MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens

We propose the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) method for prioritizing single-guide RNAs, genes and pathways in genome-scale CRISPR/Cas9 knockout screens. MAGeCK demonstrates better performance compared with existing methods, identifies both positively and negativel...

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Vydané v:Genome biology Ročník 15; číslo 12; s. 554
Hlavní autori: Li, Wei, Xu, Han, Xiao, Tengfei, Cong, Le, Love, Michael I, Zhang, Feng, Irizarry, Rafael A, Liu, Jun S, Brown, Myles, Liu, X Shirley
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London BioMed Central 05.12.2014
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ISSN:1474-760X, 1465-6906, 1474-760X, 1465-6914
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Shrnutí:We propose the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) method for prioritizing single-guide RNAs, genes and pathways in genome-scale CRISPR/Cas9 knockout screens. MAGeCK demonstrates better performance compared with existing methods, identifies both positively and negatively selected genes simultaneously, and reports robust results across different experimental conditions. Using public datasets, MAGeCK identified novel essential genes and pathways, including EGFR in vemurafenib-treated A375 cells harboring a BRAF mutation. MAGeCK also detected cell type-specific essential genes, including BCR and ABL1 , in KBM7 cells bearing a BCR-ABL fusion, and IGF1R in HL-60 cells, which depends on the insulin signaling pathway for proliferation.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
ISSN:1474-760X
1465-6906
1474-760X
1465-6914
DOI:10.1186/s13059-014-0554-4