Wang Jing, Chen Hua-Chang, Hiebert Scott W, Sheng Quanhu, Tansey William P, Shyr Yu, Liu Qi
Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37203, USA.
Center for Quantitative Sciences, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
Gigascience. 2025 Jan 6;14. doi: 10.1093/gigascience/giaf071.
Nascent RNA sequencing tracks primary transcriptional events, making it crucial for studying the immediate regulatory changes of genes and enhancers in response to both endogenous and exogenous stimuli. NRSA is a widely used tool for analyzing nascent transcriptomic data, enabling quantification of transcriptional changes at proximal promoters and gene bodies, estimation of pausing indices, identifying active enhancers, and establishing enhancer-target gene relationships. To improve its functionality and broaden its applicability to diverse organisms and complex study designs, we have developed an enhanced version, eNRSA. Key advancements include adaptive selection of major transcripts, support for any organism with known gene structures, compatibility with complex study designs, and identification of alternative transcription start and termination sites, as well as transcription readthrough events. Additionally, eNRSA achieves a ∼20-fold increase in analysis speed while significantly reducing memory usage. These enhancements make eNRSA a faster, more versatile, and more powerful tool for nascent transcriptome analysis. eNRSA is freely available at https://bioinfo.vanderbilt.edu/eNRSA/.
新生RNA测序追踪初级转录事件,对于研究基因和增强子对内源和外源刺激的即时调控变化至关重要。NRSA是一种广泛用于分析新生转录组数据的工具,能够对近端启动子和基因体处的转录变化进行定量,估计暂停指数,识别活性增强子,并建立增强子-靶基因关系。为了提高其功能并扩大其对不同生物体和复杂研究设计的适用性,我们开发了一个增强版本eNRSA。主要进展包括主要转录本的自适应选择、对任何具有已知基因结构的生物体的支持、与复杂研究设计的兼容性,以及识别替代转录起始和终止位点以及转录通读事件。此外,eNRSA在显著减少内存使用的同时,分析速度提高了约20倍。这些改进使eNRSA成为用于新生转录组分析的更快、更通用、更强大的工具。可在https://bioinfo.vanderbilt.edu/eNRSA/免费获取eNRSA。