dc.creatorMartins-de-Souza, Daniel
dc.date2014-Mar
dc.date2015-11-27T13:42:21Z
dc.date2015-11-27T13:42:21Z
dc.date.accessioned2018-03-29T01:20:27Z
dc.date.available2018-03-29T01:20:27Z
dc.identifierDialogues In Clinical Neuroscience. v. 16, n. 1, p. 63-73, 2014-Mar.
dc.identifier1958-5969
dc.identifier
dc.identifierhttp://www.ncbi.nlm.nih.gov/pubmed/24733971
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/201321
dc.identifier24733971
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1301554
dc.descriptionOmics technologies emerged as complementary strategies to genomics in the attempt to understand human illnesses. In general, proteomics technologies emerged earlier than those of metabolomics for major depressive disorder (MDD) research, but both are driven by the identification of proteins and/or metabolites that can delineate a comprehensive characterization of MDD's molecular mechanisms, as well as lead to the identification of biomarker candidates of all types-prognosis, diagnosis, treatment, and patient stratification. Also, one can explore protein and metabolite interactomes in order to pinpoint additional molecules associated with the disease that had not been picked up initially. Here, results and methodological aspects of MDD research using proteomics, metabolomics, and protein interactomics are reviewed, focusing on human samples.
dc.description16
dc.description63-73
dc.languageeng
dc.relationDialogues In Clinical Neuroscience
dc.relationDialogues Clin Neurosci
dc.rightsaberto
dc.rights
dc.sourcePubMed
dc.subjectAnimals
dc.subjectDepressive Disorder, Major
dc.subjectHumans
dc.subjectMetabolomics
dc.subjectProteomics
dc.subjectCsf
dc.subjectNmr
dc.subjectBiomarker
dc.subjectBlood
dc.subjectBrain
dc.subjectDepression
dc.subjectInteractomics
dc.subjectMajor Depression
dc.subjectMass Spectrometry
dc.subjectMetabolomics
dc.subjectProteomics
dc.titleProteomics, Metabolomics, And Protein Interactomics In The Characterization Of The Molecular Features Of Major Depressive Disorder.
dc.typeArtículos de revistas


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