Genome wide expression analysis of the impact of rapamycin and DOT1L inhibitor treatment upon the progression of replicative senescence
RNA-seq (gene expression) · human · 12 samples
- What it is
- RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
- Organism
- Homo sapiens (human)
- Samples
- 12 samples
- 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
- Ligand-specific regulation of a binary enhancer code dictating cellular senescenceProceedings of the National Academy of Sciences of the United States of America · 2025
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 GSE146575_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.
Also filed as BioProject PRJNA610859 and SRA study SRP251903. Searching any of these in the dataset finder brings you back here.
The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.
+ 12 more — browse all 12 samples with per-sample file links →
- GSE305389 Stromal and Endothelial Transcriptional Changes during Progression from MGUS to Myeloma and after Treatment Response [RNA-Seq] 25 samples shares progression, treatment
- GSE323983 Senescence inhibition by rapamycin mitigates radiation-induced atherosclerotic characteristics in human coronary endothelial cells 23 samples shares senescence, rapamycin
- GSE270296 TGF-β Signaling Pathway and Cell-Cell Interactions in the Tumor Microenvironment Drive Bladder Cancer Progression after BCG Instillation Treatment: Insights from longitudinal Single-Nucleus RNA-Seq 14 samples shares progression, treatment
- GSE280381 Investigating therapy-induced senescence as a reversible escape mechanism of drug resistance in breast cancer cells using high-dose doxorubicin treatment 12 samples shares senescence, treatment
- 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 replicative, senescence
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares progression
- GSE284666 SenCat: Redefining human cell senescence through multiomic profiling of multiple senescent cell types 190 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.