Differential gene regulatory networks in development and disease.

Differential gene regulatory networks in development and disease.
Cell Mol Life Sci. 2017 Oct 10;:
Authors: Singh AJ, Ramsey SA, Filtz TM, Kioussi C
Abstract
Gene regulatory networks, in which differential expression of regulator genes induce differential expression of their target genes, underlie diverse biological processes such as embryonic development, organ formation and disease pathogenesis. An archetypical systems biology approach to mapping these networks involves the combined application of (1) high-throughput sequencing-based transcriptome profiling (RNA-seq) of biopsies under diverse network perturbations and (2) network inference based on gene-gene expression correlation analysis. The comparative analysis of such correlation networks across cell types or states, differential correlation network analysis, can identify specific molecular signatures and functional modules that underlie the state transition or have context-specific function. Here, we review the basic concepts of network biology and correlation network inference, and the prevailing methods for differential analysis of correlation networks. We discuss applications of gene expression network analysis in the context of embryonic development, cancer, and congenital diseases.
PMID: 29018868 [PubMed - as supplied by publisher]

Source: Cellular and Molecular Life Sciences : CMLS - October 10, 2017 Category: Cytology Authors: Singh AJ, Ramsey SA, Filtz TM, Kioussi C Tags: Cell Mol Life Sci Source Type: research