ArticleFrontiers in genetics2016
Epigenetic DNA Methylation Profiling with MSRE: A Quantitative NGS Approach Using a Parkinson's Disease Test Case.
Article in Frontiers in genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Community structure and methylation of microbes in an artificially forced sediment core.Microbiology spectrum · 2026Article
- Review
- Modelling the Human Blood-Brain Barrier in Huntington Disease.International journal of molecular sciences · 2022Article
- Identifying Key MicroRNA Signatures for Neurodegenerative Diseases With Machine Learning Methods.Frontiers in genetics · 2022Article
- Rapid COVID-19 Prognostic Blood Test for Disease Severity Using Epigenetic Immune System Biomarkers.Delaware journal of public health · 2020Article
- Genome-wide brain DNA methylation analysis suggests epigenetic reprogramming in Parkinson disease.Neurology. Genetics · 2019Article
- Cytosine Methylation Within Marine Sediment Microbial Communities: Potential Epigenetic Adaptation to the Environment.Frontiers in microbiology · 2019Article
- Epigenetic machine learning: utilizing DNA methylation patterns to predict spastic cerebral palsy.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epigenetics is a rapidly developing field focused on deciphering chemical fingerprints that accumulate on human genomes over time. As the nascent idea of precision medicine expands to encompass epigenetic signatures of diagnostic and prognostic relevance, there is a need for methodologies that provide high-throughput DNA methylation profiling measurements. Here we report a novel quantification methodology for computationally reconstructing site-specific CpG methylation status from next generation sequencing (NGS) data using methyl-sensitive restriction endonucleases (MSRE). An integrated pipeline efficiently incorporates raw NGS metrics into a statistical discrimination platform to identify functional linkages between shifts in epigenetic DNA methylation and disease phenotypes in samples being analyzed. In this pilot proof-of-concept study we quantify and compare DNA methylation in blood serum of individuals with Parkinson's Disease relative to matched healthy blood profiles. Even with a small study of only six samples, a high degree of statistical discrimination was achieved based on CpG methylation profiles between groups, with 1008 statistically different CpG sites (
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Registered trials
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