← BioTransfer GEO Dataset Finder
GEO series

Sedanolide alleviates LPS-induced depressive-like behaviors by modulating the C3a/C3aR signaling axis and microglial glycolysis

GSE335983 Mus musculus (mouse) RNA-seq (gene expression) 19 samples Submitted 2026/06/25 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 19 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
19 samples: 5 × Mouse medial prefrontal cortex tissue from LPS-treated group vs 5 × Mouse medial prefrontal cortex tissue from sedanolide-treated group vs 5 × Mouse medial prefrontal cortex tissue from LPS and sedanolide co-treated group vs 4 × Mouse medial prefrontal cortex tissue from control groupGroups 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)
Depression is associated with neuroinflammation and microglial activation. This study investigated the effects of sedanolide in an LPS-induced mouse model of depressive-like behaviors. RNA sequencing of medial prefrontal cortex (mPFC) tissues was performed to identify transcriptomic changes associated with sedanolide treatment. Differential expression analysis revealed candidate genes involved in inflammatory pathways, including C3 and MMP9. Further validation demonstrated that sedanolide regulates neuroinflammation and microglial metabolic reprogramming through the C3a/C3aR signaling axis.
This dataset
Open GSE335983 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 GSE335983_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 PRJNA1480529 and SRA study SRP711287. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
5 × Mouse medial prefrontal cortex tissue from LPS-treated group vs 5 × Mouse medial prefrontal cortex tissue from sedanolide-treated group vs 5 × Mouse medial prefrontal cortex tissue from LPS and sedanolide co-treated group vs 4 × Mouse medial prefrontal cortex tissue from control group

Supports a case/control comparison: 15 samples read as cases, 4 as controls.

How we read this: 4 replicated groups read from 19 sample titles; they account for 19 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
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.