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Faecalibaterium prausnitzii strain EXL01 boosts efficacy of Immune Checkpoint Inhibitors

GSE234818 Mus musculus (mouse) RNA-seq (gene expression) 42 samples Submitted 2024/07/10 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 42 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
42 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
Faecalibaterium prausnitzii strain EXL01 boosts efficacy of immune checkpoint inhibitorsOncoimmunology · 2024
Summary (written by the submitters)
Gut microbiota impacts responses to immune checkpoint inhibitors (ICI). High level of Faecalibacterium prausnitzii has been associated with a positive response to ICI in multiple cancer types. Here, we show in two independent cohorts of patients with non-small cell lung cancer and advanced melanoma that high level of F. prausnitzii at baseline is positively associated with a better clinical response to ICI.
Read the full summary ↓
In a mouse preclinical model, we show that the F. prausnitzii strain EXL01, already in clinical development for Inflammatory Bowel Disease, restores the anti-tumor response to ICI in the context of antibiotic-induced microbiota perturbation at clinical and tumor transcriptomics level. In vitro, EXL01 strain enhances T cell activation in the presence of ICI. Interestingly, oral administration of EXL01 strain is not associated with a change in fecal microbiota diversity or composition suggesting a direct effect on immune cells in the small intestine.
Published in
Faecalibaterium prausnitzii strain EXL01 boosts efficacy of immune checkpoint inhibitors
Bredon M, Danne C, Pham HP et al. · Oncoimmunology 2024 · PMID 38957477 · doi:10.1080/2162402X.2024.2374954
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 GSE234818_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 PRJNA983285 and SRA study SRP443237. Searching any of these in the dataset finder brings you back here.

Samples in this study

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