Systems level expression correlation of Ras GTPase regulators

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• dc.contributor.author Unal, E. Besray
• dc.contributor.author Kiel, Christina
• dc.contributor.author Benisty, Hannah, 1986-
• dc.contributor.author Campbell, Andrew
• dc.contributor.author Pickering, Karen
• dc.contributor.author Blüthgen, Nils
• dc.contributor.author Sansom, Owen J.
• dc.contributor.author Serrano Pubull, Luis, 1982-
• dc.date.accessioned 2019-11-04T08:47:45Z
• dc.date.available 2019-11-04T08:47:45Z
• dc.date.issued 2018
• dc.description.abstract Background: Proteins of the ubiquitously expressed core proteome are quantitatively correlated across multiple eukaryotic species. In addition, it was found that many protein paralogues exhibit expression anticorrelation, suggesting that the total level of protein with a given functionality must be kept constant. Methods: We performed Spearman’s rank correlation analyses of gene expression levels for the RAS GTPase subfamily and their regulatory GEF and GAP proteins across tissues and across individuals for each tissue. A large set of published data for normal tissues from a wide range of species, human cancer tissues and human cell lines was analysed. Results: We show that although the multidomain regulatory proteins of Ras GTPases exhibit considerable tissue and individual gene expression variability, their total amounts are balanced in normal tissues. In a given tissue, the sum of activating (GEFs) and deactivating (GAPs) domains of Ras GTPases can vary considerably, but each person has balanced GEF and GAP levels. This balance is impaired in cell lines and in cancer tissues for some individuals. Conclusions: Our results are relevant for critical considerations of knock out experiments, where functionally related homologs may compensate for the down regulation of a protein.
• dc.description.sponsorship This work was funded by the EU (PRIMES under grant agreement number FP7-HEALTH-F4- 2011-278568). This work was supported by the Spanish Ministerio de Economía y Competitividad, Plan Nacional BIO2012-39754 and Plan Estatal BFU2015-63571 and the European Fund for Regional Development. We acknowledge support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership, to the Spanish Ministry of Economy and Competitiveness (MEC) ‘Centro de Excelencia Severo Ochoa’ and to the CERCA Programme / Generalitat de Catalunya.
• dc.format.mimetype application/pdf
• dc.identifier.citation Besray Unal E, Kiel C, Benisty H, Campbell A, Pickering K, Blüthgen N et al. Systems level expression correlation of Ras GTPase regulators. Cell Commun Signal. 2018;16(1):46. DOI: 10.1186/s12964-018-0256-8
• dc.identifier.doi http://dx.doi.org/10.1186/s12964-018-0256-8
• dc.identifier.issn 1478-811X
• dc.identifier.uri http://hdl.handle.net/10230/42587
• dc.language.iso eng
• dc.publisher BioMed Central
• dc.relation.ispartof Cell Communication and Signaling. 2018;16(1):46
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/278568
• dc.relation.projectID info:eu-repo/grantAgreement/ES/2PN/BIO2012-39754
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2015-63571
• dc.rights © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.keyword Ras small GTPases
• dc.subject.keyword Tissue expression
• dc.subject.keyword Gene expression network
• dc.subject.keyword GTPase activating proteins
• dc.subject.keyword Guanine nucleotide exchange factors
• dc.title Systems level expression correlation of Ras GTPase regulators
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion