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Analysis of human lung mast cells by single cell RNA sequencing

Mast cells are tissue-resident cells playing major roles in homeostasis and disease conditions. Lung mast cells are particularly important in airway inflammatory diseases such as asthma. Human mast cells are classically divided into the subsets MC(T) and MC(TC), where MC(T) express the mast cell pro...

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Autores principales: Rönnberg, Elin, Ravindran, Avinash, Mazzurana, Luca, Gong, Yitao, Säfholm, Jesper, Lorent, Julie, Dethlefsen, Olga, Orre, Ann-Charlotte, Al-Ameri, Mamdoh, Adner, Mikael, Dahlén, Sven-Erik, Dahlin, Joakim S., Mjösberg, Jenny, Nilsson, Gunnar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100501/
https://www.ncbi.nlm.nih.gov/pubmed/37063885
http://dx.doi.org/10.3389/fimmu.2023.1151754
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author Rönnberg, Elin
Ravindran, Avinash
Mazzurana, Luca
Gong, Yitao
Säfholm, Jesper
Lorent, Julie
Dethlefsen, Olga
Orre, Ann-Charlotte
Al-Ameri, Mamdoh
Adner, Mikael
Dahlén, Sven-Erik
Dahlin, Joakim S.
Mjösberg, Jenny
Nilsson, Gunnar
author_facet Rönnberg, Elin
Ravindran, Avinash
Mazzurana, Luca
Gong, Yitao
Säfholm, Jesper
Lorent, Julie
Dethlefsen, Olga
Orre, Ann-Charlotte
Al-Ameri, Mamdoh
Adner, Mikael
Dahlén, Sven-Erik
Dahlin, Joakim S.
Mjösberg, Jenny
Nilsson, Gunnar
author_sort Rönnberg, Elin
collection PubMed
description Mast cells are tissue-resident cells playing major roles in homeostasis and disease conditions. Lung mast cells are particularly important in airway inflammatory diseases such as asthma. Human mast cells are classically divided into the subsets MC(T) and MC(TC), where MC(T) express the mast cell protease tryptase and MC(TC) in addition express chymase, carboxypeptidase A3 (CPA3) and cathepsin G. Apart from the disctintion of the MC(T) and MC(TC) subsets, little is known about the heterogeniety of human lung mast cells and a deep analysis of their heterogeniety has previously not been performed. We therefore performed single cell RNA sequencing on sorted human lung mast cells using SmartSeq2. The mast cells showed high expression of classical mast cell markers. The expression of several individual genes varied considerably among the cells, however, no subpopulations were detected by unbiased clustering. Variable genes included the protease-encoding transcripts CMA1 (chymase) and CTSG (cathepsin G). Human lung mast cells are predominantly of the MC(T) subset and consistent with this, the expression of CMA1 was only detectable in a small proportion of the cells, and correlated moderately to CTSG. However, in contrast to established data for the protein, CPA3 mRNA was high in all cells and the correlation of CPA3 to CMA1 was weak.
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spelling pubmed-101005012023-04-14 Analysis of human lung mast cells by single cell RNA sequencing Rönnberg, Elin Ravindran, Avinash Mazzurana, Luca Gong, Yitao Säfholm, Jesper Lorent, Julie Dethlefsen, Olga Orre, Ann-Charlotte Al-Ameri, Mamdoh Adner, Mikael Dahlén, Sven-Erik Dahlin, Joakim S. Mjösberg, Jenny Nilsson, Gunnar Front Immunol Immunology Mast cells are tissue-resident cells playing major roles in homeostasis and disease conditions. Lung mast cells are particularly important in airway inflammatory diseases such as asthma. Human mast cells are classically divided into the subsets MC(T) and MC(TC), where MC(T) express the mast cell protease tryptase and MC(TC) in addition express chymase, carboxypeptidase A3 (CPA3) and cathepsin G. Apart from the disctintion of the MC(T) and MC(TC) subsets, little is known about the heterogeniety of human lung mast cells and a deep analysis of their heterogeniety has previously not been performed. We therefore performed single cell RNA sequencing on sorted human lung mast cells using SmartSeq2. The mast cells showed high expression of classical mast cell markers. The expression of several individual genes varied considerably among the cells, however, no subpopulations were detected by unbiased clustering. Variable genes included the protease-encoding transcripts CMA1 (chymase) and CTSG (cathepsin G). Human lung mast cells are predominantly of the MC(T) subset and consistent with this, the expression of CMA1 was only detectable in a small proportion of the cells, and correlated moderately to CTSG. However, in contrast to established data for the protein, CPA3 mRNA was high in all cells and the correlation of CPA3 to CMA1 was weak. Frontiers Media S.A. 2023-03-30 /pmc/articles/PMC10100501/ /pubmed/37063885 http://dx.doi.org/10.3389/fimmu.2023.1151754 Text en Copyright © 2023 Rönnberg, Ravindran, Mazzurana, Gong, Säfholm, Lorent, Dethlefsen, Orre, Al-Ameri, Adner, Dahlén, Dahlin, Mjösberg and Nilsson 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
Rönnberg, Elin
Ravindran, Avinash
Mazzurana, Luca
Gong, Yitao
Säfholm, Jesper
Lorent, Julie
Dethlefsen, Olga
Orre, Ann-Charlotte
Al-Ameri, Mamdoh
Adner, Mikael
Dahlén, Sven-Erik
Dahlin, Joakim S.
Mjösberg, Jenny
Nilsson, Gunnar
Analysis of human lung mast cells by single cell RNA sequencing
title Analysis of human lung mast cells by single cell RNA sequencing
title_full Analysis of human lung mast cells by single cell RNA sequencing
title_fullStr Analysis of human lung mast cells by single cell RNA sequencing
title_full_unstemmed Analysis of human lung mast cells by single cell RNA sequencing
title_short Analysis of human lung mast cells by single cell RNA sequencing
title_sort analysis of human lung mast cells by single cell rna sequencing
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10100501/
https://www.ncbi.nlm.nih.gov/pubmed/37063885
http://dx.doi.org/10.3389/fimmu.2023.1151754
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