Analysis of brain and blood single-cell transcriptomics in acute and subacute phases after experimental stroke

被引:34
|
作者
Garcia-Bonilla, Lidia [1 ]
Shahanoor, Ziasmin [1 ]
Sciortino, Rose [1 ]
Nazarzoda, Omina [1 ]
Racchumi, Gianfranco [1 ]
Iadecola, Costantino [1 ]
Anrather, Josef [1 ]
机构
[1] Weill Cornell Med, Feil Family Brain & Mind Res Inst, New York, NY 10065 USA
关键词
CENTRAL-NERVOUS-SYSTEM; GENE-EXPRESSION; T-CELLS; MICROGLIA; MOUSE; MACROPHAGES; GAMMA; ACCUMULATION; INFLAMMATION; NEUTROPHILS;
D O I
10.1038/s41590-023-01711-x
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Cerebral ischemia triggers a powerful inflammatory reaction involving peripheral leukocytes and brain resident cells that contribute to both tissue injury and repair. However, their dynamics and diversity remain poorly understood. To address these limitations, we performed a single-cell transcriptomic study of brain and blood cells 2 or 14 days after ischemic stroke in mice. We observed a strong divergence of post-ischemic microglia, monocyte-derived macrophages and neutrophils over time, while endothelial cells and brain-associated macrophages showed altered transcriptomic signatures at 2 days poststroke. Trajectory inference predicted the in situ trans-differentiation of macrophages from blood monocytes into day 2 and day 14 phenotypes, while neutrophils were projected to be continuously de novo recruited from the blood. Brain single-cell transcriptomes from both female and male aged mice were similar to that of young male mice, but aged and young brains differed in their immune cell composition. Although blood leukocyte analysis also revealed altered transcriptomes after stroke, brain-infiltrating leukocytes displayed higher transcriptomic divergence than their circulating counterparts, indicating that phenotypic diversification occurs within the brain in the early and recovery phases of ischemic stroke. A portal (https://anratherlab.shinyapps.io/strokevis/) is provided to allow user-friendly access to our data. Anrather and colleagues provide a longitudinal single-cell transcriptomic atlas of brain and mouse blood following stroke, describing brain-infiltrating leukocytes, circulating leukocytes, microglia and endothelium diversity over the ischemic-reperfusion time
引用
收藏
页码:357 / 370
页数:30
相关论文
共 50 条
  • [21] Deep learning applications in single-cell genomics and transcriptomics data analysis
    Erfanian, Nafiseh
    Heydari, A. Ali
    Feriz, Adib Miraki
    Ianez, Pablo
    Derakhshani, Afshin
    Ghasemigol, Mohammad
    Farahpour, Mohsen
    Razavi, Seyyed Mohammad
    Nasseri, Saeed
    Safarpour, Hossein
    Sahebkar, Amirhossein
    BIOMEDICINE & PHARMACOTHERAPY, 2023, 165
  • [22] Single-cell transcriptomics identifies new blood cell populations in Drosophila released at the onset of metamorphosis
    Hirschhaeuser, Alexander
    Molitor, Darius
    Salinas, Gabriela
    Grosshans, Jorg
    Rust, Katja
    Bogdan, Sven
    DEVELOPMENT, 2023, 150 (18):
  • [23] Single-cell RNA sequencing of peripheral blood mononuclear cells from acute Kawasaki disease patients
    Wang, Zhen
    Xie, Lijian
    Ding, Guohui
    Song, Sirui
    Chen, Liqin
    Li, Guang
    Xia, Min
    Han, Dingding
    Zheng, Yue
    Liu, Jia
    Xiao, Tingting
    Zhang, Hong
    Huang, Yujuan
    Li, Yixue
    Huang, Min
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [24] Single-cell and spatial transcriptomics analysis of non-small cell lung cancer
    De Zuani, Marco
    Xue, Haoliang
    Park, Jun Sung
    Dentro, Stefan C.
    Seferbekova, Zaira
    Tessier, Julien
    Curras-Alonso, Sandra
    Hadjipanayis, Angela
    Athanasiadis, Emmanouil I.
