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Regulation of melanoma cellular plasticity by the Mediator complex drives therapeutic resistance

GSE316474 Homo sapiens (human) RNA-seq (gene expression) 66 samples Submitted 2026/04/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 66 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
66 samples: 22 conditions, mostly in triplicateGroups 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)
Melanoma exhibits profound cellular plasticity that enables adaptive responses to therapeutic pressure and ultimately drives treatment resistance. However, the transcriptional mechanisms governing melanoma cell-state transitions remain incompletely understood. Here, we identify the Mediator complex as a central regulator of melanoma cellular plasticity that promotes resistance to targeted therapy.
Read the full summary ↓
Using genetic and pharmacological perturbations, we show that disruption of Mediator function induces melanoma cell-state switching, promotes dedifferentiation programs, characterized by loss of lineage-specific transcriptional programs and activation of survival-associated gene expression, and enhances resistance to MAPK pathway inhibition. Mechanistically, Mediator tail depletion rewires transcriptional networks governing cell identity and adaptive signaling, enabling melanoma cells to bypass MAPK pathway blockade. Collectively, our findings identify the Mediator tail module as a key transcriptional safeguard against melanoma dedifferentiation and reveal its unexpected role in suppressing cellular plasticity–driven resistance to targeted therapy.
This dataset
Open GSE316474 in finder → Find more human RNA-seq 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 GSE316474_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: 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 PRJNA1402975 and SRA study SRP662223. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
22 conditions, mostly in triplicate
A375_GFPsg_DMSO ×3 A375_GFPsg_Vemu ×3 A375_MED12sg1_DMSO ×3 A375_MED12sg1_Vemu ×3 A375_MED12sg2_DMSO ×3 A375_MED12sg2_Vemu ×3 A375_MED19sg1_DMSO ×3 A375_MED19sg1_Vemu ×3 +14 more

Supports a between-group comparison across 66 samples.

How we read this: 22 replicated groups read from 66 sample titles; they account for 66 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

+ 26 more — browse all 66 samples with per-sample file links →

More Melanoma datasets

Search all human RNA-seq 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.