Evidence map›Paper›PMID 41427310›Full record

ArticlebioRxiv : the preprint server for biology2025

snoCLASH Reveals Extensive snoRNA-mRNA Interaction Networks.

Brittany A Elliott, Gene Yang, Alex K Choi, Yinzhou Zhu, Wesley R Freeman, Christopher L Holley

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Brittany A ElliottDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.ORCID 0000-0001-5907-1231
Gene YangDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.
Alex K ChoiDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.
Yinzhou ZhuDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.
Wesley R FreemanDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.
Christopher L HolleyDepartment of Medicine, Duke University Medical Center, Durham, NC, 27705, USA.ORCID 0000-0002-2870-3352

Funding

The Role of RNA Modifications in Heart FailureR01HL146381 · NHLBI · DUKE UNIVERSITY · PI HOLLEY, CHRISTOPHER LEE · 2019 to 2023
$1.8M
SnoRNA-guided modifications of mRNAR01GM135383 · NIGMS · DUKE UNIVERSITY · PI HOLLEY, CHRISTOPHER LEE · 2020 to 2023
$1.3M
NHLBI NIH HHS R01 HL146381NIGMS NIH HHS R01 GM135383
6 · The paper itself

Abstract

Small nucleolar RNAs (snoRNAs) are classically defined as guides for ribosomal RNA (rRNA) modification, yet increasing evidence suggests that box C/D snoRNAs also interact with non-rRNA transcripts. Systematic discovery of such interactions has been hindered by overwhelming rRNA abundance and technical limitations in RNA-RNA capture. Here, we present snoCLASH, an optimized snoRNA RNA binding protein (RBP)-based crosslinking, ligation, and sequencing framework that integrates phenol-toluol extraction, polyA enrichment, nuclear fractionation, rRNA depletion, and dual-reference chimeric read analysis to enable transcriptome-scale identification of snoRNA-non-rRNA interactions. Applying this approach reveals thousands of snoRNA-associated mRNA regions spanning coding and regulatory elements and enriched for RBPs linked to epitranscriptomic regulation. Using this framework, we identify high-confidence snoRNA-mRNA interactions and functionally validate one candidate, demonstrating that a snoCLASH-discovered target undergoes snoRNA-dependent 2'-O-methylation with downstream effects on protein expression. Together, this work establishes snoCLASH as a scalable platform for discovering and validating non-canonical snoRNA targets beyond the ribosome.

Identifiers

PMID41427310
PMCPMC12713598

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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.