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      24-Hour Rhythms of DNA Methylation and Their Relation with Rhythms of RNA Expression in the Human Dorsolateral Prefrontal Cortex

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          Abstract

          Circadian rhythms modulate the biology of many human tissues, including brain tissues, and are driven by a near 24-hour transcriptional feedback loop. These rhythms are paralleled by 24-hour rhythms of large portions of the transcriptome. The role of dynamic DNA methylation in influencing these rhythms is uncertain. While recent work in Neurospora suggests that dynamic site-specific circadian rhythms of DNA methylation may play a role in modulating the fungal molecular clock, such rhythms and their relationship to RNA expression have not, to our knowledge, been elucidated in mammalian tissues, including human brain tissues. We hypothesized that 24-hour rhythms of DNA methylation exist in the human brain, and play a role in driving 24-hour rhythms of RNA expression. We analyzed DNA methylation levels in post-mortem human dorsolateral prefrontal cortex samples from 738 subjects. We assessed for 24-hour rhythmicity of 420,132 DNA methylation sites throughout the genome by considering methylation levels as a function of clock time of death and parameterizing these data using cosine functions. We determined global statistical significance by permutation. We then related rhythms of DNA methylation with rhythms of RNA expression determined by RNA sequencing. We found evidence of significant 24-hour rhythmicity of DNA methylation. Regions near transcription start sites were enriched for high-amplitude rhythmic DNA methylation sites, which were in turn time locked to 24-hour rhythms of RNA expression of nearby genes, with the nadir of methylation preceding peak transcript expression by 1–3 hours. Weak ante-mortem rest-activity rhythms were associated with lower amplitude DNA methylation rhythms as were older age and the presence of Alzheimer's disease. These findings support the hypothesis that 24-hour rhythms of DNA methylation, particularly near transcription start sites, may play a role in driving 24-hour rhythms of gene expression in the human dorsolateral prefrontal cortex, and may be affected by age and Alzheimer's disease.

          Author Summary

          Circadian rhythms are intrinsic 24-hour biological rhythms that influence many aspects of human biology, including normal and abnormal human brain functions such as cognition and seizures. Circadian rhythms are maintained by a near 24-hour feedback loop mediated by a series of “clock” genes that are similar across species, including humans. However, the specific mechanisms underlying the circadian regulation of gene transcription are unknown. DNA methylation is an epigenetic mechanism that can influence gene expression without changes in DNA sequence. The 24-hour rhythms of DNA methylation are one mechanism contributing to 24-hour rhythms of clock gene expression in fungi. However, this has not been demonstrated in mammals including humans. In this study, we examined levels of DNA methylation at>400,000 sites across the genome in the brains of 738 human subjects and showed significant 24-hour rhythms of DNA methylation. Moreover, we showed that for specific locations of DNA methylation site, these rhythms of methylation were linked to rhythms of gene expression. This is important because it suggests that circadian rhythms of DNA methylation may be an important mechanism underlying circadian rhythms of gene expression in the human brain, and hence circadian rhythms of normal and abnormal brain function.

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          The genetics of mammalian circadian order and disorder: implications for physiology and disease.

          Circadian cycles affect a variety of physiological processes, and disruptions of normal circadian biology therefore have the potential to influence a range of disease-related pathways. The genetic basis of circadian rhythms is well studied in model organisms and, more recently, studies of the genetic basis of circadian disorders has confirmed the conservation of key players in circadian biology from invertebrates to humans. In addition, important advances have been made in understanding how these molecules influence physiological functions in tissues throughout the body. Together, these studies set the scene for applying our knowledge of circadian biology to the understanding and treatment of a range of human diseases, including cancer and metabolic and behavioural disorders.
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            Overview and findings from the rush Memory and Aging Project.

