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Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
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Tissue Collection and RNA Extraction from the Human Osteoarthritic Knee Joint
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Gene Expression Profiling Studies Using Microarray in Osteoarthritis: Genes in Common and Different Conditions.

Weidong Liu1,2, Yan Jiao2, Cheng Tian2

  • 1Department of Orthopedic Surgery, The First Hospital of Qiqihaer City, 30 Gongyuan Road, Longsha District, Qiqihaer, 161005, Heilongjiang, People's Republic of China.

Archivum Immunologiae Et Therapiae Experimentalis
|September 11, 2020
PubMed
Summary

Gene microarray analysis reveals numerous genes involved in osteoarthritis (OA) pathogenesis across various tissues. However, limited common genes were identified, necessitating further research for targeted therapies.

Keywords:
Articular cartilageGene expression profilesOsteoarthritisSubchondral boneSynovium

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Area of Science:

  • Genomics
  • Molecular Biology
  • Rheumatology

Background:

  • Osteoarthritis (OA) is the most common joint disorder, characterized by cartilage degradation.
  • The exact causes of OA remain largely unknown, despite its significant impact on pain, disability, and healthcare costs.
  • Gene microarray analysis offers a powerful tool for investigating complex diseases like OA.

Purpose of the Study:

  • To review and summarize gene expression profiling studies in OA over the past decade.
  • To identify genes and pathways implicated in the pathological processes of OA.
  • To highlight the need for improved microarray study designs for future OA research.

Main Methods:

  • Systematic review of gene expression profiling studies on human and mouse OA models.
  • Analysis of data from various tissues including cartilage, subchondral bone, and synovium.
  • Comparison of differentially expressed genes across different studies and platforms.

Main Results:

  • Numerous differentially expressed genes were identified in OA tissues compared to normal tissues.
  • Key pathways implicated include matrix metabolism, bone turnover, and inflammation.
  • A significant lack of common genes reported across studies using diverse methodologies and tissues was observed.

Conclusions:

  • Gene expression profiling has identified numerous OA-associated genes and pathways.
  • Inconsistencies in reported genes suggest variability due to different study designs, tissues, and platforms.
  • Future well-designed microarray studies are crucial for understanding OA's genetic underpinnings and developing novel therapeutic strategies.