Impact of Antigen Density on Recognition by Monoclonal Antibodies
Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immuno...
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description | Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immunotherapy. In this context, CD20 which is expressed in the membrane of B cells has received significant attention as target for immunotherapy of leukemia and lymphoma using the monoclonal antibody rituximab. To systematically study the impact of CD20 density on antibody recognition, we designed self-assembled monolayers that display tunable CD20 epitope densities. For this purpose, we developed in situ click chemistry to functionalize SPR sensor chips. We find that the rituximab binding affinity depends sensitively and nonmonotonously on CD20 surface density. Strongest binding, with an equilibrium dissociation constant (K D = 32 nM) close to values previously reported from in vitro analysis with B cells (apparent K D between 5 and 19 nM), was obtained for an average inter-antigen spacing of 2 nm. This distance is required for improving rituximab recognition, and in agreement with the known requirement of CD20 to form clusters to elicit a biological response. More generally, this study offers an interesting outlook in the understanding of the necessity of epitope clusters for effective mAb recognition. |
doi_str_mv | 10.1021/acs.analchem.0c00092 |
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In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immunotherapy. In this context, CD20 which is expressed in the membrane of B cells has received significant attention as target for immunotherapy of leukemia and lymphoma using the monoclonal antibody rituximab. To systematically study the impact of CD20 density on antibody recognition, we designed self-assembled monolayers that display tunable CD20 epitope densities. For this purpose, we developed in situ click chemistry to functionalize SPR sensor chips. We find that the rituximab binding affinity depends sensitively and nonmonotonously on CD20 surface density. Strongest binding, with an equilibrium dissociation constant (K D = 32 nM) close to values previously reported from in vitro analysis with B cells (apparent K D between 5 and 19 nM), was obtained for an average inter-antigen spacing of 2 nm. This distance is required for improving rituximab recognition, and in agreement with the known requirement of CD20 to form clusters to elicit a biological response. More generally, this study offers an interesting outlook in the understanding of the necessity of epitope clusters for effective mAb recognition.</description><identifier>ISSN: 0003-2700</identifier><identifier>ISSN: 0003-2697</identifier><identifier>ISSN: 1096-0309</identifier><identifier>EISSN: 1520-6882</identifier><identifier>DOI: 10.1021/acs.analchem.0c00092</identifier><identifier>PMID: 32200619</identifier><language>eng</language><publisher>WASHINGTON: American Chemical Society</publisher><subject>Analytical chemistry ; Antibodies, Monoclonal - immunology ; Antigens ; Antigens - immunology ; Binding ; CD20 antigen ; Cell death ; Cell surface ; Chemical Sciences ; Chemical synthesis ; Chemistry ; Chemistry, Analytical ; Click Chemistry ; Clusters ; Density ; Epitopes ; Immunology ; Immunotherapy ; Kinetics ; Leukemia ; Life Sciences ; Lymphocytes B ; Lymphoma ; Monoclonal antibodies ; Physical Sciences ; Recognition ; Rituximab ; Rituximab - immunology ; Science & Technology ; Self-assembled monolayers ; Self-assembly ; Surface Plasmon Resonance ; Targeted cancer therapy</subject><ispartof>Analytical biochemistry, 2020-04, Vol.92 (7), p.5396-5403</ispartof><rights>Copyright American Chemical Society Apr 7, 2020</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>12</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000526569200089</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-a494t-201424e53026d35d35df4d4d351f305d65ee67ac261911c35bc8d5207475a8113</citedby><cites>FETCH-LOGICAL-a494t-201424e53026d35d35df4d4d351f305d65ee67ac261911c35bc8d5207475a8113</cites><orcidid>0000-0002-2434-2959 ; 0000-0003-3071-2837 ; 0000-0003-2530-0299 ; 0000-0003-1466-0563 ; 0000-0003-0634-7091 ; 0000-0002-0049-6726 ; 0000-0003-0028-6670</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/acs.analchem.0c00092$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/acs.analchem.0c00092$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>230,315,781,785,886,2766,27081,27929,27930,28253,56743,56793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32200619$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-02565754$$DView