The Cellosaurus, a Cell-Line Knowledge Resource
Open accessAbstract
The Cellosaurus is a knowledge resource on cell lines. It aims to describe all cell lines used in biomedical research. Its scope encompasses both vertebrates and invertebrates. Currently, information for >100,000 cell lines is provided. For each cell line, it provides a wealth of information, cross-references, and literature citations. The Cellosaurus is available on the ExPASy server (https://web.expasy.org/cellosaurus/) and can be downloaded in a variety of formats. Among its many uses, the Cellosaurus is a key resource to help researchers identify potentially contaminated/misidentified cell lines, thus contributing to improving the quality of research in the life sciences.
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Cellosaurus is maintained by the Swiss Institute of Bioinformatics and is a comprehensive knowledge base encompassing thousands of cell lines from various species.
“Maintained by the Swiss Institute of Bioinformatics, Cellosaurus is a comprehensive knowledge base, encompassing thousands of cell lines from various species.”
From Cell line authentication and validation is a key requirement for <i>Journal of Cell Communication and Signaling</i> publications (2025) · cites this paper as [15]
The Abstract reports that Cellosaurus describes more than 100,000 cell lines, and the Scope section says it covers vertebrate and invertebrate species. The Cellosaurus on ExPASy section says it is available on the Swiss Institute of Bioinformatics’ server, but does not establish that the institute maintains it. (LLM, conf=0.84)
Experimental — accuracy not yet measuredCurated 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].”
From Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review (2026) · cites this paper as [37]
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 measuredThe Cellosaurus database is an essential resource for tracking cell lines.
“The Cellosaurus database is an essential resource for tracking cell lines. 15”
From Cell line authentication and validation is a key requirement for <i>Journal of Cell Communication and Signaling</i> publications (2025) · cites this paper as [15]
Scientists and journal editors can consult Cellosaurus to validate the known properties of a particular cell line, check whether it has been flagged for contamination or misidentification, and resolve synonyms or conflicting names.
“Scientists and journal editors can consult Cellosaurus to validate the known properties of a particular cell line, check whether it has been flagged for contamination or misidentification, and resolve synonyms or conflicting names.”
From Cell line authentication and validation is a key requirement for <i>Journal of Cell Communication and Signaling</i> publications (2025) · cites this paper as [15]
Cell line identifiers can be cross-referenced with knowledge databases such as Cellosaurus to verify the identity and origin of a cell line and identify potential issues such as misidentification, cross-contamination, or misclassification.
“Cell line identifiers, which consist of short alphanumeric strings, can be cross‐referenced with knowledge databases such as Cellosaurus to verify the identity and origin of any given cell line and identify potential issues such as misidentification, cross‐contamination, or misclassification of cell lines.”
From Cell line authentication and validation is a key requirement for <i>Journal of Cell Communication and Signaling</i> publications (2025) · cites this paper as [15]
The latest version of Cellosaurus (release April 52, 2025) contains information on 163,868 cell lines, including 121,295 from human, 29,536 from mouse, and 3,115 from rat.
“The latest version of this database (release April 52, 2025) contains information on 163,868 cell lines (e.g., 121,295 from human, 29,536 from mouse, 3115 from rat) commonly used in biomedical research.”
From Cell line authentication and validation is a key requirement for <i>Journal of Cell Communication and Signaling</i> publications (2025) · cites this paper as [15]
The “Statistics of the Current Release” section reports figures for release 25 in March 2018, not release 52 in April 2025. The 2018 figures neither verify nor contradict the claimed 2025 total and species counts; no passage in our copy addresses that later release. (LLM, conf=0.90)
Experimental — accuracy not yet measuredTwo non-verifiable identifiers, BGC-803 and BSG-823, were recognized misspellings of the contaminated cell lines BGC-823 or MGC-803.
“Two NV identifiers (BGC-803, BSG-823) were recognized misspellings (26) of the contaminated cell lines BGC-823 or MGC-803 (38–41)”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [26]
Frequent misspelled cell line identifiers in Cellosaurus, together with the many NV identifiers we found, suggest that more NV cell line identifiers are yet to be discovered.
“Repeated references to misspelled cell line identifiers in Cellosaurus (26), combined with the many NV identifiers found in this study, suggest that other NV cell line identifiers remain to be discovered.”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [26]
Some original papers that described experiments involving non-verifiable cell line identifiers referred to those identifiers without mentioning any similarly named human cell line.
“Some original papers that described the results of experiments involving NV cell line identifier(s) referred to these identifier(s) without reference to any similarly named human cell line (26).”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [26]
Like other identifiers without inherent visual meaning, cell line identifiers are easily written incorrectly or misspelled.
“As reported for other identifiers that lack intrinsic visual sense (52), cell line identifiers are prone to being wrongly written or misspelled (22, 26).”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [26]
The Passport model name is accompanied by synonyms and unique identifiers utilized by established resources such as RRID, COSMIC and CCLE to aid data integration and alignment.
“The Passport model name is accompanied by synonyms and most importantly unique identifiers utilized by established resources such as Research Resource Identifiers (RRID) (19), the Catalogue of Somatic Mutations in Cancer (COSMIC) (20) and CCLE (6) to aid data integration and alignment.”
From Cell Model Passports-a hub for clinical, genetic and functional datasets of preclinical cancer models (2019) · cites this paper as [19]
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Flagged first, then by citations
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Kim, S., Chen, J., Cheng, T., Gindulyte, A., He, J., He, S., Li, Q., Shoemaker, B. A., Thiessen, P. A., Yu, B., et al. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkac956 · Cited by 3,443 · see citing works
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Byrne, J. A., & Christopher, J. (2020) · FEBS Letters · doi:10.1002/1873-3468.13747 · Cited by 133 · see citing works
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Min, D.-J., Vural, S., & Krushkal, J. (2019) · Cancer Genetics · doi:10.1016/j.cancergen.2019.05.005 · Cited by 23 · see citing works
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Weiskirchen, R., Almeida, J., & Chaqour, B. (2025) · Journal of Cell Communication and Signaling · doi:10.1002/ccs3.70029 · Cited by 5 · see citing works
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Ruíz Moleón, V., Fotouhi, M., Alende, C., Ayoubi, R., Bedford, L. M., Southern, K., Richardson, T. I., Laflamme, C., NeuroSGC/YCharOS/EDDU collaborative group, & ABIF consortium (2024) · F1000Research · doi:10.12688/f1000research.146156.1 · Cited by 1 · see citing works
- Authors
- Bairoch, A.
- Affiliations
- University of Geneva (CH)
- Corresponding author
- Bairoch, Amos
- ORCID
- Bairoch, Amos
- Venue
- Journal of Biomolecular Techniques JBT
- Published
- 2018-07
- Volume
- 29
- Issue
- 2
- Pages
- 25-38
- ISSN
- 1524-0215 (ISSN-L)
- 1943-4731
- PMC
- PMC5945021
- OpenAlex
- W2805978167
- Cited by
- 807
- References
- 71
- Citations by year
- 2026: 103 · 2025: 135 · 2024: 148 · 2023: 108 · 2022: 85 · 2021: 86 · 2020: 86 · 2019: 38 · 2018: 13 · 2017: 4 · 2016: 1
- FWCI
- 97.63
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- cc-by-nd
- Locations
- Journal of Biomolecular Techniques JBT (publishedVersion, cc-by-nd)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion, other-oa)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
- Keywords
- Cellosaurus, cell lines, knowledge resources, cell line identification, contamination detection, reference citation
- MeSH terms
- Cell Line, Humans, Software, Databases, Factual, Computational Biology
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.
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 ›
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