Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review
Open accessAbstract
Cell line misidentification, first exposed when HeLa cells were shown to contaminate dozens of “unique” cultures, now compromises roughly one in five lines and renders thousands of papers potentially unreliable, propagating unreliable data through hundreds of thousands of citations. The financial fallout is vast with irreproducible research linked to faulty cell stocks costing the United States an estimated $28 billion each year. Today, authentication is rapid, cheap and highly accurate. Modern 24-plex short tandem repeat (STR) kits, analyzed by six-dye capillary electrophoresis and benchmarked against public databases, verify a culture in half a day for less than €40, lowering the probability of mistaken identity to less than 10–15. Complementary SNP panels, low-pass genome sequencing, digital PCR and nascent methylation “age clocks” close remaining blind spots such as aneuploidy or mixed-species co-cultures. Monte-Carlo modeling shows that even at a contamination risk of 0.07% routine STR testing yields a five-year return on investment above 3000% for a mid-size lab. Reflecting this evidence, ANSI/ATCC standards, NIH and Horizon Europe grants, major journals and FDA/EMA guidelines now encourage, recommend, or make authentication mandatory. This review discusses the historical roots and economic losses resulting from cell misidentification and contamination and offers a pragmatic roadmap to prevent working with falsified cell lines. It is further discussed that FAIR-compliant data archiving and integration of STR workflows into laboratory data management systems will allow laboratories to shift from sporadic testing of cell quality to continuous, artificial intelligence-supported assessments.
AI snapshot
Written from the paper’s full text.
TL;DR
This narrative review traces cell-line misidentification from HeLa contamination to modern STR authentication and argues that routine authentication is scientifically and economically necessary. It reports historical misidentification rates, downstream citation and cost estimates, and regulatory/technical developments, while presenting ROI and automation claims as illustrative or proof-of-concept.
Key findings
- Historical and meta-analytic estimates: 18% (45/252) of commonly used human tumor cell lines were misidentified; about 33% of prostate and nearly 50% of thyroid cell lines were misidentified; the ICLAC register lists approximately 150 HeLa-contaminated lines; MDA-MB-435 spawned more than 1200 publications between 1982 and 2016.
- Economic burden: irreproducible research linked to faulty cell stocks costs the United States an estimated $28 billion per year; HEp-2 and Intestine 407 studies (8497 and 1397 publications) were estimated to cost roughly $990 million; retracted NIH-funded articles averaged $392,582 ± $423,256 each; every €1 invested in authentication is estimated to yield about €6 in savings.
- Modern STR authentication: 24-plex kits can verify a culture in less than half a day for under €40, with 2022 ANSI/ATCC marker updates giving probability-of-identity values of 1.14 × 10⁻¹⁵ and 2.97 × 10⁻¹⁵; a “match” requires ≥80% allele concordance across shared loci; routine STR testing was modeled at a five-year ROI above 3000%, with Table 3 reporting over 3200%.
- Complementary and emerging methods: SNP panels, low-pass whole-genome sequencing at less than €150 per sample, digital PCR, and methylation clocks close blind spots; a mouse STR panel distinguishes cell lines with over 98% confidence; deep neural networks identified 30 cell lines from brightfield images with 99.8% accuracy; AI-assisted STR peak calling was reported to reduce analyst interventions by about 40% and false positives by about 60%.
Methods
- Narrative review informed by a structured but non-systematic literature search of PubMed/MEDLINE, Web of Science Core Collection, and Scopus, using controlled vocabulary and free-text terms related to cell lines, misidentification, authentication technologies, reproducibility, and economic impact.
- Reference lists and guidelines/policy documents from organizations including ANSI/ATCC, NIH, FDA, EMA, ICLAC, ATCC, DSMZ, and Cellosaurus were screened; eligible sources included peer-reviewed articles, guidelines, consensus statements, and reports on prevalence/consequences, authentication method performance, and regulatory, ethical, data-stewardship, or economic aspects.
- Synthesis is narrative and includes illustrative calculations plus cost-benefit/ROI modeling (Table 3; Table S1 using an OpenAI o3 prompt) with sensitivity discussion.
Limitations
- The paper states that economic examples are order-of-magnitude estimates sensitive to assumed misidentification probability, per-incident costs, and STR unit cost, and that the 3200% five-year ROI is an illustrative scenario rather than a universal benchmark.
- The paper states that automation and AI quantitative improvements are proof-of-concept benchmarks from specific validation datasets, likely vary by kit chemistry, instrument type, and laboratory expertise, require independent replication, and that smart PCR thermocyclers and blockchain-anchored provenance systems remain pilot or early-adopter technologies.
- Evident from the text: this is a single-author narrative review with a non-systematic search rather than a formally registered systematic review, and it presents no primary multicenter prospective implementation data.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
83 of 145 cited sources checked · 28 supported · 2 flagged · accuracy not yet measured
- Premisecitation
The usage of contaminated or misidentified cells could cost the US over $28 billion per year.
“the usage of contaminated or misidentified cells could cost the US over $28 billion/year from which 36.1% are believed to be linked to biological reagents and reference materials [15,140].”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [15] Freedman, L.P., Cockburn, I.M., and Simcoe, T.S. (2015). The economics of reproducibility in preclinical research. PLoS Biol., 13, Erratum in: PLoS Biol. 2018, 16, e1002626. source
- cites [140] Eckers, 2018, Identity crisis—Rigor and reproducibility in human cell lines, Radiat. Res. source
In “Identity Crisis – rigor and reproducibility in human cell lines,” the paper estimates the US cost at as much as $20 billion per year, not over $28 billion per year. The cited passage therefore contradicts the claimed amount. (LLM, conf=0.90)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured
- Premisecitation
A 25% reduction in the use of misidentified cell lines is estimated to rescue billions of US$ in funding.
“Authentication, once viewed as an optional courtesy, has become a fiscal imperative, with a 25% reduction in the use of misidentified cell lines estimated to rescue billions of US$ in funding [29].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [29] Harbut, 2024, The history, landscape, and outlook of human cell line authentication and security, SLAS Discov. source
Section 5, “Economic and global impact” (page unavailable), says that a 25% reduction in waste from irreproducible preclinical research could rescue billions of USD in funding. It does not estimate those savings from a 25% reduction in the use of misidentified cell lines. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
Schweppe and colleagues showed that nearly 50% of thyroid cell lines were misidentified.
“Similarly, Schweppe and colleagues showed that nearly 50% of thyroid cell lines were misidentified [13].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [13] Schweppe, 2008, Deoxyribonucleic acid profiling analysis of 40 human thyroid cancer cell lines reveals cross-contamination resulting in cell line redundancy and misidentification, J. Clin. Endocrinol. Metab. source
The Abstract and Discussion (pages unavailable) report substantial problems among the 40 presumptive thyroid cancer cell lines, including redundancy and misidentification. The Discussion identifies 12 redundant lines unlikely to be of thyroid origin, six redundant lines likely of thyroid origin, and one additional line unlikely to be of thyroid origin. Thus nearly half had an identity or redundancy problem, but the paper does not say that nearly half were misidentified in the narrower sense of being nonthyroid lines. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
In the latest version of the Register of Misidentified Cell Lines, approximately 150 cell lines are listed that have been contaminated with HeLa cells.
“Even worse: In the latest version of the Register of Misidentified Cell Lines, which is regularly updated by the International Cell Line Authentication Committee, there are approximately 150 cell lines listed that have been contaminated with HeLa cells [24].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [24] Theodosopoulos, 2010, Check your cultures! A list of cross-contaminated or misidentified cell lines, Int. J. Cancer source
In “Checking the Literature: A List of Cross-Contaminated Cell Lines” (page unavailable), the paper reports that HeLa contaminated 106 of the 360 cell lines in its version 6.4 list. This supports HeLa’s presence on the list, but not the claim of approximately 150 in a later, regularly updated register; the paper does not report that later version. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Interpretationcitation
Authentication, once viewed as an optional courtesy, has become a fiscal imperative.
“Authentication, once viewed as an optional courtesy, has become a fiscal imperative, with a 25% reduction in the use of misidentified cell lines estimated to rescue billions of US$ in funding [29].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] Harbut, 2024, The history, landscape, and outlook of human cell line authentication and security, SLAS Discov. source
The Economic and global impact section describes substantial costs from misidentified cell lines, supporting the characterization of authentication as a fiscal imperative. But its estimate that a 25% reduction could rescue billions of dollars refers to a reduction in spending on irreproducible research, not a 25% reduction in the use of misidentified cell lines. The historical description of authentication as an “optional courtesy” is not established in the cited passages. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Interpretationcitation
Three technological leaps transformed STR profiling from a forensic tool into a customized cell-culture safeguard.
“Three technological leaps transformed STR profiling from a forensic tool into a customized cell-culture safeguard [28].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] Weiskirchen, S., Schröder, S.K., Buhl, E.M., and Weiskirchen, R. (2023). A beginner’s guide to cell culture: Practical advice for preventing needless problems. Cells, 12. source
Section 6, “Short Tandem Repeat Profiling,” describes STR profiling as a common way to detect cell-line misidentification and cross-contamination, supporting its role as a cell-culture safeguard. It does not describe three technological leaps or say that STR profiling moved from forensic use into cell culture. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
The ANSI/ATCC thresholds were chosen to account for minor drift such as loss of Y chromosome in culture, observed in about 45% of male-derived cell lines, or extra alleles and microsatellite instability, while still identifying biologically significant divergence.
“These thresholds were chosen to account for minor drift, such as the loss of the Y chromosome in culture, that is observed in about 45% of male-derived cell lines [45], or the occurrence of extra alleles and microsatellite instability, while still identifying biologically significant divergence [32].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [45] Liang-Chu, M.M., Yu, M., Haverty, P.M., Koeman, J., Ziegle, J., Lee, M., Bourgon, R., and Neve, R.M. (2015). Human biosample authentication using the high-throughput, cost-effective SNPtrace(TM) system. PLoS ONE, 10. source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured - cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
- Premisecitation
L-02 has been used in liver research in approximately 2195 studies.
“Originally presented as a human fetal hepatocyte cell line [21], L-02 has been used in liver research in approximately 2195 studies [22].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [22] Shao, 2024, Stop using the misidentified cell line LO2 as a human hepatocyte, J. Hepatol. source
- Premisecitation
Korch and Capes-Davis identified 8497 and 1397 published articles that used the HeLa derivatives HEp-2 and Intestine 407 extensively describing them as laryngeal cancer and normal intestine cells.
“They identified 8497 and 1397 published articles that used the HeLa derivatives HEp-2 (CVCL_1906) and Intestine 407 (CVCL_1907) extensively describing them as laryngeal cancer and normal intestine cells [19].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [19] Korch, 2021, The extensive and expensive impacts of HEp-2 [HeLa], Intestine 407 [HeLa], and other false cell lines in journal publications, SLAS Dis. source
- Premisecitation
Horbach and Halffman found 32,755 papers referencing dubious and mislabeled cells with questionable data.
“Horbach and Halffman found 32,755 papers referencing dubious and mislabeled cells with questionable data [18].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [18] Horbach, S.P.J.M., and Halffman, W. (2017). The ghosts of HeLa: How cell line misidentification contaminates the scientific literature. PLoS ONE, 12. source
- Premisecitation
Stern and colleagues calculated that each retracted article funded by the NIH accounted for a mean of $392,582 ± $423,256.
“Stern and colleagues discussed the general financial costs of retracted articles that were funded by the NIH and calculated that each retracted articles accounted for a mean of $392,582 ± $423,256 [16].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Stern, 2014, Financial costs and personal consequences of research misconduct resulting in retracted publications, Elife source
- Premisecitation
A set of eight autosomal STR markers (CSF1PO, D5S818, D7S820, D13S317, D16S539, TH01, TPOX, vWA) reduces the probability of identity for African American and Caucasian populations to 4.09 × 10−9 and 1.02 × 10−8, respectively.
“Initially suggested in the ASN-0002-2011 standard [32], a set of eight autosomal STR markers (CSF1PO, D5S818, D7S820, D13S317, D16S539, TH01, TPOX, and vWA) reduce the probability of identity (POI) for the African American and Caucasian populations to 4.09 × 10−9 and 1.02 × 10−8, respectively [33].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] Durney, 2015, Capillary electrophoresis applied to DNA: Determining and harnessing sequence and structure to advance bioanalyses (2009–2014), Anal. Bioanal. Chem. source
The DNA sizing section says STRs are used for human identification and probability matching, but it does not report results for the specified eight-marker panel. Searches for the marker names, probability of identity, and both numerical values found no passage giving the claimed estimates for African American or Caucasian populations. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
Horbach and Halffman estimated that 32,755 original flawed papers resulted in about 500,000 citations, implying a mean of roughly 15 citations per irreproducible paper.
“Horbach and Halffman estimated that 32,755 original flawed papers resulted in about 500,000 citations, implying a mean of roughly 15 citations per irreproducible paper [18].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [18] Horbach, S.P.J.M., and Halffman, W. (2017). The ghosts of HeLa: How cell line misidentification contaminates the scientific literature. PLoS ONE, 12. source
The Abstract reports 32,755 articles using misidentified cells, and the Results (Contamination of the scientific literature) estimate over 500,000 citations; dividing those figures gives roughly 15 citations per article. But the paper does not establish that every article was irreproducible: the Introduction says misidentification may affect results only marginally in some cases. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Interpretationcitation
STR-based cell line authentication functions as a macro-economic stabilizer for the entire biomedical ecosystem.
“It functions as a macro-economic stabilizer for the entire biomedical ecosystem and will prevent needless problems [28].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [28] Weiskirchen, S., Schröder, S.K., Buhl, E.M., and Weiskirchen, R. (2023). A beginner’s guide to cell culture: Practical advice for preventing needless problems. Cells, 12. source
Section 6 (page unavailable) says STR profiling identifies cell-line cross-contamination and misidentification, supporting its role in preventing research problems. The Conclusions (page unavailable) recommend cell authentication to protect the reliability of cell-culture research. Neither passage supports calling STR authentication a macro-economic stabilizer for the entire biomedical ecosystem. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Rests on an assumption: Modern 24-plex STR kits verify a culture in half a day for less than €40 and lower the probability of mistaken identity to less than 10–15.
- Premisecitation
Damage to reputation after retracting papers for any reason plays a crucial role in faculty recruitment and philanthropy efforts.
“Damage to reputation after retracting papers for any reason also plays a crucial role in faculty recruitment and philanthropy efforts [16].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [16] Stern, 2014, Financial costs and personal consequences of research misconduct resulting in retracted publications, Elife source
The Discussion section ('Research misconduct entails other financial costs'; page not provided) says misconduct can damage institutional and lab members’ reputations and might affect future funding. It does not link that damage to faculty recruitment or philanthropy, and its analysis concerns retractions due to misconduct rather than retractions for any reason. (LLM, conf=0.85)
Experimental — accuracy not yet measured
- Premisecitation
The 2018 series of oncology retractions at a Swedish university resulted in early retirement from a scientific career of involved authors.
“For instance, a Swedish university experienced a series of oncology retractions in 2018, resulting in a significant decrease in competitive funding and early retirement from a scientific career of involved authors [141,142].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [141] Schneider, L. (2025, November 23). For Better Science. Available online: https://forbetterscience.com/2018/06/27/gothenburg-to-sack-sumitran-holgersson-requests-7-retractions/.
Not checked in the free run.
- cites [142] Marcus, 2014, What studies of retractions tell us, J. Microbiol. Biol. Educ. source
The “Mixed Effects on Careers” section discusses career consequences of retractions generally, but does not describe a Swedish university, a 2018 oncology retraction series, or any authors’ early retirement. Searches for the Swedish case and retirement found no passage addressing that specific claim. (LLM, conf=0.77)
Experimental — accuracy not yet measured
- Premisecitation
36.1% of the cost of contaminated or misidentified cell usage is believed to be linked to biological reagents and reference materials.
“the usage of contaminated or misidentified cells could cost the US over $28 billion/year from which 36.1% are believed to be linked to biological reagents and reference materials [15,140].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [15] Freedman, L.P., Cockburn, I.M., and Simcoe, T.S. (2015). The economics of reproducibility in preclinical research. PLoS Biol., 13, Erratum in: PLoS Biol. 2018, 16, e1002626. source
- cites [140] Eckers, 2018, Identity crisis—Rigor and reproducibility in human cell lines, Radiat. Res. source
The main text (page not provided) links contaminated or misidentified cell lines to substantial US costs, estimating as much as $20 billion per year. It does not report the claimed 36.1% share for biological reagents and reference materials, and its estimate does not support the citing sentence’s figure of over $28 billion per year. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Interpretationcitation
Integration of lpWGS CNV profiles with single-cell RNA-seq enables researchers to correlate structural variants with gene-expression changes in cell-line sub-clones, organoids or primary tissue samples.
