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SalivaPRINT Toolkit – protein profile evaluation and phenotype stratification

2018-01-16Journal article Open access
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dc.contributor.authorCruz, Igor
dc.contributor.authorEsteves, Eduardo
dc.contributor.authorFernandes, Mónica
dc.contributor.authorRosa, Nuno
dc.contributor.authorCorreia, Maria José
dc.contributor.authorArrais, Joel P.
dc.contributor.authorBarros, Marlene
dc.date.accessioned2021-05-13T14:58:05Z
dc.date.available2021-05-13T14:58:05Z
dc.date.issued2018-01-16
dc.description.abstractThe value of the molecular information obtained from saliva is dependent on the use of in vitro and in silico techniques. The main proteins of saliva when separated by capillary electrophoresis enable the establishment of individual profiles with characteristic patterns reflecting each individual phenotype. Different physiological or pathological conditions may be identified by specific protein profiles. The association of each profile to the particular protein composition provides clues as to which biological processes are compromised in each situation. Patient stratification according to different phenotypes often within a particular disease spectrum is especially important for the management of individuals carrying multiple diseases and requiring personalized interventions. In this work we present the SalivaPRINT Toolkit, which enables the analysis of protein profile patterns and patient phenotyping. Additionally, the SalivaPRINT Toolkit allows the identification of molecular weight ranges altered in a particular condition and therefore potentially involved in the underlying dysregulated mechanisms. This tutorial introduces the use of the SalivaPRINT Toolkit command line interface (https://github.com/salivatec/SalivaPRINT) as an independent tool for electrophoretic protein profile evaluation. It provides a detailed overview of its functionalities, illustrated by the application to the analysis of profiles obtained from a healthy population versus a population affected with inflammatory conditions. Biological significance We present SalivaPRINT, which serves as a patient characterization tool to identify molecular weights related with particular conditions and, from there, find proteins, which may be involved in the underlying dysregulated cellular mechanisms. The proposed analysis strategy has the potential to boost personalized diagnosis. To our knowledge this is the first independent tool for electrophoretic protein profile evaluation and is crucial when a large number of complex electrophoretic profiles needs to be compared and classified.pt_PT
dc.description.versioninfo:eu-repo/semantics/acceptedVersionpt_PT
dc.identifier.doi10.1016/j.jprot.2017.08.011pt_PT
dc.identifier.eid85028633099
dc.identifier.issn1874-3919
dc.identifier.pmid28843534
dc.identifier.urihttp://hdl.handle.net/10400.14/33099
dc.identifier.wos000419415500009
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectProtein pattern recognitionpt_PT
dc.subjectProtein phenotypespt_PT
dc.subjectProtein profilingpt_PT
dc.titleSalivaPRINT Toolkit – protein profile evaluation and phenotype stratificationpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage86pt_PT
oaire.citation.startPage81pt_PT
oaire.citation.titleJournal of Proteomicspt_PT
oaire.citation.volume171pt_PT
person.familyNameEsteves
person.familyNameFernandes
person.familyNameRosa
person.familyNameCorreia
person.familyNameArrais
person.familyNameBarros
person.givenNameEduardo
person.givenNameMónica
person.givenNameNuno
person.givenNameMaria
person.givenNameJoel
person.givenNameMarlene
person.identifier283619
person.identifierAAG-6405-2021
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person.identifier.ciencia-id3211-1B4F-C7F6
person.identifier.orcid0000-0001-5458-4978
person.identifier.orcid0000-0002-8009-7513
person.identifier.orcid0000-0003-4604-0780
person.identifier.orcid0000-0002-6141-9089
person.identifier.orcid0000-0003-4937-2334
person.identifier.orcid0000-0003-0631-4062
person.identifier.ridA-5627-2013
person.identifier.ridH-9952-2012
person.identifier.scopus-author-id57076160300
person.identifier.scopus-author-id57075713000
person.identifier.scopus-author-id35081186500
person.identifier.scopus-author-id7102145871
person.identifier.scopus-author-id18036537200
person.identifier.scopus-author-id7102895790
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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