Evidence map›Paper›PMID 39356106›Full record

ArticleeLife2024

An anciently diverged family of RNA binding proteins maintain correct splicing of a class of ultra-long exons through cryptic splice site repression.

Chileleko Siachisumo, Sara Luzzi, Saad Aldalaqan, Gerald Hysenaj, Caroline Dalgliesh, Kathleen Cheung, Matthew R Gazzara, Ivaylo D Yonchev, Katherine James, Mahsa Kheirollahi Chadegani and 7 more

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

17 authors.

Chileleko Siachisumo *Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Sara Luzzi *Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0001-6337-7495
Saad Aldalaqan *Biosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Gerald HysenajBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Caroline DalglieshBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Kathleen CheungBioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Matthew R GazzaraDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Phildelphia, United States.
Ivaylo D YonchevSchool of Biosciences, University of Sheffield, Sheffield, United Kingdom.
Katherine JamesSchool of Computing, Newcastle University, Newcastle, United Kingdom.
Mahsa Kheirollahi ChadeganiBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Ingrid E EhrmannBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Graham R SmithBioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Simon J CockellBioinformatics Support Unit, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0002-6831-9806
Jennifer MunkleyBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.
Stuart A WilsonSchool of Biosciences, University of Sheffield, Sheffield, United Kingdom.
Yoseph BarashDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Phildelphia, United States.
David J ElliottBiosciences Institute, Faculty of Medical Sciences, Newcastle University, Newcastle, United Kingdom.ORCID https://orcid.org/0000-0002-6930-0699

Funding

Biotechnology and Biological Sciences Research Council BB/P006612/1Biotechnology and Biological Sciences Research Council BB/S008039/1Biotechnology and Biological Sciences Research Council BB/W002019/1Biotechnology and Biological Sciences Research Council Newcastle Liverpool Durham BBSRC Doctoral Training Partnership (BB/M011186/1)
6 · The paper itself

Abstract

Previously, we showed that the germ cell-specific nuclear protein RBMXL2 represses cryptic splicing patterns during meiosis and is required for male fertility (Ehrmann et al., 2019). Here, we show that in somatic cells the similar yet ubiquitously expressed RBMX protein has similar functions. RBMX regulates a distinct class of exons that exceed the median human exon size. RBMX protein-RNA interactions are enriched within ultra-long exons, particularly within genes involved in genome stability, and repress the selection of cryptic splice sites that would compromise gene function. The

Indexed as

ExonsRNA-Binding ProteinsRNA Splice SitesRNA SplicingAnimalsHeterogeneous-Nuclear RibonucleoproteinsHumansMaleMeiosisHeterogeneous-Nuclear RibonucleoproteinsRBMX protein, humanRNA-Binding ProteinsRNA Splice Siteschromosomesexongene expressionhumanRNASplicing

Identifiers

PMID39356106
PMCPMC11446547

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.