Cited by 108Identification and Quantification in FoodForensic and Genetic ResearchGenetic diversity and population structure

The DOI matches its Crossref record; 39 of the 40 references it cites were found in a registry or an index; 13 of the 34 sources its claims cite were checked for support.

Investigation of Cross-Contamination and Misidentification of 278 Widely Used Tumor Cell Lines

Open access

Abstract

In recent years, biological research involving human cell lines has been rapidly developing in China. However, some of the cell lines are not authenticated before use. Therefore, misidentified and/or cross-contaminated cell lines are unfortunately commonplace. In this study, we present a comprehensive investigation of cross-contamination and misidentification for a panel of 278 cell lines from 28 institutes in China by using short tandem repeat profiling method. By comparing the DNA profiles with the cell bank databases of ATCC and DSMZ, a total of 46.0% (128/278) cases with cross-contamination/misidentification were uncovered coming from 22 institutes. Notably, 73.2% (52 out of 71) of the cell lines established by the Chinese researchers were misidentified and accounted for 40.6% of total misidentification (52/128). Further, 67.3% (35/52) of the misidentified cell lines established in laboratories of China were HeLa cells or a possible hybrid of HeLa with another kind of cell line. Furthermore, the bile duct cancer cell line HCCC-9810 and degenerative lung cancer Calu-6 exhibited 88.9% match in the ATCC database (9-loci), indicating that they were from the same origin. However, when we used 21-loci to compare these two cell lines with the same algorithm, the percent match was only 48.2%, indicating that these two cell lines were different. The SNP profiles of HCCC-9810 and Calu-6 also revealed that they were different cell lines. 150 cell lines with unique profiles demonstrated a wide range of in vitro phenotypes. This panel of 150 genomically validated cancer cell lines represents a valuable resource for the cancer research community and will advance our understanding of the disease by providing a standard reference for cell lines that can be used for biological as well as preclinical studies.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

STR profiling of 278 tumor cell lines from 28 institutes in China found that 46.0% (128/278) were cross-contaminated or misidentified, with Chinese-established lines especially affected (73.2%, 52/71). The study also shows that 21-loci STR plus SNP genotyping can distinguish HCCC-9810 and Calu-6, which 9-loci ATCC profiling falsely matched at 88.9%.

Key findings

  • A total of 128/278 (46.0%) cross-contamination/misidentification cases were uncovered from 22 institutes; 20/278 (7.2%) failed PCR and were confirmed non-human, complete analysis succeeded for 258/278 (92.8%), and 150 cell lines were unique.
  • Among cell lines established in China, 52/71 (73.2%) were misidentified, and 35/52 (67.3%) of those were HeLa or a possible HeLa hybrid; in the non-Chinese model, 64/193 (33.2%) were misidentified or cross-contaminated. Overall, HeLa caused 60/128 (46.9%) of cross-contamination, affecting 31 cell lines.
  • HCCC-9810 and Calu-6 showed 88.9% match with the ATCC 9-loci database, but only 48.2% match with 21-loci STR; 24-loci SNP genotyping found 8 mismatches, indicating different origins.
  • Genetic instability was observed: 69 HeLa cell lines showed one or more STR alterations versus the prototype; nine other lines (293, BxPC-3, HT-29, DLD-1, HCT-116, Jurkat, Raji, HeLa, 5637) shared 80–94.12% identity to original lines after multiple passages; 32 cell lines with microsatellite instability were identified.

Methods

  • The authenticity of 278 tumor cell lines deposited in CCTCC by 28 institutes was examined; DNA was extracted and profiled using the Microreader TM21D System, co-amplifying 20 STR loci plus amelogenin, then compared with ATCC and DSMZ databases using the ATCC algorithm (≥80% related, <55% not related, 55–80% requiring further authentication).
  • Sensitivity for intraspecies cross-contamination was tested with AsPC-1:HeLa mixtures at 99:1, 95:5, 90:10, and 80:20 ratios; species identification used 10 species-specific primer sets; HCCC-9810 and Calu-6 were further characterized by 24-loci SNP genotyping.

Limitations

  • Stated: current STR databases such as ATCC, DSMZ, and JCRB provide only 9-loci profiles; 9 markers did not reliably discriminate HCCC-9810 and Calu-6, and authentication improved with 21-loci STR and SNP genotyping; the paper calls for careful and frequent authentication, possibly by more than one method.
  • Evident: the sample consists of cell lines deposited in CCTCC from 28 institutes in China, so the rates may not generalize elsewhere; 20 non-human samples failed PCR and 14 cell lines lacked original background documents, limiting classification; some STR profiles were non-detectable; the text reports both 46.0% and 46.4% for the overall contamination rate.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0170384

Cites

39 of 39 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

13 of 34 cited sources checked · 5 supported · 1 flagged · accuracy not yet measured

Show all 70 claims

  • It may state two separate claims as one. 23
  • Probably not a substantial claim. 7
28 of 28
  • The paper relies on this without support.

