Evidence map›Paper›PMID 41787512›Full record

ArticleNucleic acids research2026

RNA localization to nuclear speckles follows splicing logic.

Li Wen, Mauricio A Arias, Xinqi Fan, Joyce Xie, Sneha Paul, Susan E Liao, Marek Sobczyk, Oded Regev, Jingyi Fei

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Li WenDepartment of Physics, The University of Chicago, Chicago, IL, 60637, United States.
Mauricio A AriasCourant Institute of Mathematical Sciences, New York University, New York, NY 10012, United States.
Xinqi FanDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, United States.
Joyce XieCourant Institute of Mathematical Sciences, New York University, New York, NY 10012, United States.
Sneha PaulDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, United States.
Susan E LiaoCourant Institute of Mathematical Sciences, New York University, New York, NY 10012, United States.
Marek SobczykDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, United States.
Oded RegevCourant Institute of Mathematical Sciences, New York University, New York, NY 10012, United States.ORCID 0000-0002-8616-3163
Jingyi FeiDepartment of Biochemistry and Molecular Biology, The University of Chicago, Chicago, IL 60637, United States.ORCID 0000-0002-9775-3820

Funding

Life Sciences Research FoundationNational Science Foundation MCB-2226731National Science Foundation MCB-2246530NIH HHS 1DP2GM128185-01Yen Foundation
6 · The paper itself

Abstract

Nuclear speckles are membraneless organelles implicated in multiple RNA processing steps. In this work, we systematically characterize the sequence logic determining RNA localization to nuclear speckles. We find extensive similarities between the speckle localization code and the RNA splicing code, even for transcripts that do not undergo splicing. Specifically, speckle localization is enhanced by the presence of unspliced exon-like or intron-like sequence features. We demonstrate that interactions required for early spliceosomal complex assembly contribute to speckle localization. We also show that speckle localization of isolated endogenous exons is reduced by disease-associated single nucleotide variants. Finally, we find that speckle localization strongly correlates with splicing kinetics of splicing-competent constructs and is linked to the decision between exon inclusion and skipping. Together, these results suggest a model in which RNA speckle localization is associated with the formation of the early spliceosomal complex and enhances the efficiency of splicing reactions.

Indexed as

Nuclear SpecklesRNARNA SplicingCell NucleusExonsHeLa CellsHumansIntronsRNA PrecursorsSpliceosomesRNARNA Precursors

Identifiers

PMID41787512
PMCPMC12962856

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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.