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Paired Transcriptomic Profiling of Airspace and Peripheral Blood Mononuclear Cells in Severe ARDS

GSE326415 Homo sapiens (human) RNA-seq (gene expression) 63 samples Submitted 2026/07/22 Platform GPL24676Platform GPL32271
At a glance

RNA-seq (gene expression) · human · 63 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
63 samples: 63 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
Alternative splicing of toll-like receptor pathway mRNAs in lung immune cells from patients with ARDSAmerican journal of physiology. Lung cellular and molecular physiology · 2026
Summary (written by the submitters)
The main objective of our study was to determine whether central biologic processes inferred from transcriptomic profiling of distal airspace mononuclear cells are reflected among circulating peripheral blood mononuclear cells (PBMCs) during the acute phase of ARDS. To compare mononuclear cells from the airspaces and bloodstream we collected paired peripheral blood and non-bronchoscopic BAL (NBBAL) samples from mechanically ventilated patients with severe ARDS and enriched for mononuclear cells using density centrifugation and cryopreservation.
Read the full summary ↓
We then performed bulk RNA sequencing and evaluated gene expression profiles and gene expression networks between compartments.
Published in
Alternative splicing of toll-like receptor pathway mRNAs in lung immune cells from patients with ARDS
Janssen WJ, Lapinig M, Wynn E et al. · American journal of physiology. Lung cellular and molecular physiology 2026 · PMID 42313146 · doi:10.1152/ajplung.00128.2026
This dataset
Open GSE326415 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 GSE326415_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 PRJNA1445207 and SRA study SRP687807. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 42313146) ↗
Study design
63 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 63 sample titles: 63 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

+ 23 more — browse all 63 samples with per-sample file links →

Datasets on a similar topic

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.