Major functional bias for mitochondrial complexes in genome-wide CRISPR screens [preprint]

Preprint date

August 31, 2020

Authors

Mahfuzur Rahman (Ph.D. student), Maximilian Billmann (post-doctoral associate), Michael Costanzo, Michael Aregger, Amy Tong, Katherine Chan, Henry N. Ward (Ph.D. student), Kevin R. Brown, Brenda J. Andrews, Charles Boone, Jason Moffat, Chad L. Myers (professor)

Abstract

We present FLEX (Functional evaluation of experimental perturbations), a pipeline that leverages several functional annotation resources to establish reference standards for benchmarking human genome-wide CRISPR screen data and methods for analyzing them. We apply FLEX to analyze data from the diverse cell line screens generated by the DepMap project. We identify a dominant mitochondria-associated signal, which our time-resolved CRISPR screens and analysis suggests may reflect screen dynamics and protein stability effects rather than genetic dependencies.

Link to full paper

Major functional bias for mitochondrial complexes in genome-wide CRISPR screens

Keywords

bioinformatics, computational biology

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