Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Plant Cell Physiol. 2007 Mar;48(3):381-90. Epub 2007 Jan 23.

Approaches for extracting practical information from gene co-expression networks in plant biology.

Author information

  • 1Kazusa DNA Research Institute, Kazusa-Kamatari 2-6-7, Kisarazu, 292-0818, Japan.

Abstract

Gene co-expression, in many cases, implies the presence of a functional linkage between genes. Co-expression analysis has uncovered gene regulatory mechanisms in model organisms such as Escherichia coli and yeast. Recently, accumulation of Arabidopsis microarray data has facilitated a genome-wide inspection of gene co-expression profiles in this model plant. An approach using network analysis has provided an intuitive way to represent complex co-expression patterns between many genes. Co-expression network analysis has enabled us to extract modules, or groups of tightly co-expressed genes, associated with biological processes. Furthermore, integrated analysis of gene expression and metabolite accumulation has allowed us to hypothesize the functions of genes associated with specific metabolic processes. Co-expression network analysis is a powerful approach for data-driven hypothesis construction and gene prioritization, and provides novel insights into the system-level understanding of plant cellular processes.

PMID:
17251202
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for HighWire
    Loading ...
    Write to the Help Desk