SexAnnoDB,来自人类癌症多omics数据的性别特异性法规的知识库
Mengyuan Yang1, Yuzhou Feng2,3, Jiajia Liu4
1School of Life Sciences, Zhengzhou University, Zhengzhou, 450001, China. mengyuanyang@zzu.edu.cn.
Biology of sex differences
|August 22, 2024
概括
这项研究揭示了驱动癌症差异的性别偏见分子和调节网络. 了解癌症中的这些性别差异是开发个性化治疗和改善患者治疗结果的关键.
科学领域:
- 在瘤学瘤学.
- 基因组学就是基因组学.
- 分子生物学分子生物学
背景情况:
- 性二态性显著影响癌症生物学,影响患者对治疗的反应.
- 现有的数据库缺乏对癌症中性别偏差分子的详细机械洞察力.
- 了解癌症中的性别差异对于个性化医学至关重要.
研究的目的:
- 综合检查27种癌症类型的分子区别和调控网络,重点关注性别偏差的影响.
- 为了识别性别偏见的癌症治疗药物向基因.
- 为探索癌症中的性别差异提供一个资源 (SexAnnoDB).
主要方法:
- 对竞争性内源性RNA网络的性别偏差分析.
- 对性别偏差的RNA结合蛋白-外因子跳转事件的研究.
- 检查性别偏差的转录因子-基因调节网络,表达量化特征位点/甲基化,并拼接量化特征位点.
- 识别性别偏见的癌症治疗药物点.
主要成果:
- 确定了126个癌症治疗点与性别相关的基因.
- 在mRNA和蛋白质水平上,有9个基因表现出性别偏见.
- 包括FDA批准的结直肠癌的在内的五种药物的标S100A9,通过转录因子 (男性) 和促进物甲基化 (女性) 显示出性别特异性调节.
结论:
- 癌症转录组中的性别差异部分是由性别偏见的表观遗传和遗传因素驱动的.
- SexAnnoDB 作为研究人员和临床医生的专业平台.
- 这些发现支持基于性别特异性分子谱的个性化治疗策略的开发.
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