Metabolic RNA Labeling: Adding a Temporal Dimension to Transcriptomics and Epitranscriptomics Analysis

IF 14.7 Q1 CHEMISTRY, ANALYTICAL

ACS Measurement Science Au Pub Date : 2026-10-21 Epub Date: 2026-08-10 DOI:10.1021/acsmeasuresciau.6c00200

Di Wang, Zhenzhen Zhang, Shichao Lin, Chaoyong Yang

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引用次数: 0

Abstract

Transcriptomics and epitranscriptomics analyses have provided unprecedented insights into the transcriptome-wide RNA abundance and the post-transcriptional modifications of RNA across diverse biological processes. However, conventional transcriptomics and epitranscriptomics analyses only capture static snapshots and lack temporal resolution. To address this limitation, recent advances have integrated metabolic RNA labeling with transcriptomics and epitranscriptomics analyses, enabling time-resolved analysis of the transcription and RNA modification dynamics. This Perspective aims to highlight the recent developments and the ongoing trends in metabolic RNA labeling-based chemical tools that enable time-resolved transcriptomics and epitranscriptomics analysis. Our perspectives on current limitations and future directions are also provided, with the aim of inspiring more advanced chemical tools for accurate measurement and a deeper understanding of transcription and RNA modification dynamics in health and disease.

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代谢RNA标记：增加转录组学和表转录组学分析的时间维度

转录组学和表转录组学分析为转录组范围内的RNA丰度和RNA在不同生物过程中的转录后修饰提供了前所未有的见解。然而，传统的转录组学和表转录组学分析只能捕获静态快照，缺乏时间分辨率。为了解决这一限制，最近的进展将代谢RNA标记与转录组学和表转录组学分析相结合，使转录和RNA修饰动力学的时间解析分析成为可能。本展望旨在强调基于代谢RNA标记的化学工具的最新发展和持续趋势，这些化学工具使时间分辨转录组学和表转录组学分析成为可能。我们对当前的局限性和未来的发展方向也提出了自己的看法，目的是激发更先进的化学工具来精确测量和更深入地了解转录和rna修饰动力学在健康和疾病。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Measurement Science Au 化学计量学-

CiteScore

5.20

自引率

0.00%

发文量

期刊介绍： ACS Measurement Science Au is an open access journal that publishes experimental computational or theoretical research in all areas of chemical measurement science. Short letters comprehensive articles reviews and perspectives are welcome on topics that report on any phase of analytical operations including sampling measurement and data analysis. This includes:Chemical Reactions and SelectivityChemometrics and Data ProcessingElectrochemistryElemental and Molecular CharacterizationImagingInstrumentationMass SpectrometryMicroscale and Nanoscale systemsOmics (Genomics Proteomics Metabonomics Metabolomics and Bioinformatics)Sensors and Sensing (Biosensors Chemical Sensors Gas Sensors Intracellular Sensors Single-Molecule Sensors Cell Chips Arrays Microfluidic Devices)SeparationsSpectroscopySurface analysisPapers dealing with established methods need to offer a significantly improved original application of the method.