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Series GSE164585 Query DataSets for GSE164585
Status Public on Feb 15, 2022
Title Single-cell transcriptional and epigenetic dynamics during aortic aging in mice
Organism Mus musculus
Experiment type Expression profiling by high throughput sequencing
Genome binding/occupancy profiling by high throughput sequencing
Summary The impact of vascular aging (VA) has been extensively studied, yet little is known regarding the cellular and molecular mechanism underlying age-related VA in aortic cellular subpopulations. Herein, we analyzed transcriptomes and transposase-accessible chromatin profiles from aortas of 4-, 26-, and 86-week-old mice using single-cell RNA sequencing and ATAC sequencing. By integrating the heterogeneous transcriptome and chromatin accessibility data, we identified cell-specific transcription factor (TF) regulatory networks and open chromatin states. Moreover, we found that aortic aging affects cell interactions, inflammation, cell type composition and dysregulation of transcriptional control. Endothelial cell (EC) 1 has higher gene set activity related to senescence, aging, and adipogenesis than EC 2. Construction of senescence trajectories showed that the senescence of EC 1 and fibroblasts is associated with distinct TF open chromatin states and an mRNA expression model. Our data provide a system-wide model for transcriptional and epigenetic regulation during aortic aging at single-cell resolution.
 
Overall design Transcriptomes and transposase-accessible chromatin profiles from aortas of two 4-week-old, two 26-week-old, and two 86-week-old mice
 
Contributor(s) Xie W, Ke Y, You Q, Li J, Chen L, Li D, Fang J, Chen X, Zhou Y, Chen L, Hong H
Citation(s) 34879708
Submission date Jan 11, 2021
Last update date Feb 16, 2022
Contact name Wenhui Xie
E-mail(s) doctorxiewenhui@fjmu.edu.cn
Phone 8615695907499
Organization name Fujian Medical University Union Hospital
Department Department of Geriatrics, Fujian Key Laboratory of Vascular Aging (Fujian Medical University)
Street address Gulou District, Xinquan Road, No.29
City Fuzhou
State/province Fujian
ZIP/Postal code 350001
Country China
 
Platforms (1)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
Samples (12)
GSM5014406 4-week-old_RNA-seq_rep1
GSM5014407 4-week-old_RNA-seq_rep2
GSM5014408 26-week-old_RNA-seq_rep1
Relations
BioProject PRJNA691260
SRA SRP301266

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
GSE164585_RAW.tar 753.1 Mb (http)(custom) TAR (of H5, MTX, TSV)
GSE164585_merge_UMI_count.txt.gz 69.5 Mb (ftp)(http) TXT
GSE164585_metadata.txt.gz 177.4 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data provided as supplementary file

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