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Effect of metronidazole on microglial gene expression and gut microbiome composition in the 5XFAD mice model of Alzheimer's disease

GSE215439 Mus musculus (mouse) RNA-seq (gene expression) 20 samples Submitted 2024/10/12 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 20 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
20 samples: 13 distinct titles, 1 of them repeatedGroups 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)
The gut microbiota and innate immune system play critical roles in Alzheimer’s disease (AD). Bacteroides is elevated in AD patients and correlates with cerebrospinal fluid levels of Aβ and tau. We found that increased amyloid-β (Aβ) plaques in Bacteroides fragilis treated APP/PS1-21 mice were associated with altered cortical expression Aβ processing genes.
Read the full summary ↓
B. fragilis suppressed peripheral CD4+ T cell production of GM-CSF and IL-4 and transcriptional changes in microglia related to GM-CSF and IL-4 signaling, phagocytosis, and protein degradation. Furthermore, B. fragilis impaired the microglial uptake of intracranially injected Aβ42, whereas Erysipelotrichaceae strains increased uptake. Depleting murine Bacteroidetes with metronidazole decreased amyloid load in aged 5xFAD mice, increased CD4+ T cell GM-CSF production, and activated microglial pathways related to cytokine signaling, phagocytosis and lysosomal degradation. These data suggest that the gut microbiome may contribute to AD pathogenesis by suppressing peripheral cytokines and microglia phagocytic function, leading to impaired immune-mediated Aβ clearance.
This dataset
Open GSE215439 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 GSE215439_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 PRJNA876231 and SRA study SRP395380. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
13 distinct titles, 1 of them repeated
SM-J6UV ×8

How we read this: Read from 20 sample titles: 13 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

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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.