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High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies

As an immune evasion strategy, MICA and MICB, the major histocompatibility complex class I homologs, are proteolytically cleaved from the surface of cancer cells leading to impairment of CD8 + T cell- and natural killer cell-mediated immune responses. Antibodies that inhibit MICA/B shedding from tum...

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Autores principales: Lombana, T. Noelle, Matsumoto, Marissa L., Bevers III, Jack, Berkley, Amy M., Toy, Evangeline, Cook, Ryan, Gan, Yutian, Du, Changchun, Liu, Peter, Schnier, Paul, Sandoval, Wendy, Ye, Zhengmao, Schartner, Jill M., Kim, Jeong, Spiess, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343778/
https://www.ncbi.nlm.nih.gov/pubmed/30307368
http://dx.doi.org/10.1080/19420862.2018.1532767
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author Lombana, T. Noelle
Matsumoto, Marissa L.
Bevers III, Jack
Berkley, Amy M.
Toy, Evangeline
Cook, Ryan
Gan, Yutian
Du, Changchun
Liu, Peter
Schnier, Paul
Sandoval, Wendy
Ye, Zhengmao
Schartner, Jill M.
Kim, Jeong
Spiess, Christoph
author_facet Lombana, T. Noelle
Matsumoto, Marissa L.
Bevers III, Jack
Berkley, Amy M.
Toy, Evangeline
Cook, Ryan
Gan, Yutian
Du, Changchun
Liu, Peter
Schnier, Paul
Sandoval, Wendy
Ye, Zhengmao
Schartner, Jill M.
Kim, Jeong
Spiess, Christoph
author_sort Lombana, T. Noelle
collection PubMed
description As an immune evasion strategy, MICA and MICB, the major histocompatibility complex class I homologs, are proteolytically cleaved from the surface of cancer cells leading to impairment of CD8 + T cell- and natural killer cell-mediated immune responses. Antibodies that inhibit MICA/B shedding from tumors have therapeutic potential, but the optimal epitopes are unknown. Therefore, we developed a high-resolution, high-throughput glycosylation-engineered epitope mapping (GEM) method, which utilizes site-specific insertion of N-linked glycans onto the antigen surface to mask local regions. We apply GEM to the discovery of epitopes important for shedding inhibition of MICA/B and validate the epitopes at the residue level by alanine scanning and X-ray crystallography (Protein Data Bank accession numbers 6DDM (1D5 Fab-MICA*008), 6DDR (13A9 Fab-MICA*008), 6DDV (6E1 Fab-MICA*008). Furthermore, we show that potent inhibition of MICA shedding can be achieved by antibodies that bind GEM epitopes adjacent to previously reported cleavage sites, and that these anti-MICA/B antibodies can prevent tumor growth in vivo.
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spelling pubmed-63437782019-02-01 High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies Lombana, T. Noelle Matsumoto, Marissa L. Bevers III, Jack Berkley, Amy M. Toy, Evangeline Cook, Ryan Gan, Yutian Du, Changchun Liu, Peter Schnier, Paul Sandoval, Wendy Ye, Zhengmao Schartner, Jill M. Kim, Jeong Spiess, Christoph MAbs Report As an immune evasion strategy, MICA and MICB, the major histocompatibility complex class I homologs, are proteolytically cleaved from the surface of cancer cells leading to impairment of CD8 + T cell- and natural killer cell-mediated immune responses. Antibodies that inhibit MICA/B shedding from tumors have therapeutic potential, but the optimal epitopes are unknown. Therefore, we developed a high-resolution, high-throughput glycosylation-engineered epitope mapping (GEM) method, which utilizes site-specific insertion of N-linked glycans onto the antigen surface to mask local regions. We apply GEM to the discovery of epitopes important for shedding inhibition of MICA/B and validate the epitopes at the residue level by alanine scanning and X-ray crystallography (Protein Data Bank accession numbers 6DDM (1D5 Fab-MICA*008), 6DDR (13A9 Fab-MICA*008), 6DDV (6E1 Fab-MICA*008). Furthermore, we show that potent inhibition of MICA shedding can be achieved by antibodies that bind GEM epitopes adjacent to previously reported cleavage sites, and that these anti-MICA/B antibodies can prevent tumor growth in vivo. Taylor & Francis 2018-11-22 /pmc/articles/PMC6343778/ /pubmed/30307368 http://dx.doi.org/10.1080/19420862.2018.1532767 Text en © 2018 The Author(s). Published by Taylor & Francis. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Report
Lombana, T. Noelle
Matsumoto, Marissa L.
Bevers III, Jack
Berkley, Amy M.
Toy, Evangeline
Cook, Ryan
Gan, Yutian
Du, Changchun
Liu, Peter
Schnier, Paul
Sandoval, Wendy
Ye, Zhengmao
Schartner, Jill M.
Kim, Jeong
Spiess, Christoph
High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title_full High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title_fullStr High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title_full_unstemmed High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title_short High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies
title_sort high-resolution glycosylation site-engineering method identifies mica epitope critical for shedding inhibition activity of anti-mica antibodies
topic Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6343778/
https://www.ncbi.nlm.nih.gov/pubmed/30307368
http://dx.doi.org/10.1080/19420862.2018.1532767
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