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Transciptional profiling of polyIC stimulated alveolar macrophages isolated from naive or SARS-CoV-2 recovered mice

GSE264679 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/10/02 Platform GPL24247
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
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
Antiviral innate immune memory in alveolar macrophages following SARS-CoV-2 infection ameliorates secondary influenza A virus diseaseImmunity · 2024
Summary (written by the submitters)
Pathogen encounter results in long-lasting epigenetic imprinting that shapes diseases caused by heterologous pathogens. The breadth of this innate immune memory is of particular interest in the context of respiratory pathogens with increased pandemic potential and wide-ranging impact on global health. Here, we investigated epigenetic imprinting across cell lineages in a disease relevant murine model of SARS-CoV-2 recovery.
Read the full summary ↓
Past SARS-CoV-2 infection resulted in increased chromatin accessibility of type I interferon (IFN-I) related transcription factors and transcriptionally poised antiviral genes in alveolar macrophages. Mechanistically, viral pattern recognition and canonical IFN-I signaling were required for establishment of this innate immune memory and resulting augmented secondary antiviral responses. SARS-CoV-2-associated innate immune memory in alveolar macrophages was necessary and sufficient to ameliorate secondary disease caused by the heterologous respiratory pathogen influenza A virus. Insights into how innate immune memory shapes outcome of heterologous secondary diseases could facilitate the development of broadly effective therapeutic strategies.
Published in
Antiviral innate immune memory in alveolar macrophages following SARS-CoV-2 infection ameliorates secondary influenza A virus disease
Lercher A, Cheong JG, Bale MJ et al. · Immunity 2024 · PMID 39353439 · doi:10.1016/j.immuni.2024.08.018
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 GSE264679_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 PRJNA1103796 and SRA study SRP503647. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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