Bulk RNA-seq of immunopanned astrocytes with the treatment of Shh and Fgf
RNA-seq (gene expression) · mouse · 17 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
- 17 samples: 5 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
- Astrocyte specification in the mouse septum is shaped by both developmental origin and local signalsNature neuroscience · 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 GSE281480_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 PRJNA1184114 and SRA study SRP544197. Searching any of these in the dataset finder brings you back here.
Supports a between-group comparison across 17 samples.
How we read this: 5 replicated groups read from 17 sample titles; they account for 17 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.
- GSM8621674 IPAstro_DMSO_1 IPAstro_DMSO
- GSM8621675 IPAstro_DMSO_2 IPAstro_DMSO
- GSM8621676 IPAstro_DMSO_3 IPAstro_DMSO
- GSM8621677 IPAstro_SAG_1 IPAstro_SAG
- GSM8621678 IPAstro_SAG_2 IPAstro_SAG
- GSM8621679 IPAstro_SAG_3 IPAstro_SAG
- GSM8621680 IPAstro_PBS_1 IPAstro_PBS
- GSM8621681 IPAstro_PBS_2 IPAstro_PBS
- GSM8621682 IPAstro_PBS_3 IPAstro_PBS
- GSM8621683 IPAstro_PBS_4 IPAstro_PBS
- GSM8621684 IPAstro_FGF2_1 IPAstro_FGF2
- GSM8621685 IPAstro_FGF2_2 IPAstro_FGF2
- GSM8621686 IPAstro_FGF2_3 IPAstro_FGF2
- GSM8621687 IPAstro_FGF2_4 IPAstro_FGF2
- GSM8621688 IPAstro_FGF10_1 IPAstro_FGF10
- GSM8621689 IPAstro_FGF10_2 IPAstro_FGF10
- GSM8621690 IPAstro_FGF10_3 IPAstro_FGF10
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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.