Evidence map›Paper›PMID 40101781›Full record

ReviewOpen biology2025

Footprints in the Sno: investigating the cellular and molecular mechanisms of SNORD116.

Terri L Holmes, Alzbeta Chabronova, Chris Denning, Victoria James, Mandy J Peffers, James G W Smith

Abstract readReview
In one paragraph

Review in Open biology, 2025. 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. Genome-wide profiling of RNA 2'-bioRxiv : the preprint server for biology · 2025
    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.

Terri L HolmesCentre for Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk NR4 7UQ, UK.ORCID 0000-0002-8480-0755
Alzbeta ChabronovaDepartment of Musculoskeletal Ageing Science, University of Liverpool, Liverpool, UK.
Chris DenningDepartment of Stem Cell Biology, University of Nottingham, Nottingham, UK.
Victoria JamesSchool of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Mandy J PeffersDepartment of Musculoskeletal Ageing Science, University of Liverpool, Liverpool, UK.
James G W SmithCentre for Metabolic Health, Norwich Medical School, University of East Anglia, Norwich, Norfolk NR4 7UQ, UK.

Funding

Animal Free Research UKBritish Heart Foundation
6 · The paper itself

Abstract

The small nucleolar RNA (snoRNA) SNORD116 is a small non-coding RNA of interest across multiple biomedical fields of research. Much of the investigation into SNORD116 has been undertaken in the context of the congenital disease Prader-Willi syndrome, wherein SNORD116 expression is lost. However, emerging evidence indicates wider roles in various disease and tissue contexts such as cellular growth, metabolism and signalling. Nevertheless, a conclusive mechanism of action for SNORD116 remains to be established. Here, we review the key findings from these investigations, with the aim of identifying common elements from which to elucidate potential targets and mechanisms of SNORD116. A key recurring element identified is disruption to the insulin/IGF-1 and PI3K/mTOR signalling pathways, contributing to many of the phenotypes associated with SNORD116 modulation explored in this review.

Indexed as

RNA, Small NucleolarAnimalsGene Expression RegulationHumansInsulin-Like Growth Factor IPhosphatidylinositol 3-KinasesPrader-Willi SyndromeSignal TransductionTOR Serine-Threonine KinasesInsulin-Like Growth Factor IPhosphatidylinositol 3-KinasesRNA, Small NucleolarTOR Serine-Threonine Kinasescell signallingmetabolismPrader–Willi syndromeSNORD116snoRNA

Identifiers

PMID40101781
PMCPMC11919532

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.