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解码细胞命运:在单细胞水平上进行综合实验和计算分析.

Yutong Zhou1, Shuyang Hou1, Xinhao Miao1

  • 1Integrated Science Program, Yuanpei College, Peking University, Beijing, 100871, China.

Bioinformatics (Oxford, England)
|November 8, 2025
PubMed
概括
此摘要是机器生成的。

单细胞技术揭示了复杂的细胞命运决定. 这篇评论强调了对预测和操纵细胞命运的实验和人工智能进展,这对发育生物学和再生医学至关重要.

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科学领域:

  • 发展生物学 发展生物学
  • 再生医学是一种再生医学.
  • 计算生物学 计算生物学

背景情况:

  • 细胞命运的确定是发育生物学和再生医学的关键.
  • 传统的方法掩盖了细胞异质性,缺乏系统的细胞命运控制观点.
  • 单细胞技术提供了高分辨率,揭示了细胞命运决定的复杂性.

研究的目的:

  • 审查细胞命运决定中的实验和计算进步.
  • 评估人工智能和基础模型在细胞命运研究中的作用.
  • 突出在预测和操纵细胞命运方面的挑战和未来方向.

主要方法:

  • 审查单细胞多组学,血统追踪和扰动技术.
  • 讨论细胞命运研究的建模范式.
  • 评估用于扰乱建模和基础模型的AI工具.

主要成果:

  • 实验进步使细胞命运过渡的动态跟踪成为可能.
  • 人工智能工具在扰乱建模方面显示出潜力.
  • 案例研究证明了细胞命运的预测和操纵.

结论:

  • 复杂的细胞命运决定需要复杂的计算方法.
  • 新兴的人工智能和基础模型为研究提供了新的途径.
  • 需要进一步的研究来应对该领域的关键挑战.