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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290824/ https://www.ncbi.nlm.nih.gov/pubmed/25476604 http://dx.doi.org/10.1186/s13059-014-0554-4 |
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author | Li, Wei Xu, Han Xiao, Tengfei Cong, Le Love, Michael I Zhang, Feng Irizarry, Rafael A Liu, Jun S Brown, Myles Liu, X Shirley |
author_facet | Li, Wei Xu, Han Xiao, Tengfei Cong, Le Love, Michael I Zhang, Feng Irizarry, Rafael A Liu, Jun S Brown, Myles Liu, X Shirley |
author_sort | Li, Wei |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0554-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4290824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42908242015-01-28 MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens Li, Wei Xu, Han Xiao, Tengfei Cong, Le Love, Michael I Zhang, Feng Irizarry, Rafael A Liu, Jun S Brown, Myles Liu, X Shirley Genome Biol Method 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-014-0554-4) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-05 2014 /pmc/articles/PMC4290824/ /pubmed/25476604 http://dx.doi.org/10.1186/s13059-014-0554-4 Text en © Li et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Li, Wei Xu, Han Xiao, Tengfei Cong, Le Love, Michael I Zhang, Feng Irizarry, Rafael A Liu, Jun S Brown, Myles Liu, X Shirley MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title | MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title_full | MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title_fullStr | MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title_full_unstemmed | MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title_short | MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens |
title_sort | mageck enables robust identification of essential genes from genome-scale crispr/cas9 knockout screens |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4290824/ https://www.ncbi.nlm.nih.gov/pubmed/25476604 http://dx.doi.org/10.1186/s13059-014-0554-4 |
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