Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test01:22

Effect of Hepatic Disease on Pharmacokinetics: Pathophysiologic Assessment and Liver Function Test

271
In clinical practice, the direct measurement of hepatic blood flow to evaluate liver function presents significant challenges due to the intricate and specialized nature of the necessary techniques. Consequently, healthcare professionals often rely on empirical estimates derived from thorough patient examinations and liver function tests to gauge liver health. Among the tools at their disposal, the Child–Pugh and MELD scoring systems stand out for their ability to categorize and assess...
271

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Improving hit discovery by integrating activity cliff sensitivity into active learning.

Bioinformatics (Oxford, England)·2026
Same author

Validation of a 2-Gene Blood Test for Kawasaki Disease in Febrile Children.

JAMA network open·2026
Same author

Real-time volumetric imaging of cells and molecules in deep tissues with Takoyaki ultrasound.

Nature communications·2026
Same author

Association between smartphone overdependence and alcohol and tobacco use behaviors among adolescents in Korea.

Scientific reports·2026
Same author

Deep learning for predicting patient drug response by transferring gene-level and cell-level knowledge to tumors.

NPJ precision oncology·2026
Same author

Effects of Maternal Tetramethyl Bisphenol F Exposure on Neurodevelopment and Behavior in Mouse Offspring.

International journal of molecular sciences·2026

相关实验视频

Updated: May 5, 2026

Cell Type-specific Gene Expression Profiling in the Mouse Liver
10:06

Cell Type-specific Gene Expression Profiling in the Mouse Liver

Published on: September 17, 2019

7.6K

MDTR:一种以知识为导向的可解释表示,用于在转录基因水平上量化肝毒性.

Inyoung Sung1, Sangseon Lee2, Dongmin Bang1,3

  • 1Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.

Frontiers in pharmacology
|February 10, 2025
PubMed
概括
此摘要是机器生成的。

一个新的多维转录基因统治器 (MDTR) 从基因表达数据中量化药物诱导的肝损伤 (DILI). 该工具分析了转录组扰动,以揭示潜在的肝毒性机制,为药物安全性评估提供了可计算的方法.

关键词:
毒性的毒性程度.药物诱导的肝损伤是药物诱导的核心距离距离的距离.肝脏毒性的毒性 肝脏毒性一个级别的边界界.转录体的签名 转录体的签名

更多相关视频

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
11:06

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro

Published on: January 31, 2022

4.3K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

624

相关实验视频

Last Updated: May 5, 2026

Cell Type-specific Gene Expression Profiling in the Mouse Liver
10:06

Cell Type-specific Gene Expression Profiling in the Mouse Liver

Published on: September 17, 2019

7.6K
Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro
11:06

Human Liver Microphysiological System for Assessing Drug-Induced Liver Toxicity In Vitro

Published on: January 31, 2022

4.3K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

624

科学领域:

  • 计算生物学是一种计算生物学.
  • 毒理学 毒理学 毒理学
  • 基因组学就是基因组学.

背景情况:

  • 药物诱导性肝损伤 (DILI) 是一个重要的安全问题,传统上在患者层面进行研究.
  • 分析细胞基因表达变化为肝毒性机制提供了更深入的见解.
  • 现有的转录组数据分析受到剂量和时间依赖的表达变化和不可计算的毒性机制的挑战.

研究的目的:

  • 开发一种新的计算方法,在转录组层面量化DILI.
  • 将复杂的基因表达数据转化为可解释的肝毒性生物机制.
  • 提供一种易于使用的工具,用于从转录组数据中评估药物诱导的毒性.

主要方法:

  • 提出了多维转录基因统治器 (MDTR) 来从基因表达量化DILI.
  • 集成的KEGG途径来表示和聚合毒性机制.
  • 在一个转录原子核空间中使用一个辐射基核和Mahalanobis距离来测量途径级扰动.
  • 在雷达图表中将五种肝毒性机制视觉化为维度.

主要成果:

  • 与现有方法相比,MDTR在测量剂量依赖药物干扰的转录组数据距离方面表现出卓越的性能.
  • 该方法提供了可解释的洞察力DILI机制在一个度量空间.
  • 为方便使用MDTR工具,开发了一个公开可访问的网站.

结论:

  • MDTR提供了一种可靠和可解释的方法来分析药物诱导的转录组数据,以了解肝毒性.
  • 该工具有助于对DILI机制进行更易于计算和视觉评估.
  • 开发的平台通过提供可访问的转录基因数据分析来增强药物安全性评估.