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Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis

Bovine tuberculosis (bTB), caused by infection with Mycobacterium bovis, continues to cause significant issues for the global agriculture industry as well as for human health. An incomplete understanding of the host immune response contributes to the challenges of control and eradication of this zoo...

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Autores principales: Bhat, Sajad A., Elnaggar, Mahmoud, Hall, Thomas J., McHugo, Gillian P., Reid, Cian, MacHugh, David E., Meade, Kieran G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628470/
https://www.ncbi.nlm.nih.gov/pubmed/37942326
http://dx.doi.org/10.3389/fimmu.2023.1265038
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author Bhat, Sajad A.
Elnaggar, Mahmoud
Hall, Thomas J.
McHugo, Gillian P.
Reid, Cian
MacHugh, David E.
Meade, Kieran G.
author_facet Bhat, Sajad A.
Elnaggar, Mahmoud
Hall, Thomas J.
McHugo, Gillian P.
Reid, Cian
MacHugh, David E.
Meade, Kieran G.
author_sort Bhat, Sajad A.
collection PubMed
description Bovine tuberculosis (bTB), caused by infection with Mycobacterium bovis, continues to cause significant issues for the global agriculture industry as well as for human health. An incomplete understanding of the host immune response contributes to the challenges of control and eradication of this zoonotic disease. In this study, high-throughput bulk RNA sequencing (RNA-seq) was used to characterise differential gene expression in γδ T cells – a subgroup of T cells that bridge innate and adaptive immunity and have known anti-mycobacterial response mechanisms. γδ T cell subsets are classified based on expression of a pathogen-recognition receptor known as Workshop Cluster 1 (WC1) and we hypothesised that bTB disease may alter the phenotype and function of specific γδ T cell subsets. Peripheral blood was collected from naturally M. bovis-infected (positive for single intradermal comparative tuberculin test (SICTT) and IFN-γ ELISA) and age- and sex-matched, non-infected control Holstein-Friesian cattle. γδ T subsets were isolated using fluorescence activated cell sorting (n = 10–12 per group) and high-quality RNA extracted from each purified lymphocyte subset (WC1.1(+), WC1.2(+), WC1(-) and γδ(-)) was used to generate transcriptomes using bulk RNA-seq (n = 6 per group, representing a total of 48 RNA-seq libraries). Relatively low numbers of differentially expressed genes (DEGs) were observed between most cell subsets; however, 189 genes were significantly differentially expressed in the M. bovis-infected compared to the control groups for the WC1.1(+) γδ T cell compartment (absolute log(2) FC ≥ 1.5 and FDR P (adj.) ≤ 0.1). The majority of these DEGs (168) were significantly increased in expression in cells from the bTB+ cattle and included genes encoding transcription factors (TBX21 and EOMES), chemokine receptors (CCR5 and CCR7), granzymes (GZMA, GZMM, and GZMH) and multiple killer cell immunoglobulin-like receptor (KIR) proteins indicating cytotoxic functions. Biological pathway overrepresentation analysis revealed enrichment of genes with multiple immune functions including cell activation, proliferation, chemotaxis, and cytotoxicity of lymphocytes. In conclusion, γδ T cells have important inflammatory and regulatory functions in cattle, and we provide evidence for preferential differential activation of the WC1.1(+) specific subset in cattle naturally infected with M. bovis.
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spelling pubmed-106284702023-11-08 Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis Bhat, Sajad A. Elnaggar, Mahmoud Hall, Thomas J. McHugo, Gillian P. Reid, Cian MacHugh, David E. Meade, Kieran G. Front Immunol Immunology Bovine tuberculosis (bTB), caused by infection with Mycobacterium bovis, continues to cause significant issues for the global agriculture industry as well as for human health. An incomplete understanding of the host immune response contributes to the challenges of control and eradication of this zoonotic disease. In this study, high-throughput bulk RNA sequencing (RNA-seq) was used to characterise differential gene expression in γδ T cells – a subgroup of T cells that bridge innate and adaptive immunity and have known anti-mycobacterial response mechanisms. γδ T cell subsets are classified based on expression of a pathogen-recognition receptor known as Workshop Cluster 1 (WC1) and we hypothesised that bTB disease may alter the phenotype and function of specific γδ T cell subsets. Peripheral blood was collected from naturally M. bovis-infected (positive for single intradermal comparative tuberculin test (SICTT) and IFN-γ ELISA) and age- and sex-matched, non-infected control Holstein-Friesian cattle. γδ T subsets were isolated using fluorescence activated cell sorting (n = 10–12 per group) and high-quality RNA extracted from each purified lymphocyte subset (WC1.1(+), WC1.2(+), WC1(-) and γδ(-)) was used to generate transcriptomes using bulk RNA-seq (n = 6 per group, representing a total of 48 RNA-seq libraries). Relatively low numbers of differentially expressed genes (DEGs) were observed between most cell subsets; however, 189 genes were significantly differentially expressed in the M. bovis-infected compared to the control groups for the WC1.1(+) γδ T cell compartment (absolute log(2) FC ≥ 1.5 and FDR P (adj.) ≤ 0.1). The majority of these DEGs (168) were significantly increased in expression in cells from the bTB+ cattle and included genes encoding transcription factors (TBX21 and EOMES), chemokine receptors (CCR5 and CCR7), granzymes (GZMA, GZMM, and GZMH) and multiple killer cell immunoglobulin-like receptor (KIR) proteins indicating cytotoxic functions. Biological pathway overrepresentation analysis revealed enrichment of genes with multiple immune functions including cell activation, proliferation, chemotaxis, and cytotoxicity of lymphocytes. In conclusion, γδ T cells have important inflammatory and regulatory functions in cattle, and we provide evidence for preferential differential activation of the WC1.1(+) specific subset in cattle naturally infected with M. bovis. Frontiers Media S.A. 2023-10-24 /pmc/articles/PMC10628470/ /pubmed/37942326 http://dx.doi.org/10.3389/fimmu.2023.1265038 Text en Copyright © 2023 Bhat, Elnaggar, Hall, McHugo, Reid, MacHugh and Meade https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Bhat, Sajad A.
Elnaggar, Mahmoud
Hall, Thomas J.
McHugo, Gillian P.
Reid, Cian
MacHugh, David E.
Meade, Kieran G.
Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title_full Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title_fullStr Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title_full_unstemmed Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title_short Preferential differential gene expression within the WC1.1(+) γδ T cell compartment in cattle naturally infected with Mycobacterium bovis
title_sort preferential differential gene expression within the wc1.1(+) γδ t cell compartment in cattle naturally infected with mycobacterium bovis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10628470/
https://www.ncbi.nlm.nih.gov/pubmed/37942326
http://dx.doi.org/10.3389/fimmu.2023.1265038
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