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Dietary Poricoic acid A alleviates depressive-like behaviors by targeting the gut microbiota-immune axis

GSE327915 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2026/08/05 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: 12 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)
This study investigated whether dietary poricoic acid A (PAA) alleviates chronic unpredictable stress (CUS)-induced depressive-like behaviors in mice by modulating the gut microbiota-immune axis. Male C57BL/6J mice were subjected to CUS and treated with PAA. Results showed that PAA alleviated depressive- and anxiety-like behaviors, reduced hippocampal neuronal damage, and restored gut microbiota composition by suppressing harmful bacteria like Ligilactobacillus murinus while promoting beneficial taxa such as Akkermansia muciniphila and Lactobacillus reuteri.
Read the full summary ↓
Hippocampal transcriptomics revealed that PAA modulated immune cell infiltration by reducing M1 and restoring M2 macrophages, with significant correlations between gut microbial taxa and hippocampal immune gene expression. Functional analyses indicated that PAA regulated pathways related to synaptic plasticity and neuroinflammation, which was confirmed by qPCR and Western blot showing restored expression of HSP90B1, RPS6KB2, IGF2BP2, and COL4A5. In conclusion, dietary PAA alleviates depressive-like behaviors in CUS mice by remodeling the gut microbiota and modulating the hippocampal M1/M2 macrophage balance via the gut-brain axis, supporting its potential as a prebiotic-like nutritional agent for major depressive disorder.
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 GSE327915_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 PRJNA1452981 and SRA study SRP691554. Searching any of these in the dataset finder brings you back here.

Study design
12 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 12 sample titles: 12 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
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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.