Literature DB >> 32526817

Comparative profiles of DNA methylation and differential gene expression in osteocytic areas from aged and young mice.

Yu Wei1, Jiayao Fu1, Wenjing Wu1, Junhua Wu1.   

Abstract

Altered DNA methylation upon ageing may result in many age-related diseases such as osteoporosis. However, the changes in DNA methylation that occur in cortical bones, the major osteocytic areas, remain unknown. In our study, we extracted total DNA and RNA from the cortical bones of 6-month-old and 24-month-old mice and systematically analysed the differentially methylated regions (DMRs), differentially methylated promoters (DMPs) and differentially expressed genes (DEGs) between the mouse groups. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of the DMR-related genes revealed that they were mainly associated with metabolic signalling pathways, including glycolysis, fatty acid and amino acid metabolism. Other genes with DMRs were related to signalling pathways that regulate the growth and development of cells, including the PI3K-AKT, Ras and Rap1 signalling pathways. The gene expression profiles indicated that the DEGs were mainly involved in metabolic pathways and the PI3K-AKT signalling pathway, and the profiles were verified through real-time quantitative PCR (RT-qPCR). Due to the pivotal roles of the affected genes in maintaining bone homeostasis, we suspect that these changes may be key factors in age-related bone loss, either together or individually. Our study may provide a novel perspective for understanding the osteocyte and its relationship with osteoporosis during ageing. SIGNIFICANCE OF THE STUDY: Our study identified age-related changes in gene expressions in osteocytic areas through whole-genome bisulfite sequencing (WGBS) and RNA-seq, providing new theoretical foundations for the targeted treatment of senile osteoporosis.
© 2020 John Wiley & Sons Ltd.

Entities:  

Keywords:  DNA methylation; PI3K-AKT signalling pathway; ageing; metabolism; osteocyte; osteoporosis

Mesh:

Year:  2020        PMID: 32526817     DOI: 10.1002/cbf.3539

Source DB:  PubMed          Journal:  Cell Biochem Funct        ISSN: 0263-6484            Impact factor:   3.685


  4 in total

1.  Benchmarking DNA methylation analysis of 14 alignment algorithms for whole genome bisulfite sequencing in mammals.

Authors:  Wentao Gong; Xiangchun Pan; Dantong Xu; Guanyu Ji; Yifei Wang; Yuhan Tian; Jiali Cai; Jiaqi Li; Zhe Zhang; Xiaolong Yuan
Journal:  Comput Struct Biotechnol J       Date:  2022-08-27       Impact factor: 6.155

2.  Prioritization of Genes Relevant to Bone Fragility Through the Unbiased Integration of Aging Mouse Bone Transcriptomics and Human GWAS Analyses.

Authors:  Serra Kaya; Charles A Schurman; Neha S Dole; Daniel S Evans; Tamara Alliston
Journal:  J Bone Miner Res       Date:  2022-02-28       Impact factor: 6.390

3.  Estrogen prevents cellular senescence and bone loss through Usp10-dependent p53 degradation in osteocytes and osteoblasts: the role of estrogen in bone cell senescence.

Authors:  Yu Wei; Jiayao Fu; Wenjing Wu; Pengfei Ma; Le Ren; Junhua Wu
Journal:  Cell Tissue Res       Date:  2021-07-05       Impact factor: 5.249

4.  Analysis of DNA Methylation Profiles in Mandibular Condyle of Chicks With Crossed Beaks Using Whole-Genome Bisulfite Sequencing.

Authors:  Lei Shi; Hao Bai; Yunlei Li; Jingwei Yuan; Panlin Wang; Yuanmei Wang; Aixin Ni; Linlin Jiang; Pingzhuang Ge; Shixiong Bian; Yunhe Zong; Adamu Mani Isa; Hailai Hagos Tesfay; Fujian Yang; Hui Ma; Yanyan Sun; Jilan Chen
Journal:  Front Genet       Date:  2021-07-08       Impact factor: 4.599

  4 in total

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