Predictive models of molecular machines involved in Caenorhabditis elegans early embryogenesis

Kristin C. Gunsalus, Hui Ge, Aaron J. Schetter, Debra S. Goldberg, Jing Dong J Han, Tong Hao, Gabriel F. Berriz, Nicolas Bertin, Jerry Huang, Ling Shiang Chuang, Ning Li, Ramamurthy Mani, Anthony A. Hyman, Birte Sönnichsen, Christophe J. Echeverri, Frederick P. Roth, Marc Vidal, Fabio Piano

Research output: Contribution to journalArticlepeer-review


Although numerous fundamental aspects of development have been uncovered through the study of individual genes and proteins, system-level models are still missing for most developmental processes. The first two cell divisions of Caenorhabditis elegans embryogenesis constitute an ideal test bed for a system-level approach. Early embryogenesis, including processes such as cell division and establishment of cellular polarity, is readily amenable to large-scale functional analysis. A first step toward a system-level understanding is to provide 'first-draft' models both of the molecular assemblies involved and of the functional connections between them. Here we show that such models can be derived from an integrated gene/protein network generated from three different types of functional relationship: protein interaction, expression profiling similarity and phenotypic profiling similarity, as estimated from detailed early embryonic RNA interference phenotypes systematically recorded for hundreds of early embryogenesis genes. The topology of the integrated network suggests that C. elegans early embryogenesis is achieved through coordination of a limited set of molecular machines. We assessed the overall predictive value of such molecular machine models by dynamic localization of ten previously uncharacterized proteins within the living embryo.

Original languageEnglish (US)
Pages (from-to)861-865
Number of pages5
Issue number7052
StatePublished - Aug 11 2005

ASJC Scopus subject areas

  • General


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