Evidence map›Paper›PMID 26365234›Full record

ArticleNucleic acids research2016

A computational method for studying the relation between alternative splicing and DNA methylation.

Zejun Zheng, Xiaona Wei, Andreas Hildebrandt, Bertil Schmidt

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  3. Observational
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  10. Article
  11. Bioinformatics challenges and perspectives when studying the effect of epigenetic modifications on alternative splicing.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    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

4 authors at 3 institutions in 2 countries.

Zejun ZhengBioinformatics Institute, Singapore 138671, Singapore.
Xiaona WeiInstitute of Bioengineering and Nanotechnology, Singapore 138669, Singapore.
Andreas HildebrandtInstitut für Informatik, Johannes Gutenberg Universität Mainz, 55099 Mainz, Germany.
Bertil SchmidtInstitut für Informatik, Johannes Gutenberg Universität Mainz, 55099 Mainz, Germany bertil.schmidt@uni-mainz.de.
Johannes Gutenberg University Mainz · DEBioinformatics Institute · SGInstitute of Bioengineering and Nanotechnology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alternative splicing is an important mechanism in eukaryotes that expands the transcriptome and proteome significantly. It plays an important role in a number of biological processes. Understanding its regulation is hence an important challenge. Recently, increasing evidence has been collected that supports an involvement of intragenic DNA methylation in the regulation of alternative splicing. The exact mechanisms of regulation, however, are largely unknown, and speculated to be complex: different methylation profiles might exist, each of which could be associated with a different regulation mechanism. We present a computational technique that is able to determine such stable methylation patterns and allows to correlate these patterns with inclusion propensity of exons. Pattern detection is based on dynamic time warping (DTW) of methylation profiles, a sophisticated similarity measure for signals that can be non-trivially transformed. We design a flexible self-organizing map approach to pattern grouping. Exemplary application on available data sets indicates that stable patterns which correlate non-trivially with exon inclusion do indeed exist. To improve the reliability of these predictions, further studies on larger data sets will be required. We have thus taken great care that our software runs efficiently on modern hardware, so that it can support future studies on large-scale data sets.

Indexed as

Alternative SplicingDNA MethylationEpigenesis, GeneticSoftwareExonsHumansIntronsRNATranscriptomeRNA

Identifiers

PMID26365234
PMCPMC4737180
OpenAlexW1665076412

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.