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Evening and morning alterations in Obstructive Sleep Apnea red blood cell proteome

2017-01-16Journal article Open access
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dc.contributor.authorFeliciano, Amélia
dc.contributor.authorVaz, Fátima
dc.contributor.authorValentim-Coelho, Cristina
dc.contributor.authorTorres, Vukosava M.
dc.contributor.authorSilva, Rita
dc.contributor.authorProsinecki, Vesna
dc.contributor.authorAlexandre, Bruno M.
dc.contributor.authorAlmeida, Andreia
dc.contributor.authorAlmeida-Marques, Catarina
dc.contributor.authorCarvalho, Ana S.
dc.contributor.authorMatthiesen, Rune
dc.contributor.authorMalhotra, Atul
dc.contributor.authorPinto, Paula
dc.contributor.authorBárbara, Cristina
dc.contributor.authorPenque, Deborah
dc.date.accessioned2017-03-10T14:12:49Z
dc.date.available2017-03-10T14:12:49Z
dc.date.issued2017-01-16
dc.description.abstractThis article presents proteomics data referenced in [1] Using proteomics-based evaluation of red blood cells (RBCs), we have identified differentially abundant proteins associated with Obstructive Sleep Apnea Syndrome (OSA). RBCs were collected from peripheral blood of patients with moderate/severe OSA or snoring at pre- (evening) and post-night (morning) polysomnography, so that proteome variations between these time points could be assessed. RBC cytoplasmic fraction depleted of hemoglobin, using Hemovoid(™) system, were analyzed by two-dimensional fluorescence difference gel electrophoresis (2D-DIGE), the 2D image software-based analyzed and relevant differentially abundant proteins identified by mass spectrometry (MS). MS identified 31 protein spots differentially abundant corresponding to 21 unique proteins possibly due to the existence of post-translational modification regulations. Functional analysis by bioinformatics tools indicated that most proteins are associated with catalytic, oxidoreductase, peroxidase, hydrolase, ATPase and anti-oxidant activity. At morning a larger numbers of differential proteins including response to chemical stimulus, oxidation reduction, regulation of catalytic activity and response to stress were observed in OSA. The data might support further research in OSA biomarker discovery and validation.pt_PT
dc.description.sponsorshipProject partially supported by Harvard Medical School-Portugal Program (HMSP-ICJ/0022/2011), ToxOmics - Centre for Toxicogenomics and Human Health (FCT-UID/BIM/00009/2013), FCT/Poly-Annual Funding Program and FEDER/Saúde XXI Program (Portugal) and postdoctoral fellowship SFRH/BPD/43365/2008 of Fundação para a Ciência e a Tecnologia (FCT), Portugal.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationData Brief. 2017 Jan 16;11:103-110. doi: 10.1016/j.dib.2017.01.005. eCollection 2017pt_PT
dc.identifier.doi10.1016/j.dib.2017.01.005pt_PT
dc.identifier.issn2352-3409
dc.identifier.urihttp://hdl.handle.net/10400.18/4611
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttp://www.sciencedirect.com/science/article/pii/S2352340917300057pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.subjectObstructivept_PT
dc.subjectSleep Apneapt_PT
dc.subjectRed Blood Cellspt_PT
dc.subject2D-DIGEpt_PT
dc.subjectBiomarkerspt_PT
dc.subjectGenómica Funcionalpt_PT
dc.subjectGenómica Funcional e Estruturalpt_PT
dc.titleEvening and morning alterations in Obstructive Sleep Apnea red blood cell proteomept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIM%2F00009%2F2013/PT
oaire.citation.endPage110pt_PT
oaire.citation.startPage103pt_PT
oaire.citation.titleData in Briefpt_PT
oaire.citation.volume11pt_PT
oaire.fundingStream5876
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isProjectOfPublicatione9cc9728-4f09-4e3a-b30d-53d4429986fb
relation.isProjectOfPublication.latestForDiscoverye9cc9728-4f09-4e3a-b30d-53d4429986fb

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