Literature DB >> 22681890

Hierarchical modularity and the evolution of genetic interactomes across species.

Colm J Ryan1, Assen Roguev, Kristin Patrick, Jiewei Xu, Harlizawati Jahari, Zongtian Tong, Pedro Beltrao, Michael Shales, Hong Qu, Sean R Collins, Joseph I Kliegman, Lingli Jiang, Dwight Kuo, Elena Tosti, Hyun-Soo Kim, Winfried Edelmann, Michael-Christopher Keogh, Derek Greene, Chao Tang, Pádraig Cunningham, Kevan M Shokat, Gerard Cagney, J Peter Svensson, Christine Guthrie, Peter J Espenshade, Trey Ideker, Nevan J Krogan.   

Abstract

To date, cross-species comparisons of genetic interactomes have been restricted to small or functionally related gene sets, limiting our ability to infer evolutionary trends. To facilitate a more comprehensive analysis, we constructed a genome-scale epistasis map (E-MAP) for the fission yeast Schizosaccharomyces pombe, providing phenotypic signatures for ~60% of the nonessential genome. Using these signatures, we generated a catalog of 297 functional modules, and we assigned function to 144 previously uncharacterized genes, including mRNA splicing and DNA damage checkpoint factors. Comparison with an integrated genetic interactome from the budding yeast Saccharomyces cerevisiae revealed a hierarchical model for the evolution of genetic interactions, with conservation highest within protein complexes, lower within biological processes, and lowest between distinct biological processes. Despite the large evolutionary distance and extensive rewiring of individual interactions, both networks retain conserved features and display similar levels of functional crosstalk between biological processes, suggesting general design principles of genetic interactomes.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22681890      PMCID: PMC3380636          DOI: 10.1016/j.molcel.2012.05.028

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  81 in total

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Journal:  Nat Biotechnol       Date:  2010-05-16       Impact factor: 54.908

2.  Ragulator-Rag complex targets mTORC1 to the lysosomal surface and is necessary for its activation by amino acids.

Authors:  Yasemin Sancak; Liron Bar-Peled; Roberto Zoncu; Andrew L Markhard; Shigeyuki Nada; David M Sabatini
Journal:  Cell       Date:  2010-04-08       Impact factor: 41.582

3.  Quantitative genetic interactions reveal biological modularity.

Authors:  Pedro Beltrao; Gerard Cagney; Nevan J Krogan
Journal:  Cell       Date:  2010-05-28       Impact factor: 41.582

4.  The genetic landscape of a cell.

Authors:  Michael Costanzo; Anastasia Baryshnikova; Jeremy Bellay; Yungil Kim; Eric D Spear; Carolyn S Sevier; Huiming Ding; Judice L Y Koh; Kiana Toufighi; Sara Mostafavi; Jeany Prinz; Robert P St Onge; Benjamin VanderSluis; Taras Makhnevych; Franco J Vizeacoumar; Solmaz Alizadeh; Sondra Bahr; Renee L Brost; Yiqun Chen; Murat Cokol; Raamesh Deshpande; Zhijian Li; Zhen-Yuan Lin; Wendy Liang; Michaela Marback; Jadine Paw; Bryan-Joseph San Luis; Ermira Shuteriqi; Amy Hin Yan Tong; Nydia van Dyk; Iain M Wallace; Joseph A Whitney; Matthew T Weirauch; Guoqing Zhong; Hongwei Zhu; Walid A Houry; Michael Brudno; Sasan Ragibizadeh; Balázs Papp; Csaba Pál; Frederick P Roth; Guri Giaever; Corey Nislow; Olga G Troyanskaya; Howard Bussey; Gary D Bader; Anne-Claude Gingras; Quaid D Morris; Philip M Kim; Chris A Kaiser; Chad L Myers; Brenda J Andrews; Charles Boone
Journal:  Science       Date:  2010-01-22       Impact factor: 47.728

Review 5.  Finding the missing heritability of complex diseases.

Authors:  Teri A Manolio; Francis S Collins; Nancy J Cox; David B Goldstein; Lucia A Hindorff; David J Hunter; Mark I McCarthy; Erin M Ramos; Lon R Cardon; Aravinda Chakravarti; Judy H Cho; Alan E Guttmacher; Augustine Kong; Leonid Kruglyak; Elaine Mardis; Charles N Rotimi; Montgomery Slatkin; David Valle; Alice S Whittemore; Michael Boehnke; Andrew G Clark; Evan E Eichler; Greg Gibson; Jonathan L Haines; Trudy F C Mackay; Steven A McCarroll; Peter M Visscher
Journal:  Nature       Date:  2009-10-08       Impact factor: 49.962

Review 6.  Detecting gene-gene interactions that underlie human diseases.

