Department of Biomedical Engineering, Yale University, New Haven, Connecticut, United States of America.
Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.
PLoS Comput Biol. 2022 Sep 9;18(9):e1010152. doi: 10.1371/journal.pcbi.1010152. eCollection 2022 Sep.
Activation of gene expression in response to environmental cues results in substantial phenotypic heterogeneity between cells that can impact a wide range of outcomes including differentiation, viral activation, and drug resistance. An important source of gene expression noise is transcriptional bursting, or the process by which transcripts are produced during infrequent bursts of promoter activity. Chromatin accessibility impacts transcriptional bursting by regulating the assembly of transcription factor and polymerase complexes on promoters, suggesting that the effect of an activating signal on transcriptional noise will depend on the initial chromatin state at the promoter. To explore this possibility, we simulated transcriptional activation using a transcriptional cycling model with three promoter states that represent chromatin remodeling, polymerase binding and pause release. We initiated this model over a large parameter range representing target genes with different chromatin environments, and found that, upon increasing the polymerase pause release rate to activate transcription, changes in gene expression noise varied significantly across initial promoter states. This model captured phenotypic differences in activation of latent HIV viruses integrated at different chromatin locations and mediated by the transcription factor NF-κB. Activating transcription in the model via increasing one or more of the transcript production rates, as occurs following NF-κB activation, reproduced experimentally measured transcript distributions for four different latent HIV viruses, as well as the bimodal pattern of HIV protein expression that leads to a subset of reactivated virus. Importantly, the parameter 'activation path' differentially affected gene expression noise, and ultimately viral activation, in line with experimental observations. This work demonstrates how upstream signaling pathways can be connected to biological processes that underlie transcriptional bursting, resulting in target gene-specific noise profiles following stimulation of a single upstream pathway.
细胞对环境信号的基因表达激活会导致细胞间出现显著的表型异质性,从而影响包括分化、病毒激活和耐药性在内的广泛结果。基因表达噪声的一个重要来源是转录爆发,即在启动子活性的偶发爆发期间产生转录本的过程。染色质可及性通过调节转录因子和聚合酶复合物在启动子上的组装来影响转录爆发,这表明激活信号对转录噪声的影响将取决于启动子上的初始染色质状态。为了探索这种可能性,我们使用具有三种启动子状态的转录循环模型模拟了转录激活,这三种状态代表染色质重塑、聚合酶结合和暂停释放。我们在代表具有不同染色质环境的靶基因的大参数范围内启动了这个模型,发现当我们增加聚合酶暂停释放速率以激活转录时,在初始启动子状态上基因表达噪声的变化差异显著。这个模型捕捉到了不同染色质位置整合的潜伏 HIV 病毒的激活的表型差异,这些病毒是由转录因子 NF-κB 介导的。通过增加一个或多个转录本产生速率(如 NF-κB 激活后发生的情况)来在模型中激活转录,复制了四种不同潜伏 HIV 病毒的实验测量的转录本分布,以及导致一部分重新激活病毒的 HIV 蛋白表达的双峰模式。重要的是,参数“激活路径”以与实验观察一致的方式,对基因表达噪声,最终对病毒激活产生不同的影响。这项工作展示了上游信号通路如何与转录爆发背后的生物学过程相连接,从而导致在刺激单个上游通路后,出现特定于靶基因的噪声谱。