SexTumorDB:一个全面的资源的性别依赖性瘤景观在单细胞分辨率
Ruya Sun1, Qiqi Deng2, Di Wang3,4,5
1Department of Orthopaedic Surgery of Sir Run Run Shaw Hospital, and Institute of Immunology, Zhejiang University School of Medicine, Hangzhou, 310058, China. sunruya@zju.edu.cn.
Scientific data
|February 25, 2026
概括
性差异显著影响癌症,但往往被忽视. 新的SexTumorDB数据库为13种癌症类型提供单细胞RNA测序数据,以探索瘤中这些关键的性别差异.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 性别是影响癌症发病率,死亡率和治疗反应的基本生物变量.
- 瘤中的性别偏见,特别是非生殖性癌症和非恶性成分,研究不足.
- 了解癌症的性二态是推进精确瘤学的关键.
研究的目的:
- 为了解决对癌症性别差异的有限理解.
- 开发一个综合数据库 (SexTumorDB),以单细胞分辨率为非繁殖性瘤的RNA测序配置文件.
- 促进研究瘤微环境 (TME) 中的性别差异.
主要方法:
- 从13种癌症类型的532个瘤样本 (319个男性,213个女性) 中编译和策划的RNA测序数据.
- 包括2,014,043个单细胞,重点关注性别特异性发病率的癌症.
- 标准化数据处理,用于对性二态的强有力的分析.
主要成果:
- 开发了SexTumorDB,这是一个全面的资源,用于单细胞RNA测序数据在性别偏差的癌症.
- 该数据库包含各种癌症类型的男性和女性瘤细胞的大量数据.
- 为研究癌症中的性别特异性分子机制提供了基础.
结论:
- SexTumorDB促进了对瘤微环境中的性别差异的理解.
- 本资源旨在促进性别特异性抗癌疗法的开发.
- 强调在癌症研究和治疗中将性别视为生物变量的重要性.
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