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Series GSE210285 Query DataSets for GSE210285
Status Public on Aug 15, 2022
Title Integrated multi-omics approach revealed cellular senescence landscape
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary Cellular senescence is a complex multifactorial biological phenomenon that plays essential roles in aging, and aging-related diseases. During this process, the senescent cells undergo gene expression altering and chromatin structure remodeling. However, studies on the epigenetic landscape of senescence using integrated multi-omics approaches are limited. In this research, we performed ATAC-seq, RNA-seq, and ChIP-seq on different senescent types to reveal the landscape of senescence and identify the prime regulatory elements.
 
Overall design Considering that human diploid 2BS fibroblasts are a widely used cell model to study cellular senescence and aging-related disorders, we employed growing 2BS cells and senescent 2BS cells as Replicative Cellular Senescence (RS) representatives to generate ATAC-seq libraries , which can sensitively measure high-resolution chromatin accessibility. For each age stage, we obtained two independent ATAC-seq replicates.
Web link https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638896/
 
Contributor(s) Wang P, Song Q, Wang C, Zhang L, Wei G, Hou Y, Liu J, Wang Y, Cui Y
Citation(s) 36243980
Submission date Aug 02, 2022
Last update date Nov 21, 2022
Contact name Qiao Song
E-mail(s) songqiao@ccmu.edu.cn
Phone 13521570356
Organization name Xuanwu Hospital, Capital Medical University
Department Department of Clinical laboratory
Lab National Clinical Research Center for Geriatric Diseases
Street address No.45 Changchun Street
City Beijing
ZIP/Postal code 100053
Country China
 
Platforms (2)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
GPL23227 BGISEQ-500 (Homo sapiens)
Samples (4)
GSM6427623 RS-Growing-rep1
GSM6427624 RS-Growing-rep2
GSM6427625 RS-rep1
Relations
BioProject PRJNA865031

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Supplementary file Size Download File type/resource
GSE210285_RAW.tar 221.4 Mb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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