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Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke

BACKGROUND: Ischemic stroke is a medical emergency that primarily affects the elderly. A complex immune response in the post-stroke brain constitutes a key component of stroke pathophysiology. This study aimed to determine how stroke affects immune cell populations in the aged brain based on molecul...

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Autores principales: Li, Xuan, Lyu, Jingjun, Li, Ran, Jain, Vaibhav, Shen, Yuntian, del Águila, Ángela, Hoffmann, Ulrike, Sheng, Huaxin, Yang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988369/
https://www.ncbi.nlm.nih.gov/pubmed/35392936
http://dx.doi.org/10.1186/s12974-022-02447-5
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author Li, Xuan
Lyu, Jingjun
Li, Ran
Jain, Vaibhav
Shen, Yuntian
del Águila, Ángela
Hoffmann, Ulrike
Sheng, Huaxin
Yang, Wei
author_facet Li, Xuan
Lyu, Jingjun
Li, Ran
Jain, Vaibhav
Shen, Yuntian
del Águila, Ángela
Hoffmann, Ulrike
Sheng, Huaxin
Yang, Wei
author_sort Li, Xuan
collection PubMed
description BACKGROUND: Ischemic stroke is a medical emergency that primarily affects the elderly. A complex immune response in the post-stroke brain constitutes a key component of stroke pathophysiology. This study aimed to determine how stroke affects immune cell populations in the aged brain based on molecular profiles of individual cells. METHODS: Single-cell RNA sequencing and a new transient ischemic stroke mouse model with late reperfusion were used. RESULTS: We generated, for the first time, a composite picture of immune cell populations in the stroke aged brain at single-cell resolution. We discovered at least 6 microglial subsets in the stroke aged brain, including a potentially stroke-specific subtype. Moreover, we identified major cell subpopulations formed by infiltrated myeloid cells after stroke, and revealed their unique molecular profiles. CONCLUSIONS: This study provided the first scRNA-seq data set for immune cells in the stroke aged brain, and offered novel insights into post-stroke immune cell heterogeneity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02447-5.
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spelling pubmed-89883692022-04-08 Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke Li, Xuan Lyu, Jingjun Li, Ran Jain, Vaibhav Shen, Yuntian del Águila, Ángela Hoffmann, Ulrike Sheng, Huaxin Yang, Wei J Neuroinflammation Brief Report BACKGROUND: Ischemic stroke is a medical emergency that primarily affects the elderly. A complex immune response in the post-stroke brain constitutes a key component of stroke pathophysiology. This study aimed to determine how stroke affects immune cell populations in the aged brain based on molecular profiles of individual cells. METHODS: Single-cell RNA sequencing and a new transient ischemic stroke mouse model with late reperfusion were used. RESULTS: We generated, for the first time, a composite picture of immune cell populations in the stroke aged brain at single-cell resolution. We discovered at least 6 microglial subsets in the stroke aged brain, including a potentially stroke-specific subtype. Moreover, we identified major cell subpopulations formed by infiltrated myeloid cells after stroke, and revealed their unique molecular profiles. CONCLUSIONS: This study provided the first scRNA-seq data set for immune cells in the stroke aged brain, and offered novel insights into post-stroke immune cell heterogeneity. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12974-022-02447-5. BioMed Central 2022-04-07 /pmc/articles/PMC8988369/ /pubmed/35392936 http://dx.doi.org/10.1186/s12974-022-02447-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Brief Report
Li, Xuan
Lyu, Jingjun
Li, Ran
Jain, Vaibhav
Shen, Yuntian
del Águila, Ángela
Hoffmann, Ulrike
Sheng, Huaxin
Yang, Wei
Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title_full Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title_fullStr Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title_full_unstemmed Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title_short Single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
title_sort single-cell transcriptomic analysis of the immune cell landscape in the aged mouse brain after ischemic stroke
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988369/
https://www.ncbi.nlm.nih.gov/pubmed/35392936
http://dx.doi.org/10.1186/s12974-022-02447-5
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