Application of single cell gene expression technologies to neurotoxicology

IF 4.6
Anke M. Tukker, Aaron B. Bowman
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引用次数: 0

Abstract

Neurotoxicological research faces the challenge of linking biological changes resulting from exposures to neuronal function. An additional challenge is understanding cell-type-specific differences and selective vulnerabilities of distinct neuronal populations to toxic insults. Single-cell RNA-sequencing (scRNA-seq) allows for measurement of the transcriptome of individual cells. This makes it a valuable tool for validating and characterizing cell types present in multi-cell type samples in complex tissue or cell culture models, but also for understanding how different cell types respond to toxic insults. Pathway analysis of differentially expressed genes can provide in-depth insights into underlying cell-type-specific mechanisms of neurotoxicity. Toxicological data often has to be translated to outcomes for human health which requires an understanding of inter-species differences. Transcriptomic data aids in understanding these differences, including understanding the developmental timelines of different species. We believe that scRNA-seq holds exciting promises for future neurotoxicological research.

单细胞基因表达技术在神经毒理学中的应用
神经毒理学研究面临的挑战是如何将暴露导致的生物变化与神经元功能联系起来。另一项挑战是了解细胞类型的具体差异以及不同神经元群体在毒性损伤面前的选择性脆弱性。单细胞 RNA 测序(scRNA-seq)可以测量单个细胞的转录组。这使其成为验证和表征复杂组织或细胞培养模型中多细胞类型样本中存在的细胞类型的重要工具,同时也是了解不同细胞类型如何应对毒性损伤的重要工具。对差异表达基因进行通路分析可以深入了解神经毒性的潜在细胞类型特异性机制。毒理学数据往往需要转化为人类健康的结果,这就需要了解物种间的差异。转录组数据有助于了解这些差异,包括了解不同物种的发育时间表。我们相信,scRNA-seq 为未来的神经毒理学研究带来了令人兴奋的前景。
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来源期刊
Current opinion in toxicology
Current opinion in toxicology Toxicology, Biochemistry
CiteScore
8.50
自引率
0.00%
发文量
0
审稿时长
64 days
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