ArticleEpigenetics2015
Adaptation of the targeted capture Methyl-Seq platform for the mouse genome identifies novel tissue-specific DNA methylation patterns of genes involved in neurodevelopment.
Article in Epigenetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 24 citations in OpenAlex.
- Article
- Implementation of the Methyl-Seq platform to identify tissue- and sex-specific DNA methylation differences in the rat epigenome.Epigenetics · 2024Article
- DNA methylome perturbations: an epigenetic basis for the emergingly heritable neurodevelopmental abnormalities associated with maternal smoking and maternal nicotine exposure†.Biology of reproduction · 2021Review
- Developmental nicotine exposure engenders intergenerational downregulation and aberrant posttranslational modification of cardinal epigenetic factors in the frontal cortices, striata, and hippocampi of adolescent mice.Epigenetics & chromatin · 2020Article
- Comprehensive analysis of DNA methylation and gene expression in orally tolerized T cells.PloS one · 2020Article
- A Rat Methyl-Seq Platform to Identify Epigenetic Changes Associated with Stress Exposure.Journal of visualized experiments : JoVE · 2018Article
- "Same difference": comprehensive evaluation of four DNA methylation measurement platforms.Epigenetics & chromatin · 2018Article
- Analysis of DNA modifications in aging research.GeroScience · 2018Review
- Chronic social stress induces DNA methylation changes at an evolutionary conserved intergenic region in chromosome X.Epigenetics · 2018Article
- Age-specific changes in genome-wide methylation enrich for Foxa2 and estrogen receptor alpha binding sites.PloS one · 2018Article
- Sexually divergent DNA methylation patterns with hippocampal aging.Aging cell · 2017Article
- Genome-wide Methyl-Seq analysis of blood-brain targets of glucocorticoid exposure.Epigenetics · 2017Article
- Reduced DNA methylation of FKBP5 in Cushing's syndrome.Endocrine · 2016Article
- Comparison of Methyl-capture Sequencing vs. Infinium 450K methylation array for methylome analysis in clinical samples.Epigenetics · 2016Article
- Developmental and environmental influences on physiology and behavior--2014 Alan N. Epstein Research Award.Physiology & behavior · 2015Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Methyl-Seq was recently developed as a targeted approach to assess DNA methylation (DNAm) at a genome-wide level in human. We adapted it for mouse and sought to examine DNAm differences across liver and 2 brain regions: cortex and hippocampus. A custom hybridization array was designed to isolate 99 Mb of CpG islands, shores, shelves, and regulatory elements in the mouse genome. This was followed by bisulfite conversion and sequencing on the Illumina HiSeq2000. The majority of differentially methylated cytosines (DMCs) were present at greater than expected frequency in introns, intergenic regions, near CpG islands, and transcriptional enhancers. Liver-specific enhancers were observed to be methylated in cortex, while cortex specific enhancers were methylated in the liver. Interestingly, commonly shared enhancers were differentially methylated between the liver and cortex. Gene ontology and pathway analysis showed that genes that were hypomethylated in the cortex and hippocampus were enriched for neuronal components and neuronal function. In contrast, genes that were hypomethylated in the liver were enriched for cellular components important for liver function. Bisulfite-pyrosequencing validation of 75 DMCs from 19 different loci showed a correlation of r = 0.87 with Methyl-Seq data. We also identified genes involved in neurodevelopment that were not previously reported to be differentially methylated across brain regions. This platform constitutes a valuable tool for future genome-wide studies involving mouse models of disease.
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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.