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Updated: Sep 15, 2025

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纵向单细胞RNA测序揭示了慢性髓性白血病中微观和宏观状态的演变

David E Frankhouser, Dandan Zhao, Yu-Hsuan Fu

bioRxiv : the preprint server for biology

|July 15, 2025

概括

单细胞RNA测序 (scRNA-seq) 揭示了癌症状态在聚合的宏观状态层面出现,而不是单细胞层面. 这说明了大批转录学如何捕捉隐藏在杂单细胞数据中的疾病动态.

科学领域:

癌症生物学癌症生物学
基因组学就是基因组学.
计算生物学计算生物学

背景情况:

单细胞RNA测序 (scRNA-seq) 提供了对细胞异质性的高分辨率见解.
从杂的单细胞数据中识别离散的疾病状态仍然是癌症研究中的一个重大挑战.

研究的目的:

系统地探索单细胞中的癌症特异性信息内容与批量转录组学.
解决从单细胞数据中识别疾病状态的悖论.
为了澄清如何从单细胞数据中出现离散的疾病定义状态.

主要方法:

利用慢性髓性白血病 (CML) 的进展作为一个模型系统.
应用状态过渡理论来分析转录数据.
单细胞和伪细胞 (宏观体) 转录组数据之间的信息内容比较.

主要成果:

单细胞转录组表现出连续的转录微状态.
临床上相关的白血病表型在伪大脑 (宏观) 层面明显表现出来.
细胞类型特定的贡献决定了强大的疾病表型状态转换.

结论:

建立了一个理论框架,解释疾病表型在宏观水平的出现.
证明了离散的疾病表型在单细胞尺度上是隐蔽的.
通过将微观变异与癌症的宏观疾病动态联系起来,进行先进的单细胞分析.

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