Ginley-Hidinger Matthew, Abewe Hosiana, Osborne Kyle, Richey Alexandra, Kitchen Noel, Mortenson Katelyn L, Wissink Erin M, Lis John, Zhang Xiaoyang, Gertz Jason
Huntsman Cancer Institute, University of Utah, Salt Lake City, UT 84112, USA.
Department of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.
bioRxiv. 2024 Feb 14:2023.03.14.532457. doi: 10.1101/2023.03.14.532457.
Cis-regulatory elements control transcription levels, temporal dynamics, and cell-cell variation or transcriptional noise. However, the combination of regulatory features that control these different attributes is not fully understood. Here, we used single cell RNA-seq during an estrogen treatment time course and machine learning to identify predictors of expression timing and noise. We find that genes with multiple active enhancers exhibit faster temporal responses. We verified this finding by showing that manipulation of enhancer activity changes the temporal response of estrogen target genes. Analysis of transcriptional noise uncovered a relationship between promoter and enhancer activity, with active promoters associated with low noise and active enhancers linked to high noise. Finally, we observed that co-expression across single cells is an emergent property associated with chromatin looping, timing, and noise. Overall, our results indicate a fundamental tradeoff between a gene's ability to quickly respond to incoming signals and maintain low variation across cells.
顺式调控元件控制转录水平、时间动态以及细胞间差异或转录噪声。然而,控制这些不同属性的调控特征组合尚未完全明确。在此,我们在雌激素处理时间进程中使用单细胞RNA测序和机器学习来识别表达时间和噪声的预测因子。我们发现具有多个活性增强子的基因表现出更快的时间响应。我们通过证明增强子活性的操纵会改变雌激素靶基因的时间响应来验证这一发现。对转录噪声的分析揭示了启动子和增强子活性之间的关系,活性启动子与低噪声相关,而活性增强子与高噪声相关。最后,我们观察到单细胞间的共表达是一种与染色质环化、时间和噪声相关的涌现特性。总体而言,我们的结果表明基因快速响应传入信号的能力与维持细胞间低变异性之间存在基本权衡。