A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis

Mike Boxem, Zoltan Maliga, Niels Klitgord, Na Li, Irma Lemmens, Miyeko Mana, Lorenzo de Lichtervelde, Joram D. Mul, Diederik van de Peut, Maxime Devos, Nicolas Simonis, Muhammed A. Yildirim, Murat Cokol, Huey Ling Kao, Anne Sophie de Smet, Haidong Wang, Anne Lore Schlaitz, Tong Hao, Stuart Milstein, Changyu FanMike Tipsword, Kevin Drew, Matilde Galli, Kahn Rhrissorrakrai, David Drechsel, Daphne Koller, Frederick P. Roth, Lilia M. Iakoucheva, A. Keith Dunker, Richard Bonneau, Kristin C. Gunsalus, David E. Hill, Fabio Piano, Jan Tavernier, Sander van den Heuvel, Anthony A. Hyman, Marc Vidal

Research output: Contribution to journalArticlepeer-review

168 Scopus citations

Abstract

Many protein-protein interactions are mediated through independently folding modular domains. Proteome-wide efforts to model protein-protein interaction or "interactome" networks have largely ignored this modular organization of proteins. We developed an experimental strategy to efficiently identify interaction domains and generated a domain-based interactome network for proteins involved in C. elegans early-embryonic cell divisions. Minimal interacting regions were identified for over 200 proteins, providing important information on their domain organization. Furthermore, our approach increased the sensitivity of the two-hybrid system, resulting in a more complete interactome network. This interactome modeling strategy revealed insights into C. elegans centrosome function and is applicable to other biological processes in this and other organisms.

Original languageEnglish (US)
Pages (from-to)534-545
Number of pages12
JournalCell
Volume134
Issue number3
DOIs
StatePublished - Aug 8 2008
Externally publishedYes

Keywords

  • PROTEINS

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology

Fingerprint

Dive into the research topics of 'A Protein Domain-Based Interactome Network for C. elegans Early Embryogenesis'. Together they form a unique fingerprint.

Cite this