“This enables researchers to correlate structural variants with gene-expression changes in cell-line sub-clones, organoids or primary tissue samples [52,53].”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [52] Cho, 2018, CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones, Bioinformatics source
Section 2.1 reports combining scRNA-seq with exome sequencing from a glioblastoma biopsy and examining correlations between CNV status and gene expression. Section 2.3 describes comparing expression networks between inferred tumor clones. Our copy does not establish the claim specifically for lpWGS CNV profiles, cell-line sub-clones, or organoids. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [53] Kumar, 2022, Single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer, Cancer Discov. source
The Results section reports that CNV profiles inferred from scRNA-seq agreed with profiles from bulk whole-exome sequencing of the same gastric tumors, and that a cell subcluster with high oncogenic-signature expression also had many CNVs. This supports relating copy-number changes to expression patterns in tumor cells, but the paper uses WES rather than lpWGS and does not establish the claimed approach for cell-line sub-clones. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Canine genetic testing panels of SNP clusters, nonsense variants, frame-shift indels, and long STR expansions can distinguish between popular dog breeds.
“Canine genetic testing panels of SNP clusters, nonsense variants, frame-shift insertions or deletions (indels), and long STR expansions can distinguish between popular dog breeds, which is important for toxicology studies [65].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [65] Li, Z., Wang, Z., Chen, Z., Voegeli, H., Lichtman, J.H., Smith, P., Liu, J., DeWan, A.T., and Hoh, J. (2023). Systematically identifying genetic signatures including novel SNP-clusters, nonsense variants, frame-shift INDELs, and long STR expansions that potentially link to unknown phenotypes existing in dog breeds. BMC Genom., 24. source
The Discussion (page unavailable) reports breed-specific SNP, INDEL, and STR signatures that distinguish breeds, and the Results identify breed-specific nonsense and frame-shift variants. The paper describes a genomic signature catalog, not a tested canine genetic-testing panel; it also does not establish the stated importance for toxicology studies. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
This panel can distinguish between the identity of mouse cell lines with over 98% confidence.
“This panel can distinguish between the identity of mouse cell lines with over 98% confidence [75].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [75] Almeida, J.L., Dakic, A., Kindig, K., Kone, M., Letham, D.L.D., Langdon, S., Peat, R., Holding-Pillai, J., Hall, E.M., and Ladd, M. (2019). Interlaboratory study to validate a STR profiling method for intraspecies identification of mouse cell lines. PLoS ONE, 14. source
The Introduction says the assay distinguishes among mouse cell lines, and the Discussion says concordance above 98% provides an accurate STR profile for cell-line identity. But the Methods define concordance as agreement among laboratories on allele calls, not a greater-than-98% confidence level for distinguishing cell lines. The Discussion also cautions that an accurate profile does not establish complete authenticity. (LLM, conf=0.90)
Experimental — accuracy not yet measured
- Premisecitation
In 2021, Korch and Capes-Davis estimated that roughly $990 million were spent to publish the 8497 HEp-2 and 1397 Intestine 407 studies in which these false cell lines were used.
“In 2021, Korch and Capes-Davis estimated the financial consequences of using the two HeLa contaminated cell lines HEp-2 and Intestine 407. They concluded that roughly $990 million were spent to publish the 8497 HEp-2 and 1397 Intestine 407 studies in which these false cell lines were used [19].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [19] Korch, 2021, The extensive and expensive impacts of HEp-2 [HeLa], Intestine 407 [HeLa], and other false cell lines in journal publications, SLAS Dis. source
- Premisecitation
A multiplex PCR assay targeting 18 mouse-specific tetranucleotide STR markers and two human STR markers for contamination detection is widely used for mouse cell line authentication.
“A multiplex PCR assay that targets 18 mouse-specific tetranucleotide STR markers (1-1, 1-2, 2-1, 3-2, 4-2, 5-5, 6-4, 6-7, 7-1, 8-1, 11-2, 12-1, 13-1, 15-3, 17-2, 18-3, 19-2, and X-1), as well as two human STR markers (D4S2408, and D8S1106) for contamination detection is widely used for mouse cell line authentication [75].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [75] Almeida, J.L., Dakic, A., Kindig, K., Kone, M., Letham, D.L.D., Langdon, S., Peat, R., Holding-Pillai, J., Hall, E.M., and Ladd, M. (2019). Interlaboratory study to validate a STR profiling method for intraspecies identification of mouse cell lines. PLoS ONE, 14. source
The Materials and methods section lists the mouse loci and the two human markers used to screen for contamination. The Results section says marker 11–1 was removed, leaving the 18 mouse markers named in the claim. The paper validates the assay across 12 participating laboratories, but does not establish that it is widely used for routine mouse cell line authentication; the passages found also do not establish that all 18 markers are tetranucleotide repeats. Page numbers were not provided in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
In workflows involving admixtures such as patient-derived xenografts where human tumor cells grow in mouse stroma, dPCR can detect human DNA in a murine background.
“In workflows involving admixtures, such as patient-derived xenografts where human tumor cells grow in mouse stroma, dPCR can detect human DNA in a murine background [57].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [57] Jin, J., Huo, L., Fan, Y., Wang, R., Scott, A.W., Pizzi, M.P., Yao, X., Shao, S., Ma, L., and Da Silva, M.S. (2023). A new intronic quantitative PCR method led to the discovery of transformation from human ascites to murine malignancy in a mouse model. Front. Oncol., 13. source
The Results section (page unavailable) reports detection of human and mouse genomic DNA in mixed samples, including PDX tumors. But the method tested is intronic quantitative PCR (qPCR), not digital PCR (dPCR), so the cited paper does not establish the claim about dPCR. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Even samples with a correct STR profile can be impacted or experience methylation drift.
“Even samples with a correct STR profile can be impacted or experience methylation drift [61],”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [61] Garg, 2023, Genome-wide evaluation of the effect of short tandem repeat variation on local DNA methylation, Genome Res. source
The Results (Identification of mSTRs with putative regulatory effects; page unavailable) say that factors other than STRs can influence DNA methylation. This supports the general point that an STR genotype does not determine methylation, but the paper does not examine samples with a correct STR authentication profile or show methylation drift over time. (LLM, conf=0.77)
Experimental — accuracy not yet measured
- Premisecitation
GigaMUGA scoring for 143,259 probes showed high performance in a set of 500 high-quality reference samples spanning laboratory inbred strains, recombinant inbred lines, outbred stocks, and wild-caught mice.
“The robustness, simplicity and curated content of the third generation of this genotyping array (GigaMUGA) scoring for 143,259 probes showed high performance in a set of 500 high-quality reference samples spanning laboratory inbred strains, recombinant inbred lines, outbred stocks, and wild-caught mice [67].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [67] Morgan, 2015, The Mouse Universal Genotyping Array: From Substrains to Subspecies, Genetics source
- Premisecitation
The 2018 series of oncology retractions at a Swedish university resulted in a significant decrease in competitive funding.
“For instance, a Swedish university experienced a series of oncology retractions in 2018, resulting in a significant decrease in competitive funding and early retirement from a scientific career of involved authors [141,142].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [141] Schneider, L. (2025, November 23). For Better Science. Available online: https://forbetterscience.com/2018/06/27/gothenburg-to-sack-sumitran-holgersson-requests-7-retractions/.
Not checked in the free run.
- cites [142] Marcus, 2014, What studies of retractions tell us, J. Microbiol. Biol. Educ. source
The “Mixed Effects on Careers” section (page unavailable) reports that funding can decline after retractions, including reduced funding flows into related fields. It does not address the 2018 oncology retractions at a Swedish university or establish a significant decrease in competitive funding there; the paper was published in 2014. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
Hybridomas are intentionally created fusions, typically between mouse myeloma cells and B-cells from various species, including humans.
“Hybridomas present a unique challenge as they are intentionally created fusions, typically between mouse myeloma cells and B-cells from various species, including humans [71].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [71] Listek, 2020, A novel selection strategy for antibody producing hybridoma cells based on a new transgenic fusion cell line, Sci. Rep. source
The Introduction describes hybridomas formed by fusing myeloma cells with B lymphocytes, and the Methods identify the myeloma cells as murine. The study uses lymphocytes from mice; our copy does not support the added claim that the B cells typically come from various species, including humans. Page numbers were not supplied. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
A Swedish university experienced a series of oncology retractions in 2018.
“For instance, a Swedish university experienced a series of oncology retractions in 2018, resulting in a significant decrease in competitive funding and early retirement from a scientific career of involved authors [141,142].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [141] Schneider, L. (2025, November 23). For Better Science. Available online: https://forbetterscience.com/2018/06/27/gothenburg-to-sack-sumitran-holgersson-requests-7-retractions/.
Not checked in the free run.
- cites [142] Marcus, 2014, What studies of retractions tell us, J. Microbiol. Biol. Educ. source
The cited paper’s “Mixed Effects on Careers” section discusses retractions and their effects on funding and careers generally, but does not describe a Swedish university or a series of oncology retractions in 2018. Searches for the Swedish institution, oncology retractions, and the year found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
The carbon emissions of one complete STR profile are comparable to those generated by a full blood examination in a hospital setting.
“However, a rough theoretical LCA suggests that one complete STR profile contributes roughly 0.1 kg carbon dioxide equivalent (CO2e) (Table 4), comparable to the carbon emissions generated by a full blood examination in a hospital setting [150].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [150] McAlister, 2020, The carbon footprint of pathology testing, Med. J. Aust. source
- Premisecitation
In a pilot study involving data from thirty different cell lines, Tong and colleagues' deep neural network method accurately identified cell lines using brightfield images with a 99.8% accuracy.
“In a pilot study involving data from thirty different cell lines, the methods accurately identified cell lines using deep neural networks on brightfield images with a 99.8% accuracy [161].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [161] Tong, 2022, An automated cell line authentication method for AstraZeneca global cell bank using deep neural networks on brightfield images, Sci. Rep. source
- Findingown data
Monte-Carlo modeling shows that even at a contamination risk of 0.07% routine STR testing yields a five-year return on investment above 3000% for a mid-size lab.
“Monte-Carlo modeling shows that even at a contamination risk of 0.07% routine STR testing yields a five-year return on investment above 3000% for a mid-size lab.”
Quote in the paperNot a substantial claim - Findingreasoning
The modeled return on investment depends strongly on the assumed annual probability of cell-line misidentification in the absence of testing, the direct and downstream costs attributed to each misidentified line, and the unit cost of STR testing.
“In particular, the modeled return on investment depends strongly on the assumed annual probability of cell-line misidentification in the absence of testing, the direct and downstream costs attributed to each misidentified line, and the unit cost of STR testing, all of which can vary substantially between laboratories, institutions, and funding systems.”
Quote in the paperSubstantial claim - Findingown data
Even when using more conservative parameter ranges (lower misidentification probabilities and lower per-incident damage), the net benefit of routine authentication generally remains positive over a multi-year horizon.
“Simple sensitivity analyses indicate that even when using more conservative parameter ranges (e.g., lower misidentification probabilities and lower per-incident damage), the net benefit of routine authentication generally remains positive over a multi-year horizon, but the implied ROI can vary by an order of magnitude.”
Quote in the paperSubstantial claim - Findingown data
The implied ROI from routine authentication can vary by an order of magnitude.
“Simple sensitivity analyses indicate that even when using more conservative parameter ranges (e.g., lower misidentification probabilities and lower per-incident damage), the net benefit of routine authentication generally remains positive over a multi-year horizon, but the implied ROI can vary by an order of magnitude.”
Quote in the paperNot a substantial claim - Findingown data
For a middle-sized biomedical laboratory, the expected return on investment from routine authentication would be over 3200% in 5 years.
“Based on this simple prompt and setting parameters typical of a middle-sized biomedical laboratory, the expected return on investment (ROI) would be over 3200% in 5 years.”
Quote in the paperNot a substantial claim - Findingcitation
One complete STR profile contributes roughly 0.1 kg carbon dioxide equivalent (CO2e).
“However, a rough theoretical LCA suggests that one complete STR profile contributes roughly 0.1 kg carbon dioxide equivalent (CO2e) (Table 4), comparable to the carbon emissions generated by a full blood examination in a hospital setting [150].”
Quote in the paperNot a substantial claim - Premisecitation
Work by van Bokhoven and colleagues found that about 33% of prostate cell lines were misidentified.
“Work by van Bokhoven and colleagues found that about 33% of prostate cell lines were misidentified [11,12].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [11] Korch, 2001, TSU-Pr1 and JCA-1 cells are derivatives of T24 bladder carcinoma cells and are not of prostatic origin, Cancer Res.
Not checked in the free run.
- cites [12] Korch, 2001, Widely used prostate carcinoma cell lines share common origins, Prostate source
- Interpretationreasoning
Applying the average of roughly 15 citations per irreproducible paper to L-02 suggests on the order of 2195 × 15 ≈ 32,925 downstream citations to work relying on this misidentified line.
“Applying this average to L-02 suggests on the order of 2195 × 15 ≈ 32,925 downstream citations to work relying on this misidentified line (Figure 2A).”
Quote in the paperSubstantial claim- Rests on an assumption: The average citation rate of roughly 15 citations per irreproducible paper applies to studies using L-02.
- Premisecitation
In 1967, Stanley Gartler published data showing that HeLa had infected and taken over the cultures of 18 different cell lines.
“In 1967, Stanley Gartler published data showing that HeLa had infected and taken over the cultures of 18 different cell lines [3].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] Gartler, 1968, Apparent Hela cell contamination of human heteroploid cell lines, Nature source
- Premisecitation
Nelson-Rees discovered that HeLa cells had already contaminated over 40 supposedly "unique" cultures, including KB, Chang liver, HEp-2, HBT3, and Intestine 407.
“He discovered, through analyzing type A mobility for glucose-6-phosphate dehydrogenase and the lack of a Y chromosome, that HeLa cells had already contaminated over 40 supposedly “unique” cultures, including those labeled KB (CVCL_0372), Chang liver (CVCL_0238), HEp-2 (CVCL_1906), HBT3 (CVCL_D281), and Intestine 407 (INT407, CVCL_1907) [4,5].”
Quote in the paperNot a substantial claim0 of 2 sources checked - Premisecitation
An informal survey by MacLeod and colleagues in 1999 placed the misidentification rate of human tumor cell lines at 18% (45 out of 252) among commonly used lines.
“An informal survey by MacLeod and colleagues in 1999 placed the misidentification rate of human tumor cell lines at 18% (45 out of 252) among commonly used lines, figures that shocked even seasoned researchers [9,10].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [9] Tanabe, 1999, Cell line individualization by STR multiplex system in the cell bank found cross-contamination between ECV304 and EJ-1/T24, J-Stage
Not checked in the free run.
- cites [10] MacLeod, 1999, Widespread intraspecies cross-contamination of human tumor cell lines arising at source, Int. J. Cancer source
- Premisecitation
STR profiling is based on polymorphic short tandem repeat loci that mutate fast enough to create diversity among individuals but slowly enough to persist through cell culture passages.
“Short tandem repeat (STR) profiling is based on a fundamental genetic principle. Some loci contain 2–6 polymorphic base pair repeats that mutate at a high enough rate to create significant diversity among individuals, but at a low enough rate to persist through cell culture passages [30].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] Markossian, S., Grossman, A., Baskir, H., Arkin, M., Auld, D., Austin, C., Baell, J., Brimacombe, K., Chung, T.D.Y., and Coussens, N.P. (2025, December 04). Authentication of Human and Mouse Cell Lines by Short Tandem Repeat (STR) DNA Genotype Analysis, Assay Guidance Manual, Available online: https://www.ncbi.nlm.nih.gov/books/NBK144066/.
Not checked in the free run.
- Premisecitation
The economic impact of irreproducible research, of which cell-line problems constitute a major share, has been estimated at $28 billion per year in the United States alone.
“The financial fallout is vast with irreproducible research linked to faulty cell stocks costing the United States an estimated $28 billion each year.”
- Also stated in: § 1. Introduction · hedged
“The economic impact of irreproducible research, of which cell-line problems constitute a major share, has been estimated at $28 billion per year in the United States alone [15].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15] Freedman, L.P., Cockburn, I.M., and Simcoe, T.S. (2015). The economics of reproducibility in preclinical research. PLoS Biol., 13, Erratum in: PLoS Biol. 2018, 16, e1002626. source
- Rests on an assumption: Cell-line problems constitute a major share of irreproducible research.
- Also stated in: § 1. Introduction · hedged
- Premisecitation
A small number of tetranucleotide repeat sequences provides high discriminatory power sufficient to discriminate between most laboratory cell stocks.
“This method was later adapted for cell-line research, suggesting that a small number of tetranucleotide repeat sequences provided a high discriminatory power, which is already sufficient to discriminate between most laboratory cell stocks [9,31].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [9] Tanabe, 1999, Cell line individualization by STR multiplex system in the cell bank found cross-contamination between ECV304 and EJ-1/T24, J-Stage
Not checked in the free run.
