A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination

Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Molecular TCR analysis is an appealing strategy but currently requires a targeted methodology involving com...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of molecular sciences 2023-09, Vol.24 (18), p.14223
Hauptverfasser: Li, Dalin, Pavlovitch-Bedzyk, Ana Jimena, Ebinger, Joseph E, Khan, Abdul, Hamideh, Mohamed, Merchant, Akil, Figueiredo, Jane C, Cheng, Susan, Davis, Mark M, McGovern, Dermot P B, Melmed, Gil Y, Xu, Alexander M, Braun, Jonathan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 18
container_start_page 14223
container_title International journal of molecular sciences
container_volume 24
creator Li, Dalin
Pavlovitch-Bedzyk, Ana Jimena
Ebinger, Joseph E
Khan, Abdul
Hamideh, Mohamed
Merchant, Akil
Figueiredo, Jane C
Cheng, Susan
Davis, Mark M
McGovern, Dermot P B
Melmed, Gil Y
Xu, Alexander M
Braun, Jonathan
description Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Molecular TCR analysis is an appealing strategy but currently requires a targeted methodology involving complex integration of ex vivo data (antigen-specific functional T-cell cytokine responses and TCR molecular responses) that uncover only public antigen-specific metrics. Here, we describe an untargeted private TCR method that measures breadth and depth metrics of the T-cell response to vaccine challenge using a simple pre- and post-vaccine subject sampling, TCR immunoseq analysis, and a bioinformatic approach using self-organizing maps and GLIPH2. Among 515 subjects undergoing SARS-CoV-2 mRNA vaccination, we found that breadth and depth metrics were moderately correlated between the targeted public TCR response and untargeted private TCR response methods. The untargeted private TCR method was sufficiently sensitive to distinguish subgroups of potential clinical significance also observed using public TCR methods (the reduced T-cell vaccine response with age and the paradoxically elevated T-cell vaccine response of patients on anti-TNF immunotherapy). These observations suggest the promise of this untargeted private TCR method to produce T-cell vaccine-response metrics in an antigen-agnostic and individual-autonomous context.
doi_str_mv 10.3390/ijms241814223
format Article
fullrecord <record><control><sourceid>gale_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10531868</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A771811737</galeid><sourcerecordid>A771811737</sourcerecordid><originalsourceid>FETCH-LOGICAL-c439t-274fe6050d2b011c2bb837bf7113d00984c075ea48a319d9d4069764b624a713</originalsourceid><addsrcrecordid>eNptkk1v1DAQhiMEoh9w5IosceGS4q_EyQktoVCkIqrtqlfLcSaNV4m92E4l_gi_t466lC5CPsxo_MxrzfjNsjcEnzFW4w9mOwXKSUU4pexZdrzEHONSPH-SH2UnIWwxpowW9cvsiAlR0oLy4-z3Cl0pr6LbQX5uB2U1dOg7xMF1KDr0GSL4yVhAnzyoLg5I2S5VdynbNGvUjM6qcWnwRgfkehQHQFfe3KkI6GKelEWbvIFxRDdK60VoDWHnbACk-qSNrlfr67xxNzndEyoaZ19lL3o1Bni9j6fZ5sv5prnIL398_dasLnPNWR1zKngPJS5wR1tMiKZtWzHR9oIQ1mFcV1xjUYDilWKk7uqO47IWJW9LypUg7DT7-CC7m9sJOg02ejXKnTeT8r-kU0Ye3lgzyFt3JwkuGKnKKim83yt493OGEOVkgk7zKgtuDpJWAhNW1RVN6Lt_0K2bfVrfQpU1qwoq2F_qVo0gje1delgvonIlRPpnIphI1Nl_qHQ6mIx2FnqT6gcN-UOD9i4ED_3jkATLxUjywEiJf_t0M4_0H-ewe484wTA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2869385273</pqid></control><display><type>article</type><title>A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination</title><source>MEDLINE</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><source>PubMed Central</source><creator>Li, Dalin ; Pavlovitch-Bedzyk, Ana Jimena ; Ebinger, Joseph E ; Khan, Abdul ; Hamideh, Mohamed ; Merchant, Akil ; Figueiredo, Jane C ; Cheng, Susan ; Davis, Mark M ; McGovern, Dermot P B ; Melmed, Gil Y ; Xu, Alexander M ; Braun, Jonathan</creator><creatorcontrib>Li, Dalin ; Pavlovitch-Bedzyk, Ana Jimena ; Ebinger, Joseph E ; Khan, Abdul ; Hamideh, Mohamed ; Merchant, Akil ; Figueiredo, Jane C ; Cheng, Susan ; Davis, Mark M ; McGovern, Dermot P B ; Melmed, Gil Y ; Xu, Alexander M ; Braun, Jonathan</creatorcontrib><description>Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Molecular TCR analysis is an appealing strategy but currently requires a targeted methodology involving complex integration of ex vivo data (antigen-specific functional T-cell cytokine responses and TCR molecular responses) that uncover only public