Identification of differentially expressed genes in rheumatoid arthritis by a combination of complementary DNA array

E Neumann1, F Kullmann, M Judex

  • 1University of Regensburg, Germany.

Arthritis and Rheumatism
|January 31, 2002
PubMed
Abstract

Insights

Researchers identified 12 differentially expressed genes in rheumatoid arthritis (RA) synovial fibroblasts using RNA arbitrarily primed-polymerase chain reaction (RAP-PCR) and cDNA arrays. This method efficiently detects gene changes in RA joint tissues with minimal RNA.

Area of Science:

  • Rheumatology
  • Molecular Biology
  • Genetics

Background:

  • Rheumatoid arthritis (RA) involves progressive joint destruction.
  • T cell-independent pathways, including protooncogene up-regulation and growth factor production, contribute to RA pathogenesis.
  • Identifying specific gene expression changes in RA synovial fibroblasts is crucial for understanding disease mechanisms.

Purpose of the Study:

  • To identify differentially expressed genes in synovial fibroblasts from patients with rheumatoid arthritis (RA) compared to osteoarthritis (OA).
  • To evaluate the efficacy of RNA arbitrarily primed-polymerase chain reaction (RAP-PCR) combined with complementary DNA (cDNA) arrays for differential gene screening.

Main Methods:

  • RNA was extracted from cultured synovial fibroblasts of 6 RA and 6 OA patients.
  • Differential gene expression screening was performed using RAP-PCR and cDNA arrays.
  • Key differentially expressed genes were validated using semiquantitative RT-PCR and in situ hybridization.

Main Results:

  • The combined RAP-PCR and cDNA array approach identified 12 differentially expressed genes in RA synovial fibroblasts compared to OA (approximately 6% of screened genes).
  • This method demonstrated high sensitivity, enabling detection with small RNA quantities.
  • Validation confirmed the differential expression of selected genes.

Conclusions:

  • RNA arbitrarily primed-polymerase chain reaction (RAP-PCR) coupled with cDNA arrays is an efficient and reliable method for identifying differentially expressed genes in rheumatoid arthritis synovial fibroblasts.
  • The technique is suitable for analyzing small RNA samples, facilitating the discovery of novel disease-associated genes.
  • This approach aids in understanding the molecular basis of rheumatoid arthritis progression.