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Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edema

GSE291471 Homo sapiens (human) RNA-seq (gene expression) 83 samples Submitted 2025/12/18 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 83 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
83 samples: 5 conditions, mostly with about 22 replicates eachGroups 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
Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edemaBioscience reports · 2025
Summary (written by the submitters)
Despite the well-known role of hypoxia-driven inflammatory mediators in the pathogenesis of hypoxic pulmonary hypertension, their involvement in high-altitude (HA) illnesses, particularly high-altitude pulmonary edema (HAPE), remains unclear. The present study uses an integrated clinical, transcriptomic, proteomic, and long noncoding RNA (lncRNA) profiling of 83 individuals, including HAPE patients segregated into mild, moderate, and severe categories, HAPE-free sojourners, and long-term HA residents, to highlight the molecular and immunological changes associated with HAPE and its severity.
Read the full summary ↓
Clinical assessments revealed significantly reduced peripheral oxygen saturation and elevated respiratory parameters in HAPE patients. Differential gene expression and functional enrichment analyses identified 515 significantly differentially expressed genes, with marked enrichment of inflammatory and hypoxia-associated pathways. Protein-protein interaction network analysis revealed eighteen hub genes, including toll-like receptor (TLR) 2 and Forkhead box O3 (FOXO3), with strong diagnostic potential. Immune cell deconvolution analysis and hematological profiling indicated a prominent increase in neutrophil proportion. Interestingly, oncostatin M (OSM), a hypoxia-regulated predominant cytokine produced by neutrophils, was revealed in the cytokine and transcriptomic profiling, highlighting its role in inflammation and extracellular matrix degradation. Co-expression network analysis notably revealed significant alterations that formed a gene module exhibiting a strong correlation with immune response, leukocyte adhesion, and ncRNA processing pathways. Interestingly, these co-expressed partners, LINC01093 and immune-regulatory genes like interleukin-18 receptor 1 and TLR5, appear to regulate the NF-κB signaling pathway, one of the positively enriched pathways in our analysis. Overall, this multiomics approach highlighted a strong inflammatory signature and lncRNA-mRNA interactions associated with HAPE.
Published in
Integrative blood profiling uncovers inflammatory network signatures in high-altitude pulmonary edema
Singh K, Kumar G K, Ali M et al. · Bioscience reports 2025 · PMID 41385345 · doi:10.1042/BSR20253746
This dataset
Open GSE291471 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 GSE291471_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 PRJNA1233834 and SRA study SRP569001. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41385345) ↗
Study design
5 conditions, mostly with about 22 replicates each
Highlande ×22 Control ×19 HAPE-Mild ×15 HAPE-Severe ×14 HAPE-Moderate ×13

Supports a between-group comparison across 83 samples.

How we read this: 5 replicated groups read from 83 sample titles; they account for 83 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

+ 43 more — browse all 83 samples with per-sample file links →

Datasets on a similar topic

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