CDK4/6 inhibition induces a senescence-associated secretory phenotype via delayed NF-κB activation
RNA-seq (gene expression) · human · 40 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
- 40 samples: 40 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
- CDK4/6 inhibition induces a senescence-associated secretory phenotype via delayed NF-κB activationLife science alliance · 2026
Read the full summary ↓
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 GSE295260_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 PRJNA1253962 and SRA study SRP580394. 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 40 sample titles: 40 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.
- GSM8944501 LS8817, Cycling, rep1, RNA
- GSM8944502 LS8817, Cycling, rep2, RNA
- GSM8944503 LS8817, Cycling, rep3, RNA
- GSM8944504 LS8817, day10, Doxo, rep1, RNA
- GSM8944505 LS8817, day10, Palbo, rep1, RNA
- GSM8944506 LS8817, day14, Doxo, rep1, RNA
- GSM8944507 LS8817, day14, Doxo, rep2, RNA
- GSM8944508 LS8817, day14, Palbo, rep1, RNA
- GSM8944509 LS8817, day14, Palbo, rep2, RNA
- GSM8944510 LS8817, day21, Doxo, rep1, RNA
- GSM8944511 LS8817, day21, Doxo, rep2, RNA
- GSM8944512 LS8817, day21, Palbo, rep1, RNA
- GSM8944513 LS8817, day21, Palbo, rep2, RNA
- GSM8944514 LS8817, day28, Palbo, rep1, RNA
- GSM8944515 LS8817, day28, Palbo, rep2, RNA
- GSM8944516 LS8817, day3, Doxo, rep1, RNA
- GSM8944517 LS8817, day3, Doxo, rep2, RNA
- GSM8944518 LS8817, day3, Palbo, rep1, RNA
- GSM8944519 LS8817, day3, Palbo, rep2, RNA
- GSM9844031 MCF7, PvsPFvsD, Cycling, rep1, RNA
- GSM9844032 MCF7, PvsPFvsD, Cycling, rep2, RNA
- GSM9844033 MCF7, PvsPFvsD, Cycling, rep3, RNA
- GSM9844034 MCF7, PvsPFvsD, Cycling, rep4, RNA
- GSM9844035 MCF7, day14Doxo, rep1, RNA
- GSM9844036 MCF7, day14Doxo, rep2, RNA
- GSM9844037 MCF7, day14Doxo, rep3, RNA
- GSM9844038 MCF7, day21Palbo, rep1, RNA
- GSM9844039 MCF7, day21Palbo, rep2, RNA
- GSM9844040 MCF7, day21Palbo, rep3, RNA
- GSM9844041 MCF7, day18PalboandFulv, rep1, RNA
- GSM9844042 MCF7, day18PalboandFulv, rep2, RNA
- GSM9844043 MCF7, Cycling, rep1, RNA
- GSM9844044 MCF7, Cycling, rep2, RNA
- GSM9844045 MCF7, Cycling, rep3, RNA
- GSM9844046 MCF7, Day1, FulvPalbo, RNA
- GSM9844047 MCF7, Day3, FulvPalbo, RNA
- GSM9844048 MCF7, Day5, FulvPalbo, RNA
- GSM9844049 MCF7, Day10, FulvPalbo, RNA
- GSM9844050 MCF7, Day15, FulvPalbo, RNA
- GSM9844051 MCF7, Day21, FulvPalbo, RNA
- GSE244403 cGAS-STING axis activation drove inflammatory phenotype acquisition of senescent nucleus pulposus cells via p65-mediated transcriptional modulation 12 samples shares nf, activation, phenotype
- GSE274680 Inflammation and lymphocyte activation during longitudinal progression to rheumatoid arthritis in at-risk individuals 243 samples shares nf, activation
- GSE292828 Inhibition of NFAT after human uterus transplant promotes loss of tissue-resident NK cells and attendant pregnancy complications [scRNA-seq] 39 samples shares nf, inhibition
- GSE325471 The CDK4/6 inhibitor dalpiciclib augments the antitumor efficacy of enzalutamide in preclinical models of castration-resistant prostate cancer through inhibition of MCM4-mediated DNA replication 12 samples shares cdk4, inhibition
- GSE342301 SIRT2 deacylase modulators control B cell metabolic reprogramming in EBV infection and mitogenic activation 8 samples shares nf, activation
- GSE309979 GeoMx GeoMx-DSP Toxic Lipid-induced Epigenetic Activation of ICAM1 in Liver Sinusoidal Endothelium Regulates Myeloid-Driven Fibro-inflammatory Response in MASH 217 samples shares nf, activation
- GSE230342 Chromatin conformation dynamics during CD4+ Tcell activation implicates autoimmune disease associated genes and regulatory elements (HiC) 6 samples shares nf, activation
- GSE292059 Inflammatory Epithelial and Macrophage Pathways Underlie Residual Asthma Exacerbations in Urban Children Treated with Mepolizumab 965 samples shares nf
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.