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Updated: Jun 24, 2026
08:38
Targeted DNA Methylation Analysis by Next-generation Sequencing
Published on: February 24, 2015
CpG island methylation pattern in different human tissues and its correlation with gene expression
1School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.
Biochemical and Biophysical Research Communications
|April 15, 2009
Summary
Human DNA methylation patterns in sperm are distinct from somatic tissues, despite correlations among somatic cells. Promoter CpG island methylation did not correlate with gene expression across tissues.
Area of Science:
- Epigenetics
- Genomics
- Human Biology
Background:
- DNA methylation patterns are crucial for cellular function and development.
- Understanding tissue-specific DNA methylation is important for various biological processes.
- A systematic comparison of CpG island methylation between human somatic tissues and gametocytes is lacking.
Purpose of the Study:
- To analyze and compare CpG island methylation patterns in human sperm and 11 somatic tissues.
- To investigate the correlation of methylation profiles between different human tissues.
- To examine the relationship between promoter CpG island methylation and gene expression across tissues.
Main Methods:
- Utilized CpG island methylation data from the Human Epigenome Project.
- Compared methylation profiles of sperm with 11 different somatic tissues.
- Analyzed the correlation between promoter CpG island methylation levels and gene expression in six tissues.
Main Results:
- CpG island methylation profiles showed high correlation among somatic tissues.
- The methylation profile of sperm was found to be distinct from somatic tissues.
- No clear correlation was observed between promoter CpG island methylation and gene expression in the investigated tissues.
Conclusions:
- Human somatic tissues share similar CpG island methylation patterns.
- Sperm exhibits a unique DNA methylation profile compared to somatic tissues.
- Promoter CpG island methylation levels do not consistently predict gene expression across different human tissues.
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