Mechanical stretch induces senescence of alveolar epithelial cells and drives fibroblast activation by paracrine mechanisms III
RNA-seq (gene expression) · human · 10 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
- 10 samples: 5 × MRC5_static vs 5 × MRC5_stretchGroups 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
- Mechanical Stretch Induces Senescence of Lung Epithelial Cells and Drives Fibroblast Activation by Paracrine MechanismsAmerican journal of respiratory cell and molecular biology · 2025
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 GSE267787_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 PRJNA1112877 and SRA study SRP508415. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 10 samples.
How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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.
- GSM8278832 MRC5_static_1 MRC5_static
- GSM8278833 MRC5_stretch_2 MRC5_stretch
- GSM8278834 MRC5_static_3 MRC5_static
- GSM8278835 MRC5_stretch_4 MRC5_stretch
- GSM8278836 MRC5_static_5 MRC5_static
- GSM8278837 MRC5_stretch_6 MRC5_stretch
- GSM8278838 MRC5_static_7 MRC5_static
- GSM8278839 MRC5_stretch_8 MRC5_stretch
- GSM8278840 MRC5_static_9 MRC5_static
- GSM8278841 MRC5_stretch_10 MRC5_stretch
- GSE267788 Mechanical stretch induces senescence of alveolar epithelial cells and drives fibroblast activation by paracrine mechanisms 25 samples shares mechanical, senescence, epithelial, fibroblast, activation, paracrine, alveolar
- GSE275647 Role of Cancer-Associated Fibroblasts in Prognostic Stratification of Advanced-Stage Gastric Cancer through Interacting with Endothelial and Malignant Epithelial Cells [AGC RNA-seq] 216 samples shares epithelial, fibroblast
- GSE295260 CDK4/6 inhibition induces a senescence-associated secretory phenotype via delayed NF-κB activation 40 samples shares senescence, activation
- GSE216842 Transcriptomic landscape of human primary stromal cells (fibroblasts, endothelial cells and mesenchymal stem cells) upon therapy-induced senescence (genotoxic chemotherapy） 24 samples shares senescence, fibroblast
- GSE304266 Bulk RNA‑seq of IMR90 fibroblasts in IR‑induced senescence with siRNA knockdowns of CCND1, CDK4, CDK6 and controls 21 samples shares senescence, fibroblast
- GSE319646 scRNA sequencing revealed HIV-associated inflammatory-mediated lung epithelial dysregulation and fibroblast remodeling 15 samples shares epithelial, fibroblast
- GSE282384 Substrate Stiffness Dictates Unique Doxorubicin-induced Senescence-associated Secretory Phenotypes and Transcriptomic Signatures in Human Pulmonary Fibroblasts 12 samples shares senescence, fibroblast
- GSE270902 Twist1-induced suppression of oncogene-induced senescence in non-small cell lung cancer requires the transactivation domain of Twist1 12 samples shares senescence, activation
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.