Single-cell RNA-sequencing resolves self-antigen expression during mTEC development

Detalhes bibliográficos
Autor(a) principal: Miragaia, Ricardo J.
Data de Publicação: 2018
Outros Autores: Zhang, X., Gomes, Tomás, Svensson, V., Ilicic, T., Henriksson, J., Kar, G., Lönnberg, T.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/53767
Resumo: The crucial capability of T cells for discrimination between self and non-self peptides is based on negative selection of developing thymocytes by medullary thymic epithelial cells (mTECs). The mTECs purge autoreactive T cells by expression of cell-type specific genes referred to as tissue-restricted antigens (TRAs). Although the autoimmune regulator (AIRE) protein is known to promote the expression of a subset of TRAs, its mechanism of action is still not fully understood. The expression of TRAs that are not under the control of AIRE also needs further characterization. Furthermore, expression patterns of TRA genes have been suggested to change over the course of mTEC development. Herein we have used single-cell RNA-sequencing to resolve patterns of TRA expression during mTEC development. Our data indicated that mTEC development consists of three distinct stages, correlating with previously described jTEC, mTEChi and mTEClo phenotypes. For each subpopulation, we have identified marker genes useful in future studies. Aire-induced TRAs were switched on during jTEC-mTEC transition and were expressed in genomic clusters, while otherwise the subsets expressed largely overlapping sets of TRAs. Moreover, population-level analysis of TRA expression frequencies suggested that such differences might not be necessary to achieve efficient thymocyte selection.
id RCAP_f96dbd8bf900066c2d36ff99f1cf9181
oai_identifier_str oai:repositorium.sdum.uminho.pt:1822/53767
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling Single-cell RNA-sequencing resolves self-antigen expression during mTEC developmentGene regulation in immune cellsTranscriptomicsScience & TechnologyThe crucial capability of T cells for discrimination between self and non-self peptides is based on negative selection of developing thymocytes by medullary thymic epithelial cells (mTECs). The mTECs purge autoreactive T cells by expression of cell-type specific genes referred to as tissue-restricted antigens (TRAs). Although the autoimmune regulator (AIRE) protein is known to promote the expression of a subset of TRAs, its mechanism of action is still not fully understood. The expression of TRAs that are not under the control of AIRE also needs further characterization. Furthermore, expression patterns of TRA genes have been suggested to change over the course of mTEC development. Herein we have used single-cell RNA-sequencing to resolve patterns of TRA expression during mTEC development. Our data indicated that mTEC development consists of three distinct stages, correlating with previously described jTEC, mTEChi and mTEClo phenotypes. For each subpopulation, we have identified marker genes useful in future studies. Aire-induced TRAs were switched on during jTEC-mTEC transition and were expressed in genomic clusters, while otherwise the subsets expressed largely overlapping sets of TRAs. Moreover, population-level analysis of TRA expression frequencies suggested that such differences might not be necessary to achieve efficient thymocyte selection.RM is supported by a PhD Fellowship from the Fundação para a Ciência e Tecnologia, Portugal (SFRH/ BD/51950/2012). XZ is supported by an Advanced Postdoc Mobility Fellowship from the Swiss National Science Foundation (SNSF, grant number P300P2_151352). Part of the work was performed during XZ’s visit to the Simons Institute for the Theory of Computing. TL is supported by the Academy of Finland (Decision 311081). The authors would like to thank Bee Ling Ng and the staff of the Cytometry Core Facility, and Stephan Lorenz and the staff of the Single Cell Genomics Core Facility for their contribution. Mark Lynch is acknowledged for technical assistance with the Fluidigm C1 platform. Mike Stubbington and Kylie James are acknowledged for revising the language of the manuscript. We thank Sarah Teichmann for help and discussions regarding the manuscript.info:eu-repo/semantics/publishedVersionNature Publishing GroupUniversidade do MinhoMiragaia, Ricardo J.Zhang, X.Gomes, TomásSvensson, V.Ilicic, T.Henriksson, J.Kar, G.Lönnberg, T.20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/53767engMiragaia, Ricardo J.; Zhang, X.; Gomes, Tomás; Svensson, V.; Ilicic, T.; Henriksson, J.; Kar, G.; Lönnberg, T., Single-cell RNA-sequencing resolves self-antigen expression during mTEC development. Scientific Reports, 8(685), 20182045-23222045-232210.1038/s41598-017-19100-429330484http://www.nature.com/srep/index.htmlinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:17:13Zoai:repositorium.sdum.uminho.pt:1822/53767Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:09:47.477601Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
title Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
spellingShingle Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
Miragaia, Ricardo J.
Gene regulation in immune cells
Transcriptomics
Science & Technology
title_short Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
title_full Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
title_fullStr Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
title_full_unstemmed Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
title_sort Single-cell RNA-sequencing resolves self-antigen expression during mTEC development
author Miragaia, Ricardo J.
author_facet Miragaia, Ricardo J.
Zhang, X.
Gomes, Tomás
Svensson, V.
Ilicic, T.
Henriksson, J.
Kar, G.
Lönnberg, T.
author_role author
author2 Zhang, X.
Gomes, Tomás
Svensson, V.
Ilicic, T.
Henriksson, J.
Kar, G.
Lönnberg, T.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Miragaia, Ricardo J.
Zhang, X.
Gomes, Tomás
Svensson, V.
Ilicic, T.
Henriksson, J.
Kar, G.
Lönnberg, T.
dc.subject.por.fl_str_mv Gene regulation in immune cells
Transcriptomics
Science & Technology
topic Gene regulation in immune cells
Transcriptomics
Science & Technology
description The crucial capability of T cells for discrimination between self and non-self peptides is based on negative selection of developing thymocytes by medullary thymic epithelial cells (mTECs). The mTECs purge autoreactive T cells by expression of cell-type specific genes referred to as tissue-restricted antigens (TRAs). Although the autoimmune regulator (AIRE) protein is known to promote the expression of a subset of TRAs, its mechanism of action is still not fully understood. The expression of TRAs that are not under the control of AIRE also needs further characterization. Furthermore, expression patterns of TRA genes have been suggested to change over the course of mTEC development. Herein we have used single-cell RNA-sequencing to resolve patterns of TRA expression during mTEC development. Our data indicated that mTEC development consists of three distinct stages, correlating with previously described jTEC, mTEChi and mTEClo phenotypes. For each subpopulation, we have identified marker genes useful in future studies. Aire-induced TRAs were switched on during jTEC-mTEC transition and were expressed in genomic clusters, while otherwise the subsets expressed largely overlapping sets of TRAs. Moreover, population-level analysis of TRA expression frequencies suggested that such differences might not be necessary to achieve efficient thymocyte selection.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/53767
url http://hdl.handle.net/1822/53767
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Miragaia, Ricardo J.; Zhang, X.; Gomes, Tomás; Svensson, V.; Ilicic, T.; Henriksson, J.; Kar, G.; Lönnberg, T., Single-cell RNA-sequencing resolves self-antigen expression during mTEC development. Scientific Reports, 8(685), 2018
2045-2322
2045-2322
10.1038/s41598-017-19100-4
29330484
http://www.nature.com/srep/index.html
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Nature Publishing Group
publisher.none.fl_str_mv Nature Publishing Group
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799132524697354240