生物
基因
计算生物学
基因组
遗传学
生物途径
基因表达
作者
Michael Wainberg,Roarke A. Kamber,Akshay Balsubramani,Robin M. Meyers,Nasa Sinnott-Armstrong,Daniel Hornburg,Lihua Jiang,Joanne Chan,Ruiqi Jian,Mingxin Gu,Anna Shcherbina,Michael M. Dubreuil,Kaitlyn Spees,Wouter Meuleman,M Snyder,Michael C. Bassik,Anshul Kundaje
出处
期刊:Nature Genetics
[Nature Portfolio]
日期:2021-04-15
卷期号:53 (5): 638-649
被引量:160
标识
DOI:10.1038/s41588-021-00840-z
摘要
A central question in the post-genomic era is how genes interact to form biological pathways. Measurements of gene dependency across hundreds of cell lines have been used to cluster genes into 'co-essential' pathways, but this approach has been limited by ubiquitous false positives. In the present study, we develop a statistical method that enables robust identification of gene co-essentiality and yields a genome-wide set of functional modules. This atlas recapitulates diverse pathways and protein complexes, and predicts the functions of 108 uncharacterized genes. Validating top predictions, we show that TMEM189 encodes plasmanylethanolamine desaturase, a key enzyme for plasmalogen synthesis. We also show that C15orf57 encodes a protein that binds the AP2 complex, localizes to clathrin-coated pits and enables efficient transferrin uptake. Finally, we provide an interactive webtool for the community to explore our results, which establish co-essentiality profiling as a powerful resource for biological pathway identification and discovery of new gene functions.
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