Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring

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We would like to thank the Institut Pierre-Gilles de Gennes (IPGG) for use of clean room facilities and the laser engraver (CII08, Axyslaser), and Pfizer for the generous gift of TT-Alexa488, and CHO cell lines secreting TT4, TT7, and TT10. TT11 and TT27 antibodies are Pfizer proprietary antibodies...

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Detalles Bibliográficos
Autores: Eyer K., Doineau R.C.L., Castrillon C.E., Briseño-Roa L., Menrath V., Mottet G., England P., Godina A., Brient-Litzler E., Nizak C., Jensen A., Griffiths A.D., Bibette J., Bruhns P., Baudry J.
Formato: artículo
Fecha de Publicación:2017
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/631
Enlace del recurso:https://hdl.handle.net/20.500.12390/631
https://doi.org/10.1038/nbt.3964
Nivel de acceso:acceso abierto
Materia:Physiology
Antibodies
Cytology
Drops
Immunization
Droplet arrays
High resolution
High throughput systems
Immune response
Individual cells
Micro fluidic system
https://purl.org/pe-repo/ocde/ford#1.06.01
id CONC_9f7400fd7f57bf746fe272877f1149e4
oai_identifier_str oai:repositorio.concytec.gob.pe:20.500.12390/631
network_acronym_str CONC
network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
title Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
spellingShingle Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
Eyer K.
Physiology
Antibodies
Cytology
Drops
Immunization
Droplet arrays
High resolution
High throughput systems
Immune response
Individual cells
Micro fluidic system
https://purl.org/pe-repo/ocde/ford#1.06.01
title_short Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
title_full Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
title_fullStr Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
title_full_unstemmed Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
title_sort Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
author Eyer K.
author_facet Eyer K.
Doineau R.C.L.
Castrillon C.E.
Briseño-Roa L.
Menrath V.
Mottet G.
England P.
Godina A.
Brient-Litzler E.
Nizak C.
Jensen A.
Griffiths A.D.
Bibette J.
Bruhns P.
Baudry J.
author_role author
author2 Doineau R.C.L.
Castrillon C.E.
Briseño-Roa L.
Menrath V.
Mottet G.
England P.
Godina A.
Brient-Litzler E.
Nizak C.
Jensen A.
Griffiths A.D.
Bibette J.
Bruhns P.
Baudry J.
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Eyer K.
Doineau R.C.L.
Castrillon C.E.
Briseño-Roa L.
Menrath V.
Mottet G.
England P.
Godina A.
Brient-Litzler E.
Nizak C.
Jensen A.
Griffiths A.D.
Bibette J.
Bruhns P.
Baudry J.
dc.subject.none.fl_str_mv Physiology
topic Physiology
Antibodies
Cytology
Drops
Immunization
Droplet arrays
High resolution
High throughput systems
Immune response
Individual cells
Micro fluidic system
https://purl.org/pe-repo/ocde/ford#1.06.01
dc.subject.es_PE.fl_str_mv Antibodies
Cytology
Drops
Immunization
Droplet arrays
High resolution
High throughput systems
Immune response
Individual cells
Micro fluidic system
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.06.01
description We would like to thank the Institut Pierre-Gilles de Gennes (IPGG) for use of clean room facilities and the laser engraver (CII08, Axyslaser), and Pfizer for the generous gift of TT-Alexa488, and CHO cell lines secreting TT4, TT7, and TT10. TT11 and TT27 antibodies are Pfizer proprietary antibodies isolated from their collaboration with HiFiBiO. We thank Pfizer (M. Holsti, G. Cheung, and W. Somers) as well as HiFiBiO Team (A. Gérard, A. Woolfe, M. Reichen, A. Poitou, S. Essonno, R. Kumar, S. Ellouze, K. Grosselin, B. Shen, and C. Brenan) for identification, rapid cloning, and validation of TT11 and TT27 antibodies. This work received support from the French Investissements d'Avenir program under the grant agreements ANR-10-NANO-02, ANR-10-IDEX-0001-02 PSL, ANR-10-LABX-31 and ANR-10- EQPX-34, by the French Agence Nationale de la Recherche (ANR-14-CE16-0011 project DROPmAbs), from Région Ile-de-France (DIM NanoK) and by the Institut Carnot Pasteur Maladies Infectieuses. K.E. acknowledges financial support from the 'Fondation Pierre-Gilles de Gennes', and the 'Swiss National Science Foundation' and the 'Society in Science—The Branco Weiss Fellowship'. C.C. acknowledges financial support from CONCYTEC, Peru. We would like to further acknowledge R. Henson for making the dscatter function for Matlab publicly available, M. Spitzer, J. Wildenhain, J. Rappsilber and M. Tyers for BoxPlotR that has been used to create the box plots, and B. Iannascoli (Unit of Antibodies in Therapy and Pathology, Institut Pasteur) for help with antibody production and cell lines.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/631
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1038/nbt.3964
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85031105486
url https://hdl.handle.net/20.500.12390/631
https://doi.org/10.1038/nbt.3964
identifier_str_mv 2-s2.0-85031105486
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Nature Biotechnology
