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Osteoclast-independent osteocyte dendrite defects in mice bearing the Osteogenesis Imperfecta-causing Sp7 R342C mutation

GSE270443 Mus musculus (mouse) RNA-seq (gene expression) 12 samples Submitted 2025/05/16 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 12 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
12 samples: 6 × WT vs 6 × RCGroups 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
Osteoclast-independent osteocyte dendrite defects in mice bearing the osteogenesis imperfecta-causing Sp7 R342C mutationBone research · 2025
Summary (written by the submitters)
Osteogenesis imperfecta (OI) is a group of diseases caused by defects in type I collagen processing which result in skeletal fragility. While these disorders have traditionally been regarded as defects in osteoblast function, the role of matrix-embedded osteocytes, descendants of osteoblasts, in OI pathogenesis remains unknown. The homozygous human SP7 (c.946C > T, R316C) mutation results in a recessive form of osteogenesis imperfecta characterized by short stature, fragility fractures, low bone mineral density, and osteocyte dendrite defects.
Read the full summary ↓
To better understand how the osteogenesis imperfecta-causingSP7 R316Cmutation affects the function of this transcription factor in different osteoblast lineage cells in bone, we generatedSp7 R342Cknock-in mice. Homozygous mutantSp7 R342C/R342Cmice demonstrate increased cortical porosity and reduced cortical bone mineral density, findings consistent with phenotypes observed in patients with this mutation. Sp7 R342Cmice show osteocyte dendrite defects, increased osteocyte apoptosis, and intracortical bone remodeling characterized by ectopic intracortical osteoclasts and elevated Tnfsf11 expression by osteocytes. Remarkably, these overt defects in osteocyte function contrast to preserved osteoblast function, suggesting that this Sp7 point mutation selectively interferes with the function of this transcription factor in osteocytes but not osteoblasts. Osteocyte morphology changes in Sp7 R342C/R342Cmice were not restored by inhibiting osteoclast formation, indicating that dendrite defects lie upstream of high intra-cortical osteoclast activity in this model. Moreover, transcriptomic profiling reveals that the expression of a core set osteocyte-enriched genes is highly dysregulated by the R342C mutation. Thus, this model supports a model in which osteocyte dysfunction can drive osteogenesis imperfecta pathogenesis, and provides a valuable resource to test novel therapeutic approaches and to understand the osteocyte-specific role of SP7 in bone homeostasis and remodeling.
Published in
Osteoclast-independent osteocyte dendrite defects in mice bearing the osteogenesis imperfecta-causing Sp7 R342C mutation
Wang JS, Strauss K, Houghton C et al. · Bone research 2025 · PMID 40683889 · doi:10.1038/s41413-025-00440-1
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 GSE270443_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 PRJNA1126646 and SRA study SRP515238. Searching any of these in the dataset finder brings you back here.

Study design
6 × WT vs 6 × RC

Supports a between-group comparison across 12 samples.

How we read this: 2 replicated groups read from 12 sample titles; they account for 12 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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