关键词: Biomarker discovery CNS, Central nervous system CODEX, Co-detection by indexing CTLA-4, Cytotoxic T-lymphocyte-associated protein 4 DSP, Digital Spatial Profiler FF, Fresh-frozen FFPE, Formalin-fixed paraffin-embedded FOXP3, Forkhead box P3 HER2, Human epidermal growth factor receptor 2 HRP, Horseradish peroxidase IDO, Indoleamine 2,3-dioxygenase IHC, Immunohistochemistry IL-10, Interleukin-10 IMC, Imaging Mass Cytometry MCI, Mass Cytometry Imaging MIBI, Multiplexed Ion Beam Imaging MS, Multiple sclerosis Multiplex tissue imaging PD-L1, Programmed death-ligand 1 PD1, Programmed cell death protein 1 Pathogenesis ROI, Regions of interest SARS-CoV-2, Severe acute respiratory syndrome coronavirus 2 Spatial biology Spatial proteomics T1DM, Type 1 diabetes mellitus TME, Tumor microenvironments TNF-α, Tumor necrosis factor alpha TOF, Time-of-flight TSA, Tyramide signal amplification

来  源:   DOI:10.1016/j.csbj.2022.09.005   PDF(Pubmed)

Abstract:
Over the past decade, our understanding of human diseases has rapidly grown from the rise of single-cell spatial biology. While conventional tissue imaging has focused on visualizing morphological features, the development of multiplex tissue imaging from fluorescence-based methods to DNA- and mass cytometry-based methods has allowed visualization of over 60 markers on a single tissue section. The advancement of spatial biology with a single-cell resolution has enabled the visualization of cell-cell interactions and the tissue microenvironment, a crucial part to understanding the mechanisms underlying pathogenesis. Alongside the development of extensive marker panels which can distinguish distinct cell phenotypes, multiplex tissue imaging has facilitated the analysis of high dimensional data to identify novel biomarkers and therapeutic targets, while considering the spatial context of the cellular environment. This mini-review provides an overview of the recent advancements in multiplex imaging technologies and examines how these methods have been used in exploring pathogenesis and biomarker discovery in cancer, autoimmune and infectious diseases.
摘要:
在过去的十年里,我们对人类疾病的理解已经从单细胞空间生物学的兴起迅速发展起来。虽然传统的组织成像专注于可视化形态学特征,从基于荧光的方法到基于DNA和质量细胞计数的方法的多重组织成像的发展已经允许在单个组织切片上可视化超过60个标志物。具有单细胞分辨率的空间生物学的进步使细胞-细胞相互作用和组织微环境的可视化成为可能,理解潜在发病机制的关键部分。随着广泛的标记面板的发展,可以区分不同的细胞表型,多重组织成像促进了高维数据的分析,以识别新的生物标志物和治疗目标,同时考虑蜂窝环境的空间背景。这篇小型综述概述了多重成像技术的最新进展,并探讨了这些方法如何用于探索癌症的发病机制和生物标志物发现。自身免疫性和感染性疾病。
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