Macroscopic mechanostress-induced nuclear envelop rupture reorganizes tumor-stromal interactions (scRNA-seq)
Single-cell RNA-seq · mouse · 9 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
- Organism
- Mus musculus (mouse)
- Samples
- 9 samples: 5 × Running vs 4 × MattressGroups 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.
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 GSE289587_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.
Also filed as BioProject PRJNA1223475 and SRA study SRP563872. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 9 samples.
How we read this: 2 replicated groups read from 9 sample titles; they account for 9 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.
- GSM8794696 Mattress_01 Mattress
- GSM8794697 Mattress_02 Mattress
- GSM8794698 Mattress_03 Mattress
- GSM8794699 Mattress_04 Mattress
- GSM8794700 Running_01 Running
- GSM8794701 Running_02 Running
- GSM8794702 Running_03 Running
- GSM8794703 Running_04 Running
- GSM8794704 Running_05 Running
- GSE262290 Metabolic modeling reveals the aging-associated decline of host–microbiome metabolic interactions in mice 156 samples shares interactions
- GSE278548 Metabolic modeling reveals the aging-associated decline of host-microbiome metabolic interactions in mice 119 samples shares interactions
- GSE261066 Transient promoter interactions modulate developmental gene activation [RNA-Seq] 79 samples shares interactions
- GSE301965 Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions 72 samples shares interactions
- GSE298786 Type I IFN impedes early bacterial control in TB-resistant and -susceptible mice and activates neutrophils to restrict lung macrophage-T cell interactions [RNA-seq] 70 samples shares interactions
- GSE272850 Polyclonal interactions overcome fitness barriers in Apc-driven intestinal tumorigenesis 63 samples shares interactions
- GSE252621 Interactions of Polychlorinated Biphenyls and Their Metabolites with the Brain and Liver Transcriptome of Female Mice 62 samples shares interactions
- GSE315447 Suppressive Genetic Interactions Between Haploinsufficient Mitochondrial Genes Encoded in the 22q11.2 Microdeletion Locus Define Brain and Cardiac Phenotypes 59 samples shares interactions
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.