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Single-cell RNA-seq profiling of pleural mesothelioma and comparator pleural specimens

GSE327167 Homo sapiens (human) Single-cell RNA-seq 113 samples Submitted 2026/04/07 Platform GPL18573Platform GPL24676
At a glance

Single-cell RNA-seq · human · 113 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart.
Organism
Homo sapiens (human)
Topic
MesotheliomaThis series is part of our curated briefing on it.
Samples
113 samples: 14 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
Multiomic, Histologic, and scRNA-seq Profiling of Pleural Mesothelioma Reveals Negative Prognosis Associated With a Novel Uncommitted Molecular PhenotypeJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
Summary (written by the submitters)
This GEO submission contains processed single-cell RNA sequencing data generated using the Seq-Well platform from pleural mesothelioma tumors and comparator pleural specimens. Raw sequencing data are available through controlled access in dbGaP under accession phs004285. Processed expression matrices and cell-level metadata for the single-cell libraries are provided in this submission.
Published in
Multiomic, Histologic, and scRNA-seq Profiling of Pleural Mesothelioma Reveals Negative Prognosis Associated With a Novel Uncommitted Molecular Phenotype
Severson DT, Freyaldenhoven S, Wadowski B et al. · Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer 2026 · PMID 41319863 · doi:10.1016/j.jtho.2025.11.019
This dataset
Open GSE327167 in finder → Find more human RNA-seq datasets → Mesothelioma landscape →
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 GSE327167_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: Single-cell studies usually ship their counts as 10x files (matrix.mtx, barcodes.tsv, features.tsv), an .h5 file, or an .rds / .h5ad object that Seurat or Scanpy can open. Look for those among the supplementary files.

Also filed as BioProject PRJNA1449559. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41319863) ↗
Study design
14 conditions, mostly in triplicate
Pleural mesothelioma, tumor, sample ×73 Pleural mesothelioma, tumor, sample 185540, ×6 Peripheral nerve sheath tumor, tumor, sample ×4 Pleural mesothelioma, tumor, sample 104124, t… ×3 Pleural mesothelioma, tumor, sample 114626, t… ×3 Pleural mesothelioma, tumor, sample 151311, t… ×3 Pleural mesothelioma, tumor, sample 179872, t… ×3 Pleural mesothelioma, tumor, sample 193332, t… ×3 +8 more

Supports a between-group comparison across 111 samples.

How we read this: 14 replicated groups read from 113 sample titles; they account for 111 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

+ 73 more — browse all 113 samples with per-sample file links →

More Mesothelioma datasets

Search all human 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.