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ISL1 and POU4F1 Directly Interact to Regulate the Differentiation and Survival of Inner Ear Sensory Neurons

GSE233840 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 20 samples Submitted 2024/05/31 Platform GPL21103
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 20 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
20 samples: 7 conditions, mostly in triplicateGroups 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
ISL1 and POU4F1 Directly Interact to Regulate the Differentiation and Survival of Inner Ear Sensory NeuronsThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
Summary (written by the submitters)
Isl1 and Pou4f1 regulate a unique set of CVG gene cooperatively or individually. GO term analysis shows these genes are crucial for CVGs development. To estimate Isl1 and Pou4f1 directly or indirectly regulate these downstream genes and how they act to affect these genes, we performed the CUT&Tag of ISL1 and POU4F1 with the histone modifications, H3K4me3, H3K27ac and H3K27me3 in CVGs. The identity of the peaks were characterized and big chromatin profiles were obtained.
Published in
ISL1 and POU4F1 Directly Interact to Regulate the Differentiation and Survival of Inner Ear Sensory Neurons
Xu M, Li S, Xie X et al. · The Journal of neuroscience : the official journal of the Society for Neuroscience 2024 · PMID 38267260 · doi:10.1523/JNEUROSCI.1718-23.2024
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 GSE233840_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 PRJNA978073 and SRA study SRP440456. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in triplicate
E11_5_CVG_ISL1_70 ×3 E11_5_CVG_IgGR ×3 E11_5_CVG_IgGM ×3 E11_5_CVG_H3K27me3 ×3 E11_5_CVG_H3K27ac ×3 E11_5_CVG_POU4F1 ×2 E11_5_CVG_H3K4me3 ×2 E11_5_CVG_ISL1_26 ×1

Supports a between-group comparison across 19 samples.

How we read this: 7 replicated groups read from 20 sample titles; they account for 19 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

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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.