← BioTransfer GEO Dataset Finder
GEO series

RNA-Sequencing of Acute interstitial pneumonia compared with Control Lung

GSE283072 Homo sapiens (human) RNA-seq (gene expression) 20 samples Submitted 2024/12/08 Platform GPL24676
At a glance

RNA-seq (gene expression) · human · 20 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
20 samples: 15 × Patient vs 5 × ControlGroups 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 Genomic and Transcriptomic Analysis in Acute Interstitial PneumoniaJournal of cellular and molecular medicine · 2024
Summary (written by the submitters)
Acute Interstitial Pneumonia (AIP) represents a severe form of diffuse lung injury within the idiopathic interstitial pneumonia spectrum. Given the limited understanding of its molecular basis, this study aims to elucidate AIP's transcriptomic profiles to uncover its pathophysiological underpinnings and identify potential therapeutic targets.
Published in
Integrative Genomic and Transcriptomic Analysis in Acute Interstitial Pneumonia
Kwak D, Kang J, Yu Y et al. · Journal of cellular and molecular medicine 2024 · PMID 39636205 · doi:10.1111/jcmm.70252
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 GSE283072_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 PRJNA1191812 and SRA study SRP548193. Searching any of these in the dataset finder brings you back here.

Study design
15 × Patient vs 5 × Control

Supports a case/control comparison: 15 samples read as cases, 5 as controls.

How we read this: 2 replicated groups read from 20 sample titles; they account for 20 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

Search all human RNA-seq datasets in GEO →

Share this dataset

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.