Literature DB >> 16844680

Identification of protein expression signatures associated with Helicobacter pylori infection and gastric adenocarcinoma using recombinant antibody microarrays.

Peter Ellmark1, Johan Ingvarsson, Anders Carlsson, B Samuel Lundin, Christer Wingren, Carl A K Borrebaeck.   

Abstract

Antibody microarray based technology is a powerful emerging tool in proteomics, target discovery, and differential analysis. Here, we report the first study where recombinant antibody fragments have been used to construct large scale antibody microarrays, composed of 127 different antibodies against mostly immunoregulatory antigens. The arrays were based on single framework recombinant antibody fragments (SinFabs) designed for high on-chip stability and functionality and were used for the analysis of malignant and normal stomach tissue samples from Helicobacter pylori-positive and -negative patients. Our results demonstrate that distinct tumor- as well as infection-associated protein expression signatures could be identified from these complex tissue proteomes, as well as biomarkers such as IL-9, IL-11, and MCP-4, previously not found in these diseases. In a longer perspective, this study may improve the understanding of H. pylori-induced stomach cancer and lead to development of improved diagnostics.

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Year:  2006        PMID: 16844680     DOI: 10.1074/mcp.M600170-MCP200

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


  22 in total

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Review 4.  Helicobacter pylori Deregulates T and B Cell Signaling to Trigger Immune Evasion.

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Review 8.  Role of the tumor microenvironment in the pathogenesis of gastric carcinoma.

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10.  Serum protein profiling of systemic lupus erythematosus and systemic sclerosis using recombinant antibody microarrays.

Authors:  Anders Carlsson; Dirk M Wuttge; Johan Ingvarsson; Anders A Bengtsson; Gunnar Sturfelt; Carl A K Borrebaeck; Christer Wingren
Journal:  Mol Cell Proteomics       Date:  2011-02-24       Impact factor: 5.911

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