Literature DB >> 29659649

Systems analysis of the genetic interaction network of yeast molecular chaperones.

Kamran Rizzolo1, Ashwani Kumar2, Yoshito Kakihara1, Sadhna Phanse3, Zoran Minic3, Jamie Snider4, Igor Stagljar5, Sandra Zilles2, Mohan Babu3, Walid A Houry6.   

Abstract

Molecular chaperones are typically promiscuous interacting proteins that function globally in the cell to maintain protein homeostasis. Recently, we had carried out experiments that elucidated a comprehensive interaction network for the core 67 chaperones and 15 cochaperones in the budding yeast Saccharomyces cerevisiae [Rizzolo et al., Cell Rep., 2017, 20, 2735-2748]. Here, the genetic (i.e. epistatic) interaction network obtained for chaperones was further analyzed, revealing that the global topological parameters of the resulting network have a more central role in mediating interactions in comparison to the rest of the proteins in the cell. Most notably, we observed Hsp10, Hsp70 Ssz1 chaperone, and Hsp90 cochaperone Cdc37 to be the main drivers of the network architecture. Systematic analysis on the physicochemical properties for all chaperone interactors further revealed the presence of preferential domains and folds that are highly interactive with chaperones such as the WD40 repeat domain. Further analysis with established cellular complexes revealed the involvement of R2TP chaperone in quaternary structure formation. Our results thus provide a global overview of the chaperone network properties in yeast, expanding our understanding of their functional diversity and their role in protein homeostasis.

Entities:  

Year:  2018        PMID: 29659649     DOI: 10.1039/C7MO00142H

Source DB:  PubMed          Journal:  Mol Omics        ISSN: 2515-4184


  6 in total

Review 1.  Multiple functionalities of molecular chaperones revealed through systematic mapping of their interaction networks.

Authors:  Kamran Rizzolo; Walid A Houry
Journal:  J Biol Chem       Date:  2018-09-07       Impact factor: 5.157

Review 2.  Bridging human chaperonopathies and microbial chaperonins.

Authors:  Everly Conway de Macario; Masafumi Yohda; Alberto J L Macario; Frank T Robb
Journal:  Commun Biol       Date:  2019-03-15

3.  Genetic interaction networks mediate individual statin drug response in Saccharomyces cerevisiae.

Authors:  Bede P Busby; Eliatan Niktab; Christina A Roberts; Jeffrey P Sheridan; Namal V Coorey; Dinindu S Senanayake; Lisa M Connor; Andrew B Munkacsi; Paul H Atkinson
Journal:  NPJ Syst Biol Appl       Date:  2019-10-03

4.  Computational Inference of Gene Co-Expression Networks for the identification of Lung Carcinoma Biomarkers: An Ensemble Approach.

Authors:  Fernando M Delgado-Chaves; Francisco Gómez-Vela; Miguel García-Torres; Federico Divina; José Luis Vázquez Noguera
Journal:  Genes (Basel)       Date:  2019-11-22       Impact factor: 4.096

5.  Identifying Genes Related to Acute Myocardial Infarction Based on Network Control Capability.

Authors:  Yanhui Wang; Huimin Xian
Journal:  Genes (Basel)       Date:  2022-07-13       Impact factor: 4.141

6.  Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes.

Authors:  Junliang Shang; Qian Ding; Shasha Yuan; Jin-Xing Liu; Feng Li; Honghai Zhang
Journal:  Genes (Basel)       Date:  2019-01-14       Impact factor: 4.096

  6 in total

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