Evidence map›Paper›PMID 25602802›Full record

ArticleEpigenetics2015

Semiconductor-based sequencing of genome-wide DNA methylation states.

Michael J Corley, Wei Zhang, Xin Zheng, Annette Lum-Jones, Alika K Maunakea

Open access · hybridAbstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Michael J Corleya Department of Native Hawaiian Health; John A. Burns School of Medicine ; University of Hawaii ; Honolulu , HI USA.
Wei Zhang
Xin Zheng
Annette Lum-Jones
Alika K Maunakea
University of Hawaii System · USUniversity of Hawaiʻi at Mānoa · US

Funding

RESEARCH DESIGN AND BIOSTATISTICS COREU54MD007584 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI MOKUAU, NOREEN, SHIRAMIZU, BRUCE T · 2012 to 2018
$21.1M
RESEARCH DESIGN, BIOSTATISTICS AND RESEARCH ETHICS COREG12MD007601 · NIMHD · UNIVERSITY OF HAWAII AT MANOA · PI BERRY, MARLA J · 2012 to 2016
$13.0M
Transgenic Mouse, ICSI and IVF CoreP20GM103457 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI MAUNAKEA, ALIKA KEOLAOKALANI · 2012 to 2018
$12.9M
Pilot Project ProgramP30GM103341 · NIGMS · UNIVERSITY OF HAWAII AT MANOA · PI SHOHET, RALPH V. · 2012 to 2016
$5.5M
Identifying Epigenetic Biomarkers of Cardiovascular Disease Risk In HumansK01HL125504 · NHLBI · UNIVERSITY OF HAWAII AT MANOA · PI MAUNAKEA, ALIKA KEOLAOKALANI · 2015 to 2018
$655k
NHLBI NIH HHS K01 HL125504NIGMS NIH HHS 1P30GM103341NIGMS NIH HHS P20 GM103457NIGMS NIH HHS P20GM103457NIMHD NIH HHS G12MD007601NIMHD NIH HHS U54 MD007584NIMHD NIH HHS U54MD007584
6 · The paper itself

Abstract

Methylated DNA immunoprecipitation sequencing (MeDIP-Seq) is a widely used approach to study DNA methylation genome-wide. Here, we developed a MeDIP-Seq protocol compatible with the Ion Torrent semiconductor-based sequencing platform that is low cost, rapid, and scalable. We applied this protocol to demonstrate MeDIP-Seq on the Ion Torrent platform provides adequate coverage of CpG cytosines, the methylation states of which we validated at single-base resolution on the Infinium HumanMethylation450 BeadChip array, and accurately identifies sites of differential DNA methylation. Furthermore, we applied an integrative approach to further investigate and confirm the role of DNA methylation in alternative splicing and to profile 5mC and 5hmC variants of DNA methylation in normal human brain tissue that is localized over distinct genomic regions. These applications of MeDIP-Seq on the Ion Torrent platform have broad utility and add to the current methodologies for profiling genome-wide DNA methylation states in normal and disease conditions.

Indexed as

DNA MethylationGenomeSemiconductorsDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BHCT116 CellsHumansRNA SplicingSequence Analysis, DNADNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BbrainDNA methylationHCT116hydroxymethylationIon Torrent sequencingsplicing

Identifiers

PMID25602802
PMCPMC4622511
OpenAlexW1483345224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.