GEO series

Caspase-11 Mediated Hyperinflammation Impairs CD8⁺ T Cell Immunity and Viral Clearance in Severe SARS-CoV-2 Infection [Lung4Day]

GSE329365 Mus musculus (mouse) RNA-seq (gene expression) 8 samples Submitted 2026/06/24 Platform GPL24247

At a glance

RNA-seq (gene expression) · mouse · 8 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: 8 samples: 8 samples, each with a distinct title — no replicated groupsGroups 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.

Summary (written by the submitters)

Severe SARS-CoV-2 infection is characterized by lung hyperinflammation, impaired interferon responses, and defective T-cell activation, yet the molecular drivers of these immune dysregulations remain incompletely understood. Caspase-11 (CASP11), a key mediator of the non-canonical inflammasome, has been shown to mediate an innate hyperinflammatory response and cytokine release in a non-severe, non-lethal SARS-CoV-2 infection model.

Read the full summary ↓

However, the role played by CASP11 in severe SARS-CoV-2 disease and how it impacts adaptive immunity is not identified. Here, we discover that CASP11 exacerbates severe SARS-CoV-2 pathogenesis by amplifying early innate immune responses while concurrently impairing antiviral CD8 T cell immunity. Using global knockouts, reciprocal bone marrow chimeras, and Cx3cr1-expressing mononuclear phagocyte system (MPS) cell-specific CASP11 deletion models, we show that targeting reduces lung inflammation, promotes early Natural Killer (NK) cell-mediated interferon-γ (IFN-γ) production, and enhances robust virus-specific effector CD8⁺ T cell responses. This was associated with enhanced viral clearance and improved survival, even under lethal infection conditions. Importantly, CASP11 KO mice also exhibited faster resolution of post-viral inflammation, suggesting a role in long-term immune remodeling. These findings position CASP11 as a promising immunomodulatory target for acute and delayed manifestations of severe SARS-CoV-2 infection.

This dataset

Open GSE329365 in finder → Find more mouse RNA-seq datasets →

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.

Series matrix ↓

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 GSE329365_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓

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.

Raw reads on ENA ↗

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 PRJNA1458730 and SRA study SRP695665. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗

Study design

8 samples, each with a distinct title — no replicated groups

Any grouping that defines a comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Read from 8 sample titles: 8 distinct titles with little repetition. 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

GSE329370 Caspase-11 Mediated Hyperinflammation Impairs CD8⁺ T Cell Immunity and Viral Clearance in Severe SARS-CoV-2 Infection 26 samples shares caspase-11, sars-cov-2, cd8, hyperinflammation, clearance, mediated, immunity
GSE318514 Organ injury in systemic autoimmunity is mediated by stem-like CD8 T cells arising from tissue-draining lymph nodes 45 samples shares cd8, mediated, immunity
GSE316541 α2,6-Sialoglycan-regulated anti-tumor immunity of tumor-infiltrating CD8+ T cells in the tumor microenvironment [CD8+T] 27 samples shares cd8, immunity
GSE234974 Pan-cancer mapping of single CD8+ T cell profiles reveals a TCF1:CXCR6 axis regulating CD28 co-stimulation and anti-tumor immunity I 24 samples shares cd8, immunity
GSE261642 PLPP1-deficiency-mediated ferroptosis induced by PD-1 signaling impairs antitumor activity of intratumoral CD8+ T cells I 23 samples shares cd8, mediated
GSE299133 Host MTDH orchestrates liver lipid metabolism and CD8+ T cells to suppress antitumor immunity [Hepatocytes] 18 samples shares cd8, immunity
GSE277610 Endothelial PD-L1 brakes CD8+ T cell exhaustion, empowering anti-tumor immunity in non-small cell lung cancer 17 samples shares cd8, immunity
GSE207029 Blockade of avb8 integrin synergizes with checkpoint inhibition to enhance anti-tumor immunity through Cxcl9-dependent augmentation of CD8+ T cell cytotoxicity 12 samples shares cd8, immunity

Search all mouse RNA-seq datasets in GEO →

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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.