The topology of the transcription regulatory network in the yeast, S. cerevisiae

Details The topology of the transcription regulatory network in the yeast, S. cerevisiae The topology of the transcription regulatory network in the yeast, S. cerevisiae

2002-05-09

arxiv.org/abs/cond-mat/0205181v2

Physica A, vol. 318/3-4 (2003) pp. 601-612

Physics

Condensed Matter

Statistical Mechanics

23 pages (include 4 composite figures), corrections added http://angel.elte.hu/bioinf

Scientific paper

10.1016/S0378-4371(02)01731-4

MOTIVATION: A central goal of postgenomic biology is the elucidation of the regulatory relationships among all cellular constituents that together comprise the 'genetic network' of a cell or microorganism. Experimental manipulation of gene activity coupled with the assessment of perturbed transcriptome (i. e., global mRNA expression) patterns represents one approach toward this goal, and may provide a backbone into which other measurements can be later integrated. RESULT: We use microarray data on 287 single gene deletion Saccharomyces cerevisiae mutant strains to elucidate generic relationships among perturbed transcriptomes. Their comparison with a method that preferentially recognizes distinct expression subpatterns allows us to pair those transcriptomes that share localized similarities. Analyses of the resulting transcriptome similarity network identify a continuum hierarchy among the deleted genes, and in the frequency of local similarities that establishes the links among their reorganized transcriptomes. We also find a combinatorial utilization of shared expression subpatterns within individual links, with increasing quantitative similarity among those that connect transcriptome states induced by the deletion of functionally related gene products. This suggests a distinct hierarchical and combinatorial organization of the S. cerevisiae transcriptional activity, and may represent a pattern that is generic to the transcriptional organization of all eukaryotic organisms. AVAILABILITY: Detailed analyses of the comparison method and free software are available from the authors and at http://angel.elte.hu/bioinf

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