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GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axis

GSE271034 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2024/07/04 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: 3 × RAW264.7, control vs 3 × RAW264.7, LPS vs 3 × RAW264.7, SP+LPS vs 3 × RAW264.7, SB+LPSGroups 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.
Paper
GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axisNature communications · 2024
Summary (written by the submitters)
Despite recent advances, severe acute pancreatitis (SAP) remains an extremely lethal inflammation with limited treatment options. Here, we provide compelling evidence of GV-971 (sodium oligomannate), an anti-Alzheimer's medication, as being a protective agent in various mouse SAP models. Microbiome sequencing, along with fecal microbiota transplantation and mass cytometry technology, unveiled that GV-971 reshapes the gut microbiota, increasing Faecalibacterium populations and modulating both peripheral and intestinal immune systems.
Read the full summary ↓
A metabolomics analysis of cecal contents from GV-971–treated SAP mice further identified short-chain fatty acids, including propionate and butyrate, as key metabolites in inhibiting macrophage M1 polarization and subsequent lethal inflammation by blocking the MAPK pathway. These findings suggest GV-971 as a promising therapeutic for SAP by targeting the microbiota metabolic immune axis.
Published in
GV-971 prevents severe acute pancreatitis by remodeling the microbiota-metabolic-immune axis
Chen X, Chen X, Yan D et al. · Nature communications 2024 · PMID 39333064 · doi:10.1038/s41467-024-52398-z
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 GSE271034_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 PRJNA1129455 and SRA study SRP516810. Searching any of these in the dataset finder brings you back here.

Study design
3 × RAW264.7, control vs 3 × RAW264.7, LPS vs 3 × RAW264.7, SP+LPS vs 3 × RAW264.7, SB+LPS

Supports a between-group comparison across 12 samples.

How we read this: 4 replicated groups read from 12 sample titles; they account for 12 of them. 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
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