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Unravelling AURKB as a potential therapeutic target in pulmonary arterial hypertension using integrated transcriptomic analysis and pre-clinical studies

GSE263226 Homo sapiens (human) RNA-seq (gene expression) 31 samples Submitted 2024/11/28 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 31 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
31 samples: 8 conditions, mostly with about 4 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
Unraveling AURKB as a potential therapeutic target in pulmonary hypertension using integrated transcriptomic analysis and pre-clinical studiesCell reports. Medicine · 2025
Summary (written by the submitters)
To illuminate new actionable targets involved in pulmonary vascular remodeling in pulmonary arterial hypertension (PAH), we performed RNA sequencing on pulmonary artery smooth muscle cells (PASMCs) isolated from PAH patients and control donors. We then enriched our own experiment with publicly available datasets.
Read the full summary ↓
Aggregation of gene expression datasets followed by functional enrichment and connectivity map analyses on common upregulated genes in PAH-PASMCs revealed Aurora kinase B (AURKB), the enzymatic core of the chromosomal passenger complex with BIRC5, as a potential driver and therapeutic target in PAH. Using pharmacological and molecular tools, we demonstrated that inhibition of AURKB in PAH-PASMCs blocks cell cycle progression, induces cell death, and reverses the gene signature of PAH-PASMCs. In addition, we provided evidence that AURKBi-treated PAH-PASMCs that escape apoptosis, acquire a senescence-associated secretory phenotype. In vivo, AURKB inhibition using Barasertib significantly improved hemodynamics in two preclinical models of established PAH by attenuating pulmonary vascular remodeling. A therapeutic effect was also observed in precision-cut lung slices generated from human lungs, thus confirming the predictive value of AURKB interference as a potential therapeutic for PAH progression.Finally, we demonstrated that the combination of Barasertib with the anti-senescent agent UC2288 was more effective in reducing vascular remodeling than either drug alone.
Published in
Unraveling AURKB as a potential therapeutic target in pulmonary hypertension using integrated transcriptomic analysis and pre-clinical studies
Lemay SE, Mougin M, Sauvaget M et al. · Cell reports. Medicine 2025 · PMID 39933527 · doi:10.1016/j.xcrm.2025.101964
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 GSE263226_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 PRJNA1096310 and SRA study SRP499783. Searching any of these in the dataset finder brings you back here.

Study design
8 conditions, mostly with about 4 replicates each
PAH_PASMC ×5 PAH_PASMC_Barasertib ×4 PAH_PASMC_siAURKB ×4 PAH_PASMC_siSC ×4 PAH_PASMC_Veh ×4 CTRL_PASMC ×4 PAH_PASMC_siFOXM1 ×3 PAH_PASMC_siSCRAM ×3

Supports a between-group comparison across 31 samples.

How we read this: 8 replicated groups read from 31 sample titles; they account for 31 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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