The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Genetic profiling reveals an alarming rate of cross‐contamination among human cell lines used in China
Abstract
Cell lines are widely used as in vitro model systems in biologic and medical research. However, much of the research has been invalidated by the unwitting use of false cell lines. A significant proportion of the research involving human cell lines was initiated in China. Paradoxically, the cell lines used in China have never been authenticated. Here, we present a comprehensive survey of cross‐contamination in 380 samples from 113 independent sources in China using short tandem repeat profiling methods. High levels of cross‐contamination were uncovered (95 of 380, 25%). Notable false cell lines ( e.g. , KB and WISH) are still actively used under their false identity and tissue attributions. Most strikingly, 85.51% of lines established in China were misidentified (59 of 69) and accounted for over half of the misidentifications (59 of 95, 62.11%). Further, 93.22% of the contaminants in cell lines established in laboratories of China were HeLa cells or a possible hybrid of HeLa with an unknown cell line. Results from these misidentified lines have been published in thousands of potentially erroneous articles and may have distorted the findings visible to the scientific community. False lines have been used in drug screening, potentially leading to unusable or even harmful therapeutic strategies. We also noted the causes of contamination and provided suggestions for remediation.—Ye, F., Chen, C, Qin, J., Liu, J., Zheng, C. Genetic profiling reveals an alarming rate of cross‐contamination among human cell lines used in China. FASEB J. 29, 4268‐4272 (2015). www.fasebj.org
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In the citing paper
“Our lab started using STR for cell line authentication from 2009 with 16/20-loci STR and found about 25% cross-contamination or misidentification among 380 cell lines from 2009 to 2013 [6].”
From Investigation of Cross-Contamination and Misidentification of 278 Widely Used Tumor Cell Lines (2017) · cites this paper as [6]
In the citing paper
“An alarming rate of cross-contamination among human cell lines used in China was reported by Fang Ye and colleagues [6] who investigated 380 human cell lines in which about 25% was cross-contaminated or misidentified.”
From Investigation of Cross-Contamination and Misidentification of 278 Widely Used Tumor Cell Lines (2017) · cites this paper as [6]
In the citing paper
“In spite of several alarm calls and initiatives to remedy the problem, misidentification continues to haunt biomedical research, with new announcements of large-scale cross-contaminations and widespread use of misidentified cell lines appearing even recently [11–13].”
From The ghosts of HeLa: How cell line misidentification contaminates the scientific literature (2017) · cites this paper as [13]
In the citing paper
“Nevertheless, an analysis of the literature for the past five years showed a dramatic rise of China’s share in the contaminated literature, confirming recent worries expressed in the literature [13].”
From The ghosts of HeLa: How cell line misidentification contaminates the scientific literature (2017) · cites this paper as [13]
In the citing paper
“demonstrate that of all ‘new’ cell lines developed in China 85% actually turned out to be HeLa cells [13].”
From The ghosts of HeLa: How cell line misidentification contaminates the scientific literature (2017) · cites this paper as [13]
In the citing paper
“several recent publications indicate levels of cell line contamination for China between 25% [13] and 46% [46]”
From The ghosts of HeLa: How cell line misidentification contaminates the scientific literature (2017) · cites this paper as [13]
In the citing paper
“A 2015 STR profile of 380 samples from 113 independent labs uncovered a 25% (95/380) CCCM rate [153].”
From The history, landscape, and outlook of human cell line authentication and security (2024) · cites this paper as [153]
In the citing paper
“More than three quarters of the lines established in China were misidentified [153].”
From The history, landscape, and outlook of human cell line authentication and security (2024) · cites this paper as [153]
In the citing paper
“This revealed that in 185/420 (44%) papers, all 8 NV identifiers could represent misspellings of similarly named cell lines, which were typically HeLa-contaminated cancer cell lines (38–41).”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [38]
In the citing paper
“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 [38]
In the citing paper
“These NV cell lines were also not described by studies describing STR profiles for similarly named contaminated cell lines (38–41).”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [38]
In the citing paper
“and 3 NV cell lines (BGC-803, GSE-1, MGC-823) were described as sourced from the China Center for Type Culture Collection (38–41).”
From Misspellings or “miscellings”—Non‐verifiable and unknown cell lines in cancer research publications (2024) · cites this paper as [38]
Citations
Cites
HeLa cells 50 years on: the good, the bad and the ugly
Masters, J. R. (2002) · Nature Reviews Cancer · doi:10.1038/nrc775 · Cited by 560
Check your cultures! A list of cross‐contaminated or misidentified cell lines
Capes‐Davis, A., Theodosopoulos, G., Atkin, I., Drexler, H. G., Kohara, A., MacLeod, R. A. F., Masters, J. R., Nakamura, Y., Reid, Y. A., Reddel, R. R., et al. (2010) · International Journal of Cancer · doi:10.1002/ijc.25242 · Cited by 520 · cited 1×
“The contribution andproportion of contaminants are similar to other reports (4, 26).”
