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High-Resolution Analysis of Antibodies to Post-Translational Modifications Using Peptide Nanosensor Microarrays

Title
High-Resolution Analysis of Antibodies to Post-Translational Modifications Using Peptide Nanosensor Microarrays
Authors
Lee, Jung-RokHaddon, D. JamesGupta, NidhiPrice, Jordan V.Credo, Grace M.Diep, Vivian K.Kim, KyunglokHall, Drew A.Baechler, Emily C.Petri, MichelleVarma, MadooUtz, Paul J.Wang, Shan X.
Ewha Authors
이정록
SCOPUS Author ID
이정록scopus
Issue Date
2016
Journal Title
ACS NANO
ISSN
1936-0851JCR Link

1936-086XJCR Link
Citation
ACS NANO vol. 10, no. 12, pp. 10652 - 10660
Keywords
nanosensorspeptide microarrayregenerationgiant magnetoresistanceautoantibodylupus
Publisher
AMER CHEMICAL SOC
Indexed
SCIE; SCOPUS WOS
Document Type
Article
Abstract
Autoantibodies are a hallmark of autoimmune diseases such as lupus and have the potential to be used as biomarkers for diverse diseases, including immunodeficiency, infectious disease, and cancer. More precise detection of antibodies to specific targets is needed to improve diagnosis of such diseases. Here, we report the development of reusable peptide microarrays, based on giant magnetoresistive (GMR) nanosensors optimized for sensitively detecting magnetic nanoparticle labels, for the detection of antibodies with a resolution of a single post-translationally modified amino acid. We have also developed a chemical regeneration scheme to perform multiplex assays with a high level of reproducibility, resulting in greatly reduced experimental costs. In addition, we show that peptides synthesized directly on the nanosensors are approximately two times more sensitive than directly spotted peptides. Reusable peptide nanosensor microarrays enable precise detection of autoantibodies with high resolution and sensitivity and show promise for investigating antibody-mediated immune responses to autoantigens, vaccines, and pathogen-derived antigens as well as other fundamental peptide protein interactions.
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DOI
10.1021/acsnano.6b03786
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엘텍공과대학 > 휴먼기계바이오공학부 > Journal papers
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