Literature DB >> 11522820

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

A Grigoriev1.   

Abstract

The relationship between the similarity of expression patterns for a pair of genes and interaction of the proteins they encode is demonstrated both for the simple genome of the bacteriophage T7 and the considerably more complex genome of the yeast Saccharomyces cerevisiae. Statistical analysis of large-scale gene expression and protein interaction data shows that protein pairs encoded by co-expressed genes interact with each other more frequently than with random proteins. Furthermore, the mean similarity of expression profiles is significantly higher for respective interacting protein pairs than for random ones. Such coupled analysis of gene expression and protein interaction data may allow evaluation of the results of large-scale gene expression and protein interaction screens as demonstrated for several publicly available datasets. The role of this link between expression and interaction in the evolution from monomeric to oligomeric protein structures is also discussed.

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Year:  2001        PMID: 11522820      PMCID: PMC55876          DOI: 10.1093/nar/29.17.3513

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


  30 in total

1.  Protein interaction maps for complete genomes based on gene fusion events.

Authors:  A J Enright; I Iliopoulos; N C Kyrpides; C A Ouzounis
Journal:  Nature       Date:  1999-11-04       Impact factor: 49.962

2.  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

3.  Automatic extraction of biological information from scientific text: protein-protein interactions.

Authors:  C Blaschke; M A Andrade; C Ouzounis; A Valencia
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1999

4.  Detecting protein function and protein-protein interactions from genome sequences.

Authors:  E M Marcotte; M Pellegrini; H L Ng; D W Rice; T O Yeates; D Eisenberg
Journal:  Science       Date:  1999-07-30       Impact factor: 47.728

5.  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

6.  A network of protein-protein interactions in yeast.

Authors:  B Schwikowski; P Uetz; S Fields
Journal:  Nat Biotechnol       Date:  2000-12       Impact factor: 54.908

7.  Mutations induced by bacteriophage T7 RNA polymerase and their effects on the composition of the T7 genome.

Authors:  A Beletskii; A Grigoriev; S Joyce; A S Bhagwat
Journal:  J Mol Biol       Date:  2000-07-28       Impact factor: 5.469

8.  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

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.  Crystal structure of the Holliday junction resolving enzyme T7 endonuclease I.

Authors:  J M Hadden; M A Convery; A C Déclais; D M Lilley; S E Phillips
Journal:  Nat Struct Biol       Date:  2001-01
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  83 in total

1.  Interaction generality, a measurement to assess the reliability of a protein-protein interaction.

Authors:  Rintaro Saito; Harukazu Suzuki; Yoshihide Hayashizaki
Journal:  Nucleic Acids Res       Date:  2002-03-01       Impact factor: 16.971

2.  Statistical inference and reverse engineering of gene regulatory networks from observational expression data.

Authors:  Frank Emmert-Streib; Galina V Glazko; Gökmen Altay; Ricardo de Matos Simoes
Journal:  Front Genet       Date:  2012-02-03       Impact factor: 4.599

3.  Visualization and interpretation of protein networks in Mycobacterium tuberculosis based on hierarchical clustering of genome-wide functional linkage maps.

Authors:  Michael Strong; Thomas G Graeber; Morgan Beeby; Matteo Pellegrini; Michael J Thompson; Todd O Yeates; David Eisenberg
Journal:  Nucleic Acids Res       Date:  2003-12-15       Impact factor: 16.971

4.  The mammalian protein-protein interaction database and its viewing system that is linked to the main FANTOM2 viewer.

Authors:  Harukazu Suzuki; Rintaro Saito; Mutsumi Kanamori; Chikatoshi Kai; Christian Schönbach; Takeshi Nagashima; Junko Hosaka; Yoshihide Hayashizaki
Journal:  Genome Res       Date:  2003-06       Impact factor: 9.043

5.  Coevolution of gene expression among interacting proteins.

Authors:  Hunter B Fraser; Aaron E Hirsh; Dennis P Wall; Michael B Eisen
Journal:  Proc Natl Acad Sci U S A       Date:  2004-06-02       Impact factor: 11.205

6.  Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction.

Authors:  Esti Yeger-Lotem; Shmuel Sattath; Nadav Kashtan; Shalev Itzkovitz; Ron Milo; Ron Y Pinter; Uri Alon; Hanah Margalit
Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-12       Impact factor: 11.205

Review 7.  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

Review 8.  Proteome-wide prediction of protein-protein interactions from high-throughput data.

Authors:  Zhi-Ping Liu; Luonan Chen
Journal:  Protein Cell       Date:  2012-06-22       Impact factor: 14.870

9.  Salmonid genomes have a remarkably expanded akirin family, coexpressed with genes from conserved pathways governing skeletal muscle growth and catabolism.

Authors:  Daniel J Macqueen; Bjarni K Kristjánsson; Ian A Johnston
Journal:  Physiol Genomics       Date:  2010-04-13       Impact factor: 3.107

10.  Bioinformatics analysis of experimentally determined protein complexes in the yeast Saccharomyces cerevisiae.

Authors:  Zoltán Dezso; Zoltán N Oltvai; Albert-László Barabási
Journal:  Genome Res       Date:  2003-10-14       Impact factor: 9.043

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