The topology of the transcription regulatory network in the yeast, S. cerevisiae
I.J. Farkas, H. Jeong, T. Vicsek, A.-L. Barabasi, Z.N. Oltvai

TL;DR
This study maps the transcription regulatory network in yeast by analyzing gene deletion mutants and transcriptome similarities, revealing a hierarchical and combinatorial organization of gene regulation.
Contribution
It introduces a novel network analysis method based on transcriptome similarity, uncovering hierarchical and combinatorial patterns in yeast gene regulation.
Findings
Identified a continuum hierarchy among deleted genes.
Revealed a combinatorial utilization of shared expression subpatterns.
Suggested a hierarchical and combinatorial organization of transcriptional activity.
Abstract
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
