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

Ovidiu Iancu, Alexandre Colville, Denesa Oberbeck, Priscila Darakjian, Shannon McWeeney, Robert Hitzemann

Research output: Contribution to journalArticle

20 Citations (Scopus)

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 are scale-free and distinct from coexpression. In the networks capturing cosplicing we find a set of novel hubs with unique characteristics distinguishing them from coexpression hubs: heavy representation in neurobiological functional pathways, strong overlap with markers of neurons and neuroglia, long coding lengths, and high number of both exons and annotated transcripts. Further, the cosplicing hubs are enriched in genes associated with autism spectrum disorders. Cosplicing hub homologs across eukaryotes show dramatically increasing intronic lengths but stable coding region lengths. Shared transcription factor binding sites increase coexpression but not cosplicing; the reverse is true for splicing-factor binding sites. Genes with protein-protein interactions have strong coexpression and cosplicing. Additional factors affecting the networks include shared microRNA binding sites, spatial colocalization within the striatum, and sharing a chromosomal folding domain. Cosplicing network patterns remain relatively stable across species.

Original languageEnglish (US)
Article number174
JournalFrontiers in Genetics
Volume6
Issue numberMAY
DOIs
StatePublished - 2015

Fingerprint

RNA
Exons
Binding Sites
Brain
Genes
Protein Isoforms
Gene Expression
Macaca
Eukaryota
MicroRNAs
Transcriptome
Neuroglia
Proteins
Transcription Factors
Neurons
RNA Splicing Factors
Autism Spectrum Disorder

Keywords

  • Alternative splicing
  • Brain transcriptome
  • Gene coexpression
  • Gene cosplicing
  • Scale-free gene networks

ASJC Scopus subject areas

  • Genetics
  • Molecular Medicine
  • Genetics(clinical)

Cite this

Cosplicing network analysis of mammalian brain RNA-Seq data utilizing WGCNA and Mantel correlations. / Iancu, Ovidiu; Colville, Alexandre; Oberbeck, Denesa; Darakjian, Priscila; McWeeney, Shannon; Hitzemann, Robert.

In: Frontiers in Genetics, Vol. 6, No. MAY, 174, 2015.

Research output: Contribution to journalArticle

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