antigen-specific metrics. Here, we describe an untargeted private TCR method that measures breadth and depth metrics of the T-cell response to vaccine challenge using a simple pre- and post-vaccine subject sampling, TCR immunoseq analysis, and a bioinformatic approach using self-organizing maps and GLIPH2. Among 515 subjects undergoing SARS-CoV-2 mRNA vaccination, we found that breadth and depth metrics were moderately correlated between the targeted public TCR response and untargeted private TCR response methods. The untargeted private TCR method was sufficiently sensitive to distinguish subgroups of potential clinical significance also observed using public TCR methods (the reduced T-cell vaccine response with age and the paradoxically elevated T-cell vaccine response of patients on anti-TNF immunotherapy). These observations suggest the promise of this untargeted private TCR method to produce T-cell vaccine-response metrics in an antigen-agnostic and individual-autonomous context.</description><identifier>ISSN: 1422-0067</identifier><identifier>ISSN: 1661-6596</identifier><identifier>EISSN: 1422-0067</identifier><identifier>DOI: 10.3390/ijms241814223</identifier><identifier>PMID: 37762524</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Algorithms ; Antibodies ; Antigens ; Binding Sites, Antibody ; CD8-Positive T-Lymphocytes ; Cloning ; COVID-19 - prevention &amp; control ; COVID-19 Vaccines ; Cytokines ; Disease transmission ; Health aspects ; Humans ; Methods ; Pandemics ; Peptides ; Pharmaceutical industry ; Receptors, Antigen, T-Cell - genetics ; RNA ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; T cells ; Tumor Necrosis Factor Inhibitors ; Vaccination</subject><ispartof>International journal of molecular sciences, 2023-09, Vol.24 (18), p.14223</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 by the authors. 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c439t-274fe6050d2b011c2bb837bf7113d00984c075ea48a319d9d4069764b624a713</cites><orcidid>0000-0002-4977-036X ; 0000-0002-0587-1572 ; 0000-0003-4877-4358 ; 0000-0001-7472-822X ; 0000-0002-2591-5165 ; 0000-0003-1646-2974</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531868/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10531868/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,725,778,782,883,27911,27912,53778,53780</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37762524$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Dalin</creatorcontrib><creatorcontrib>Pavlovitch-Bedzyk, Ana Jimena</creatorcontrib><creatorcontrib>Ebinger, Joseph E</creatorcontrib><creatorcontrib>Khan, Abdul</creatorcontrib><creatorcontrib>Hamideh, Mohamed</creatorcontrib><creatorcontrib>Merchant, Akil</creatorcontrib><creatorcontrib>Figueiredo, Jane C</creatorcontrib><creatorcontrib>Cheng, Susan</creatorcontrib><creatorcontrib>Davis, Mark M</creatorcontrib><creatorcontrib>McGovern, Dermot P B</creatorcontrib><creatorcontrib>Melmed, Gil Y</creatorcontrib><creatorcontrib>Xu, Alexander M</creatorcontrib><creatorcontrib>Braun, Jonathan</creatorcontrib><title>A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination</title><title>International journal of molecular sciences</title><addtitle>Int J Mol Sci</addtitle><description>Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Molecular TCR analysis is an appealing strategy but currently requires a targeted methodology involving complex integration of ex vivo data (antigen-specific functional T-cell cytokine responses and TCR molecular responses) that uncover only public antigen-specific metrics. Here, we describe an untargeted private TCR method that measures breadth and depth metrics of the T-cell response to vaccine challenge using a simple pre- and post-vaccine subject sampling, TCR immunoseq analysis, and a bioinformatic approach using self-organizing maps and GLIPH2. Among 515 subjects undergoing SARS-CoV-2 mRNA vaccination, we found that breadth and depth metrics were moderately correlated between the targeted public TCR response and untargeted private TCR response methods. The untargeted private TCR method was sufficiently sensitive to distinguish subgroups of potential clinical significance also observed using public TCR methods (the reduced T-cell vaccine response with age and the paradoxically elevated T-cell vaccine response of patients on anti-TNF immunotherapy). These observations suggest the promise of this untargeted private TCR method to produce T-cell vaccine-response metrics in an antigen-agnostic and individual-autonomous context.