Evidence map›Paper›PMID 22479372›Full record

ArticlePloS one2012

Genome wide analysis of acute myeloid leukemia reveal leukemia specific methylome and subtype specific hypomethylation of repeats.

Marwa H Saied, Jacek Marzec, Sabah Khalid, Paul Smith, Thomas A Down, Vardhman K Rakyan, Gael Molloy, Manoj Raghavan, Silvana Debernardi, Bryan D Young

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.9field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Review
  3. The Role of DNA Methylation and DNA Methyltransferases in Cancer.Advances in experimental medicine and biology · 2022
    Article
  4. Article
  5. Role ofThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Methylation alteration ofOncotarget · 2019
    Article
  11. Digital PCR in Myeloid Malignancies: Ready to Replace Quantitative PCR?International journal of molecular sciences · 2019
    Review
  12. Article
  13. Article
  14. Article
  15. Region-Specific Methylation Profiling in Acute Myeloid Leukemia.Interdisciplinary sciences, computational life sciences · 2018
    Article
  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

10 authors at 3 institutions in 2 countries.

Marwa H SaiedCentre of Haemato-Oncology, Barts Cancer Institute, Barts and the London School of Medicine, Queen Mary University, London, United Kingdom.
Jacek Marzec
Sabah Khalid
Paul Smith
Thomas A Down
Vardhman K Rakyan
Gael Molloy
Manoj Raghavan
Silvana Debernardi
Bryan D Young
Queen Mary University of London · GBAlexandria University · EGWellcome Trust · GB

Funding

Cancer Research UK C6277/A6789
6 · The paper itself

Abstract

Methylated DNA immunoprecipitation followed by high-throughput sequencing (MeDIP-seq) has the potential to identify changes in DNA methylation important in cancer development. In order to understand the role of epigenetic modulation in the development of acute myeloid leukemia (AML) we have applied MeDIP-seq to the DNA of 12 AML patients and 4 normal bone marrows. This analysis revealed leukemia-associated differentially methylated regions that included gene promoters, gene bodies, CpG islands and CpG island shores. Two genes (SPHKAP and DPP6) with significantly methylated promoters were of interest and further analysis of their expression showed them to be repressed in AML. We also demonstrated considerable cytogenetic subtype specificity in the methylomes affecting different genomic features. Significantly distinct patterns of hypomethylation of certain interspersed repeat elements were associated with cytogenetic subtypes. The methylation patterns of members of the SINE family tightly clustered all leukemic patients with an enrichment of Alu repeats with a high CpG density (P<0.0001). We were able to demonstrate significant inverse correlation between intragenic interspersed repeat sequence methylation and gene expression with SINEs showing the strongest inverse correlation (R(2) = 0.7). We conclude that the alterations in DNA methylation that accompany the development of AML affect not only the promoters, but also the non-promoter genomic features, with significant demethylation of certain interspersed repeat DNA elements being associated with AML cytogenetic subtypes. MeDIP-seq data were validated using bisulfite pyrosequencing and the Infinium array.

Indexed as

DNA MethylationAcute DiseaseAdaptor Proteins, Signal TransducingCell Line, TumorCluster AnalysisCpG IslandsDipeptidyl-Peptidases and Tripeptidyl-PeptidasesGene Expression ProfilingGene Expression Regulation, LeukemicGenome, HumanGenome-Wide Association StudyHL-60 CellsHumansInhibitor of Differentiation ProteinsLeukemia, MyeloidNerve Tissue ProteinsAdaptor Proteins, Signal TransducingDipeptidyl-Peptidases and Tripeptidyl-PeptidasesDPP6 protein, humanID4 protein, humanInhibitor of Differentiation ProteinsNerve Tissue ProteinsPotassium ChannelsSPHKAP protein, human

Identifiers

PMID22479372
PMCPMC3315563
OpenAlexW2040835684

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.