Literature DB >> 15703445

Intact-protein-based high-resolution three-dimensional quantitative analysis system for proteome profiling of biological fluids.

Hong Wang1, Shawn G Clouthier, Vladimir Galchev, David E Misek, Ulrich Duffner, Chang-Ki Min, Rong Zhao, John Tra, Gilbert S Omenn, James L M Ferrara, Samir M Hanash.   

Abstract

The substantial complexity and vast dynamic range of protein abundance in biological fluids, notably serum and plasma, present a formidable challenge for comprehensive protein analysis. Integration of multiple technologies is required to achieve high-resolution and high-sensitivity proteomics analysis of biological fluids. We have implemented an orthogonal three-dimensional intact-protein analysis system (IPAS), coupled with protein tagging and immunodepletion of abundant proteins, to quantitatively profile the human plasma proteome. Following immunodepletion, plasma proteins in each of paired samples are concentrated and labeled with a different Cy dye, before mixing. Proteins are subsequently separated in three dimensions according to their charge, hydrophobicity, and molecular mass. Differences in the abundance of resolved proteins are determined based on Cy dye ratios. We have applied this strategy to profile the plasma proteome for changes that occur with acute graft-versus-host disease (GVHD), following allogeneic bone marrow transplantation (BMT). Using capillary HPLC ESI Q-TOF MS, we identified 75 proteins in the micromolar to femtomolar range that exhibited quantitative differences between the pre- and post-GVHD samples. These proteins included serum amyloid A, apolipoproteins A-I/A-IV, and complement C3 that are well-known acute-phase reactants likely reflecting the post-BMT inflammatory state. In addition, we identified some potentially interesting immunologically relevant molecules including vitamin D-binding protein, fetuin, vitronectin, proline-rich protein 3 and 4, integrin-alpha, and leukocyte antigen CD97. IPAS provides a combination of comprehensive profiling and quantitative analysis, with a substantial dynamic range, for disease-related applications.

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Year:  2005        PMID: 15703445     DOI: 10.1074/mcp.M400126-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  36 in total

1.  Increased plasma levels of the APC-interacting protein MAPRE1, LRG1, and IGFBP2 preceding a diagnosis of colorectal cancer in women.

Authors:  Jon J Ladd; Tina Busald; Melissa M Johnson; Qing Zhang; Sharon J Pitteri; Hong Wang; Dean E Brenner; Paul D Lampe; Raju Kucherlapati; Ziding Feng; Ross L Prentice; Samir M Hanash
Journal:  Cancer Prev Res (Phila)       Date:  2012-01-25

Review 2.  Advances and challenges in liquid chromatography-mass spectrometry-based proteomics profiling for clinical applications.

Authors:  Wei-Jun Qian; Jon M Jacobs; Tao Liu; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-08-03       Impact factor: 5.911

Review 3.  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

4.  Enhanced detection of low abundance human plasma proteins using a tandem IgY12-SuperMix immunoaffinity separation strategy.

Authors:  Wei-Jun Qian; David T Kaleta; Brianne O Petritis; Hongliang Jiang; Tao Liu; Xu Zhang; Heather M Mottaz; Susan M Varnum; David G Camp; Lei Huang; Xiangming Fang; Wei-Wei Zhang; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2008-07-15       Impact factor: 5.911

5.  Plasma proteomic analysis of simian immunodeficiency virus infection of rhesus macaques.

Authors:  Jayme L Wiederin; Robert M Donahoe; James R Anderson; Fang Yu; Howard S Fox; Howard E Gendelman; Pawel S Ciborowski
Journal:  J Proteome Res       Date:  2010-09-03       Impact factor: 4.466

Review 6.  Discovery and validation of graft-versus-host disease biomarkers.

Authors:  Sophie Paczesny
Journal:  Blood       Date:  2012-11-19       Impact factor: 22.113

Review 7.  Comparative analysis of the liver and plasma proteomes as a novel and powerful strategy for hepatocellular carcinoma biomarker discovery.

Authors:  Laura Beretta
Journal:  Cancer Lett       Date:  2009-02-15       Impact factor: 8.679

Review 8.  Plasma biomarkers in graft-versus-host disease: a new era?

Authors:  Sophie Paczesny; John E Levine; Thomas M Braun; James L M Ferrara
Journal:  Biol Blood Marrow Transplant       Date:  2009-01       Impact factor: 5.742

9.  Serum proteomic profiling and haptoglobin polymorphisms in patients with GVHD after allogeneic hematopoietic cell transplantation.

Authors:  Joseph McGuirk; Gang Hao; Weijian Hou; Sunil Abhyankar; Casey Williams; Weisi Yan; Jianda Yuan; Xiuqin Guan; Robert Belt; Shaun Dejarnette; Jeffery Wieman; Ying Yan
Journal:  J Hematol Oncol       Date:  2009-04-20       Impact factor: 17.388

10.  Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.

Authors:  Sharon J Pitteri; Lellean JeBailey; Vitor M Faça; Jason D Thorpe; Melissa A Silva; Reneé C Ireton; Marc B Horton; Hong Wang; Liese C Pruitt; Qing Zhang; Kuang H Cheng; Nicole Urban; Samir M Hanash; Daniela M Dinulescu
Journal:  PLoS One       Date:  2009-11-19       Impact factor: 3.240

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