Evidence map›Paper›PMID 25985232›Full record

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.

Benjamin Hing, Enrique Ramos, Patricia Braun, Melissa McKane, Dubravka Jancic, Kellie L K Tamashiro, Richard S Lee, Jacob J Michaelson, Todd E Druley, James B Potash

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

10 authors at 4 institutions in 1 country.

Benjamin Hinga Department of Psychiatry; University of Iowa Carver College of Medicine ; Iowa City , IA , USA.
Enrique Ramos
Patricia Braun
Melissa McKane
Dubravka Jancic
Kellie L K Tamashiro
Richard S Lee
Jacob J Michaelson
Todd E Druley
James B Potash
University of Iowa · USUniversity of Missouri–St. Louis · USJohns Hopkins Medicine · USUniversity of Baltimore · US

Funding

AGE AND TISSUE-SPECIFIC CHANGES IN GENOME-WIDE MAMMALIAN METHYLATIONF31HG006649 · NHGRI · WASHINGTON UNIVERSITY · PI RAMOS, ENRIQUE IVAN · 2012 to 2015
$102k
NHGRI NIH HHS F31 HG006649
6 · The paper itself

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.

Indexed as

DNA MethylationGenomeAnimalsBrainCpG IslandsCytidineEnhancer Elements, GeneticEntorhinal CortexHigh-Throughput Nucleotide SequencingHippocampusLiverMice, Inbred C57BLOrgan SpecificitySulfites5-methylcytidineCytidinehydrogen sulfiteSulfitesApcdd1, Adenomatous Polyposis Coli Down-Regulated 1brainChIP, Chromatin immunoprecipitationDMCs, Differentially methylated cytosines (DMCs)DMRs, Differentially methylated regionsDNAm, DNA methylationDNA methylationepigeneticsFDR, False discovery rateGb, Gigabasesgenome-wideGFAP, Glial fibrillary acidic proteinGO, Gene ontologyH3K27ac, Histone 3 lysine 27 acetylationH3K4me1, Histone marks histone 3 lysine 4 monomethylationKEGG, Kyoto Encyclopedia of Genes and GenomesMAP, Mitogen activated proteinmethylation arrayMsx1, msh homeobox1PAVIS, Peak Annotation and VisualizationRV, Range of variationTFBS, Transcription factor binding sitesUTR, Untranslated regions.

Identifiers

PMID25985232
PMCPMC4622595
OpenAlexW1678472442

What OpenQuestion holds

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Registered trials

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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.