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A gene expression profiling study to identify distinct molecular markers in formalin-fixed, paraffin-embedded samples of Pseudomyxoma Peritonei [FFPE]

GSE228375 Homo sapiens (human) RNA-seq (gene expression) 34 samples Submitted 2024/10/09 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 34 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
34 samples: 34 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
Molecular characterization of Pseudomyxoma peritonei with single-cell and bulk RNA sequencingScientific data · 2025
Summary (written by the submitters)
The purpose of this study is to evaluate gene expression changes and identify characteristics in patients with Pseudomyxoma Peritonei (PMP). We analyzed RNA-seq data from 34 formalin-fixed paraffin-embedded (FFPE) samples, including 25 PMPs (validation cohort), to identify gene signatures associated with the development of PMP. We confirmed protein expression levels using a tissue microarray (TMA) cohort of PMP patients.
Read the full summary ↓
Through analyzing the differences in gene expression between normal tissues and PMP, we identified statistically significant gene groups, and confirmed the biological functions and pathways associated with these gene groups.
Published in
Molecular characterization of Pseudomyxoma peritonei with single-cell and bulk RNA sequencing
Ha YJ, Park SH, Kim SK et al. · Scientific data 2025 · PMID 39910051 · doi:10.1038/s41597-025-04561-4
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 GSE228375_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 PRJNA949590. Searching any of these in the dataset finder brings you back here.

Study design
34 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 34 sample titles: 34 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
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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.