← BioTransfer GEO Dataset Finder
GEO series

Deconstructing synthetic inflammasomes in tumors drives diverse antitumor responses

GSE261286 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2024/11/12 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 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
Cytokine-armed pyroptosis induces antitumor immunity against diverse types of tumorsNature communications · 2024
Summary (written by the submitters)
Inflammasomes are cardinal defense machines that utilize cytokine and immunogenic cell death components to engage the immune system against pathogens. On the other hand, inflammasomes have ambiguous and context-dependent roles in cancers that are known to downregulate effectors of immunogenic cell death. In this study, we deconstructed inflammasomes by introducing one or both inflammasome signaling arms in diverse types of tumors regardless of the expression of endogenous inflammasome components.
Read the full summary ↓
To induce immunogenic cell death, we designed tightly regulated GSDMD variants comprising different pore-forming capabilities and diverse modes of activation. We show that electroporation of plasmids encoding the pyroptotic component into B16 melanoma tumors leads to tumor regression and complete remission in a quarter of treated animals. The inflammatory cytokines IL-1β and IL-18, along with the T-cell activator IL-12, did not provide protection when produced solely within tumors. However, they significantly boosted anti-tumor immunity when combined with pyroptosis. Careful selection of immunostimulatory molecules is imperative as a combination of IL-1β and IL-18 or the introduction of IFNγ antagonizes the protective action of pyroptosis by upregulation of several immune checkpoints. Additionally, we show that deconstruction of inflammasomes locally, without inducing systemic inflammation, provides protection against distant tumors and proves effective across various tumor types. Deconstructed inflammasomes are thus a powerful, tunable and tumor-agnostic strategy to enhance antitumor responses to even the most resilient types of tumors.
Published in
Cytokine-armed pyroptosis induces antitumor immunity against diverse types of tumors
Orehek S, Ramuta TŽ, Lainšček D et al. · Nature communications 2024 · PMID 39737979 · doi:10.1038/s41467-024-55083-3
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 GSE261286_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 PRJNA1086391 and SRA study SRP494474. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Load samples and it will be fetched from NCBI.

+ 18 more — browse all 18 samples with per-sample file links →

Datasets on a similar topic

Search all mouse RNA-seq datasets in GEO →

Share this dataset

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.