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.

Abstract

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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