Global transcriptional profiles of primary and secondary cellular senescence in vivo by oncogene-induced senescence (OIS) and stress-induced senescence (SIS)
RNA-seq (gene expression) · mouse · 76 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
- Mus musculus (mouse)
- Samples
- 76 samples: 26 conditions, mostly in triplicateGroups 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
- Characterizing primary and secondary senescence in vivoNature aging · 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 GSE242709_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 PRJNA1014389 and SRA study SRP459266. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 70 samples.
How we read this: 26 replicated groups read from 76 sample titles; they account for 70 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.
- GSM7767334 MEF_caMEK1_NoDox_d2_1 MEF_caMEK1_NoDox_d2
- GSM7767335 MEF_caMEK1_NoDox_d2_2 MEF_caMEK1_NoDox_d2
- GSM7767336 MEF_caMEK1_NoDox_d2_3 MEF_caMEK1_NoDox_d2
- GSM7767337 MEF_caMEK1_Dox_d2_1 MEF_caMEK1_Dox_d2
- GSM7767338 MEF_caMEK1_Dox_d2_2 MEF_caMEK1_Dox_d2
- GSM7767339 MEF_caMEK1_Dox_d2_3 MEF_caMEK1_Dox_d2
- GSM7767340 MEF_caMEK1_Dox_d4_1 MEF_caMEK1_Dox_d4
- GSM7767341 MEF_caMEK1_Dox_d4_2 MEF_caMEK1_Dox_d4
- GSM7767342 MEF_caMEK1_Dox_d4_3 MEF_caMEK1_Dox_d4
- GSM7767343 MEF_caMEK1_Dox_d7_1 MEF_caMEK1_Dox_d7
- GSM7767344 MEF_caMEK1_Dox_d7_2 MEF_caMEK1_Dox_d7
- GSM7767345 MEF_caMEK1_Dox_d7_3 MEF_caMEK1_Dox_d7
- GSM7767346 MEF_caMKK6_NoDox_d2_1 MEF_caMKK6_NoDox_d2
- GSM7767347 MEF_caMKK6_NoDox_d2_2 MEF_caMKK6_NoDox_d2
- GSM7767348 MEF_caMKK6_NoDox_d2_3 MEF_caMKK6_NoDox_d2
- GSM7767349 MEF_caMKK6_Dox_d2_1 MEF_caMKK6_Dox_d2
- GSM7767350 MEF_caMKK6_Dox_d2_2 MEF_caMKK6_Dox_d2
- GSM7767351 MEF_caMKK6_Dox_d2_3 MEF_caMKK6_Dox_d2
- GSM7767352 MEF_caMKK6_Dox_d4_1 MEF_caMKK6_Dox_d4
- GSM7767353 MEF_caMKK6_Dox_d4_2 MEF_caMKK6_Dox_d4
- GSM7767354 MEF_caMKK6_Dox_d4_3 MEF_caMKK6_Dox_d4
- GSM7767355 MEF_caMKK6_Dox_d7_1 MEF_caMKK6_Dox_d7
- GSM7767356 MEF_caMKK6_Dox_d7_2 MEF_caMKK6_Dox_d7
- GSM7767357 MEF_caMKK6_Dox_d7_3 MEF_caMKK6_Dox_d7
- GSM7767358 liver_Control_NoDox_GFP_1 liver_Control_NoDox_GFP
- GSM7767359 liver_Control_NoDox_GFP_2 liver_Control_NoDox_GFP
- GSM7767360 liver_Control_NoDox_GFP_3 liver_Control_NoDox_GFP
- GSM7767361 liver_Control_Dox_mCherry_1 liver_Control_Dox_mCher…
- GSM7767362 liver_Control_Dox_mCherry_2 liver_Control_Dox_mCher…
- GSM7767363 liver_Control_Dox_GFP_1 liver_Control_Dox_GFP
- GSM7767364 liver_Control_Dox_GFP_2 liver_Control_Dox_GFP
- GSM7767365 liver_caMEK1_NoDox_GFP_1 liver_caMEK1_NoDox_GFP
- GSM7767366 liver_caMEK1_NoDox_GFP_2 liver_caMEK1_NoDox_GFP
- GSM7767367 liver_caMEK1_NoDox_GFP_3 liver_caMEK1_NoDox_GFP
- GSM7767368 liver_caMEK1_Dox_mCherry_1 liver_caMEK1_Dox_mCherry
- GSM7767369 liver_caMEK1_Dox_mCherry_2 liver_caMEK1_Dox_mCherry
- GSM7767370 liver_caMEK1_Dox_mCherry_3 liver_caMEK1_Dox_mCherry
- GSM7767371 liver_caMEK1_Dox_GFP_1 liver_caMEK1_Dox_GFP
- GSM7767372 liver_caMEK1_Dox_GFP_2 liver_caMEK1_Dox_GFP
- GSM7767373 liver_caMEK1_Dox_GFP_3 liver_caMEK1_Dox_GFP
+ 36 more — browse all 76 samples with per-sample file links →
- GSE241165 Characterizing the gene expression profiles of 4T1 and 4T1.2 cells at different stages of bone metastsis using SMART-Seq2 technology 1248 samples shares sis, profiles
- GSE276682 Single-cell transcriptome analysis revealed cellular reprogramming following Tetramethylpyrazine treatment in LPS-induced acute lung injury 12 samples shares sis, cellular
- GSE267388 mRNA expression profiles in hearts from sepsis-induced myocardial dysfunction mouse modles and controls 10 samples shares sis, profiles
- GSE294258 Intracellular iron homeostasis-regulated epigenetic reprogramming contributes to -7/del(7q) leukemia 71 samples shares sis, cellular
- GSE254919 Extracellular vesicles from obese visceral adipose promote pancreatic cancer development and resistance to immune checkpoint blockade therapy [ATAC-seq] 12 samples shares sis, cellular
- GSE293709 Transcriptome analysis in the prefrontal cortex of different ASD mouse models treated with drug 1565 samples shares sis
- GSE300757 Efferocytosis induces proangiogenic function and chromatin remodeling in tumor-associated macrophages 127 samples shares sis
- GSE305266 The cortical microenvironment drives early immune organization and controls early osteoclastogenesis in bone healing 90 samples shares sis
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.