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RNA sequencing data of primary cancer-associated fibroblasts (CAF) isolated from fresh ex vivo germ cell tumor (GCT) patient tissue

GSE229047 Homo sapiens (human) RNA-seq (gene expression) 19 samples Submitted 2024/06/21 Platform GPL21290
At a glance

RNA-seq (gene expression) · human · 19 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
Testicular cancerThis series is part of our curated briefing on it.
Samples
19 samples: 6 × SE-CAF vs 3 × EC-CAF vs 3 × TE-CAF vs 2 × Mix-CAFGroups 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 and epigenetic ex vivo profiling of testis cancer-associated fibroblasts and their interaction with germ cell tumor cells and macrophagesMatrix biology : journal of the International Society for Matrix Biology · 2024
Summary (written by the submitters)
Single eng 3' RNA sequencing of primary CAF isolated from fresh ex vivo GCT patient tissue. Purity of CAF populations were verified by qPCR analysis of common CAF, GCT, endothelial and epithelial markers. 14 different CAF cultures from distinct GCT subtypes (seminoma(SE), non-seminoma(NS)) and 5 non-malignant fibroblast cultures were analyzed.
Published in
Molecular and epigenetic ex vivo profiling of testis cancer-associated fibroblasts and their interaction with germ cell tumor cells and macrophages
Stephan A, Suhrmann JH, Skowron MA et al. · Matrix biology : journal of the International Society for Matrix Biology 2024 · PMID 38851302 · doi:10.1016/j.matbio.2024.06.001
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 GSE229047_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 PRJNA952637 and SRA study SRP431142. Searching any of these in the dataset finder brings you back here.

Study design
6 × SE-CAF vs 3 × EC-CAF vs 3 × TE-CAF vs 2 × Mix-CAF

Supports a between-group comparison across 14 samples.

How we read this: 4 replicated groups read from 19 sample titles; they account for 14 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
More Testicular cancer datasets

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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.