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单分子荧光原位杂交技术检测感染诱导肉芽肿的成像结构

Imaging Architecture of Granulomas Induced by Infections with Single-Molecule FISH.

作者信息

Kumar Ranjeet, Kolloli Afsal, Subbian Selvakumar, Kaushal Deepak, Shi Lanbo, Tyagi Sanjay

机构信息

Public Health Research Institute, New Jersey Medical School, Rutgers University, Newark, New Jersey.

Department of Medicine, New Jersey Medical School, Rutgers University, Newark, New Jersey.

出版信息

bioRxiv. 2023 Feb 3:2023.02.02.526702. doi: 10.1101/2023.02.02.526702.

Abstract

Granulomas are an important hallmark of () infection. They are organized and dynamic structures created by an assembly of immune cells around the sites of infection in the lungs to locally restrict the bacterial growth and the host's inflammatory responses. The cellular architecture of granulomas is traditionally studied by immunofluorescence labeling of phenotypic surface markers. However, very few antibodies are available for model animals used in tuberculosis research, such as non-human primates and rabbits; secreted immunological markers such as cytokines cannot be imaged using antibodies; and traditional phenotypic surface markers do not provide sufficient resolution for the detection of many subtypes and differentiation states of immune cells. Using single-molecule fluorescent hybridization (smFISH) and its derivatives, amplified smFISH (ampFISH) and iterative smFISH, we developed a platform for imaging mRNAs encoding immune markers in rabbit and macaque tuberculosis granulomas. Multiplexed imaging for several mRNA and protein markers was followed by quantitative measurement of expression of these markers in single cells . A quantitative analysis of combinatorial expressions of these markers allowed us to classify the cells into several subtypes and chart their distributions within granulomas. For one mRNA target, HIF-1α, we were able to image its mRNA and protein in the same cells, demonstrating the specificity of probes. This method paves the way for defining granular differentiation states and cell subtypes from transcriptomic data, identifying key mRNA markers for these cell subtypes, and then locating the cells in the spatial context of granulomas.

摘要

肉芽肿是()感染的一个重要标志。它们是由肺内感染部位周围的免疫细胞聚集形成的有组织的动态结构,用于局部限制细菌生长和宿主的炎症反应。传统上,通过对表型表面标志物进行免疫荧光标记来研究肉芽肿的细胞结构。然而,用于结核病研究的模型动物,如非人灵长类动物和兔子,可用的抗体非常少;细胞因子等分泌性免疫标志物无法用抗体成像;传统的表型表面标志物对于检测免疫细胞的许多亚型和分化状态没有提供足够的分辨率。我们利用单分子荧光原位杂交(smFISH)及其衍生技术,即扩增smFISH(ampFISH)和迭代smFISH,开发了一个平台,用于对兔和猕猴结核病肉芽肿中编码免疫标志物的mRNA进行成像。对几种mRNA和蛋白质标志物进行多重成像后,对这些标志物在单个细胞中的表达进行定量测量。对这些标志物组合表达的定量分析使我们能够将细胞分类为几个亚型,并绘制它们在肉芽肿内的分布。对于一个mRNA靶点HIF-1α,我们能够在同一细胞中对其mRNA和蛋白质进行成像,证明了探针的特异性。这种方法为从转录组数据定义颗粒分化状态和细胞亚型、识别这些细胞亚型的关键mRNA标志物,然后在肉芽肿的空间背景中定位细胞铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fdf4/9915589/3b2c4dd15faf/nihpp-2023.02.02.526702v1-f0001.jpg

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