Literature DB >> 23027520

A versatile protein microarray platform enabling antibody profiling against denatured proteins.

Jie Wang1, Kristi Barker, Jason Steel, Jin Park, Justin Saul, Fernanda Festa, Garrick Wallstrom, Xiaobo Yu, Xiaofang Bian, Karen S Anderson, Jonine D Figueroa, Joshua LaBaer, Ji Qiu.   

Abstract

PURPOSE: We aim to develop a protein microarray platform capable of presenting both natural and denatured forms of proteins for antibody biomarker discovery. We will further optimize plasma screening protocols to improve detection. EXPERIMENTAL
DESIGN: We developed a new covalent capture protein microarray chemistry using HaloTag fusion proteins and ligand. To enhance protein yield, we used HeLa cell lysate as an in vitro transcription translation (IVTT) system. Escherichia coli lysates were added to the plasma blocking buffer to reduce nonspecific background. These protein microarrays were probed with plasma samples and autoantibody responses were quantified and compared with or without denaturing buffer treatment.
RESULTS: We demonstrated that protein microarrays using the covalent attachment chemistry endured denaturing conditions. Blocking with E. coli lysates greatly reduced the background signals and expression with IVTT based on HeLa cell lysates significantly improved the antibody signals on protein microarrays probed with plasma samples. Plasma samples probed on denatured protein arrays produced autoantibody profiles distinct from those probed on natively displayed proteins. CONCLUSIONS AND CLINICAL RELEVANCE: This versatile protein microarray platform allows the display of both natural and denatured proteins, offers a new dimension to search for disease-specific antibodies, broadens the repertoire of potential biomarkers, and will potentially yield clinical diagnostics with greater performance.
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2013        PMID: 23027520      PMCID: PMC4127978          DOI: 10.1002/prca.201200062

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  20 in total

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4.  Global analysis of protein activities using proteome chips.

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Journal:  Science       Date:  2001-07-26       Impact factor: 47.728

5.  Applications of protein microarrays for biomarker discovery.

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Journal:  Proteomics Clin Appl       Date:  2008-09-10       Impact factor: 3.494

6.  Self-assembling protein microarrays.

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7.  Genome-wide study of Pseudomonas aeruginosa outer membrane protein immunogenicity using self-assembling protein microarrays.

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  21 in total

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Authors:  Junshi Yazaki; Mary Galli; Alice Y Kim; Kazumasa Nito; Fernando Aleman; Katherine N Chang; Anne-Ruxandra Carvunis; Rosa Quan; Hien Nguyen; Liang Song; José M Alvarez; Shao-Shan Carol Huang; Huaming Chen; Niroshan Ramachandran; Stefan Altmann; Rodrigo A Gutiérrez; David E Hill; Julian I Schroeder; Joanne Chory; Joshua LaBaer; Marc Vidal; Pascal Braun; Joseph R Ecker
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-29       Impact factor: 11.205

2.  Autoantibody biomarkers for the detection of serous ovarian cancer.

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Review 4.  Tumor protein D52 (TPD52) and cancer-oncogene understudy or understudied oncogene?

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5.  HeLa Based Cell Free Expression Systems for Expression of Plasmodium Rhoptry Proteins.

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6.  Plasma Autoantibodies Associated with Basal-like Breast Cancers.

Authors:  Jie Wang; Jonine D Figueroa; Garrick Wallstrom; Kristi Barker; Jin G Park; Gokhan Demirkan; Jolanta Lissowska; Karen S Anderson; Ji Qiu; Joshua LaBaer
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-06-12       Impact factor: 4.254

7.  Host-pathogen interaction profiling using self-assembling human protein arrays.

Authors:  Xiaobo Yu; Kimberly B Decker; Kristi Barker; M Ramona Neunuebel; Justin Saul; Morgan Graves; Nathan Westcott; Howard Hang; Joshua LaBaer; Ji Qiu; Matthias P Machner
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9.  Proteomic mapping of p53 immunogenicity in pancreatic, ovarian, and breast cancers.

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10.  Proteomic Monitoring of B Cell Immunity.

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