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  Identification of genes required for cellulose synthesis by regression analysis of public microarray data sets

Persson, S., Wei, H. R., Milne, J., Page, G. P., & Somerville, C. R. (2005). Identification of genes required for cellulose synthesis by regression analysis of public microarray data sets. Proceedings of the National Academy of Sciences of the United States of America, 102(24), 8633-8638. doi:10.1073/pnas.0503392102.

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Persson-2005-Identification of ge.pdf (Any fulltext), 372KB
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Persson, S.1, Author              
Wei, H. R.1, Author
Milne, J.1, Author
Page, G. P.1, Author
Somerville, C. R.1, Author
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1External Organizations, ou_persistent22              

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Free keywords: arabidopsis cell wall xylem coexpression secondary cell-wall arabidopsis encodes expression protein biosynthesis expansion mutants annotation elongation
 Abstract: Coexpression patterns of gene expression across many microarray data sets may reveal networks of genes involved in linked processes. To identify factors involved in cellulose biosynthesis, we used a regression method to analyze 408 publicly available Affymetrix Arabidopsis microarrays. Expression of genes previously implicated in cellulose synthesis, as well as several uncharacterized genes, was highly coregulated with expression of cellulose synthase (CESA) genes. Four candidate genes, which were coexpressed with CESA genes implicated in secondary cell wall synthesis, were investigated by mutant analysis. Two mutants exhibited irregular xylem phenotypes similar to those observed in mutants with defects in secondary cellulose synthesis and were designated irx8 and irx13. Thus, the general approach developed here is useful for identification of elements of multicomponent processes.

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Language(s): eng - English
 Dates: 2005-06-042005
 Publication Status: Published in print
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 Identifiers: ISI: ISI:000229807200043
DOI: 10.1073/pnas.0503392102
ISSN: 0027-8424 (Print) 0027-8424 (Linking)
URI: ://000229807200043 http://www.pnas.org/content/102/24/8633.full.pdf
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Title: Proceedings of the National Academy of Sciences of the United States of America
Source Genre: Journal
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Pages: - Volume / Issue: 102 (24) Sequence Number: - Start / End Page: 8633 - 8638 Identifier: -