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以单细胞分辨率拥抱系统毒理学。

Embracing Systems Toxicology at Single-Cell Resolution.

作者信息

Zhang Qiang, Caudle W Michael, Pi Jingbo, Bhattacharya Sudin, Andersen Melvin E, Kaminski Norbert E, Conolly Rory B

机构信息

Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.

Program of Environmental Toxicology, School of Public Health, China Medical University, Shenyang, China.

出版信息

Curr Opin Toxicol. 2019 Aug;16:49-57. doi: 10.1016/j.cotox.2019.04.003. Epub 2019 Apr 19.

DOI:10.1016/j.cotox.2019.04.003
PMID:31768481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6876623/
Abstract

As systems biology expands its multi-omic spectrum to increasing resolutions, distinguishing cells based on single-cell profiles becomes feasible. Unlike traditional bulk assays that average cellular responses and blur the distinct identities of responsive cells, single-cell technologies enable sensitive detection of small cellular changes and precise identification of those cells perturbed by toxicants. Among the suite of omic technologies that continue to expand and become affordable, single-cell RNA sequencing (scRNA-seq) is at the cutting edge and leading the way to transform systems toxicology. Single-cell systems toxicology can provide a wealth of information to elucidate cell-specific alterations and response trajectories, detect points-of-departure, map and develop dynamical models of toxicity pathways.

摘要

随着系统生物学将其多组学谱扩展到越来越高的分辨率,基于单细胞图谱区分细胞变得可行。与传统的整体分析不同,传统分析会对细胞反应进行平均并模糊反应性细胞的独特身份,单细胞技术能够灵敏地检测到微小的细胞变化,并精确识别那些受到毒物干扰的细胞。在不断扩展且价格变得可承受的一系列组学技术中,单细胞RNA测序(scRNA-seq)处于前沿,并引领着系统毒理学变革的道路。单细胞系统毒理学可以提供丰富的信息,以阐明细胞特异性改变和反应轨迹,检测起始点,绘制并建立毒性途径的动力学模型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/40804d76818a/nihms-1527522-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/0db9a4d74aed/nihms-1527522-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/6a5e455c0a71/nihms-1527522-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/40804d76818a/nihms-1527522-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/0db9a4d74aed/nihms-1527522-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/6a5e455c0a71/nihms-1527522-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b664/6876623/40804d76818a/nihms-1527522-f0003.jpg

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