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Genome-wide maps of chromatin state in 142 cancer cell lines [cell line]

GSE142751 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 855 samples Submitted 2026/07/03 Platform GPL11154
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 855 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)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
855 samples: 855 samples, each with a distinct title — no replicated groupsGroups 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)
Epigenetic aberrations are a hallmark of cancer; however, we have limited information on chromatin aberrations present in cancer cells. Here we provide genome-wide maps for histone modification binding for 6 reference histone markers in 145 cancer cell lines belonging to 9 cancer types generating 680 chromatin maps. NMF clustering for H3K27ac-defined enhancers classified cancer cells into 5 distinct subtypes.
Read the full summary ↓
These subtypes were either correlated with the developmental trajectory of original tissue or cell phenotype such as mesenchymal features. We identify a cluster consisting of different tumor types but with a unique enhancer profile and its dependency on key oncogenes. Detailed characterization of bivalent state switches between cancer cells and their normal counterparts identified epithelial-to-mesenchymal driver transcription factors to be activated via this mechanism in breast, GBM and melanomas. Finally, we identify cancer-specific lengthening of H3K4me3 domains on oncogenes and their shortening on specific tumor-suppressors, respectively. Overall, our study provides epigenome reference maps for widely-used cancer cell lines which will be useful for discovery of important principles about chromatin mediated cancer gene regulation.
This dataset
Open GSE142751 in finder → Find more human ChIP / ATAC / CUT&Tag datasets → Melanoma landscape →
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 GSE142751_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 PRJNA598208 and SRA study SRP239104. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
855 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from the first 400 of 855 sample titles: 400 distinct titles with little repetition. 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

+ 815 more — browse all 855 samples with per-sample file links →

More Melanoma datasets

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.