Evidence map›Paper›PMID 25066652›Full record

ArticleHuman mutation2014

Experimental assessment of splicing variants using expression minigenes and comparison with in silico predictions.

Neeraj Sharma, Patrick R Sosnay, Anabela S Ramalho, Christopher Douville, Arianna Franca, Laura B Gottschalk, Jeenah Park, Melissa Lee, Briana Vecchio-Pagan, Karen S Raraigh and 3 more

Abstract readComparative Study
In one paragraph

Article in Human mutation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
3.0field-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

39 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. AHuman mutation · 2024
    Article
  5. Article
  6. Functional restoration of a CFTR splicing mutation through RNA delivery of CRISPR adenine base editor.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
    Article
  7. Q1291H-CFTR molecular dynamics simulations andFrontiers in molecular biosciences · 2023
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Accurate assignment of disease liability to genetic variants using only population data.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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 2 countries.

Neeraj SharmaMcKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Patrick R Sosnay
Anabela S Ramalho
Christopher Douville
Arianna Franca
Laura B Gottschalk
Jeenah Park
Melissa Lee
Briana Vecchio-Pagan
Karen S Raraigh
Margarida D Amaral
Rachel Karchin
Garry R Cutting
Johns Hopkins University · USJohns Hopkins Medicine · USUniversity of Lisbon · PT

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI WILLIAM George NELSON · 1985 to 2026
$208.6M
Training Program in Cellular and Molecular MedicineT32GM008752 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI RAO, RAJINI · 2000 to 2019
$11.7M
Predoctoral Training Program in Human GeneticsT32GM007814 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 1985 to 2021
$10.6M
BIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4M
MOLECULAR GENETICS OF CYSTIC FIBROSISR01DK044003 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI Garry R Cutting · 1991 to 2026
$6.7M
Molecular Genetics of Cystic FibrosisR37DK044003 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI CUTTING, GARRY R · 2003 to 2012
$3.9M
NCI NIH HHS P30 CA006973NIDDK NIH HHS 5R37DK044003NIDDK NIH HHS R01 DK044003NIDDK NIH HHS R37 DK044003NIGMS NIH HHS T32 GM007057NIGMS NIH HHS T32 GM007814NIGMS NIH HHS T32 GM008752
6 · The paper itself

Abstract

Assessment of the functional consequences of variants near splice sites is a major challenge in the diagnostic laboratory. To address this issue, we created expression minigenes (EMGs) to determine the RNA and protein products generated by splice site variants (n = 10) implicated in cystic fibrosis (CF). Experimental results were compared with the splicing predictions of eight in silico tools. EMGs containing the full-length Cystic Fibrosis Transmembrane Conductance Regulator (CFTR) coding sequence and flanking intron sequences generated wild-type transcript and fully processed protein in Human Embryonic Kidney (HEK293) and CF bronchial epithelial (CFBE41o-) cells. Quantification of variant induced aberrant mRNA isoforms was concordant using fragment analysis and pyrosequencing. The splicing patterns of c.1585-1G>A and c.2657+5G>A were comparable to those reported in primary cells from individuals bearing these variants. Bioinformatics predictions were consistent with experimental results for 9/10 variants (MES), 8/10 variants (NNSplice), and 7/10 variants (SSAT and Sroogle). Programs that estimate the consequences of mis-splicing predicted 11/16 (HSF and ASSEDA) and 10/16 (Fsplice and SplicePort) experimentally observed mRNA isoforms. EMGs provide a robust experimental approach for clinical interpretation of splice site variants and refinement of in silico tools.

Indexed as

Computer SimulationGenetic TechniquesRNA SplicingCell LineCystic FibrosisCystic Fibrosis Transmembrane Conductance RegulatorHumansMutationRNA IsoformsRNA Splice SitesCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorRNA IsoformsRNA Splice SitesCFTRexpression minigenein silico toolssplicing

Identifiers

PMID25066652
PMCPMC4425124
OpenAlexW2077716493

What OpenQuestion holds

Textmetadata
LicenceTDM
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.