Sequential logic model deciphers dynamic transcriptional control of gene expressions.

ABSTRACT:

Background

Cellular signaling involves a sequence of events from ligand binding to membrane receptors through transcription factors activation and the induction of mRNA expression. The transcriptional-regulatory system plays a pivotal role in the control of gene expression. A novel computational approach to the study of gene regulation circuits is presented here.

Methodology

Based on the concept of finite state machine, which provides a discrete view of gene regulation, a novel sequential logic model (SLM) is developed to decipher control mechanisms of dynamic transcriptional regulation of gene expressions. The SLM technique is also used to systematically analyze the dynamic function of transcriptional inputs, the dependency and cooperativity, such as synergy effect, among t

SUBMITTER: Yeo ZX 

PROVIDER: S-EPMC1945082 | biostudies-literature | 2007 Aug

REPOSITORIES: biostudies-literature