Davis Melissa J, Shin Chang Jin, Jing Ning, Ragan Mark A
Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland 4072, Australia.
Mol Biosyst. 2012 Aug;8(8):2054-66, 2013. doi: 10.1039/c2mb25050k. Epub 2012 Jun 22.
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.
转录组学不断提供越来越多的证据表明,在形态复杂的真核生物中,每个蛋白质编码基因座都能产生多个在长度、外显子含量和/或其他序列特征上存在差异的转录本。在人类中,超过60%的基因座以这种方式产生多个转录本。介导蛋白质-蛋白质相互作用的基序在这些转录本中可能存在或不存在。蛋白质相互作用网络分析是系统生物学中的一项重要进展。虽然探索性转录组学已经揭示了基因在转录本和蛋白质异构体水平上输出的巨大时空多样性,但相互作用通常是针对代表性蛋白质甚至基因进行记录的。高分辨率蛋白质结构的可得性不断提高,使得识别支撑许多蛋白质相互作用的结构域-结构域相互作用成为可能。为了探究转录本和异构体多样性的影响,我们使用全长人类cDNA来研究基因的蛋白质编码转录输出,识别蛋白质相互作用结构域包含情况的变化。我们将这些数据映射到一组高质量的蛋白质相互作用上,并描述可能导致的网络连通性变化。我们发现有强有力的证据表明近20%的基因的相互作用潜力发生了改变,这表明转录变异能够显著重塑人类相互作用组。