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Mouse cortex PV interneuron transcriptome changes assessed with FACS-assisted bulk RNA-seq

GSE262872 Mus musculus (mouse) Single-cell RNA-seq 16 samples Submitted 2024/07/05 Platform GPL17021
At a glance

Single-cell RNA-seq · mouse · 16 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
16 samples: 9 × PV neurons, PV-Cre lsl-eGFP, biol vs 7 × PV neurons, PV-Cre lsl-eGFP-GluA2, biolGroups 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.
Summary (written by the submitters)
To investigate the novel link between CP-AMPARs and excitability, we assessed global PV interneuron transcriptome changes with FICSR-seq (Fixation-Capture Single Cell RNA Recovery-seq) on forebrain PV interneurons. FACS-assisted PV interneuron bulk RNA-seq of PV-Cre;lsl-eGFP-GluA2 mice and PV-Cre;lsl-eGFP controls showed no expression changes in 278 out of 279 genes comprising the major classes of ion channels and excitatory/inhibitory synapse proteins.
Read the full summary ↓
This lack of expression changes suggests a post-transcriptional regulation of intrinsic and extrinsic (synaptic) excitability. The exception was GluA2 mRNA, which was expressed ~2 fold compared to control PV interneurons, in agreement with protein measurements. GluA1, although downregulated at protein level, was unchanged at the mRNA level. These transcriptomic results suggest that the substantial changes in PV interneuron excitability after CP-AMPAR removal are not supported by changes in gene expression but likely reflect post-transcriptional regulation.
This dataset
Open GSE262872 in finder → Find more mouse RNA-seq datasets →
Download · which file do I need?

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.

1 · Just have a look

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.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE262872_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

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.

Raw reads on ENA ↗

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 PRJNA1094422 and SRA study SRP498825. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
9 × PV neurons, PV-Cre lsl-eGFP, biol vs 7 × PV neurons, PV-Cre lsl-eGFP-GluA2, biol

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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.

Samples in this study
Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

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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.