根据单细胞数据推断结合自反基因表达回路的突发动态
Jiaqi Wang1,2, Yihao Yin1,2, Wenjie Cao3
1Wuhan Textile University, School of Mathematics and Statistics, Wuhan, Hubei 430200, China.
Physical review. E
|November 18, 2025
概括
这项研究引入了一个单细胞随机爆发模型来分析基因表达反. 积极的反恢复双模基因表达,有助于理解细胞分化和命运决定.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 基因表达调节是复杂的,自我反发挥着至关重要的作用.
- 在单细胞测序数据中,自我反爆发动力学仍未得到充分探索.
研究的目的:
- 开发和分析单细胞随机爆发模型,用于合的正反和负反基因表达回路.
- 研究反调控对基因表达动态和模式的影响.
主要方法:
- 提出了一种单细胞随机爆发模型,包含合的正负反循环.
- 使用小鼠纤维细胞单细胞RNA测序 (scRNA-seq) 数据分析动态行为.
- 推断了全基因组爆发动态参数,并确定了自我反调节模式.
主要成果:
- 积极的反恢复了双模基因表达分布,与导致单模分布的负面或无反不同.
- 分析了反对爆发大小,频率和噪声的影响.
- 发现突发频率和大小与基因平均值的增加趋势,而噪音减少;负反的平均突发频率更高,而正反的平均突发大小和噪音更高.
结论:
- 自我反调节显著影响基因表达模式,包括分布形状.
- 反类型对爆发动态 (大小,频率,噪音) 有不同的影响.
- 这些发现提高了对基因表达,细胞分化和命运决定的理解.
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