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单细胞水平的环境致癌作用。

Environmental Carcinogenesis at the Single-Cell Level.

作者信息

Chang Gregory, Saeki Kohei, Mori Hitomi, Chen Shiuan

机构信息

Department of Cancer Biology, Beckman Research Institute of City of Hope, Duarte, California.

出版信息

Cancer Epidemiol Biomarkers Prev. 2020 Oct;29(10):1880-1886. doi: 10.1158/1055-9965.EPI-19-1364. Epub 2020 Mar 4.

Abstract

Elucidating the mechanisms behind how exposure to environmental chemicals can lead to cancer is not easy due to the complex natures of these compounds and the challenges to establish biologically relevant experimental models to study them. Environmental chemicals often present selective mechanisms of action on different cell types and can be involved in the modulation of targeted cells and their microenvironment, including immune cells. Currently, the limitations of traditional epidemiologic correlation analyses, cell-based assays, and animal models are that they are unable to comprehensively examine cellular heterogeneity and the tissue-selective influences. To this end, we propose utilizing single-cell RNA-sequencing (scRNA-seq) to more effectively capture the subtle and complex effects of environmental chemicals and how their exposure could lead to cancer. scRNA-seq's capabilities for studying gene expression level data at a significantly higher resolution relative to bulk RNA-sequencing (RNA-seq) enable studies to evaluate how environmental chemicals regulate gene transcription on different cell types as well as how these compounds impact signaling pathways and interactions between cells in the tissue microenvironment. These studies will be valuable for evaluating environmental chemicals' carcinogenic properties at the individual cell level.

摘要

由于这些化合物的复杂性质以及建立具有生物学相关性的实验模型来研究它们所面临的挑战,阐明接触环境化学物质如何导致癌症背后的机制并非易事。环境化学物质通常对不同细胞类型呈现出选择性作用机制,并可能参与对靶细胞及其微环境(包括免疫细胞)的调节。目前,传统的流行病学相关性分析、基于细胞的检测方法和动物模型的局限性在于它们无法全面检查细胞异质性和组织选择性影响。为此,我们建议利用单细胞RNA测序(scRNA-seq)来更有效地捕捉环境化学物质的细微和复杂影响,以及它们的接触如何导致癌症。相对于批量RNA测序(RNA-seq),scRNA-seq能够以显著更高的分辨率研究基因表达水平数据,从而使研究能够评估环境化学物质如何调节不同细胞类型上的基因转录,以及这些化合物如何影响组织微环境中细胞之间的信号通路和相互作用。这些研究对于在单个细胞水平评估环境化学物质的致癌特性将具有重要价值。

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本文引用的文献

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Comprehensive Integration of Single-Cell Data.单细胞数据的综合整合。
Cell. 2019 Jun 13;177(7):1888-1902.e21. doi: 10.1016/j.cell.2019.05.031. Epub 2019 Jun 6.
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