Title |
Network analysis of gene essentiality in functional genomics experiments
|
---|---|
Published in |
Genome Biology, November 2015
|
DOI | 10.1186/s13059-015-0808-9 |
Pubmed ID | |
Authors |
Peng Jiang, Hongfang Wang, Wei Li, Chongzhi Zang, Bo Li, Yinling J. Wong, Cliff Meyer, Jun S. Liu, Jon C. Aster, X. Shirley Liu |
Abstract |
Many genomic techniques have been developed to study gene essentiality genome-wide, such as CRISPR and shRNA screens. Our analyses of public CRISPR screens suggest protein interaction networks, when integrated with gene expression or histone marks, are highly predictive of gene essentiality. Meanwhile, the quality of CRISPR and shRNA screen results can be significantly enhanced through network neighbor information. We also found network neighbor information to be very informative on prioritizing ChIP-seq target genes and survival indicator genes from tumor profiling. Thus, our study provides a general method for gene essentiality analysis in functional genomic experiments ( http://nest.dfci.harvard.edu ). |
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United Kingdom | 2 | 12% |
India | 1 | 6% |
Unknown | 8 | 47% |
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Scientists | 6 | 35% |
Mendeley readers
Geographical breakdown
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United Kingdom | 3 | 2% |
Chile | 1 | <1% |
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Brazil | 1 | <1% |
Unknown | 175 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 40 | 22% |
Student > Master | 18 | 10% |
Student > Bachelor | 15 | 8% |
Student > Doctoral Student | 10 | 5% |
Other | 32 | 17% |
Unknown | 19 | 10% |
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Biochemistry, Genetics and Molecular Biology | 36 | 20% |
Computer Science | 18 | 10% |
Medicine and Dentistry | 18 | 10% |
Engineering | 8 | 4% |
Other | 12 | 7% |
Unknown | 26 | 14% |