Literature DB >> 16212428

Characterization of proteins in human pancreatic cancer serum using differential gel electrophoresis and tandem mass spectrometry.

Kenneth H Yu1, Anil K Rustgi, Ian A Blair.   

Abstract

The purpose of this study was to develop techniques for identifying cancer biomarkers in human serum using differential in-gel electrophoresis (DIGE), and characterizing the protein biomarkers using tandem mass spectrometry (MS/MS). A major problem in profiling protein expression by DIGE comes from the presence of high concentrations of a small number of proteins. Therefore, serum samples were first chromatographed using an immunoaffinity HPLC column (Agilent Technologies), to selectively remove albumin, immunoglobulins, transferrin, haptoglobin, and antitrypsin. Serum samples from three individuals with pancreatic cancer and three individuals without cancer were compared. Serum samples were processed using the immunoaffinity column. Differential protein analysis was performed using DIGE. A total of 56 protein spot-features were found to be significantly increased and 43 significantly decreased in cancer serum samples. These spot features were excised, trypsin digested, and analyzed by MALDI/TOF/TOF (4700 Proteomics Analyzer, Applied Biosystems). We identified 24 unique proteins that were increased and 17 unique proteins that were decreased in cancer serum samples. Western blot analysis confirmed increased levels of several of these proteins in the pancreatic cancer serum samples. In an independent series of serum samples from 20 patients with pancreatic cancer and 14 controls, increased levels of apolipoprotein E, alpha-1-antichymotrypsin, and inter-alpha-trypsin inhibitor were found to be associated with pancreatic cancer. These results suggest that affinity column enrichment and 2-D DIGE can be used to identify numerous proteins differentially expressed in serum from individuals with pancreatic cancer.

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Year:  2005        PMID: 16212428     DOI: 10.1021/pr050174l

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


  46 in total

1.  Proteomic profiling of cerebrospinal fluid identifies prostaglandin D2 synthase as a putative biomarker for pediatric medulloblastoma: A pediatric brain tumor consortium study.

Authors:  Meena U Rajagopal; Yetrib Hathout; Tobey J MacDonald; Mark W Kieran; Sri Gururangan; Susan M Blaney; Peter Phillips; Roger Packer; Heather Gordish-Dressman; Brian R Rood
Journal:  Proteomics       Date:  2011-01-27       Impact factor: 3.984

2.  Relative quantification of serum proteins from pancreatic ductal adenocarcinoma patients by stable isotope dilution liquid chromatography-mass spectrometry.

Authors:  Angela Y Wehr; Wei-Ting Hwang; Ian A Blair; Kenneth H Yu
Journal:  J Proteome Res       Date:  2012-02-15       Impact factor: 4.466

Review 3.  Immunoaffinity chromatography: an introduction to applications and recent developments.

Authors:  Annette C Moser; David S Hage
Journal:  Bioanalysis       Date:  2010-04       Impact factor: 2.681

Review 4.  Identifying molecular markers for the early detection of pancreatic neoplasia.

Authors:  Michael Goggins
Journal:  Semin Oncol       Date:  2007-08       Impact factor: 4.929

Review 5.  Proteomic technology for biomarker profiling in cancer: an update.

Authors:  Moulay A Alaoui-Jamali; Ying-jie Xu
Journal:  J Zhejiang Univ Sci B       Date:  2006-06       Impact factor: 3.066

6.  Two-dimensional fluorescence difference gel electrophoresis for comparative proteomics profiling.

Authors:  Nilesh S Tannu; Scott E Hemby
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

7.  Quantitative proteomic analysis by iTRAQ(R) for the identification of candidate biomarkers in ovarian cancer serum.

Authors:  Kristin Lm Boylan; John D Andersen; Lorraine B Anderson; LeeAnn Higgins; Amy Pn Skubitz
Journal:  Proteome Sci       Date:  2010-06-14       Impact factor: 2.480

8.  Leucine-rich alpha-2-glycoprotein-1 is upregulated in sera and tumors of ovarian cancer patients.

Authors:  John D Andersen; Kristin Lm Boylan; Ronald Jemmerson; Melissa A Geller; Benjamin Misemer; Katherine M Harrington; Starchild Weivoda; Bruce A Witthuhn; Peter Argenta; Rachel Isaksson Vogel; Amy Pn Skubitz
Journal:  J Ovarian Res       Date:  2010-09-10       Impact factor: 4.234

9.  Feature detection techniques for preprocessing proteomic data.

Authors:  Kimberly F Sellers; Jeffrey C Miecznikowski
Journal:  Int J Biomed Imaging       Date:  2010-05-05

10.  Different altered stage correlative expression of high abundance acute-phase proteins in sera of patients with epithelial ovarian carcinoma.

Authors:  Yeng Chen; Boon-Kiong Lim; Onn H Hashim
Journal:  J Hematol Oncol       Date:  2009-08-27       Impact factor: 17.388

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