Evidence map›Paper›PMID 39159368›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Splice modulation strategy applied to deep intronic variants in

Nathalie Pironon, Emmanuelle Bourrat, Catherine Prost, Mei Chen, David T Woodley, Matthias Titeux, Alain Hovnanian

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Expansion of Splice-Switching Therapy with Antisense Oligonucleotides.International journal of molecular sciences · 2025
    Review
  5. Article
  6. Review
  7. Splice modulation strategy applied to deep intronic variants inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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.

Nathalie PirononUniversité Paris Cité, Inserm, UMR 1163, Institut Imagine, Laboratory of Genetic Skin Diseases, Paris F-75015, France.ORCID 0000-0003-2070-7604
Emmanuelle BourratDepartment of Dermatology, Assistance Publique des Hôpitaux de Paris (AP-HP), Hôpital Saint Louis, Paris, France.ORCID 0000-0001-5375-738X
Catherine ProstHôpital Avicenne, Assistance Publique des Hôpitaux de Paris, Bobigny F-93000, France.
Mei ChenDepartment of Dermatology, The Keck School of Medicine, University of Southern California, LA.
David T WoodleyDepartment of Dermatology, The Keck School of Medicine, University of Southern California, LA.
Matthias Titeux *Université Paris Cité, Inserm, UMR 1163, Institut Imagine, Laboratory of Genetic Skin Diseases, Paris F-75015, France.ORCID 0000-0001-7386-2769
Alain Hovnanian *Université Paris Cité, Inserm, UMR 1163, Institut Imagine, Laboratory of Genetic Skin Diseases, Paris F-75015, France.

Funding

Dystrophic Epidermolysis Bullosa Research Association (DEBRA) DEBRA-France-2020
6 · The paper itself

Abstract

Recessive dystrophic epidermolysis bullosa (RDEB) is a rare and most often severe genetic disease characterized by recurrent blistering and erosions of the skin and mucous membranes after minor trauma, leading to major local and systemic complications. The disease is caused by loss-of-function variants in

Indexed as

Collagen Type VIIEpidermolysis Bullosa DystrophicaIntronsRNA SplicingExonsFemaleHumansMaleOligonucleotides, AntisenseCOL7A1 protein, humanCollagen Type VIIOligonucleotides, Antisenseantisense oligonucleotidesCOL7A1mRNA splicingsplice modulationtype VII collagen

Identifiers

PMID39159368
PMCPMC11363305

What OpenQuestion holds

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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.