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Updated: May 23, 2025

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Induction and Analysis of Epithelial to Mesenchymal Transition
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表皮质-介质细胞过渡对与细胞循环停滞在各个阶段
Sophia Hu1,2, Yong Lu1, Gaohan Yu3
1Department of Computational and Systems Biology, University of Pittsburgh, USA.
bioRxiv : the preprint server for biology
|March 10, 2025
概括
从单细胞数据推断细胞状态转换需要仔细考虑缩小维度. 我们的研究揭示了多个表皮细胞到介质细胞过渡 (EMT) 路径,通过避免野蛮力量方法和整合动力学.
科学领域:
- 计算生物学 计算生物学
- 单细胞基因组学 单细胞基因组学
- 系统生物学 系统生物学
背景情况:
- 从单细胞数据推断细胞状态转变轨迹对于理解动态生物过程至关重要.
- 当前的计算方法通常涉及维度减小,这可能会扭曲系统动态.
- 皮质到介质酶过渡 (EMT) 作为一个模型系统来研究这些轨迹推断挑战.
研究的目的:
- 评估尺寸缩小技术对推断细胞状态过渡轨迹的影响.
- 确定TGF-β诱导的EMT的独特路径,并了解它们与细胞循环调节的关系.
- 强调在单细胞数据分析中保存动态信息的重要性.
主要方法:
- 使用生物学指导的低维表示与粗暴力维度缩小方法进行轨迹推断的比较.
- 在高维状态空间中执行的随机轨迹模拟.
- 用转化生长因子-β (TGF-β) 作为刺激物对表皮细胞转化为介质酶转化 (EMT) 的分析.
主要成果:
- 强力缩小尺寸方法掩盖了TGF-β诱导的EMT的明显路径.
- 生物指导的表示和高维模拟揭示了多个EMT轨迹.
- 这些不同的路径与EMT和细胞循环停止在G1/S,G2/M或M检查点之间的合有关,解释了EMT的异质性.
结论:
- 在从低维 (2D或3D) 单细胞数据表示中推断过渡动态时,建议谨慎.
- 保存高维信息和结合动态建模可以提高轨迹推断的准确性.
- 了解EMT和细胞循环停止之间的相互作用是解决细胞状态异质性的关键.
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