Evidence map›Paper›PMID 26436772›Full record

ArticleJournal of visualized experiments : JoVE2015

Correlating Gene-specific DNA Methylation Changes with Expression and Transcriptional Activity of Astrocytic KCNJ10 (Kir4.1).

Sinifunanya E Nwaobi, Michelle L Olsen

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Epigenetic regulation of astrocyte function in neuroinflammation and neurodegeneration.Biochimica et biophysica acta. Molecular basis of disease · 2018
    Review
  7. Role and mechanisms of regulation of the basolateral KActa physiologica (Oxford, England) · 2017
    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.

Sinifunanya E NwaobiDepartment of Cell Developmental and Integrative Biology, University of Alabama at Birmingham.
Michelle L OlsenDepartment of Cell Developmental and Integrative Biology, University of Alabama at Birmingham; molsen@uab.edu.
University of Alabama at Birmingham · US

Funding

ROS Modulation of Innate and Adaptive Immunity in RAP30AR048311 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MOUNTZ, JOHN D · 2001 to 2017
$9.5M
Epigenetic Regulation of Kir4.1 and GLT1 in PathophysiologyR01NS075062 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI OLSEN, MICHELLE L · 2013 to 2017
$1.6M
NIAMS NIH HHS P30 AR048311NINDS NIH HHS R01 NS075062NINDS NIH HHS R01NS075062-01A1PHS HHS P30 A1027767
6 · The paper itself

Abstract

DNA methylation serves to regulate gene expression through the covalent attachment of a methyl group onto the C5 position of a cytosine in a cytosine-guanine dinucleotide. While DNA methylation provides long-lasting and stable changes in gene expression, patterns and levels of DNA methylation are also subject to change based on a variety of signals and stimuli. As such, DNA methylation functions as a powerful and dynamic regulator of gene expression. The study of neuroepigenetics has revealed a variety of physiological and pathological states that are associated with both global and gene-specific changes in DNA methylation. Specifically, striking correlations between changes in gene expression and DNA methylation exist in neuropsychiatric and neurodegenerative disorders, during synaptic plasticity, and following CNS injury. However, as the field of neuroepigenetics continues to expand its understanding of the role of DNA methylation in CNS physiology, delineating causal relationships in regards to changes in gene expression and DNA methylation are essential. Moreover, in regards to the larger field of neuroscience, the presence of vast region and cell-specific differences requires techniques that address these variances when studying the transcriptome, proteome, and epigenome. Here we describe FACS sorting of cortical astrocytes that allows for subsequent examination of a both RNA transcription and DNA methylation. Furthermore, we detail a technique to examine DNA methylation, methylation sensitive high resolution melt analysis (MS-HRMA) as well as a luciferase promoter assay. Through the use of these combined techniques one is able to not only explore correlative changes between DNA methylation and gene expression, but also directly assess if changes in the DNA methylation status of a given gene region are sufficient to affect transcriptional activity.

Indexed as

DNA MethylationAnimalsAstrocytesCytosineDinucleoside PhosphatesDNAGene ExpressionKcnj10 ChannelPotassium Channels, Inwardly RectifyingPromoter Regions, GeneticRats, TransgenicTranscriptional ActivationTranscriptomeCpG dinucleotideCytosineDinucleoside PhosphatesDNAKcnj10 ChannelPotassium Channels, Inwardly Rectifying

Identifiers

PMID26436772
PMCPMC4692629
OpenAlexW1662672276

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.