ArticleMolecular biology reports2012
Revealing epigenetic patterns in gene regulation through integrative analysis of epigenetic interaction network.
Article in Molecular biology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The C161T polymorphism in the peroxisome proliferator-activated receptor gamma gene (PPARγ) is associated with risk of coronary artery disease: a meta-analysis.Molecular biology reports · 2013Pooled it
- TriPCE: A Novel Tri-Clustering Algorithm for Identifying Pan-Cancer Epigenetic Patterns.Frontiers in genetics · 2019Article
- Transcription factor-associated combinatorial epigenetic pattern reveals higher transcriptional activity of TCF7L2-regulated intragenic enhancers.BMC genomics · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chromatin components and DNA methylation play important roles in regulation of gene expression in mammalian genomes. However, the mechanism underlying how they regulate gene transcription, independently or synergistically, remains largely unknown. We constructed an epigenetic interaction network (EIN) of chromatin components, DNA methylation and gene expression by combining partial correlation coefficient with Pearson correlation coefficient. In EIN, we identified nine direct factors for gene expression. They constitute three interaction modules which synergistically affect gene expression. We introduced a new combination strategy to test how these direct factors in each module regulate gene expression synergistically. We found two inter-attracted patterns and one inter-repulsed patterns among the three modules. Furthermore, we identified 22 indirect factors for gene expression which have effect on gene expression via direct factors. DNA methylation, for example, could regulate gene expression through H3K4me3 and Pol II. Our approach has the potential to help in uncovering inherent relationships between epigenetic factors and gene transcription and guiding experiment.
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21625856What OpenQuestion holds
Registered trials
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.