Evidence map›Paper›PMID 29685977›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2018

Bioinformatics challenges and perspectives when studying the effect of epigenetic modifications on alternative splicing.

Clare Pacini, Magdalena J Koziol

Open access · hybridAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Epigenetics: the first 25 centuries.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2018
    Article
  9. More than a messenger: Alternative splicing as a therapeutic target.Biochimica et biophysica acta. Gene regulatory mechanisms
    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

2 authors at 1 institution in 1 country.

Clare PaciniWellcome Trust Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK.ORCID 0000-0001-7791-0940
Magdalena J KoziolWellcome Trust Cancer Research UK Gurdon Institute, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QN, UK mjk39@cam.ac.uk.ORCID 0000-0002-4123-4343
University of Cambridge · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M022994/1Cancer Research UK C6946/A24843Wellcome Trust 101050/Z/13/ZWellcome Trust 203144
6 · The paper itself

Abstract

It is widely known that epigenetic modifications are important in regulating transcription, but several have also been reported in alternative splicing. The regulation of pre-mRNA splicing is important to explain proteomic diversity and the misregulation of splicing has been implicated in many diseases. Here, we give a brief overview of the role of epigenetics in alternative splicing and disease. We then discuss the bioinformatics methods that can be used to model interactions between epigenetic marks and regulators of splicing. These models can be used to identify alternative splicing and epigenetic changes across different phenotypes.This article is part of a discussion meeting issue 'Frontiers in epigenetic chemical biology'.

Indexed as

Alternative SplicingComputational BiologyEpigenesis, GeneticHumansProteomeProteomebioinformaticsepigeneticsmodellingnetworksRNA-SEQsplicing

Identifiers

PMID29685977
PMCPMC5915717
OpenAlexW2800608952

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.