    The ATCC and DSMZ cell bank STR databases used for comparison are accurate and authoritative references for cell line identity.

    “By comparing the DNA profiles with the cell bank databases of ATCC and DSMZ”
    “had authenticated prototypes deposited in cell repositories or research institutions worldwide”
  • The paper relies on this without support.

    The original descriptions or documents of cell lines accurately identify their tissue of origin and whether they were established in China.

    “The verified cell lines were derived from 20 different tissues (Table 2).”
  • The paper relies on this without support.

    The 278 cell lines from 28 institutes in China are representative of widely used tumor cell lines in China.

    “a panel of 278 cell lines from 28 institutes in China”
    “278 samples collected from 28 independent sources of China are divided into 2 groups”
  • The paper relies on this without support.

    A unique STR profile is sufficient to consider a cell line genomically validated and suitable as a reference.

    “150 cell lines with unique profiles demonstrated a wide range of in vitro phenotypes.”
    “This panel of 150 genomically validated cancer cell lines represents a valuable resource”
  • The paper relies on this without support.

    The match algorithm and similarity thresholds used to compare STR profiles correctly indicate whether two cell lines are the same or different.

    “when we used 21-loci to compare these two cell lines with the same algorithm, the percent match was only 48.2%, indicating that these two cell lines were different.”
    “The pairwise comparison of STR profiles revealed three matched pairs with similarity scores >0.9.”
  • The paper relies on this without support.

    The misidentification and cross-contamination of cell lines are a widespread problem in research, dating back as far as 45 years ago.

    “The misidentification and cross-contamination of cell lines are deemed to be a widespread problem in research, dating back as far as 45 years ago.”
  • The paper relies on this without support.

    Spontaneous immortalization is rare in human cell lines.

    “Instructively, spontaneous immortalization is rare in human cell lines.”
  • The paper relies on this without support.

    Current STR databases such as ATCC, DSMZ and JCRB only provide 9-loci STR profiles.

    “Unfortunately, currant STR databases such as ATCC, DSMZ and JCRB only provide 9-loci STR profiles.”
  • The paper relies on this without support.

    Tainted cell lines are still on sale for use.

    “Despite sporadic reports about cell line cross-contamination provided by cell repositories in China through systematic quality control check of their own cell lines, the tainted cell lines are still on sale for use.”
  • The paper relies on this without support.

    The grave problem of cell line misidentification in China has been neglected.

    “The grave problem of cell line misidentification in China has been neglected.”
  • The paper relies on this without support.

    Lack of information has prevented researchers from keeping up to date with literature reports of cell line misidentification.

    “Lack of information has prevented researchers from keeping up to date with literature reports of cell line misidentification.”
  • The paper relies on this without support.

    The grave problem continues to fester due to the negligence of cell line users and originators as well as journal editors and funding agencies.

    “Although the international cell repositories have compiled a list of cross-contaminated cell lines to alert their users, the grave problem continues to fester due to the negligence of cell line users and originators as well as journal editors and funding agencies.”
  • The paper relies on this without support.

    STR-based profiling methods have been used for the authentication of cell lines for more than 24 years.

    “STR-based profiling methods have been used for the authentication of cell lines for more than 24 years.”
  • The paper relies on this without support.

    There are variations in the numbers of loci and in the specific loci comprising the published profiling.

    “However, there are variations in the numbers of loci and in the specific loci comprising the published profiling.”
14 of 14

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

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.

  • STR locus name differs between methods and results

    Minor

    The methods identify D16S1043 as one of the amplified loci, whereas the results tables label that locus D6S1043.

  • SNP assayed in Table 6 differs from the selected-SNP list

    Minor

    The methods list rs1800896 among the 24 selected SNPs, but the 24-locus results table reports rs1800869 instead. The text does not establish whether these are meant to be the same assay.

2 of 2

Citations

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Metadata

Authors
Huang, Y., Liu, Y., Zheng, C., & Shen, C.
Affiliations
Wuhan University (CN)
Corresponding author
  • Zheng, Congyi
  • Shen, Chao
Venue
PLOS ONE
Published
2017-01-20
Volume
12
Issue
1
Pages
e0170384
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2574356023
Cited by
105
References
40
Citations by year
2026: 8 · 2025: 9 · 2024: 25 · 2023: 8 · 2022: 11 · 2021: 12 · 2020: 9 · 2019: 7 · 2018: 11 · 2017: 5
FWCI
3.58
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Natural Sciences Foundation of China (31370185)
  • National Basic Research Program of China (NSTI-CR14, NSTI-CR15)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Identification and Quantification in Food
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Forensic and Genetic Research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic diversity and population structure
Keywords
cancer cell lines, cross-contamination, cell line misidentification, short tandem repeat profiling, cell line authentication, HeLa cells
MeSH terms
China, Humans, Neoplasms, Genomic Instability, Cell Line, Tumor

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