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Bridge to transplant using a flow-adaptive extracorporeal total artificial lung system following bilateral pneumonectomy

GSE312053 Homo sapiens (human) Single-cell RNA-seq 23 samples Submitted 2026/01/29 Platform GPL20301
At a glance

Single-cell RNA-seq · human · 23 samples

What it is
Single-cell RNA-seqGene activity measured in thousands of individual cells, so cell types can be told apart. Read from the summary: GEO's own type field only says 'expression profiling by sequencing', so confirm it in the paper.
Organism
Homo sapiens (human)
Samples
23 samples: 23 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
Bridge to transplant using a flow-adaptive extracorporeal total artificial lung system following bilateral pneumonectomyMed (New York, N.Y.) · 2026
Summary (written by the submitters)
Acute respiratory distress syndrome (ARDS), when complicated by secondary pneumonias caused by nosocomial antibiotic-resistant pathogens and septic shock, can carry mortality rates exceeding 80%. We performed single-cell RNA sequencing and Visium HD spatial transcriptomics on an explanted lung from a 33-year-old patient with influenza-associated ARDS complicated by carbapenem-resistant Pseudomonas aeruginosa pneumonia and refractory septic shock.
Read the full summary ↓
Our results demonstrated diffuse and uniform tissue destruction in the affected lung, with dense infiltration by neutrophils, monocyte-derived alveolar macrophages, and activated T cells. We also observed marked expansion of aberrant basaloid epithelial cells and CTHRC1-positive myofibroblasts coexisting with widespread inflammation, accompanied by near-complete loss of normal alveolar architecture. The resulting molecular signatures recapitulated those seen in end-stage fibrotic lung disease and were consistent with irreversible injury rather than a recoverable ARDS phenotype.
Published in
Bridge to transplant using a flow-adaptive extracorporeal total artificial lung system following bilateral pneumonectomy
Yan Y, Chandrasekhar A, Yang HC et al. · Med (New York, N.Y.) 2026 · PMID 41619723 · doi:10.1016/j.medj.2025.100985
This dataset
Open GSE312053 in finder → Find more human 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 GSE312053_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 PRJNA1372126 and SRA study SRP650324. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41619723) ↗
Study design
23 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 23 sample titles: 23 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.