ArticlePloS one2013
Characterizing genes with distinct methylation patterns in the context of protein-protein interaction network: application to human brain tissues.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Pediatric Pan-Central Nervous System Tumor Methylome Analyses Reveal Immune-Related LncRNAs.Frontiers in immunology · 2022Article
- Editorial: DNA Methylation Dynamics and Human Diseases.Frontiers in cell and developmental biology · 2022Article
- Pan-Cancer Methylated Dysregulation of Long Non-coding RNAs Reveals Epigenetic Biomarkers.Frontiers in cell and developmental biology · 2022Article
- Shared Molecular Mechanisms between Alzheimer's Disease and Periodontitis Revealed by Transcriptomic Analysis.BioMed research international · 2021Article
- Identifying and Validating Genes with DNA Methylation Data in the Context of Biological Network for Chinese Patients with Graves' Orbitopathy.International journal of endocrinology · 2019Article
- De novo pathway-based biomarker identification.Nucleic acids research · 2017Article
- Extensive ceRNA-ceRNA interaction networks mediated by miRNAs regulate development in multiple rhesus tissues.Nucleic acids research · 2016Article
- Structural bioinformatics of the interactome.Annual review of biophysics · 2014Review
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Authors and funding
11 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDNA methylation is an essential epigenetic mechanism involved in transcriptional control. However, how genes with different methylation patterns are assembled in the protein-protein interaction network (PPIN) remains a mystery.
resultsIn the present study, we systematically dissected the characterization of genes with different methylation patterns in the PPIN. A negative association was detected between the methylation levels in the brain tissues and topological centralities. By focusing on two classes of genes with considerably different methylation levels in the brain tissues, namely the low methylated genes (LMGs) and high methylated genes (HMGs), we found that their organizing principles in the PPIN are distinct. The LMGs tend to be the center of the PPIN, and attacking them causes a more deleterious effect on the network integrity. Furthermore, the LMGs express their functions in a modular pattern and substantial differences in functions are observed between the two types of genes. The LMGs are enriched in the basic biological functions, such as binding activity and regulation of transcription. More importantly, cancer genes, especially recessive cancer genes, essential genes, and aging-related genes were all found more often in the LMGs. Additionally, our analysis presented that the intra-classes communications are enhanced, but inter-classes communications are repressed. Finally, a functional complementation was revealed between methylation and miRNA regulation in the human genome.
conclusionsWe have elucidated the assembling principles of genes with different methylation levels in the context of the PPIN, providing key insights into the complex epigenetic regulation mechanisms.
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