Ribosome profiling at isoform level reveals evolutionary conserved impacts of differential splicing on the proteome

dc.contributor.authorReixachs, Marina
dc.contributor.authorRuiz-Orera, Jorge
dc.contributor.authorAlba, M. Mar
dc.contributor.authorEyras, Eduardo
dc.date.accessioned2026-01-28T03:52:45Z
dc.date.available2026-01-28T03:52:45Z
dc.date.issued2020
dc.date.updated2023-10-22T07:15:50Z
dc.description.abstractThe differential production of transcript isoforms from gene loci is a key cellular mechanism. Yet, its impact in protein production remains an open question. Here, we describe ORQAS (ORF quantification pipeline for alternative splicing), a pipeline for the translation quantification of individual transcript isoforms using ribosome-protected mRNA fragments (ribosome profiling). We find evidence of translation for 40-50% of the expressed isoforms in human and mouse, with 53% of the expressed genes having more than one translated isoform in human, and 33% in mouse. Differential splicing analysis revealed that about 40% of the splicing changes at RNA level are concordant with changes in translation. Furthermore, orthologous cassette exons between human and mouse preserve the directionality of the change, and are enriched in microexons in a comparison between glia and glioma. ORQAS leverages ribosome profiling to uncover a widespread and evolutionarily conserved impact of differential splicing on translation, particularly of microexon-containing isoforms.
dc.description.sponsorshipWe acknowledge funding from the Spanish Government and FEDER with grants BFU2015-65235-P, BIO2017-85364-R, and MDM-2014-0370, and by Catalan Government (AGAUR) with grant SGR2017-1020. MR-S had funding from an FI grant from the Catalan Government with reference 2018FI_B1_00126 for part of this work.
dc.format.mimetypeapplication/pdfen_AU
dc.identifier.citationReixachs-Solé, M., Ruiz-Orera, J., Albà, M.M. et al. Ribosome profiling at isoform level reveals evolutionary conserved impacts of differential splicing on the proteome. Nat Commun 11, 1768 (2020). https://doi.org/10.1038/s41467-020-15634-w
dc.identifier.issn2041-1723
dc.identifier.urihttps://hdl.handle.net/1885/733804991
dc.language.isoen_AUen_AU
dc.provenanceThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
dc.publisherSpringer Nature
dc.rights© 2020 The Author(s)
dc.rights.licenseCreative Commons Attribution 4.0 International License
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceNature Communications
dc.titleRibosome profiling at isoform level reveals evolutionary conserved impacts of differential splicing on the proteome
dc.typeJournal article
dcterms.accessRightsOpen Access
local.bibliographicCitation.issue1
local.bibliographicCitation.lastpage12
local.bibliographicCitation.startpage1
local.contributor.affiliationReixachs, Marina, College of Health and Medicine, ANU
local.contributor.affiliationRuiz-Orera, Jorge, Helmholtz Association
local.contributor.affiliationAlba, M. Mar, IMIM - Hospital del Mar Medical Research Institute
local.contributor.affiliationEyras, Eduardo, College of Health and Medicine, ANU
local.contributor.authoruidReixachs, Marina, u6904559
local.contributor.authoruidEyras, Eduardo, u1070301
local.description.notesImported from ARIES
local.identifier.absfor310505 - Gene expression (incl. microarray and other genome-wide approaches)
local.identifier.absfor310509 - Genomics
local.identifier.absfor310204 - Genomics and transcriptomics
local.identifier.absseo280115 - Expanding knowledge in the information and computing sciences
local.identifier.absseo280103 - Expanding knowledge in the biomedical and clinical sciences
local.identifier.absseo280102 - Expanding knowledge in the biological sciences
local.identifier.ariespublicationa383154xPUB11036
local.identifier.citationvolume11
local.identifier.doi10.1038/s41467-020-15634-w
local.identifier.scopusID2-s2.0-85083545111
local.identifier.thomsonIDWOS:000528787900004
local.type.statusPublished Version
publicationvolume.volumeNumber11

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