← BioTransfer GEO Dataset Finder
GEO series

A Ketogenic Diet Sensitizes Pancreatic Cancer to Glutamine Metabolism Inhibitors

GSE320214 Mus musculus (mouse) RNA-seq (gene expression) 10 samples Submitted 2026/02/27 Platform GPL25723
At a glance

RNA-seq (gene expression) · mouse · 10 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
Mus musculus (mouse)
Samples
10 samples: 5 × MIA-PaCa2 Tumors, Ctl Diet, vs 5 × MIA-PaCa2 Tumors, Keto Diet,Groups 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
A ketogenic diet sensitizes pancreatic cancer to glutamine metabolism inhibitorsCell reports. Medicine · 2026
Summary (written by the submitters)
Pancreatic cancer is the third leading cause of cancer-related death in the United States. Current chemotherapy options provide limited benefits. Emerging evidence suggests that a ketogenic diet (KD) exerts anti-tumor effects by reprogramming tumor metabolism and revealing therapeutic vulnerabilities1. Efforts to target glutamine metabolism—an essential pathway in many cancers—have shown promise in preclinical models, clinical efficacy has remained limited.
Read the full summary ↓
Here, we show that a KD increases tricarboxylic acid (TCA) cycle activity and elevates reliance on glutamine-related metabolites in murine pancreatic cancer models and in vitro under KD-mimicking conditions. This metabolic adaptation occurs in response to reduced glucose availability. We demonstrate that combining glutamine metabolism inhibitors, such as CB839 or 6-diazo-5-oxo-L-norleucine (DON), with a KD leads to robust anti-tumor effects in preclinical models of pancreatic cancer. Thus, metabolic vulnerability induced by dietary intervention provides a rationale for combining glutamine-targeted therapies with a ketogenic diet in future clinical studies.
Published in
A ketogenic diet sensitizes pancreatic cancer to glutamine metabolism inhibitors
Hajihassani O, Roichman A, Boyer JA et al. · Cell reports. Medicine 2026 · PMID 42030935 · doi:10.1016/j.xcrm.2026.102770
This dataset
Open GSE320214 in finder → Find more mouse 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 GSE320214_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 PRJNA1427163 and SRA study SRP678763. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42030935) ↗
Study design
5 × MIA-PaCa2 Tumors, Ctl Diet, vs 5 × MIA-PaCa2 Tumors, Keto Diet,

Supports a between-group comparison across 10 samples.

How we read this: 2 replicated groups read from 10 sample titles; they account for 10 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

Search all mouse 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.