Computational Detection of Stage-Specific Transcription Factor Clusters during Heart Development.
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ABSTRACT: Transcription factors (TFs) regulate gene expression in living organisms. In higher organisms, TFs often interact in non-random combinations with each other to control gene transcription. Understanding the interactions is key to decipher mechanisms underlying tissue development. The aim of this study was to analyze co-occurring transcription factor binding sites (TFBSs) in a time series dataset from a new cell-culture model of human heart muscle development in order to identify common as well as specific co-occurring TFBS pairs in the promoter regions of regulated genes which can be essential to enhance cardiac tissue developmental processes. To this end, we separated available RNAseq dataset into five temporally defined groups: (i) mesoderm induction stage; (ii) early cardiac specificatio
SUBMITTER: Zeidler S
PROVIDER: S-EPMC4804722 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
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