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Updated: Dec 5, 2025

Standardized Histomorphometric Evaluation of Osteoarthritis in a Surgical Mouse Model
Published on: May 6, 2020
OATargets: a knowledge base of genes associated with osteoarthritis joint damage in animals
Jamie Soul1, Matthew J Barter2, Christopher B Little3
1Skeletal Research Group, Biosciences Institute, Newcastle University, Newcastle upon Tyne, Tyne and Wear, UK jamie.soul@newcastle.ac.uk.
Objectives:
To collate the genes experimentally modulated in animal models of osteoarthritis (OA) and compare these data with OA transcriptomics data to identify potential therapeutic targets.
Methods:
PubMed searches were conducted to identify publications describing gene modulations in animal models. Analysed gene expression data were retrieved from the SkeletalVis database of analysed skeletal microarray and RNA-Seq expression data. A network diffusion approach was used to predict new genes associated with OA joint damage.
Results:
A total of 459 genes were identified as having been modulated in animal models of OA, with ageing and post-traumatic (surgical) models the most prominent. Ninety-eight of the 143 genes (69%) genetically modulated more than once had a consistent effect on OA joint damage severity. Several discrepancies between different studies were identified, providing lessons on interpretation of these data. We used the data collected along with OA gene expression data to expand existing annotations and prioritise the most promising therapeutic targets, which we validated using the latest reported associations. We constructed an online database OATargets to allow researchers to explore the collated data and integrate it with existing OA and skeletal gene expression data.
Conclusions:
We present a comprehensive survey and online resource for understanding gene regulation of animal model OA pathogenesis.
Insights
This study identifies 459 genes modulated in osteoarthritis (OA) animal models. The OATargets database prioritizes therapeutic targets by integrating gene modulation and OA transcriptomics data for better pathogenesis understanding.
Area of Science:
- Molecular Biology
- Genetics
- Bioinformatics
Background:
- Osteoarthritis (OA) pathogenesis involves complex gene regulation.
- Understanding gene modulation in animal models is crucial for identifying therapeutic targets.
- Existing data on OA-related gene modulation is fragmented.
Purpose of the Study:
- To collate genes experimentally modulated in OA animal models.
- To compare this data with OA transcriptomics data.
- To identify and prioritize potential therapeutic targets for OA.
Main Methods:
- Conducted PubMed searches for gene modulation studies in OA animal models.
- Retrieved analyzed gene expression data from the SkeletalVis database.
- Employed a network diffusion approach to predict novel OA-associated genes.
Main Results:
- Identified 459 genes modulated in OA animal models, with aging and post-traumatic models being prominent.
- Found that 69% of consistently modulated genes had a predictable effect on OA joint damage severity.
- Developed the OATargets online database to integrate OA gene modulation and expression data.
Conclusions:
- Presents a comprehensive survey and online resource for OA gene regulation in animal models.
- Facilitates exploration and integration of OA gene expression data for researchers.
- Aims to advance the understanding of OA pathogenesis and therapeutic target identification.
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