Cross-contamination of cells in culture
Nelson-Rees, W. A., Daniels, D. W., & Flandermeyer, R. R. (1981) · Science · doi:10.1126/science.6451928 · Cited by 329
Cell line misidentification: the beginning of the end
American Type Culture Collection Standards Development Organization Workgroup ASN-0002 (2010) · Nature Reviews Cancer · doi:10.1038/nrc2852 · Cited by 266
Henrietta lacks, HeLa cells, and cell culture contamination
Lucey, B. P., Nelson-Rees, W. A., & Hutchins, G. M. (2009) · Archives of Pathology & Laboratory Medicine · doi:10.5858/133.9.1463 · Cited by 255
Apparent HeLa Cell Contamination of Human Heteroploid Cell Lines
GARTLER, S. M. (1968) · Nature · doi:10.1038/217750a0 · Cited by 226
False leukemia–lymphoma cell lines: an update on over 500 cell lines
Drexler, H. G., Dirks, W. G., Matsuo, Y., & MacLeod, R. A. F. (2003) · Leukemia · doi:10.1038/sj.leu.2402799 · Cited by 202
Match criteria for human cell line authentication: Where do we draw the line?
Capes‐Davis, A., Reid, Y. A., Kline, M. C., Storts, D. R., Strauss, E., Dirks, W. G., Drexler, H. G., MacLeod, R. A. F., Sykes, G., Kohara, A., et al. (2013) · International Journal of Cancer · doi:10.1002/ijc.27931 · Cited by 180 · cited 1×
“The Tanabe matching algorithm (13) was used to compare STR profiles with the referenced profiles.”
MethodSpecies identification in cell culture: a two-pronged molecular approach
Cooper, J. K., Sykes, G., King, S., Cottrill, K., Ivanova, N. V., Hanner, R., & Ikonomi, P. (2007) · In Vitro Cellular & Developmental Biology - Animal · doi:10.1007/s11626-007-9060-2 · Cited by 174 · cited 1×
“(14), was performed for those cell lines from which genomic DNA failed to be amplified using our multiplex PCR system.”
MethodPersistent use of “false” cell lines
Lacroix, M. (2008) · International Journal of Cancer · doi:10.1002/ijc.23233 · Cited by 151
Flagged first, then by citations
Research works printed but not linked: 1
- Chen S., 2009, False leukemia and lymphoma cell lines, Int. J. Blood Transfus. Hematol., 32, 342
Cited by
Sorted by citations
Items 101–149 of 149
Gollin, S. M., & Lewis, D. W. (2017) · Encyclopedia of Life Sciences · doi:10.1002/9780470015902.a0002560.pub2 · Cited by 1
Zhao, X., & Zhou, H. (2022) · International Immunopharmacology · doi:10.1016/j.intimp.2022.108554 · Cited by 1
Editors, T. P. O. (2023) · PLoS ONE · doi:10.1371/journal.pone.0280394 · Cited by 1
RetractedBussooa, A. (2020) · Nanotechnology Science and Applications · doi:10.2147/nsa.s266663
RetractedDawson, R., & Jenkins, B. J. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85563-1.00007-1
- Retracted
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Editors, T. P. O. (2023) · PLoS ONE · doi:10.1371/journal.pone.0284595
Retracted- Retracted
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Thamjamrassri, P., & Ariyachet, C. (2022) · doi:10.58837/chula.the.2022.226
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Retracted- Retracted
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Retracted(2024) · Journal of Cellular Biochemistry · doi:10.1002/jcb.30640
Retracted- Retracted
- Retracted
- Retracted
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Retracted- Retracted
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RetractedSong, W., Zhang, J., Zhang, J., Sun, M., & Xia, Q. (2025) · Cancer Cell International · doi:10.1186/s12935-025-03850-7
Retracted- Retracted
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de Oliveira, D. E., Oliveira, M., & Sanches, P. D. C. D. M. P. (2025) · Virus Genes · doi:10.1007/s11262-025-02180-0
Oncology, J. O. (2025) · Journal of Oncology · doi:10.1155/jo/9874094
RetractedSarfaraz, N., ROSEN, G. L., Winkler, T., Patel, R., Somarowthu, S., & Bouchard, M. J. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.10.30.685599
Chi, Y., Zheng, W., Bao, G., Wu, L., He, X., Gan, R., Shen, Y., Yin, X., & Jin, M. (2025) · Cell Death and Disease · doi:10.1038/s41419-025-08272-x
