Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma [RNA-seq]
RNA-seq (gene expression) · mouse · 12 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
- 12 samples: 3 × Young_telogen vs 3 × Young_early anagen vs 3 × Old_telogen vs 3 × Old_early anagenGroups 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 GSE248614_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 PRJNA1045037 and SRA study SRP474152. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 12 samples.
How we read this: 4 replicated groups read from 12 sample titles; they account for 12 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.
- GSM7917955 Young_telogen_rep 1 Young_telogen
- GSM7917956 Young_telogen_rep 2 Young_telogen
- GSM7917957 Young_telogen_rep 3 Young_telogen
- GSM7917958 Young_early anagen_rep 1 Young_early anagen
- GSM7917959 Young_early anagen_rep 2 Young_early anagen
- GSM7917960 Young_early anagen_rep 3 Young_early anagen
- GSM7917961 Old_telogen_rep 1 Old_telogen
- GSM7917962 Old_telogen_rep 2 Old_telogen
- GSM7917963 Old_telogen_rep 3 Old_telogen
- GSM7917964 Old_early anagen_rep 1 Old_early anagen
- GSM7917965 Old_early anagen_rep 2 Old_early anagen
- GSM7917966 Old_early anagen_rep 3 Old_early anagen
- GSE248615 Antagonistic stem cell fates under stress govern decisions between hair greying and melanoma 26 samples shares antagonistic, decisions, melanoma, greying, stress, govern, fates
- GSE270324 The integrated stress response fine-tunes stem cell fate decisions in response to serine deprivation and tissue injury [RNA-seq] 2 samples shares decisions, rna-seq, stress
- GSE215960 Subclonal evolution revealed by single-cell profiles of expressed mutations identifies adaptation mechanisms to immunotherapy in melanoma [scRNA-seq] 192 samples shares melanoma, rna-seq
- GSE260530 Distinct Roles for SETα and SETβ in Early Cell Fate Decisions [RNA-Seq] 91 samples shares decisions, rna-seq
- GSE286519 Glucocorticoids unleash immune-dependent melanoma control through inhibition of the GARP/TGFβ axis [RNA-seq] 31 samples shares melanoma, rna-seq
- GSE233856 A single cell transcriptomic map of the developing Atoh1-lineage uncovers neural fate decisions and neuronal diversity in the hindbrain.[RNA-Seq] 24 samples shares decisions, rna-seq
- GSE278974 Single-cell screens identify ADAM12 as a fibroblast checkpoint impeding anti-tumor immunity - RNA-seq of B16F10 lung melanoma murine models 14 samples shares melanoma, rna-seq
- GSE253092 Tumour-intrinsic endomembrane trafficking by ARF6 shapes an immunosuppressive microenvironment that drives melanomagenesis and response to checkpoint blockade therapy [bulk RNA-seq] 12 samples shares melanoma, 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.