record in HAL$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-216592$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Bar, Laure</creatorcontrib><creatorcontrib>Dejeu, Jérôme</creatorcontrib><creatorcontrib>Lartia, Rémy</creatorcontrib><creatorcontrib>Bano, Fouzia</creatorcontrib><creatorcontrib>Richter, Ralf P</creatorcontrib><creatorcontrib>Coche-Guérente, Liliane</creatorcontrib><creatorcontrib>Boturyn, Didier</creatorcontrib><title>Impact of Antigen Density on Recognition by Monoclonal Antibodies</title><title>Analytical biochemistry</title><addtitle>ANAL CHEM</addtitle><addtitle>Anal. Chem</addtitle><description>Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immunotherapy. In this context, CD20 which is expressed in the membrane of B cells has received significant attention as target for immunotherapy of leukemia and lymphoma using the monoclonal antibody rituximab. To systematically study the impact of CD20 density on antibody recognition, we designed self-assembled monolayers that display tunable CD20 epitope densities. For this purpose, we developed in situ click chemistry to functionalize SPR sensor chips. We find that the rituximab binding affinity depends sensitively and nonmonotonously on CD20 surface density. Strongest binding, with an equilibrium dissociation constant (K D = 32 nM) close to values previously reported from in vitro analysis with B cells (apparent K D between 5 and 19 nM), was obtained for an average inter-antigen spacing of 2 nm. This distance is required for improving rituximab recognition, and in agreement with the known requirement of CD20 to form clusters to elicit a biological response. More generally, this study offers an interesting outlook in the understanding of the necessity of epitope clusters for effective mAb recognition.</description><subject>Analytical chemistry</subject><subject>Antibodies, Monoclonal - immunology</subject><subject>Antigens</subject><subject>Antigens - immunology</subject><subject>Binding</subject><subject>CD20 antigen</subject><subject>Cell death</subject><subject>Cell surface</subject><subject>Chemical Sciences</subject><subject>Chemical synthesis</subject><subject>Chemistry</subject><subject>Chemistry, Analytical</subject><subject>Click Chemistry</subject><subject>Clusters</subject><subject>Density</subject><subject>Epitopes</subject><subject>Immunology</subject><subject>Immunotherapy</subject><subject>Kinetics</subject><subject>Leukemia</subject><subject>Life Sciences</subject><subject>Lymphocytes B</subject><subject>Lymphoma</subject><subject>Monoclonal antibodies</subject><subject>Physical Sciences</subject><subject>Recognition</subject><subject>Rituximab</subject><subject>Rituximab - immunology</subject><subject>Science & Technology</subject><subject>Self-assembled monolayers</subject><subject>Self-assembly</subject><subject>Surface Plasmon Resonance</subject><subject>Targeted cancer therapy</subject><issn>0003-2700</issn><issn>0003-2697</issn><issn>1096-0309</issn><issn>1520-6882</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><sourceid>EIF</sourceid><recordid>eNqNkVGL1DAUhYMo7uzqPxAp-OIiHe9Nk7R9LLPqLowIor6GNE1ns7TJ2LQu8-9Nt7MD-iCGQMLluyfn5hDyCmGNQPG90mGtnOr0renXoAGgpE_ICjmFVBQFfUpWsZalNAc4I-ch3AEgAorn5CyjFEBguSLVTb9Xekx8m1RutDvjkivjgh0PiXfJV6P9ztnRxnt9SD5753Xn46MPcO0ba8IL8qxVXTAvj-cF-f7xw7fNdbr98ulmU21TxUo2phSQUWZ4BlQ0GZ93yxoWT2wz4I3gxohcaRptIeqM17po4iw5y7kqELMLki664d7sp1ruB9ur4SC9svLK_qikH3Zy6idJUfCSRv5y4W9V9wd8XW3lXAPKBc85-zVrv13Y_eB_TiaMsrdBm65TzvgpSJoVWLC8xDyib_5C7_w0xC95oOLilLJIsYXSgw9hMO3JAYKc45MxPvkYnzzGF9teH8WnujfNqekxrwi8W4B7U_s2aGucNicsinAquCgjDcVMF_9Pb-yo5qA3fnJjbIWldfZ5mvCf5n8DFdfGgg</recordid><startdate>20200407</startdate><enddate>20200407</enddate><creator>Bar, Laure</creator><creator>Dejeu, Jérôme</creator><creator>Lartia, Rémy</creator><creator>Bano, Fouzia</creator><creator>Richter, Ralf P</creator><creator>Coche-Guérente, Liliane</creator><creator>Boturyn, Didier</creator><general>American Chemical Society</general><general>Amer Chemical Soc</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7TA</scope><scope>7TB</scope><scope>7TM</scope><scope>7U5</scope><scope>7U7</scope><scope>7U9</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H94</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><scope>1XC</scope><scope>VOOES</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D93</scope><orcidid>https://orcid.org/0000-0002-2434-2959</orcidid><orcidid>https://orcid.org/0000-0003-3071-2837</orcidid><orcidid>https://orcid.org/0000-0003-2530-0299</orcidid><orcidid>https://orcid.org/0000-0003-1466-0563</orcidid><orcidid>https://orcid.org/0000-0003-0634-7091</orcidid><orcidid>https://orcid.org/0000-0002-0049-6726</orcidid><orcidid>https://orcid.org/0000-0003-0028-6670</orcidid></search><sort><creationdate>20200407</creationdate><title>Impact