Literature DB >> 12923548

Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages.

Shailesh V Date1, Edward M Marcotte.   

Abstract

We introduce a general computational method, applicable on a genome-wide scale, for the systematic discovery of uncharacterized cellular systems. Quantitative analysis of the coinheritance of pairs of genes among different organisms, calculated using phylogenetic profiles, allows the prediction of thousands of functional linkages between the corresponding proteins. A comparison of these functional linkages to known pathways reveals that calculated linkages are comparable in accuracy to genome-wide yeast two-hybrid screens or mass spectrometry interaction assays. In aggregate, these linkages describe the structure of large-scale networks, with the resulting yeast network composed of 3,875 linkages among 804 proteins, and the resulting pathogenic Escherichia coli network composed of 2,043 linkages among 828 proteins. The search of such networks for groups of uncharacterized, linked proteins led to the identification of 27 novel cellular systems from one nonpathogenic and three pathogenic bacterial genomes.

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Year:  2003        PMID: 12923548     DOI: 10.1038/nbt861

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  76 in total

1.  Predicting genetic modifier loci using functional gene networks.

Authors:  Insuk Lee; Ben Lehner; Tanya Vavouri; Junha Shin; Andrew G Fraser; Edward M Marcotte
Journal:  Genome Res       Date:  2010-06-09       Impact factor: 9.043

2.  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

3.  Identification and analysis of evolutionarily cohesive functional modules in protein networks.

Authors:  Mónica Campillos; Christian von Mering; Lars Juhl Jensen; Peer Bork
Journal:  Genome Res       Date:  2006-01-31       Impact factor: 9.043

4.  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 5.  Practical and theoretical advances in predicting the function of a protein by its phylogenetic distribution.

Authors:  Philip R Kensche; Vera van Noort; Bas E Dutilh; Martijn A Huynen
Journal:  J R Soc Interface       Date:  2008-02-06       Impact factor: 4.118

6.  A complex-based reconstruction of the Saccharomyces cerevisiae interactome.

Authors:  Haidong Wang; Boyko Kakaradov; Sean R Collins; Lena Karotki; Dorothea Fiedler; Michael Shales; Kevan M Shokat; Tobias C Walther; Nevan J Krogan; Daphne Koller
Journal:  Mol Cell Proteomics       Date:  2009-01-27       Impact factor: 5.911

Review 7.  'Unknown' proteins and 'orphan' enzymes: the missing half of the engineering parts list--and how to find it.

Authors:  Andrew D Hanson; Anne Pribat; Jeffrey C Waller; Valérie de Crécy-Lagard
Journal:  Biochem J       Date:  2009-12-14       Impact factor: 3.857

8.  Testing the accuracy of eukaryotic phylogenetic profiles for prediction of biological function.

Authors:  Saurav Singh; Dennis P Wall
Journal:  Evol Bioinform Online       Date:  2008-06-18       Impact factor: 1.625

9.  Integrating diverse information to gain more insight into microarray analysis.

Authors:  Raja Loganantharaj; Jun Chung
Journal:  J Biomed Biotechnol       Date:  2009-10-12

10.  Comparison of eukaryotic phylogenetic profiling approaches using species tree aware methods.

Authors:  Valentín Ruano-Rubio; Olivier Poch; Julie D Thompson
Journal:  BMC Bioinformatics       Date:  2009-11-24       Impact factor: 3.169

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