- cites [31] Masters, 2001, Short tandem repeat profiling provides an international reference standard for human cell lines, Proc. Natl. Acad. Sci. USA source
- Premisenone given
At 1-2× coverage, lpWGS may not be able to detect most point mutations.
“At 1–2× coverage, lpWGS may not be able to detect most point mutations, but it is highly effective in identifying CNVs, aneuploidy, and species contamination.”
Quote in the paperNot a substantial claim - Premisenone given
Insect cell lines do not have the same extensive reference databases as mammalian systems.
“Insect cell lines, such as Sf9, High-Five™, and Drosophila S2 allow for high-yield production of recombinant proteins, but they do not have the same extensive reference databases as mammalian systems.”
Quote in the paperNot a substantial claim - Premisecitation
NIH Notice NOT-OD-15-103 compels grant applicants to include a rigor and transparency plan outlining how they will authenticate key biological materials.
“The U.S. National Institutes of Health (NIH) issued Notice NOT-OD-15-103 titled “Enhancing reproducibility through rigor and transparency”, compelling grant applicants to include a “rigor and transparency” plan outlining how they will authenticate key biological materials [85].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [85] (2025, November 23). NOT-OD-15-103. Enhancing Reproducibility Through Rigor and Transparency, Available online: https://grants.nih.gov/grants/guide/notice-files/not-od-15-103.html.
Not checked in the free run.
- Premisecitation
Laboratories accredited under CLIA in the United States or ISO 15189 internationally must demonstrate compliance with cell-line authentication during on-site inspections, including documentation of instrument calibration and analyst competency.
“Laboratories accredited under Clinical Laboratory Improvement Amendments (CLIA) in the United States or ISO 15189 internationally, must now demonstrate compliance during on-site inspections, including documentation of instrument calibration and analyst competency [84].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [84] (2022). Medical Laboratories-Requirements for Quality and Competence (Standard No. ISO 15189). Available online: https://www.iacld.com/UpFiles/Documents/2e096ce5-485b-4f22-b7be-e557fb7d06f8.pdf.
Not checked in the free run.
- Premisenone given
Using a two-color probe set that targets human Alu sequences versus murine B1 elements, dPCR can provide a contamination readout in under 60 min.
“Using a two-color probe set that targets human Alu sequences versus murine B1 elements, dPCR can provide a contamination readout in under 60 min.”
Quote in the paperNot a substantial claim - Premisenone given
Chloroplast capture and mitochondrial recombination events can lead to inaccuracies with organellar markers.
“However, chloroplast capture and mitochondrial recombination events can lead to inaccuracies with organellar markers.”
Quote in the paperNot a substantial claim - Interpretationreasoning
By incorporating molecular identity into informatics infrastructure, laboratories shift authentication from sporadic "fire drills" to continuous quality assurance.
“By incorporating molecular identity into the informatics infrastructure, laboratories shift authentication from sporadic “fire drills” to continuous quality assurance.”
Quote in the paperNot a substantial claim - Premisenone given
Peaks from the minor species in STR analysis may be obscured by the dominant component, resulting in uncertain contamination thresholds.
“Peaks from the minor species in STR analysis may be obscured by the dominant component, resulting in uncertain contamination thresholds.”
Quote in the paperNot a substantial claim - Premisecitation
The International Journal of Cancer requires authors using established cell lines to provide a certificate of authentication not older than three years confirming origin and identity.
“authors using established cell lines must provide a certificate of authentication that is not older than three years, confirming the origin and identity of the cells [88].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [88] IJC (2025, November 23). Author Guidelines. Available online: https://onlinelibrary.wiley.com/page/journal/10970215/homepage/forauthors.html.
Not checked in the free run.
- Interpretationreasoning
CLIA/ISO 15189 accreditation will require documentation of cell line authentication when cell-based assays are used.
“This will also require documentation of cell line authentication when cell-based assays are used.”
Quote in the paperNot a substantial claim - Premisecitation
Many mouse strains commonly used in transgenic and knockout production have differences in metabolism, vision, immunopathology, and behavior.
“Substrains like C57BL/6J and C57BL/6N, which diverged in 1951, and many other mouse strains commonly used in transgenic and knockout production have differences in metabolism, vision, immunopathology, and behavior [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Bothe, 2004, Genetic and behavioral differences among five inbred mouse strains commonly used in the production of transgenic and knockout mice, Genes Brain Behav. source
- Premisecitation
SNP panels offer the added benefit of detecting copy-number variations larger than 50 kb.
“However, they also offer the added benefit of detecting copy-number variations (CNVs) larger than 50 kb.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Seeb, 2009, SNP genotyping by the 5’-nuclease reaction: Advances in high-throughput genotyping with nonmodel organisms, Methods Mol. Biol. source
- Premisenone given
Mouse cell lines can be traced back to a small group of inbred founders.
“For example, mouse cell lines can be traced back to a small group of inbred founders.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The regulatory message is that authentication has evolved from a best practice to a mandatory standard.
“The regulatory message is clear: authentication has evolved from a best practice to a mandatory standard.”
Quote in the paperSubstantial claim - Interpretationreasoning
No single authentication method can address every borderline case.
“While STR profiling remains the undisputed standard in human cell authentication, no single method can address every borderline case.”
Quote in the paperSubstantial claim - Premisereasoning
CNV profiles generated by lpWGS can be integrated with single-cell RNA-seq analyses.
“Importantly, CNV profiles generated by lpWGS can be integrated with single-cell RNA-seq analyses.”
Quote in the paperNot a substantial claim - Premisecitation
The NIH now requests authentication of key biological and/or chemical resources including cell lines in grant applications.
“The NIH now requests in grant applications the authentication of key biological and/or chemical resources including cell lines [144].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [144] (2025, November 23). NOT-OD-16-011. Implementing Rigor and Transparency in HIH & AHRQ Research Grant Applications, NOT-OD-16-011.
Not checked in the free run.
- Premisecitation
Cooper and colleagues combined a multiplex PCR-based assay to identify common cell culture species and a protocol for sequencing a 648 bp region in the COI gene that accurately determines the species of cell lines.
“Cooper and colleagues implemented a two-pronged molecular approach in which they combined a multiplex PCR-based assay to identify the most common cell culture species and a protocol for sequencing of a 648 bp region located in the cytochrome C oxidase I (COI) gene, i.e., the “barcode region”, that accurately determines the species of cell lines [69].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [69] Cooper, 2007, Species identification in cell culture: A two-pronged molecular approach, In Vitr. Cell Dev. Biol. Anim. source
- Premisecitation
Hybridomas can produce multi-allelic STR patterns that complicate standard matching algorithms.
“These hybrids can produce multi-allelic STR patterns that complicate standard matching algorithms [76].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [76] Ali Mehanna, R. (2019). Authenticating hybrid cell lines. Cell Culture, IntechOpen. source
- Premisecitation
Raw STR profiles from patient-derived xenografts are considered personal data under the GDPR and CCPA.
“regulatory regimes such as the EU General Data Protection Regulation (GDPR) [109] and the California Consumer Privacy Act (CCPA) remind us that raw STR profiles from patient-derived xenografts are considered personal data [110,111].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [109] (2025, November 23). EU Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the Protection of Individuals with Regard to the Processing of Personal Data and on the Free Movement of Such Data. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:31995L0046:en:HTML.
Not checked in the free run.
- cites [110] Rothstein, 2019, California takes the lead on data privacy law, Hastings Cent. Rep. source
- cites [111] CCPA (2025, November 23). California Consumer Privacy Act, Available online: https://oag.ca.gov/privacy/ccpa.
Not checked in the free run.
- Interpretationreasoning
SNP panels serve as the first tier of augmentation for STR profiling.
“Single-nucleotide-polymorphism (SNP) panels serve as the first tier of augmentation.”
Quote in the paperNot a substantial claim - Premisereasoning
Tests have been developed to distinguish between different cell lines from non-human models.
“In addition, tests have been developed to distinguish between different cell lines from non-human models.”
Quote in the paperNot a substantial claim - Premisecitation
SSRs targeting chloroplast microsatellites have been successful for cultivar authentication.
“Simple sequence repeats (SSRs) targeting chloroplast microsatellites have been successful for cultivar authentication [83].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [83] Zhu, 2023, SSR identification and phylogenetic analysis in four plant species based on complete chloroplast genome sequences, Plasmid source
- Interpretationreasoning
If a lab has 25 active lines, authenticating at acquisition and every tenth passage, the annual cost is approximately €4000.
“If a lab has 25 active lines, authenticating at acquisition and every tenth passage, the annual cost is approximately €4000.”
Quote in the paperNot a substantial claim - Premisecitation
The European Medicines Agency includes similar language in its ATMP framework, adding cell line authentication to GMP audits.
“The European Medicines Agency (EMA) also includes similar language in its advanced therapy medicinal product (ATMP) framework, adding cell line authentication to good manufacturing practice (GMP) audits.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [95] EMA 2007 (2025, November 23). Regulation (EC) No 1394/2007 of the European Parliament and of the Council. Available online: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:02007R1394-20190726.
Not checked in the free run.
- Premisenone given
At 1-2× coverage, lpWGS is highly effective in identifying CNVs, aneuploidy, and species contamination.
“At 1–2× coverage, lpWGS may not be able to detect most point mutations, but it is highly effective in identifying CNVs, aneuploidy, and species contamination.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Routine STR-based authentication is highly likely to be cost-saving.
“While the economic examples presented here suggest that routine STR-based authentication is highly likely to be cost-saving, these calculations should be interpreted as order-of-magnitude estimates rather than precise forecasts and are sensitive to several key assumptions.”
Quote in the paperSubstantial claim - Premisenone given
Modern 24-plex STR kits reduce the likelihood of misidentification to below 10−16.
“Technical studies confirm that modern 24-plex STR kits reduce the likelihood of misidentification to below 10−16, while additional assays such as SNP, low-pass WGS and methyl-clock assays further enhance accuracy.”
Quote in the paperNot a substantial claim - Premisenone given
Historical meta-analyses indicate that between 18% and 36% of the world's most commonly used cell lines are either misidentified or contaminated.
“Historical meta-analyses indicate that between 18% and 36% of the world’s most commonly used cell lines are either misidentified or contaminated.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The carbon footprint to establish an STR profile can be considered small compared to that resulting from meaningless cell incubation.
“When estimating that a typical cell incubator requires between 100 W/h = 2.4 kW/24 h (small incubator) or 750 W = 18 kW/24 h (large incubator), which is equal to 0.72 kg CO2e and 5.4 kg CO2e according to the assumption made in the calculation, the carbon footprint to establish an STR profile can even be considered small compared to that resulting from meaningless cell incubation.”
Quote in the paperNot a substantial claim - Premisenone given
Additional assays such as SNP, low-pass WGS and methyl-clock assays further enhance accuracy.
“Technical studies confirm that modern 24-plex STR kits reduce the likelihood of misidentification to below 10−16, while additional assays such as SNP, low-pass WGS and methyl-clock assays further enhance accuracy.”
Quote in the paperNot a substantial claim
- Classified as probably not a substantial claim. 69
- May combine two claims. 35
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationdPCR requires low DNA quantities.
“It requires low DNA quantities and provides exquisite sensitivity for absolute quantification of target nucleic acids [54,55,56].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [54] Quan, P.L., Sauzade, M., and Brouzes, E. (2018). dPCR: A technology review. Sensors, 18. source
Section 1.2 says dPCR partitions a sample so that each partition contains few or no target sequences; it does not say the sample must contain little DNA. Section 3.2 describes detection at high molecule concentrations and says the number of target sequences detected can exceed the number of partitions. Low DNA quantity is therefore not a requirement stated by this source. (LLM, conf=0.82)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [55] Trouchet, 2025, Digital PCR: From early developments to its future application in clinics, Lab Chip source
- cites [56] Aujean, 2020, Genomic DNA PCR analysis to assess xenograft development in mouse mammary gland, Biotechniques source
May combine two claims.
PremisecitationA single misidentified line MDA-MB-435 (long thought to be breast cancer but genetically indistinguishable from the melanoma line M14) spawned more than 1200 publications between 1982 and 2016, many of which were used in pre-clinical research.
“A single misidentified line such as MDA-MB-435 (long thought to be breast cancer but genetically indistinguishable from the melanoma line M14), spawned more than 1200 publications between 1982 and 2016, many of which were used in pre-clinical research [14].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [14] Korch, 2018, Authentication of M14 melanoma cell line proves misidentification of MDA-MB-435 breast cancer cell line, Int. J. Cancer source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationcitationExpert review remains crucial for STR profile interpretation despite software solutions.
“While software solutions like GeneMapper® ID-X [41], STRait Razor [42], and the open-source Haplotype inference and phasing for STRs (HipSTR) [43] include peak-height ratios, heterozygosity thresholds, and ladder alignment checks to minimize false calls, expert review remains crucial [44].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [44] Han, 2025, Next-generation sequencing-based tools or nanopore-based tools: Which is more suitable for short tandem repeats genotyping of nanopore sequencing?, Bioinform. Adv. source
The Results (§3.3 and §3.5; page unavailable) document STR genotyping errors and limitations of software tools. The Conclusion (§4; page unavailable) calls for future algorithm optimization, but neither it nor the passages retrieved for manual or expert review says that expert review of STR profiles remains crucial. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCurated reference databases such as ATCC STR, DSMZ's Cell Line Portal, and CLASTR at Cellosaurus were created as a technological advancement for STR profiling.
“The third, and perhaps most significant, advancement was the creation of curated reference databases such as ATCC STR [34], DSMZ’s Cell Line Portal [35], and CLASTR at Cellosaurus [36,37].”
Quote in the paperNot a substantial claim3 of 4 sources checked- cites [34] ATCC (2025, November 23). Search the STR Database. Available online: https://www.atcc.org/search-str-database.
Not checked in the free run.
- cites [35] Koblitz, 2022, DSMZCellDive: Diving into high-throughput cell line data, F1000Research source
- cites [36] Robin, 2020, CLASTR: The Cellosaurus STR similarity search tool—A precious help for cell line authentication, Int. J. Cancer source
- cites [37] Bairoch, 2018, The Cellosaurus, a cell-line knowledge resource, J. Biomol. Tech. source
The “STR profile sites” section says Cellosaurus incorporated reference STR profiles for cell-line authentication and identifies ATCC and DSMZ as sites offering profile searches. Our copy does not identify a tool called CLASTR at Cellosaurus, so it supports the database context but not that specific identification. No page number is available in the indexed passages. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe redundancy among sex markers helps address Amelogenin dropout caused by Y-chromosome deletions in certain leukemias and other tumor cells.
“The redundancy among sex markers helps to address the rare but documented issue of Amelogenin dropout, which can be caused by Y-chromosome deletions in certain leukemias and other tumor cells [40].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [40] Chen, 2025, Concurrent loss of the Y chromosome in cancer and T cells impacts outcome, Nature source
The 'Tumour LOY and cohort characteristics' section examines Y-chromosome loss across cancers and includes acute myeloid leukemia among the cancer types studied (page unavailable). The paper does not establish that this loss causes Amelogenin dropout or that redundant sex markers address it. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe NIST Short Tandem Repeat DNA database provides in-depth information about STRs and other identification markers used in human identification testing.
“Additionally, the recently updated Short Tandem Repeat DNA database hosted by the National Institute of Standards and Technology (NIST) provides in-depth information about STRs and other identification markers used in human identification testing [38,39].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [38] Ruitberg, 2001, STRBase: A short tandem repeat DNA database for the human identity testing community, Nucleic Acids Res. source
- cites [39] (2025, November 23). Short Tandem Repeat DNA Database (Version 2.0), Available online: https://strbase.nist.gov/.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSoftware solutions like GeneMapper ID-X, STRait Razor, and HipSTR include peak-height ratios, heterozygosity thresholds, and ladder alignment checks to minimize false calls.
“While software solutions like GeneMapper® ID-X [41], STRait Razor [42], and the open-source Haplotype inference and phasing for STRs (HipSTR) [43] include peak-height ratios, heterozygosity thresholds, and ladder alignment checks to minimize false calls, expert review remains crucial [44].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [41] Soldati, 2025, Validation of the investigator argus y-28 qs kit on the seqstudio™ genetic analyzer for hid: A new panel file for genemapper id-x software v1.6, Int. J. Leg. Med. source
- cites [42] Warshauer, 2015, STRait Razor v2.0: The improved STR Allele Identification Tool--Razor, Forensic Sci. Int. Genet. source
- cites [43] Willems, 2017, Genome-wide profiling of heritable and de novo STR variations, Nat. Methods source
The Main Text identifies HipSTR as an STR-calling tool, supporting the citation’s identification of it. Online Methods (The HipSTR algorithm; Experiments) describe stutter modeling and a spanning-read support ratio used to filter de novo mutation calls, but do not establish that HipSTR includes peak-height ratios, heterozygosity thresholds, or ladder alignment checks. No page numbers are available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationCapillary electrophoresis with six-dye detection improved resolution of overlapping size ranges and decreased spectral bleed-through.