of Antigen Density on Recognition by Monoclonal Antibodies</title><author>Bar, Laure ; Dejeu, Jérôme ; Lartia, Rémy ; Bano, Fouzia ; Richter, Ralf P ; Coche-Guérente, Liliane ; Boturyn, Didier</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a494t-201424e53026d35d35df4d4d351f305d65ee67ac261911c35bc8d5207475a8113</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Analytical chemistry</topic><topic>Antibodies, Monoclonal - immunology</topic><topic>Antigens</topic><topic>Antigens - immunology</topic><topic>Binding</topic><topic>CD20 antigen</topic><topic>Cell death</topic><topic>Cell surface</topic><topic>Chemical Sciences</topic><topic>Chemical synthesis</topic><topic>Chemistry</topic><topic>Chemistry, Analytical</topic><topic>Click Chemistry</topic><topic>Clusters</topic><topic>Density</topic><topic>Epitopes</topic><topic>Immunology</topic><topic>Immunotherapy</topic><topic>Kinetics</topic><topic>Leukemia</topic><topic>Life Sciences</topic><topic>Lymphocytes B</topic><topic>Lymphoma</topic><topic>Monoclonal antibodies</topic><topic>Physical Sciences</topic><topic>Recognition</topic><topic>Rituximab</topic><topic>Rituximab - immunology</topic><topic>Science & Technology</topic><topic>Self-assembled monolayers</topic><topic>Self-assembly</topic><topic>Surface Plasmon Resonance</topic><topic>Targeted cancer therapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bar, Laure</creatorcontrib><creatorcontrib>Dejeu, Jérôme</creatorcontrib><creatorcontrib>Lartia, Rémy</creatorcontrib><creatorcontrib>Bano, Fouzia</creatorcontrib><creatorcontrib>Richter, Ralf P</creatorcontrib><creatorcontrib>Coche-Guérente, Liliane</creatorcontrib><creatorcontrib>Boturyn, Didier</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Umeå universitet</collection><jtitle>Analytical biochemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bar, Laure</au><au>Dejeu, Jérôme</au><au>Lartia, Rémy</au><au>Bano, Fouzia</au><au>Richter, Ralf P</au><au>Coche-Guérente, Liliane</au><au>Boturyn, Didier</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Impact of Antigen Density on Recognition by Monoclonal Antibodies</atitle><jtitle>Analytical biochemistry</jtitle><stitle>ANAL CHEM</stitle><addtitle>Anal. Chem</addtitle><date>2020-04-07</date><risdate>2020</risdate><volume>92</volume><issue>7</issue><spage>5396</spage><epage>5403</epage><pages>5396-5403</pages><issn>0003-2700</issn><issn>0003-2697</issn><issn>1096-0309</issn><eissn>1520-6882</eissn><abstract>Understanding antigen–antibody interactions is important to many emerging medical and bioanalytical applications. In particular, the levels of antigen expression at the cell surface may determine antibody-mediated cell death. This parameter has a clear effect on outcome in patients undergoing immunotherapy. In this context, CD20 which is expressed in the membrane of B cells has received significant attention as target for immunotherapy of leukemia and lymphoma using the monoclonal antibody rituximab. To systematically study the impact of CD20 density on antibody recognition, we designed self-assembled monolayers that display tunable CD20 epitope densities. For this purpose, we developed in situ click chemistry to functionalize SPR sensor chips. We find that the rituximab binding affinity depends sensitively and nonmonotonously on CD20 surface density. Strongest binding, with an equilibrium dissociation constant (K D = 32 nM) close to values previously reported from in vitro analysis with B cells (apparent K D between 5 and 19 nM), was obtained for an average inter-antigen spacing of 2 nm. This distance is required for improving rituximab recognition, and in agreement with the known requirement of CD20 to form clusters to elicit a biological response. 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subjects | Analytical chemistry Antibodies, Monoclonal - immunology Antigens Antigens - immunology Binding CD20 antigen Cell death Cell surface Chemical Sciences Chemical synthesis Chemistry Chemistry, Analytical Click Chemistry Clusters Density Epitopes Immunology Immunotherapy Kinetics Leukemia Life Sciences Lymphocytes B Lymphoma Monoclonal antibodies Physical Sciences Recognition Rituximab Rituximab - immunology Science & Technology Self-assembled monolayers Self-assembly Surface Plasmon Resonance Targeted cancer therapy |
title | Impact of Antigen Density on Recognition by Monoclonal Antibodies |
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