RiceFREND: A platform for retrieving coexpressed gene networks in rice

Yutaka Sato, Nobukazu Namiki, Hinako Takehisa, Kaori Kamatsuki, Hiroshi Minami, Hiroshi Ikawa, Hajime Ohyanagi, Kazuhiko Sugimoto, Jun Ichi Itoh, Baltazar A. Antonio*, Yoshiaki Nagamura

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

75 Scopus citations

Abstract

Similarity of gene expression across a wide range of biological conditions can be efficiently used in characterization of gene function. We have constructed a rice gene coexpression database, RiceFREND (http://ricefrend.dna. affrc.go.jp/), to identify gene modules with similar expression profiles and provide a platform for more accurate prediction of gene functions. Coexpression analysis of 27201 genes was performed against 815 microarray data derived from expression profiling of various organs and tissues at different developmental stages, mature organs throughout the growth from transplanting until harvesting in the field and plant hormone treatment conditions, using a single microarray platform. The database is provided with two search options, namely, 'single guide gene search' and 'multiple guide gene search' to efficiently retrieve information on coexpressed genes. A user-friendly web interface facilitates visualization and interpretation of gene coexpression networks in HyperTree, Cytoscape Web and Graphviz formats. In addition, analysis tools for identification of enriched Gene Ontology terms and cis-elements provide clue for better prediction of biological functions associated with the coexpressed genes. These features allow users to clarify gene functions and gene regulatory networks that could lead to a more thorough understanding of many complex agronomic traits.

Original languageEnglish (US)
JournalNucleic acids research
Volume41
Issue numberD1
DOIs
StatePublished - Jan 1 2013

ASJC Scopus subject areas

  • Genetics

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