tailieunhanh - Báo cáo y học: "Gene expression profiles in the rat streptococcal cell wall-induced arthritis model identified using microarray analysis"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học General Psychiatry cung cấp cho các bạn kiến thức về ngành y đề tài:Gene expression profiles in the rat streptococcal cell wall-induced arthritis model identified using microarray analysis. | Available online http content 7 1 R101 Research article Gene expression profiles in the rat streptococcal cell wall-induced arthritis model identified using microarray analysis Inmaculada Rioja1 Chris L Clayton2 Simon J Graham2 Paul F Life1 and Marion C Dickson1 Rheumatoid Arthritis Disease Biology Department GlaxoSmithKline Medicines Research Centre Stevenage UK 2Transcriptome Analysis Department GlaxoSmithKline Medicines Research Centre Stevenage UK Corresponding author Inmaculada Rioja inma_rioja@ Received 3 Jul 2004 Revisions requested 16 Sep 2004 Revisions received 4 Oct 2004 Accepted 9 Oct 2004 Published 19 Nov 2004 Arthritis Res Ther 2005 7 R101-R117 DOI ar1458 2004 Rioja et al. licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is cited. Open Access Abstract Experimental arthritis models are considered valuable tools for delineating mechanisms of inflammation and autoimmune phenomena. Use of microarray-based methods represents a new and challenging approach that allows molecular dissection of complex autoimmune diseases such as arthritis. In order to characterize the temporal gene expression profile in joints from the reactivation model of streptococcal cell wall SCW -induced arthritis in Lewis LEW N rats total RNA was extracted from ankle joints from naive SCW injected or phosphate buffered saline injected animals time course study and gene expression was analyzed using Affymetrix oligonucleotide microarray technology RAE230A . After normalization and statistical analysis of data 631 differentially expressed genes were sorted into clusters based on their levels and kinetics of expression using Spotfire profile search and K-mean cluster analysis. Microarray-based data for a subset of genes were .