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Assessment of chromatin state changes during human cortical interneuron development

GSE239400 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 91 samples Submitted 2024/04/18 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 91 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
Homo sapiens (human)
Samples
91 samples: 25 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
Defining cis-regulatory elements and transcription factors that control human cortical interneuron developmentiScience · 2024
Summary (written by the submitters)
We have used our protocol for generating cortical interneurons from human embryonic stem cells to study chromatin state changes during cortical interneuron development. This allows for the identification of cis-regulatory elements and transcription factors which play important roles in this process. Samples were collected at day 0 (hESCs), day 15 (ventral telencephalic patterned medial ganglionic eminence-like (MGE) progenitors), day 35 (immature interneurons), and day 60 (mature interneurons).
Read the full summary ↓
Day 15 dorsal telencephalic cortical-like neural progenitors were also obtained by using a dual Smad inhibition protocol for comparison with ventral telencephalic MGE-like progenitors.
Published in
Defining cis-regulatory elements and transcription factors that control human cortical interneuron development
Chapman G, Determan J, Jetter H et al. · iScience 2024 · PMID 38827400 · doi:10.1016/j.isci.2024.109967
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 GSE239400_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 PRJNA999225 and SRA study SRP451778. Searching any of these in the dataset finder brings you back here.

Study design
25 conditions, mostly in triplicate
H9 WT D0 H3K4me3 ×6 H9 WT D0 H3K27ac ×5 H9 WT D0 H3K27me3 ×5 WT D15-V H3K4me3 ×4 WT D15-D H3K27ac ×4 WT D15-D H3K27me3 ×4 WT D15-D H3K4me3 ×4 WT D15-D H3K9me3 ×4 +17 more

Supports a between-group comparison across 91 samples.

How we read this: 25 replicated groups read from 91 sample titles; they account for 91 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

+ 51 more — browse all 91 samples with per-sample file links →

Datasets on a similar topic

Search all human ChIP / ATAC / CUT&Tag datasets in GEO →

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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.