Evidence map›Paper›PMID 25881900›Full record

ArticleEpigenomics2015

MIRA-seq for DNA methylation analysis of CpG islands.

Marc Jung, Swati Kadam, Wenying Xiong, Tibor A Rauch, Seung-Gi Jin, Gerd P Pfeifer

Abstract read
In one paragraph

Article in Epigenomics, 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
–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

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.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. A Comparative Overview of Epigenomic Profiling Methods.Frontiers in cell and developmental biology · 2021
    Review
  7. Article
  8. Article
  9. Chromatin Binding ofFrontiers in immunology · 2018
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. 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

6 authors.

Marc JungBeckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Swati KadamBeckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Wenying XiongBeckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Tibor A RauchDepartment of Orthopedic Surgery, Rush University Medical Center, Chicago, IL 60612, USA.
Seung-Gi JinBeckman Research Institute, City of Hope, Duarte, CA 91010, USA.
Gerd P PfeiferBeckman Research Institute, City of Hope, Duarte, CA 91010, USA.

Funding

CPG METHYLATION AND MUTATIONR01CA084469 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI PFEIFER, GERD P · 2000 to 2013
$4.0M
Aging and the unstable epigenomeR01AG036041 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI PFEIFER, GERD P · 2009 to 2013
$2.0M
5-hydroxymethylcytosine in human cancerR01CA160965 · NCI · VAN ANDEL RESEARCH INSTITUTE · PI PFEIFER, GERD P · 2012 to 2017
$1.8M
NCI NIH HHS CA084469NCI NIH HHS CA160965NCI NIH HHS R01 CA084469NCI NIH HHS R01 CA160965NIA NIH HHS AG036041NIA NIH HHS R01 AG036041
6 · The paper itself

Abstract

aimTo develop a reliable method for whole genome analysis of DNA methylation. MATERIALS &

methodsGenome-scale analysis of DNA methylation includes affinity-based approaches such as enrichment using methyl-CpG-binding proteins. One of these methods, the methylated-CpG island recovery assay (MIRA), is based on the high affinity of the MBD2b-MBD3L1 complex for CpG-methylated DNA. Here we provide a detailed description of MIRA and combine it with next generation sequencing platforms (MIRA-seq).

resultsWe assessed the performance of MIRA-seq and compared the data with whole genome bisulfite sequencing.

conclusionMIRA-seq is a reliable, genome-scale DNA methylation analysis platform for scoring DNA methylation differences at CpG-rich genomic regions. The method is not limited by primer or probe design and is cost effective.

Indexed as

DNA MethylationCell LineCpG IslandsEpigenomicsFibroblastsGenome, HumanHigh-Throughput Nucleotide SequencingHumansModels, GeneticReproducibility of ResultsCpG islandsDNA methylationhigh-throughput sequencingmethylated-CpG island recovery assaymethyl-CpG-binding protein

Identifiers

PMID25881900
PMCPMC4607651

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LicenceCC BY-NC-ND
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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.