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RNA-sequencing of melanoma celllines compared to normal human melanocytes (NHEMs)

GSE284779 Homo sapiens (human) RNA-seq (gene expression) 14 samples Submitted 2024/12/20 Platform GPL11154
At a glance

RNA-seq (gene expression) · human · 14 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Homo sapiens (human)
Topic
MelanomaThis series is part of our curated briefing on it.
Samples
14 samples: 7 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.
Paper
C-Jun drives melanoma progression in PTEN wild type melanoma cellsCell death & disease · 2019
Summary (written by the submitters)
Given that melanomas gain different properties during their progression, 6 different melanoma cell lines (Sbcl-2, WM3211, WM793, WM1366, WM1158, WM9) were selected and categorized by tumor stage (primary tumor (PT), metastasis (MET)) as well as the previously described BRAF and PTEN mutation status. Then, differentially expressed genes in malignant melanoma were identified by performing RNA-Sequencing (RNA-seq) with all aforementioned melanoma cell lines and normal human epidermal melanocytes (NHEM).
Published in
C-Jun drives melanoma progression in PTEN wild type melanoma cells
Kappelmann-Fenzl M, Gebhard C, Matthies AO et al. · Cell death & disease 2019 · PMID 31378787 · doi:10.1038/s41419-019-1821-9
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 GSE284779_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: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA839865 and SRA study SRP376207. Searching any of these in the dataset finder brings you back here.

Study design
7 conditions, mostly in duplicate
RNA-Seq_human_melanoma_NHEM ×2 RNA-Seq_human_melanoma_Sbcl2 ×2 RNA-Seq_human_melanoma_WM3211 ×2 RNA-Seq_human_melanoma_WM1158 ×2 RNA-Seq_human_melanoma_WM793 ×2 RNA-Seq_human_melanoma_WM9 ×2 RNA-Seq_human_melanoma_WM1366 ×2

Supports a between-group comparison across 14 samples.

How we read this: 7 replicated groups read from 14 sample titles; they account for 14 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
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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.