Single cell multiomics systems biology for molecular toxicity

IF 4.6
Graciel Diamante , Sung Min Ha , Darren Wijaya , Xia Yang
{"title":"Single cell multiomics systems biology for molecular toxicity","authors":"Graciel Diamante ,&nbsp;Sung Min Ha ,&nbsp;Darren Wijaya ,&nbsp;Xia Yang","doi":"10.1016/j.cotox.2024.100477","DOIUrl":null,"url":null,"abstract":"<div><p>Exposure to environmental chemicals has been associated with increased risks for various diseases, but our understanding of their molecular targets and how they drive disease progression remains limited. Environmental toxicants can trigger a multitude of effects on the epigenome, transcriptome, proteome, and other molecular entities in individual cells and tissues. The recent advances in high throughput single cell multiomics technologies are enabling a deeper understanding of these complex molecular alterations and interactions underlying exposure mode of action at a single cell resolution. Accompanying the increased capacity to generate single cell multiomics data is the rapid advancement in computational tools for data analysis of individual omics layers, multimodal data integration and molecular network modeling. Recent applications of single cell omics technologies and analytical methods have enabled the elucidation of cell type specific genes and pathways affected by various environmental exposures. Further adoption of advanced single cell multiomics methodologies in the molecular toxicology field promises a more comprehensive understanding of the regulatory networks within and between cell types underlying the perturbations in physiological systems and disease risks posed by environmental toxicants.</p></div>","PeriodicalId":93968,"journal":{"name":"Current opinion in toxicology","volume":"39 ","pages":"Article 100477"},"PeriodicalIF":4.6000,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2468202024000196/pdfft?md5=0b57f1b89e2ea33581a8cfdd65aac38f&pid=1-s2.0-S2468202024000196-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current opinion in toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468202024000196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Exposure to environmental chemicals has been associated with increased risks for various diseases, but our understanding of their molecular targets and how they drive disease progression remains limited. Environmental toxicants can trigger a multitude of effects on the epigenome, transcriptome, proteome, and other molecular entities in individual cells and tissues. The recent advances in high throughput single cell multiomics technologies are enabling a deeper understanding of these complex molecular alterations and interactions underlying exposure mode of action at a single cell resolution. Accompanying the increased capacity to generate single cell multiomics data is the rapid advancement in computational tools for data analysis of individual omics layers, multimodal data integration and molecular network modeling. Recent applications of single cell omics technologies and analytical methods have enabled the elucidation of cell type specific genes and pathways affected by various environmental exposures. Further adoption of advanced single cell multiomics methodologies in the molecular toxicology field promises a more comprehensive understanding of the regulatory networks within and between cell types underlying the perturbations in physiological systems and disease risks posed by environmental toxicants.

针对分子毒性的单细胞多组学系统生物学
暴露于环境化学物质与各种疾病风险的增加有关,但我们对其分子靶点及其如何驱动疾病进展的了解仍然有限。环境毒物会对单个细胞和组织的表观基因组、转录组、蛋白质组和其他分子实体产生多种影响。高通量单细胞多组学技术的最新进展使人们能够以单细胞分辨率更深入地了解这些复杂的分子变化和暴露作用模式背后的相互作用。随着单细胞多组学数据生成能力的提高,用于单个 omics 层数据分析、多模态数据整合和分子网络建模的计算工具也在迅速发展。单细胞多组学技术和分析方法的最新应用,使人们能够阐明受各种环境暴露影响的特定细胞类型基因和通路。在分子毒理学领域进一步采用先进的单细胞多组学方法有望更全面地了解细胞类型内部和细胞类型之间的调控网络,这些网络是环境毒物对生理系统和疾病风险造成干扰的基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信