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Co-option of CENP-A for activity-induced neuronal plasticity

GSE230784 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 8 samples Submitted 2026/07/15 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 8 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
8 samples: 3 × Hippocampi, Saline, vs 3 × Hippocampi, PTZ,Groups 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 report that CENP-A plays a pivotal role in neuronal activation and subsequent memory formation in rodent hippocampus. More specifically, we find that CENP-A containing chromatin controls expression of Immediate Early Genes (IEGs); a set of transcriptional factors crucial for neuronal firing, long-term potentiation and memory formation.
Read the full summary ↓
Downregulation of CENP-A impairs IEGs expression and causes memory defects. Furthermore, we show that this behavior of CENP-A is evolutionary conserved between rodents and humans, whereby human forebrain organoids display a similar dependency on CENP-A expression for neuronal activation. Therefore, we attribute a novel, mitotic-independent role to CENP-A in hippocampal neurons, thus providing direct evidence that a distinct chromatin state is a necessary requirement for memory formation. CENP-A Chip seq on dissected hippocampi from C57BL/6 mice. Paired experiement includes 4 mice per condition, total of 3 replicate experiments. Each experiment contains control group (Untreated) and PTZ-treated group.
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 GSE230784_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA962563 and SRA study SRP434914. Searching any of these in the dataset finder brings you back here.

Study design
3 × Hippocampi, Saline, vs 3 × Hippocampi, PTZ,

Supports a between-group comparison across 6 samples.

How we read this: 2 replicated groups read from 8 sample titles; they account for 6 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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