Title |
Genetic Profiling Reveals Cross-Contamination and Misidentification of 6 Adenoid Cystic Carcinoma Cell Lines: ACC2, ACC3, ACCM, ACCNS, ACCS and CAC2
|
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Published in |
PLOS ONE, June 2009
|
DOI | 10.1371/journal.pone.0006040 |
Pubmed ID | |
Authors |
Janyaporn Phuchareon, Yoshihito Ohta, Jonathan M. Woo, David W. Eisele, Osamu Tetsu |
Abstract |
Adenoid cystic carcinoma (ACC) is the second most common malignant neoplasm of the salivary glands. Most patients survive more than 5 years after surgery and postoperative radiation therapy. The 10 year survival rate, however, drops to 40%, due to locoregional recurrences and distant metastases. Improving long-term survival in ACC requires the development of more effective systemic therapies based on a better understanding of the biologic behavior of ACC. Much preclinical research in this field involves the use of cultured cells and, to date, several ACC cell lines have been established. Authentication of these cell lines, however, has not been reported. We performed DNA fingerprint analysis on six ACC cell lines using short tandem repeat (STR) examinations and found that all six cell lines had been contaminated with other cells. ACC2, ACC3, and ACCM were determined to be cervical cancer cells (HeLa cells), whereas the ACCS cell line was composed of T24 urinary bladder cancer cells. ACCNS and CAC2 cells were contaminated with cells derived from non-human mammalian species: the cells labeled ACCNS were mouse cells and the CAC2 cells were rat cells. These observations suggest that future studies using ACC cell lines should include cell line authentication to avoid the use of contaminated or non-human cells. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 2% |
Unknown | 48 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 20% |
Student > Master | 8 | 16% |
Student > Ph. D. Student | 6 | 12% |
Professor | 4 | 8% |
Other | 4 | 8% |
Other | 7 | 14% |
Unknown | 10 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 27% |
Agricultural and Biological Sciences | 12 | 24% |
Biochemistry, Genetics and Molecular Biology | 5 | 10% |
Neuroscience | 3 | 6% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 3 | 6% |
Unknown | 11 | 22% |