Title

Integrating interactome, phenome, and transcriptome mapping data for the C. elegans germline

UMMS Affiliation

Program in Gene Function and Expression; Program in Molecular Medicine

Date

11-26-2002

Document Type

Article

Medical Subject Headings

Animals; Caenorhabditis elegans; Caenorhabditis elegans Proteins; Chromosome Mapping; *Genetic Techniques; Genome; Open Reading Frames; Proteome; *Transcription, Genetic

Disciplines

Genetics and Genomics

Abstract

By integrating functional genomic and proteomic mapping approaches, biological hypotheses should be formulated with increasing levels of confidence. For example, yeast interactome and transcriptome data can be correlated in biologically meaningful ways. Here, we combine interactome mapping data generated for a multicellular organism with data from both large-scale phenotypic analysis ("phenome mapping") and transcriptome profiling. First, we generated a two-hybrid interactome map of the Caenorhabditis elegans germline by using 600 transcripts enriched in this tissue. We compared this map to a phenome map of the germline obtained by RNA interference (RNAi) and to a transcriptome map obtained by clustering worm genes across 553 expression profiling experiments. In this dataset, we find that essential proteins have a tendency to interact with each other, that pairs of genes encoding interacting proteins tend to exhibit similar expression profiles, and that, for approximately 24% of germline interactions, both partners show overlapping embryonic lethal or high incidence of males RNAi phenotypes and similar expression profiles. We propose that these interactions are most likely to be relevant to germline biology. Similar integration of interactome, phenome, and transcriptome data should be possible for other biological processes in the nematode and for other organisms, including humans.

Rights and Permissions

Citation: Curr Biol. 2002 Nov 19;12(22):1952-8. Link to article on publisher's site

Comments

At the time of publication, Albertha J. Marian Walhout was not yet affiliated with the University of Massachusetts Medical School.

Related Resources

Link to Article in PubMed

PubMed ID

12445390