Rewiring the dynamic interactome.
Transcriptomics continues to provide ever-more evidence that in morphologically complex eukaryotes, each protein-coding genetic locus can give rise to multiple transcripts that differ in length, exon content and/or other sequence features. In humans, more than 60% of loci give rise to multiple transcripts in this way. Motifs that mediate protein-protein interactions can be present or absent in these transcripts. Analysis of protein interaction networks has been a valuable development in systems biology. Interactions are typically recorded for representative proteins or even genes, although exploratory transcriptomics has revealed great spatiotemporal diversity in the output of genes at both the transcript and protein-isoform levels. The increasing availability of high-resolution protein structures has made it possible to identify the domain-domain interactions that underpin many protein interactions. To explore the impact of transcript and isoform diversity we use full-length human cDNAs to interrogate the protein-coding transcriptional output of genes, identifying variation in the inclusion of protein interaction domains. We map these data to a set of high-quality protein interactions, and characterise the variation in network connectivity likely to result. We find strong evidence for altered interaction potential in nearly 20% of genes, suggesting that transcriptional variation can significantly rewire the human interactome.
Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland 4072, Australia.
Melissa J
MJ
Davis
Chang Jin
CJ
Shin
Ning
N
Jing
Mark A
MA
Ragan
D019295:Computational Biology; D006801:Humans; D025941:Protein Interaction Mapping / Q000379:methods*; D017434:Protein Structure, Tertiary; D011506:Proteins / Q000737:chemistry / Q000378:metabolism; D059467:Transcriptome / Q000235:genetics
D011506:Proteins