Comprehensive resource for transcription readthrough events in healthy human tissues
Yang Mei1, Ziqi Cheng1, Yueqi Lu2
1College of Plant Protection, Jilin Agricultural University, Changchun, 130118, China.
Scientific Data
|July 10, 2025
Summary
This study reveals the prevalence and characteristics of transcription readthrough (RT) events in healthy human tissues. It provides a comprehensive dataset of RT transcripts, advancing our understanding of gene regulation.
Area of Science:
- Molecular Biology
- Genomics
- Transcriptomics
Background:
- Transcription readthrough (RT) produces elongated RNA molecules (RT transcripts or downstream of gene transcripts).
- The biological roles of RT transcripts in healthy human tissues remain largely unexplored.
- Previous research has linked RT transcripts to stress responses and pathological conditions.
Purpose of the Study:
- To comprehensively analyze transcription readthrough events across a wide range of healthy human tissues.
- To characterize the landscape of RT transcripts and their associated genes in normal human physiology.
- To establish a benchmark dataset for future research on RT transcriptomics and gene regulation.
Main Methods:
- Systematic collection and analysis of RT events from 43 distinct healthy human tissue samples.
- Identification and cataloging of RT events, including transcript sequences, genomic locations, and expression profiles.
- Integration of RT transcript data with comprehensive gene annotation information.
Main Results:
- Identification of 75,248 RT events derived from 35,720 transcripts across 11,692 genes.
- Detailed characterization of RT transcript sequences, genomic locations, and expression patterns in healthy tissues.
- Establishment of a comprehensive dataset linking RT transcripts to their corresponding gene annotations.
Conclusions:
- Transcription readthrough is a significant biological phenomenon occurring across diverse healthy human tissues.
- The generated dataset offers valuable insights into the role of RT transcripts in normal gene regulation.
- This work provides a foundational resource for further investigation into the functional implications of RT transcriptomics.
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