The integrated stress response fine-tunes stem cell fate decisions in response to serine deprivation and tissue injury [RNA-seq]
Single-cell RNA-seq · mouse · 2 samples
- What it is
- Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
- Organism
- Mus musculus (mouse)
- Samples
- 2 samples: 2 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.
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 GSE270324_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 PRJNA1126199 and SRA study SRP515152. 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 2 sample titles: 2 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.
- GSM8339567 Sample_Control Telo
- GSM8339568 Sample_1_Control AnaII-III
- GSE273310 DELE1 mitochondrial integrated stress response to CHCHD10 G58R protein misfolding in striated muscle [RNA-seq] 64 samples shares integrated, rna-seq, stress
- GSE312828 Integrated stress response couples mitochondrial fitness with lineage reprogramming to drive cancer evolution. [RNA-Seq] 24 samples shares integrated, rna-seq, stress
- GSE289768 Ageing promotes metastasis via activation of the integrated stress response [RNA-Seq OE] 16 samples shares integrated, rna-seq, stress
- GSE279579 Adar1 as a placental innate immune rheostat to prevent endogenous dsRNA-induced integrated stress response-dependent embryonic lethality [bulk RNA-seq] 14 samples shares integrated, rna-seq, stress
- GSE279582 Adar1 as a placental innate immune rheostat to prevent endogenous dsRNA-induced integrated stress response-dependent embryonic lethality [Adar1 PKO RNA-seq] 14 samples shares integrated, rna-seq, stress
- GSE248614 Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma [RNA-seq] 12 samples shares decisions, rna-seq, stress
- GSE240701 Integrated Analysis of lncRNA-miRNA-mRNA Interaction Network in Myocardial Ischemia-Reperfusion Injury During Cardiopulmonary Bypass Surgery in Mouse [RNA-seq] 6 samples shares integrated, rna-seq, injury
- GSE260530 Distinct Roles for SETα and SETβ in Early Cell Fate Decisions [RNA-Seq] 91 samples shares decisions, rna-seq
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.