TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network.

ABSTRACT:

Background

Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network topologies using a range of experimental and theoretical methodologies. Less work has focused on using these models to examine how TF networks respond to changes in the cellular environment.

Methods

In this paper, we have developed a simple, pragmatic methodology, TIGERi (Transcription-factor-activity Illustrator for Global Explanation of Regulatory interaction), to model the response of an inferred TF network to changes in cellular environment. The methodology was tested using publicly available data comparing gene expression profiles of a mouse p38α (Mapk14) knock-

SUBMITTER: Han N 

PROVIDER: S-EPMC5471961 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature