Literature DB >> 16087428

Gene essentiality and the topology of protein interaction networks.

Stéphane Coulomb1, Michel Bauer, Denis Bernard, Marie-Claude Marsolier-Kergoat.   

Abstract

The mechanistic bases for gene essentiality and for cell mutational resistance have long been disputed. The recent availability of large protein interaction databases has fuelled the analysis of protein interaction networks and several authors have proposed that gene dispensability could be strongly related to some topological parameters of these networks. However, many results were based on protein interaction data whose biases were not taken into account. In this article, we show that the essentiality of a gene in yeast is poorly related to the number of interactants (or degree) of the corresponding protein and that the physiological consequences of gene deletions are unrelated to several other properties of proteins in the interaction networks, such as the average degrees of their nearest neighbours, their clustering coefficients or their relative distances. We also found that yeast protein interaction networks lack degree correlation, i.e. a propensity for their vertices to associate according to their degrees. Gene essentiality and more generally cell resistance against mutations thus seem largely unrelated to many parameters of protein network topology.

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Year:  2005        PMID: 16087428      PMCID: PMC1559853          DOI: 10.1098/rspb.2005.3128

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  22 in total

1.  DIP: the database of interacting proteins.

Authors:  I Xenarios; D W Rice; L Salwinski; M K Baron; E M Marcotte; D Eisenberg
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Specificity and stability in topology of protein networks.

Authors:  Sergei Maslov; Kim Sneppen
Journal:  Science       Date:  2002-05-03       Impact factor: 47.728

3.  Protein interactions: two methods for assessment of the reliability of high throughput observations.

Authors:  Charlotte M Deane; Łukasz Salwiński; Ioannis Xenarios; David Eisenberg
Journal:  Mol Cell Proteomics       Date:  2002-05       Impact factor: 5.911

Review 4.  Network biology: understanding the cell's functional organization.

Authors:  Albert-László Barabási; Zoltán N Oltvai
Journal:  Nat Rev Genet       Date:  2004-02       Impact factor: 53.242

5.  Assortative mixing in networks.

Authors:  M E J Newman
Journal:  Phys Rev Lett       Date:  2002-10-28       Impact factor: 9.161

Review 6.  Genomic analysis of essentiality within protein networks.

Authors:  Haiyuan Yu; Dov Greenbaum; Hao Xin Lu; Xiaowei Zhu; Mark Gerstein
Journal:  Trends Genet       Date:  2004-06       Impact factor: 11.639

7.  Functional organization of the yeast proteome by systematic analysis of protein complexes.

Authors:  Anne-Claude Gavin; Markus Bösche; Roland Krause; Paola Grandi; Martina Marzioch; Andreas Bauer; Jörg Schultz; Jens M Rick; Anne-Marie Michon; Cristina-Maria Cruciat; Marita Remor; Christian Höfert; Malgorzata Schelder; Miro Brajenovic; Heinz Ruffner; Alejandro Merino; Karin Klein; Manuela Hudak; David Dickson; Tatjana Rudi; Volker Gnau; Angela Bauch; Sonja Bastuck; Bettina Huhse; Christina Leutwein; Marie-Anne Heurtier; Richard R Copley; Angela Edelmann; Erich Querfurth; Vladimir Rybin; Gerard Drewes; Manfred Raida; Tewis Bouwmeester; Peer Bork; Bertrand Seraphin; Bernhard Kuster; Gitte Neubauer; Giulio Superti-Furga
Journal:  Nature       Date:  2002-01-10       Impact factor: 49.962

8.  A comprehensive two-hybrid analysis to explore the yeast protein interactome.

Authors:  T Ito; T Chiba; R Ozawa; M Yoshida; M Hattori; Y Sakaki
Journal:  Proc Natl Acad Sci U S A       Date:  2001-03-13       Impact factor: 11.205

9.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

10.  Structure and evolution of protein interaction networks: a statistical model for link dynamics and gene duplications.

Authors:  Johannes Berg; Michael Lässig; Andreas Wagner
Journal:  BMC Evol Biol       Date:  2004-11-27       Impact factor: 3.260

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  42 in total

1.  A genome-wide map of human genetic interactions inferred from radiation hybrid genotypes.

Authors:  Andy Lin; Richard T Wang; Sangtae Ahn; Christopher C Park; Desmond J Smith
Journal:  Genome Res       Date:  2010-05-27       Impact factor: 9.043

2.  Unifying measures of gene function and evolution.

Authors:  Yuri I Wolf; Liran Carmel; Eugene V Koonin
Journal:  Proc Biol Sci       Date:  2006-06-22       Impact factor: 5.349

3.  Network properties of genes harboring inherited disease mutations.

Authors:  Igor Feldman; Andrey Rzhetsky; Dennis Vitkup
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-07       Impact factor: 11.205

Review 4.  Three independent determinants of protein evolutionary rate.

Authors:  Sun Shim Choi; Sridhar Hannenhalli
Journal:  J Mol Evol       Date:  2013-02-12       Impact factor: 2.395

5.  Human cancer protein-protein interaction network: a structural perspective.

Authors:  Gozde Kar; Attila Gursoy; Ozlem Keskin
Journal:  PLoS Comput Biol       Date:  2009-12-11       Impact factor: 4.475

6.  Towards the prediction of essential genes by integration of network topology, cellular localization and biological process information.

Authors:  Marcio L Acencio; Ney Lemke
Journal:  BMC Bioinformatics       Date:  2009-09-16       Impact factor: 3.169

7.  Directed mammalian gene regulatory networks using expression and comparative genomic hybridization microarray data from radiation hybrids.

Authors:  Sangtae Ahn; Richard T Wang; Christopher C Park; Andy Lin; Richard M Leahy; Kenneth Lange; Desmond J Smith
Journal:  PLoS Comput Biol       Date:  2009-06-12       Impact factor: 4.475

8.  POLAR MAPPER: a computational tool for integrated visualization of protein interaction networks and mRNA expression data.

Authors:  Joana P Gonçalves; Mário Grãos; André X C N Valente
Journal:  J R Soc Interface       Date:  2008-11-28       Impact factor: 4.118

9.  Exploiting gene deletion fitness effects in yeast to understand the modular architecture of protein complexes under different growth conditions.

Authors:  Roland A Pache; M Madan Babu; Patrick Aloy
Journal:  BMC Syst Biol       Date:  2009-07-18

10.  Chromatin regulation and gene centrality are essential for controlling fitness pleiotropy in yeast.

Authors:  Linqi Zhou; Xiaotu Ma; Michelle N Arbeitman; Fengzhu Sun
Journal:  PLoS One       Date:  2009-11-30       Impact factor: 3.240

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