GEO series

Multi-omics Profiling of the Lateral Ventricle Choroid Plexus Reveals Temporal Cellular Remodeling, Early Immune Gene Activation, and a Novel Epithelial Subtype [snMultiome]

GSE296841 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 12 samples Submitted 2025/05/19 Platform GPL34290

At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 12 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: 12 samples
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)

Healthy brain development and function highly depend on the choroid plexus. Temporal alterations in the cellular landscape and gene expression of choroid plexus cells, whether in health or disease, can alter immune cell trafficking in the brain and cerebrospinal fluid composition, ultimately impacting brain dynamics. Here, we performed a comprehensive multi-omics analysis—including bulk and single-cell transcriptomics and epigenomics—of the lateral ventricle choroid plexus across early postnatal and adult stages in mice and rats.

Read the full summary ↓

We uncovered striking fluctuations in the choroid plexus cellular composition from neonatal to adult stages, accompanied by transcriptional remodeling of all main cell types. Immune profiling revealed a marked increase in immune cells in adulthood and an altered cell-type diversity through time. Surprisingly, we observed an early activation of host-defense genes in choroid plexus cell, beginning in the neonatal period and progressively increasing into young adulthood. Epithelial cells exhibited subtype diversity and plasticity, with distinct gene expression programs and chromatin accessibility profiles emerging over time. Notably, we identified a previously unrecognized epithelial cell subtype with unique gene markers suggesting a specialized function. Ligand-receptor interaction analysis revealed a progressive remodeling of cellular crosstalk networks during CP maturation, suggesting dynamic intercellular signaling as the tissue develops. Our study offers a comprehensive atlas of gene activity and chromatin accessibility in the lateral ventricle CP cells, providing a valuable resource to guide future efforts in targeting gene expression at the CP for therapeutical purposes.

This dataset

Open GSE296841 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 GSE296841_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: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1261810 and SRA study SRP584542. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 12 more — browse all 12 samples with per-sample file links →

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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.