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Identification of H3K27ac marks influenced by FOXA2 and/or mutant KRAS in BEAS-2B transformed human bronchial epithelial cells

GSE210081 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 16 samples Submitted 2025/07/01 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 16 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
16 samples: 8 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.
Summary (written by the submitters)
In order to identify H3K27ac enhancer marks influenced by FOXA2 and/or KRAS.G12V, BEAS-2B cells were infected with lentivirus carrying rat FOXA2 and/or retrovirus carrying human KRAS.G12V. FOXA2 and/or KRAS.G12V-expressing BEAS-2B cells were used for chromatin immunoprecipitation-sequencing (ChIP-seq) to detect genome-wide H3K27ac positive regions.
This dataset
Open GSE210081 in finder → Find more human 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 GSE210081_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 PRJNA863627 and SRA study SRP388802. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
8 conditions, mostly in duplicate
BEAS-2B_input for Control ×2 BEAS-2B_Control ×2 BEAS-2B_input for KRAS.G12V ×2 BEAS-2B_KRAS.G12V ×2 BEAS-2B_input for Foxa2 ×2 BEAS-2B_Foxa2 ×2 BEAS-2B_input for KRAS.G12V;Foxa2 ×2 BEAS-2B_KRAS.G12V;Foxa2 ×2

Supports a between-group comparison across 16 samples.

How we read this: 8 replicated groups read from 16 sample titles; they account for 16 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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