Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitor
ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 51 samples
- What it is
- ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
- Organism
- Homo sapiens (human)
- Samples
- 51 samples: 51 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
- Data you can get
- A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
- Paper
- Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitorAging cell · 2024
Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.
Processed table
The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.
Supplementary files
The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE238256_RAW.tar (it can run to tens of gigabytes).
Raw sequencing reads
The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.
What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.
Also filed as BioProject PRJNA998455 and SRA study SRP451370. Searching any of these in the dataset finder brings you back here.
Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.
How we read this: Read from 51 sample titles: 51 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.
- GSM7661134 young_GEO2457
- GSM7661135 ICM_6days_GEO2459
- GSM7661136 young-rep1-Ribo-seq
- GSM7661137 young-rep2-Ribo-seq
- GSM7661138 young-rep3-Ribo-seq
- GSM7661139 old-rep1-Ribo-seq
- GSM7661140 old-rep2-Ribo-seq
- GSM7661141 old-rep3-Ribo-seq
- GSM7661142 ICM-rep1-Ribo-seq
- GSM7661143 ICM-rep2-Ribo-seq
- GSM7661144 ICM-rep3-Ribo-seq
- GSM7661145 young-rep1-RNA-seq
- GSM7661146 young-rep2-RNA-seq
- GSM7661147 young-rep3-RNA-seq
- GSM7661148 old-rep1-RNA-seq
- GSM7661149 old-rep2-RNA-seq
- GSM7661150 old-rep3-RNA-seq
- GSM7661151 ICM-rep1-RNA-seq
- GSM7661152 ICM-rep2-RNA-seq
- GSM7661153 ICM-rep3-RNA-seq
- GSM7661154 I79young_rep1-RNA-seq
- GSM7661155 I79young_rep2-RNA-seq
- GSM7661156 I79old_rep1-RNA-seq
- GSM7661157 I79old_rep2-RNA-seq
- GSM7661158 I10young_rep1-RNA-seq
- GSM7661159 I10young_rep2-RNA-seq
- GSM7661160 I10old_rep1-RNA-seq
- GSM7661161 I10old_rep2-RNA-seq
- GSM7661162 I79ICMrep1-RNA-seq
- GSM7661163 I79ICMrep2-RNA-seq
- GSM7661164 I79_p21_ctrl_CTCF
- GSM7661165 I79_p16_ICM6d_CTCF
- GSM7661166 I79_p34_CTCF
- GSM7661167 I79_p16_ctrl_SMC1
- GSM7661168 I79_p16_ICM_SMC1
- GSM7661169 I79_p34_SMC1
- GSM7661170 young_rep1_factory_seq
- GSM7661171 young_rep2_factory_seq
- GSM7661172 ICM_3days_rep1_factory_seq
- GSM7661173 ICM_3days_rep2_factory_seq
+ 11 more — browse all 51 samples with per-sample file links →
- GSE280372 ETC-501 is a Brain Penetrant MNK Kinase Inhibitor that Potentiates TMZ-Induced Senescence and Sensitizes Glioblastoma Cells to Senolytic Therapy 12 samples shares senescence, inhibitor
- GSE146585 Functional genomics assays, including ChIP-seq, ATAC-seq, RNA-seq, GRO-seq, and in situ Hi-C, in the context of replicative senescence 223 samples shares senescence
- GSE275610 scRNA-seq and snATAC-seq reveal differentiation trajectories of several pancreatic islet induction protocols 341 samples shares induction
- GSE284666 SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types 190 samples shares senescence
- GSE269948 Defective RNA processing and ELOA-mediated transcriptional elongation in reversible cellular senescence suggest aging by transcription 162 samples shares senescence
- GSE300907 Extensive enhancer crosstalk governs the induction of PPARG2 expression during adipogenic lineage commitment 120 samples shares induction
- GSE244257 Senescence and inflammation are unintended adverse consequences of CRISPR-Cas9/AAV6 mediated gene editing in hematopoietic stem cells 83 samples shares senescence
- GSE310729 Age-independent and targetable transcription factor networks regulate CD8+ T cell senescence in aging humans 83 samples shares senescence
Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.