| Literature DB >> 26871637 |
Xinping Yang1, Jasmin Coulombe-Huntington2, Shuli Kang3, Gloria M Sheynkman4, Tong Hao4, Aaron Richardson4, Song Sun5, Fan Yang6, Yun A Shen4, Ryan R Murray7, Kerstin Spirohn4, Bridget E Begg4, Miquel Duran-Frigola8, Andrew MacWilliams7, Samuel J Pevzner9, Quan Zhong7, Shelly A Trigg7, Stanley Tam7, Lila Ghamsari7, Nidhi Sahni4, Song Yi4, Maria D Rodriguez7, Dawit Balcha4, Guihong Tan10, Michael Costanzo10, Brenda Andrews11, Charles Boone11, Xianghong J Zhou12, Kourosh Salehi-Ashtiani7, Benoit Charloteaux4, Alyce A Chen4, Michael A Calderwood4, Patrick Aloy13, Frederick P Roth14, David E Hill4, Lilia M Iakoucheva15, Yu Xia16, Marc Vidal17.
Abstract
While alternative splicing is known to diversify the functional characteristics of some genes, the extent to which protein isoforms globally contribute to functional complexity on a proteomic scale remains unknown. To address this systematically, we cloned full-length open reading frames of alternatively spliced transcripts for a large number of human genes and used protein-protein interaction profiling to functionally compare hundreds of protein isoform pairs. The majority of isoform pairs share less than 50% of their interactions. In the global context of interactome network maps, alternative isoforms tend to behave like distinct proteins rather than minor variants of each other. Interaction partners specific to alternative isoforms tend to be expressed in a highly tissue-specific manner and belong to distinct functional modules. Our strategy, applicable to other functional characteristics, reveals a widespread expansion of protein interaction capabilities through alternative splicing and suggests that many alternative "isoforms" are functionally divergent (i.e., "functional alloforms").Entities:
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Year: 2016 PMID: 26871637 PMCID: PMC4882190 DOI: 10.1016/j.cell.2016.01.029
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582