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The Autoimmune Tautology: An In Silico Approach

dc.audienceComunidad Rosaristaspa
dc.creatorCifuentes, Ricardo
dc.creatorRestrepo-Montoya, Daniel
dc.creatorAnaya, Juan-Manuel
dc.creator.googleCifuentes, Ricardo A.
dc.creator.googleRestrepo-Montoya, Daniel
dc.creator.googleAnaya, Juan-Manuel
dc.date.accessioned2014-08-11T20:31:28Z
dc.date.available2014-08-11T20:31:28Z
dc.date.created2012
dc.date.issued2012
dc.description.abstractThere is genetic evidence of similarities and differences among autoimmune diseases (AIDs) that warrants looking at a general panorama of what has been published. Thus, our aim was to determine the main shared genes and to what extent they contribute to building clusters of AIDs. We combined a text-mining approach to build clusters of genetic concept profiles (GCPs) from the literature in MedLine with knowledge of protein-protein interactions to confirm if genes in GCP encode proteins that truly interact. We found three clusters in which the genes with the highest contribution encoded proteins that showed strong and specific interactions. After projecting the AIDs on a plane, two clusters could be discerned: Sjögren’s syndrome—systemic lupus erythematosus, and autoimmune thyroid disease—type1 diabetes—rheumatoid arthritis. Our results support the common origin of AIDs and the role of genes involved in apoptosis such as CTLA4, FASLG, and IL10.eng
dc.format.mediumRecurso electrónicospa
dc.format.mimetypeapplication/pdf
dc.format.tipoDocumentospa
dc.identifier.issnISSN:2090-0430
dc.identifier.urihttp://repository.urosario.edu.co/handle/10336/8778
dc.language.isoeng
dc.publisherUniversidad del Rosariospa
dc.relation.citationTitleAutoimmune Diseases
dc.relation.ispartofAutoimmune Diseases, ISSN 2090-04-30, 2012spa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto completo)spa
dc.rights.licenciaEL AUTOR, manifiesta que la obra objeto de la presente autorización es original y la realizó sin violar o usurpar derechos de autor de terceros, por lo tanto la obra es de exclusiva autoría y tiene la titularidad sobre la misma.spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.ddcEnfermedades
dc.subject.decsEnfermedades autoinmunesspa
dc.subject.decsInmunologíaspa
dc.subject.decsSidaspa
dc.subject.decsDiabetesspa
dc.titleThe Autoimmune Tautology: An In Silico Approachspa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/acceptedVersion
dc.type.spaArtículospa
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