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Thioredoxin interacting protein (TXNIP), a redox regulator, mediates the EPAC-RAP1 signaling dependency of primary melanoma

GSE319527 Homo sapiens (human) RNA-seq (gene expression) 72 samples Submitted 2026/07/29 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 72 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
72 samples: 72 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.
Paper
Thioredoxin interacting protein (TXNIP), a redox regulator, mediates the EPAC-RAP1 signaling dependency of primary melanomaOncogene · 2026
Summary (written by the submitters)
RAP guanine exchange factors EPAC1/2 (Exchange Protein Activated by cyclic AMP) are important signaling proteins. EPACs are important for the growth of cutaneous primary melanoma and loss of dependency on EPACs is associated with melanoma metastatic progression. In this study, employing transformed human melanocytes, we show that activation of EPACs is an early event in malignant transformation, and using chemical inhibition and genetic deletion of EPAC in Braf/Pten mice, we also show that EPACs promote melanoma tumor development and growth.
Read the full summary ↓
Query of the Cancer Genome Atlas (TCGA) and immunohistochemical analysis of melanoma tumors showed that low EPAC mRNA and RAP1-GTP protein correlate with better recurrence free survival of patients with primary melanoma. RNAseq analysis of primary and metastatic melanoma cells treated with an EPAC inhibitor showed that TXNIP, an important regulator of redox homeostasis, is a downstream effector of EPAC signaling. We also show that EPACs promote melanoma growth by regulation of redox homeostasis and mitochondrial ROS through activation of mechanistic target of rapamycin complex 1 (mTORC1) that stabilizes hypoxia-inducible factor 1-alpha (HIF-1α), a transcriptional activator of TXNIP and glycolytic enzymes. Our data suggest that targeting mechanisms employed by melanoma cells to bypass EPAC dependency as a potential therapeutic approach for melanoma.
Published in
Thioredoxin interacting protein (TXNIP), a redox regulator, mediates the EPAC-RAP1 signaling dependency of primary melanoma
Teertam SK, Singh MK, Altameemi S et al. · Oncogene 2026 · PMID 42502103 · doi:10.1038/s41388-026-03895-6
This dataset
Open GSE319527 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 GSE319527_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 PRJNA1423672 and SRA study SRP677079. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42502103) ↗
Study design
72 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 72 sample titles: 72 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

+ 32 more — browse all 72 samples with per-sample file links →

More Melanoma datasets

Search all human RNA-seq datasets in GEO →

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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.