PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A gene expression map of Arabidopsis thaliana development
M. Schmid, T.S. Davison, S.R. Henz, U.J. Pape, M. Demar, M. Vingron, Bernhard Schölkopf, D. Weigel and J.U. Lohmann
Nature Genetics Volume 37, Number 5, pp. 501-506, 2005.

Abstract

Regulatory regions of plant genes tend to be more compact than those of animal genes, but the complement of transcription factors encoded in plant genomes is as large or larger than that found in those of animals. Plants therefore provide an opportunity to study how transcriptional programs control multicellular development. We analyzed global gene expression during development of the reference plant Arabidopsis thaliana in samples covering many stages, from embryogenesis to senescence, and diverse organs. Here, we provide a first analysis of this data set, which is part of the AtGenExpress expression atlas. We observed that the expression levels of transcription factor genes and signal transduction components are similar to those of metabolic genes. Examining the expression patterns of large gene families, we found that they are often more similar than would be expected by chance, indicating that many gene families have been co-opted for specific developmental processes.

EPrint Type:Article
Additional Information:[Note: advance online publication available too]
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:1017
Deposited By:Bernhard Schölkopf
Deposited On:16 July 2005