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A marker chromosome in psychosis identifies glycine decarboxylase (GLDC) as a novel negative regulator of excitatory synaptic activity in the hippocampus

GSE230871 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2024/10/21 Platform GPL13112
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 samples: 64 samples, each with a distinct title — no replicated groupsGroups 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 increased copy number of glycine decarboxylase (GLDC) associated with psychosis reduces extracellular glycine and impairs NMDA receptor functionMolecular psychiatry · 2025
Summary (written by the submitters)
The biological significance of a small supernumerary marker chromosome generating a 9p24.1 duplication/triplication including a triplication of the GLDC gene encoding glycine decarboxylase in two patients with psychosis is unclear.
Read the full summary ↓
Performing functional genomic fine-mapping using a series of copy number variant mouse models, we identify that additional copies of Gldc reduce extracellular glycine levels as determined by optical FRET in dentate gyrus (DG) but not in CA1, suppressed long-term potentiation (LTP) in mPP-DG synapses but not in CA3-CA1 synapses, reduced the activity of biochemical pathways implicated in schizophrenia and mitochondrial bioenergetics, and displayed prepulse inhibition, startle habituation, latent inhibition, working memory, sociability and social preference deficits. Our results thus provide a link between a genomic copy number variation, biochemical, cellular and behavioral phenotypes, demonstrating that GLDC negatively regulates excitatory neurotransmission, supporting the view that extra copies of GLDC in the genome may contribute significantly to the development of neuropsychiatric disorders.
Published in
An increased copy number of glycine decarboxylase (GLDC) associated with psychosis reduces extracellular glycine and impairs NMDA receptor function
Kambali M, Li Y, Unichenko P et al. · Molecular psychiatry 2025 · PMID 39210012 · doi:10.1038/s41380-024-02711-5
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 GSE230871_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 PRJNA962890 and SRA study SRP435069. Searching any of these in the dataset finder brings you back here.

Study design
64 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 64 sample titles: 64 distinct titles with little repetition. 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

+ 24 more — browse all 64 samples with per-sample file links →

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.