Evidence map›Paper›PMID 22474411›Full record

ArticleComparative and functional genomics2012

Features of methylation and gene expression in the promoter-associated CpG islands using human methylome data.

Xin Du, Leng Han, An-Yuan Guo, Zhongming Zhao

Open access · hybridAbstract read
In one paragraph

Article in Comparative and functional genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 20% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Epigenomic methylome landscape of promoters in vertebrate genomes.bioRxiv : the preprint server for biology · 2026
    Article
  5. Promoter Methylation-Expression Coupling of Gliogenesis Genes inInternational journal of molecular sciences · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. International journal of genomics · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  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

4 authors at 3 institutions in 2 countries.

Xin DuCollege of Life Sciences, Central China Normal University, Wuhan 430079, China.
Leng Han
An-Yuan Guo
Zhongming Zhao
Vanderbilt University · USCentral China Normal University · CNHuazhong University of Science and Technology · CN

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Understanding and Controlling p120 Dysfunction in CRCP50CA095103 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI COFFEY, ROBERT J. · 2002 to 2017
$33.6M
Investigating CpG islands in mammalian genomesR03LM009598 · NLM · VIRGINIA COMMONWEALTH UNIVERSITY · PI ZHAO, ZHONGMING · 2008 to 2010
$191k
NCI NIH HHS P30 CA068485NCI NIH HHS P50 CA095103NLM NIH HHS R03 LM009598
6 · The paper itself

Abstract

CpG islands are typically located in the 5' end of genes and considered as gene markers because they play important roles in gene regulation via epigenetic change. In this study, we compared the features of CpG islands identified by several major algorithms by setting the parameter cutoff values in order to obtain a similar number of CpG islands in a genome. This approach allows us to systematically compare the methylation and gene expression patterns in the identified CpG islands. We found that Takai and Jones' algorithm tends to identify longer CpG islands but with weaker CpG island features (e.g., lower GC content and lower ratio of the observed over expected CpGs) and higher methylation level. Conversely, the CpG clusters identified by Hackenberg et al.'s algorithm using stringent criteria are shorter and have stronger features and lower methylation level. In addition, we used the genome-wide base-resolution methylation profile in two cell lines to show that genes with a lower methylation level at the promoter-associated CpG islands tend to express in more tissues and have stronger expression. Our results validated that the DNA methylation of promoter-associated CpG islands suppresses gene expression at the genome level.

Identifiers

PMID22474411
PMCPMC3303704
OpenAlexW2046342816

What OpenQuestion holds

Textmetadata
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.