Assessment of Genetic Drift in Large Pharmacogenomic Studies.
Cell Syst
; 11(4): 393-401.e2, 2020 10 21.
Article
em En
| MEDLINE
| ID: mdl-32937114
ABSTRACT
Genomic instability affects the reproducibility of experiments that rely on cancer cell lines. However, measuring the genomic integrity of these cells throughout a study is a costly endeavor that is commonly forgone. Here, we validate the identity of cancer cell lines in three pharmacogenomic studies and screen for genetic drift within and between datasets. Using SNP data from these datasets encompassing 1,497 unique cell lines and 63 unique pharmacological compounds, we show that genetic drift is widely prevalent in almost all cell lines with a median of 4.5%-6.1% of the total genome size drifted between any two isogenic cell lines. This study highlights the need for molecular profiling of cell lines to minimize the effects of passaging or misidentification in biomedical studies. We developed the CCLid web application, available at www.cclid.ca, to allow users to screen the genomic profiles of their cell lines against these datasets. A record of this paper's transparent peer review process is included in the Supplemental Information.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Farmacogenética
/
Deriva Genética
/
Testes Farmacogenômicos
Limite:
Humans
Idioma:
En
Revista:
Cell Syst
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Canadá