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Macrophage peroxisomes guide alveolar regeneration and limit post-acute sequelae of SARS-CoV-2 infection (PASC).

GSE281262 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/03/10 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 12 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
Mus musculus (mouse)
Samples
12 samples: 6 × C) vs 3 × WT-Mock vs 3 × PEX5-KO-MockGroups 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
Macrophage peroxisomes guide alveolar regeneration and limit SARS-CoV-2 tissue sequelaeScience (New York, N.Y.) · 2025
Summary (written by the submitters)
Peroxisomes are essential but often underappreciated metabolic organelles. In this study, we demonstrate that exuberant interferon signaling reshapes the macrophage peroxisome compartment following severe COVID-19. To uncover the molecular characteristics underlying the protective role of macrophage peroxisomes after viral infection, we isolated RNA from wild-type (WT) and Pex5-deficient alveolar macrophages (AMs) with or without Poly(I:C) treatment in vitro, followed by bulk RNA sequencing.
Read the full summary ↓
Our analysis revealed enhanced expression of inflammation-associated pathways and innate immune responses in Pex5-deficient AMs. However, these cells also exhibited attenuated activation of tissue development-related pathways and impaired mitochondrial functions, regardless of Poly(I:C) treatment.
Published in
Macrophage peroxisomes guide alveolar regeneration and limit SARS-CoV-2 tissue sequelae
Wei X, Qian W, Narasimhan H et al. · Science (New York, N.Y.) 2025 · PMID 40048515 · doi:10.1126/science.adq2509
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 GSE281262_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 PRJNA1182823 and SRA study SRP543651. Searching any of these in the dataset finder brings you back here.

Study design
6 × C) vs 3 × WT-Mock vs 3 × PEX5-KO-Mock

Supports a between-group comparison across 12 samples.

How we read this: 3 replicated groups read from 12 sample titles; they account for 12 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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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.