Evidence map›Paper›PMID 25569440›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2015

Small-scale high-throughput sequencing-based identification of new therapeutic tools in cystic fibrosis.

Jennifer Bonini, Jessica Varilh, Caroline Raynal, Corinne Thèze, Emmanuelle Beyne, Marie-Pierre Audrezet, Claude Ferec, Thierry Bienvenu, Emmanuelle Girodon, Sylvie Tuffery-Giraud and 3 more

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In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Gene Therapy for Cystic Fibrosis: Progress and Challenges of Genome Editing.International journal of molecular sciences · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

13 authors at 3 institutions in 1 country.

Jennifer BoniniINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Jessica VarilhINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Caroline RaynalINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Corinne ThèzeINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Emmanuelle BeyneINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Marie-Pierre AudrezetLaboratoire de Génétique Moléculaire et d'Histocompatibilité, CHRU, Brest, France.
Claude FerecLaboratoire de Génétique Moléculaire et d'Histocompatibilité, CHRU, Brest, France.
Thierry BienvenuAP-HP, Service de Biochimie et Génétique Moléculaires, Groupe Hospitalier Cochin Broca Hôtel Dieu, Paris, France.
Emmanuelle GirodonAP-HP, Service de Biochimie et Génétique Moléculaires, Groupe Hospitalier Cochin Broca Hôtel Dieu, Paris, France.
Sylvie Tuffery-GiraudINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.ORCID http://orcid.org/0000-0001-9369-7780
Marie Des GeorgesINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Mireille ClaustresINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Magali Taulan-CadarsINSERM U827, Laboratoire de Génétique de Maladies Rares, Montpellier, France.
Inserm · FRAssistance Publique – Hôpitaux de Paris · FRLaboratoire de Microbiologie et Génétique Moléculaires · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough 97-99% of CFTR mutations have been identified, great efforts must be made to detect yet-unidentified mutations.

methodsWe developed a small-scale next-generation sequencing approach for reliably and quickly scanning the entire gene, including noncoding regions, to identify new mutations. We applied this approach to 18 samples from patients suffering from cystic fibrosis (CF) in whom only one mutation had hitherto been identified.

resultsUsing an in-house bioinformatics pipeline, we could rapidly identify a second disease-causing CFTR mutation for 16 of 18 samples. Of them, c.1680-883A>G was found in three unrelated CF patients. Analysis of minigenes and patients' transcripts showed that this mutation results in aberrantly spliced transcripts because of the inclusion of a pseudoexon. It is located only three base pairs from the c.1680-886A>G mutation (1811+1.6kbA>G), the fourth most frequent mutation in southwestern Europe. We next tested the effect of antisense oligonucleotides targeting splice sites on these two mutations on pseudoexon skipping. Oligonucleotide transfection resulted in the restoration of the full-length, in-frame CFTR transcript, demonstrating the effect of antisense oligonucleotide-induced pseudoexon skipping in CF.

conclusionOur data confirm the importance of analyzing noncoding regions to find unidentified mutations, which is essential to designing targeted therapeutic approaches.

Indexed as

High-Throughput Nucleotide SequencingAlternative SplicingBase SequenceCell LineChromosome MappingChromosomes, Human, Pair 7Computational BiologyCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorExonsGene ExpressionGene OrderGenes, ReporterGenetic LociHumansIntronsCystic Fibrosis Transmembrane Conductance Regulator

Identifiers

PMID25569440
OpenAlexW1994217446

What OpenQuestion holds

Textmetadata
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.