Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, 91125, USA.
Bull Math Biol. 2023 Oct 12;85(11):114. doi: 10.1007/s11538-023-01213-9.
The serial nature of reactions involved in the RNA life-cycle motivates the incorporation of delays in models of transcriptional dynamics. The models couple a transcriptional process to a fairly general set of delayed monomolecular reactions with no feedback. We provide numerical strategies for calculating the RNA copy number distributions induced by these models, and solve several systems with splicing, degradation, and catalysis. An analysis of single-cell and single-nucleus RNA sequencing data using these models reveals that the kinetics of nuclear export do not appear to require invocation of a non-Markovian waiting time.
RNA 生命周期中所涉及的反应的连续性促使在转录动力学模型中引入延迟。这些模型将转录过程与一组相当通用的无反馈的延迟单分子反应耦合起来。我们提供了用于计算这些模型引起的 RNA 拷贝数分布的数值策略，并解决了带有剪接、降解和催化的几个系统。使用这些模型对单细胞和单细胞核 RNA 测序数据进行的分析表明，核输出的动力学似乎不需要调用非马尔可夫等待时间。
