Content area

Abstract

Cell line misidentification, contamination and poor annotation affect scientific reproducibility. Here we outline simple measures to detect or avoid cross-contamination, present a framework for cell line annotation linked to short tandem repeat and single nucleotide polymorphism profiles, and provide a catalogue of synonymous cell lines. This resource will enable our community to eradicate the use of misidentified lines and generate credible cell-based data.

Details

Title
A resource for cell line authentication, annotation and quality control
Author
Yu, Mamie; Selvaraj, Suresh K; Liang-Chu, May M Y; Aghajani, Sahar; Busse, Matthew; Yuan, Jean; Lee, Genee; Peale, Franklin; Klijn, Christiaan; Bourgon, Richard; Kaminker, Joshua S; Neve, Richard M
Pages
307-311H
Section
ANALYSIS
Publication year
2015
Publication date
Apr 16, 2015
Publisher
Nature Publishing Group
ISSN
00280836
e-ISSN
14764687
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1673959190
Copyright
Copyright Nature Publishing Group Apr 16, 2015