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dc.contributor.authorIrizar, Haritz
dc.contributor.authorMuñoz Culla, Maider
dc.contributor.authorSáenz Cuesta, Matías
dc.contributor.authorOsorio Querejeta, Iñaki
dc.contributor.authorSepúlveda, Lucía
dc.contributor.authorCastillo Triviño, Tamara
dc.contributor.authorPrada, Alvaro
dc.contributor.authorLópez de Munain Arregui, Adolfo José
dc.contributor.authorOlascoaga, Javier
dc.contributor.authorOtaegui Bichot, David
dc.date.accessioned2019-04-11T18:51:53Z
dc.date.available2019-04-11T18:51:53Z
dc.date.issued2015-03-28
dc.identifier.citationBMC Genomics 16 : (2015) // Article ID 250es_ES
dc.identifier.issn1471-2164
dc.identifier.urihttp://hdl.handle.net/10810/32430
dc.description.abstractBackground: Several studies have revealed a potential role for both small nucleolar RNAs (snoRNAs) and microRNAs (miRNAs) in the physiopathology of relapsing-remitting multiple sclerosis (RRMS). This potential implication has been mainly described through differential expression studies. However, it has been suggested that, in order to extract additional information from large-scale expression experiments, differential expression studies must be complemented with differential network studies. Thus, the present work is aimed at the identification of potential therapeutic ncRNA targets for RRMS through differential network analysis of ncRNA - mRNA coexpression networks. ncRNA - mRNA coexpression networks have been constructed from both selected ncRNA (specifically miRNAs, snoRNAs and sdRNAs) and mRNA large-scale expression data obtained from 22 patients in relapse, the same 22 patients in remission and 22 healthy controls. Condition-specific (relapse, remission and healthy) networks have been built and compared to identify the parts of the system most affected by perturbation and aid the identification of potential therapeutic targets among the ncRNAs. Results: All the coexpression networks we built present a scale-free topology and many snoRNAs are shown to have a prominent role in their architecture. The differential network analysis (relapse vs. remission vs. controls' networks) has revealed that, although both network topology and the majority of the genes are maintained, few ncRNA - mRNA links appear in more than one network. We have selected as potential therapeutic targets the ncRNAs that appear in the disease-specific network and were found to be differentially expressed in a previous study. Conclusions: Our results suggest that the diseased state of RRMS has a strong impact on the ncRNA - mRNA network of peripheral blood leukocytes, as a massive rewiring of the network happens between conditions. Our findings also indicate that the role snoRNAs have in targeted gene silencing is a widespread phenomenon. Finally, among the potential therapeutic target ncRNAs, SNORA40 seems to be the most promising candidate.es_ES
dc.description.sponsorshipThis work has been supported partially by Fondo de investigacion Sanitaria from Instituto Carlos III through the project FIS PS09/02105, by SAIOTEK (SAIO11-PC11BN003) and by the Spanish Net of Multiple Sclerosis. HI and MMC has been supported by departamento de educacion del Gobierno Vasco through a PhD grant.es_ES
dc.language.isoenges_ES
dc.publisherBiomed Centrales_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectmultiple sclerosises_ES
dc.subjectncRNAes_ES
dc.subjectsnoRNAes_ES
dc.subjectmiRNAes_ES
dc.subjectcoexpressiones_ES
dc.subjectdifferential networkes_ES
dc.subjecttherapeutic targetes_ES
dc.subjectrewiringes_ES
dc.subjectACA40es_ES
dc.subjectgene coexpression networkses_ES
dc.subjectbox C/D snornases_ES
dc.subjectcaenorhabditis-eleganses_ES
dc.subjectnoncoding RNASes_ES
dc.subjectregulatory RNASes_ES
dc.subjectmicrornaes_ES
dc.subjectexpressiones_ES
dc.subjectcanceres_ES
dc.subjectcelles_ES
dc.titleIdentification of ncRNAs as Potential Therapeutic Targets in Multiple Sclerosis Through Differential ncRNA – mRNA Network Analysises_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-015-1396-5es_ES
dc.identifier.doi10.1186/s12864-015-1396-5
dc.departamentoesNeurocienciases_ES
dc.departamentoeuNeurozientziakes_ES


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