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GETomics based bulk-RNA sequencing revealed HIF-3α prevents COPD by inhibiting alveolar epithelial cell ferroptosis via the HIF-3α-GPx4 axis.

GSE275503 Homo sapiens (human) Single-cell RNA-seq 36 samples Submitted 2024/10/09 Platform GPL24676
At a glance

Single-cell RNA-seq · human · 36 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
36 samples: 9 × H vs 9 × S vs 9 × E vs 9 × CGroups 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
Hypoxia inducible factor (HIF) 3α prevents COPD by inhibiting alveolar epithelial cell ferroptosis via the HIF-3α-GPx4 axisTheranostics · 2024
Summary (written by the submitters)
COPD patients are largely asymptomatic until later stages when prognosis is generally poor. Here, by shifting the focus forward to pre-COPD and smoking stages, we found the peak of reactive oxygen species (ROS) level and hypoxia character are enriched in pre-COPD samples, and hypoxia inducible factor (HIF)-3α is the key factor. Smoking induced regional tissue hypoxia and emphysema have been found in COPD patients.
Read the full summary ↓
However, the mechanisms underlying hypoxia especially HIF-3α and COPD have not been investigated. In this study, by leveraging scRNA-seq and EpCAM co-localization analysis we identified HIF-3α is downregulated in alveolar epithelial cells in COPD. In vitro experiments using lentivirus transfection, bulk-RNA seq and RSL3 we found the activation of HIF-3α-GPx4 axis inhibits alveolar epithelial cell ferroptosis under the treatment of cigarettes smoking extracts (CSE). Further results from SftpcCreert2/+R26LSL-Hif3a knock-in mice demonstrated overexpression of HIF-3α inhibits alveolar epithelial cells ferroptosis and prevents the declining of lung function. Our data suggest the activation of HIF-3α-GPx4 axis prevents COPD by inhibiting alveolar epithelial cells ferroptosis. By leveraging this comprehensive analysis method, more promising treatment targets will be found and enhance our understanding to the pathogenesis.
Published in
Hypoxia inducible factor (HIF) 3α prevents COPD by inhibiting alveolar epithelial cell ferroptosis via the HIF-3α-GPx4 axis
Jiang J, Zheng Z, Chen S et al. · Theranostics 2024 · PMID 39310101 · doi:10.7150/thno.99237
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 GSE275503_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: 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 PRJNA1151128 and SRA study SRP534215. Searching any of these in the dataset finder brings you back here.

Study design
9 × H vs 9 × S vs 9 × E vs 9 × C

Supports a between-group comparison across 36 samples.

How we read this: 4 replicated groups read from 36 sample titles; they account for 36 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
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