Literature DB >> 20604530

Analysis of the pancreatic low molecular weight proteome in an animal model of acute pancreatitis.

Olivier Lassout1, Catherine M Pastor, Vanessa Fétaud-Lapierre, Denis F Hochstrasser, Jean-Louis Frossard, Pierre Lescuyer.   

Abstract

We used a peptidomic approach for the analysis of the low molecular weight proteome in rat pancreatic tissue extracts. The goal was to develop a method that allows identifying endogenous peptides produced in the pancreas in the course of acute pancreatitis. The workflow combines peptides enrichment by centrifugal ultrafiltration, fractionation by isoelectric focusing, and LC-MS/MS analysis without prior enzymatic digestion. The method was assessed on pancreatic extracts from 3 rats with caerulein-induced pancreatitis and 3 healthy controls. A qualitative analysis of the peptide patterns obtained from the different samples was performed to determine the main biological processes associated to the identified peptides. Comparison of peptidomic and immunoblot data for alpha-tubulin, beta-tubulin and coatomer gamma showed that the correlation between the number of identified peptides and the protein abundance was variable. Nevertheless, peptidomic analysis highlighted inflammatory and stress proteins, which peptide pattern was related to acute pancreatitis pathobiology. For these proteins, the higher number of peptides in pancreatitis samples reflected an increase in protein abundance. Moreover, for murinoglobulin-1 or carboxypeptidase B, peptide pattern could be related to protein function. These data suggest that peptidomic analysis is a complementary approach to proteomics for investigating pathobiological processes involved in acute pancreatitis.

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Year:  2010        PMID: 20604530     DOI: 10.1021/pr1002627

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  2 in total

Review 1.  Proteomics as a systems approach to pancreatitis.

Authors:  John A Williams
Journal:  Pancreas       Date:  2013-08       Impact factor: 3.327

2.  Comprehensive quantitative analysis of ovarian and breast cancer tumor peptidomes.

Authors:  Zhe Xu; Chaochao Wu; Fang Xie; Gordon W Slysz; Nikola Tolic; Matthew E Monroe; Vladislav A Petyuk; Samuel H Payne; Grant M Fujimoto; Ronald J Moore; Thomas L Fillmore; Athena A Schepmoes; Douglas A Levine; R Reid Townsend; Sherri R Davies; Shunqiang Li; Matthew Ellis; Emily Boja; Robert Rivers; Henry Rodriguez; Karin D Rodland; Tao Liu; Richard D Smith
Journal:  J Proteome Res       Date:  2014-11-10       Impact factor: 4.466

  2 in total

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