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毒素DAR:一种工作流程软件,用于分析毒理学相关的蛋白质组和转录组数据,从数据准备到毒理学机制阐明

Peng Jiang¹, Zuzhen Zhang¹, Qing Yu²

¹School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China.

International journal of molecular sciences

|September 14, 2024

概括

研究人员开发了ToxDAR,这是一个R包,用于分析毒理学多omics数据. 该工具有助于了解化学毒性机制,并通过将omics数据与现有的毒理学知识相结合,识别潜在的治疗点.

科学领域:

毒理学和计算生物学
多omics 数据分析数据分析
药物发现和开发药物发现和开发

背景情况:

了解毒理机制对于药物开发,化学品安全和公共卫生至关重要.
高通量omics技术产生了大量的数据集,用于研究毒理反应.
分析和整合这些omics数据与现有的毒理学知识存在挑战.

研究的目的:

开发一个基于知识的分析系统,用于毒理学多种药物数据.
为了促进与化学毒性相关的生物途径的识别.
建立omics数据与已建立的毒理学知识之间的联系.

主要方法:

开发ToxDAR,一个以工作流为导向的R包,用于毒理学多组数据分析.
集成现有的R包 (NormExpression,DESeq2,graph) 和功能 (prcomp,phyper) 的整合.
纳入知识图与生物实体和交互类型的数据注释.
对三酸 (TPP) 转录组数据集的案例研究分析.

主要成果:

ToxDAR支持数据准备,质量控制,微分表达式,功能和网络分析.
知识图为omics分析结果提供了全面的注释.
对TPP毒理学的分析表明,通过甲状腺激素受体β (THRB) 激活,甲状腺功能受损,影响细胞死亡和炎症途径.

结论:

托克斯DAR是从多omics数据中了解毒理学机制的宝贵工具.
该套餐有助于发现新的治疗点和评估化学安全.
它弥合了复杂的OMIC数据和可操作的毒理学见解之间的差距.

关键词:

在R包中,R包是R包.毒理学机制毒理学机制毒理学转录组学分析分析

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