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Effect of pancreatic tumor interstitial fluid media on transcriptional responses in PDAC cells

GSE319951 Homo sapiens (human) RNA-seq (gene expression) 54 samples Submitted 2026/04/15 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 54 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
Pancreatic cancerThis series is part of our curated briefing on it.
Samples
54 samples: 18 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
The HIF-2 transcription factor mediates resistance to ferroptosis in pancreatic cancerMolecular cell · 2026
Summary (written by the submitters)
Local metabolic signals can influence the transcriptional response. To better understand the effect of the microenvironment in pancreatic adenocarcinoma (PDAC), we compared pancreatic tumor interstitial fluid media (TIFM - described by Muir et al., eLife 2023) to regular media in two PDAC cell lines, MiaPaCa and Panc1, under two conditions, normoxia and hypoxia.
Published in
The HIF-2 transcription factor mediates resistance to ferroptosis in pancreatic cancer
Hubbi ME, Wang CL, Suhail Y et al. · Molecular cell 2026 · PMID 41932308 · doi:10.1016/j.molcel.2026.03.007
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 GSE319951_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 PRJNA1425608 and SRA study SRP678119. Searching any of these in the dataset finder brings you back here.

Study design
18 conditions, mostly in triplicate
Bon1 Hypoxia Control ×3 Bon1 Normoxia Control ×3 Hep3B Hypoxia Control ×3 Hep3B Normoxia Control ×3 JP7 Hypoxia TIFM ×3 JP7 Normoxia TIFM ×3 JP8 Hypoxia TIFM ×3 JP8 Normoxia TIFM ×3 +10 more

Supports a between-group comparison across 54 samples.

How we read this: 18 replicated groups read from 54 sample titles; they account for 54 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

+ 14 more — browse all 54 samples with per-sample file links →

More Pancreatic cancer 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.