Abstract
Original language | English |
---|---|
Article number | 110858 |
Journal | Cell reports |
Volume | 39 |
Issue number | 8 |
DOIs | |
Publication status | Published - 24 May 2022 |
Keywords
- CP: Immunology
- CP: Microbiology
- T cell receptor
- adaptive
- clonal expansion
- differentiation
- effector
- naive
- pathogen
- transcription factor
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Transcriptional profiling of human Vδ1 T cells reveals a pathogen-driven adaptive differentiation program. / McMurray, Jack L.; von Borstel, Anouk; Taher, Taher E. et al.
In: Cell reports, Vol. 39, No. 8, 110858, 24.05.2022.Research output: Contribution to journal › Article › Academic › peer-review
TY - JOUR
T1 - Transcriptional profiling of human Vδ1 T cells reveals a pathogen-driven adaptive differentiation program
AU - McMurray, Jack L.
AU - von Borstel, Anouk
AU - Taher, Taher E.
AU - Syrimi, Eleni
AU - Taylor, Graham S.
AU - Sharif, Maria
AU - Rossjohn, Jamie
AU - Remmerswaal, Ester B. M.
AU - Bemelman, Frederike J.
AU - Vieira Braga, Felipe A.
AU - Chen, Xi
AU - Teichmann, Sarah A.
AU - Mohammed, Fiyaz
AU - Berry, Andrea A.
AU - Lyke, Kirsten E.
AU - Williamson, Kim C.
AU - Stubbington, Michael J. T.
AU - Davey, Martin S.
AU - Willcox, Carrie R.
AU - Willcox, Benjamin E.
N1 - Funding Information: We thank all donors and patients who participated in the study, AMC biobank staff for provision of renal transplant patient samples, and the Anthony Nolan Cell Therapy Centre for cord blood samples. We thank Dr. Matthew McKenzie and the University of Birmingham CMDS Cell Sorting Facility for γδ T cell isolation, the University of Birmingham Protein Expression Facility for use of facilities, FlowCore (Monash University) for cell sorting assistance, and the Medical Genomics facility (MHTP) for their services. We thank US CHMI study volunteers for their contribution and commitment to malaria research; Dr. Gregory Deye, of the National Institutes of Allergy and Infectious Diseases at the National Institutes of Health, for service as program medical officer of the repetitive challenge study at the University of Maryland, Baltimore (UMB); and Faith Pa'ahana-Brown, RN, Lisa Chrisley, RN, Alyson Kwon, Brenda Dorsey, Ana Raquel Da Costa, Jeffrey Crum, Kathleen Strauss, and Biraj Shrestha for their roles in the repetitive challenge study at UMB. We thank Sanaria, Inc. for providing mosquitoes for human malaria infections. The work was supported by Wellcome Trust Investigator award funding, supporting C.R.W. M.S.D. F.M. T.E.T. and M.S. (099266/Z/12/Z and 221725/Z/20/Z to B.E.W.). J.L.McM. was supported by a CRUK non-clinical studentship; F.A.V.B. by Open Targets (https://www.opentargets.org/); J.R. is supported by an Australian Research Council (ARC) Laureate Fellowship; K.W. and K.E.L. are supported by a National Institutes of Health (NIH), Division of Allergy and Infectious Diseases (NIAID) U01 (AI-110852), distributed by the Henry M. Jackson Foundation (no. 1701447C); and K.E.L. is further supported by additional funding from the NIAID (U01-HD092308, R01-AE141900, and AI110820-06), The Geneva Foundation (V-12VAXHRFS-03), the Medical Technology Enterprise Consortium (MTEC-17-01), and Pfizer (C4591001, site 1002). M.S.D. is supported by an ARC Discovery Early Career Researcher Award (DE200100292), Rebecca L. Cooper Medical Research Foundation Project Grant (PG2020668), and ARC Discovery Project (DP210103327). The opinions and assertions expressed herein are those of the authors and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. Conceptualization, B.E.W. C.R.W. and M.S.D.; methodology, C.R.W. M.S.D. J.L.M. T.E.T. and A.v.B.; software, J.L.M.; formal analysis, J.L.M.; investigation, C.R.W. A.v.B. M.S.D. M.S. and T.E.T.; resources, E.S. G.S.T. J.R. E.B.M.R. F.J.B. F.A.V.B. X.C. S.A.T. A.A.B. K.W. K.E.L. and M.J.T.S.; data curation, J.L.M.; writing – original draft, B.E.W. C.R.W. J.L.M. M.S.D. and T.E.T.; writing – review & editing, B.E.W. C.R.W. J.L.M. M.S.D. and A.v.B.; visualization, C.R.W. J.L.M. F.M. M.S.D. A.v.B. and T.E.T.; funding acquisition, B.E.W. and M.S.D. M.J.T.S. has been employed by 10× Genomics since April 2018; this employment had no bearing on this work. The other authors declare no competing financial interests. Funding Information: We thank all donors and patients who participated in the study, AMC biobank staff for provision of renal transplant patient samples, and the Anthony Nolan Cell Therapy Centre for cord blood samples. We thank Dr. Matthew McKenzie and the University of Birmingham CMDS Cell Sorting Facility for γδ T cell isolation, the University of Birmingham Protein Expression Facility for use of facilities, FlowCore (Monash University) for cell sorting assistance, and the Medical Genomics facility (MHTP) for their services. We thank US CHMI study volunteers for their contribution and commitment to malaria