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Genetic Profiling Reveals Cross-Contamination and Misidentification of 6 Adenoid Cystic Carcinoma Cell Lines: ACC2, ACC3, ACCM, ACCNS, ACCS and CAC2

Overview of attention for article published in PLOS ONE, June 2009
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Title
Genetic Profiling Reveals Cross-Contamination and Misidentification of 6 Adenoid Cystic Carcinoma Cell Lines: ACC2, ACC3, ACCM, ACCNS, ACCS and CAC2
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

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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%