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Neuroproteomics as a Tool for Understanding Schizophrenia

Advances in Experimental Medicine and Biology 1400 - Proteomics, Metabolomics, Interactomics and Systems Biology

Erschienen am 06.08.2022, 1. Auflage 2022
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Bibliografische Daten
ISBN/EAN: 9783030971816
Sprache: Englisch
Umfang: viii, 143 S., 1 s/w Illustr., 11 farbige Illustr.,
Einband: gebundenes Buch

Beschreibung

Over the past decade, neuroproteomics has shed light on the molecular features of schizophrenia by depicting biological processes involved with its establishment, maintenance and treatment. These studies have also pointed to potential biomarkers applicable to diagnosis and medication monitoring. Edited by a leader in the field of neuroproteomics with contributions from subject experts, this new volume will address recent findings and compile evidence from difference perspectives-such as human samples, animal models, pluripotent stem cell-derived in vitro pre-clinical models-and provide findings to inform the development of innovative future treatment strategies.This volume will be useful for a broad audience of researchers and professionals, including biologists, neurologists, psychiatrists, analytical chemists, and pharmacists, among others.

Autorenportrait

Daniel Martins-de-Souza holds a PhD in Biochemistry and Molecular Biology and is an Associate Professor of Biochemistry and Head of Proteomics at the University of Campinas (UNICAMP), in Brazil. Daniel´s postdoctoral training was carried out in the Max Planck Institute of Psychiatry in Germany and at the University of Cambridge, in the UK. For two years, Daniel was Principal Investigator in the Dept. of Psychiatry and Psychotherapy of the Ludwig Maximilians University (LMU), just before becoming a Professor. Daniel was elected Affiliated Member of the São Paulo Academy of Sciences in 2019 and Affiliated Member of the Brazilian Academy of Sciences in 2017. He is part of the Editorial Board of seven indexed journals and Associate Editor for npj Schizophrenia. His main expertise is on proteomics and systems biology tools to investigate molecular mechanisms involved in mental disorders.