Literature DB >> 12853633

On the number of protein-protein interactions in the yeast proteome.

Andrei Grigoriev1.   

Abstract

Using two different approaches, we estimated that on average there are about five interacting partners per protein in the proteome of the yeast Saccharomyces cerevisiae. In the first approach, we used a novel method to model sampling overlap by a Bernoulli process, compared the results of two independent yeast two-hybrid interaction screens and tested the robustness of the estimate. The most stable estimate of five interactors per protein was obtained when the three most highly connected nodes in the protein interaction network were removed from the analysis (eight interactors per protein if those nodes were kept). In the second approach, we analysed a published high-confidence subset of putative interaction data obtained from multiple sources, including large-scale two-hybrid screens, complex purifications, synthetic lethals, correlated gene expression, computational predictions and previous annotations. Strikingly, the estimate was again five interactors per protein. These estimates suggest a range of approximately 16,000-26,000 different interaction pairs in the yeast, excluding homotypic interactions. We also discuss the approaches to estimating the rate of homotypic interactions.

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Year:  2003        PMID: 12853633      PMCID: PMC165980          DOI: 10.1093/nar/gkg466

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  17 in total

1.  A protein-protein interaction map of the Caenorhabditis elegans 26S proteasome.

Authors:  A Davy; P Bello; N Thierry-Mieg; P Vaglio; J Hitti; L Doucette-Stamm; D Thierry-Mieg; J Reboul; S Boulton; A J Walhout; O Coux; M Vidal
Journal:  EMBO Rep       Date:  2001-09       Impact factor: 8.807

Review 2.  Protein--protein interaction maps: a lead towards cellular functions.

Authors:  P Legrain; J Wojcik; J M Gauthier
Journal:  Trends Genet       Date:  2001-06       Impact factor: 11.639

3.  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

4.  A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae.

Authors:  P Uetz; L Giot; G Cagney; T A Mansfield; R S Judson; J R Knight; D Lockshon; V Narayan; M Srinivasan; P Pochart; A Qureshi-Emili; Y Li; B Godwin; D Conover; T Kalbfleisch; G Vijayadamodar; M Yang; M Johnston; S Fields; J M Rothberg
Journal:  Nature       Date:  2000-02-10       Impact factor: 49.962

5.  A relationship between gene expression and protein interactions on the proteome scale: analysis of the bacteriophage T7 and the yeast Saccharomyces cerevisiae.

Authors:  A Grigoriev
Journal:  Nucleic Acids Res       Date:  2001-09-01       Impact factor: 16.971

6.  Integrative analysis of protein interaction data.

Authors:  M Fellenberg; K Albermann; A Zollner; H W Mewes; J Hani
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  2000

7.  A computationally directed screen identifying interacting coiled coils from Saccharomyces cerevisiae.

Authors:  J R Newman; E Wolf; P S Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2000-11-21       Impact factor: 11.205

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.  Analyzing yeast protein-protein interaction data obtained from different sources.

Authors:  Gary D Bader; Christopher W V Hogue
Journal:  Nat Biotechnol       Date:  2002-10       Impact factor: 54.908

Review 10.  Yeast two-hybrid systems and protein interaction mapping projects for yeast and worm.

Authors:  A J Walhout; S J Boulton; M Vidal
Journal:  Yeast       Date:  2000-06-30       Impact factor: 3.239

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  49 in total

Review 1.  Diversity in genetic in vivo methods for protein-protein interaction studies: from the yeast two-hybrid system to the mammalian split-luciferase system.

Authors:  Bram Stynen; Hélène Tournu; Jan Tavernier; Patrick Van Dijck
Journal:  Microbiol Mol Biol Rev       Date:  2012-06       Impact factor: 11.056

2.  A yeast two-hybrid smart-pool-array system for protein-interaction mapping.

Authors:  Fulai Jin; Larisa Avramova; Jing Huang; Tony Hazbun
Journal:  Nat Methods       Date:  2007-04-22       Impact factor: 28.547

3.  Computational approaches for predicting protein-protein interactions: a survey.

Authors:  Jingkai Yu; Farshad Fotouhi
Journal:  J Med Syst       Date:  2006-02       Impact factor: 4.460

4.  A pooling-deconvolution strategy for biological network elucidation.

Authors:  Fulai Jin; Tony Hazbun; Gregory A Michaud; Michael Salcius; Paul F Predki; Stanley Fields; Jing Huang
Journal:  Nat Methods       Date:  2006-03       Impact factor: 28.547

5.  Specificity in protein interactions and its relationship with sequence diversity and coevolution.

Authors:  Luke Hakes; Simon C Lovell; Stephen G Oliver; David L Robertson
Journal:  Proc Natl Acad Sci U S A       Date:  2007-04-27       Impact factor: 11.205

6.  Global networks of functional coupling in eukaryotes from comprehensive data integration.

Authors:  Andrey Alexeyenko; Erik L L Sonnhammer
Journal:  Genome Res       Date:  2009-02-25       Impact factor: 9.043

7.  Protein interaction mapping: a Drosophila case study.

Authors:  Etienne Formstecher; Sandra Aresta; Vincent Collura; Alexandre Hamburger; Alain Meil; Alexandra Trehin; Céline Reverdy; Virginie Betin; Sophie Maire; Christine Brun; Bernard Jacq; Monique Arpin; Yohanns Bellaiche; Saverio Bellusci; Philippe Benaroch; Michel Bornens; Roland Chanet; Philippe Chavrier; Olivier Delattre; Valérie Doye; Richard Fehon; Gérard Faye; Thierry Galli; Jean-Antoine Girault; Bruno Goud; Jean de Gunzburg; Ludger Johannes; Marie-Pierre Junier; Vincent Mirouse; Ashim Mukherjee; Dora Papadopoulo; Franck Perez; Anne Plessis; Carine Rossé; Simon Saule; Dominique Stoppa-Lyonnet; Alain Vincent; Michael White; Pierre Legrain; Jérôme Wojcik; Jacques Camonis; Laurent Daviet
Journal:  Genome Res       Date:  2005-02-14       Impact factor: 9.043

8.  Glycolytic enzymes associate dynamically with mitochondria in response to respiratory demand and support substrate channeling.

Authors:  James W A Graham; Thomas C R Williams; Megan Morgan; Alisdair R Fernie; R George Ratcliffe; Lee J Sweetlove
Journal:  Plant Cell       Date:  2007-11-02       Impact factor: 11.277

9.  Protein-protein interactions essentials: key concepts to building and analyzing interactome networks.

Authors:  Javier De Las Rivas; Celia Fontanillo
Journal:  PLoS Comput Biol       Date:  2010-06-24       Impact factor: 4.475

10.  Evolutionarily conserved herpesviral protein interaction networks.

Authors:  Even Fossum; Caroline C Friedel; Seesandra V Rajagopala; Björn Titz; Armin Baiker; Tina Schmidt; Theo Kraus; Thorsten Stellberger; Christiane Rutenberg; Silpa Suthram; Sourav Bandyopadhyay; Dietlind Rose; Albrecht von Brunn; Mareike Uhlmann; Christine Zeretzke; Yu-An Dong; Hélène Boulet; Manfred Koegl; Susanne M Bailer; Ulrich Koszinowski; Trey Ideker; Peter Uetz; Ralf Zimmer; Jürgen Haas
Journal:  PLoS Pathog       Date:  2009-09-04       Impact factor: 6.823

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