生物
表型
CD8型
CD38
记忆T细胞
细胞
存储单元
细胞生物学
免疫学
免疫系统
炎症
计算生物学
遗传学
基因
干细胞
量子力学
物理
电压
川地34
晶体管
作者
Maximilien Evrard,Étienne Becht,Raíssa Fonseca,Andreas Obers,Simone L. Park,Nagela Ghabdan-Zanluqui,Jan Schroeder,Susan N. Christo,Dominik Schienstock,Junyun Lai,Thomas N. Burn,Allison Clatch,Imran G. House,Paul A. Beavis,Axel Kallies,Florent Ginhoux,Scott N. Mueller,Raphaël Gottardo,Evan W. Newell,Laura K. Mackay
出处
期刊:Immunity
[Cell Press]
日期:2023-07-01
卷期号:56 (7): 1664-1680.e9
被引量:13
标识
DOI:10.1016/j.immuni.2023.06.005
摘要
Memory CD8+ T cells can be broadly divided into circulating (TCIRCM) and tissue-resident memory T (TRM) populations. Despite well-defined migratory and transcriptional differences, the phenotypic and functional delineation of TCIRCM and TRM cells, particularly across tissues, remains elusive. Here, we utilized an antibody screening platform and machine learning prediction pipeline (InfinityFlow) to profile >200 proteins in TCIRCM and TRM cells in solid organs and barrier locations. High-dimensional analyses revealed unappreciated heterogeneity within TCIRCM and TRM cell lineages across nine different organs after either local or systemic murine infection models. Additionally, we demonstrated the relative effectiveness of strategies allowing for the selective ablation of TCIRCM or TRM populations across organs and identified CD55, KLRG1, CXCR6, and CD38 as stable markers for characterizing memory T cell function during inflammation. Together, these data and analytical framework provide an in-depth resource for memory T cell classification in both steady-state and inflammatory conditions.
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