Premium
Proteomics and molecular tools for unveiling missing links in the biochemical understanding of schizophrenia
Author(s) -
Nascimento Juliana M.,
Garcia Sheila,
SaiaCereda Verônica M.,
Santana Aline G.,
BrandaoTeles Caroline,
Zuccoli Giuliana S.,
Junqueira Danielle G.,
ReisdeOliveira Guilherme,
Baldasso Paulo A.,
Cassoli Juliana S.,
MartinsdeSouza Daniel
Publication year - 2016
Publication title -
proteomics – clinical applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.948
H-Index - 54
eISSN - 1862-8354
pISSN - 1862-8346
DOI - 10.1002/prca.201600021
Subject(s) - schizophrenia (object oriented programming) , proteomics , data science , psychiatry , computational biology , neuroscience , psychology , computer science , bioinformatics , medicine , biology , genetics , gene
Psychiatric disorders are one of the biggest burdens to society, with significant personal and economical costs. Schizophrenia (SCZ), among them, is still poorly understood, and its molecular characterization is crucial to improve patients’ diagnosis and treatment. The combination of genetic, biochemical, and environmental factors leads to systemic alterations, which are yet to be fully comprehended. Thus, understanding those missing links by connecting some molecular reports of SCZ is essential. From postmortem brain to animal models and cell culture, new tools are emerging, including recent advances in proteomics, and there is a need to apply them to solve these problems. Here, we review some of those features, mainly related to where proteomics could help, and discuss whether those new technologies could and should be applied to psychiatric disorder studies.