“The second advancement was the introduction of capillary electrophoresis with six-dye detection, which improved the resolution of overlapping size ranges and decreased spectral bleed-through [33].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [33] Durney, 2015, Capillary electrophoresis applied to DNA: Determining and harnessing sequence and structure to advance bioanalyses (2009–2014), Anal. Bioanal. Chem. source
The DNA sizing section (page unavailable) says that fluorescent labels distinguish STR fragments whose lengths overlap, resolving them spectrally. It describes four dyes, not six, and does not report decreased spectral bleed-through. Searches for six-dye detection and bleed-through found no supporting passage. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2024, non-verifiable cell lines could lead to the creation of new cell lines without published description of how cell lines were established, STR profile, or making cell lines available through external suppliers, a phenomenon known as "miscelling".
“An update in 2024 discussed how non-verifiable cell lines could lead to the creation of new cell lines without published description of how cell lines were established, STR profile, or making cell lines available through external suppliers, a phenomenon known as “miscelling” [20].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [20] Oste, 2024, Misspellings or “miscellings”-Non-verifiable and unknown cell lines in cancer research publications, Int. J. Cancer source
May combine two claims.
InterpretationcitationWhen scientists use misidentified cell lines, unreliable and irreproducible results will be established, leading to increased costs and misguided future studies.
“It is obvious that when scientists use misidentified cell lines, unreliable and irreproducible results will be established, leading to increased costs and misguided future studies [28].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [28] Weiskirchen, S., Schröder, S.K., Buhl, E.M., and Weiskirchen, R. (2023). A beginner’s guide to cell culture: Practical advice for preventing needless problems. Cells, 12. source
The Introduction and §5.5 (page not available in our copy) link cell-line misidentification to false, irreproducible results and misleading papers. The paper does not state that this increases costs or specifically leads to misguided future studies. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMurine hybridoma libraries provide monoclonal antibodies.
“Murine hybridoma libraries provide monoclonal antibodies, insect cells power baculovirus expression systems, and plant protoplasts allow for CRISPR screens in agriculture [71,72,73].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [71] Listek, 2020, A novel selection strategy for antibody producing hybridoma cells based on a new transgenic fusion cell line, Sci. Rep. source
- cites [72] Yuan, J., Chen, J., Zhao, Q., Xu, J., Li, X., Zhang, Y., Li, H., Chen, X., Zhao, L., and Zhang, X. (2025). Advancements in the application and research of baculovirus vector vaccines for respiratory diseases in human. Front. Microbiol., 16. source
The Introduction section on baculovirus expression vector systems describes insect cells producing recombinant proteins, which supports a different clause of the citing sentence. The MERS preclinical investigations section discusses antibodies in vaccinated mice, but neither it nor passages retrieved for “murine hybridoma libraries” and “hybridoma monoclonal antibody production” addresses the quoted claim. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [73] Creeth, R., Thompson, A., and Kevei, Z. (2025). DNA-free CRISPR genome editing in raspberry (Rubus idaeus) protoplast through RNP-mediated transfection. Front. Genome Ed., 7. source
May combine two claims.
PremisecitationA meaningful STR test including the electrophoretic profile typically costs around $100-200, while consumable costs are about $40 for baseline STR genotyping.
“currently, companies provide a meaningful STR test, including the electrophoretic profile, typically costing around $100–200, while the consumable costs are about $40 for base line STR genotyping [15,138,139].”
Quote in the paperNot a substantial claim1 of 3 sources checked- cites [15] Freedman, L.P., Cockburn, I.M., and Simcoe, T.S. (2015). The economics of reproducibility in preclinical research. PLoS Biol., 13, Erratum in: PLoS Biol. 2018, 16, e1002626. source
- cites [138] Navarro-Bailón, A., Carbonell, D., Escudero, A., Chicano, M., Muñiz, P., Suárez-González, J., Bailén, R., Oarbeascoa, G., Kwon, M., and Díez-Martin, J.L. (2020). Short tandem repeats (STRs) as biomarkers for the quantitative follow-up of chimerism after stem cell transplantation: Methodological considerations and clinical application. Genes, 11. source
Section 4.1 reports that STR-PCR requires capillary electrophoresis and costs about €35 per post-transplant follow-up sample. It does not report a $100–200 commercial test price or $40 in consumables for baseline genotyping; instead, it estimates pretransplant screening at about €70 per donor–recipient pair. No page number is available in our copy. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [139] Labcorp (2025, November 23). Available online: https://celllineauthentication.labcorp.com/pricing.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThere was an infamous patent dispute over the BRCA1 and BRCA2 genes.
“A good example is the infamous patent dispute over the BRCA1 and BRCA2 genes [147,148].”
Quote in the paperNot a substantial claim1 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLow-pass whole-genome sequencing (lpWGS) costs less than €150 per sample.
“Low-pass whole-genome sequencing (lpWGS) has recently reached the significant milestone of costing less than €150 per sample [51].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [51] Mazzonetto, 2024, Low-pass whole genome sequencing is a reliable and cost-effective approach for copy number variant analysis in the clinical setting, Ann. Hum. Genet. source
The Discussion (page unavailable) says LP-WGS costs approximately 50% less than microarray testing and that multiplexing reduces sequencing cost per patient. It does not give a price in euros or establish that the cost is below €150 per sample; its mention of 150 refers to the number of samples a flow cell can run. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMethylation barcodes and epigenetic clocks represent the latest advancements in the field.
“Methylation barcodes and epigenetic clocks represent the latest advancements in the field [58,59,60].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [58] Tian, 2023, Single-cell DNA methylation and 3D genome architecture in the human brain, Science source
The section on single-cell methylation barcodes describes scMCodes developed to identify human brain cell types, supporting the barcode part of the claim. The Discussion mentions predicting epigenetic age, but does not identify epigenetic clocks as an advancement made or assessed by this paper, nor establish that both are the latest advancements. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [59] Shibata, 2025, Human brain ancestral barcodes, Elife source
The Introduction (page unavailable) presents fluctuating CpG methylation as a dynamic barcode for studying human brain development, supporting the methylation-barcode part of the claim. The paper does not describe epigenetic clocks as a latest advancement; a methylation-clock study appears only in its References (page unavailable). (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [60] Fuentealba, 2025, A blood-based epigenetic clock for intrinsic capacity predicts mortality and is associated with clinical, immunological and lifestyle factors, Nat. Aging source
The Main section describes the development of a DNA methylation-based epigenetic clock, and Results > DNAm-based predictor of IC compares it with established clocks (page numbers not supplied). This supports the epigenetic-clock part of the sentence, but the paper does not discuss methylation barcodes or establish that both are the latest advancements in the field. (LLM, conf=0.83)
Experimental — accuracy not yet measured
May combine two claims.
InterpretationcitationA fraction of STRs can act as regulators of genome function by modulating DNA methylation, which may impact molecular mechanisms affecting disease or altering drug-response pathways.
“This suggests that a fraction of STRs can act as regulators of genome function by modulating DNA methylation, which may impact molecular mechanisms affecting disease or altering drug-response pathways [61].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [61] Garg, 2023, Genome-wide evaluation of the effect of short tandem repeat variation on local DNA methylation, Genome Res. source
The Discussion (page not provided) states that a fraction of STRs regulate genome function by modulating DNA methylation in cis and may underlie phenotypic variation and disease. Our copy does not connect this finding to altered drug-response pathways, so that part of the claim is unsupported. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationWiley journals recently introduced guidelines to prevent publication of studies involving misidentified or cross-contaminated cells.
“journals within Wiley’s group have recently introduced guidelines to prevent the publication of studies involving misidentified or cross-contaminated cells [93].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [93] Weiskirchen, 2025, Cell line authentication and validation is a key requirement for Journal of Cell Communication and Signaling publications, J. Cell Commun. Signal. source
The paper’s Abstract describes updated cell-line authentication and contamination-testing requirements at the Journal of Cell Communication and Signaling, intended to reduce problematic studies in the published literature. It does not establish that multiple Wiley journals recently introduced such guidelines; it says JCCS’s requirements align with Wiley publishing ethics guidelines first published in 2006. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationMIACA and MIACARE checklists help standardize field names and establish controlled vocabularies for species, tissue of origin, culture medium, and STR kit version.
“The Minimum Information About a Cellular Assay (MIACA) and the Minimum Information About a Cellular Assay in Regenerative Medicine (MIACARE) checklists help to standardize field names (e.g., “passage_number” vs. “passageNo”) and establish controlled vocabularies for species, tissue of origin, culture medium, and STR kit version [113,114].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [113] Wiemann, S., Mehrle, A., Hahne, F., Hermjakob, H., Apweiler, R., Arlt, D., Bechtel, S., Bielke, W., Birmingham, A., and Smith, Q. (2025, November 23). MIACA—Minimum Information About a Cellular Assay, and the Cellular Assay Object Model. Available online: http://miaca.sourceforge.net.
Not checked in the free run.
- cites [114] Sakurai, 2016, First proposal of minimum information about a cellular assay for regenerative medicine, Stem Cells Transl. Med. source
The Introduction and Materials and Methods (Ontology Assignment; page numbers unavailable) support the general point that these reporting guidelines standardize assay information and that controlled terms were assigned to the regenerative-medicine checklist. But the paper calls that checklist MIACARM, not MIACARE, and does not establish the claimed field-name example or controlled vocabularies for each listed field, including STR kit version. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationdPCR provides exquisite sensitivity for absolute quantification of target nucleic acids.
“It requires low DNA quantities and provides exquisite sensitivity for absolute quantification of target nucleic acids [54,55,56].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [54] Quan, P.L., Sauzade, M., and Brouzes, E. (2018). dPCR: A technology review. Sensors, 18. source
Section 1.2 states that dPCR enables absolute quantification of target nucleic acids. But Section 7 says dPCR has lower sensitivity for absolute quantification than qPCR, so the review does not support the unqualified description of its sensitivity as “exquisite.” (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [55] Trouchet, 2025, Digital PCR: From early developments to its future application in clinics, Lab Chip source
- cites [56] Aujean, 2020, Genomic DNA PCR analysis to assess xenograft development in mouse mammary gland, Biotechniques source
The Abstract says digital droplet PCR requires low DNA quantities and reports its use to detect bovine DNA in xenografts. That supports the low-DNA portion of the citing sentence, but the passages do not establish exquisite sensitivity or absolute quantification of target nucleic acids. (LLM, conf=0.78)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFor mouse, MUGA can be combined with CLASP for cell line authentication and copy number analysis.
“For mouse there is a Mouse Universal Genotyping Array (MUGA) available that can be combined with a computational method called Cell Line Authentication by SNP Profiling (CLASP) for cell line authentication and copy number analysis [66].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [66] Didion, J.P., Buus, R.J., Naghashfar, Z., Threadgill, D.W., Morse, H.C., and de Villena, F.P. (2014). SNP array profiling of mouse cell lines identifies their strains of origin and reveals cross-contamination and widespread aneuploidy. BMC Genomics., 15. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSSR assays are suitable for verifying the purity of cultivars in Arabidopsis and maize.
“Plant researchers use simple sequence repeat (SSR) assays, which are suitable for verifying the purity of cultivars in Arabidopsis and maize [70].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [70] Sureshkumar, 2025, Simple sequence repeats and their expansions: Role in plant development, environmental response and adaptation, New Phytol. source
The “Repeats in plant genomes” section (page unavailable) says plant geneticists use microsatellites as markers for mapping and marker-assisted selection. It does not say that SSR assays verify cultivar purity in Arabidopsis or maize; searches for purity and cultivar identification did not find that application in our copy. (LLM, conf=0.85)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPlant cell suspensions like BY-2 frequently exhibit somaclonal variation, impacting secondary metabolite profiles and reducing productivity.
“In agricultural biotechnology, plant cell suspensions like the tobacco Bright Yellow-2 (BY-2) frequently exhibit somaclonal variation, impacting secondary metabolite profiles and reducing productivity [82].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [82] Häkkinen, S.T., Reuter, L., Nuorti, N., Joensuu, J.J., Rischer, H., and Ritala, A. (2018). Tobacco BY-2 Media component optimization for a cost-efficient recombinant protein production. Front. Plant Sci., 9. source
The Introduction (page unavailable) says plant cell cultures often exhibit somaclonal variation that can lead to loss of productivity or metabolic competence. It does not say that the variation changes secondary metabolite profiles, and the Discussion (page unavailable) reports stable recombinant-protein expression in the BY-2 cells studied rather than a productivity decline in those cells. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationXenome can perform fast, accurate and specific classification of sequence reads.
“like Xenome, which can perform fast, accurate and specific classification of sequence reads [80]”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [80] Conway, 2012, Xenome—A tool for classifying reads from xenograft samples, Bioinformatics source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTools like CONICSmat first infer large-scale copy-number states from the expression matrix and then overlay these states onto the corresponding UMAP/t-SNE plots.
“For example, tools like CONICSmat first infer large-scale copy-number states from the expression matrix and then overlay these states onto the corresponding UMAP/t-SNE plots.”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [52] Cho, 2018, CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones, Bioinformatics source
Section 1 (Introduction) says CONICS identifies large-scale copy-number variants in scRNA-seq, and Section 2.1 identifies CONICSmat as a related package that can be used without DNA-sequencing data. Our copy does not say that CONICSmat overlays inferred states on UMAP or t-SNE plots, so that part of the attributed workflow is unsupported. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [53] Kumar, 2022, Single-cell atlas of lineage states, tumor microenvironment, and subtype-specific expression programs in gastric cancer, Cancer Discov. source
The Methods section (CNV Analysis; page not available in our copy) says the authors used CONICSmat to call CNVs from a gene-expression matrix. The Methods also describes UMAP visualization separately, but does not say CONICSmat overlays the inferred copy-number states on UMAP or t-SNE plots. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationResearch and development costs for new drug developments are in the range of $161 million to $4.54 billion.
“It is estimated that the research and development costs for new drug developments are in the range of $161 million to $4.54 billion [143].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [143] Schlander, 2021, How much does it cost to research and develop a new drug? A systematic review and assessment, Pharmacoeconomics source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSpecies-specific or custom-designed STR and SNP arrays to identify different breeds are becoming more common.
“For non-human models, species-specific or custom-designed STR and SNP arrays to identify different breeds are becoming more common [62,63,64].”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [62] Cui, W., Jin, X., Guo, Y., Chen, C., Zhang, W., Wang, Y., Lan, J., and Zhu, B. (2020). Development and validation of a novel five-dye short tandem repeat panel for forensic identification of 11 species. Front. Genet., 11. source
The Methods section describes a custom-designed, species-specific STR panel, and the Discussion says many panels for animal species identification have been developed. The paper identifies species, not breeds; it does not establish that SNP arrays for breed identification are becoming more common. The Discussion also says that only a few STR-based panels had been used for animal species identification. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [63] Thavornkanlapachai, 2024, Species-specific SNP arrays for non-invasive genetic monitoring of a vulnerable bat, Sci. Rep. source
The Introduction says SNP markers are being used more widely in wildlife studies, and the Results (SNP selection) describe custom SNP panels for identifying individual bats. The paper discusses microsatellite (STR) markers, but does not establish that custom STR arrays are becoming more common or that either type of array is used to identify different breeds. Page numbers are not available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measured - cites [64] Takahashi, 2023, Development and validation of novel SNP markers for the rapid identification of natural hybrids of the 11 closely related pufferfish species (Takifugu spp.) distributed in Japan, Aquac. Rep. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInsect cells power baculovirus expression systems.
“Murine hybridoma libraries provide monoclonal antibodies, insect cells power baculovirus expression systems, and plant protoplasts allow for CRISPR screens in agriculture [71,72,73].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [71] Listek, 2020, A novel selection strategy for antibody producing hybridoma cells based on a new transgenic fusion cell line, Sci. Rep. source
- cites [72] Yuan, J., Chen, J., Zhao, Q., Xu, J., Li, X., Zhang, Y., Li, H., Chen, X., Zhao, L., and Zhang, X. (2025). Advancements in the application and research of baculovirus vector vaccines for respiratory diseases in human. Front. Microbiol., 16. source
- cites [73] Creeth, R., Thompson, A., and Kevei, Z. (2025). DNA-free CRISPR genome editing in raspberry (Rubus idaeus) protoplast through RNP-mediated transfection. Front. Genome Ed., 7. source
The Introduction and Discussion address CRISPR editing in plant protoplasts, not insect-cell baculovirus expression systems. Searches for “insect cells baculovirus expression systems” and “baculovirus insect cell recombinant protein expression” found no passage addressing the attributed claim. (LLM, conf=0.75)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChina's National Medical Products Administration has updated and strengthened its Technical Guidelines for Biological Drug Development, including cell and gene therapy products, to align with Quality of Biotechnological Products standards.
