Literature DB >> 15542907

Identification of differentially expressed proteins in pancreatic cancer using a global proteomic approach.

Christophe Rosty1, Michael Goggins.   

Abstract

Proteomics is the term used for the large-scale analysis of proteins in biological fluids or cells by biochemical methods. Two approaches are used for proteomics analysis: two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and a mass-spectrometry-based approach, such as surface-enhanced laser desorption ionization (SELDI). SELDI can be used for large protein profiling or peptide identification after enzymatic digestion. In pancreatic cancer, proteomics analysis can be performed with the aim to identify all differentially expressed proteins in cancer cells vs normal pancreatic cells. Protein profiling of pancreatic juice or serum may also identify biomarkers for pancreatic cancer that could be used as diagnostic markers or therapeutic targets. This chapter outlines the use of 2D-PAGE and SELDI for profiling the protein content of pancreatic juice samples and for identifying proteins differentially expressed in pancreatic cancer patient samples compared to control patient samples.

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Year:  2005        PMID: 15542907     DOI: 10.1385/1-59259-780-7:189

Source DB:  PubMed          Journal:  Methods Mol Med        ISSN: 1543-1894


  6 in total

Review 1.  Mass spectrometry-based proteomics of endoscopically collected pancreatic fluid in chronic pancreatitis research.

Authors:  Joao A Paulo; Linda S Lee; Bechien Wu; Peter A Banks; Hanno Steen; Darwin L Conwell
Journal:  Proteomics Clin Appl       Date:  2011-03-01       Impact factor: 3.494

2.  Discrimination between adenocarcinoma and normal pancreatic ductal fluid by proteomic and glycomic analysis.

Authors:  Mindy Porterfield; Peng Zhao; Haiyong Han; John Cunningham; Kazuhiro Aoki; Daniel D Von Hoff; Michael J Demeure; J Michael Pierce; Michael Tiemeyer; Lance Wells
Journal:  J Proteome Res       Date:  2013-12-12       Impact factor: 4.466

3.  Applying proteomic-based biomarker tools for the accurate diagnosis of pancreatic cancer.

Authors:  Kyoko Kojima; Senait Asmellash; Christopher A Klug; William E Grizzle; James A Mobley; John D Christein
Journal:  J Gastrointest Surg       Date:  2008-08-15       Impact factor: 3.452

4.  Quantitative proteomics investigation of pancreatic intraepithelial neoplasia.

Authors:  Sheng Pan; Ru Chen; Beth Ann Reimel; David A Crispin; Hamid Mirzaei; Kelly Cooke; Joshua F Coleman; Zhaoli Lane; Mary P Bronner; David R Goodlett; Martin W McIntosh; William Traverso; Ruedi Aebersold; Teresa A Brentnall
Journal:  Electrophoresis       Date:  2009-04       Impact factor: 3.535

Review 5.  Sample preparation for serum/plasma profiling and biomarker identification by mass spectrometry.

Authors:  Jose L Luque-Garcia; Thomas A Neubert
Journal:  J Chromatogr A       Date:  2006-12-12       Impact factor: 4.759

6.  Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles.

Authors:  Guangtao Ge; G William Wong
Journal:  BMC Bioinformatics       Date:  2008-06-11       Impact factor: 3.169

  6 in total

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