Transcriptomic profiling of irradiated senescent IMR90 cells treated with CDK4/6 or JAK inhibitors
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: 3 × Proliferating vs 3 × Senescent DMSO, vs 3 × Senescent + 2uM Palbocicilb, vs 3 × Senescent + 2uM Ruxolitinib,Groups 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
- Targeting CyclinD1-CDK6 to Mitigate Senescence-Driven Inflammation and Age-Associated Functional DeclinebioRxiv : the preprint server for biology · 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 GSE304272_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 PRJNA1299858 and SRA study SRP605756. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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.
- GSM9146524 Proliferating replicate 1 Proliferating
- GSM9146525 Proliferating replicate 2 Proliferating
- GSM9146526 Proliferating replicate 3 Proliferating
- GSM9146527 Senescent DMSO, replicate1 Senescent DMSO,
- GSM9146528 Senescent DMSO, replicate2 Senescent DMSO,
- GSM9146529 Senescent DMSO, replicate3 Senescent DMSO,
- GSM9146530 Senescent + 2uM Palbocicilb, replicate1 Senescent + 2uM Palboci…
- GSM9146531 Senescent + 2uM Palbocicilb, replicate2 Senescent + 2uM Palboci…
- GSM9146532 Senescent + 2uM Palbocicilb, replicate3 Senescent + 2uM Palboci…
- GSM9146533 Senescent + 2uM Ruxolitinib, replicate1 Senescent + 2uM Ruxolit…
- GSM9146534 Senescent + 2uM Ruxolitinib, replicate2 Senescent + 2uM Ruxolit…
- GSM9146535 Senescent + 2uM Ruxolitinib, replicate3 Senescent + 2uM Ruxolit…
- GSE304266 Bulk RNA‑seq of IMR90 fibroblasts in IR‑induced senescence with siRNA knockdowns of CCND1, CDK4, CDK6 and controls 21 samples shares imr90, cdk4
- GSE299063 Large scale cell-based transcriptome data treated with Jakyakgamcho-tang in HepG2 cell 168 samples shares jak, treated
- GSE296805 An immunological mechanism of resistance to CDK4/6 inhibitors in breast cancer 50 samples shares cdk4, inhibitors
- GSE297268 Alterations of splicing and gene expression in DMSO or 4OHT treated-IMR90 ER:HRAS G12V cells upon knockdown of SF3B1 and RBM39 48 samples shares imr90, treated
- GSE303026 CDK8/19 inhibition suppresses adaptive resistance to CDK4/6 inhibitors in vitro and in vivo 44 samples shares cdk4, inhibitors
- GSE281302 ESR1 Y537S and D538G mutations drive resistance to CDK4/6 inhibitors in estrogen receptor-positive breast cancer 36 samples shares cdk4, inhibitors
- GSE324093 ESR1 mutations shape the clonal dynamics, genetic diversity and cellular states of acquired resistance to CDK4/6 inhibitors [RNA-seq] 32 samples shares cdk4, inhibitors
- GSE279738 A novel combination of CDK4/6 and PI3K inhibitors exhibits highly synergistic activity and translational potential in Ewing sarcoma. 32 samples shares cdk4, inhibitors
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.