Astrocytes and Neurons cell-specific transcriptomics
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 × Astro_NS_C vs 3 × Neuro_NS_C vs 3 × Neuro_SD_C vs 3 × Astro_SD_CGroups 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
- An integrative analysis of cell-specific transcriptomics and nuclear proteomics of sleep-deprived mouse cerebral cortexScientific reports · 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 GSE280481_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 PRJNA1178682 and SRA study SRP541616. 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.
- GSM8599017 Astro_NS_C1 Astro_NS_C
- GSM8599018 Neuro_NS_C2 Neuro_NS_C
- GSM8599019 Neuro_SD_C1 Neuro_SD_C
- GSM8599020 Astro_NS_C2 Astro_NS_C
- GSM8599021 Neuro_NS_C1 Neuro_NS_C
- GSM8599022 Astro_NS_C3 Astro_NS_C
- GSM8599023 Astro_SD_C1 Astro_SD_C
- GSM8599024 Neuro_SD_C2 Neuro_SD_C
- GSM8599025 Astro_SD_C2 Astro_SD_C
- GSM8599026 Neuro_NS_C3 Neuro_NS_C
- GSM8599027 Neuro_SD_C3 Neuro_SD_C
- GSM8599028 Astro_SD_C3 Astro_SD_C
- GSE316928 Characterizing the metabolomes of microglia, astrocytes, and neurons in the brain across states of health, aging, and disease 35 samples shares astrocytes, neurons
- GSE235987 Enhancer-AAVs allow genetic access to diverse populations of astrocytes and oligodendrocytes across species 2040 samples shares astrocytes
- GSE84371 Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons 924 samples shares neurons
- GSE328896 Patch-seq analysis of dorsal striatum cholinergic interneurons in a mouse model of 22q11 deletion syndrome 125 samples shares neurons
- GSE272823 Shared and divergent transcriptomic regulation in nucleus accumbens D1 and D2 medium spiny neurons by cocaine 75 samples shares neurons
- GSE325852 Translatome profiling reveals opposing alterations in inhibitory and excitatory neurons of Fragile X mice and identifies EPAC2 as a therapeutic target 69 samples shares neurons
- GSE263738 Bi-directional immunosuppressive interactions between astrocytes and glioblastoma cells identified by barcoded viral tracing [Mouse Bulk RNA-Seq Dataset of Monocytes, T Cells and Astrocytes 63FG] 57 samples shares astrocytes
- GSE276182 NF-κB activation in astrocytes critically affects wound regeneration after traumatic brain injury 51 samples shares astrocytes
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.