RetractedDeng, L., Chao, H., Deng, H., Yu, Z., Zhao, R., Huang, L., Gong, Y., Zhu, Y., Wang, Q., Li, F., et al. (2022) · Figshare · doi:10.6084/m9.figshare.19728050
Index of human cells in *Human Cell*, 2025
Kasai, F., & Kataoka, H. (2025) · Human Cell · doi:10.1007/s13577-025-01335-3
Yang, S., Ping, Y., Jiang, Y.-X., Luo, X., Zhang, X., Bian, X.-W., & Yu, P. (2025) · Oncotarget · doi:10.18632/oncotarget.28795
Retracted- Retracted
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Gao, Y., Yu, W., Li, R., Wang, Q., Zhang, M., Zhong, Y., Xia, H., Zhang, F., & Zhu, L. (2026) · Scientific Reports · doi:10.1038/s41598-025-08158-0
- Retracted
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Jiang, G., Cui, Y., Yu, X., Wu, Z., Ding, G., & Cao, L. (2026) · Oncotarget · doi:10.18632/oncotarget.28837
RetractedLiu, X., Yang, L., Tu, J., Cai, W., Zhang, M., Shou, Z., 姚英民, & Xu, Q. (2026) · Oncotarget · doi:10.18632/oncotarget.28869
Retracted- Retracted
Zhang, C., Wang, H., Liu, Q., Dai, S., Tian, G., Wei, X., Li, X., Zhao, L., & Shan, B. (2026) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-026-03737-z
RetractedA decade-long retrospective analysis of cell line authentication in China using over 10,000 samples
Chen, C., Zhao, X. L., He, Y., Chen, X., & Gao, Y. (2026) · Communications Biology · doi:10.1038/s42003-026-10482-8
Self-citationSandoval, A., Olivares, W., Carvajal, F. J., Santoro, P. M., Bizama, C., Ávalos-Guajardo, Y., Torres, K., Marcelo Garrido, S., Norero, E., Quest, A. F. G., et al. (2026) · International Journal of Molecular Sciences · doi:10.3390/ijms27125368
Qu, Z.-L., Liu, T., Qin, T.-K.-Y., Yue, H.-M., Huang, L., Ruan, R., Wu, C.-S., Ye, H., & Li, C. (2026) · Fish & Shellfish Immunology · doi:10.1016/j.fsi.2026.111597
Li, Z., Zhang, J., Liu, X., Li, S., Wang, Q., Chen, D., Hu, Z., Yu, T., Ding, J., Li, J., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-76482-8
RetractedMisidentification of SMMC-7721 undermines its use as a hepatocellular carcinoma model
Weiskirchen, R. (2026) · Naunyn-Schmiedeberg s Archives of Pharmacology · doi:10.1007/s00210-026-05868-8
Tatar, M., Khorrami, M., Kazemi, F., Masoumi, M., Babaei, S., & Khorrami, M. (2026) · Molecular Biology Reports · doi:10.1007/s11033-026-12826-3
Beyond the flask: cancer cell lines and the limits of biological extrapolation
Bekheir, S. A., Maghsoudi, A. S., Alizadeh, A. M., & Abdollahi, M. R. (2026) · Cancer Treatment and Research Communications · doi:10.1016/j.ctarc.2026.101470
Hou, M., Li, C., & Dong, S. (2026) · Scientific Reports · doi:10.1038/s41598-026-66509-x
RetractedSun, C., Wen, K., Zhang, B., Dong, Y., Chen, C., Neo, S.-Y., Leng, B., Gao, T., & Wu, J. (2026) · Aging · doi:10.18632/aging.206433
Self-citation
Metadata
- Authors
- Ye, F., Chen, C., Qin, J., Liu, J., & Zheng, C.
- Affiliations
- Wuhan University (CN)
- Beijing Microread Genetics Company, Limited Beijing China
- Corresponding author
- Zheng, Congyi
- Venue
- The FASEB Journal
- Publisher
- Wiley
- Published
- 2015-06-26
- Volume
- 29
- Issue
- 10
- Pages
- 4268-4272
- ISSN
- 0892-6638 (ISSN-L)
- 1530-6860
- OpenAlex
- W2157825735
- Cited by
- 144
- References
- 28
- Citations by year
- 2026: 15 · 2025: 28 · 2024: 17 · 2023: 11 · 2022: 24 · 2021: 11 · 2020: 12 · 2019: 7 · 2018: 6 · 2017: 9 · 2016: 3 · 2015: 1
- FWCI
- 2.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The FASEB Journal (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Identification and Quantification in Food
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
- Health Sciences › Health Professions › Medical Laboratory Technology › Clinical Laboratory Practices and Quality Control
- Keywords
- human cell lines, cross-contamination, cell line authentication, short tandem repeat profiling, HeLa cells, KB cells
- MeSH terms
- China, DNA, Neoplasm, HeLa Cells, Humans, Polymerase Chain Reaction, Sequence Analysis, DNA, Microsatellite Repeats, Biomedical Research, Cell Line, Tumor, DNA Contamination
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