OMIP-103:用于联合检测人福尔马林固定石蜡包埋肠组织中艾滋病毒和免疫细胞群的 35 标记成像质谱仪。

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Kevin Hu, Thomas O'Neil, Nicolas Canete, Heeva Baharlou, Andrew Harman
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引用次数: 0

摘要

我们介绍了一种 35 标记成像质谱(IMC)面板,用于详细检查福尔马林固定石蜡包埋(FFPE)人体肠道组织中的免疫细胞群和 HIV RNA。该面板覆盖了广泛的细胞类型,尤其擅长划分单核吞噬细胞和 T 细胞亚群。其中还包括关键组织结构的标记物,可识别上皮、血管、淋巴管和肌肉组织。所述的 HIV RNA 检测方法可用于其他低丰度 RNA 目标,无论是内源性的还是病原体衍生的。因此,本文介绍的小组可用于肠道免疫细胞及其与 HIV 等病原体相互作用的高参数空间图谱。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

OMIP-103: A 35-marker imaging mass cytometry panel for the co-detection of HIV and immune cell populations in human formalin fixed paraffin embedded intestinal tissue

OMIP-103: A 35-marker imaging mass cytometry panel for the co-detection of HIV and immune cell populations in human formalin fixed paraffin embedded intestinal tissue

We introduce a 35-marker imaging mass cytometry (IMC) panel for a detailed examination of immune cell populations and HIV RNA in formalin fixed paraffin embedded (FFPE) human intestinal tissue. The panel has broad cell type coverage and particularly excels in delineating subsets of mononuclear phagocytes and T cells. Markers for key tissue structures are included, enabling identification of epithelium, blood vessels, lymphatics, and musculature. The described method for HIV RNA detection can be generalized to other low abundance RNA targets, whether endogenous or pathogen derived. As such, the panel presented here is useful for high parameter spatial mapping of intestinal immune cells and their interactions with pathogens such as HIV.

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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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