Evidence map›Paper›PMID 38229106›Full record

ArticleGenome biology2024

Improved modeling of RNA-binding protein motifs in an interpretable neural model of RNA splicing.

Kavi Gupta, Chenxi Yang, Kayla McCue, Osbert Bastani, Phillip A Sharp, Christopher B Burge, Armando Solar-Lezama

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  8. Interpretation of RNA Universe and Coding Potential Using IntRNA.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. [The splicing factor HNRNPH1 regulates Circ-MYOCD back-splicing to modulate the course of cardiac hypertrophy].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2025
    Article
  11. Review
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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

7 authors at 3 institutions in 1 country.

Kavi GuptaDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Chenxi YangDepartment of Computer Science, University of Texas at Austin, Austin, TX, 78712, USA.
Kayla McCueDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Osbert BastaniDepartment of Computer and Information Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Phillip A SharpDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Christopher B BurgeDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. cburge@mit.edu.ORCID 0000-0001-9047-5648
Armando Solar-LezamaDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. asolar@mit.edu.
Massachusetts Institute of Technology · USThe University of Texas at Austin · USUniversity of Pennsylvania · US

Funding

Regulation and Function of Alternative mRNA Isoform Expression in MammalsR01HG002439 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2002 to 2024
$9.7M
Identification and Function of Sequence-specific Splicing RegulatorsR01GM085319 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI BURGE, CHRISTOPHER B · 2008 to 2025
$5.2M
NHGRI NIH HHS HG002439NHGRI NIH HHS R01 HG002439NIGMS NIH HHS R01 GM085319
6 · The paper itself

Abstract

Sequence-specific RNA-binding proteins (RBPs) play central roles in splicing decisions. Here, we describe a modular splicing architecture that leverages in vitro-derived RNA affinity models for 79 human RBPs and the annotated human genome to produce improved models of RBP binding and activity. Binding and activity are modeled by separate Motif and Aggregator components that can be mixed and matched, enforcing sparsity to improve interpretability. Training a new Adjusted Motif (AM) architecture on the splicing task not only yields better splicing predictions but also improves prediction of RBP-binding sites in vivo and of splicing activity, assessed using independent data.

Indexed as

RNA-Binding ProteinsRNA SplicingBinding SitesHumansProtein BindingRNARNARNA-Binding ProteinsAlternative splicingGenome interpretationMachine learningNeural networkRNA-binding proteinRNA processingVariant interpretation

Identifiers

PMID38229106
PMCPMC10790492
OpenAlexW4390918072

What OpenQuestion 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 OpenQuestion graph.