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Elevated synaptic PKA activity and abnormal striatal dopamine signaling in Akap11 mutant mice, a genetic model of schizophrenia and bipolar disorder [bulkSeq]

GSE272097 Mus musculus (mouse) RNA-seq (gene expression) 181 samples Submitted 2025/07/11 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 181 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
181 samples: 36 conditions, mostly with about 5 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)
Loss-of-function mutations in AKAP11 (a protein kinase A (PKA)-binding protein) greatly increase the risk of bipolar disorder and schizophrenia. To determine the neurobiological functions of AKAP11 and the consequences of its absence, we conducted multi-omic analyses of Akap11 mutant mouse brains. We find that AKAP11 is a key regulator of PKA proteostasis in the brain whose loss leads to dramatically elevated PKA expression and phosphorylation, especially in synapses.
Read the full summary ↓
Transcriptomic analysis shows extensive gene expression changes throughout the brain, including prominent decreases in synapse-related genes sets. Gene expression is especially affected in spiny projection neurons of the striatum, a brain region implicated in motivation, cognition and psychiatric disorders. In vivo, real-time measurements of PKA activity in ventral striatum of Akap11-/- mice revealed constitutively elevated kinase activity, which distorts dopamine to PKA signaling. Our work reveals the molecular basis of circuit dysfunction in a genetically valid model of psychotic disorder.
This dataset
Open GSE272097 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 GSE272097_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: 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 PRJNA1134707 and SRA study SRP519342. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
36 conditions, mostly with about 5 replicates each
4-week HP Akap11 WT Bulk RNA-seq Sample ×6 4-week SSC Akap11 +/- Bulk RNA-seq Sample ×6 4-week TH Akap11 WT Bulk RNA-seq Sample ×6 4-week HP Akap11 +/- Bulk RNA-seq Sample ×5 4-week HP Akap11 -/- Bulk RNA-seq Sample ×5 12-week HP Akap11 +/- Bulk RNA-seq Sample ×5 12-week HP Akap11 -/- Bulk RNA-seq Sample ×5 12-week HP Akap11 WT Bulk RNA-seq Sample ×5 +28 more

Supports a between-group comparison across 181 samples.

How we read this: 36 replicated groups read from 181 sample titles; they account for 181 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

+ 141 more — browse all 181 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.