使用SDEvelo进行细胞特异潜伏时间的转录动态的多变量随机建模
Xu Liao1,2, Lican Kang3,4, Yihao Peng1
1School of Data Science, The Chinese University of Hong Kong-Shenzhen, Shenzhen, China.
Nature communications
|December 31, 2024
概括
SDEvelo使用随机微分方程 (SDE) 推断RNA速度,以捕捉细胞转录动态. 这种方法准确地模拟细胞状态转变并检测致癌性,改进了普通微分方程方法.
科学领域:
- 计算生物学 计算生物学
- 基因组学就是基因组学.
- 一个单细胞分析.
背景情况:
- 单细胞RNA测序 (scRNA-seq) 中的RNA速度分析可以预测细胞分化轨迹.
- 现有的动态建模方法经常使用单个基因的普通微分方程 (ODE),忽视多变量和随机转录动态.
研究的目的:
- 介绍SDEvelo,一种新的生成方法,用于使用多变量随机微分方程 (SDE) 推断RNA速度.
- 通过明确考虑转录性随机性和估计细胞特异性潜伏时间来解决基于ODE的模型的局限性.
主要方法:
- 开发了SDEvelo,一种使用多变量随机微分方程 (SDE) 分析未拼接和拼接RNA动态的生成模型.
- 综合估计基因共享的细胞特异潜伏时间,以捕捉转录进展.
- 在模拟数据和各种scRNA-seq和空间转录组学数据集上验证了SDEvelo.
主要成果:
- SDEvelo准确地模拟了随机转录动态,包括成熟细胞中的随机模式.
- 该方法成功检测了致癌性,证明了其在识别疾病状态方面的实用性.
- 推断的基因共享潜伏时间有助于下游的生物发现和分析.
结论:
- SDEvelo为RNA速度推断提供了强大的和可扩展的方法,优于传统的ODE方法.
- 该模型处理转录不确定性的能力及其适用于scRNA-seq和空间转录组学的适用性提高了其在生物研究中的实用性.
更多相关视频
10:44Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
Published on: December 7, 2021
2.1K
03:37Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
Published on: March 1, 2024
637
相关概念视频
General Transcription Factors
5.2K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
5.2K
Transcription Factors
75.6K
Tissue-specific transcription factors contribute to diverse cellular functions in mammals. For example, the gene for beta globin, a major component of hemoglobin, is present in all cells of the body. However, it is only expressed in red blood cells because the transcription factors that can bind to the promoter sequences of the beta globin gene are only expressed in these cells. Tissue-specific transcription factors also ensure that mutations in these factors may impair only the function of...
75.6K
Combinatorial Gene Control
8.3K
Combinatorial gene control is the synergistic action of several transcriptional factors to regulate the expression of a single gene. The absence of one or more of these factors may lead to a significant difference in the level of gene expression or repression.
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
The expression of more than 30,000 genes is controlled by approximately 2000-3000 transcription factors. This is possible because a single transcription factor can recognize more than one regulatory sequence. The specificity in gene...
8.3K
Cell Specific Gene Expression
4.6K
4.6K
Master Transcription Regulators
6.9K
Master transcription regulators are regulatory proteins that are predominantly responsible for regulating the expression of multiple genes. Often these genes work in concert to drive a complex process. Activation of a master transcription regulator can lead to a cascade of transcriptional activation necessary for that outcome. These regulators can directly bind to the regulatory sequences of the various genes involved, or they can indirectly regulate transcription by binding to regulatory...
6.9K
RNA Polymerase II Accessory Proteins
9.1K
Proteins that regulate transcription can do so either via direct contact with RNA Polymerase or through indirect interactions facilitated by adaptors, mediators, histone-modifying proteins, and nucleosome remodelers. Direct interactions to activate transcription is seen in bacteria as well as in some eukaryotic genes. In these cases, upstream activation sequences are adjacent to the promoters, and the activator proteins interact directly with the transcriptional machinery. For example, in...
9.1K
