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Genome-wide maps of transcriptomic and epigenomic state in melanoma cell lines

GSE134459 Homo sapiens (human) ChIP-seq / ATAC-seq (genome binding and open chromatin) 73 samples Submitted 2019/09/23 Platform GPL16791
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · human · 73 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
73 samples
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)
A mechanistic relationship between tumor epigenetic plasticity and nongenetic adaptive resistance to therapy is described, with MAPK inhibition of BRAF-mutant melanoma cells providing the model system. Upon inhibition, these largely melanocytic cells undergo reversible cell-state changes, ultimately yielding a drug-resistant mesenchymal-like phenotype.
Read the full summary ↓
Epigenomic and transcriptomic kinetic studies, coupled with information theory and dynamic system modeling, revealed that, after just 3-days of treatment, RelA drives chromatin remodeling to establish an epigenetic program encoding long-term phenotype changes. Specifically, RelA transcriptionally inhibits SOX10 and NFKBIE through recruiting KDM5B and HDAC1 to down-regulate histone marks H3K4me3 and H3K27ac at their promoter regions. Suppression of SOX10 mediates melanoma regression towards drug-refractory phenotypes. These findings were confirmed in melanoma patients under MAPK inhibitor treatment, providing mechanistic insights into resistance-leading epigenetic reprogramming triggered following drug exposure.
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 GSE134459_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 PRJNA555412 and SRA study SRP215422. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 73 more — browse all 73 samples with per-sample file links →

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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.