最佳运输通过基因速度估计揭示了动态的基因调节网络
Wenjun Zhao1, Erica Larschan2, Björn Sandstede3
1Division of Applied Mathematics, Brown University, Providence, RI 02912, USA.
bioRxiv : the preprint server for biology
|September 30, 2024
概括
通过从单细胞数据中通过最佳传输估计的基因速度,OTVelo推断出基因调节网络. 这种方法揭示了跨时间点的动态基因调节机制,克服了测序深度的限制.
科学领域:
- 计算生物学 计算生物学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 从基因表达数据中推断基因调节网络 (GRNs) 对于理解细胞机制至关重要.
- 由于数据的复杂性和捕获动态信息的局限性,准确的GRN推断具有挑战性.
- 基因速度,即基因表达变化的速度,提供了重要的见解,但通常无法在标准数据集中获得.
研究的目的:
- 开发一种新的方法,OTVelo,通过使用时间标记的单细胞基因表达数据推断基因调控网络.
- 为了克服由测序深度限制引起的不可用基因速度信息的限制.
- 揭示基因调节在不同时间点的动态机制.
主要方法:
- OTVelos使用最佳运输来估计基因速度,从时间标记的单细胞RNA测序数据.
- 用时间滞后相关性和格兰杰因果关系分析推断基因调节.
- 规则化的线性回归被用来对调节关系进行可靠的推断.
主要成果:
- 即使测序深度有限,OTVelos也成功地估计了基因速度.
- 该方法通过捕获跨时间点的动态信息,有效地推断基因调节关系.
- 在13个模拟和4个实验数据集上的验证证明了OTVelos在发现GRN方面的有效性.
结论:
- OTVelos提供了一种强大的方法,可以从时间序列单细胞数据中推断基因调节网络.
- 该方法通过利用估计的基因速度来增强GRN推断,揭示动态调节机制.
- OTVelos为系统生物学研究提供了有价值的工具,特别是在处理数据限制时.
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