scDrugAtlas:一个整合性的单细胞药物反应数据库,用于剖析治疗疗效中的瘤异质性
Yanfei Wu1, Wei Huang1, Xinda Ren1
1College of Computer and Information Engineering, Nanjing Tech University, Nanjing 211816, Jiangsu, China.
Database : the journal of biological databases and curation
|February 20, 2026
概括
scDrugAtlas是一个新的数据库,集成单细胞药物反应数据,以对抗瘤耐药性. 该资源有助于研究人员开发预测模型并识别耐药癌细胞.
科学领域:
- 生物信息学是一种生物信息学.
- 癌症研究 癌症研究
- 计算生物学 计算生物学
背景情况:
- 瘤异质性会导致各种药物反应,耐药细胞导致复发和转移.
- 耐药性是癌症治疗的一个主要障碍,阻碍了治疗的有效性.
- 有限的单细胞药物反应数据阻碍了对抗性机制的理解和开发预测计算方法.
研究的目的:
- 引入scDrugAtlas,这是一个针对单细胞水平药物反应数据的综合数据库.
- 为研究瘤细胞耐药性的研究人员提供一个宝贵的资源.
- 促进计算模型的开发和识别耐药癌细胞.
主要方法:
- 从公共资源中手动编制了100多个单细胞药物反应数据集.
- 综合大规模单细胞转录特征和药物反应标签.
- 根据组织来源,药物暴露和细胞表型,为响应标签分配置信级别.
主要成果:
- 该数据库包含来自1023个样本,77种药物和31种癌症类型的数据.
- 包括单细胞转录特征和相关的药物反应标签.
- 为药物反应标签提供信心评分,以提高数据可靠性.
结论:
- scDrugAtlas 作为生物信息学和癌症研究社区的重要资源.
- 能够开发先进的计算模型来预测药物反应.
- 支持生物学家识别耐药瘤细胞及其潜在的分子机制.
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