Title
Dynamic changes in subgraph preference profiles of crucial transcription factors.
Abstract
Transcription factors with a large number of target genes - transcription hub( s), or THub( s) - are usually crucial components of the regulatory system of a cell, and the different patterns through which they transfer the transcriptional signal to downstream cascades are of great interest. By profiling normalized abundances ( AN) of basic regulatory patterns of individual THubs in the yeast Saccharomyces cerevisiae transcriptional regulation network under five different cellular states and environmental conditions, we have investigated their preferences for different basic regulatory patterns. Subgraph-normalized abundances downstream of individual THubs often differ significantly from that of the network as a whole, and conversely, certain over-represented subgraphs are not preferred by any THub. The THub preferences changed substantially when the cellular or environmental conditions changed. This switching of regulatory pattern preferences suggests that a change in conditions does not only elicit a change in response by the regulatory network, but also a change in the mechanisms by which the response is mediated. The THub subgraph preference profile thus provides a novel tool for description of the structure and organization between the large- scale exponents and local regulatory patterns.
Year
DOI
Venue
2006
10.1371/journal.pcbi.0020047
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
gene transcription,transcription factors,transcription factor,transcription regulation,cell cycle
Transcriptional regulation,Gene targeting,Transcription (biology),Biology,Regulation of gene expression,Bioinformatics,Saccharomyces cerevisiae,Gene regulatory network,Genetics,Transcription factor
Journal
Volume
Issue
ISSN
2
5
1553-734X
Citations 
PageRank 
References 
5
0.45
3
Authors
11
Name
Order
Citations
PageRank
Zhihua Zhang119845.87
Changning Liu218315.24
Geir Skogerbø318613.94
Xiaopeng Zhu4795.85
Hongchao Lu5583.73
Lan Chen6212.25
Baochen Shi7522.93
Yong Zhang813913.89
Jie Wang9634.07
Tao Wu10232.29
Runsheng Chen1140431.48