Publication Date:
2015-04-17
Description:
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.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉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 -- England -- Nature. 2015 Apr 16;520(7547):307-11. doi: 10.1038/nature14397.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Discovery Oncology, Genentech Inc., South San Francisco, California 94080, USA. ; Department of Bioinformatics and Computational Biology, Genentech Inc., South San Francisco, California 94080, USA. ; Department of Pathology, Genentech Inc., South San Francisco, California 94080, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25877200" target="_blank"〉PubMed〈/a〉
Keywords:
Cell Line/*classification/*metabolism
;
Cell Separation
;
*Data Curation
;
Genotype
;
*Guidelines as Topic
;
Microsatellite Repeats/genetics
;
Polymorphism, Single Nucleotide/genetics
;
Quality Control
;
Reproducibility of Results
;
Species Specificity
;
Terminology as Topic
Print ISSN:
0028-0836
Electronic ISSN:
1476-4687
Topics:
Biology
,
Chemistry and Pharmacology
,
Medicine
,
Natural Sciences in General
,
Physics
