← BioTransfer GEO Dataset Finder
GEO series

Inhibition of S1PR4 and supplementation of APOM in Alport Podocytes

GSE300237 Mus musculus (mouse) RNA-seq (gene expression) 15 samples Submitted 2025/06/20 Platform GPL34290
At a glance

RNA-seq (gene expression) · mouse · 15 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
15 samples: 6 × IMAS vs 3 × APOM vs 3 × CYM vs 3 × IMWTGroups 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)
Background: Renal lipid dysmetabolism contributes to glomerular disease progression, including Alport Syndrome. We recently identified alterations in the apolipoprotein M/sphingosine-1-phosphate/sphingosine-1-phosphate receptor 4 signaling axis in glomeruli from patients with glomerular disease. Methods: We utilized Col4a3 knockout mice and immortalized podocytes derived from these mice as a mouse model of Alport Syndrome.
Read the full summary ↓
Mice and podocytes were treated with recombinant apolipoprotein M or the sphingosine-1-phosphate receptor 4 antagonist, CYM50358. Results: Col4a3-/- glomeruli and podocytes exhibited reduced apolipoprotein M and increased sphingosine-1-phosphate receptor 4 expression and increased sphignsoine-1-phosphate levels, mirroring findings in patients with glomerular disease. Treatment with apolipoprotein M or CYM50358 reduced albuminuria, BUN, and plasma creatinine, and ameliorated glomerulosclerosis, tubulointerstitial fibrosis, podocyte loss and foot process effacement. Both treatments reduced triglyceride and cholesterol accumulation in glomeruli and podocytes. RNA-seq analysis of Col4a3-/- revealed that sphingosine-1-phosphate receptor 4 antagonism upregulated lysosomal and autophagy-related genes. Western blot analysis confirmed increased LC3-II/LC3-I ratios and decreased p62, indicating enhanced autophagic flux. Treated podocytes showed increased lysosome numbers and co-localization with lipid droplets. In contrast, apolipoprotein M had no effect on autophagy but promoted cholesterol efflux. Conclusions: The apolipoprotein M/sphingosine-1-phosphate axis is dysregulated in Col4a3-/- podocytes. Targeting this pathway through apolipoprotein M supplementation or sphingosine-1-phosphate receptor 4 antagonism improves renal function and reduces lipid accumulation by enhancing either cholesterol efflux or autophagy, respectively. These findings suggest that restoring lipid homeostasis via targeting the APOM/S1P/S1PR4 axis may be a promising therapeutic strategy for Alport Syndrome and other glomerular diseases.
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 GSE300237_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 PRJNA1279954 and SRA study SRP593560. Searching any of these in the dataset finder brings you back here.

Study design
6 × IMAS vs 3 × APOM vs 3 × CYM vs 3 × IMWT

Supports a between-group comparison across 15 samples.

How we read this: 4 replicated groups read from 15 sample titles; they account for 15 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.