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Series GSE171332 Query DataSets for GSE171332
Status Public on May 10, 2021
Title Epigenetic clocks reveal a rejuvenation event during embryogenesis followed by aging
Organism Mus musculus
Experiment type Methylation profiling by high throughput sequencing
Third-party reanalysis
Summary The notion that germline does not age goes back to the 19th century ideas of August Weismann. However, being in a metabolically active state, germline accumulates damage and other age-related changes over time, i.e., they age. For new life to begin in the same young state, they must be rejuvenated in the offspring. Here, we developed a new multi-tissue epigenetic clock and applied it, together with other aging clocks, to track changes in biological age during mouse and human prenatal development. This analysis revealed a significant decrease in biological age, i.e. rejuvenation, during early stages of embryogenesis, followed by an increase in later stages. We further found that pluripotent stem cells do not age even after extensive passaging and that the examined epigenetic age dynamics is conserved across species. Overall, this study uncovers a natural rejuvenation event during embryogenesis and suggests that the minimal biological age (the ground zero) marks the beginning of organismal aging.
 
Overall design We remapped the raw reads of several available mouse datasets (ENCSR486XIX, GSE120132, GSE56697, GSE121690, GSE60334, GSE130735, GSE76261, GSE34864, GSE80672, GSE51239, GSE98151) to the mouse rDNA sequence, as follows. Raw sequences were downloaded and extracted using SRA Toolkit. Reads were trimmed and quality filtered by TrimGalore! v0.6.4 using the --rrbs option for RRBS. Methylation levels were extracted using Bismark v0.22.2. Reads were mapped to the mouse rDNA sequence (BK000964.3).
 
Contributor(s) Kerepesi C
Citation(s) 34172448
Submission date Apr 01, 2021
Last update date Jul 06, 2022
Contact name Vadim N. Gladyshev
E-mail(s) vgladyshev@rics.bwh.harvard.edu
Organization name Brigham and Women's Hospital and Harvard Medical School
Department Department of Medicine
Lab Gladyshev Lab
Street address 77 Avenue Louis Pasteur
City Boston
State/province MA
ZIP/Postal code 02115
Country USA
 
Relations
Reanalysis of GSE120132
Reanalysis of GSE121690
Reanalysis of GSE130735
Reanalysis of GSE34864
Reanalysis of GSE51239
Reanalysis of GSE56697
Reanalysis of GSE60334
Reanalysis of GSE76261
Reanalysis of GSE80672
Reanalysis of GSE98151

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE171332_ENCSR486XIX_remapped_to_rDNA.tar.gz 38.9 Mb (ftp)(http) TAR
GSE171332_GSE120132_remapped_to_rDNA.tar.gz 59.2 Mb (ftp)(http) TAR
GSE171332_GSE121690_remapped_to_rDNA.tar.gz 63.2 Mb (ftp)(http) TAR
GSE171332_GSE130735_remapped_to_rDNA.tar.gz 1.9 Mb (ftp)(http) TAR
GSE171332_GSE34864_remapped_to_rDNA.tar.gz 10.6 Mb (ftp)(http) TAR
GSE171332_GSE51239_remapped_to_rDNA.tar.gz 4.7 Mb (ftp)(http) TAR
GSE171332_GSE56697_remapped_to_rDNA.tar.gz 8.1 Mb (ftp)(http) TAR
GSE171332_GSE60334_remapped_to_rDNA.tar.gz 2.3 Mb (ftp)(http) TAR
GSE171332_GSE76261_remapped_to_rDNA.tar.gz 452.5 Kb (ftp)(http) TAR
GSE171332_GSE80672_remapped_to_rDNA.tar.gz 28.6 Mb (ftp)(http) TAR
GSE171332_GSE98151_remapped_to_rDNA.tar.gz 1.5 Mb (ftp)(http) TAR
Processed data provided as supplementary file

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