research; Dr. Gregory Deye, of the National Institutes of Allergy and Infectious Diseases at the National Institutes of Health, for service as program medical officer of the repetitive challenge study at the University of Maryland, Baltimore (UMB); and Faith Pa’ahana-Brown, RN, Lisa Chrisley, RN, Alyson Kwon, Brenda Dorsey, Ana Raquel Da Costa, Jeffrey Crum, Kathleen Strauss, and Biraj Shrestha for their roles in the repetitive challenge study at UMB. We thank Sanaria, Inc. for providing mosquitoes for human malaria infections. The work was supported by Wellcome Trust Investigator award funding, supporting C.R.W., M.S.D., F.M., T.E.T. and M.S. (099266/Z/12/Z and 221725/Z/20/Z to B.E.W.). J.L.McM. was supported by a CRUK non-clinical studentship; F.A.V.B. by Open Targets ( https://www.opentargets.org/ ); J.R. is supported by an Australian Research Council (ARC) Laureate Fellowship; K.W. and K.E.L. are supported by a National Institutes of Health (NIH) , Division of Allergy and Infectious Diseases (NIAID) U01 ( AI-110852 ), distributed by the Henry M. Jackson Foundation (no. 1701447C ); and K.E.L. is further supported by additional funding from the NIAID ( U01-HD092308 , R01-AE141900 , and AI110820-06 ), The Geneva Foundation ( V-12VAXHRFS-03 ), the Medical Technology Enterprise Consortium ( MTEC-17-01 ), and Pfizer ( C4591001 , site 1002). M.S.D. is supported by an ARC Discovery Early Career Researcher Award ( DE200100292 ), Rebecca L. Cooper Medical Research Foundation Project Grant ( PG2020668 ), and ARC Discovery Project ( DP210103327 ). The opinions and assertions expressed herein are those of the authors and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. Publisher Copyright: © 2022 The Authors
PY - 2022/5/24
Y1 - 2022/5/24
N2 - γδ T cells are generally considered innate-like lymphocytes, however, an “adaptive-like” γδ compartment has now emerged. To understand transcriptional regulation of adaptive γδ T cell immunobiology, we combined single-cell transcriptomics, T cell receptor (TCR)-clonotype assignment, ATAC-seq, and immunophenotyping. We show that adult Vδ1+ T cells segregate into TCF7+LEF1+Granzyme Bneg (Tnaive) or T-bet+Eomes+BLIMP-1+Granzyme B+ (Teffector) transcriptional subtypes, with clonotypically expanded TCRs detected exclusively in Teffector cells. Transcriptional reprogramming mirrors changes within CD8+ αβ T cells following antigen-specific maturation and involves chromatin remodeling, enhancing cytokine production and cytotoxicity. Consistent with this, in vitro TCR engagement induces comparable BLIMP-1, Eomes, and T-bet expression in naive Vδ1+ and CD8+ T cells. Finally, both human cytomegalovirus and Plasmodium falciparum infection in vivo drive adaptive Vδ1 T cell differentiation from Tnaive to Teffector transcriptional status, alongside clonotypic expansion. Contrastingly, semi-invariant Vγ9+Vδ2+ T cells exhibit a distinct “innate-effector” transcriptional program established by early childhood. In summary, adaptive-like γδ subsets undergo a pathogen-driven differentiation process analogous to conventional CD8+ T cells.
AB - γδ T cells are generally considered innate-like lymphocytes, however, an “adaptive-like” γδ compartment has now emerged. To understand transcriptional regulation of adaptive γδ T cell immunobiology, we combined single-cell transcriptomics, T cell receptor (TCR)-clonotype assignment, ATAC-seq, and immunophenotyping. We show that adult Vδ1+ T cells segregate into TCF7+LEF1+Granzyme Bneg (Tnaive) or T-bet+Eomes+BLIMP-1+Granzyme B+ (Teffector) transcriptional subtypes, with clonotypically expanded TCRs detected exclusively in Teffector cells. Transcriptional reprogramming mirrors changes within CD8+ αβ T cells following antigen-specific maturation and involves chromatin remodeling, enhancing cytokine production and cytotoxicity. Consistent with this, in vitro TCR engagement induces comparable BLIMP-1, Eomes, and T-bet expression in naive Vδ1+ and CD8+ T cells. Finally, both human cytomegalovirus and Plasmodium falciparum infection in vivo drive adaptive Vδ1 T cell differentiation from Tnaive to Teffector transcriptional status, alongside clonotypic expansion. Contrastingly, semi-invariant Vγ9+Vδ2+ T cells exhibit a distinct “innate-effector” transcriptional program established by early childhood. In summary, adaptive-like γδ subsets undergo a pathogen-driven differentiation process analogous to conventional CD8+ T cells.
KW - CP: Immunology
KW - CP: Microbiology
KW - T cell receptor
KW - adaptive
KW - clonal expansion
KW - differentiation
KW - effector
KW - naive
KW - pathogen
KW - transcription factor
UR - http://www.scopus.com/inward/record.url?scp=85130615658&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.celrep.2022.110858
DO - https://doi.org/10.1016/j.celrep.2022.110858
M3 - Article
C2 - 35613583
SN - 2211-1247
VL - 39
JO - Cell Reports
JF - Cell Reports
IS - 8
M1 - 110858
ER -