Fixing problems with cell lines
Open accessAbstract
Technologies and policies can improve authentication
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Current calls for action and remediation activities are almost exclusively concerned with avoiding future contaminations, such as through systems for easier verification of cell line identities.
“The current calls for action and remediation activities are almost exclusively concerned with avoiding future contaminations, such as through systems for easier verification of cell line identities. Various solutions have been proposed [27–29], among others employing genotypic identification through short tandem repeats (STR) [30].”
From The ghosts of HeLa: How cell line misidentification contaminates the scientific literature (2017) · cites this paper as [28]
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 12 · Cited by 179
- Authors
- Lorsch, J. R., Collins, F. S., & Lippincott-Schwartz, J.
- Affiliations
- National Institute of General Medical Sciences (US)
- National Institutes of Health (US)
- President, American Society for Cell Biology, Bethesda, MD 20814, USA.
- Corresponding author
- Lorsch, Jon R.
- Venue
- Science
- Published
- 2014-12-19
- Volume
- 346
- Issue
- 6216
- Pages
- 1452-1453
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC5101941
- OpenAlex
- W1975611355
- Cited by
- 179
- References
- 12
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 6 · 2023: 6 · 2022: 13 · 2021: 27 · 2020: 22 · 2019: 23 · 2018: 20 · 2017: 20 · 2016: 11 · 2015: 17
- FWCI
- 10.64
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Physiology › Biomedical Ethics and Regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- cell line authentication, cell line misidentification, research integrity, biobanking, authentication technology, authentication policies
- MeSH terms
- Animals, Cell Line, Drug Evaluation, Preclinical, Humans, National Institutes of Health (U.S.), United States, Reproducibility of Results, Biological Specimen Banks, Biomedical Research, Policy
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 ›
Are you an author, or do you see a problem with this page? Request a review