“China’s National Medical Products Administration (NMPA) has updated and strengthened its “Technical Guidelines for Biological Drug Development”, including cell and gene therapy products to align with the Quality of Biotechnological Products standards [97].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [97] Tan, 2025, Current landscape of innovative drug development and regulatory support in China, Signal Transduct. Target. Ther. source
The Introduction and the section on regulatory measures describe NMPA regulatory modernization and adoption of ICH guidelines. The section on innovative-drug classification also reports revised registration classifications for biologics. Our copy does not say that NMPA updated the named “Technical Guidelines for Biological Drug Development,” that those guidelines include cell and gene therapy products, or that they were aligned with “Quality of Biotechnological Products” standards. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPlant protoplasts allow for CRISPR screens in agriculture.
“Murine hybridoma libraries provide monoclonal antibodies, insect cells power baculovirus expression systems, and plant protoplasts allow for CRISPR screens in agriculture [71,72,73].”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [71] Listek, 2020, A novel selection strategy for antibody producing hybridoma cells based on a new transgenic fusion cell line, Sci. Rep. source
The Introduction and Conclusions discuss murine hybridomas and screening for antibody-producing cells, not plant protoplasts. A search of our copy for plant protoplasts, CRISPR screens, and agricultural genome editing found no passage addressing the attributed claim. (LLM, conf=0.77)
Experimental — accuracy not yet measured - cites [72] Yuan, J., Chen, J., Zhao, Q., Xu, J., Li, X., Zhang, Y., Li, H., Chen, X., Zhao, L., and Zhang, X. (2025). Advancements in the application and research of baculovirus vector vaccines for respiratory diseases in human. Front. Microbiol., 16. source
The Introduction section on baculovirus expression vector systems describes protein production using insect cells, supporting a different clause of the citing sentence. Searches for plant protoplasts and agricultural CRISPR screens found no passage in our copy addressing the quoted claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [73] Creeth, R., Thompson, A., and Kevei, Z. (2025). DNA-free CRISPR genome editing in raspberry (Rubus idaeus) protoplast through RNP-mediated transfection. Front. Genome Ed., 7. source
The Discussion reports CRISPR editing of three agriculturally relevant targets in raspberry protoplasts and says large-scale gRNA screening may be unavoidable. It does not report a CRISPR screen conducted in protoplasts, so it supports their potential for screening rather than an established screening application. (LLM, conf=0.79)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2014, the FDA established the 'Emerging Technology Program' to evaluate innovative technologies, such as AI and ML.
“In 2014, the FDA established the ‘Emerging Technology Program’ to evaluate innovative technologies, such as AI and ML [159].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [159] Niazi, S.K. (2025). Regulatory perspectives for AI/ML implementation in pharmaceutical GMP environments. Pharmaceuticals, 18. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationBy using FRET probes, microfluidics or lab-on-a-chip can conduct assays in a short time, sending allele calls to central hubs or cloud-based dashboards.
“By using fluorescence resonance energy transfer (FRET) probes, microfluids or lab-on-a-chip can conduct assays in a short time, sending allele calls to central hubs or cloud-based dashboards [155].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [155] Verma, A.K., Noumani, A., Yadav, A.K., and Solanki, P.R. (2023). FRET based biosensor: Principle applications recent advances and challenges. Diagnostics, 13. source
Section 3.2 describes rapid point-of-need assays using microfluidic FRET biosensors. Section 4.2 says FRET biosensors could transmit data to a central hub or cloud-based platform, but it presents this as an IoT possibility, not as a demonstrated feature of the microfluidic assays. Neither passage says those assays produce or transmit allele calls. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn one report, HRM technology was used to detect cross-adulteration of water buffalo, bovine, goat, sheep, camel, and donkey milks.
“In one report, this technology was used to detect cross-adulteration of water buffalo, bovine, goat, sheep, camel, and donkey milks [158].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [158] Bulut, 2023, High resolution melting is a useful tool to detect animal species sources of various milk types, J. Food Sci. Technol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationRoutine authentication through STR profiling requires the use of plastics, reagents, and energy, resulting in a carbon footprint.
“The process of routine authentication through STR profiling, like any other laboratory test, requires the use of plastics, reagents, and energy, resulting in a carbon footprint [149].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [149] Farley, M., and Nicolet, B.P. (2023). Re-use of laboratory utensils reduces CO2 equivalent footprint and running costs. PLoS ONE, 18. source
The Introduction (page unavailable) says laboratory research uses energy and materials and has a carbon footprint; the Abstract identifies single-use plastics as a major material. The paper assesses consumables used in cell and bacterial culture, not STR profiling, and does not establish the reagent requirements of routine STR authentication. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationInitial trials using adaptive multi-scale autoencoders on single-cell RNA sequencing data have shown that self-supervised clustering methods are highly beneficial for downstream analysis, such as cell trajectory.
“Initial trials using adaptive multi-scale autoencoders on single-cell RNA sequencing data have shown that these self-supervised clustering methods are highly beneficial for downstream analysis, such as cell trajectory [157].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [157] Tan, 2024, scAMAC: Self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder, Brief. Bioinform. source
May combine two claims.
PremisecitationH3Africa has shown that with proper logistics and funding, world-class genomic QC for producing high-quality biological samples is achievable in places like Nigeria and Zimbabwe, democratizing both participation and benefits.
“Initiatives like Human Heredity and Health in Africa (H3Africa) have shown that with proper logistics and funding, world-class genomic QC for producing high-quality biological samples is achievable in places like Nigeria and Zimbabwe, democratizing both participation and benefits [152,153].”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [152] Matimba, 2016, Practical approach to biobanking in Zimbabwe: Establishment of an inclusive stakeholder framework, Biopreserv. Biobank. source
- cites [153] Croxton, 2020, H3Africa partnerships to empower clinical research sites to generate high-quality biological samples, Afr. J. Lab. Med. source
The Methods and Results (Project B, Nigeria) describe standardized DNA quality criteria, training, shipping controls, and improved biospecimen quality at a Nigerian site. The paper does not demonstrate those results in Zimbabwe, which appears only in a reference, or establish that participation and benefits were democratized. It supports high-quality biospecimen production, but not the full geographic and societal claim. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationML strategies are able to combine genomic and transcriptomic profiles to accurately predict tumor type, identify genetic abnormalities, and provide other clinically meaningful information in clinical routine.
“ML strategies are able to combine genomic and transcriptomic profiles to accurately predict tumor type, identify genetic abnormalities, and provide other clinically meaningful information in clinical routine [156].”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [156] Abraham, 2021, Machine learning analysis using 77,044 genomic and transcriptomic profiles to accurately predict tumor type, Transl. Oncol. source
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Findingnone givenFigure 4 displays a Hep 3B culture with an allele table that matches 100% with the published reference profile, meeting the ANSI/ATCC ≥90% criterion.
“Figure 4 displays a Hep 3B culture with an allele table that matches 100% with the published reference profile, meeting the ANSI/ATCC ≥ 90% criterion with certainty.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S4 (based).
Findingown dataOur modeling indicates that even a 5% hold-back on direct costs is sufficient to secure over 90% compliance within one funding cycle.
“Funding agencies, for their part, should continue tying disbursement schedules to demonstrable QC achievements; our modeling indicates that even a 5% hold-back on direct costs is sufficient to secure over 90% compliance within one funding cycle.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningWidespread use of misidentified cell lines not only compromises the credibility of individual studies, but can also result in significant harm, such as erroneous conclusions in clinical applications.
“The widespread use of misidentified cell lines not only compromises the credibility of individual studies, but can also result in significant harm, such as erroneous conclusions in clinical applications.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationA partial match is defined by 60-79% identity and requires further investigation, while anything lower is a mismatch requiring follow-up.
“A “partial match” between two samples is defined by an identity of 60–79% and requires further investigation, while anything lower is considered a “mismatch” that requires follow-up [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
May combine two claims.
PremisecitationThe 2022 updated guidelines added five additional markers (D3S1358, D8S1179, D18S51, D21S11, FGA), increasing POI values to 1.14 × 10−15 and 2.97 × 10−15 for African American and Caucasian populations, respectively.
“The 2022 updated version of these guidelines added five additional markers (D3S1358, D8S1179, D18S51, D21S11, and FGA), increasing the POI values to 1.14 × 10−15 and 2.97 × 10−15, respectively [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
May combine two claims.
InterpretationcitationCell line misidentification now compromises roughly one in five lines and renders thousands of papers potentially unreliable, propagating unreliable data through hundreds of thousands of citations.
“Cell line misidentification, first exposed when HeLa cells were shown to contaminate dozens of “unique” cultures, now compromises roughly one in five lines and renders thousands of papers potentially unreliable, propagating unreliable data through hundreds of thousands of citations.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
InterpretationreasoningThe ANSI/ATCC allele-concordance criteria and the Tanabe similarity coefficient are related but not equivalent and should not be confused.
“These thresholds are related but not equivalent and should not be confused.”
Quote in the paperNot a substantial claim- Rests on an assumption: The Tanabe similarity score is often interpreted using ≥90% similarity for declaring same cell line in high-stringency applications.
Classified as probably not a substantial claim. May combine two claims.
InterpretationreasoningThe history of cell line misidentification teaches an unambiguous lesson: unchecked error perpetuates cost escalation, leading to a decline in public confidence.
“In short, the history of cell line misidentification teaches an unambiguous lesson: unchecked error perpetuates cost escalation, leading to a decline in public confidence.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationAllele dropout can occur when DNA quantity falls below 100 pg or when high salt or detergent levels inhibit Taq polymerase.
“Allele dropout can occur when DNA quantity falls below 100 pg or when high salt or detergent levels inhibit Taq polymerase [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to ANSI/ATCC ASN-0002-2022, a match requires ≥80% allele concordance across shared loci when 13 core STR loci are compared between two samples.
“According to ANSI/ATCC ASN-0002-2022 [32], a “match” requires ≥80% allele concordance across shared loci when 13 core STR loci are compared between two samples.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenFAIR-compliant data archiving and integration of STR workflows into laboratory data management systems will allow laboratories to shift from sporadic testing of cell quality to continuous, artificial intelligence-supported assessments.
“It is further discussed that FAIR-compliant data archiving and integration of STR workflows into laboratory data management systems will allow laboratories to shift from sporadic testing of cell quality to continuous, artificial intelligence-supported assessments.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationANSI/ATCC ASN-0002, the first formal cell-line authentication guideline, appeared in 2010 and was updated in 2022 after a two-year public comment period.
“The first formal guideline, ANSI/ATCC ASN-0002, appeared in 2010 and was updated in 2022 following a two-year public comment period [32].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenISO working groups are currently developing customized "fusion fingerprints" to document the expected heteroploid alleles.
“ISO working groups are currently developing customized “fusion fingerprints” to document the expected heteroploid alleles.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable), S3 (load-bearing), S4 (based).
InterpretationreasoningEach system presents unique authentication challenges that the scientific community is only just starting to comprehensively address.
“Each system presents unique authentication challenges that the scientific community is only just starting to comprehensively address.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisereasoningBecause SNPs are bi-allelic, downstream analysis can utilize simple binary matching algorithms, enabling high-throughput screening in core facilities.
“Because SNPs are bi-allelic, downstream analysis can utilize simple binary matching algorithms, enabling high-throughput screening in core facilities.”
Quote in the paperNot a substantial claim- Rests on an assumption: SNPs are bi-allelic.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSTR profiling is increasingly integrated with barcoding and Laboratory Information Management Systems (LIMS).
“Finally, STR profiling is increasingly integrated with barcoding and Laboratory Information Management Systems (LIMS) [48].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [48] Parker, 2012, Laboratory information management systems for DNA barcoding, Methods Mol. Biol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSubstrains like C57BL/6J and C57BL/6N diverged in 1951.
“Substrains like C57BL/6J and C57BL/6N, which diverged in 1951, and many other mouse strains commonly used in transgenic and knockout production have differences in metabolism, vision, immunopathology, and behavior [74].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] Bothe, 2004, Genetic and behavioral differences among five inbred mouse strains commonly used in the production of transgenic and knockout mice, Genes Brain Behav. source
May combine two claims.
PremisecitationSpecies identification of cell lines and detection of cross-contamination can be done by targeting mitochondrial genomes.
“More general species identification of cell lines and detection of cross-contamination can also be done by targeting the mitochondrial genomes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationA multiplex microsatellite marker panel containing 87 microsatellite markers can be used to authenticate rat strains with only 8 reactions.
“Similarly, a multiplex microsatellite marker panel containing 87 microsatellite markers can be used to authenticate rat strains with only 8 reactions [68].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] Bryda, 2008, Multiplex microsatellite marker panels for genetic monitoring of common rat strains, J. Am. Assoc. Lab. Anim. Sci.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationGDPR classifies genetic data as a "special category", requiring explicit informed consent, data minimization, and the right to be forgotten.
“GDPR classifies genetic data as a “special category”, requiring explicit informed consent, data minimization, and the right to be forgotten [109].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [109] (2025, November 23). EU Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the Protection of Individuals with Regard to the Processing of Personal Data and on the Free Movement of Such Data. Available online: https://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=CELEX:31995L0046:en:HTML.
Not checked in the free run.
May combine two claims.
Premisenone givendPCR outperforms electropherogram-based methods, which struggle to detect minor-allele contributions below 10%.
“This outperforms electropherogram-based methods, which struggle to detect minor-allele contributions below 10%.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationnone givenIn pluripotent stem cell lines that undergo extensive CRISPR editing resulting in large chromosomal inversions, STR loci may still match the parental genotype while functional attributes and experimental validity could be compromised.
“For example, consider a pluripotent stem cell line that undergoes extensive CRISPR editing, resulting in large chromosomal inversions. While STR loci may still match the parental genotype, the functional attributes, and therefore the experimental validity, could be compromised.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe 2022 revision of ANSI/ATCC ASN-0002 clarified match thresholds, added mycoplasma screening requirements, and mandated retention of raw electropherograms for at least five years.
“The revision clarified match thresholds, added requirements for mycoplasma screening, and mandated retention of raw electropherograms for a minimum of five years.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] (2022). Human Cell Line Authentication: Standardization of Short Tandem Repeat (STR) Profiling, ASN-0002-2021 (Standard No. ASN-0002-2021).
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAACR journals have automated authentication: authors upload a PDF certificate during online submission, which is verified by an internal tool to confirm date, locus count, and match status.
“Journals from the American Association for Cancer Research (AACR) have automated the process: authors upload a PDF certificate during online submission, which is then verified by an internal tool to confirm the date, locus count, and match status [90].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [90] AACR Journals (2025, November 23). Available online: https://aacrjournals.org/pages/improv-reprod.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningSTR profiling has become the common language connecting local laboratory work to global repositories like ATCC, DSMZ, and Cellosaurus because the assay is affordable, rapid, and does not require specialized bioinformatics.
“Since the assay is affordable, rapid, and does not require specialized bioinformatics for interpretation, STR profiling has become the common language connecting local laboratory work to global repositories like ATCC, DSMZ, and Cellosaurus.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationFDA CMC information for human gene therapy INDs recommends identifying cells through tests that distinguish them from other cell lines used in the facility, and for purchased or received cell lines recommends MCB testing to confirm purity by genetic analysis such as STR or other profiling.
““You should identify your cells through tests that distinguish them from other cell lines used in your facility. For cell lines that you have purchased from a type collection, vendor, or received from another investigator, we recommend master cell bank (MCB) testing to confirm the purity of the cells by genetic analysis (i.e., short tandem repeat analysis or other profiling analysis)” [94].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [94] FDA Document (2025, November 23). Guidance for Industry. Chemistry, Manufacturing, and Control (CMC) Information for Human Gene Therapy Investigational New Drug Applications (INDs), Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/chemistry-manufacturing-and-control-cmc-information-human-gene-therapy-investigational-new-drug.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Interpretationnone givenSTR profiling remains the undisputed standard in human cell authentication.
“While STR profiling remains the undisputed standard in human cell authentication, no single method can address every borderline case.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningAutomation enhances reproducibility because when every step is scriptable, deviations can be traced and root-cause analysis becomes more effective.
“Finally, automation enhances reproducibility. When every step is scriptable, deviations can be traced and root-cause analysis becomes more effective.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationThe Nature Publishing Group strongly encourages authentication and reserves the right to delay acceptance until certificates are submitted.