</description><subject>Algorithms</subject><subject>Antibodies</subject><subject>Antigens</subject><subject>Binding Sites, Antibody</subject><subject>CD8-Positive T-Lymphocytes</subject><subject>Cloning</subject><subject>COVID-19 - prevention &amp; control</subject><subject>COVID-19 Vaccines</subject><subject>Cytokines</subject><subject>Disease transmission</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Methods</subject><subject>Pandemics</subject><subject>Peptides</subject><subject>Pharmaceutical industry</subject><subject>Receptors, Antigen, T-Cell - genetics</subject><subject>RNA</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>T cells</subject><subject>Tumor Necrosis Factor Inhibitors</subject><subject>Vaccination</subject><issn>1422-0067</issn><issn>1661-6596</issn><issn>1422-0067</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkk1v1DAQhiMEoh9w5IosceGS4q_EyQktoVCkIqrtqlfLcSaNV4m92E4l_gi_t466lC5CPsxo_MxrzfjNsjcEnzFW4w9mOwXKSUU4pexZdrzEHONSPH-SH2UnIWwxpowW9cvsiAlR0oLy4-z3Cl0pr6LbQX5uB2U1dOg7xMF1KDr0GSL4yVhAnzyoLg5I2S5VdynbNGvUjM6qcWnwRgfkehQHQFfe3KkI6GKelEWbvIFxRDdK60VoDWHnbACk-qSNrlfr67xxNzndEyoaZ19lL3o1Bni9j6fZ5sv5prnIL398_dasLnPNWR1zKngPJS5wR1tMiKZtWzHR9oIQ1mFcV1xjUYDilWKk7uqO47IWJW9LypUg7DT7-CC7m9sJOg02ejXKnTeT8r-kU0Ye3lgzyFt3JwkuGKnKKim83yt493OGEOVkgk7zKgtuDpJWAhNW1RVN6Lt_0K2bfVrfQpU1qwoq2F_qVo0gje1delgvonIlRPpnIphI1Nl_qHQ6mIx2FnqT6gcN-UOD9i4ED_3jkATLxUjywEiJf_t0M4_0H-ewe484wTA</recordid><startdate>20230918</startdate><enddate>20230918</enddate><creator>Li, Dalin</creator><creator>Pavlovitch-Bedzyk, Ana Jimena</creator><creator>Ebinger, Joseph E</creator><creator>Khan, Abdul</creator><creator>Hamideh, Mohamed</creator><creator>Merchant, Akil</creator><creator>Figueiredo, Jane C</creator><creator>Cheng, Susan</creator><creator>Davis, Mark M</creator><creator>McGovern, Dermot P B</creator><creator>Melmed, Gil Y</creator><creator>Xu, Alexander M</creator><creator>Braun, Jonathan</creator><general>MDPI AG</general><general>MDPI</general><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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>MBDVC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-4977-036X</orcidid><orcidid>https://orcid.org/0000-0002-0587-1572</orcidid><orcidid>https://orcid.org/0000-0003-4877-4358</orcidid><orcidid>https://orcid.org/0000-0001-7472-822X</orcidid><orcidid>https://orcid.org/0000-0002-2591-5165</orcidid><orcidid>https://orcid.org/0000-0003-1646-2974</orcidid></search><sort><creationdate>20230918</creationdate><title>A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination</title><author>Li, Dalin ; Pavlovitch-Bedzyk, Ana Jimena ; Ebinger, Joseph E ; Khan, Abdul ; Hamideh, Mohamed ; Merchant, Akil ; Figueiredo, Jane C ; Cheng, Susan ; Davis, Mark M ; McGovern, Dermot P B ; Melmed, Gil Y ; Xu, Alexander M ; Braun, Jonathan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c439t-274fe6050d2b011c2bb837bf7113d00984c075ea48a319d9d4069764b624a713</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Algorithms</topic><topic>Antibodies</topic><topic>Antigens</topic><topic>Binding Sites, Antibody</topic><topic>CD8-Positive T-Lymphocytes</topic><topic>Cloning</topic><topic>COVID-19 - prevention &amp; control</topic><topic>COVID-19 Vaccines</topic><topic>Cytokines</topic><topic>Disease transmission</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Methods</topic><topic>Pandemics</topic><topic>Peptides</topic><topic>Pharmaceutical industry</topic><topic>Receptors, Antigen, T-Cell - genetics</topic><topic>RNA</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>T cells</topic><topic>Tumor Necrosis Factor Inhibitors</topic><topic>Vaccination</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Dalin</creatorcontrib><creatorcontrib>Pavlovitch-Bedzyk, Ana Jimena</creatorcontrib><creatorcontrib>Ebinger, Joseph E</creatorcontrib><creatorcontrib>Khan, Abdul</creatorcontrib><creatorcontrib>Hamideh, Mohamed</creatorcontrib><creatorcontrib>Merchant, Akil</creatorcontrib><creatorcontrib>Figueiredo, Jane C</creatorcontrib><creatorcontrib>Cheng, Susan</creatorcontrib><creatorcontrib>Davis, Mark M</creatorcontrib><creatorcontrib>McGovern, Dermot P