Evidence map›Paper›PMID 27585862›Full record

ArticleScientific reports2016

Mammalian Brain Development is Accompanied by a Dramatic Increase in Bipolar DNA Methylation.

Ming-An Sun, Zhixiong Sun, Xiaowei Wu, Veena Rajaram, David Keimig, Jessica Lim, Hongxiao Zhu, Hehuang Xie

Abstract read
In one paragraph

Article in Scientific reports, 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
–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

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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.

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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

8 authors.

Ming-An SunEpigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Zhixiong SunEpigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Xiaowei WuDepartment of Statistics, Virginia Tech, Blacksburg, VA, USA.
Veena RajaramDepartment of Pathology, Children's Medical center, Dallas 75235 , USA.
David KeimigEpigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Jessica LimEpigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.
Hongxiao ZhuDepartment of Statistics, Virginia Tech, Blacksburg, VA, USA.
Hehuang XieEpigenomics and Computational Biology Lab, Biocomplexity Institute of Virginia Tech, Blacksburg, VA, USA.

Funding

The epigenetic role of EGR1 during postnatal brain development and in neuronal activityR01NS094574 · NINDS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI XIE, HEHUANG · 2016 to 2020
$1.7M
NINDS NIH HHS R01 NS094574
6 · The paper itself

Abstract

DNA methylation is an epigenetic mechanism critical for tissue development and cell specification. Mammalian brains consist of many different types of cells with assumedly distinct DNA methylation profiles, and thus some genomic loci may demonstrate bipolar DNA methylation pattern, i.e. hypermethylated in one cell subset but hypomethylated in others. Currently, how extensive methylation patterns vary among brain cells is unknown and bipolar methylated genomic loci remain largely unexplored. In this study, we implemented a procedure to infer cell-subset specific methylated (CSM) loci from the methylomes of human and mouse frontal cortices at different developmental stages. With the genome-scale hairpin bisulfite sequencing approach, we demonstrated that the majority of CSM loci predicted likely resulted from the methylation differences among brain cells rather than from asymmetric DNA methylation between DNA double strands. Correlated with enhancer-associated histone modifications, putative CSM loci increased dramatically during early stages of brain development and were enriched for GWAS variants associated with neurological disorder-related diseases/traits. Altogether, this study provides a procedure to identify genomic regions showing methylation differences in a mixed cell population and our results suggest that a set of cis-regulatory elements are primed in early postnatal life whose functions may be compromised in human neurological disorders.

Indexed as

DNA MethylationAdolescentAnimalsBrainGene Expression ProfilingGenome-Wide Association StudyGenomicsHistonesHumansMammalsMethylationMiceHistones

Identifiers

PMID27585862
PMCPMC5010034

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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.