Literature DB >> 18752214

Evaluation of microarray surfaces and arraying parameters for autoantibody profiling.

Imelda Balboni1, Cindy Limb, Jessica D Tenenbaum, Paul J Utz.   

Abstract

Autoantigen microarrays are being used increasingly to study autoimmunity. Significant variation has been observed when comparing microarray surfaces, printing methods, and probing conditions. In the present study, 24 surfaces and several arraying parameters were analyzed using >500 feature autoantigen microarrays printed with quill pins. A small subset of slides, including FAST, PATH, and SuperEpoxy2, performed well while maintaining the sensitivity and specificity of autoantigen microarrays previously demonstrated by our laboratory. By optimizing the major variables in our autoantigen microarray platform, subtle differences in serum samples can be identified that will shed light on disease pathogenesis.

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Year:  2008        PMID: 18752214      PMCID: PMC3335271          DOI: 10.1002/pmic.200800146

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  15 in total

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Journal:  Nat Biotechnol       Date:  2003-08-10       Impact factor: 54.908

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3.  Identification of autoantibody clusters that best predict lupus disease activity using glomerular proteome arrays.

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4.  Antigen microarray profiling of autoantibodies in rheumatoid arthritis.

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6.  Proteomic analysis of secreted proteins in early rheumatoid arthritis: anti-citrulline autoreactivity is associated with up regulation of proinflammatory cytokines.

Authors:  Wolfgang Hueber; Beren H Tomooka; Xiaoyan Zhao; Brian A Kidd; Jan W Drijfhout; James F Fries; Walther J van Venrooij; Allan L Metzger; Mark C Genovese; William H Robinson
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7.  Parallel detection of autoantibodies with microarrays in rheumatoid diseases.

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8.  Functional immunomics: microarray analysis of IgG autoantibody repertoires predicts the future response of mice to induced diabetes.

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Journal:  Genome Biol       Date:  2001-01-22       Impact factor: 13.583

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