Evidence map›Paper›PMID 42607686›Full record

ArticleMolecular cell2026

Pervasive noise in human pre-mRNA splice site selection.

Eraj S Khokhar, Kaitlyn Brokaw, Zachary J Kartje, Ye Liu, Valeria Sanabria, Nida Javeed, Ayush Kumar, Ezequiel Calvo-Roitberg, Jonathan K Watts, Athma A Pai

Abstract read
In one paragraph

Article in Molecular cell, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. bioRxiv : the preprint server for biology · 2025
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Eraj S KhokharRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Kaitlyn BrokawRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Zachary J KartjeRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Ye LiuRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Valeria SanabriaRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Nida JaveedRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Ayush KumarRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA; Department of Molecular, Cellular, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Ezequiel Calvo-RoitbergRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA.
Jonathan K WattsRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA. Electronic address: jonathan.watts@umassmed.edu.
Athma A PaiRNA Therapeutics Institute, University of Massachusetts Chan Medical School, Worcester, MA 01605, USA. Electronic address: athma.pai@umassmed.edu.

Funding

Next-generation antisense therapeutics for ALS and frontotemporal dementiaR01NS111990 · NINDS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Robert H Brown, Jonathan K Watts · 2019 to 2026
$5.2M
Tracking transcriptome diversity in real-timeR35GM133762 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Athma A Pai · 2019 to 2026
$3.3M
NIGMS NIH HHS R35 GM133762NINDS NIH HHS R01 NS111990
6 · The paper itself

Abstract

RNA splicing has historically been thought to be highly efficient and accurate, with little opportunity for deviation from regulated alternative splicing. This dogma has been challenged by recent observations that biological noise may contribute substantially to transcriptome diversity. However, quantitative understanding of stochastic splicing variation is challenging because these transcripts are likely subject to rapid degradation. Here, we use deep sequencing across RNA compartments to track splicing intermediates in human cells and see abundant cryptic splicing associated with genomic features that promote splicing noise. We observe pervasive usage of low-fidelity splice sites, likely due to stochasticity in recruitment or binding of the spliceosome. These sites are turned over quickly and show evidence for nuclear and cytoplasmic degradation, suggesting widespread surveillance and rapid quality control of non-productive transcripts. Our findings provide insights into the propensity for error in RNA processing mechanisms and regulation of alternative splice sites across a gene.

Indexed as

Alternative SplicingRNA, MessengerRNA PrecursorsRNA Splice SitesRNA SplicingCell NucleusHigh-Throughput Nucleotide SequencingHumansSpliceosomesTranscriptomeRNA, MessengerRNA PrecursorsRNA Splice SitesgenomicsRNA-seqRNA splicingsystems biology

Identifiers

PMID42607686
PMCPMC13528406

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.