Evidence map›Paper›PMID 24419148›Full record

ArticleEpigenetics2014

Fundamental diversity of human CpG islands at multiple biological levels.

Jia Zeng, Hema K Nagrajan, Soojin V Yi

Open access · hybridAbstract read
In one paragraph

Article in Epigenetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Beyond the "Dominant" and "Recessive" Patterns of Inheritance.International journal of molecular sciences · 2024
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Epigenetics of Drug Addiction.Cold Spring Harbor perspectives in medicine · 2021
    Review
  10. Article
  11. Article
  12. DNA methylation of intragenic CpG islands depends on their transcriptional activity during differentiation and disease.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  13. Article
  14. Epigenetic dysfunctional diseases and therapy for infection and inflammation.Biochimica et biophysica acta. Molecular basis of disease · 2017
    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

3 authors at 2 institutions in 1 country.

Jia ZengSchool of Biology; Georgia Institute of Technology; Atlanta, GA USA.
Hema K NagrajanSchool of Biology; Georgia Institute of Technology; Atlanta, GA USA.
Soojin V YiSchool of Biology; Georgia Institute of Technology; Atlanta, GA USA.
Georgia Institute of Technology · USAID Atlanta · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CpG islands (CGIs) are commonly used as genomic markers to study the patterns and regulatory consequences of DNA methylation. Interestingly, recent studies reveal a substantial diversity among CGIs: long and short CGIs, for example, exhibit contrasting patterns of gene expression complexity and nucleosome occupancy. Evolutionary origins of CGIs are also highly heterogeneous. In order to systematically evaluate potential diversities among CGIs and ultimately to illuminate the link between diversity of CGIs and their epigenetic variation, we analyzed the nucleotide-resolution DNA methylation maps (methylomes) of multiple cellular origins. We discover novel 'clusters' of CGIs according to their patterns of DNA methylation; the stably hypomethylated CGI cluster (cluster I), sperm-hypomethylated CGI cluster (cluster II), and variably methylated CGI cluster (cluster III). These epigenomic CGI clusters are strikingly distinct at multiple biological features including genomic, evolutionary, and functional characteristics. At the genomic level, the stably hypomethylated CGI cluster tends to be longer and harbors many more CpG dinucleotides than those in other clusters. They are also frequently associated with promoters, while CGI clusters II and III mostly reside in intragenic or intergenic regions and exhibit highly tissue-specific DNA methylation. Functional ontology terms and transcriptional profiles co-vary with CGI clusters, indicating that the regulatory functions of CGIs are tightly linked to their heterogeneity. Finally, CGIs associated with distinctive biological processes, such as diseases, aging, and imprinting, occur disproportionately across CGI clusters. These new findings provide an effective means to combine existing knowledge on CGIs into a genomic context while bringing new insights that elucidate the significance of DNA methylation across different biological conditions and demography.

Indexed as

CpG IslandsGenetic HeterogeneityAgingDNA MethylationEpigenesis, GeneticEvolution, MolecularGenome, HumanGenomic ImprintingHumansNeoplasmsagingcancerCpG IslandsDNA methylationgene ontologywhole genome methylation maps

Identifiers

PMID24419148
PMCPMC4121359
OpenAlexW2016146878

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.