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Neuronal Activity Suppresses NEUROD-Dependent Transcription and Genome Organization [RNA-Seq]

GSE310753 Mus musculus (mouse) RNA-seq (gene expression) 73 samples Submitted 2026/01/09 Platform GPL21626
At a glance

RNA-seq (gene expression) · mouse · 73 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
73 samples: 13 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.
Paper
Neuronal Activity Suppresses NEUROD-Dependent Transcription and Genome OrganizationThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
Summary (written by the submitters)
Neuronal activity induces gene expression programs associated with plasticity in the brain, but it also transiently suppresses gene expression through poorly understood mechanisms. Here, we report that neuronal activity downregulates NEUROD-dependent gene expression in cerebellar granule neurons in adult mice. Using NEUROD1/2 double conditional knockout mice of both sexes, we show that NEUROD binds and activates its target gene enhancers and establishes a three-dimensional genome architecture that facilitates transcription when neuronal activity is low.
Read the full summary ↓
Moreover, NEUROD antagonizes activity-dependent gene expression programs, including those regulated by MEF2. However, when granule neurons are activated, NEUROD-dependent transcriptional and genome organizing functions are disrupted. Together, these findings reveal NEUROD as a key regulator of transcriptional programs associated with inactive neurons. Our study provides new insights into how neuronal activity reshapes gene transcription and genome architecture in the brain.
Published in
Neuronal Activity Suppresses NEUROD-Dependent Transcription and Genome Organization
Valnegri P, Yamada T, Yang Y · The Journal of neuroscience : the official journal of the Society for Neuroscience 2026 · PMID 41513463 · doi:10.1523/JNEUROSCI.1565-25.2025
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 GSE310753_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 PRJNA1367027 and SRA study SRP648324. Searching any of these in the dataset finder brings you back here.

Study design
13 conditions, mostly with about 4 replicates each
RNA-seq ADCV, chromatin fraction, Adult homec… ×27 RNA-seq ADCV, chromatin fraction, Adult 30m o… ×5 RNA-seq ADCV, Adult ctrl, ×4 RNA-seq ADCV, Adult nd1 cKO, ×4 RNA-seq ADCV, Adult nd2 cKO, ×4 RNA-seq ADCV, Adult nd1/2 dcKO, ×4 RNA-seq ADCV, chromatin fraction, Adult 10m o… ×4 RNA-seq ADCV, chromatin fraction, Adult 30m o… ×4 +5 more

Supports a between-group comparison across 73 samples.

How we read this: 13 replicated groups read from 73 sample titles; they account for 73 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

+ 33 more — browse all 73 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.