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ETV2/ER71 regulates hematovascular lineage generation and vascularization through an H3K9 demethylase, KDM4A

GSE251753 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 30 samples Submitted 2024/12/10 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 30 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
30 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)
ETV2/ER71, an ETS transcription factor, is critical for hematopoiesis and vascular development. However, knowledge on the molecular mechanisms behind ETV2-mediated gene transcription is limited. Here, we show that ETV2 together with KDM4A, an H3K9 demethylase, regulates hematopoietic and endothelial genes. Etv2-/- mouse embryonic stem cells (mESCs), which fail to generate hematopoietic and endothelial cells, showed enhanced levels of H3K9me3 on hematopoietic and endothelial genes.
Read the full summary ↓
ETV2 interacts with KDM4A and the ETV2-mediated transcriptional activation of hematopoietic and endothelial genes is dependent on KDM4A histone demethylase activity. ETV2 and KDM4A co-occupy the transcription regulatory regions of genes whose expression is directly regulated by ETV2. Mice lacking Kdm4a and Etv2 in endothelial cells (Cdh5Cre;Kdm4af/f;Etv2f/f) displayed a more severe defect in perfusion recovery and neovascularization compared with Cdh5Cre;Kdm4af/f, Cdh5Cre;Etv2f/f mice and controls. Collectively, we demonstrated that ETV2 interacts with KDM4A and that this interaction is critical for FLK1+ cell generation, differentiation into the downstream lineages, and vascular regeneration.
This dataset
Open GSE251753 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 GSE251753_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 PRJNA1055162. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
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