“The Nature Publishing Group “strongly encourages” authentication and reserves the right to delay acceptance until certificates are submitted [89].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [89] Nature Publishing Group (2025, November 23). Reporting Standards and Availability of Data, Materials, Code and Protocols. Available online: https://www.nature.com/natmachintell/editorial-policies/reporting-standards.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe Cellosaurus database, with systematically curated information and more than 9000 deposited STR profiles, currently represents the most reliable and comprehensive resource for accurate cell line identification.
“the Cellosaurus database, with its systematically curated information and more than 9000 deposited STR profiles, currently represents the most reliable and comprehensive resource for accurate cell line identification.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCommercial SNP kits like Fluidigm's 96.96 Dynamic Array interrogate a few hundred ancestry-informative markers, providing information comparable to a 24-locus STR while reducing cost per data point.
“Commercial kits like Fluidigm’s 96.96 Dynamic Array interrogate a few hundred ancestry-informative markers, providing a level of information comparable to a 24-locus STR while reducing the cost per data point [50].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [50] Seeb, 2009, SNP genotyping by the 5’-nuclease reaction: Advances in high-throughput genotyping with nonmodel organisms, Methods Mol. Biol. source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationCellChain stores a hash of each STR profile on a public ledger, creating an immutable timestamp that proves the profile existed in a given state on a given date.
“Projects like CellChain store a hash of each STR profile on a public ledger, creating an immutable timestamp that proves the profile existed in a given state on a given date [122].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [122] CellChain (2025, November 23). Order CAR-T Cell Therapy Now with CellChain™. Available online: https://nl.cellcompass.com/providers/order#additional-information.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFifteen years ago, several PCR-amplified sequences from selected loci were defined, capable of distinguishing among 40 uncharacterized nucleopolyhedrovirus isolates from larvae of the moth Spodoptera frugiperda.
“Fifteen years ago, several PCR-amplified sequences from selected loci were defined, capable of distinguishing among 40 uncharacterized nucleopolyhedrovirus isolates from larvae of the moth Spodoptera frugiperda (commonly known as the fall armyworm) [77].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [77] Rowley, 2010, Genetic and biological variation among nucleopolyhedrovirus isolates from the fall armyworm, Spodoptera frugiperda (Lepidoptera: Noctuidae), Virus Genes source
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIntroducing such test systems must be critically validated under CLIA or ISO 17025 guidelines before becoming part of forensic assays.
“Moreover, introducing such test systems must be critically validated under these guidelines before becoming part of forensic assays [46].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Buchard, 2016, ISO 17025 validation of a next-generation sequencing assay for relationship testing, Electrophoresis source
May combine two claims.
Premisenone givenCo-culturing human tumor organoids with mouse stromal cells improves physiological relevance but complicates downstream omics analysis.
“Co-culturing human tumor organoids with mouse stromal cells improve physiological relevance but complicates downstream omics analysis.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationLaboratories seeking accreditation under CLIA or ISO 17025 must conduct positive and negative controls with every batch, document lot numbers, and participate in external proficiency testing.
“Laboratories seeking accreditation under CLIA or ISO 17025 [46] must conduct positive and negative controls with every batch, document lot numbers, and participate in external proficiency testing.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [46] Buchard, 2016, ISO 17025 validation of a next-generation sequencing assay for relationship testing, Electrophoresis source
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe 3200% 5-year ROI reported in Table 3 should be regarded as an illustrative scenario rather than a universal benchmark.
“The 3200% 5-year ROI reported in Table 3 should therefore be regarded as an illustrative scenario rather than a universal benchmark.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationFDA mandates explicit documentation of species composition in Investigational New Drug (IND) applications involving xenografts.
“Regulatory agencies such as the U.S. Food and Drug Administration (FDA) mandate explicit documentation of species composition in Investigational New Drug (IND) applications involving xenografts [81].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [81] U.S. Food & Drug Adminstration (2025, November 23). Guidance Document. Source Animal, Product, Preclinical, and Clinical Issues Concerning the Use of Xenotransplantation Products in Humans. Guidance for Industry, Available online: https://www.fda.gov/regulatory-information/search-fda-guidance-documents/source-animal-product-preclinical-and-clinical-issues-concerning-use-xenotransplantation-products.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenA significant portion of basic and translational research relies on organisms other than humans.
“Human studies may dominate biomedical headlines, but a significant portion of basic and translational research relies on other organisms.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenAt a mid-sized research university with around 400 active biomedical projects and centrally funded authentication, annual authentication costs could realistically reach about €1 million (€2500 per project).
“Estimating that a mid-sized research university manages around 400 active biomedical projects, and the institution centrally funds authentication, annual costs could realistically reach about €1 million (€2500 per project).”
Quote in the paperNot a substantial claim- The authors state this as an assumption: A mid-sized research university manages around 400 active biomedical projects.
- The authors state this as an assumption: The institution centrally funds authentication.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to U.S. patent law (35 U.S.C §101), "products of nature" cannot be patented.
“According to U.S. patent law (35 U.S.C §101), “products of nature” cannot be patented [146].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [146] (2025, November 23). 35 U.S.C. 101: Inventions Patentable. Available online: https://www.bitlaw.com/source/35usc/101.html.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Premisenone givenInsect cell lines such as Sf9, High-FiveTM, and Drosophila S2 allow for high-yield production of recombinant proteins.
“Insect cell lines, such as Sf9, High-Five™, and Drosophila S2 allow for high-yield production of recombinant proteins, but they do not have the same extensive reference databases as mammalian systems.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningApplying human-centric standards to other organisms can result in false security and unnecessary expenses.
“Applying human-centric standards to other organisms can result in false security and unnecessary expenses.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S4 (based).
Premisenone givenPolicy evaluations demonstrate a growing global consensus, from ANSI/ATCC to FDA and EMA, that authentication has transitioned from being a best-practice to a mandatory requirement.
“Policy evaluations demonstrate a growing global consensus, from ANSI/ATCC to FDA and EMA, that authentication has transitioned from being a best-practice to a mandatory requirement.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
InterpretationreasoningBlockchain timestamping offers a tamper-proof record that can support inventorship timelines in court.
“As discussed, these examples show that blockchain timestamping offers a tamper-proof record that can support inventorship timelines in court.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenLife-cycle analyses demonstrate that correcting just one misidentified, high-throughput screen can offset the CO2 emissions of numerous routine STR runs.
“Environmentally, life-cycle analyses demonstrate that correcting just one misidentified, high-throughput screen can offset the CO2 emissions of numerous routine STR runs.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningDecades of use in forensics, clinical diagnostics and cell line repositories have validated STR profiling's reliability, reproducibility and ability to detect even low-level cross-contamination, making it a uniquely practical and universally accepted first-line test for cell authentication.
“Decades of use in forensics, clinical diagnostics and cell line repositories have validated its reliability, reproducibility and ability to detect even low-level cross-contamination, making it a uniquely practical and universally accepted first-line test for cell authentication.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn 2023, the European Medicines Agency (EMA) shared their perspective on the use of AI and ML in aiding the development, assessment, and monitoring of medicinal products in their "Reflection paper on the use of AI in the medicinal product lifecycle".
“Similarly, in 2023 the European Medicines Agency (EMA) shared their perspective on the use of AI and ML in aiding the development, assessment, and monitoring of medicinal products in their “Reflection paper on the use of AI in the medicinal product lifecycle” [160].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [160] EMA (European Medicines Agency) (2025, August 09). Reflection Paper on the Use of Artificial Intelligence (AI) in the Medicinal Product Lifecycle. Available online: https://www.ema.europa.eu/en/documents/scientific-guideline/draft-reflection-paper-use-artificial-intelligence-ai-medicinal-product-lifecycle_en.pdf.
Not checked in the free run.
May combine two claims.
InterpretationcitationAuthentication procedures that help prevent failed animal studies indirectly reduce carbon emissions in vivariums and align with the 3Rs.
“Additionally, authentication procedures that help prevent failed animal studies indirectly reduce carbon emissions in vivariums and align with the 3Rs (Replacement, Reduction, Refinement) in animal ethics, as proposed by William M. S. Russell and Rex L. Burch in 1959 [151].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [151] Russell, W.M.S., and Burch, R.L. (1959). The Principles of Humane Experimental Technique, Universities Federation for Animal Welfare.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningArtificially engineered cell lines derived from BRCA1 mutations can in principle be subject to patent protection.
“However, artificially engineered cell lines derived from BRCA1 mutations can in principle be subject to patent protection.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningSTR profiling is still considered the gold standard because its highly polymorphic loci provide unmatched discriminatory power, its protocols and allele-calling rules are globally standardized and backed by extensive reference databases, the technique is rapid, inexpensive and requires only minimal DNA.
“However, STR profiling is still considered the gold standard because its highly polymorphic loci provide unmatched discriminatory power, its protocols and allele-calling rules are globally standardized and backed by extensive reference databases, the technique is rapid, inexpensive and requires only minimal DNA.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenEconomic analyses show that every €1 invested in authentication leads to approximately €6 in savings from preventing downstream costs.
“Economic analyses show that every €1 invested in authentication leads to approximately €6 in savings from preventing downstream costs.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Cell-line problems constitute a major share of irreproducible research.
“The economic impact of irreproducible research, of which cell-line problems constitute a major share, has been estimated at $28 billion per year in the United States alone [15].”
The paper relies on this without support.
Modern 24-plex STR kits verify a culture in half a day for less than €40 and lower the probability of mistaken identity to less than 10–15.
“Modern 24-plex short tandem repeat (STR) kits, analyzed by six-dye capillary electrophoresis and benchmarked against public databases, verify a culture in half a day for less than €40, lowering the probability of mistaken identity to less than 10–15.”
The paper relies on this without support.
The average citation rate of roughly 15 citations per irreproducible paper applies to studies using L-02.
“Applying this average to L-02 suggests on the order of 2195 × 15 ≈ 32,925 downstream citations to work relying on this misidentified line (Figure 2A).”
The paper relies on this without support.
Cell misidentification is broadly relevant.
“Given the broad relevance of cell misidentification, this article was designed as a narrative review informed by a structured, but non-systematic, literature search rather than a formally registered systematic review.”
The paper relies on this without support.
Modern 24-multiplex assay kits analyze 21 autosomal loci and three sex-determining markers, increasing discriminative power by several orders of magnitude.
“Modern 24-multiplex assay kits, such as ThermoFisher’s GlobalFiler™ (Waltham, MA, USA), now analyze 21 autosomal loci and three sex-determining markers (Amelogenin, DYS391, Y-Indel), significantly increasing the discriminative power of the marker set by several orders of magnitude.”
The paper relies on this without support.
Updated STR kits include internal QC fragments that can help identify partial inhibition or instrument malfunction.
“These updated kits also include internal QC fragments, which are synthetic sequences of known length and fluorophore. These fragments can help identify issues such as partial inhibition or instrument malfunction.”
The paper relies on this without support.
Tumor lines that are highly aneuploid may exhibit allele imbalance or unique peak patterns that challenge automated calling algorithms.
“Tumor lines that are highly aneuploid may exhibit allele imbalance or unique peak patterns that present challenges for automated calling algorithms.”
The paper relies on this without support.
Stutter peaks can obscure minor contributors in mixed cultures.
“Moreover, stutter peaks, PCR artifacts that are one repeat unit shorter than the true allele, can obscure minor contributors in scenarios involving mixed-cultures.”
The paper relies on this without support.
The Tanabe similarity score is often interpreted using ≥90% similarity for declaring same cell line in high-stringency applications.
“It is often interpreted using more conservative cut-offs (e.g., ≥90% similarity) for declaring “same cell line” in high-stringency applications.”
The paper relies on this without support.
SNPs are bi-allelic.
“Because SNPs are bi-allelic, downstream analysis can utilize simple binary matching algorithms, enabling high-throughput screening in core facilities.”
The authors state this as an assumption.
Administrators and policymakers ultimately base funding decisions on financial considerations rather than ethical arguments.
“Arguments for routine cell line authentication often rely on ethos (i.e., doing the right thing), but administrators and policymakers ultimately base funding decisions on logos (i.e., the financial aspect).”
The authors state this as an assumption.
A mid-sized research university manages around 400 active biomedical projects.
“Estimating that a mid-sized research university manages around 400 active biomedical projects, and the institution centrally funds authentication, annual costs could realistically reach about €1 million (€2500 per project).”
The authors state this as an assumption.
The institution centrally funds authentication.
“Estimating that a mid-sized research university manages around 400 active biomedical projects, and the institution centrally funds authentication, annual costs could realistically reach about €1 million (€2500 per project).”
The paper relies on this without support.
Irreproducible preclinical studies lead to inefficiencies in drug development pipelines.
“Irreproducible preclinical studies are leading to inefficiencies in drug development pipelines.”
The paper relies on this without support.
Having authenticity certificates speeds up due diligence, shortens negotiation periods, and speeds up milestone payments.
“Having authenticity certificates speeds up due diligence, shortens negotiation periods, and speeds up milestone payments.”
The paper relies on this without support.
High-end STR equipment may be unaffordable for low-resource settings, exacerbating global disparities in research quality.
“High-end STR equipment may be unaffordable for low-resource settings, exacerbating global disparities in research quality.”
The paper relies on this without support.
A re-identified STR profile could be linked back to an individual donor, exposing sensitive health information.
“A re-identified STR profile could, in theory, be linked back to an individual donor, exposing sensitive health information.”
The paper relies on this without support.
There exists no universally accepted life-cycle assessment (LCA) for STR profiling.
“Currently, there exists no universally accepted life-cycle assessment (LCA) for STR profiling.”
The paper relies on this without support.
The EU’s Horizon Europe program includes a 5-point scoring system for proposals in which robust QC plans will certainly be taken into account.
“Similarly, the EU’s Horizon Europe program includes a 5-point scoring system for proposals in which robust QC plans will certainly be taken into account.”
The paper relies on this without support.
Companies entering the field of cell-based therapeutics often engage in co-development agreements with pharmaceutical giants.
“Companies entering the field of cell-based therapeutics often engage in co-development agreements with pharmaceutical giants.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
ANSI/ATCC match threshold is given as both 80% and 90%
MinorThe paper explicitly distinguishes the ANSI/ATCC ≥80% concordance rule from a stricter ≥90% Tanabe criterion. It later calls ≥90% an ANSI/ATCC criterion.
“Figure 4 displays a Hep 3B culture with an allele table that matches 100% with the published reference profile, meeting the ANSI/ATCC ≥ 90% criterion with certainty.”
“In this review, references to the ANSI/ATCC ≥80% concordance rule adhere to the formal standard. Any use of ≥90% Tanabe similarity reflects a stricter, tool-specific criterion. These thresholds are related but not equivalent and should not be confused.”
A decrease in probability of identity is described as an increase
MinorThe stated probability-of-identity values fall from 4.09 × 10−9 and 1.02 × 10−8 to 1.14 × 10−15 and 2.97 × 10−15, respectively. The text instead says the added markers increased those values.
“The 2022 updated version of these guidelines added five additional markers (D3S1358, D8S1179, D18S51, D21S11, and FGA), increasing the POI values to 1.14 × 10−15 and 2.97 × 10−15, respectively [32].”
“a set of eight autosomal STR markers (CSF1PO, D5S818, D7S820, D13S317, D16S539, TH01, TPOX, and vWA) reduce the probability of identity (POI) for the African American and Caucasian populations to 4.09 × 10−9 and 1.02 × 10−8, respectively [33].”
Cites
The economics of reproducibility in preclinical research
Freedman, L. P., Cockburn, I. M., & Simcoe, T. S. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002165 · Cited by 1,055 · see citing works
The Cellosaurus, a Cell-Line Knowledge Resource
Bairoch, A. (2018) · Journal of Biomolecular Techniques JBT · doi:10.7171/jbt.18-2902-002 · Cited by 807 · see citing works
Quan, P.-L., Sauzade, M., & Brouzes, E. (2018) · Sensors · doi:10.3390/s18041271 · Cited by 664 · see citing works
Kumar, V., Ramnarayanan, K., Sundar, R., Padmanabhan, N., Srivastava, S., Koiwa, M., Yasuda, T., Koh, V., Huang, K. K., Tay, S. T., et al. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-21-0683 · Cited by 573 · see citing works
Schweppe, R. E., Klopper, J. P., Korch, C., Pugazhenthi, U., Benezra, M., Knauf, J. A., Fagin, J. A., Marlow, L. A., Copland, J. A., Smallridge, R. C., et al. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2008-1102 · Cited by 563 · see citing works
Guidelines for the use of cell lines in biomedical research
Geraghty, R. J., Capes‐Davis, A., Davis, J. M., Downward, J., Freshney, R. I., Knežević, I., Lovell-Badge, R. H., Masters, J. R., Meredith, J., Stacey, G. N., et al. (2014) · British Journal of Cancer · doi:10.1038/bjc.2014.166 · Cited by 526 · see citing works
Check your cultures! A list of cross‐contaminated or misidentified cell lines
Capes‐Davis, A., Theodosopoulos, G., Atkin, I., Drexler, H. G., Kohara, A., MacLeod, R. A. F., Masters, J. R., Nakamura, Y., Reid, Y. A., Reddel, R. R., et al. (2010) · International Journal of Cancer · doi:10.1002/ijc.25242 · Cited by 520 · cited 2× · see citing works
“All these methods have strengths and weaknesses (Table 6). https://doi.org/10.3390/medsci14010025 updated several times per year; cross-linked to Cellosaurus entries [24].”
