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通过单细胞多基因组和空间转录基因组在p53无活化下剖析跨系瘤发生
Xinru Wang1, Yuqing Mei1, Xueyi Wang1
1Bone Marrow Transplantation Center of the First Affiliated Hospital and Center for Stem Cell and Regenerative Medicine, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Clinical and translational medicine
|September 1, 2025
概括
瘤抑制剂TP53 (p53) 的丧失会破坏细胞平衡,导致癌症发生在不同类型的细胞中. 这项研究揭示了早期的分子事件和p53缺乏细胞的特定变化,为癌症倾向提供了洞察力.
科学领域:
- 癌症生物学
- 基因组学
- 细胞平衡
背景情况:
- TP53 (p53) 是一个关键的瘤抑制基因.
- 基因TP53突变导致Li-Fraumeni综合征, 这是一种遗传性癌症倾向.
- 目前尚不完全了解p53的精确瘤抑制机制.
研究的目的:
- 研究p53失活如何破坏细胞平衡并促进瘤发生.
- 在不同细胞类型中探索这些干扰.
- 阐明p53的情境依赖性瘤抑制机制.
主要方法:
- 使用Trp53 (鼠标p53) 淘汰模型.
- 综合多基因组分析:单细胞转录组,ATAC-seq,空间转录组,全基因组测序,CUT&Tag.
- 使用深度学习进行p53调节网络重建和扰模拟.
主要成果:
- 从正常到p53缺陷和瘤性状态的细胞动态转变.
- 确定了具有共同和特定特征的关键途径 (细胞周期,应激反应,新陈代谢,免疫调节).
- 发现易发生瘤的细胞具有高分化可塑性和早期的核糖体蛋白基因上调.
- 在p53损失驱动的胸膜T细胞群中发现了染色质破坏.
- 在单细胞分辨率下解码了p53调节网络和模拟的失活效应.
结论:
- 阐明了p53无活化的多层次后果.
- 提供了与TP53突变相关的瘤倾向的见解.
- 创造了开发临床拦截策略的宝贵资源.
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