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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2013
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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. |
format | Online Article Text |
id | pubmed-3769337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
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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