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SalivaPrint: sheep saliva electrophoretic protein profile in a bioinformatics approach

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dc.contributor.authorEsteves, E.
dc.contributor.authorFernandes, M.
dc.contributor.authorCruz, I.
dc.contributor.authorEsteves, Fernando
dc.contributor.authorRosa, N.
dc.contributor.authorCorreia, M. J.
dc.contributor.authorVala, Helena
dc.contributor.authorBarros, M.
dc.date.accessioned2017-11-29T13:29:37Z
dc.date.available2017-11-29T13:29:37Z
dc.date.issued2017
dc.description.abstractIntroduction: Sheep saliva is a fluid with properties relevant for the evaluation of individual wellbeing and disease states. It can be used for individual monitoring and decision aiding in therapeutic intervention. The total protein profile of each subject (SalivaPrint) can be integrated with clinical and environmental data to stratify individuals and analyze their health status. This strategy can also support the discovery of novel biomarkers. This study applies a bioinformatics strategy in order to identify standard protein profiles in healthy sheep. Standard total protein profiles of sheep are compared to human profile. Methods: Saliva samples were collected using an adaptation of the collection method available in Rosa et al 2016.Total protein profile of sheep saliva samples was performed b capillary electrophoretic analysis using the Experion™ technology. An algorithm which is able to identify common molecular weights ranges in a group of electrophoretic profiles was used. The molecular weight ranges identified were then used to discern between sheep and human population. Common molecular weights present in sheep SalivaPrint were then used with OvisOme database to identify proteins. Using AgBase GORetriever tool it was possible to analyze and catalogue their biological process. Results: Sheep and Human SalivaPrints are different and it is possible to discern both species. The SalivaPrints of individuals from the same flock appear to have a higher degree of similarity than individuals of different flocks. Sheep SalivaPrints showed five commonly present molecular weight ranges 7,9-8,9; 8,9-9,8; 12,7-13,6; 17,4 18,4 and 27,928,8 kDa. In this ranges, 14 proteins were identified using OvisOme database. The most representative biological process found was the response to stress (imm ne system process) with the proteins: Cathelicidin-1, Beta 2 microglobulin, Cathelin, Kallirein and Chloride intracellular channel protein. Conclusion: It was possible to conclude that different species have different salivary protein profiles. In addition to this, the total protein profile seem to be highly conserved between flocks. By using SalivaPrint profiles with bioinformatic tools like OvisOme.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationEsteves, E., Fernandes, M., Cruz, I., Esteves, F., Rosa, N., Correia, M.J., ... Barros, M. (Agosto/Setembro, 2017). SalivaPrint: sheep saliva electrophoretic protein profile in a bioinformatics approach (p. 74). In Abstract book of the Cutting Edge Pathology, 3rd Joint European Congress of the ESVP, ESTP and ECVP, Lyon, France.pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.19/4725
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationThis work is financed by national funds through FCT - Fundação para a Ciência e Tecnologia, I.P., under the project UID/Multi/04016/2016. Furthermore we would like to thank the Instituto Politécnico de Viseu, CI&DETS for their support and FCT, FCOMP-01-0124-FEDER-009525; IPV, CI&DETS, FCT and QREN/FEDER (Ovislab ICT-2013-05-004-5314 ID-64757). This work is supported by European Investment Funds by FEDER/COMPETE/POCI– Operacional Competitiveness and Internacionalization Programme, under Project POCI-01-0145-FEDER-006958 and National Funds by FCT - Portuguese Foundation for Science and Technology, under the project UID/AGR/04033/2013. Furthermore we would like to thank to UTAD and CITABS for their support.pt_PT
dc.subjectSaliva electrophoretic protein profilept_PT
dc.subjectSheeppt_PT
dc.titleSalivaPrint: sheep saliva electrophoretic protein profile in a bioinformatics approachpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceLyon, Francept_PT
oaire.citation.startPage74pt_PT
oaire.citation.titleCutting Edge Pathology 2017pt_PT
person.familyNameEsteves
person.familyNameVala Correia
person.givenNameFernando
person.givenNameHelena Maria
person.identifier.ciencia-id6E19-A3CC-897E
person.identifier.ciencia-id7A1E-E85E-FFA4
person.identifier.orcid0000-0003-0589-0746
person.identifier.orcid0000-0001-6829-4867
rcaap.rightsrestrictedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication93d688a9-9716-444c-9d08-fdca593d630d
relation.isAuthorOfPublicationcdc3d2e2-df06-40ed-8900-1ecbc8a06c8a
relation.isAuthorOfPublication.latestForDiscoverycdc3d2e2-df06-40ed-8900-1ecbc8a06c8a

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