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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| Published in: | Genome biology Vol. 15; no. 12; p. 554 |
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| Main Authors: | , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
05.12.2014
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| Subjects: | |
| ISSN: | 1474-760X, 1465-6906, 1474-760X, 1465-6914 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
| ISSN: | 1474-760X 1465-6906 1474-760X 1465-6914 |
| DOI: | 10.1186/s13059-014-0554-4 |