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High-throughput identification of autoantibodies that target the human exoproteome

Autoantibodies that recognize extracellular proteins (the exoproteome) exert potent biological effects but are challenging to detect. Here, we developed rapid extracellular antigen profiling (REAP), a high-throughput technique for the comprehensive discovery of exoproteome-targeting autoantibodies....

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Autores principales: Wang, Eric Y., Dai, Yile, Rosen, Connor E., Schmitt, Monica M., Dong, Mei X., Ferré, Elise M.N., Liu, Feimei, Yang, Yi, González-Hernández, Jaime A., Meffre, Eric, Hinchcliff, Monique, Koumpouras, Fotios, Lionakis, Michail S., Ring, Aaron M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967185/
https://www.ncbi.nlm.nih.gov/pubmed/35360706
http://dx.doi.org/10.1016/j.crmeth.2022.100172
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author Wang, Eric Y.
Dai, Yile
Rosen, Connor E.
Schmitt, Monica M.
Dong, Mei X.
Ferré, Elise M.N.
Liu, Feimei
Yang, Yi
González-Hernández, Jaime A.
Meffre, Eric
Hinchcliff, Monique
Koumpouras, Fotios
Lionakis, Michail S.
Ring, Aaron M.
author_facet Wang, Eric Y.
Dai, Yile
Rosen, Connor E.
Schmitt, Monica M.
Dong, Mei X.
Ferré, Elise M.N.
Liu, Feimei
Yang, Yi
González-Hernández, Jaime A.
Meffre, Eric
Hinchcliff, Monique
Koumpouras, Fotios
Lionakis, Michail S.
Ring, Aaron M.
author_sort Wang, Eric Y.
collection PubMed
description Autoantibodies that recognize extracellular proteins (the exoproteome) exert potent biological effects but are challenging to detect. Here, we developed rapid extracellular antigen profiling (REAP), a high-throughput technique for the comprehensive discovery of exoproteome-targeting autoantibodies. Patient samples are applied to a genetically barcoded yeast surface display library containing 2,688 human extracellular proteins. Antibody-coated yeast are isolated, and sequencing of barcodes is used to identify displayed antigens. To benchmark REAP’s performance, we screened 77 patients with autoimmune polyglandular syndrome type 1 (APS-1). REAP sensitively and specifically detected both known and previously unidentified autoantibodies in APS-1. We further screened 106 patients with systemic lupus erythematosus (SLE) and identified numerous autoantibodies, several of which were associated with disease severity or specific clinical manifestations and exerted functional effects on cell signaling ex vivo. These findings demonstrate the utility of REAP to atlas the expansive landscape of exoproteome-targeting autoantibodies and their impacts on patient health outcomes.
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spelling pubmed-89671852022-03-30 High-throughput identification of autoantibodies that target the human exoproteome Wang, Eric Y. Dai, Yile Rosen, Connor E. Schmitt, Monica M. Dong, Mei X. Ferré, Elise M.N. Liu, Feimei Yang, Yi González-Hernández, Jaime A. Meffre, Eric Hinchcliff, Monique Koumpouras, Fotios Lionakis, Michail S. Ring, Aaron M. Cell Rep Methods Article Autoantibodies that recognize extracellular proteins (the exoproteome) exert potent biological effects but are challenging to detect. Here, we developed rapid extracellular antigen profiling (REAP), a high-throughput technique for the comprehensive discovery of exoproteome-targeting autoantibodies. Patient samples are applied to a genetically barcoded yeast surface display library containing 2,688 human extracellular proteins. Antibody-coated yeast are isolated, and sequencing of barcodes is used to identify displayed antigens. To benchmark REAP’s performance, we screened 77 patients with autoimmune polyglandular syndrome type 1 (APS-1). REAP sensitively and specifically detected both known and previously unidentified autoantibodies in APS-1. We further screened 106 patients with systemic lupus erythematosus (SLE) and identified numerous autoantibodies, several of which were associated with disease severity or specific clinical manifestations and exerted functional effects on cell signaling ex vivo. These findings demonstrate the utility of REAP to atlas the expansive landscape of exoproteome-targeting autoantibodies and their impacts on patient health outcomes. Elsevier 2022-02-17 /pmc/articles/PMC8967185/ /pubmed/35360706 http://dx.doi.org/10.1016/j.crmeth.2022.100172 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Wang, Eric Y.
Dai, Yile
Rosen, Connor E.
Schmitt, Monica M.
Dong, Mei X.
Ferré, Elise M.N.
Liu, Feimei
Yang, Yi
González-Hernández, Jaime A.
Meffre, Eric
Hinchcliff, Monique
Koumpouras, Fotios
Lionakis, Michail S.
Ring, Aaron M.
High-throughput identification of autoantibodies that target the human exoproteome
title High-throughput identification of autoantibodies that target the human exoproteome
title_full High-throughput identification of autoantibodies that target the human exoproteome
title_fullStr High-throughput identification of autoantibodies that target the human exoproteome
title_full_unstemmed High-throughput identification of autoantibodies that target the human exoproteome
title_short High-throughput identification of autoantibodies that target the human exoproteome
title_sort high-throughput identification of autoantibodies that target the human exoproteome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8967185/
https://www.ncbi.nlm.nih.gov/pubmed/35360706
http://dx.doi.org/10.1016/j.crmeth.2022.100172
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