Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring
Descripción del Articulo
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...
| Autores: | , , , , , , , , , , , , , , |
|---|---|
| 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 |
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| 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 |
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Consejo Nacional de Ciencia Tecnología e Innovación |
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CONCYTEC |
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CONCYTEC |
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CONCYTEC-Institucional |
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CONCYTEC-Institucional |
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Repositorio Institucional CONCYTEC |
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repositorio@concytec.gob.pe |
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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 Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/631oai:repositorio.concytec.gob.pe:20.500.12390/6312024-05-30 15:22:28.145http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="06afbb5f-d025-454d-b075-2804494a0551"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Single-cell deep phenotyping of IgG-secreting cells for high-resolution immune monitoring</Title> <PublishedIn> <Publication> <Title>Nature Biotechnology</Title> </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 P.</DisplayName> <Person id="rp01278" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Godina A.</DisplayName> <Person id="rp01281" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Brient-Litzler E.</DisplayName> <Person id="rp01277" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Nizak C.</DisplayName> <Person id="rp01282" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Jensen A.</DisplayName> <Person id="rp01279" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Griffiths A.D.</DisplayName> <Person id="rp01276" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Bibette J.</DisplayName> <Person id="rp01285" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Bruhns P.</DisplayName> <Person id="rp01272" /> <Affiliation> <OrgUnit> </OrgUnit> </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. This system will not only enable immune monitoring and optimization of immunization and vaccination protocols but also potentiate antibody screening6,7.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1 |
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13.934261 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).