    Gerstung, Moritz
    Bayraktar, Omer
    Cvejic, Ana
    NATURE COMMUNICATIONS, 2024, 15 (01)
  • [25] Single-Cell RNA Sequencing and Spatial Transcriptomics Reveal Pathogenesis of Meningeal Lymphatic Dysfunction after Experimental Subarachnoid Hemorrhage
    Wang, Xiaoyu
    Zhang, Anke
    Yu, Qian
    Wang, Zelin
    Wang, Junjie
    Xu, Penglei
    Liu, Yibo
    Lu, Jianan
    Zheng, Jingwei
    Li, Huaming
    Qi, Yangjian
    Zhang, Jiahao
    Fang, Yuanjian
    Xu, Shenbin
    Zhou, Jingyi
    Wang, Kaikai
    Chen, Sheng
    Zhang, Jianmin
    ADVANCED SCIENCE, 2023, 10 (21)
  • [26] Single-cell transcriptomics of human traumatic brain injury reveals activation of endogenous retroviruses in oligodendroglia
    Garza, Raquel
    Sharma, Yogita
    Atacho, Diahann A. M.
    Thiruvalluvan, Arun
    Abu Hamdeh, Sami
    Jonsson, Marie E.
    Horvath, Vivien
    Adami, Anita
    Ingelsson, Martin
    Jern, Patric
    Hammell, Molly Gale
    Englund, Elisabet
    Kirkeby, Agnete
    Jakobsson, Johan
    Marklund, Niklas
    CELL REPORTS, 2023, 42 (11):
  • [27] Integrating spatial and single-cell transcriptomics to characterize the molecular and cellular architecture of the ischemic mouse brain
    Han, Bing
    Zhou, Shunheng
    Zhang, Yuan
    Chen, Sina
    Xi, Wen
    Liu, Chenchen
    Zhou, Xu
    Yuan, Mengqin
    Yu, Xiaoyu
    Li, Lu
    Wang, Yu
    Ren, Hui
    Xie, Jian
    Li, Bin
    Ju, Minzi
    Zhou, You
    Liu, Ziqi
    Xiong, Zhongli
    Shen, Ling
    Zhang, Yuan
    Bai, Ying
    Chen, Jun
    Jiang, Wei
    Yao, Honghong
    SCIENCE TRANSLATIONAL MEDICINE, 2024, 16 (733)
  • [28] Single-cell transcriptomics reveals common epithelial response patterns in human acute kidney injury
    Hinze, Christian
    Kocks, Christine
    Leiz, Janna
    Karaiskos, Nikos
    Boltengagen, Anastasiya
    Cao, Shuang
    Skopnik, Christopher Mark
    Klocke, Jan
    Hardenberg, Jan-Hendrik
    Stockmann, Helena
    Gotthardt, Inka
    Obermayer, Benedikt
    Haghverdi, Laleh
    Wyler, Emanuel
    Landthaler, Markus
    Bachmann, Sebastian
    Hocke, Andreas C.
    Corman, Victor
    Busch, Jonas
    Schneider, Wolfgang
    Himmerkus, Nina
    Bleich, Markus
    Eckardt, Kai-Uwe
    Enghard, Philipp
    Rajewsky, Nikolaus
    Schmidt-Ott, Kai M.
    GENOME MEDICINE, 2022, 14 (01)
  • [29] Integrative analysis of single-Cell RNA sequencing and experimental validation in the study of abdominal aortic aneurysm progression
    Xiong, Jie
    Chen, Guojun
    Lin, Beiyou
    Zhong, Lintao
    Jiang, Xiaofei
    Lu, Hongyun
    GENE, 2024, 929
  • [30] Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics
    Grones, Carolin
    Eekhout, Thomas
    Shi, Dongbo
    Neumann, Manuel
    Berg, Lea S.
    Ke, Yuji
    Shahan, Rachel
    Cox, Kevin L.
    Gomez-Cano, Fabio
    Nelissen, Hilde
    Lohmann, Jan U.
    Giacomello, Stefania
    Martin, Olivier C.
    Cole, Benjamin
    Wang, Jia-Wei
    Kaufmann, Kerstin
    Raissig, Michael T.
    Palfalvi, Gergo
    Greb, Thomas
    Libault, Marc
    De Rybel, Bert
    PLANT CELL, 2024, : 812 - 828