Cosplicing network analysis of mammalian brain RNA-Seq data utilizing WGCNA and Mantel correlations.

ABSTRACT: Across species and tissues and especially in the mammalian brain, production of gene isoforms is widespread. While gene expression coordination has been previously described as a scale-free coexpression network, the properties of transcriptome-wide isoform production coordination have been less studied. Here we evaluate the system-level properties of cosplicing in mouse, macaque, and human brain gene expression data using a novel network inference procedure. Genes are represented as vectors/lists of exon counts and distance measures sensitive to exon inclusion rates quantifies differences across samples. For all gene pairs, distance matrices are correlated across samples, resulting in cosplicing or cotranscriptional network matrices. We show that networks including cosplicing information a

SUBMITTER: Iancu OD 

PROVIDER: S-EPMC4429622 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature