Cargando…
The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus
Genetically resistant or susceptible chickens to Marek’s disease (MD) have been widely used models to identify the molecular determinants of these phenotypes. However, these prior studies lacked the basic identification and understanding of immune cell types that could be translated toward improved...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067856/ https://www.ncbi.nlm.nih.gov/pubmed/37005445 http://dx.doi.org/10.1038/s41598-023-32308-x |
_version_ | 1785018562983755776 |
---|---|
author | Warren, Wesley C. Rice, Edward S. Meyer, Ashley Hearn, Cari J. Steep, Alec Hunt, Henry D. Monson, Melissa S. Lamont, Susan J. Cheng, Hans H. |
author_facet | Warren, Wesley C. Rice, Edward S. Meyer, Ashley Hearn, Cari J. Steep, Alec Hunt, Henry D. Monson, Melissa S. Lamont, Susan J. Cheng, Hans H. |
author_sort | Warren, Wesley C. |
collection | PubMed |
description | Genetically resistant or susceptible chickens to Marek’s disease (MD) have been widely used models to identify the molecular determinants of these phenotypes. However, these prior studies lacked the basic identification and understanding of immune cell types that could be translated toward improved MD control. To gain insights into specific immune cell types and their responses to Marek’s disease virus (MDV) infection, we used single-cell RNA sequencing (scRNAseq) on splenic cells from MD resistant and susceptible birds. In total, 14,378 cells formed clusters that identified various immune cell types. Lymphocytes, specifically T cell subtypes, were the most abundant with significant proportional changes in some subtypes upon infection. The largest number of differentially expressed genes (DEG) response was seen in granulocytes, while macrophage DEGs differed in directionality by subtype and line. Among the most DEG in almost all immune cell types were granzyme and granulysin, both associated with cell-perforating processes. Protein interactive network analyses revealed multiple overlapping canonical pathways within both lymphoid and myeloid cell lineages. This initial estimation of the chicken immune cell type landscape and its accompanying response will greatly aid efforts in identifying specific cell types and improving our knowledge of host response to viral infection. |
format | Online Article Text |
id | pubmed-10067856 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100678562023-04-04 The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus Warren, Wesley C. Rice, Edward S. Meyer, Ashley Hearn, Cari J. Steep, Alec Hunt, Henry D. Monson, Melissa S. Lamont, Susan J. Cheng, Hans H. Sci Rep Article Genetically resistant or susceptible chickens to Marek’s disease (MD) have been widely used models to identify the molecular determinants of these phenotypes. However, these prior studies lacked the basic identification and understanding of immune cell types that could be translated toward improved MD control. To gain insights into specific immune cell types and their responses to Marek’s disease virus (MDV) infection, we used single-cell RNA sequencing (scRNAseq) on splenic cells from MD resistant and susceptible birds. In total, 14,378 cells formed clusters that identified various immune cell types. Lymphocytes, specifically T cell subtypes, were the most abundant with significant proportional changes in some subtypes upon infection. The largest number of differentially expressed genes (DEG) response was seen in granulocytes, while macrophage DEGs differed in directionality by subtype and line. Among the most DEG in almost all immune cell types were granzyme and granulysin, both associated with cell-perforating processes. Protein interactive network analyses revealed multiple overlapping canonical pathways within both lymphoid and myeloid cell lineages. This initial estimation of the chicken immune cell type landscape and its accompanying response will greatly aid efforts in identifying specific cell types and improving our knowledge of host response to viral infection. Nature Publishing Group UK 2023-04-01 /pmc/articles/PMC10067856/ /pubmed/37005445 http://dx.doi.org/10.1038/s41598-023-32308-x Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Warren, Wesley C. Rice, Edward S. Meyer, Ashley Hearn, Cari J. Steep, Alec Hunt, Henry D. Monson, Melissa S. Lamont, Susan J. Cheng, Hans H. The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title | The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title_full | The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title_fullStr | The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title_full_unstemmed | The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title_short | The immune cell landscape and response of Marek’s disease resistant and susceptible chickens infected with Marek’s disease virus |
title_sort | immune cell landscape and response of marek’s disease resistant and susceptible chickens infected with marek’s disease virus |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10067856/ https://www.ncbi.nlm.nih.gov/pubmed/37005445 http://dx.doi.org/10.1038/s41598-023-32308-x |
work_keys_str_mv | AT warrenwesleyc theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT riceedwards theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT meyerashley theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT hearncarij theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT steepalec theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT hunthenryd theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT monsonmelissas theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT lamontsusanj theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT chenghansh theimmunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT warrenwesleyc immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT riceedwards immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT meyerashley immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT hearncarij immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT steepalec immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT hunthenryd immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT monsonmelissas immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT lamontsusanj immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus AT chenghansh immunecelllandscapeandresponseofmareksdiseaseresistantandsusceptiblechickensinfectedwithmareksdiseasevirus |