B</creatorcontrib><creatorcontrib>Melmed, Gil Y</creatorcontrib><creatorcontrib>Xu, Alexander M</creatorcontrib><creatorcontrib>Braun, Jonathan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of molecular sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Dalin</au><au>Pavlovitch-Bedzyk, Ana Jimena</au><au>Ebinger, Joseph E</au><au>Khan, Abdul</au><au>Hamideh, Mohamed</au><au>Merchant, Akil</au><au>Figueiredo, Jane C</au><au>Cheng, Susan</au><au>Davis, Mark M</au><au>McGovern, Dermot P B</au><au>Melmed, Gil Y</au><au>Xu, Alexander M</au><au>Braun, Jonathan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination</atitle><jtitle>International journal of molecular sciences</jtitle><addtitle>Int J Mol Sci</addtitle><date>2023-09-18</date><risdate>2023</risdate><volume>24</volume><issue>18</issue><spage>14223</spage><pages>14223-</pages><issn>1422-0067</issn><issn>1661-6596</issn><eissn>1422-0067</eissn><abstract>Quantitative metrics for vaccine-induced T-cell responses are an important need for developing correlates of protection and their use in vaccine-based medical management and population health. Molecular TCR analysis is an appealing strategy but currently requires a targeted methodology involving complex integration of ex vivo data (antigen-specific functional T-cell cytokine responses and TCR molecular responses) that uncover only public antigen-specific metrics. Here, we describe an untargeted private TCR method that measures breadth and depth metrics of the T-cell response to vaccine challenge using a simple pre- and post-vaccine subject sampling, TCR immunoseq analysis, and a bioinformatic approach using self-organizing maps and GLIPH2. Among 515 subjects undergoing SARS-CoV-2 mRNA vaccination, we found that breadth and depth metrics were moderately correlated between the targeted public TCR response and untargeted private TCR response methods. The untargeted private TCR method was sufficiently sensitive to distinguish subgroups of potential clinical significance also observed using public TCR methods (the reduced T-cell vaccine response with age and the paradoxically elevated T-cell vaccine response of patients on anti-TNF immunotherapy). These observations suggest the promise of this untargeted private TCR method to produce T-cell vaccine-response metrics in an antigen-agnostic and individual-autonomous context.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>37762524</pmid><doi>10.3390/ijms241814223</doi><orcidid>https://orcid.org/0000-0002-4977-036X</orcidid><orcidid>https://orcid.org/0000-0002-0587-1572</orcidid><orcidid>https://orcid.org/0000-0003-4877-4358</orcidid><orcidid>https://orcid.org/0000-0001-7472-822X</orcidid><orcidid>https://orcid.org/0000-0002-2591-5165</orcidid><orcidid>https://orcid.org/0000-0003-1646-2974</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1422-0067
ispartof International journal of molecular sciences, 2023-09, Vol.24 (18), p.14223
issn 1422-0067
1661-6596
1422-0067
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10531868
source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute; PubMed Central
subjects Algorithms
Antibodies
Antigens
Binding Sites, Antibody
CD8-Positive T-Lymphocytes
Cloning
COVID-19 - prevention & control
COVID-19 Vaccines
Cytokines
Disease transmission
Health aspects
Humans
Methods
Pandemics
Peptides
Pharmaceutical industry
Receptors, Antigen, T-Cell - genetics
RNA
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
T cells
Tumor Necrosis Factor Inhibitors
Vaccination
title A Paratope-Enhanced Method to Determine Breadth and Depth TCR Clonal Metrics of the Private Human T-Cell Vaccine Response after SARS-CoV-2 Vaccination
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-15T19%3A52%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Paratope-Enhanced%20Method%20to%20Determine%20Breadth%20and%20Depth%20TCR%20Clonal%20Metrics%20of%20the%20Private%20Human%20T-Cell%20Vaccine%20Response%20after%20SARS-CoV-2%20Vaccination&rft.jtitle=International%20journal%20of%20molecular%20sciences&rft.au=Li,%20Dalin&rft.date=2023-09-18&rft.volume=24&rft.issue=18&rft.spage=14223&rft.pages=14223-&rft.issn=1422-0067&rft.eissn=1422-0067&rft_id=info:doi/10.3390/ijms241814223&rft_dat=%3Cgale_pubme%3EA771811737%3C/gale_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2869385273&rft_id=info:pmid/37762524&rft_galeid=A771811737&rfr_iscdi=true