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Integration of Arabidopsis thaliana stress-related transcript profiles, promoter structures, and cell-specific expression

Shisong Ma¹^,2 and Hans J Bohnert²^,3

¹Physiological and Molecular Plant Biology Graduate Program, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

²Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

³Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA

author email corresponding author email

Genome Biology 2007, 8:R49doi:10.1186/gb-2007-8-4-r49


Published:	4 April 2007

Subject areas: Plant biology, Genome studies, Cell biology, Molecular biology

Additional files

Additional data file 1:

Microarray datasets used for this analysis, including the descriptions of the treatments and conditions. The data come from AtGenExpress (abiotic and biotic stresses, elicitor treatments, hormone treatments, organ-specific expression), and transcription data in different cell lineages and developmental stages of the root.

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Additional data file 2:

Stress datasets used for Fuzzy K-means analysis.

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Additional data file 3:

Clustering results of all stress datasets.

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Additional data file 4:

Comparison between clusters N6 and N53 (legend as in Figure 2).

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Additional data file 5:

All genes in the common stresses response cluster N12.

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Additional data file 6:

Original data for gene expression in roots.

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Additional data file 7:

Processed root dataset used for fuzzy k-means analysis.

Format: TXT Size: 751KB Download file

Additional data file 8:

Clustering results for the root dataset.

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Additional data file 9:

Intersection between stress clustering and root clustering.

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Additional data file 10:

Clustering results for abiotic stresses in roots.

Format: TXT Size: 273KB Download file