Literature DB >> 15231746

Evolution and topology in the yeast protein interaction network.

Stefan Wuchty1.   

Abstract

The integrity of the yeast protein-protein interaction network is maintained by a few highly connected proteins, or hubs, which hold the numerous less-connected proteins together. The structural importance and the increased essentiality of these proteins suggest that they are likely to be conserved in evolution, implying a strong relationship between the number of interactions and their evolutionary distance to its orthologs in other organisms. The existence of this coherence was recently reported to strongly depend on the quality of the protein interaction and orthologs data. Here, we introduce a novel method, the evolutionary excess retention (ER), allowing us to uncover a robust and strong correlation between the conservation, essentiality, and connectivity of a yeast protein. We conclude that the relevance of the hubs for the network integrity is simultaneously reflected by a considerable probability of simultaneously being evolutionarily conserved and essential, an observation that does not have an equivalent for nonessential proteins. Providing a thorough assessment of the impact noisy and incomplete data have on our findings, we conclude that our results are largely insensitive to the quality of the utilized data. Copyright 2004 Cold Spring Harbor Laboratory Press ISSN

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Year:  2004        PMID: 15231746      PMCID: PMC442146          DOI: 10.1101/gr.2300204

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  24 in total

1.  Networking proteins in yeast.

Authors:  T R Hazbun; S Fields
Journal:  Proc Natl Acad Sci U S A       Date:  2001-04-10       Impact factor: 11.205

2.  The closest BLAST hit is often not the nearest neighbor.

Authors:  L B Koski; G B Golding
Journal:  J Mol Evol       Date:  2001-06       Impact factor: 2.395

3.  Lethality and centrality in protein networks.

Authors:  H Jeong; S P Mason; A L Barabási; Z N Oltvai
Journal:  Nature       Date:  2001-05-03       Impact factor: 49.962

4.  Mapping protein family interactions: intramolecular and intermolecular protein family interaction repertoires in the PDB and yeast.

Authors:  J Park; M Lappe; S A Teichmann
Journal:  J Mol Biol       Date:  2001-03-30       Impact factor: 5.469

5.  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

6.  Estimation of evolutionary distances from protein spatial structures.

Authors:  N V Grishin
Journal:  J Mol Evol       Date:  1997-10       Impact factor: 2.395

7.  Do essential genes evolve slowly?

Authors:  L D Hurst; N G Smith
Journal:  Curr Biol       Date:  1999-07-15       Impact factor: 10.834

8.  Evolutionary rate in the protein interaction network.

Authors:  Hunter B Fraser; Aaron E Hirsh; Lars M Steinmetz; Curt Scharfe; Marcus W Feldman
Journal:  Science       Date:  2002-04-26       Impact factor: 47.728

9.  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

10.  A simple dependence between protein evolution rate and the number of protein-protein interactions.

Authors:  Hunter B Fraser; Dennis P Wall; Aaron E Hirsh
Journal:  BMC Evol Biol       Date:  2003-05-23       Impact factor: 3.260

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  55 in total

Review 1.  A network perspective on metabolism and aging.

Authors:  Quinlyn A Soltow; Dean P Jones; Daniel E L Promislow
Journal:  Integr Comp Biol       Date:  2010-07-12       Impact factor: 3.326

2.  ncRDeathDB: A comprehensive bioinformatics resource for deciphering network organization of the ncRNA-mediated cell death system.

Authors:  Deng Wu; Yan Huang; Juanjuan Kang; Kongning Li; Xiaoman Bi; Ting Zhang; Nana Jin; Yongfei Hu; Puwen Tan; Lu Zhang; Ying Yi; Wenjun Shen; Jian Huang; Xiaobo Li; Xia Li; Jianzhen Xu; Dong Wang
Journal:  Autophagy       Date:  2015       Impact factor: 16.016

Review 3.  Genomes, phylogeny, and evolutionary systems biology.

Authors:  Mónica Medina
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-25       Impact factor: 11.205

4.  Gene essentiality and the topology of protein interaction networks.

Authors:  Stéphane Coulomb; Michel Bauer; Denis Bernard; Marie-Claude Marsolier-Kergoat
Journal:  Proc Biol Sci       Date:  2005-08-22       Impact factor: 5.349

Review 5.  Protein interaction networks in plants.

Authors:  Joachim F Uhrig
Journal:  Planta       Date:  2006-03-31       Impact factor: 4.116

6.  Co-evolutionary analysis of domains in interacting proteins reveals insights into domain-domain interactions mediating protein-protein interactions.

Authors:  Raja Jothi; Praveen F Cherukuri; Asba Tasneem; Teresa M Przytycka
Journal:  J Mol Biol       Date:  2006-08-01       Impact factor: 5.469

Review 7.  Evolution of biomolecular networks: lessons from metabolic and protein interactions.

Authors:  Takuji Yamada; Peer Bork
Journal:  Nat Rev Mol Cell Biol       Date:  2009-11       Impact factor: 94.444

8.  Connectedness of PPI network neighborhoods identifies regulatory hub proteins.

Authors:  Andrew D Fox; Benjamin J Hescott; Anselm C Blumer; Donna K Slonim
Journal:  Bioinformatics       Date:  2011-03-02       Impact factor: 6.937

9.  The protein interaction network of bacteriophage lambda with its host, Escherichia coli.

Authors:  Sonja Blasche; Stefan Wuchty; Seesandra V Rajagopala; Peter Uetz
Journal:  J Virol       Date:  2013-09-18       Impact factor: 5.103

10.  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

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