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基于事件模型揭示的转录爆发调控机制

Regulatory Mechanisms for Transcriptional Bursting Revealed by an Event-Based Model.

作者信息

Wu Renjie, Zhou Bangyan, Wang Wei, Liu Feng

机构信息

National Laboratory of Solid State Microstructures, Department of Physics, and Collaborative Innovation Center of Advanced Microstructures, Nanjing University, Nanjing 210093, P. R. China.

Institute for Brain Sciences, Nanjing University, Nanjing 210093, P. R. China.

出版信息

Research (Wash D C). 2023 Oct 24;6:0253. doi: 10.34133/research.0253. eCollection 2023.

Abstract

Gene transcription often occurs in discrete bursts, and it can be difficult to deduce the underlying regulatory mechanisms for transcriptional bursting with limited experimental data. Here, we categorize numerous states of single eukaryotic genes and identify 6 essential transcriptional events, each comprising a series of state transitions; transcriptional bursting is characterized as a sequence of 4 events, capable of being organized in various configurations, in addition to the beginning and ending events. By associating transcriptional kinetics with mean durations and recurrence probabilities of the events, we unravel how transcriptional bursting is modulated by various regulators including transcription factors. Through analytical derivation and numerical simulation, this study reveals key state transitions contributing to transcriptional sensitivity and specificity, typical characteristics of burst profiles, global constraints on intrinsic transcriptional noise, major regulatory modes in individual genes and across the genome, and requirements for fast gene induction upon stimulation. It is illustrated how biochemical reactions on different time scales are modulated to separately shape the durations and ordering of the events. Our results suggest that transcriptional patterns are essentially controlled by a shared set of transcriptional events occurring under specific promoter architectures and regulatory modes, the number of which is actually limited.

摘要

基因转录通常以离散的脉冲形式发生,而利用有限的实验数据很难推断出转录脉冲背后的调控机制。在这里,我们对单个真核基因的多种状态进行分类,并确定了6个基本的转录事件,每个事件都包含一系列状态转变;转录脉冲的特征是由4个事件组成的序列,除了起始和结束事件外,这些事件还能够以各种配置进行组织。通过将转录动力学与事件的平均持续时间和复发概率相关联,我们揭示了转录脉冲是如何被包括转录因子在内的各种调节因子调控的。通过分析推导和数值模拟,本研究揭示了有助于转录敏感性和特异性的关键状态转变、脉冲图谱的典型特征、对内在转录噪声的全局限制、单个基因和全基因组的主要调控模式,以及刺激后快速基因诱导的要求。阐明了不同时间尺度上的生化反应是如何被调节以分别塑造事件的持续时间和顺序的。我们的结果表明,转录模式基本上是由在特定启动子结构和调控模式下发生的一组共同的转录事件控制的,而这些事件的数量实际上是有限的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ba6/11407585/48a2af25db1f/research.0253.fig.001.jpg

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