使用因子索引单核多原子测序方法识别定义的重编程因子表达的协议
Liangru Fei1, Kaiyang Zhang2, Sampsa Hautaniemi2
1Centre for Molecular Medicine Norway, Faculty of Medicine, University of Oslo, Gaustadelléen 21, 0349 Oslo, Norway.
STAR protocols
|June 23, 2024
概括
这项研究引入了一种新的因子索引方法,用于单核多原子测序,以便在直接细胞重编程过程中精确追踪细胞. 这种方法解决了理解细胞命运变化和评估重编程模型的挑战.
科学领域:
- 细胞生物学 细胞生物学
- 遗传学 遗传学是一种遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 生殖室外表达的谱系特异性转录因子 (TFs) 可以重编程细胞命运.
- 重编程中的细胞异质性给数据分析和模型验证带来了挑战.
研究的目的:
- 提出一种用于表征直接细胞重编程的细胞的协议.
- 通过一种新的方法,在重编程过程中能够精确追踪表达定义因子的细胞.
主要方法:
- 开发一个因子索引方法 (FI-snMultiome-seq) 用于单核多原子测序.
- 协议涉及条形码转录因子 (TF).
- 使用定义的TFs将人类纤维细胞转化为胰腺管状细胞的方法的应用.
主要成果:
- 展示了一种表达特定重编程因子的细胞特征的方法.
- 人体纤维细胞成功转化为胰腺管状细胞.
- 能够在重编程过程中详细分析细胞命运过渡.
结论:
- FI-snMultiome-seq协议提供了一种强大的方法来克服细胞重编程研究中的异质性挑战.
- 这种技术有助于准确的数据解释和模型评估细胞命运转换.
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