Evidence map›Paper›PMID 39913622›Full record

ArticleBriefings in bioinformatics2024

Post-transcriptional regulation supports the homeostatic expression of mature RNA.

Zheng Su, Mingyan Fang, Andrei Smolnikov, Fatemeh Vafaee, Marcel E Dinger, Emily C Oates

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

6 authors.

Zheng SuSchool of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Biological Sciences North Building (D26), Upper Kensington Campus, Sydney, New South Wales 2052, Australia.ORCID 0000-0002-1414-6970
Mingyan FangBGI Research, Building 1, Future Science and Technology Innovation Mansion, No. 59, Science and Technology 3rd Road, East Lake High-tech Development Zone, Wuhan City, Hubei Province, 430074, China.ORCID 0000-0001-7185-6445
Andrei SmolnikovSchool of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Biological Sciences North Building (D26), Upper Kensington Campus, Sydney, New South Wales 2052, Australia.
Fatemeh VafaeeSchool of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Biological Sciences North Building (D26), Upper Kensington Campus, Sydney, New South Wales 2052, Australia.ORCID 0000-0002-7521-2417
Marcel E DingerSchool of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Biological Sciences North Building (D26), Upper Kensington Campus, Sydney, New South Wales 2052, Australia.
Emily C OatesSchool of Biotechnology and Biomolecular Sciences, Faculty of Science, The University of New South Wales, Biological Sciences North Building (D26), Upper Kensington Campus, Sydney, New South Wales 2052, Australia.

Funding

UNSW
6 · The paper itself

Abstract

Gene expression regulation is a sophisticated, multi-stage process, and its robustness is critical to normal cell function and the survival of an organism. Previous studies indicate that differential gene expression at the RNA level is typically attenuated at the protein level through translational regulation. However, how post-transcriptional regulation (PTR) influences expression change during the RNA maturation process remains unclear. In this study, we investigated this by quantifying the magnitude of expression change in precursor RNA and mature RNA across a vast range of different biological conditions. We analyzed bulk tissue RNA sequencing data from 4689 samples, including healthy and diseased tissues from human, chimpanzee, rhesus macaque, and murine sources. We demonstrated that PTR tends to support homeostatic expression of mature RNA by amplifying normal tissue-specific expression of precursor RNA, while reducing expression change of precursor RNA in disease contexts. Our study provides insight into the general influence of PTR on gene expression homeostasis. Our analysis also suggests that intronic reads in RNA-seq studies may contain under-utilized information about disease associations. Additionally, our findings may assist in identifying new disease biomarkers and more effective ways of altering gene expression as a therapeutic strategy.

Indexed as

Gene Expression RegulationHomeostasisRNARNA Processing, Post-TranscriptionalAnimalsHumansMacaca mulattaMicePan troglodytesSequence Analysis, RNARNApost-transcriptional regulationRNA expressionRNA-seq

Identifiers

PMID39913622
PMCPMC11801271

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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.