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Lipotoxic fingerprints in clinically relevant postoperative pancreatic fistula

GSE319229 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)
Samples
72 samples: 36 × 50Groups 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
Lipid signatures in two functionally selected effluents from clinically relevant postoperative pancreatic fistulas are associated with graded, cell type-specific transcriptional responsesScientific reports · 2026
Summary (written by the submitters)
This study investigates lipotoxic stress responses induced by postoperative pancreatic fistula (CR-POPF) effluents in non-malignant stromal cell types relevant for anastomotic healing. Postoperative drain effluents from patients undergoing pancreatoduodenectomy were characterized by gas chromatography–mass spectrometry to identify lipolysis-derived lipid species.
Read the full summary ↓
Based on functional cytotoxicity screening, two CR-POPF effluents with reproducible biological effects were selected for transcriptomic profiling. Primary human peritoneal mesothelial cell preparations and human foreskin fibroblasts were exposed in vitro to patient-derived effluents, a defined lipolysis-derived lipid (monopalmitin), or medium control. RNA sequencing was performed to characterize stimulus-specific transcriptional stress responses. The dataset enables comparative analysis of metabolic, inflammatory, and stress-associated gene expression programs induced by distinct lipolytic stimuli in stromal and mesothelial cells.
Published in
Lipid signatures in two functionally selected effluents from clinically relevant postoperative pancreatic fistulas are associated with graded, cell type-specific transcriptional responses
Lettner JD, Schwarzer M, Lagies S et al. · Scientific reports 2026 · PMID 42493525 · doi:10.1038/s41598-026-63058-1
This dataset
Open GSE319229 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 GSE319229_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 PRJNA1422650 and SRA study SRP676488. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42493525) ↗
Study design
36 × 50

Supports a between-group comparison across 36 samples.

How we read this: 1 replicated groups read from 72 sample titles; they account for 36 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

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

Datasets on a similar topic

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.