Optimizing selective reaction monitoring-mass spectrometry (SRM-MS) to measure proteins of interest in schizophrenia | Zendy

GUILHERME REIS DE OLIVEIRA | Zendy; Daniel MartinsdeSouza | Zendy; Juliana S. Cassoli | Zendy

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Optimizing selective reaction monitoring-mass spectrometry (SRM-MS) to measure proteins of interest in schizophrenia

Author(s) -

GUILHERME REIS DE OLIVEIRA,

Daniel MartinsdeSouza,

Juliana S. Cassoli

Publication year - 2016

Publication title -

anais do congresso de iniciação científica da unicamp

Language(s) - English

Resource type - Conference proceedings

ISSN - 2447-5114

DOI - 10.19146/pibic-2016-50899

Subject(s) - measure (data warehouse) , schizophrenia (object oriented programming) , mass spectrometry , computer science , chemistry , chromatography , data mining , programming language

Selective reaction monitoring (SRM) is a mass spectrometry-based technique employed to accurately quantify analytes such as proteins. As schizophrenia presents disturbances in protein expression and their pathways, as previously observed by proteomic studies, SRM is a suitable tool to study this disease. This project aims to use SRM to quantify in a targeted fashion proteins associated to schizophrenia, allowing the identification of potential biomarkers for the disease. Here we will show the first steps of optimization of SRM technique.

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