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp01275600rp01280600rp01284600rp01283600rp01273600rp01274600rp01278600rp01281600rp01277600rp01282600rp01279600rp01276600rp01285600rp01272600rp01271600Eyer K.Doineau R.C.L.Castrillon C.E.Briseño-Roa L.Menrath V.Mottet G.England P.Godina A.Brient-Litzler E.Nizak C.Jensen A.Griffiths A.D.Bibette J.Bruhns P.Baudry J.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2017https://hdl.handle.net/20.500.12390/631https://doi.org/10.1038/nbt.39642-s2.0-85031105486We would like to thank the Institut Pierre-Gilles de Gennes (IPGG) for use of clean room facilities and the laser engraver (CII08, Axyslaser), and Pfizer for the generous gift of TT-Alexa488, and CHO cell lines secreting TT4, TT7, and TT10. TT11 and TT27 antibodies are Pfizer proprietary antibodies isolated from their collaboration with HiFiBiO. We thank Pfizer (M. Holsti, G. Cheung, and W. Somers) as well as HiFiBiO Team (A. Gérard, A. Woolfe, M. Reichen, A. Poitou, S. Essonno, R. Kumar, S. Ellouze, K. Grosselin, B. Shen, and C. Brenan) for identification, rapid cloning, and validation of TT11 and TT27 antibodies. This work received support from the French Investissements d'Avenir program under the grant agreements ANR-10-NANO-02, ANR-10-IDEX-0001-02 PSL, ANR-10-LABX-31 and ANR-10- EQPX-34, by the French Agence Nationale de la Recherche (ANR-14-CE16-0011 project DROPmAbs), from Région Ile-de-France (DIM NanoK) and by the Institut Carnot Pasteur Maladies Infectieuses. K.E. acknowledges financial support from the 'Fondation Pierre-Gilles de Gennes', and the 'Swiss National Science Foundation' and the 'Society in Science—The Branco Weiss Fellowship'. C.C. acknowledges financial support from CONCYTEC, Peru. We would like to further acknowledge R. Henson for making the dscatter function for Matlab publicly available, M. Spitzer, J. Wildenhain, J. Rappsilber and M. Tyers for BoxPlotR that has been used to create the box plots, and B. Iannascoli (Unit of Antibodies in Therapy and Pathology, Institut Pasteur) for help with antibody production and cell lines.Studies of the dynamics of the antibody-mediated immune response have been hampered by the absence of quantitative, high-throughput systems to analyze individual antibody-secreting cells1,2,3,4,5. Here we describe a simple microfluidic system, DropMap, in which single cells are compartmentalized in tens of thousands of 40-pL droplets and analyzed in two-dimensional droplet arrays using a fluorescence relocation-based immunoassay. Using DropMap, we characterized antibody-secreting cells in mice immunized with tetanus toxoid (TT) over a 7-week protocol, simultaneously analyzing the secretion rate and affinity of IgG from over 0.5 million individual cells enriched from spleen and bone marrow. Immunization resulted in dramatic increases in the range of both single-cell secretion rates and affinities, which spanned at maximum 3 and 4 logs, respectively. We observed differences over time in dynamics of secretion rate and affinity within and between anatomical compartments. This system will not only enable immune monitoring and optimization of immunization and vaccination protocols but also potentiate antibody screening6,7.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengNature Publishing GroupNature Biotechnologyinfo:eu-repo/semantics/openAccessPhysiologyAntibodies-1Cytology-1Drops-1Immunization-1Droplet arrays-1High resolution-1High throughput systems-1Immune response-1Individual cells-1Micro fluidic system-1https://purl.org/pe-repo/ocde/ford#1.06.01-1Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoringinfo:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e 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</Publication> </PublishedIn> <PublicationDate>2017</PublicationDate> <DOI>https://doi.org/10.1038/nbt.3964</DOI> <SCP-Number>2-s2.0-85031105486</SCP-Number> <Authors> <Author> <DisplayName>Eyer K.</DisplayName> <Person id="rp01275" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Doineau R.C.L.</DisplayName> <Person id="rp01280" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Castrillon C.E.</DisplayName> <Person id="rp01284" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Briseño-Roa L.</DisplayName> <Person id="rp01283" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Menrath V.</DisplayName> <Person id="rp01273" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Mottet G.</DisplayName> <Person id="rp01274" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>England 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</Affiliation> </Author> <Author> <DisplayName>Baudry J.</DisplayName> <Person id="rp01271" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Nature Publishing Group</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Physiology</Keyword> <Keyword>Antibodies</Keyword> <Keyword>Cytology</Keyword> <Keyword>Drops</Keyword> <Keyword>Immunization</Keyword> <Keyword>Droplet arrays</Keyword> <Keyword>High resolution</Keyword> <Keyword>High throughput systems</Keyword> <Keyword>Immune response</Keyword> <Keyword>Individual cells</Keyword> <Keyword>Micro fluidic system</Keyword> <Abstract>Studies of the dynamics of the antibody-mediated immune response have been hampered by the absence of quantitative, high-throughput systems to analyze individual antibody-secreting cells1,2,3,4,5. Here we describe a simple microfluidic system, DropMap, in which single cells are compartmentalized in tens of thousands of 40-pL droplets and analyzed in two-dimensional droplet arrays using a fluorescence relocation-based immunoassay. Using DropMap, we characterized antibody-secreting cells in mice immunized with tetanus toxoid (TT) over a 7-week protocol, simultaneously analyzing the secretion rate and affinity of IgG from over 0.5 million individual cells enriched from spleen and bone marrow. Immunization resulted in dramatic increases in the range of both single-cell secretion rates and affinities, which spanned at maximum 3 and 4 logs, respectively. We observed differences over time in dynamics of secretion rate and affinity within and between anatomical compartments. 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