Evidence map›Paper›PMID 36533631›Full record

ArticleEMBO reports2023

Distinct biogenesis pathways may have led to functional divergence of the human and Drosophila Arglu1 sisRNA.

Seow Neng Chan, Jun Wei Pek

Open access · greenAbstract read
In one paragraph

Article in EMBO reports, 2023. 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
0.6field-weighted citation impact, top 35% of its field
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, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. PlantIntronDB: a database for plant introns that host functional elements.Database : the journal of biological databases and curation · 2023
    Article
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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

2 authors at 1 institution in 1 country.

Seow Neng ChanTemasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.ORCID 0000-0003-4401-7210
Jun Wei PekTemasek Life Sciences Laboratory, National University of Singapore, Singapore, Singapore.ORCID 0000-0001-6089-6900
Temasek Life Sciences Laboratory · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable intronic sequence RNAs (sisRNAs) are stable, long noncoding RNAs containing intronic sequences. While sisRNAs have been found across diverse species, their level of conservation remains poorly understood. Here we report that the biogenesis and functions of a sisRNA transcribed from the highly conserved Arglu1 locus are distinct in human and Drosophila melanogaster. The Arglu1 genes in both species show similar exon-intron structures where the intron 2 is orthologous and positionally conserved. In humans, Arglu1 sisRNA retains the entire intron 2 and promotes host gene splicing. Mechanistically, Arglu1 sisRNA represses the splicing-inhibitory activity of ARGLU1 protein by binding to ARGLU1 protein and promoting its localization to nuclear speckles, away from the Arglu1 gene locus. In contrast, Drosophila dArglu1 sisRNA forms via premature cleavage of intron 2 and represses host gene splicing. This repression occurs through a local accumulation of dARGLU1 protein and inhibition of telescripting by U1 snRNPs at the dArglu1 locus. We propose that distinct biogenesis of positionally conserved Arglu1 sisRNAs in both species may have led to functional divergence.

Indexed as

Drosophila melanogasterRNA, Long NoncodingAnimalsHumansIntracellular Signaling Peptides and ProteinsIntronsRNA SplicingARGLU1 protein, humanIntracellular Signaling Peptides and ProteinsRNA, Long NoncodingArglu1autoregulationorthologous intronpositional conservationsisRNA

Identifiers

PMID36533631
PMCPMC9900350
OpenAlexW4311932259

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.