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      Demethylation and derepression of genomic retroelements in the skeletal muscles of aged mice

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          Abstract

          Changes in DNA methylation influence the aging process and contribute to aging phenotypes, but few studies have been conducted on DNA methylation changes in conjunction with skeletal muscle aging. We explored the DNA methylation changes in a variety of retroelement families throughout aging (at 2, 20, and 28 months of age) in murine skeletal muscles by methyl‐binding domain sequencing (MBD‐seq). The two following contrasting patterns were observed among the members of each repeat family in superaged mice: (a) hypermethylation in weakly methylated retroelement copies and (b) hypomethylation in copies with relatively stronger methylation levels, representing a pattern of “regression toward the mean” within a single retroelement family. Interestingly, these patterns depended on the sizes of the copies. While the majority of the elements showed a slight increase in methylation, the larger copies (>5 kb) displayed evident demethylation. All these changes were not observed in T cells. RNA sequencing revealed a global derepression of retroelements during the late phase of aging (between 20 and 28 months of age), which temporally coincided with retroelement demethylation. Following this methylation drift trend of “regression toward the mean,” aging tended to progressively lose the preexisting methylation differences and local patterns in the genomic regions that had been elaborately established during the early period of development.

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          High density DNA methylation array with single CpG site resolution.

          We have developed a new generation of genome-wide DNA methylation BeadChip which allows high-throughput methylation profiling of the human genome. The new high density BeadChip can assay over 480K CpG sites and analyze twelve samples in parallel. The innovative content includes coverage of 99% of RefSeq genes with multiple probes per gene, 96% of CpG islands from the UCSC database, CpG island shores and additional content selected from whole-genome bisulfite sequencing data and input from DNA methylation experts. The well-characterized Infinium® Assay is used for analysis of CpG methylation using bisulfite-converted genomic DNA. We applied this technology to analyze DNA methylation in normal and tumor DNA samples and compared results with whole-genome bisulfite sequencing (WGBS) data obtained for the same samples. Highly comparable DNA methylation profiles were generated by the array and sequencing methods (average R2 of 0.95). The ability to determine genome-wide methylation patterns will rapidly advance methylation research. Copyright © 2011 Elsevier Inc. All rights reserved.
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            Epigenetics and aging

            Researchers review how random changes and our environment (for example, diet) determines our life span.
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              Decline in genomic DNA methylation through aging in a cohort of elderly subjects.

              Loss of genomic DNA methylation has been found in a variety of common human age-related diseases. Whether DNA methylation decreases over time as individuals age is unresolved. We measured DNA methylation in 1097 blood DNA samples from 718 elderly subjects between 55 and 92 years of age (1-3 samples/subjects), who have been repeatedly evaluated over an 8-year time span in the Boston area Normative Aging Study. DNA methylation was measured using quantitative PCR-Pyrosequencing analysis in Alu and LINE-1 repetitive elements, heavily methylated sequences with high representation throughout the human genome. Age at the visit was negatively associated with Alu element methylation (beta=-0.12 %5mC/year, p=0.0005). A weaker association was observed with LINE-1 elements (beta=-0.06 %5mC/year, p=0.049). We observed a significant decrease in average Alu methylation over time, with a -0.2 %5mC change (p=0.012) compared to blood samples collected up to 8 years earlier. The longitudinal decline in Alu methylation was linear and highly correlated with time since the first measurement (beta=-0.089 %5mC/year, p<0.0001). In contrast, average LINE-1 methylation did not vary over time [p=0.51]. Our results demonstrate a progressive loss of DNA methylation in repetitive elements dispersed throughout the genome.
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                Author and article information

                Contributors
                ykkang@kribb.re.kr
                Journal
                Aging Cell
                Aging Cell
                10.1111/(ISSN)1474-9726
                ACEL
                Aging Cell
                John Wiley and Sons Inc. (Hoboken )
                1474-9718
                1474-9726
                27 September 2019
                December 2019
                : 18
                : 6 ( doiID: 10.1111/acel.v18.6 )
                : e13042
                Affiliations
                [ 1 ] Development and Differentiation Research Center Korea Research Institute of Bioscience Biotechnology (KRIBB) Daejeon Korea
                [ 2 ] Department of Functional Genomics University of Science and Technology (UST) Daejeon Korea
                Author notes
                [*] [* ] Correspondence

                Yong‐Kook Kang, Development and Differentiation Research Center, Korea Research Institute of Bioscience Biotechnology (KRIBB), 125 Gwahak‐ro, Yuseong‐gu, Daejeon 34141, Korea.

                Email: ykkang@ 123456kribb.re.kr

                Author information
                https://orcid.org/0000-0002-5419-6964
                Article
                ACEL13042
                10.1111/acel.13042
                6826136
                31560164
                cd64480a-e3f0-4132-b5a9-114246b5bb18
                © 2019 The Authors. Aging Cell published by the Anatomical Society and John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 05 June 2019
                : 07 August 2019
                : 30 August 2019
                Page count
                Figures: 5, Tables: 0, Pages: 13, Words: 9560
                Funding
                Funded by: Korea Research Institute of Bioscience and Biotechnology (KRIBB), National Research Foundation of Korea
                Award ID: NRF-2019R1A2C1083916
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                acel13042
                December 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.7.0 mode:remove_FC converted:04.11.2019

                Cell biology
                aging,dna methylation,endogenous retrovirus (erv),line1,mbd‐seq,retroelement,skeletal muscle

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