Evidence map›Paper›PMID 20218736›Full record

ReviewTechnology in cancer research & treatment2010

Profiling DNA methylomes from microarray to genome-scale sequencing.

Yi-Wei Huang, Tim H-M Huang, Li-Shu Wang

Open access · bronzeAbstract readReview
In one paragraph

Review in Technology in cancer research & treatment, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

29 citing papers in PubMed, 80 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. DNA methylation markers in the detection of hepatocellular carcinoma.European journal of cancer (Oxford, England : 1990) · 2023
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Methyl-binding DNA capture Sequencing for Patient Tissues.Journal of visualized experiments : JoVE · 2016
    Article
  15. Methylation analyses in liquid biopsy.Translational lung cancer research · 2016
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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

3 authors at 1 institution in 1 country.

Yi-Wei HuangThe Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA. Yi-wen.huang@osumc.edu
Tim H-M Huang
Li-Shu Wang
The Ohio State University · US

Funding

Predicting Drug Resistance in Cancer Genomes by DMA Methylation ProfilingU54CA113001 · NCI · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI HUANG, TIM H.-M. · 2004 to 2014
$16.1M
Mechanisms of tumor suppressor gene reactivation in colon cancer by berriesR01CA148818 · NCI · OHIO STATE UNIVERSITY · PI WANG, LI-SHU · 2010 to 2014
$1.5M
NCI NIH HHS R01 CA148818NCI NIH HHS U54 CA113001
6 · The paper itself

Abstract

DNA cytosine methylation is a central epigenetic modification which plays critical roles in cellular processes including genome regulation, development and disease. Here, we review current and emerging microarray and next-generation sequencing based technologies that enhance our knowledge of DNA methylation profiling. Each methodology has limitations and their unique applications, and combinations of several modalities may help build the entire methylome. With advances on next-generation sequencing technologies, it is now possible to globally map the DNA cytosine methylation at single-base resolution, providing new insights into the regulation and dynamics of DNA methylation in genomes.

Indexed as

Epigenesis, GeneticAnimalsDNA MethylationHumansOligonucleotide Array Sequence Analysis

Identifiers

PMID20218736
PMCPMC3011833
OpenAlexW2154242091

What OpenQuestion holds

Textmetadata
LicenceTDM
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.