Evidence map›Paper›PMID 40640299›Full record

ArticleScientific data2025

Comprehensive resource for transcription readthrough events in healthy human tissues.

Yang Mei, Ziqi Cheng, Yueqi Lu, Shiyi Wu, Xi Chen

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
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

5 authors.

Yang Mei *College of Plant Protection, Jilin Agricultural University, Changchun, 130118, China.ORCID 0000-0003-0507-5776
Ziqi Cheng *College of Plant Protection, Jilin Agricultural University, Changchun, 130118, China.
Yueqi LuYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, 324000, China.
Shiyi WuCollege of Animal Science and Technology, Jilin Agricultural University, Changchun, 130118, China.
Xi ChenDepartment of Clinical Laboratory, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, 324000, China. chenxi_1201@zju.edu.cn.

Funding

Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LQZQN25H250003
6 · The paper itself

Abstract

Transcription readthrough occurs when RNA polymerase bypasses canonical termination sites, producing elongated RNA molecules called readthrough (RT) transcripts or downstream of gene (DoG) transcripts. Although RT transcripts have been implicated in stress responses and pathological states, their roles in healthy human tissues are poorly understood. This study collected and analyzed RT events across 43 healthy human tissues, identifying 75,248 RT events from 35,720 transcripts across 11,692 genes. The dataset encompasses the sequences, locations, expression profiles, and comprehensive annotation information of corresponding genes for RT transcripts. It provides a thorough elucidation of RT transcriptomics and its significance in gene regulation, offering a wealth of benchmark data to facilitate further research on RT transcripts.

Indexed as

Transcription, GeneticGene Expression RegulationHumansTranscriptome

Identifiers

PMID40640299
PMCPMC12246424

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.