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Transcriptomic analysis of enamel organ in a mouse model of Loeys-Dietz Syndrome Type II harboring a G357W mutation in the Tgfbr2 gene

GSE226610 Mus musculus (mouse) RNA-seq (gene expression) 13 samples Submitted 2025/06/06 Platform GPL19057
At a glance

RNA-seq (gene expression) · mouse · 13 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
13 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
Distinctive Amelogenesis Imperfecta in Loeys-Dietz Syndrome Type IIJournal of dental research · 2025
Summary (written by the submitters)
Loeys Dietz Syndrome (LDS) is a connective tissue disorder caused by mutations along the TGF-beta signaling pathway and characterized by severe aortic aneurysm and craniofacial anomalies. Patients with LDS Type II (LDS2), caused by mutations in the TGFBR2 gene also exhibit enamel defects. A mouse model for LDS2, harboring a G357W mutation in the Tgfbr2 gene, recapitulates the cardiovascular, craniofacial and dental phenotype of the disease.
Read the full summary ↓
This transcriptomic analysis aimed at identifying genes that are differentially regulated in the enamel organ of Tgfbr2-G357W/+ mice at postnatal day 11. Total RNA was extracted from enamel organs from five Tgfbr2-G357W/+ mice (LDSR2, KI) and eight Tgfbr2-+/+ wild-type littermates (WT). This dataset indicates that the mutation in Tgfbr2 in the enamel organ minimally affects gene expression and suggests that the enamel phenotype in LDS2 is not dependent on canonical TGF-beta signaling.
Published in
Distinctive Amelogenesis Imperfecta in Loeys-Dietz Syndrome Type II
Duverger O, Wang SK, Liu QN et al. · Journal of dental research 2025 · PMID 40261094 · doi:10.1177/00220345251326094
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 GSE226610_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 PRJNA940801 and SRA study SRP425560. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 13 more — browse all 13 samples with per-sample file links →

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