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A map of the interactome network of the metazoan C. elegans.

To initiate studies on how protein-protein interaction (or "interactome") networks relate to multicellular functions, we have mapped a large fraction of the Caenorhabditis elegans interactome network. Starting with a subset of metazoan-specific proteins, more than 4000 interactions were identified from high-throughput, yeast two-hybrid (HT=Y2H) screens. Independent coaffinity purification assays experimentally validated the overall quality of this Y2H data set. Together with already described Y2H interactions and interologs predicted in silico, the current version of the Worm Interactome (WI5) map contains approximately 5500 interactions. Topological and biological features of this interactome network, as well as its integration with phenome and transcriptome data sets, lead to numerous biological hypotheses.

Pubmed ID: 14704431

Authors

  • Li S
  • Armstrong CM
  • Bertin N
  • Ge H
  • Milstein S
  • Boxem M
  • Vidalain PO
  • Han JD
  • Chesneau A
  • Hao T
  • Goldberg DS
  • Li N
  • Martinez M
  • Rual JF
  • Lamesch P
  • Xu L
  • Tewari M
  • Wong SL
  • Zhang LV
  • Berriz GF
  • Jacotot L
  • Vaglio P
  • Reboul J
  • Hirozane-Kishikawa T
  • Li Q
  • Gabel HW
  • Elewa A
  • Baumgartner B
  • Rose DJ
  • Yu H
  • Bosak S
  • Sequerra R
  • Fraser A
  • Mango SE
  • Saxton WM
  • Strome S
  • Van Den Heuvel S
  • Piano F
  • Vandenhaute J
  • Sardet C
  • Gerstein M
  • Doucette-Stamm L
  • Gunsalus KC
  • Harper JW
  • Cusick ME
  • Roth FP
  • Hill DE
  • Vidal M

Journal

Science (New York, N.Y.)

Publication Data

January 23, 2004

Associated Grants

  • Agency: NIA NIH HHS, Id: R01 AG011085
  • Agency: NIGMS NIH HHS, Id: R01 GM034059
  • Agency: NIGMS NIH HHS, Id: R01 GM034059-18

Mesh Terms

  • Animals
  • Caenorhabditis elegans
  • Caenorhabditis elegans Proteins
  • Computational Biology
  • Evolution, Molecular
  • Genes, Helminth
  • Genomics
  • Open Reading Frames
  • Phenotype
  • Protein Binding
  • Proteome
  • Transcription, Genetic
  • Two-Hybrid System Techniques