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Lysophosphatidic acid synergizes with 1,25-dihydroxyvitamin D to promote fibroblast growth factor-23 synthesis via MAPK signaling and induction of the IL12A gene

GSE297103 Mus musculus (mouse) RNA-seq (gene expression) 24 samples Submitted 2026/01/09 Platform GPL28457
At a glance

RNA-seq (gene expression) · mouse · 24 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
24 samples: 8 conditions, mostly in triplicateGroups 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
Lysophosphatidic Acid Synergizes With 1,25-Dihydroxyvitamin D to Promote Fibroblast Growth Factor-23 Synthesis via MAPK Signaling and Induction of the IL12A GeneFASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
Summary (written by the submitters)
Dysregulated actions of the bone-derived phosphaturic hormone, fibroblast growth factor-23 (FGF23), underlie the pathophysiology of several diseases. FGF23 is synthesized primarily in osteocytes in response to various endogenous molecules; however, the mechanisms governing FGF23 production are incompletely understood. Glycerol-3-phosphate (G3P), a glycolytic by-product originating from the kidney, critically controls skeletal FGF23 synthesis via its conversion in bone to lysophosphatidic acid (LPA), which stimulates osteocyte FGF23 production.
Read the full summary ↓
The bioactive vitamin D, 1,25-dihydroxyvitamin D (1,25D), also promotes FGF23 production in osteocytes. We herein demonstrated that LPA requires 1,25D action to raise FGF23 levels in mouse bone explants and mice. RNA sequencing of osteocyte-like Ocy454 cells identified differentially expressed genes (DEGs) uniquely induced by LPA/1,25D co-treatment. These unique DEGs were enriched for the ribosome biogenesis pathway. DEGs concurrently induced by individual LPA and 1,25D treatments were enriched for MAPK signaling, and inhibiting this pathway obliterated LPA/1,25D-induced FGF23 production. DEGs following LPA/1,25D co-treatment were enriched for the cytokine-cytokine interaction pathway. Moreover, LPA/1,25D co-treatment, but not individual LPA and 1,25D treatments, rapidly induced the expression of Il12a, the gene encoding the proinflammatory cytokine interleukin-12 alpha-subunit, which responded solely to 1,25D at later times and required MAPK-ERK1/2 signaling. Inhibiting cytokine signaling or knocking down Il12a inhibited, while overexpressing Il12a enhanced LPA/1,25D-induced FGF23 production. However, challenging Ocy454 cells with recombinant bioactive interleukin-12 failed to enhance FGF23 production, suggesting that Il12a plays a non-canonical role. Our results reveal a mechanism of skeletal FGF23 synthesis involving cooperative actions of LPA and 1,25D, advancing our understanding of FGF23 regulation.
Published in
Lysophosphatidic Acid Synergizes With 1,25-Dihydroxyvitamin D to Promote Fibroblast Growth Factor-23 Synthesis via MAPK Signaling and Induction of the IL12A Gene
Ay B, Cyr SM, Iwasaki Y et al. · FASEB journal : official publication of the Federation of American Societies for Experimental Biology 2026 · PMID 41511413 · doi:10.1096/fj.202502235R
This dataset
Open GSE297103 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 GSE297103_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 PRJNA1262524 and SRA study SRP585098. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 41511413) ↗
Study design
8 conditions, mostly in triplicate
2hVeh ×3 2hD ×3 2hL ×3 2hLD ×3 8hVeh ×3 8hD ×3 8hL ×3 8hLD ×3

Supports a between-group comparison across 24 samples.

How we read this: 8 replicated groups read from 24 sample titles; they account for 24 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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