Abstract

Protein complexes are assemblies of subunits that have co-evolved to execute one or many coordinated functions in the cellular environment. Functional annotation of mammalian protein complexes is critical to understanding biological processes, as well as disease mechanisms. Here, we used genetic co-essentiality derived from genome-scale RNAi- and CRISPR-Cas9-based fitness screens performed across hundreds of human cancer cell lines to assign measures of functional similarity. From these measures, we systematically built and characterized functional similarity networks that recapitulate known structural and functional features of well-studied protein complexes and resolve novel functional modules within complexes lacking structural resolution, such as the mammalian SWI/SNF complex. Finally, by integrating functional networks with large protein-protein interaction networks, we discovered novel protein complexes involving recently evolved genes of unknown function. Taken together, these findings demonstrate the utility of genetic perturbation screens alone, and in combination with large-scale biophysical data, to enhance our understanding of mammalian protein complexes in normal and disease states.

Highlights

  • The derivation of gene-gene relationships is a central goal of systems genetics (Baliga et al, 2017)

  • Genetic interaction mapping has been most extensively pursued in S. cerevisiae, in which crosses between gene knockout strains coupled with cellular fitness readouts enabled systematic measurements of genetic interactions (Pan et al, 2004; Schuldiner et al, 2005; Tong et al, 2004)

  • Studies have indicated that genes functioning within similar biological processes tend to share genetic interaction partners (Collins et al, 2007; Kelley and Ideker, 2005; Schuldiner et al, 2005), which motivated the construction of genome-scale functional similarity networks for yeast (Costanzo et al, 2010; Costanzo et al, 2016)

Read more

Summary

Introduction

The derivation of gene-gene relationships is a central goal of systems genetics (Baliga et al, 2017). Studies have indicated that genes functioning within similar biological processes tend to share genetic interaction partners (Collins et al, 2007; Kelley and Ideker, 2005; Schuldiner et al, 2005), which motivated the construction of genome-scale functional similarity networks for yeast (Costanzo et al, 2010; Costanzo et al, 2016) In these networks, functionally related genes share an edge based on the similarity of their genetic interaction profiles, yielding a modular, hierarchical model of the cell, in which genes with coordinated functions, such as members of the same protein complex, cluster into functional modules

Methods
Results
Discussion
Conclusion
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.