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MITOCHONDRIAL ANTIOXIDANTS ABATE SARS-COV-2 LETHALITY IN MICE

GSE246312 Mus musculus (mouse) RNA-seq (gene expression) 64 samples Submitted 2024/07/31 Platform GPL25723
At a glance

RNA-seq (gene expression) · mouse · 64 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
64 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
Mitochondrial antioxidants abate SARS-COV-2 pathology in miceProceedings of the National Academy of Sciences of the United States of America · 2024
Summary (written by the submitters)
SARS-CoV-2 infection inhibits mitochondrial oxidative phosphorylation (OXPHOS), elevates mitochondrial reactive oxygen species (mROS) which activates HIF-1α shifting metabolism toward glycolysis, and causes release of mtDNA which activates the innate immune system.
Read the full summary ↓
To determine if mitochondrially targeted antioxidants could mitigate these viral effects, we combined in mice hACE2 with mitochondrially-targeted-catalase (mCAT) and showed that SARS-CoV-2 infected hACE2-mCAT mice had decreased weight loss; decreased circulating levels of mtDNA, IL-1β, and INF-β; and decreased lung HIF-1α and nucleocapsid protein levels. RNA-sequencing of infected lungs revealed that mCAT upregulated OXPHOS gene expression and downregulated glycolytic, innate immune, and HIF-1α-target gene expression. The mitochondrial antioxidant drug EUK8 had the same effect as mCAT potentially providing a pharmacological therapy for COVID-19 which is not subject to viral mutational resistance.
Published in
Mitochondrial antioxidants abate SARS-COV-2 pathology in mice
Guarnieri JW, Lie T, Albrecht YES et al. · Proceedings of the National Academy of Sciences of the United States of America 2024 · PMID 39008677 · doi:10.1073/pnas.2321972121
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 GSE246312_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 PRJNA1142057. Searching any of these in the dataset finder brings you back here.

Samples in this study

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