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Multi-omics profiling of retinal pigment epithelium reveals enhancer-driven activation of RANK-NFATc1 signaling in traumatic proliferative vitreoretinopathy [ChIP-seq]

GSE244809 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 42 samples Submitted 2024/08/13 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 42 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
42 samples: 16 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
Multi-omics profiling of retinal pigment epithelium reveals enhancer-driven activation of RANK-NFATc1 signaling in traumatic proliferative vitreoretinopathyNature communications · 2024
Summary (written by the submitters)
During the progression of proliferative vitreoretinopathy (PVR) following ocular trauma, previously quiescent retinal pigment epithelium (RPE) transition into a state of rapid proliferation, migration, and secretion. The elusive molecular mechanisms behind these changes have hindered the development of effective pharmacological treatments, presenting a pressing clinical challenge.
Read the full summary ↓
In this study, by monitoring the dynamic changes in chromatin accessibility and various histone modifications, we charted the comprehensive epigenetic landscape of RPE in traumatic PVR. Coupled with transcriptomic analysis, we reveled a robust correlation between enhancer activation and the upregulation of the PVR-associated gene programs. Furthermore, by constructing transcription factor regulatory networks, we identified the aberrant activation of enhancer-driven RANK-NFATc1 pathway as PVR advanced. Importantly, we demonstrated that intraocular interventions, including nanomedicines inhibiting enhancer activity, gene therapies targeting NFATc1 and antibody therapeutics against RANK pathway, effectively mitigate PVR progression. Together, our findings elucidate the epigenetic basis underlying the activation of PVR-associated genes during RPE cell fate transitions and offer promising therapeutic avenues targeting epigenetic modulation and the RANK-NFATc1 axis for PVR management.
Published in
Multi-omics profiling of retinal pigment epithelium reveals enhancer-driven activation of RANK-NFATc1 signaling in traumatic proliferative vitreoretinopathy
Liao M, Zhu X, Lu Y et al. · Nature communications 2024 · PMID 39183203 · doi:10.1038/s41467-024-51624-y
This dataset
Open GSE244809 in finder → Find more mouse ChIP / ATAC / CUT&Tag 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 GSE244809_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 PRJNA1024938 and SRA study SRP464893. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 39183203) ↗
Study design
16 conditions, mostly in duplicate
Normal_K27ac ×3 PVR_K27ac ×3 Normal_Input ×3 PVR_Input ×3 Normal_K4me ×2 PVR_K4me ×2 Normal_K27me3 ×2 Normal_K4me1 ×2 +14 more

Supports a between-group comparison across 36 samples.

How we read this: 16 replicated groups read from 42 sample titles; they account for 36 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

+ 2 more — browse all 42 samples with per-sample file links →

Datasets on a similar topic

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