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Estimating DNA methylation heterogeneity in bisulfite sequencing data

ABSTRACT: We extended the mathematical models of measuring biodiversity to estimate DNA methylation heterogeneity in a cell population. We propose a model-based approach (abundance-based, phylogeny-based and pairwise similarity-based heterogeneity) and consider similarity in DNA methylation patterns from individual cells to evaluate heterogeneity that overcomes biases due to missing data. We also applied commonly used non-model based method (methylation entropy) and other reported methods of estimating methylation heterogeneity such as single-cell based approach to evaluate methylation heterogeineity.

ORGANISM(S): Homo sapiens

PROVIDER: GSE103859 | GEO | 2017/09/15

SECONDARY ACCESSION(S): PRJNA407317

REPOSITORIES: GEO

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Project description:Interplanetary human spaceflight represents a formidable medical challenge, but also provides a unique platform for investigating human adaptation to extreme environmental changes. Understanding the long-term effects of isolation has relevance in a range of scenarios and it is well recognized that a better understanding of the relationship between environmental exposure and the epigenome can lead to more effective preventive measures. Here we conduct a longitudinal epigenetic, mood state and biochemical profiling of 6 crew members in an experiment simulating a 520-day mission to Mars. Illumina HumanMethylation450 BeadChip was used to obtain DNA methylation profiles. Firstly, we found that long-term isolation can induce global DNA methylation remodeling, and this change seems to be an active adaptation (rather than a random process or a by-product of the isolation). This study is the first to demonstrate the dynamic relationship between global epigenetic remodeling and isolation-induced mood state and biochemical changes. Secondly, by considering the location of methylation sites within the genome and using gene-pathway annotation, we were able to identify pathways that were significantly enriched in methylation events and consider their association with specific function and the timeline of the mission. Thirdly, via our definition of epi-entropy, a measure of entropy adapted to methylation events, we observed that the methylation remodeling produced a marked reduction in epi-entropy. Results suggest that DNA methylation change is an indicator of change rather than its by-product, i.e., there is a psychology-epigenome-metabolism model of long-term depression; DNA methylation programs the environment signal into the epigenome, which is subsequently transformed into the biochemical output and health outcome. Thus, longitudinal epigenetic profiling could code the effect of isolation and act as early indicators of latent health outcome. A longitudinal epigenetic, mood state and biochemical profiling of 6 crew members in an experiment simulating a 520-day mission to Mars. 36 samples of blood cell DNA methylation profiling were obtained by Illumina HumanMethylation450 BeadChip, across 6 sampling points during the 520 days mission for all of the 6 crew members.

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Estimating DNA methylation heterogeneity in bisulfite sequencing data

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