← BioTransfer GEO Dataset Finder
GEO series

Reorganization of H3K9me heterochromatin leads the neuronal impairment via the cascading destruction of KDM3B-centered epigenomic network

GSE216694 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 38 samples Submitted 2024/06/18 Platform GPL17021Platform GPL19057Platform GPL21273Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 38 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
38 samples: 14 conditions, mostly in duplicateGroups 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
Reorganization of H3K9me heterochromatin leads to neuronal impairment via the cascading destruction of the KDM3B-centered epigenomic networkiScience · 2024
Summary (written by the submitters)
Histone H3K9 methylated heterochromatin silences repetitive non-coding sequences and lineage-specific genes during development, but how tissue-specific genes escape from heterochromatin in differentiated cells is unclear. Here, we examine age-dependent transcriptomic profiling of terminally differentiated mouse retina to identify epigenetic regulators involved in heterochromatin reorganization.
Read the full summary ↓
The single-cell RNA sequencing analysis reveal a gradual downregulation of Kdm3b in cone photoreceptors during aging. Disruption of Kdm3b (Kdm3b+/-) of 12-month-old mouse retina leads to the decreasing number of cones via apoptosis, and it changes the morphology of cone ribbon synapses. Integration of transcriptome with epigenomic analysis in Kdm3b+/- retinas demonstrate gains of heterochromatin feature in synapse assembly and vesicle transport genes that are downregulated via the accumulation of H3K9me1/2. Contrary, losses of heterochromatin in apoptotic genes exacerbated retinal neurodegeneration. We propose that KDM3B-centered epigenomic network is crucial for balancing of cone photoreceptor homeostasis via the modulation of gene-set specific heterochromatin features during aging.
Published in
Reorganization of H3K9me heterochromatin leads to neuronal impairment via the cascading destruction of the KDM3B-centered epigenomic network
An MJ, Kim JY, Kim J et al. · iScience 2024 · PMID 39165843 · doi:10.1016/j.isci.2024.110380
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 GSE216694_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 PRJNA894996 and SRA study SRP404879. Searching any of these in the dataset finder brings you back here.

Study design
14 conditions, mostly in duplicate
Wild type 01M ×3 Wild type 06M ×3 Wild type 12M ×3 Wild type 18M ×3 Kdm3b Hetero 12M ×3 Wild type H3K9me1 ×2 Wild type H3K9me2 ×2 Wild type H3K9me3 ×2 +11 more

Supports a between-group comparison across 33 samples.

How we read this: 14 replicated groups read from 38 sample titles; they account for 33 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
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.