Evidence map›Paper›PMID 25147205›Full record

ArticleNucleic acids research2014

Genomic HEXploring allows landscaping of novel potential splicing regulatory elements.

Steffen Erkelenz, Stephan Theiss, Marianne Otte, Marek Widera, Jan Otto Peter, Heiner Schaal

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

61 citing papers in PubMed, 93 citations in OpenAlex.

  1. The Synonymous Exonic Variant c.255C>T (p.Leu85=) inAnnals of laboratory medicine · 2026
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  14. RegulatingMolecular therapy. Nucleic acids · 2024
    Article
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  16. Review
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  18. Review
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

6 authors at 1 institution in 1 country.

Steffen ErkelenzInstitute for Virology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Stephan TheissInstitute of Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Marianne OtteInstitute of Evolutionary Genetics, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Marek WideraInstitute for Virology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Jan Otto PeterInstitute for Virology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany.
Heiner SchaalInstitute for Virology, Heinrich-Heine-University Duesseldorf, Duesseldorf, Germany schaal@uni-duesseldorf.de.
Heinrich Heine University Düsseldorf · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective splice site selection is critically controlled by flanking splicing regulatory elements (SREs) that can enhance or repress splice site use. Although several computational algorithms currently identify a multitude of potential SRE motifs, their predictive power with respect to mutation effects is limited. Following a RESCUE-type approach, we defined a hexamer-based 'HEXplorer score' as average Z-score of all six hexamers overlapping with a given nucleotide in an arbitrary genomic sequence. Plotted along genomic regions, HEXplorer score profiles varied slowly in the vicinity of splice sites. They reflected the respective splice enhancing and silencing properties of splice site neighborhoods beyond the identification of single dedicated SRE motifs. In particular, HEXplorer score differences between mutant and reference sequences faithfully represented exonic mutation effects on splice site usage. Using the HIV-1 pre-mRNA as a model system highly dependent on SREs, we found an excellent correlation in 29 mutations between splicing activity and HEXplorer score. We successfully predicted and confirmed five novel SREs and optimized mutations inactivating a known silencer. The HEXplorer score allowed landscaping of splicing regulatory regions, provided a quantitative measure of mutation effects on splice enhancing and silencing properties and permitted calculation of the mutationally most effective nucleotide.

Indexed as

Alternative SplicingRegulatory Sequences, Ribonucleic AcidAlgorithmsComputer SimulationExonsGenomicsHEK293 CellsHeLa CellsHIVHumansMutationPoint MutationRNA, MessengerRNA PrecursorsRNA Splice SitesRNA, ViralRegulatory Sequences, Ribonucleic AcidRNA, MessengerRNA PrecursorsRNA Splice SitesRNA, Viral

Identifiers

PMID25147205
PMCPMC4176321
OpenAlexW2112540733

What OpenQuestion holds

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LicenceCC BY-NC
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.