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Yap/Taz function as new mediators of FGF signaling in neural crest-derived cranial suture mesenchymal cells [RNA-seq]

GSE287588 Mus musculus (mouse) RNA-seq (gene expression) 18 samples Submitted 2026/06/01 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 18 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
18 samples
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
ERK-Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem CellsAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
Summary (written by the submitters)
Cranial suture mesenchymal cells (SMCs), housed by the cranial suture, are required to maintain suture homeostasis and contribute to cranial bone growth, repair, and regeneration. Although their roles in craniofacial development are well-studied, how their functions are orchestrated by intricate signaling networks remain largely unknown.
Read the full summary ↓
The Fibroblast growth factor (FGF) signaling pathway is a fundamental pathway involved in multiple key cell processes, including stem cell pluripotency and differentiation, and contributes extensively to cranial suture development and homeostasis, yet their precise roles in SMCs are still limited. Neural crest cells (NCCs), a multipotent stem cell population, greatly contribute to craniofacial and suture development, while a big knowledge gap remains regarding the molecular regulation of NCC-derived SMCs. Using NCC-derived SMCs from the frontal sutures of mice as a model, we identified the Hippo signaling downstream effectors, Yap/Taz, as novel mediators of FGF signaling in NCC-derived SMCs. Our data demonstrated that the activation of FGF signaling inhibited osteogenesis in NCC-derived SMC while enhancing their stemness and proliferation by promoting Yap nuclear translocation through pERK1/2, which could be reversed by Yap/Taz deficiency or pERK1/2 inhibition. Additionally, we uncovered a novel interaction between Yap and pERK1/2, and our data suggested that pERK1/2 promote Yap nuclear translocation by phosphorylating Yap at the S128 site to modulate Yap chromatin occupancy on related key Yap targets. Collectively, our data provided the first evidence that FGF signaling regulates the balance between stemness and osteogenesis of NCC-derived SMCs through Yap/Taz. These findings reveal a novel molecular mechanism in NCC-derived SMCs, advancing our understanding of stem cell biology and opening a new avenue for exploring diagnostic and therapeutic methods for craniofacial-related diseases
Published in
ERK-Mediated Phosphorylation of YAP Defines a Noncanonical FGF Signaling Mechanism in Stem Cells
Zhao X, Erhardt S, Tang L et al. · Advanced science (Weinheim, Baden-Wurttemberg, Germany) 2026 · PMID 41961483 · doi:10.1002/advs.202511484
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 GSE287588_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 PRJNA1213785 and SRA study SRP558747. Searching any of these in the dataset finder brings you back here.

Samples in this study

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