Evidence map›Paper›PMID 41997976›Full record

ArticleNature communications2026

Sensitive monitoring of enhancer and noncoding RNA transcription via ribozyme-assisted RNA editing.

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

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jing Wang *State Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Jia-Zhen Wang *State Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Lu-Feng Hu *State Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Yu-Ting ZhaoAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID 0000-0001-7104-1879
Gang XieAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.ORCID 0000-0001-5672-732X
Yi-Xia WuState Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Boyan ZhaoSchool of Life Sciences, Peking University, Beijing, China.
Zi-Yin YangAcademy for Advanced Interdisciplinary Studies, Peking University, Beijing, China.
Huiqing CaoState Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China.
Yangming WangState Key Laboratory of Gene Function and Modulation Research, Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing, China. yangming.wang@pku.edu.cn.ORCID 0000-0001-6974-6060

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2021YFA1100200National Natural Science Foundation of China (National Science Foundation of China) 32025007National Natural Science Foundation of China (National Science Foundation of China) 32130017
6 · The paper itself

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.

Indexed as

RNA, CatalyticRNA EditingRNA, UntranslatedTranscription, GeneticEnhancer Elements, GeneticEnhancer RNAsGene Expression RegulationHuman Embryonic Stem CellsHumansMicroRNAsRNA, Long NoncodingEnhancer RNAsMicroRNAsRNA, CatalyticRNA, Long NoncodingRNA, Untranslated

Identifiers

PMID41997976
PMCPMC13272673

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.