            The Memory and Aging Project is a longitudinal, epidemiologic clinical-pathologic cohort study of common chronic conditions of aging with an emphasis on decline in cognitive and motor function and risk of Alzheimer's disease (AD). In this manuscript, we first summarize the study design and methods. Then, we present data on: (1) the relation of motor function to cognition, disability, and death; (2) the relation of risk factors to cognitive and motor outcomes, disability and death; (3) the relation of neuropathologic indices to cognitive outcomes; (4) the relation of risk factors to neuropathologic indices; and (5) additional study findings. The findings are discussed and contextualized.
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              • Article: not found

              Comprehensive comparative analysis of strand-specific RNA sequencing methods

              Strand-specific, massively-parallel cDNA sequencing (RNA-Seq) is a powerful tool for novel transcript discovery, genome annotation, and expression profiling. Despite multiple published methods for strand-specific RNA-Seq, no consensus exists as to how to choose between them. Here, we developed a comprehensive computational pipeline to compare library quality metrics from any RNA-Seq method. Using the well-annotated Saccharomyces cerevisiae transcriptome as a benchmark, we compared seven library construction protocols, including both published and our own novel methods. We found marked differences in strand-specificity, library complexity, evenness and continuity of coverage, agreement with known annotations, and accuracy for expression profiling. Weighing each method’s performance and ease, we identify the dUTP second strand marking and the Illumina RNA ligation methods as the leading protocols, with the former benefitting from the current availability of paired-end sequencing. Our analysis provides a comprehensive benchmark, and our computational pipeline is applicable for assessment of future protocols in other organisms.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                November 2014
                6 November 2014
                : 10
                : 11
                : e1004792
                Affiliations
                [1 ]Division of Neurology, Department of Medicine, Sunnybrook Health Sciences Centre, University of Toronto, Toronto, Ontario, Canada
                [2 ]Program in Translational Neuropsychiatric Genomics, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
                [3 ]Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
                [4 ]Rush Alzheimer Disease Center and Department of Neurological Sciences, Rush University, Chicago, Illinois, United States of America
                [5 ]Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, Florida, United States of America
                Roslin Institute and Royal (Dick) School of Veterinary Studies, United Kingdom
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: ASPL DAB PLDJ JX. Performed the experiments: GPS JAS DAB PLDJ JX. Analyzed the data: ASPL GPS LY LBC JX. Contributed reagents/materials/analysis tools: ASPL GPS LY LBC JAS AJM DAB PLDJ. Wrote the paper: ASPL GPS LY LBC ASB JAS AJM DAB PLDJ.

                Article
                PGENETICS-D-14-01196
                10.1371/journal.pgen.1004792
                4222754
                25375876
                042bdc70-6fb2-41b2-a8e1-cbf912ec098b
                Copyright @ 2014

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 30 April 2014
                : 1 October 2014
                Page count
                Pages: 14
                Funding
                This research was supported in part by National Institutes of Health ( www.nih.gov) grants P30AG10161 (DAB) R01AG15819 (DAB) R01AG17917 (DAB) R01AG36042 (DAB) R01AG36836 (PLDJ), R01NS078009 (ASB), R0AG04337 (ASB), R01AG034504 (AJM), R01AG041232 (AJM), U01AG046152 (PLDJ) and Canadian Institutes of Health Research ( www.cihr-irsc.gc.ca) grants MOP125934 (ASPL) and MMC112692 (ASPL). Computations were performed on the General Purpose Cluster supercomputer at the SciNet HPC Consortium. SciNet is funded by: the Canada Foundation for Innovation ( www.innovation.ca) under the auspices of Compute Canada; the Government of Ontario ( www.ontario.ca); Ontario Research Fund - Research Excellence ( http://www.ontario.ca/business-and-economy/ontario-research-fund-research-excellence); and the University of Toronto ( www.utoronto.ca). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and life sciences
                Anatomy
                Brain
                Cerebral Cortex
                Entorhinal Cortex
                Neocortex
                Biochemistry
                DNA
                DNA modification
                DNA methylation
                Circadian Oscillators
                Chronobiology
                Circadian Rhythms
                Computational Biology
                Genome Analysis
                Transcriptome Analysis
                Serial Analysis of Gene Expression
                Genetics
                Gene Expression
                Genomics
                Medicine and Health Sciences
                Physical Sciences
                Mathematics
                Discrete Mathematics
                Combinatorics
                Permutation
                Statistics (Mathematics)
                Statistical Methods
                Time Series Analysis
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. The data are publicly available. They can be obtained by request via an online request tool, which can be found at http://www.rush.edu/radc.

                Genetics
                Genetics

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