← BioTransfer GEO Dataset Finder
GEO series

Chromatin Accessibility Analysis Reveals Regulatory Dynamics in hESC-Derived Kidney Organoids [ATAC-seq]

GSE277921 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 13 samples Submitted 2026/07/27 Platform GPL24676
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 13 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
13 samples: 6 × ATAC-seq-H9_D vs 6 × ATAC-seq-H9_DOT1L_KO_DGroups 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.
Summary (written by the submitters)
Kidney organoid model can better simulate the development process, thereby providing an optimal platform for elucidating the mechanisms underlying human kidney development. In this study, we systematically characterized the chromatin availability dynamics and transcriptional regulation during the induction of human embryonic stem cells (hESCs) into kidney organoids (E-iKOs) for the first time.
Read the full summary ↓
We demonstrated that HNF1B is essential for nephrogenesis, as its deficiency results in absence of tubule structures. Furthermore, DOT1L, a histone H3K79 methyltransferase, is activated during E-iKOs induction and is predominantly responsible for opening pivotal loci and promotes the mesenchymal to epithelial transition (MET) required for kidney epithelial differentiation. Collectively, our study provides valuable resources and insights into the mechanistic study of human kidney development in vitro at the chromatin remodeling level.
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 GSE277921_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 PRJNA1164756 and SRA study SRP534473. Searching any of these in the dataset finder brings you back here.

Study design
6 × ATAC-seq-H9_D vs 6 × ATAC-seq-H9_DOT1L_KO_D

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 13 sample titles; they account for 12 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 human ChIP / ATAC / CUT&Tag 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.