Protein aggregation, structural disorder and RNA-binding ability: a new approach for physico-chemical and gene ontology classification of multiple datasets

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• dc.contributor.author Klus, Petr, 1985-ca
• dc.contributor.author Delli Ponti, Riccardo, 1987-ca
• dc.contributor.author Livi, Carmen Mariaca
• dc.contributor.author Tartaglia, Gian Gaetanoca
• dc.date.accessioned 2018-05-11T09:18:52Z
• dc.date.available 2018-05-11T09:18:52Z
• dc.date.issued 2015
• dc.description.abstract BACKGROUND: Comparison between multiple protein datasets requires the choice of an appropriate reference system and a number of variables to describe their differences. Here we introduce an innovative approach to discriminate multiple protein datasets (multiCM) and to measure enrichments in gene ontology terms (cleverGO) using semantic similarities. RESULTS: We illustrate the powerfulness of our approach by investigating the links between RNA-binding ability and other protein features, such as structural disorder and aggregation, in S. cerevisiae, C. elegans, M. musculus and H. sapiens. Our results are in striking agreement with available experimental evidence and unravel features that are key to understand the mechanisms regulating cellular homeostasis. CONCLUSIONS: In an intuitive way, multiCM and cleverGO provide accurate classifications of physico-chemical features and annotations of biological processes, molecular functions and cellular components, which is extremely useful for the discovery and characterization of new trends in protein datasets. The multiCM and cleverGO can be freely accessed on the Web at http://www.tartaglialab.com/cs_multi/submission and http://www.tartaglialab.com/GO_analyser/universal . Each of the pages contains links to the corresponding documentation and tutorial.
• dc.description.sponsorship The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013), through the European Research Council, under grant agreement RIBOMYLOME_309545 (Gian Gaetano Tartaglia), and from the Spanish Ministry of Economy and Competitiveness (BFU2014-55054-P). We also acknowledge support from AGAUR (2014 SGR 00685), the Spanish Ministry of Economy and Competitiveness, ‘Centro de Excelencia Severo Ochoa 2013–2017’ (SEV-2012-0208). PK and RDP are recipients of “La Caixa” and “Severo Ochoa” studentships, respectively
• dc.format.mimetype application/pdf
• dc.identifier.citation Klus P, Ponti RD, Livi CM, Tartaglia GG.Protein aggregation, structural disorder and RNA-binding ability: a new approach for physico-chemical and gene ontology classification of multiple datasets. BMC Genomics. 2015 Dec 16;16:1071. DOI: 10.1186/s12864-015-2280-z
• dc.identifier.doi http://dx.doi.org/10.1186/s12864-015-2280-z
• dc.identifier.issn 1471-2164
• dc.identifier.uri http://hdl.handle.net/10230/34615
• dc.language.iso eng
• dc.publisher BioMed Centralca
• dc.relation.ispartof BMC Genomics. 2015 Dec 16;16:1071
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/309545
• dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/BFU2014-55054-P
• dc.rights © Petr Klus, Riccardo Delli Ponti, Carmen Maria Livi and Gian Gaetano Tartaglia. Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.rights.uri http://creativecommons.org/licenses/by/4.0/
• dc.subject.other Proteïnes
• dc.subject.other Estructura molecular
• dc.subject.other Proteïnes--Fixació
• dc.subject.other RNA
• dc.title Protein aggregation, structural disorder and RNA-binding ability: a new approach for physico-chemical and gene ontology classification of multiple datasetsca
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/publishedVersion