Title
Thermodynamics-Based Models Of Transcriptional Regulation By Enhancers: The Roles Of Synergistic Activation, Cooperative Binding And Short-Range Repression
Abstract
Quantitative models of cis-regulatory activity have the potential to improve our mechanistic understanding of transcriptional regulation. However, the few models available today have been based on simplistic assumptions about the sequences being modeled, or heuristic approximations of the underlying regulatory mechanisms. We have developed a thermodynamics-based model to predict gene expression driven by any DNA sequence, as a function of transcription factor concentrations and their DNA-binding specificities. It uses statistical thermodynamics theory to model not only protein-DNA interaction, but also the effect of DNA-bound activators and repressors on gene expression. In addition, the model incorporates mechanistic features such as synergistic effect of multiple activators, short range repression, and cooperativity in transcription factor-DNA binding, allowing us to systematically evaluate the significance of these features in the context of available expression data. Using this model on segmentation-related enhancers in Drosophila, we find that transcriptional synergy due to simultaneous action of multiple activators helps explain the data beyond what can be explained by cooperative DNA-binding alone. We find clear support for the phenomenon of short-range repression, where repressors do not directly interact with the basal transcriptional machinery. We also find that the binding sites contributing to an enhancer's function may not be conserved during evolution, and a noticeable fraction of these undergo lineage-specific changes. Our implementation of the model, called GEMSTAT, is the first publicly available program for simultaneously modeling the regulatory activities of a given set of sequences.
Year
DOI
Venue
2010
10.1371/journal.pcbi.1000935
PLOS COMPUTATIONAL BIOLOGY
Keywords
Field
DocType
dna,transcription factor,gene expression regulation,algorithms,dna sequence,gene expression,thermodynamics,transcription regulation,protein dna interaction,transcription factors,binding site,computational biology
Psychological repression,Cooperativity,Thermodynamics,Transcriptional regulation,Transcription (biology),Repressor,Biology,Regulation of gene expression,Bioinformatics,Genetics,Enhancer,Transcription factor
Journal
Volume
Issue
ISSN
6
9
1553-734X
Citations 
PageRank 
References 
12
0.81
6
Authors
4
Name
Order
Citations
PageRank
Xin He1120.81
Md. Abul Hassan Samee2193.20
Charles Blatti3162.23
Saurabh Sinha452948.96