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相关概念视频

Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...

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相关实验视频

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A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
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scGSDR:利用基因语义来进行单细胞药理分析.

Yu-An Huang1,2, Xiyue Cao2, Zhu-Hong You3

  • 1Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen, China.

Communications biology
|October 30, 2025
PubMed
概括

我们开发了scGSDR,这是一个计算模型,通过整合基因语义和通路来预测细胞对药物的反应. 该工具通过识别药物耐药性机制并帮助开发向治疗来增强精准医学.

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科学领域:

  • 计算生物学 计算生物学
  • 药物基因组学 药物基因组学
  • 精准医学是一门精准的医学.

背景情况:

  • 单细胞测序揭示了细胞异质性在抗药性中的作用.
  • 计算模型可以使用现有数据预测细胞对药物的反应.
  • 了解基因语义和信号通路对于生物学见解至关重要.

研究的目的:

  • 开发一种计算模型 (scGSDR),用于预测细胞对药物的反应.
  • 通过结合基因语义和通路信息来提高预测性能.
  • 确定关键的途径和基因,有助于药物耐药性表型.

主要方法:

  • 整合了两个计算管道,重点关注细胞状态和基因信号通路.
  • 将基因语义纳入模型,以提高预测准确度.
  • 开发了一个可解释性模块,以识别与耐药性相关的途径和基因.

主要成果:

  • 与使用大量或单细胞RNA测序数据的现有方法相比,scGSDR显示出更高的预测准确性.
  • 该模型成功地预测了对单一药物和药物组合的反应.
  • 注意力得分的生物解释性确定了相关的基因 (例如,BCL2,CCND1,PIK3CA) 和参与药物耐药性的途径.

结论:

  • scGSDR通过结合基因语义,有效地模拟细胞对各种药物的反应,包括组合.
  • 该模型有助于识别关键的耐药性途径,推进精准医学.
  • scGSDR通过精确定位潜在的药物相关基因,促进了针对性治疗的开发.