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<strong>JIOMICS</strong> | VOL 5 | ISSUE 2 | DECEMBER 2015 | 1-62<br />

JOURNAL OF INTEGRATED OMICS<br />

Journal of Integrated Omics<br />

A METHODOLOGICAL JOURNAL<br />

HTTP://WWW.<strong>JIOMICS</strong>.COM<br />

Special Issue: Proceeding Abstracts of the 4 th International Congress on Analytical Proteomics (ICAP 2015)<br />

Protein expression profiles of serum samples bipolar disorder patients<br />

mapped by 2-D DIGE coupled with nanoLC-MS/MS<br />

J.R. Jesus* 1 , R. M. Galazzi 1 , B. K. Campos 1 , A. Sussulini 1 , C. E. M. Banzatto 2 , J. L. C. Martínez 3 , M. A. Z. Arruda 1<br />

1<br />

Spectrometry Sample Preparation and Mechanization Group – GEPAM. Institute of Chemistry. University of Campinas -UNICAMP. 13083-<br />

970. Campinas, SP. Brazil. 2 Department of Psychiatry. Faculty of Medical Science. University of Campinas - UNICAMP. 13083-970. Campinas,<br />

SP.Brazil. 3 Bioscope group. Chemistry Department. Faculty of Sciences and Technology. New University of Lisbon. Campus de Caparica. 2829<br />

-516. Caparica. Portugal. *Corresponding author: jemmyson.jesus@iqm.unicamp.br<br />

Available Online: 31 December 2015<br />

Abstract<br />

Purpose: Bipolar Disorder (BD), which affects up to 3% of the worldwide population, is a mental disease with unclear connections to<br />

other similar disorder. This study had aim application approach comparative proteomic to identify potential biomarkers in patient serum samples<br />

with bipolar disorder.<br />

Experimental description: This study was approved by the Ethics Committee of the Hospital das Clinicas (University of Campinas, Brazil).<br />

Fifty six serum samples (23-57 years old) were collected and classified into five groups: (A) healthy family control (n= 3), (B) healthy nofamily<br />

control (n= 9), (C) BD patients under treatment with lithium (Li) (n= 14), (D) schizophrenia patients (n= 25) and (E) other diagnostic<br />

patients under treatment with Li (n=4). The participants did not have other concomitant diseases such as cancer, endocrinological or metabolic<br />

diseases. Abundant proteins (IgG and albumin) depletion were performed using ProteoMiner spin columns. The analysis was performed<br />

using two-dimensional fluorescence difference-in-gel electrophoresis (2-D DIGE) coupled with nanoliquid chromatography-tandem mass<br />

spectrometry (nanoLC-MS/MS). For the analysis of 2-D DIGE, the samples were compared. As follows: (i) group A vs group B; (ii) group A vs<br />

group E; (iii) group B vs group E; (iv) group C vs group E; (v) group E vs group D.<br />

Results: Approximately 50 μg [(pH range 4-70) determined from the 2-D Quant Kit] of each sample and the corresponding amount of the<br />

internal pooled standard were labeled with 400 ρmol of CyDye DIGE Fluors minimal dyes. The ratios of protein abundance that increased or<br />

decreased more than 2.0 fold (t-test, p

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