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Traumatic occlusion exacerbates bone resorption by modifying gene expression in the bone tissue of ligature-induced periodontitis in mice.

GSE316444 Mus musculus (mouse) RNA-seq (gene expression) 16 samples Submitted 2026/05/20 Platform GPL24247
At a glance

RNA-seq (gene expression) · mouse · 16 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
16 samples: 4 × Co vs 4 × Li vs 4 × Tra vs 4 × LiTraGroups 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
Traumatic Occlusion Exacerbates Bone Resorption by Modifying Gene Expression in the Bone Tissue of Ligature-Induced Periodontitis in MiceJournal of clinical periodontology · 2026
Summary (written by the submitters)
Aim: To clarify the molecular mechanisms of occlusal trauma in bone loss through periodontal tissue transcriptome analysis in mice with periodontitis and traumatic occlusion. Materials and Methods: Ligature-induced periodontitis (Li) and composite resin-induced traumatic occlusion (Tra) mouse models were established: control (Co), Li, Tra, and LiTra.
Read the full summary ↓
Bone resorption was evaluated using micro-computed tomography (micro-CT). RNA sequencing (RNA-seq) was conducted on gingiva, bone, and periodontal ligament from all groups 3 days post-induction. For long-term evaluation, the Co and Tra groups were maintained for 8 weeks, then analyzed using micro-CT and qRT-PCR. Results: Traumatic occlusion alone, sustained for 8 weeks, did not directly induce bone resorption; however, it significantly exacerbated bone resorption in mice with periodontitis. Cytokine–cytokine receptor interactions and Toll-like receptor signaling pathways were upregulated in LiTra bone tissue. Il11, Il1rl1, and Mmp3, associated with inflammation and bone metabolism, were more highly expressed in the LiTra group than in the Li group. TNF-α signaling via NFκB and inflammatory response gene sets were enriched in the bone tissue of LiTra group. Conclusions: Traumatic occlusion accelerates bone resorption in ligature-induced periodontitis but does not independently cause significant bone loss. Occlusal trauma enhances the expression of inflammation-related genes especially in bone with periodontitis.
Published in
Traumatic Occlusion Exacerbates Bone Resorption by Modifying Gene Expression in the Bone Tissue of Ligature-Induced Periodontitis in Mice
Tsuchiya Y, Ohsugi Y, Hirota T et al. · Journal of clinical periodontology 2026 · PMID 41883183 · doi:10.1111/jcpe.70112
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 GSE316444_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 PRJNA1402927 and SRA study SRP662151. Searching any of these in the dataset finder brings you back here.

Study design
4 × Co vs 4 × Li vs 4 × Tra vs 4 × LiTra

Supports a between-group comparison across 16 samples.

How we read this: 4 replicated groups read from 16 sample titles; they account for 16 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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