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Rice global gene expression profile in response to plant hormones


ABSTRACT: A time course gene expression profiling of rice treated with various plant hormones (abscisic acid, gibberelin, auxin, brassinosteroid, cytokinin and jasmonic acid) was performed to obtain an overall signature of the rice transcriptome in response to each phytohormone. The transcriptome of rice seedlings treated with various plant hormones such as abscisic acid (ABA), gibberellic acid 3 (GA3), indole-3-acetic acid (IAA), brassinolide (BL), trans-zeatin (tZ), and jasmonic acid (JA) was characterized by microarray analysis. Seven-day old seedlings were transferred in culture solutions with specific hormones and in culture solution without hormone to serve as control (mock treatment). Root samples were collected and analyzed in three replicates at pretreatment (control) and after 15 min, 30 min, 1 h, 3 h and 6 h incubation in culture solutions with each hormone. Shoot samples were collected and analyzed in two replicates at pretreatment (control) and after 1 h, 3 h, 6 h and 12 h incubation culture solutions with each hormone. A total of 93 microarray data for root and 50 microarray data for shoot were obtained.

ORGANISM(S): Oryza sativa Japonica Group

SUBMITTER: Yutaka Sato 

PROVIDER: E-GEOD-39429 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

RiceFREND: a platform for retrieving coexpressed gene networks in rice.

Sato Yutaka Y   Namiki Nobukazu N   Takehisa Hinako H   Kamatsuki Kaori K   Minami Hiroshi H   Ikawa Hiroshi H   Ohyanagi Hajime H   Sugimoto Kazuhiko K   Itoh Jun-Ichi J   Antonio Baltazar A BA   Nagamura Yoshiaki Y  

Nucleic acids research 20121124 Database issue


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 27 201 genes was performed against 815 microarray data derived from expression profiling of various organs  ...[more]

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