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Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments

Profiling the autoantibody repertoire with large antigen collections is emerging as a powerful tool for the identification of biomarkers for autoimmune diseases. Here, a systematic and undirected approach was taken to screen for profiles of IgG in human plasma from 90 individuals with multiple scler...

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Autores principales: Ayoglu, Burcu, Häggmark, Anna, Khademi, Mohsen, Olsson, Tomas, Uhlén, Mathias, Schwenk, Jochen M., Nilsson, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769337/
https://www.ncbi.nlm.nih.gov/pubmed/23732997
http://dx.doi.org/10.1074/mcp.M112.026757
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author Ayoglu, Burcu
Häggmark, Anna
Khademi, Mohsen
Olsson, Tomas
Uhlén, Mathias
Schwenk, Jochen M.
Nilsson, Peter
author_facet Ayoglu, Burcu
Häggmark, Anna
Khademi, Mohsen
Olsson, Tomas
Uhlén, Mathias
Schwenk, Jochen M.
Nilsson, Peter
author_sort Ayoglu, Burcu
collection PubMed
description Profiling the autoantibody repertoire with large antigen collections is emerging as a powerful tool for the identification of biomarkers for autoimmune diseases. Here, a systematic and undirected approach was taken to screen for profiles of IgG in human plasma from 90 individuals with multiple sclerosis related diagnoses. Reactivity pattern of 11,520 protein fragments (representing ∼38% of all human protein encoding genes) were generated on planar protein microarrays built within the Human Protein Atlas. For more than 2,000 antigens IgG reactivity was observed, among which 64% were found only in single individuals. We used reactivity distributions among multiple sclerosis subgroups to select 384 antigens, which were then re-evaluated on planar microarrays, corroborated with suspension bead arrays in a larger cohort (n = 376) and confirmed for specificity in inhibition assays. Among the heterogeneous pattern within and across multiple sclerosis subtypes, differences in recognition frequencies were found for 51 antigens, which were enriched for proteins of transcriptional regulation. In conclusion, using protein fragments and complementary high-throughput protein array platforms facilitated an alternative route to discovery and verification of potentially disease-associated autoimmunity signatures, that are now proposed as additional antigens for large-scale validation studies across multiple sclerosis biobanks.
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spelling pubmed-37693372013-09-16 Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments Ayoglu, Burcu Häggmark, Anna Khademi, Mohsen Olsson, Tomas Uhlén, Mathias Schwenk, Jochen M. Nilsson, Peter Mol Cell Proteomics Technological Innovation and Resources Profiling the autoantibody repertoire with large antigen collections is emerging as a powerful tool for the identification of biomarkers for autoimmune diseases. Here, a systematic and undirected approach was taken to screen for profiles of IgG in human plasma from 90 individuals with multiple sclerosis related diagnoses. Reactivity pattern of 11,520 protein fragments (representing ∼38% of all human protein encoding genes) were generated on planar protein microarrays built within the Human Protein Atlas. For more than 2,000 antigens IgG reactivity was observed, among which 64% were found only in single individuals. We used reactivity distributions among multiple sclerosis subgroups to select 384 antigens, which were then re-evaluated on planar microarrays, corroborated with suspension bead arrays in a larger cohort (n = 376) and confirmed for specificity in inhibition assays. Among the heterogeneous pattern within and across multiple sclerosis subtypes, differences in recognition frequencies were found for 51 antigens, which were enriched for proteins of transcriptional regulation. In conclusion, using protein fragments and complementary high-throughput protein array platforms facilitated an alternative route to discovery and verification of potentially disease-associated autoimmunity signatures, that are now proposed as additional antigens for large-scale validation studies across multiple sclerosis biobanks. The American Society for Biochemistry and Molecular Biology 2013-09 2013-06-03 /pmc/articles/PMC3769337/ /pubmed/23732997 http://dx.doi.org/10.1074/mcp.M112.026757 Text en © 2013 by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version full access.
spellingShingle Technological Innovation and Resources
Ayoglu, Burcu
Häggmark, Anna
Khademi, Mohsen
Olsson, Tomas
Uhlén, Mathias
Schwenk, Jochen M.
Nilsson, Peter
Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title_full Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title_fullStr Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title_full_unstemmed Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title_short Autoantibody Profiling in Multiple Sclerosis Using Arrays of Human Protein Fragments
title_sort autoantibody profiling in multiple sclerosis using arrays of human protein fragments
topic Technological Innovation and Resources
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3769337/
https://www.ncbi.nlm.nih.gov/pubmed/23732997
http://dx.doi.org/10.1074/mcp.M112.026757
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