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dc.contributor.authorLiu, Y
dc.contributor.authorGonzàlez-Porta, M
dc.contributor.authorSantos, S
dc.contributor.authorBrazma, A
dc.contributor.authorMarioni, John
dc.contributor.authorAebersold, R
dc.contributor.authorVenkitaraman, Ashok
dc.contributor.authorWickramasinghe, VO
dc.date.accessioned2017-09-26T08:02:42Z
dc.date.available2017-09-26T08:02:42Z
dc.date.issued2017-08-01
dc.identifier.issn2211-1247
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/267388
dc.description.abstractAlternative splicing is a critical determinant of genome complexity and, by implication, is assumed to engender proteomic diversity. This notion has not been experimentally tested in a targeted, quantitative manner. Here, we have developed an integrative approach to ask whether perturbations in mRNA splicing patterns alter the composition of the proteome. We integrate RNA sequencing (RNA-seq) (to comprehensively report intron retention, differential transcript usage, and gene expression) with a data-independent acquisition (DIA) method, SWATH-MS (sequential window acquisition of all theoretical spectra-mass spectrometry), to capture an unbiased, quantitative snapshot of the impact of constitutive and alternative splicing events on the proteome. Whereas intron retention is accompanied by decreased protein abundance, alterations in differential transcript usage and gene expression alter protein abundance proportionate to transcript levels. Our findings illustrate how RNA splicing links isoform expression in the human transcriptome with proteomic diversity and provides a foundation for studying perturbations associated with human diseases.
dc.description.sponsorshipWe gratefully acknowledge funding from the EMBL (to M.G.-P. and J.C.M.), the NIH (U01CA152813 to Y.S.L. and R.A.), the ERC (AdG-670821 [Proteomics 4D] to R.A.), the Swiss National Science Foundation (31003A_166435 to R.A.), SystemsX.ch through project PhosphonetX-PPM (to R.A.), the UK Medical Research Council (G1001521, G1001522, and 4050551988 to A.R.V.), and the NHMRC (1127745 to V.O.W.). V.O.W. is supported by an innovation fellowship from VESKI.
dc.languageeng
dc.language.isoen
dc.publisherElsevier
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rightsAttribution 4.0 International
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectRNA
dc.subjectalternative splicing
dc.subjectproteomics
dc.titleImpact of Alternative Splicing on the Human Proteome
dc.typeArticle
prism.endingPage1241
prism.issueIdentifier5
prism.publicationDate2017
prism.publicationNameCell Reports
prism.startingPage1229
prism.volume20
dc.identifier.doi10.17863/CAM.13370
dcterms.dateAccepted2017-07-12
rioxxterms.versionofrecord10.1016/j.celrep.2017.07.025
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
rioxxterms.licenseref.startdate2017-08-01
dc.contributor.orcidMarioni, John [0000-0001-9092-0852]
dc.identifier.eissn2211-1247
rioxxterms.typeJournal Article/Review
pubs.funder-project-idMedical Research Council (MC_UU_12022/1)
pubs.funder-project-idMedical Research Council (G1001522)
pubs.funder-project-idMedical Research Council (G1001521)
cam.issuedOnline2017-08-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International