Literature DB >> 18452326

Enhanced detection of autoantibodies on protein microarrays using a modified protein digestion technique.

Tasneem H Patwa1, Yanfei Wang, Diane M Simeone, David M Lubman.   

Abstract

High-throughput studies to determine differential immune (humoral) response to diseases are becoming of increasing interest because the information they provide can help in early diagnosis as well as monitoring of therapeutics. Protein microarrays are a high-throughput and convenient technology that can be applied to the study of the humoral response. Proteins can be arrayed on slides and then probed with serum from different classes of patients to observe differences that may exist among autoantibodies that reflect differences in disease states. However, such studies may be difficult to interpret due to the weak overall signal response of such protein microarrays. We propose that this weak signal response is due to the physical positioning of the disease proteins that renders them sterically hindered from binding partners in the serum. In this study, we hypothesize that reducing the complexity and size of the disease proteins by chemical digestion using cyanogen bromide (CNBr) may enhance the overall signal from the humoral response and facilitate visualization of disease-specific responses in various classes of serum. A modified protein microarray methodology using CNBr digestion is presented here. The new workflow was applied to a set of 10 serum samples from healthy subjects, 10 from patients with chronic pancreatitis and 10 from patients diagnosed with pancreatic cancer and the results were compared to results obtained in the absence of CNBr digestion. CNBr digestion allowed the identification of 10 additional autoantibodies that responded to serum, 5 of which were unique to pancreatitis and cancer sera. This new methodology may increase the sensitivity of microarray studies measuring autoantibodies in serum.

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Year:  2008        PMID: 18452326      PMCID: PMC2649732          DOI: 10.1021/pr800023g

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


  27 in total

1.  Chromatofocusing nonporous reversed-phase high-performance liquid chromatography/electrospray ionization time-of-flight mass spectrometry of proteins from human breast cancer whole cell lysates: a novel two-dimensional liquid chromatography/mass spectrometry method.

Authors:  B E Chong; F Yan; D M Lubman; F R Miller
Journal:  Rapid Commun Mass Spectrom       Date:  2001       Impact factor: 2.419

2.  Antibody microarray profiling of human prostate cancer sera: antibody screening and identification of potential biomarkers.

Authors:  Jeremy C Miller; Heping Zhou; Joshua Kwekel; Robert Cavallo; Jocelyn Burke; E Brian Butler; Bin S Teh; Brian B Haab
Journal:  Proteomics       Date:  2003-01       Impact factor: 3.984

3.  Protein microarrays using liquid phase fractionation of cell lysates.

Authors:  Fang Yan; Arun Sreekumar; Bharathi Laxman; Arul M Chinnaiyan; David M Lubman; Timothy J Barder
Journal:  Proteomics       Date:  2003-07       Impact factor: 3.984

Review 4.  Protein microchips in biomedicine and biomarker discovery.

Authors:  Sandor Spisak; Zsolt Tulassay; Bela Molnar; Andras Guttman
Journal:  Electrophoresis       Date:  2007-12       Impact factor: 3.535

Review 5.  Cancer and autoimmunity: autoimmune and rheumatic features in patients with malignancies.

Authors:  M Abu-Shakra; D Buskila; M Ehrenfeld; K Conrad; Y Shoenfeld
Journal:  Ann Rheum Dis       Date:  2001-05       Impact factor: 19.103

Review 6.  Antibody arrays in cancer research.

Authors:  Brian B Haab
Journal:  Mol Cell Proteomics       Date:  2005-01-25       Impact factor: 5.911

7.  Molecular basis of T cell-mediated recognition of pancreatic cancer cells.

Authors:  M Ito; S Shichijo; N Tsuda; M Ochi; N Harashima; N Saito; K Itoh
Journal:  Cancer Res       Date:  2001-03-01       Impact factor: 12.701

8.  Identification of differentially expressed proteins in ovarian cancer using high-density protein microarrays.

Authors:  Michael E Hudson; Irina Pozdnyakova; Kenneth Haines; Gil Mor; Michael Snyder
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-22       Impact factor: 11.205

9.  Autoantibody approach for serum-based detection of head and neck cancer.

Authors:  Ho-Sheng Lin; Harvinder S Talwar; Adi L Tarca; Alexei Ionan; Madhumita Chatterjee; Bin Ye; Jerzy Wojciechowski; Saroj Mohapatra; Marc D Basson; George H Yoo; Brian Peshek; Fulvio Lonardo; Chuan-Ju G Pan; Adam J Folbe; Sorin Draghici; Judith Abrams; Michael A Tainsky
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-11       Impact factor: 4.254

Review 10.  Autoantibodies as predictors of disease: the clinical and experimental evidence.

Authors:  Nicola Bizzaro
Journal:  Autoimmun Rev       Date:  2007-01-30       Impact factor: 9.754

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  3 in total

Review 1.  Usage of cancer associated autoantibodies in the detection of disease.

Authors:  Steven P Dudas; Madhumita Chatterjee; Michael A Tainsky
Journal:  Cancer Biomark       Date:  2010       Impact factor: 4.388

2.  Serum autoantibodies to pancreatic cancer antigens as biomarkers of pancreatic cancer in a San Francisco Bay Area case-control study.

Authors:  Paige M Bracci; Mi Zhou; Scott Young; Joseph Wiemels
Journal:  Cancer       Date:  2012-04-19       Impact factor: 6.860

Review 3.  A systematic review of serum autoantibodies as biomarkers for pancreatic cancer detection.

Authors:  Karin Dumstrei; Hongda Chen; Hermann Brenner
Journal:  Oncotarget       Date:  2016-03-08
  3 in total

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