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Molecular changes implicate angiogenesis and arterial remodeling in systemic sclerosis-associated and idiopathic pulmonary hypertension

GSE244781 Homo sapiens (human) RNA-seq (gene expression) 33 samples Submitted 2024/06/07 Platform GPL20795Platform GPL24676Platform GPL18573
At a glance

RNA-seq (gene expression) · human · 33 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
33 samples: 32 × SCGroups 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
Molecular Changes Implicate Angiogenesis and Arterial Remodeling in Systemic Sclerosis-Associated and Idiopathic Pulmonary HypertensionArteriosclerosis, thrombosis, and vascular biology · 2024
Summary (written by the submitters)
Pulmonary hypertension (PH) is a common complication of systemic sclerosis (SSc) and a leading cause of mortality among patients with this disease. PH can also occur as an idiopathic condition (idiopathic pulmonary arterial hypertension, iPAH). We sought to investigate the transcriptomic alterations in PH vascular populations to understand cellular mechanisms underlying pathobiology of systemic sclerosis associated and idiopathic pulmonary hypertension.
Published in
Molecular Changes Implicate Angiogenesis and Arterial Remodeling in Systemic Sclerosis-Associated and Idiopathic Pulmonary Hypertension
Zhou Y, Tabib T, Huang M et al. · Arteriosclerosis, thrombosis, and vascular biology 2024 · PMID 38841857 · doi:10.1161/ATVBAHA.123.320005
This dataset
Open GSE244781 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 GSE244781_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 PRJNA1024542 and SRA study SRP464778. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 38841857) ↗
Study design
32 × SC

Supports a between-group comparison across 32 samples.

How we read this: 1 replicated groups read from 33 sample titles; they account for 32 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
Datasets on a similar topic

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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.