Evidence map›Paper›PMID 42434925›Full record

ArticleCurrent protocols2026

A Biomedical Researcher's Guide for Analyzing Short Tandem Repeat (STR) Genotypes of Human Cell Lines and in Vitro Tissue Samples Using Three Standard Authentication Algorithms.

Christopher T Korch

Abstract read
In one paragraph

Article in Current protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

1 author.

Christopher T KorchDivision of Medical Oncology Department of Medicine, Mailstop 8117, University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID https://orcid.org/0009-0007-4072-7983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell line authenticity is critical for producing reproducible and rigorously valid biomedical research. As of version 14 of its Register of Misidentified Cell Lines, released in 2026, the International Cell Line Authentication Committee (ICLAC) has identified 560 commonly used cell lines that are misidentified and for which there are no known authentic samples, and 48 samples of misidentified cell lines for which authentic samples have been found. The Cellosaurus Cell Line Knowledge Resource of August 2025 lists information about 122,819 human-derived cell lines, of which 1396 are "problematic cell lines." From extensive surveys of frequently used cell lines around the world, on average 22% of cell lines, or 2 of every 9, being used in laboratories are likely to be incorrect. Consequently, it is important that cell lines be authenticated (1) before starting a project utilizing them, (2) during their use in a project, and (3) after the project is completed to avoid publishing invalid and irreproducible information. The authentication of human cell lines is best achieved through analysis of short tandem repeat (STR) sequences in the genomic DNA. The resulting genotype data must be compared with those of reference genotypes in databases to determine whether they are derived from the original tissue sample or are misidentified. Cellosaurus release 54.0 contains 9063 STR genotypes for human-derived cell lines. This report with its Supporting Information, along with the accompanying workflow protocol article, are designed to provide an explanation of how to acquire and best apply three standard algorithms for correctly analyzing STR authentication genotyping data of human cell lines and cultured tissue samples. Unlike the revised Human Cell Line Authentication Standardization of STR Profiling (ASN-0002), this article is aimed at researchers, editors, and reviewers who need to understand how to interpret the resulting comparisons. This article is related to the accompanying protocol article entitled "Analytical Workflow Protocol for Determining the Authenticity of Human Cell Lines and Tissue Samples by Genotype STR Analysis" (Korch et al., submitted). © 2026 Wiley Periodicals LLC.

Indexed as

AlgorithmsCell Line AuthenticationMicrosatellite RepeatsBiomedical ResearchCell LineGenotypeHumansauthentication algorithmscell line and tissue authenticationhuman cell linesSTR genotyping

Identifiers

PMID42434925
PMCPMC13355536

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.