Evidence map›Paper›PMID 20596539›Full record

ArticlePloS one2010

Genome-wide divergence of DNA methylation marks in cerebral and cerebellar cortices.

Yurong Xin, Benjamin Chanrion, Meng-Min Liu, Hanga Galfalvy, Ramiro Costa, Boro Ilievski, Gorazd Rosoklija, Victoria Arango, Andrew J Dwork, J John Mann and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  4. CNS-wide Sexually Dimorphic Induction of the Major Histocompatibility Complex 1 Pathway With Aging.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
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  11. Epigenetic Alterations in Alzheimer's Disease.Frontiers in behavioral neuroscience · 2015
    Review
  12. The molecular bases of the suicidal brain.Nature reviews. Neuroscience · 2014
    Review
  13. The Genetics, Neurogenetics and Pharmacogenetics of Addiction.Current behavioral neuroscience reports · 2014
    Article
  14. Cellular commitment in the developing cerebellum.Frontiers in cellular neuroscience · 2014
    Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors at 4 institutions in 2 countries.

Yurong XinDepartment of Psychiatry, Columbia University and The New York State Psychiatric Institute, New York, New York, United States of America.
Benjamin Chanrion
Meng-Min Liu
Hanga Galfalvy
Ramiro Costa
Boro Ilievski
Gorazd Rosoklija
Victoria Arango
Andrew J Dwork
J John Mann
Benjamin Tycko
Fatemeh Haghighi
Columbia University · USNew York Psychoanalytic Society and Institute · USNew York State Psychiatric InstituteSaints Cyril and Methodius University of Skopje · MK

Funding

Golgi Studies of SchizophreniaR01MH064168 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI DWORK, ANDREW J · 2001 to 2013
$4.3M
PSYCHOBIOLOGICAL PREDICTORS OF SUICIDAL BEHAVIOR IN MDER01MH048514 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI OQUENDO, MARIA A · 1992 to 2013
$3.6M
Myelin Pathology in SchizophreniaR01MH060877 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI DWORK, ANDREW J · 1999 to 2011
$2.4M
An Integrated Framework of Epigenomics and Human DiseaseK22HG002915 · NHGRI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HAGHIGHI, FATEMEH G · 2005 to 2009
$1.2M
NHGRI NIH HHS HG002915NHGRI NIH HHS K22 HG002915NIMH NIH HHS MH048514NIMH NIH HHS R01 MH048514NIMH NIH HHS R01 MH060877NIMH NIH HHS R01 MH064168
6 · The paper itself

Abstract

backgroundEmerging evidence suggests that DNA methylation plays an expansive role in the central nervous system (CNS). Large-scale whole genome DNA methylation profiling of the normal human brain offers tremendous potential in understanding the role of DNA methylation in brain development and function. METHODOLOGY/SIGNIFICANT

findingsUsing methylation-sensitive SNP chip analysis (MSNP), we performed whole genome DNA methylation profiling of the prefrontal, occipital, and temporal regions of cerebral cortex, as well as cerebellum. These data provide an unbiased representation of CpG sites comprising 377,509 CpG dinucleotides within both the genic and intergenic euchromatic region of the genome. Our large-scale genome DNA methylation profiling reveals that the prefrontal, occipital, and temporal regions of the cerebral cortex compared to cerebellum have markedly different DNA methylation signatures, with the cerebral cortex being hypermethylated and cerebellum being hypomethylated. Such differences were observed in distinct genomic regions, including genes involved in CNS function. The MSNP data were validated for a subset of these genes, by performing bisulfite cloning and sequencing and confirming that prefrontal, occipital, and temporal cortices are significantly more methylated as compared to the cerebellum.

conclusionsThese findings are consistent with known developmental differences in nucleosome repeat lengths in cerebral and cerebellar cortices, with cerebrum exhibiting shorter repeat lengths than cerebellum. Our observed differences in DNA methylation profiles in these regions underscores the potential role of DNA methylation in chromatin structure and organization in CNS, reflecting functional specialization within cortical regions.

Indexed as

DNA MethylationGenome, HumanCerebral CortexCpG IslandsHumans

Identifiers

PMID20596539
PMCPMC2893206
OpenAlexW2075812173

What OpenQuestion holds

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LicenceCC BY
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.