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Integration of transcriptomics, proteomics, phosphoproteomics analysis for characterization of pulmonary arterial hypertension in Chinese people

GSE272776 Homo sapiens (human) RNA-seq (gene expression) 16 samples Submitted 2025/09/03 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 16 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
16 samples: 8 × PAH vs 8 × CONGroups 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
Comprehensive proteomic characterization of pulmonary arterial hypertension in Chinese peopleFrontiers in molecular biosciences · 2025
Summary (written by the submitters)
Pulmonary arterial hypertension (PAH), a fatal disease, is characterized by pulmonary vascular remodeling and vascular resistance. However, the molecular mechanisms underlying the pathogenesis of PAH remained to be incompletely understood. RNA-seq, 4D Label-free proteomics and phosphoproteomics were used to detect the levels of mRNA, proteins, and phosphoproteins in lung tissues from PAH patients, respectively.
Read the full summary ↓
Parallel reaction monitoring (PRM) was carried out to verify the expression of the differentially expressed proteins. In total, 967 differentially expressed genes (|log2FoldChange|>1 and p<0.05), 764 differentially expressed proteins and 411 phosphoproteins were observed after data filtering (|log2FoldChange|>1 and p<0.05) in lung tissues of PAH patients as compared with the control group. Integrated analysis of the three omic measures revealed that the biological processes involving inflammation, ion channel and metabolism were closely associated with PAH. Several signaling pathways, such as ferroptosis, HIF-1, PI3K-AKT, and Rap1 might be related to the development of PAH. This study combined multi-omics characteristic profiling to find out the changed genes or proteins that contributed to a detailed pathogenic of PAH. It would have the benefit of looking for the novel and effective treatment targets and therapeutic drugs for PAH patients.
Published in
Comprehensive proteomic characterization of pulmonary arterial hypertension in Chinese people
Liu T, Zhou S, Wang R et al. · Frontiers in molecular biosciences 2025 · PMID 40894071 · doi:10.3389/fmolb.2025.1652083
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 GSE272776_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: 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 PRJNA1138715 and SRA study SRP521378. Searching any of these in the dataset finder brings you back here.

Study design
8 × PAH vs 8 × CON

Supports a between-group comparison across 16 samples.

How we read this: 2 replicated groups read from 16 sample titles; they account for 16 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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