InfluentialShort tandem repeat profiling provides an international reference standard for human cell lines
Masters, J. R., Thomson, J. A., Daly-Burns, B., Reid, Y. A., Dirks, W. G., Packer, P., Toji, L. H., Ohno, T., Tanabe, H., Arlett, C. F., et al. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.121616198 · Cited by 478 · see citing works
The Ontology for Biomedical Investigations
Bandrowski, A. E., Brinkman, R. R., Brochhausen, M., Brush, M., Bug, B., Chibucos, M. C., Clancy, K., Courtot, M., Derom, D., Dumontier, M., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154556 · Cited by 387 · see citing works
How much does it cost to research and develop a new drug? A systematic review and assessment
Schlander (2021) · PharmacoEconomics · doi:10.1007/s40273-021-01065-y · Cited by 360 · see citing works
STRBase: A short tandem repeat DNA database for the human identity testing community
Ruitberg, C. M. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.320 · Cited by 354 · see citing works
BioProject and BioSample databases at NCBI: facilitating capture and organization of metadata
Barrett, T., Clark, K., Gevorgyan, R., Gorelenkov, V., Gribov, E., Karsch‐Mizrachi, I., Kimelman, M., Pruitt, K. D., Resenchuk, S. M., Tatusova, T. A., et al. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr1163 · Cited by 347 · see citing works
Cross-contamination of cells in culture
Nelson-Rees, W. A., Daniels, D. W., & Flandermeyer, R. R. (1981) · Science · doi:10.1126/science.6451928 · Cited by 329 · see citing works
Genome-wide profiling of heritable and de novo STR variations
Willems, T., Zielinski, D., Yuan, J., Gordon, A., Gymrek, M., & Erlich, Y. (2017) · Nature Methods · doi:10.1038/nmeth.4267 · Cited by 329 · see citing works
Xenome—a tool for classifying reads from xenograft samples
Conway, T., Wazny, J., Bromage, A., Tymms, M., Sooraj, D., Williams, E. D., & Beresford-Smith, B. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts236 · Cited by 276 · see citing works
A resource for cell line authentication, annotation and quality control
Yu, M., Selvaraj, S. K., Liang-Chu, M. M. Y., Aghajani, S., Busse, M., Yuan, J., Lee, G., Peale, F., Klijn, C., Bourgon, R., et al. (2015) · Nature · doi:10.1038/nature14397 · Cited by 243 · cited 1× · see citing works
“The table on the right compares each STR marker result with the reference profile for Hep 3B [100].”
Apparent HeLa Cell Contamination of Human Heteroploid Cell Lines
GARTLER, S. M. (1968) · Nature · doi:10.1038/217750a0 · Cited by 226 · see citing works
Nelson-Rees, W. A., & Flandermeyer, R. R. (1976) · Science · doi:10.1126/science.1246601 · Cited by 224 · see citing works
The Mouse Universal Genotyping Array: From Substrains to Subspecies
Morgan, A. P., Fu, C.-P., Kao, C.-Y., Welsh, C. E., Didion, J. P., Yadgary, L., Hyacinth, L., Ferris, M. T., Bell, T. A., Miller, D. R., et al. (2016) · G3 Genes|Genomes|Genetics · doi:10.1534/g3.115.022087 · Cited by 214 · see citing works
Bodner, M., Bastisch, I., Butler, J. M., Fimmers, R., Gill, P., Gusmão, L., Morling, N., Phillips, C., Prinz, M., Schneider, P. M., et al. (2016) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2016.06.008 · Cited by 206 · see citing works
FRET Based Biosensor: Principle Applications Recent Advances and Challenges
Verma, A. K., Noumani, A., Yadav, A. K., & Solanki, P. R. (2023) · Diagnostics · doi:10.3390/diagnostics13081375 · Cited by 202 · see citing works
The carbon footprint of pathology testing
McAlister, S., Barratt, A. L., Bell, K. J., & McGain, F. (2020) · Medical Journal of Australia · doi:10.5694/mja2.50583 · Cited by 198 · see citing works
Financial costs and personal consequences of research misconduct resulting in retracted publications
Stern, A. M., Casadevall, A., Steen, R. G., & Fang, F. C. (2014) · eLife · doi:10.7554/elife.02956 · Cited by 189 · see citing works
Species identification in cell culture: a two-pronged molecular approach
Cooper, J. K., Sykes, G., King, S., Cottrill, K., Ivanova, N. V., Hanner, R., & Ikonomi, P. (2007) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-007-9060-2 · Cited by 174 · cited 1× · see citing works
“…approach in which they combined a multiplex PCR-based assay to identify the most common cell culture species and a protocol for sequencing of a 648 bp region located in the cytochrome C oxidase I (COI) gene, i.e., the “barcode region”, that accurately determines the species of cell lines [69].”
The ghosts of HeLa: How cell line misidentification contaminates the scientific literature
Horbach, S. P. J. M., & Halffman, W. (2017) · PLOS ONE · doi:10.1371/journal.pone.0186281 · Cited by 167 · see citing works
(1971) · PubMed · Cited by 157 · see citing works
Single-cell DNA methylation and 3D genome architecture in the human brain
Tian, W., Zhou, J., Bartlett, A., Zeng, Q., Liu, H., Castanon, R. G., Kenworthy, M., Altshul, J., Valadon, C., Aldridge, A., et al. (2023) · Science · doi:10.1126/science.adf5357 · Cited by 154 · see citing works
A Beginner’s Guide to Cell Culture: Practical Advice for Preventing Needless Problems
Weiskirchen, S., Schröder, S. K., Buhl, E. M., & Weiskirchen, R. (2023) · Cells · doi:10.3390/cells12050682 · Cited by 148 · see citing works
Self-citationGenetic markers as tracers in cell culture.
Sm, G. (1967) · PubMed · Cited by 141 · see citing works
Bothe, G. W. M., Bolivar, V. J., Vedder, M. J., & Geistfeld, J. G. (2004) · Genes, Brain and Behavior · doi:10.1111/j.1601-183x.2004.00064.x · Cited by 131 · see citing works
CONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones
Müller, S., Cho, A., Liu, S. J., Lim, D. A., & Diaz, A. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty316 · Cited by 117 · see citing works
Ten recommendations for supporting open pathogen genomic analysis in public health
Black, A., MacCannell, D., Sibley, T. R., & Bedford, T. (2020) · Nature Medicine · doi:10.1038/s41591-020-0935-z · Cited by 115 · see citing works
(2001) · PubMed · Cited by 106 · see citing works
Seeb, J. E., Pascal, C. E., Ramakrishnan, R., & Seeb, L. W. (2009) · Methods in Molecular Biology · doi:10.1007/978-1-60327-411-1_18 · Cited by 103 · see citing works
Mitochondrial markers for identification and phylogenetic studies in insects – A Review
Mandal, S. D., Chhakchhuak, L., Gurusubramanian, G., & Kumar, N. S. (2014) · DNA Barcodes · doi:10.2478/dna-2014-0001 · Cited by 101 · see citing works
CLASTR: The Cellosaurus STR similarity search tool ‐ A precious help for cell line authentication
Robin, T., Capes‐Davis, A., & Bairoch, A. (2020) · International Journal of Cancer · doi:10.1002/ijc.32639 · Cited by 97 · cited 2× · see citing works
“The third, and perhaps most significant, advancement was the creation of curated reference databases such as ATCC STR [34], DSMZ’s Cell Line Portal [35], and CLASTR at Cellosaurus [36,37].”
Durney, B. C., Crihfield, C. L., & Holland, L. A. (2015) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-015-8703-5 · Cited by 92 · see citing works
Widely used prostate carcinoma cell lines share common origins
van Bokhoven, A., Varella‐Garcia, M., Korch, C., Hessels, D., & Miller, G. J. (2001) · The Prostate · doi:10.1002/pros.1045 · Cited by 90 · see citing works
The Rigor and Transparency Index Quality Metric for Assessing Biological and Medical Science Methods
Menke, J., Roelandse, M., Ozyurt, B., Martone, M., & Bandrowski, A. (2020) · iScience · doi:10.1016/j.isci.2020.101698 · Cited by 90 · see citing works
Regulatory Perspectives for AI/ML Implementation in Pharmaceutical GMP Environments
Niazi, S. K. (2025) · Pharmaceuticals · doi:10.3390/ph18060901 · Cited by 90 · see citing works
Sources of error in the retracted scientific literature
Casadevall, A., Steen, R. G., & Fang, F. C. (2014) · The FASEB Journal · doi:10.1096/fj.14-256735 · Cited by 89 · see citing works
Jamalinia, M., & Weiskirchen, R. (2025) · Annals of Translational Medicine · doi:10.21037/atm-25-34 · Cited by 88 · see citing works
Self-citationHagedorn, G., Mietchen, D., Morris, R., Agosti, D., Penev, L., Berendsohn, W. G., & Hobern, D. (2011) · ZooKeys · doi:10.3897/zookeys.150.2189 · Cited by 82 · see citing works
What studies of retractions tell us
Marcus, A., & Oransky, I. (2014) · Journal of Microbiology & Biology Education · doi:10.1128/jmbe.v15i2.855 · Cited by 81 · see citing works
Bandrowski, A. E., & Martone, M. E. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.030 · Cited by 75 · see citing works
Fusenig, N. E., Capes-Davis, A., Bianchini, F., Sundell, S., & Lichter, P. (2017) · PLOS Biology · doi:10.1371/journal.pbio.2001438 · Cited by 66 · see citing works
ISO 17025 validation of a next-generation sequencing assay for relationship testing
Buchard, A., Kampmann, M., Poulsen, L., Børsting, C., & Morling, N. (2016) · ELECTROPHORESIS · doi:10.1002/elps.201600269 · Cited by 64 · see citing works
Didion, J. P., Buus, R. J., Naghashfar, Z., Threadgill, D. W., Morse, H. C., & de Villena, F. P.-M. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-847 · Cited by 63 · see citing works
Human Biosample Authentication Using the High-Throughput, Cost-Effective SNPtraceTM System
Liang-Chu, M. M. Y., Yu, M., Haverty, P. M., Koeman, J., Ziegle, J., Lee, M., Bourgon, R., & Neve, R. M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116218 · Cited by 62 · see citing works
STRait Razor v2.0: The improved STR Allele Identification Tool--Razor
Warshauer, D. H., King, J. L., & Budowle, B. (2015) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2014.10.011 · Cited by 60 · see citing works
Hu, X., Yang, T., Li, C., Zhang, L., Li, M., Huang, W., & Zhou, P. (2013) · Transplantation Proceedings · doi:10.1016/j.transproceed.2012.09.121 · Cited by 59 · see citing works
International federation of genomic medicine databases using GA4GH standards
Thorogood, A., Rehm, H. L., Goodhand, P., Page, A. J. H., Joly, Y., Baudis, M., Rambla, J., Navarro, A., Nyrönen, T., Lindén, M., et al. (2021) · Cell Genomics · doi:10.1016/j.xgen.2021.100032 · Cited by 59 · see citing works
Almeida, J. L., Dakic, A., Kindig, K., Kone, M., Letham, D. L. D., Langdon, S., Peat, R., Holding-Pillai, J., Hall, E. M., Ladd, M., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218412 · Cited by 57 · see citing works
Re-use of laboratory utensils reduces CO2 equivalent footprint and running costs
Farley, M., & Nicolet, B. P. (2023) · PLOS ONE · doi:10.1371/journal.pone.0283697 · Cited by 55 · see citing works
Korch, C., Hall, E. M., Dirks, W. G., Ewing, M., Faries, M., Varella‐Garcia, M., Robinson, S., Storts, D., Turner, J. A., Wang, Y., et al. (2018) · International Journal of Cancer · doi:10.1002/ijc.31067 · Cited by 53 · cited 1× · see citing works
“A single misidentified line such as MDA-MB-435 (long thought to be breast cancer but genetically indistinguishable from the melanoma line M14), spawned more than 1200 publications between 1982 and 2016, many of which were used in pre-clinical research [14].”
