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Effects of attenuating astrocytic Ca2+ activity in the medial prefrontal cortex with iβARK on transcriptional profiles in 5xFAD mice

GSE283790 Mus musculus (mouse) RNA-seq (gene expression) 25 samples Submitted 2026/02/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 25 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
25 samples: 6 conditions, mostly with about 4 replicates eachGroups 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)
We injected adeno-associated viruses (AAV2/5) carrying an inhibitory peptide derived from β-adrenergic receptor kinase 1 (iβARK), tagged with mCherry for identification, into the medial prefrontal cortex (mPFC) of 5xFAD mice. This strategy aimed to attenuate Gq GPCR-induced Ca2+ activity in astrocytes. In the control group, mice were injected with AAV2/5 expressing only mCherry.
Read the full summary ↓
Subsequently, RNA sequencing analysis was conducted on the mPFC tissue samples from these mice, enabling a comparative assessment of transcriptomic alterations and an exploration of the potential implications resulting from the modulation of Gq-GPCR signaling.
This dataset
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.

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 GSE283790_RAW.tar (it can run to tens of gigabytes).

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.

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 PRJNA1195586 and SRA study SRP550069. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
female, WT-mCherry, ×5 female, 5xFAD-mCherry, ×5 male, WT-mCherry, ×4 male, 5xFAD-mCherry, ×4 female, 5xFAD-iβARK, ×4 male, 5xFAD-iβARK, ×3

Supports a between-group comparison across 25 samples.

How we read this: 6 replicated groups read from 25 sample titles; they account for 25 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
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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.