Evidence map›Paper›PMID 42265334›Full record

ArticleCommunications biology2026

A decade-long retrospective analysis of cell line authentication in China using over 10,000 samples.

Cuijie Chen, Xiankun Zhao, Yan He, Xuekun Chen, Yuzhen Gao

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Cuijie ChenDepartment of Forensic Medicine, Suzhou Medical College of Soochow University, Suzhou, China.
Xiankun ZhaoDivision of DNA typing, Genetic Testing Biotechnology (Suzhou) Co. Ltd., Suzhou, China.
Yan HeDepartment of Epidemiology, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China.
Xuekun ChenDivision of DNA typing, Genetic Testing Biotechnology (Suzhou) Co. Ltd., Suzhou, China.
Yuzhen GaoDepartment of Forensic Medicine, Suzhou Medical College of Soochow University, Suzhou, China. yuzhengao@suda.edu.cn.ORCID http://orcid.org/0000-0001-5907-8062

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82471918
6 · The paper itself

Abstract

Since the 1951 establishment of the HeLa cell line, immortalized cell lines have served as indispensable in vitro models for basic and clinical biomedical research. However, misidentification and contamination continue to undermine experimental reproducibility and validity. Here, we authenticate 11,087 cell lines from 6,947 Chinese institutions between 2016 and 2025 using STR profiling. Decade-long analysis reveals steady annual increases in testing volume and accuracy, identifying HeLa, T24, K-562, HEK293T, and A-549 as the most frequent contaminants. We observe that mutation rates at core STR loci are two to three orders of magnitude higher than those of germline mutations. Given the apparent variability in genomic stability across these loci, we develop a novel weighted algorithm based on locus-specific mutation frequencies of the eight core loci. Re-analysis demonstrates that this algorithm outperforms the classical Tanabe method by reducing false positives and negatives while increasing overall stringency. Additionally, the rising use of murine models highlights the urgent need for more comprehensive reference databases. Our large-scale analysis reflects a growing commitment within China's biomedical community to combat misidentification, offering critical insights for preventing contamination and providing conceptual avenues for next-generation authentication strategies.

Indexed as

Cell Line AuthenticationAlgorithmsAnimalsChinaHumansMicrosatellite RepeatsReproducibility of Results

Identifiers

PMID42265334
PMCPMC13586252

What OpenQuestion holds

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Registered trials

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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.