Fuentealba, M., Rouch, L., Guyonnet, S., Lemaitre, J.-M., de Souto Barreto, P., Vellas, B., Andrieu, S., & Furman, D. (2025) · Nature Aging · doi:10.1038/s43587-025-00883-5 · Cited by 51 · see citing works
Current landscape of innovative drug development and regulatory support in China
Tan, R., Hua, H., Zhou, S., Yang, Z., Yang, C., Huang, G., Zeng, J., & Zhao, J. (2025) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-025-02267-y · Cited by 51 · see citing works
Tobacco BY-2 Media Component Optimization for a Cost-Efficient Recombinant Protein Production
Häkkinen, S. T., Reuter, L., Nuorti, N., Joensuu, J. J., Rischer, H., & Ritala, A. (2018) · Frontiers in Plant Science · doi:10.3389/fpls.2018.00045 · Cited by 50 · see citing works
Radio Frequency Identification (RFID) in health care: where are we? A scoping review
Profetto, L., Gherardelli, M., & Iadanza, E. (2022) · Health and Technology · doi:10.1007/s12553-022-00696-1 · Cited by 50 · see citing works
Concurrent loss of the Y chromosome in cancer and T cells impacts outcome
Chen, X., Shen, Y., Choi, S., Abdel-Hafiz, H. A., Basu, M., Hoelzen, L., Tufano, M., Kailasam Mani, S. K., Ranjpour, M., Zhu, J., et al. (2025) · Nature · doi:10.1038/s41586-025-09071-2 · Cited by 50 · see citing works
Abraham, J., Heimberger, A. B., Marshall, J., Heath, E., Drabick, J., Helmstetter, A., Xiu, J., Magee, D., Stafford, P., Nabhan, C., et al. (2021) · Translational Oncology · doi:10.1016/j.tranon.2021.101016 · Cited by 47 · see citing works
(1999) · Tissue culture research communications : the journal of experimental & applied cell culture research · doi:10.11418/jtca1981.18.4_329 · Cited by 47 · see citing works
Data Integrity: History, Issues, and Remediation of Issues
Rattan, A. K. (2017) · PDA Journal of Pharmaceutical Science and Technology · doi:10.5731/pdajpst.2017.007765 · Cited by 45 · see citing works
FAIR in action - a flexible framework to guide FAIRification
Welter, D., Juty, N., Rocca‐Serra, P., Xu, F., Henderson, D. A., Gu, W., Strubel, J., Giessmann, R. T., Emam, I., Gadiya, Y., et al. (2023) · Scientific Data · doi:10.1038/s41597-023-02167-2 · Cited by 45 · see citing works
Digital PCR: From early developments to its future application in clinics
Trouchet, A., Gines, G., Benhaim, L., & Taly, V. (2025) · Lab on a Chip · doi:10.1039/d5lc00055f · Cited by 43 · see citing works
California takes the lead on data privacy law
Rothstein, M. A., & Tovino, S. A. (2019) · Hastings Center Report · doi:10.1002/hast.1042 · Cited by 37 · see citing works
Navarro-Bailón, A., Carbonell, D., Escudero, A., Chicano, M., Muñiz, P., Suárez-González, J., Bailén, R., Oarbeascoa, G., Kwon, M., Díez-Martín, J. L., et al. (2020) · Genes · doi:10.3390/genes11090993 · Cited by 36 · see citing works
Tai, X. Y., Zhang, H., Niu, Z., Christie, S. D. R., & Xuan, J. (2020) · Energy and AI · doi:10.1016/j.egyai.2020.100036 · Cited by 36 · see citing works
Microfluidic systems for particle capture and release: A review
Gong, L., Cretella, A., & Lin, Y. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115426 · Cited by 36 · see citing works
Responsibility for truth in research
Nelson‐Rees, W. A. (2001) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2001.0873 · Cited by 35 · see citing works
Listek, M., Hönow, A., Gossen, M., & Hanack, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-58571-w · Cited by 34 · see citing works
Stop using the misidentified cell line LO2 as a human hepatocyte
Shao, T., & Chen, Y.-L. (2024) · Journal of Hepatology · doi:10.1016/j.jhep.2023.10.036 · Cited by 34 · see citing works
First proposal of minimum information about a cellular assay for regenerative medicine
Sakurai, K., Kurtz, A., Stacey, G., Sheldon, M., & Fujibuchi, W. (2016) · Stem Cells Translational Medicine · doi:10.5966/sctm.2015-0393 · Cited by 31 · see citing works
The European opposition against the BRCA gene patents
Matthijs, G. (2006) · Familial Cancer · doi:10.1007/s10689-005-2580-6 · Cited by 30 · see citing works
Rowley, D. L., Farrar, R. R., Blackburn, M. B., & Harrison, R. L. (2010) · Virus Genes · doi:10.1007/s11262-010-0462-y · Cited by 29 · see citing works
Genome-wide evaluation of the effect of short tandem repeat variation on local DNA methylation
Martin-Trujillo, A., Garg, P., Patel, N., Jadhav, B., & Sharp, A. J. (2023) · Genome Research · doi:10.1101/gr.277057.122 · Cited by 28 · see citing works
Zhu, Y., Zhang, X., Yan, S., Feng, C., Wang, D., Yang, W., Daud, M. K., Xiang, J., & Mei, L. (2023) · Plasmid · doi:10.1016/j.plasmid.2023.102670 · Cited by 24 · see citing works
Korch, C. T., & Capes-Davis, A. (2021) · SLAS Discovery · doi:10.1177/24725552211051963 · Cited by 23 · see citing works
DSMZCellDive: Diving into high-throughput cell line data
Koblitz, J., Dirks, W. G., Eberth, S., Nagel, S., Steenpaß, L., & Pommerenke, C. (2022) · F1000Research · doi:10.12688/f1000research.111175.1 · Cited by 22 · see citing works
DSMZCellDive: Diving into high-throughput cell line data
Koblitz, J., Dirks, W. G., Eberth, S., Nagel, S., Steenpass, L., & Pommerenke, C. (2022) · F1000Research · doi:10.12688/f1000research.111175.2 · Cited by 22
scAMAC: Self-supervised clustering of scRNA-seq data based on adaptive multi-scale autoencoder
Tan, D., Yang, C., Wang, J., Su, Y., & Zheng, C. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae068 · Cited by 19 · see citing works
Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications
Oste, D. J., Pathmendra, P., Richardson, R. A. K., Johnson, G., Ao, Y., Arya, M. D., Enochs, N. R., Hussein, M., Kang, J., Lee, A., et al. (2024) · International Journal of Cancer · doi:10.1002/ijc.34995 · Cited by 18 · see citing works
Matthijs, G. (2004) · BMJ · doi:10.1136/bmj.329.7479.1358 · Cited by 17 · see citing works
Mazzonetto, P. C., Villela, D., da Costa, S. S., Krepischi, A. C. V., Milanezi, F., Migliavacca, M. P., Pierry, P. M., Bonaldi, A., Almeida, L. G. D., De Souza, C. A., et al. (2024) · Annals of Human Genetics · doi:10.1111/ahg.12532 · Cited by 17 · see citing works
Sureshkumar, S., Chhabra, A., Guo, Y., & Balasubramanian, S. (2025) · New Phytologist · doi:10.1111/nph.70173 · Cited by 16 · see citing works
Korch, C. T., & Varella‐Garcia, M. (2018) · Advances in Molecular Pathology · doi:10.1016/j.yamp.2018.07.003 · Cited by 16 · see citing works
Voelker, C. R., Ochoa, A. R., Armstrong-Spenrath, L., Lott, L., McDaniel, J. S., Blackburn, A. N., Cornell, L. E., Mahoney, R. E., & Asin, S. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.105046 · Cited by 15 · see citing works
Cui, W., Jin, X., Guo, Y., Chen, C., Zhang, W., Wang, Y., Lan, J., & Zhu, B. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.01005 · Cited by 14 · see citing works
Unraveling the future: hot topics shaping molecular diagnostics today
Weiskirchen, S., & Weiskirchen, R. (2025) · Expert Review of Molecular Diagnostics · doi:10.1080/14737159.2025.2467969 · Cited by 14 · see citing works
Self-citationLaboratory information management systems for DNA barcoding
Parker, M., Stones-Havas, S., Starger, C., & Meyer, C. (2012) · Methods in Molecular Biology · doi:10.1007/978-1-61779-591-6_13 · Cited by 13 · see citing works
Taylor, D. (2021) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2021.102605 · Cited by 13 · see citing works
Letter to the Editor: LO2, a misidentified cell line: Some data should be interpreted with caution
Weiskirchen, R. (2022) · Hepatology · doi:10.1002/hep.32730 · Cited by 13 · see citing works
Self-citationPractical approach to biobanking in Zimbabwe: Establishment of an inclusive stakeholder framework
Matimba, A., Tybring, G., Chitereka, J., Zinyama-Gutsire, R., Dandara, C., Bürén, E., Dhoro, M., & Masimirembwa, C. (2016) · Biopreservation and Biobanking · doi:10.1089/bio.2015.0043 · Cited by 12 · see citing works
Standardization of assay representation in the Ontology for Biomedical Investigations
Vita, R., Zheng, J., Jackson, R., Dooley, D., Overton, J. A., Miller, M. A., Berrios, D. C., Scheuermann, R. H., He, Y. O., McGinty, H. K., et al. (2021) · Database · doi:10.1093/database/baab040 · Cited by 10 · see citing works
Ten simple rules for managing laboratory information
Berezin, C.-T., Aguilera, L. U., Billerbeck, S., Bourne, P. E., Densmore, D. M., Freemont, P. S., Gorochowski, T. E., Hernandez, S. I., Hillson, N. J., King, C. R., et al. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011652 · Cited by 10 · see citing works
Biospecimens, Research Consent, and Distinguishing Cell Line Research
Spector‐Bagdady, K., Lynch, H. F., Brenner, J. C., & Shuman, A. G. (2019) · JAMA Oncology · doi:10.1001/jamaoncol.2018.6988 · Cited by 9 · see citing works
Species-specific SNP arrays for non-invasive genetic monitoring of a vulnerable bat
Thavornkanlapachai, R., Armstrong, K. N., Knuckey, C., Huntley, B., Hanrahan, N., & Ottewell, K. (2024) · Scientific Reports · doi:10.1038/s41598-024-51461-5 · Cited by 9 · see citing works
Kurata, S., Mano, S., Nakahama, N., Hirota, S. K., Suyama, Y., & Itô, M. (2024) · Biodiversity Data Journal · doi:10.3897/bdj.12.e117014 · Cited by 9 · see citing works
Creeth, R., Thompson, A., & Kevei, Z. (2025) · Frontiers in Genome Editing · doi:10.3389/fgeed.2025.1589431 · Cited by 9 · see citing works
H3Africa partnerships to empower clinical research sites to generate high-quality biological samples
Croxton, T., Agala, N., Jonathan, E., Balogun, O., Ozumba, P. J., Onyemata, E., Lawal, S., Mamven, M., Ajayi, S., Melikam, S. E., et al. (2020) · African Journal of Laboratory Medicine · doi:10.4102/ajlm.v9i1.935 · Cited by 8 · see citing works
High resolution melting is a useful tool to detect animal species sources of various milk types
Bulut (2023) · Journal of Food Science and Technology · doi:10.1007/s13197-023-05705-3 · Cited by 8 · see citing works
The history, landscape, and outlook of human cell line authentication and security
Harbut, E., Makris, Y., Pertsemlidis, A., & Bleris, L. (2024) · SLAS Discovery · doi:10.1016/j.slasd.2024.100194 · Cited by 8 · see citing works
Yuan, J., Chen, J., Zhao, Q., Xu, J., Li, X., Zhang, Y., Li, H., Chen, X., Zhao, L., Zhang, X., et al. (2025) · Frontiers in Microbiology · doi:10.3389/fmicb.2025.1558482 · Cited by 8 · see citing works
Identity crisis—Rigor and reproducibility in human cell lines
Eckers, J. C., Swick, A. D., & Kimple, R. J. (2018) · Radiation Research · doi:10.1667/rr15086.1 · Cited by 7 · see citing works
Correction: The Economics of Reproducibility in Preclinical Research
Staff, T. P. B. (2018) · PLOS Biology · doi:10.1371/journal.pbio.1002626 · Cited by 7 · see citing works
Transform DOI system into a science hub
Moustafa, K. (2021) · Accountability in Research · doi:10.1080/08989621.2021.1951711 · Cited by 6 · see citing works
(2019) · doi:10.5772/intechopen.73709 · Cited by 6 · see citing works
Tong, L., Corrigan, A., Kumar, N. R., Hallbrook, K., Orme, J., Wang, Y., & Zhou, H. (2022) · Scientific Reports · doi:10.1038/s41598-022-12099-3 · Cited by 6 · see citing works
Taylor, D., & Humphries, M. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.127536 · Cited by 6 · see citing works
Weiskirchen, R., Almeida, J., & Chaqour, B. (2025) · Journal of Cell Communication and Signaling · doi:10.1002/ccs3.70029 · Cited by 5 · cited 1× · see citing works
“Similarly, journals within Wiley’s group have recently introduced guidelines to prevent the publication of studies involving misidentified or cross-contaminated cells [93].”
Self-citationShen, H.-H., Su, T.-Y., Liu, Y.-J., Chang, H., & Yao, D.-J. (2013) · doi:10.18494/sam.2013.908 · Cited by 5
Zahra, A., Hussain, B., Jamil, A., Ahmed, Z., & Mahboob, S. (2018) · Saudi Journal of Biological Sciences · doi:10.1016/j.sjbs.2018.10.001 · Cited by 4 · see citing works
Takahashi, H., Kakioka, R., & Nagano, A. J. (2023) · Aquaculture Reports · doi:10.1016/j.aqrep.2023.101650 · Cited by 4 · see citing works
Elsayed, M., Bodo, L., Gaoiran, C., Keuhnelian, P., Dosajh, A., Luk, V. N., Schwandt, M., French, J. L., Ghosh, A., Erickson, B., et al. (2024) · Advanced Science · doi:10.1002/advs.202405712 · Cited by 4 · see citing works
McDonald, C., Taylor, D., Masawi, G. M., Khan, A., Leibbrandt, R. E., Linacre, A. M. T., & Brinkworth, R. S. A. (2024) · Genes · doi:10.3390/genes15091196 · Cited by 4 · see citing works
Responsibility for trust in research
(1981) · Nature · doi:10.1038/289211b0 · Cited by 3 · see citing works
Jin, J., Huo, L., Fan, Y., Wang, R., Scott, A. W., Pizzi, M. P., Yao, X., Shao, S., Ma, L., Da Silva, M. S., et al. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1062424 · Cited by 3 · see citing works
Sadam, M., Sidstedt, M., Järving, R., Kampmann, M., Mogensen, H. S., Hanssen, E., Janssen, K., Salvo, N. M., Hedman, J., & Väli, M. (2025) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2025.103285 · Cited by 3 · see citing works
Han, W., Zhang, X., Zhang, Q., & Zhou, Z. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbaf119 · Cited by 3 · see citing works
Genomic DNA PCR analysis to assess xenograft development in mouse mammary gland
Aujean, E., Laubier, J., Brun, N., Finot, L., Chanat, E., Dessauge, F., Hue-Beauvais, C., & Provost, F. L. (2020) · BioTechniques · doi:10.2144/btn-2019-0125 · Cited by 2 · see citing works
Li, Z., Wang, Z., Chen, Z., Voegeli, H., Lichtman, J. H., Smith, P., Liu, J., DeWan, A. T., & Hoh, J. (2023) · BMC Genomics · doi:10.1186/s12864-023-09390-6 · Cited by 2 · see citing works
(Free) Creative Commons content on the internet is not so free after all
Roder-Hießerich, V. (2023) · EMBO Reports · doi:10.15252/embr.202358419 · Cited by 2 · see citing works
A multi-center evaluation of a novel IVF cryostorage device in an active clinical setting
Collins, M. G., Bailey, J., Tremont, J., Laasch, N., McDonough, C., Dufault, A., Martin, J., Li, A., Pitts, S., Kontaxis, E., et al. (2024) · Scientific Reports · doi:10.1038/s41598-024-69877-4 · Cited by 2 · see citing works
Authenticating Hybrid Cell Lines
Nims, R. W., Capes‐Davis, A., Korch, C. T., & Reid, Y. A. (2019) · IntechOpen eBooks · doi:10.5772/intechopen.80669 · Cited by 2 · see citing works
Human brain ancestral barcodes
Shibata, D. (2025) · eLife · doi:10.7554/elife.101163.3 · Cited by 1 · see citing works
Soldati, G., Turrina, S., & Ausania, F. (2025) · International Journal of Legal Medicine · doi:10.1007/s00414-025-03539-6 · Cited by 1 · see citing works
(2008) · PubMed Central
Flagged first, then by citations
Research works printed but not linked: 8
- Gey, 1952, Tissue culture studies of the proliferative capacity of cervical carcinoma and normal epithelium, Cancer Res., 12, 264
- Markossian, S., Grossman, A., Baskir, H., Arkin, M., Auld, D., Austin, C., Baell, J., Brimacombe, K., Chung, T.D.Y., and Coussens, N.P. (2025, December 04). Authentication of Human and Mouse Cell Lines by Short Tandem Repeat (STR) DNA Genotype Analysis, Assay Guidance Manual, Available online: https://www.ncbi.nlm.nih.gov/books/NBK144066/.
- IJC (2025, November 23). Author Guidelines. Available online: https://onlinelibrary.wiley.com/page/journal/10970215/homepage/forauthors.html.
- Nature Publishing Group (2025, November 23). Reporting Standards and Availability of Data, Materials, Code and Protocols. Available online: https://www.nature.com/natmachintell/editorial-policies/reporting-standards.
- Wendling, D. (2025, November 23). Citing Medicine: The NLM Style Guide for Authors, Editors, and Publishers, Available online: https://www.ncbi.nlm.nih.gov/books/NBK7281/box/A56888/.
- Fielding, R.T. (2000). Architectural Styles and the Design of Network-Based Software Architectures. [Ph.D. Thesis, University of California].
- AbdelSalam, 2023, Blockchain Revolutionizing healthcare industry: A systematic review of blockchain technology benefits and threats, Perspect. Health Inf. Manag., 20, 1b
- National Academy of Sciences, Engineering, and Medicine, Policy and Global Affairs, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, Board on Research Data and Information, Board on Life Sciences, Computer Science and Telecommunications Board, Committee on Applied and Theoretical Statistics, Board on Mathematical Sciences and Analytics, and Committee on Forecasting Costs for Preserving and Promoting Access to Biomedical Data (2025, November 23). Life-Cycle Decisions for Biomedical Data: The Challenge of Forecasting Costs, Available online: https://www.ncbi.nlm.nih.gov/books/NBK562694/.
Cited by
Sorted by citations
Korch, C. T. (2026) · Current Protocols · doi:10.1002/cpz1.70387 · Cited by 2 · see citing works
Cell line authentication: a commercial service provider perspective
Ralston, E., & Haskayne, C. (2026) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2026.1843943 · Cited by 1 · see citing works
Korch, C. T., Capes-Davis, D., & Shen, C. (2026) · Current Protocols · doi:10.1002/cpz1.70439
Malakpour‐Permlid, A., Oredsson, S., & Weber, T. (2026) · Frontiers in Toxicology · doi:10.3389/ftox.2026.1892833
- Authors
- Weiskirchen, R.
- Affiliations
- Universitätsklinikum Aachen (DE)
- Corresponding author
- Weiskirchen, Ralf
- ORCID
- Weiskirchen, Ralf
- Venue
- Medical Sciences
- Publisher
- MDPI AG
- Published
- 2026-01-05
- Volume
- 14
- Issue
- 1
- Pages
- 25
- ISSN
- 2076-3271 (ISSN-L)
- PMC
- PMC12821653
- OpenAlex
- W7118950465
- Semantic Scholar
- 1c8d472e9e8cc1b42f41b4d36040ceb9fb0f964c
- Cited by
- 4
- References
- 116
- Citations by year
- 2026: 4
- FWCI
- 7.15
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Medical Sciences (publishedVersion, cc-by)
- PubMed (publishedVersion)
- PubMed Central (publishedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- RWTH Publications (RWTH Aachen) (submittedVersion, other-oa)
- Funders
- German Research Foundation (WE2554/17-1)
- Deutsche Krebshilfe (70115581)
- Interdisciplinary Centre for Clinical Research within the Faculty of Medicine at the RWTH Aachen University (PTD 1-5)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Identification and Quantification in Food
- Health Sciences › Medicine › Physiology › Clinical Laboratory Practices and Quality Control
- Keywords
- cell line misidentification, cell line authentication, short tandem repeat profiling, digital PCR, aneuploidy detection, return on investment, FAIR data, laboratory data management, artificial intelligence
- MeSH terms
- Data Management, Cell Line, Humans, Laboratories, Microsatellite Repeats, Polymorphism, Single Nucleotide
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-30.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-30.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review