Evidence map›Paper›PMID 30679030›Full record

ReviewHearing research2019

Approaches for the study of epigenetic modifications in the inner ear and related tissues.

Bradley J Walters, Brandon C Cox

Abstract readReview
In one paragraph

Review in Hearing research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

2 authors.

Bradley J WaltersDepartments of Neurobiology and Anatomical Sciences, and of Otolaryngology and Communicative Sciences, University of Mississippi Medical Center, Jackson, MS, 39216, USA.
Brandon C CoxDepartments of Pharmacology and Surgery, Division of Otolaryngology, Southern Illinois University School of Medicine, Springfield, IL 62711, USA. Electronic address: bcox@siumed.edu.

Funding

Molecular determinants of cell fate in the inner earR01DC016365 · NIDCD · UNIVERSITY OF MISSISSIPPI MED CTR · PI WALTERS, BRADLEY J. · 2017 to 2021
$1.7M
Mechanisms that regulate hair cell survivalR01DC014441 · NIDCD · SOUTHERN ILLINOIS UNIVERSITY SCH OF MED · PI COX, BRANDON C. · 2016 to 2020
$1.6M
NIDCD NIH HHS R01 DC014441NIDCD NIH HHS R01 DC016365
6 · The paper itself

Abstract

DNA methylation and histone modifications such as methylation, acetylation, and phosphorylation, are two types of epigenetic modifications that alter gene expression. These additions to DNA regulatory elements or to the tails of histones can be inherited or can also occur de novo. Since epigenetic modifications can have significant effects on various processes at both the cellular and organismal level, there has been a rapid increase in research on this topic throughout all fields of biology in recent years. However, epigenetic research is relativity new for the inner ear field, likely due to the limited number of cells present and their quiescent nature. Here, we provide an overview of methods used to detect DNA methylation and histone modifications with a focus on those that have been validated for use with limited cell numbers and a discussion of the strengths and limitations for each. We also provide examples for how these methods have been used to investigate the epigenetic landscape in the inner ear and related tissues.

Indexed as

Epigenesis, GeneticAmino Acid SequenceAnimalsChromatinDNA MethylationEar, InnerHistone CodeHistonesHumansMiceMolecular BiologyMolecular ConformationChromatinHistonesDNA methylationHistone acetylationHistone methylationHistone phosphorylation

Identifiers

PMID30679030
PMCPMC6456365

What OpenQuestion holds

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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.