Sensitive monitoring of enhancer and noncoding RNA transcription via ribozyme-assisted RNA editing
Year: 2026
Type: article
Abstract: Understanding transcriptional regulation of native genomic elements requires tools that combine high sensitivity, quantitative output, and broad applicability. Existing methods often have limited dynamic range, disrupt host RNAs, or fail to detect short-lived transcripts. Here, we present ribozyme-processed ADAR-engaging RNA-directed editing (REDDIT), a technology that converts transcriptional events into reporter protein translation via precise A-to-I RNA editing. REDDIT sensitively detects transcription from protein-coding genes, long noncoding RNAs (lncRNAs), primary microRNAs (pri-miRNAs), and enhancer RNAs (eRNAs), including low abundance and short-lived species, while minimally perturbing host gene expression, RNA processing, and the global editome. We apply REDDIT to monitor the naïve-to-primed transition in human embryonic stem cells (hESCs) and convert it into a transcription recorder that permanently logs transient and combinatorial transcriptional inputs when paired with Cre recombinase. Finally, by adapting REDDIT for high-throughput screening, we uncover multiple signaling pathways that regulate lncRNA and eRNA biogenesis. REDDIT therefore provides a scalable platform for quantitative monitoring and retrospective analysis of endogenous transcriptional dynamics across diverse genomic contexts. Enhancer RNAs and other noncoding RNAs are difficult to monitor in living cells. Here, the authors develop REDDIT, a sensitive reporter for tracking transcription of coding and noncoding RNAs, and use it to identify pathways regulating a lncRNA and an enhancer RNA in stem cells.
Source: Nature Communications
Authors: Jing Wang, Jia-Zhen Wang, Lu-Feng Hu, Yu-Ting Zhao, Gang Xie, Yi-Xia Wu, Boyan Zhao, Zi-Yin Yang, Huiqing Cao, Yangming Wang
Institution: Peking University
Language: English
Topic: RNA regulation and disease
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G4709327056, G5381264704, G7812637525
OpenAlex ID: W7154746126
