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联合蛋白和核酸成像揭示了病毒依赖性 B 细胞和巨噬细胞对组织微环境的免疫抑制作用。

Combined protein and nucleic acid imaging reveals virus-dependent B cell and macrophage immunosuppression of tissue microenvironments.

机构信息

Department of Pathology, Stanford University, Stanford, CA, USA; Center for Virology and Vaccine Research, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.

Vaccine and Gene Therapy Institute, Oregon Health & Science University, Beaverton, OR, USA.

出版信息

Immunity. 2022 Jun 14;55(6):1118-1134.e8. doi: 10.1016/j.immuni.2022.03.020. Epub 2022 Apr 20.

Abstract

Understanding the mechanisms of HIV tissue persistence necessitates the ability to visualize tissue microenvironments where infected cells reside; however, technological barriers limit our ability to dissect the cellular components of these HIV reservoirs. Here, we developed protein and nucleic acid in situ imaging (PANINI) to simultaneously quantify DNA, RNA, and protein levels within these tissue compartments. By coupling PANINI with multiplexed ion beam imaging (MIBI), we measured over 30 parameters simultaneously across archival lymphoid tissues from healthy or simian immunodeficiency virus (SIV)-infected nonhuman primates. PANINI enabled the spatial dissection of cellular phenotypes, functional markers, and viral events resulting from infection. SIV infection induced IL-10 expression in lymphoid B cells, which correlated with local macrophage M2 polarization. This highlights a potential viral mechanism for conditioning an immunosuppressive tissue environment for virion production. The spatial multimodal framework here can be extended to decipher tissue responses in other infectious diseases and tumor biology.

摘要

了解 HIV 组织持续性的机制需要能够可视化感染细胞所在的组织微环境;然而,技术障碍限制了我们剖析这些 HIV 储库中细胞成分的能力。在这里,我们开发了蛋白质和核酸原位成像(PANINI)技术,以同时定量分析这些组织隔室中的 DNA、RNA 和蛋白质水平。通过将 PANINI 与多重离子束成像(MIBI)相结合,我们在来自健康或猴免疫缺陷病毒(SIV)感染的非人类灵长类动物的存档淋巴组织中同时测量了 30 多个参数。PANINI 能够对细胞表型、功能标记和感染引起的病毒事件进行空间剖析。SIV 感染诱导淋巴 B 细胞中 IL-10 的表达,这与局部巨噬细胞 M2 极化相关。这突出了一种潜在的病毒机制,可调节有利于产生病毒粒子的免疫抑制组织环境。这里的空间多模态框架可以扩展到解析其他传染病和肿瘤生物学中的组织反应。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba81/9220319/3be782d1de20/fx1.jpg

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