Mukherjee Rudradeep, Guertin Michael J
Center for Cell Analysis and Modeling, University of Connecticut Health Center, Farmington, CT, United States of America.
Department of Genetics and Genome Sciences, University of Connecticut Health Center, Farmington, CT, United States of America.
bioRxiv. 2025 Mar 28:2025.03.27.645809. doi: 10.1101/2025.03.27.645809.
We present a simple model for analyzing and interpreting data from kinetic experiments that measure engaged RNA polymerase occupancy. The framework represents the densities of nascent transcripts within the pause region and the gene body as steady-state values determined by four key transcriptional processes: initiation, pause release, premature termination, and elongation. We validate the model's predictions using data from experiments that rapidly inhibit initiation and pause release. The model successfully classified factors based on the steps in early transcription that they regulate, confirming TBP and ZNF143 as initiation factors and HSF and GR as pause release factors. We found that most paused polymerases terminate and paused polymerases are short-lived with half lives less than a minute. We make this model available as software to serve as a quantitative tool for determining the kinetic mechanisms of transcriptional regulation.
我们提出了一个简单的模型,用于分析和解释来自测量参与的RNA聚合酶占有率的动力学实验的数据。该框架将暂停区域和基因体内新生转录本的密度表示为由四个关键转录过程(起始、暂停释放、过早终止和延伸)确定的稳态值。我们使用快速抑制起始和暂停释放的实验数据验证了该模型的预测。该模型成功地根据它们所调节的早期转录步骤对因子进行了分类,确认TBP和ZNF143为起始因子,HSF和GR为暂停释放因子。我们发现大多数暂停的聚合酶会终止,并且暂停的聚合酶寿命较短,半衰期不到一分钟。我们将此模型作为软件提供,作为确定转录调控动力学机制的定量工具。