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Authors:  Cortney G Angers; Alexey J Merz
Journal:  Mol Biol Cell       Date:  2009-09-09       Impact factor: 4.138

8.  Violations of robustness trade-offs.

Authors:  Hiroaki Kitano
Journal:  Mol Syst Biol       Date:  2010-06-22       Impact factor: 11.429

9.  Genome-wide association data reveal a global map of genetic interactions among protein complexes.

Authors:  Gregory Hannum; Rohith Srivas; Aude Guénolé; Haico van Attikum; Nevan J Krogan; Richard M Karp; Trey Ideker
Journal:  PLoS Genet       Date:  2009-12-24       Impact factor: 5.917

10.  A global analysis of genetic interactions in Caenorhabditis elegans.

Authors:  Alexandra B Byrne; Matthew T Weirauch; Victoria Wong; Martina Koeva; Scott J Dixon; Joshua M Stuart; Peter J Roy
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  106 in total

Review 1.  Bacterial protein networks: properties and functions.

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2.  Predicting functional gene interactions with the hierarchical interaction score.

Authors:  Berend Snijder; Prisca Liberali; Mathieu Frechin; Thomas Stoeger; Lucas Pelkmans
Journal:  Nat Methods       Date:  2013-10-06       Impact factor: 28.547

3.  Identification of a BET family bromodomain/casein kinase II/TAF-containing complex as a regulator of mitotic condensin function.

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Journal:  Cell Rep       Date:  2014-02-22       Impact factor: 9.423

4.  Evolution. Systematic humanization of yeast genes reveals conserved functions and genetic modularity.

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Journal:  Science       Date:  2015-05-22       Impact factor: 47.728

5.  Conserved abundance and topological features in chromatin-remodeling protein interaction networks.

Authors:  Mihaela E Sardiu; Joshua M Gilmore; Brad D Groppe; Damir Herman; Sreenivasa R Ramisetty; Yong Cai; Jingji Jin; Ronald C Conaway; Joan W Conaway; Laurence Florens; Michael P Washburn
Journal:  EMBO Rep       Date:  2014-11-26       Impact factor: 8.807

6.  Shelterin components mediate genome reorganization in response to replication stress.

Authors:  Takeshi Mizuguchi; Nitika Taneja; Emiko Matsuda; Jon-Matthew Belton; Peter FitzGerald; Job Dekker; Shiv I S Grewal
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7.  Genetic interaction analysis of point mutations enables interrogation of gene function at a residue-level resolution: exploring the applications of high-resolution genetic interaction mapping of point mutations.

Authors:  Hannes Braberg; Erica A Moehle; Michael Shales; Christine Guthrie; Nevan J Krogan
Journal:  Bioessays       Date:  2014-05-20       Impact factor: 4.345

8.  Integrative analysis of large-scale loss-of-function screens identifies robust cancer-associated genetic interactions.

Authors:  Christopher J Lord; Niall Quinn; Colm J Ryan
Journal:  Elife       Date:  2020-05-28       Impact factor: 8.140

Review 9.  Integrative approaches for finding modular structure in biological networks.

Authors:  Koyel Mitra; Anne-Ruxandra Carvunis; Sanath Kumar Ramesh; Trey Ideker
Journal:  Nat Rev Genet       Date:  2013-10       Impact factor: 53.242

10.  A Network of Conserved Synthetic Lethal Interactions for Exploration of Precision Cancer Therapy.

Authors:  Rohith Srivas; John Paul Shen; Chih Cheng Yang; Su Ming Sun; Jianfeng Li; Andrew M Gross; James Jensen; Katherine Licon; Ana Bojorquez-Gomez; Kristin Klepper; Justin Huang; Daniel Pekin; Jia L Xu; Huwate Yeerna; Vignesh Sivaganesh; Leonie Kollenstart; Haico van Attikum; Pedro Aza-Blanc; Robert W Sobol; Trey Ideker
Journal:  Mol Cell       Date:  2016-07-21       Impact factor: 17.970

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