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Melanoma plasticity is regulated by mTOR-mediated crosstalk between MITF and TFE3

GSE273789 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/03/20 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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)
Samples
16 samples: 5 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.
Paper
Antagonistic roles for MITF and TFE3 in melanoma plasticityCell reports · 2025
Summary (written by the submitters)
Bulk RNAseq was performed to identify differences in gene expression in SKMEL28 cells as related to MITF and TFE3 expression.
Published in
Antagonistic roles for MITF and TFE3 in melanoma plasticity
Chang J, Campbell-Hanson KR, Vanneste M et al. · Cell reports 2025 · PMID 40138313 · doi:10.1016/j.celrep.2025.115474
This dataset
Open GSE273789 in finder → Find more human RNA-seq 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 GSE273789_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 PRJNA1143060 and SRA study SRP523752. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 40138313) ↗
Study design
5 conditions, mostly in triplicate
SKMEL28, MITFKO, RNAseq, ×3 SKMEL28, MITFKO, TFE3KO, clone 3, RNAseq, ×3 SKMEL28, MITFKO, TFE3KO, clone 13, RNAseq, ×3 A375, wild type, RNAseq, ×3 A375, TFE3KO, RNAseq, ×3 SKMEL28, wild type, RNAseq, ×1

Supports a between-group comparison across 15 samples.

How we read this: 5 replicated groups read from 16 sample titles; they account for 15 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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