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The pulmonary inflammatory microenvironment at the time of exposure governs innate control of SARS-CoV-2 replication

GSE254993 Mus musculus (mouse) RNA-seq (gene expression) 23 samples Submitted 2024/04/17 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 23 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
23 samples: 6 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
The inflammatory microenvironment of the lung at the time of infection governs innate control of SARS-CoV-2 replicationbioRxiv : the preprint server for biology · 2024
Summary (written by the submitters)
SARS-CoV-2 (SCV2) infection leads to diverse clinical outcomes ranging from asymptomatic to fatal disease. Co-morbidities, age and host genetics together with immune status affect disease severity. However, the range of innate inflammatory pathways critical for limiting early viral replication and whether the inflammatory history and milieu of the lung microenvironment at the time of exposure impacts early control of SCV2 infection remain largely unexplored. Here, we investigated the roel of prior TLR stimualtion on early viral rpelciation in the lungs of K18 mice
Published in
The inflammatory microenvironment of the lung at the time of infection governs innate control of SARS-CoV-2 replication
Baker PJ, Bohrer AC, Castro E et al. · bioRxiv : the preprint server for biology 2024 · PMID 38585846 · doi:10.1101/2024.03.27.586885
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 GSE254993_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 PRJNA1072986 and SRA study SRP487921. Searching any of these in the dataset finder brings you back here.

Study design
6 conditions, mostly with about 4 replicates each
Lung, SCV2 + PBS ctrl ×4 Lung, SCV2 + CpG 10ug i.ph one week prior t… ×4 Lung, SCV2 + pam3CSK4 50ug i.ph one week pri… ×4 Lung, uninfected CpG 10ug i.ph one week prior… ×4 Lung, uninfected pam3CSK4 50ug i.ph one week… ×4 Lung, uninfected PBS ctrl ×3

Supports a between-group comparison across 23 samples.

How we read this: 6 replicated groups read from 23 sample titles; they account for 23 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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