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 profiling for defining targets for new therapeutics in autoimmune diseases. | Available online http content 5 2 47 Review Gene profiling for defining targets for new therapeutics in autoimmune diseases Lars Rogge Immunoregulation Laboratory Department of Immunology Institut Pasteur Paris France Corresponding author Lars Rogge e-mail lrogge@ Received 18 October 2002 Accepted 14 November 2002 Published 6 January 2003 Arthritis Res Ther 2003 5 47-50 DOI ar618 2003 BioMed Central Ltd Print ISSN 1478-6354 Online ISSN 1478-6362 Abstract The identification of novel targets for improved diagnosis and pharmaceutical intervention is of critical importance for better treatment of autoimmune diseases in the future. The possibility to measure levels of gene expression for tens of thousands of genes simultaneously and in a quantitative fashion will greatly enhance our knowledge of genes and pathways involved in disease pathogenesis. Initial studies have focused on the gene expression profiling of homogeneous cell populations. Genomic-scale gene expression profiling has also more recently been applied to tissue samples from patients with immunopathologies. The scope of the present review is to discuss recent progress in this field with respect to the identification of novel target molecules. Keywords autoimmune diseases high-throughput EST sequencing microarrays target identification T lymphocytes Introduction Genomic-scale gene expression profiling has an increasing impact on immunology and in particular on the characterization of immunological diseases. This profiling technology can reveal the physiology of cells and tissues on an unprecedented scale by quantitating in parallel the mRNA levels of tens of thousands of genes 1 . Global gene expression studies rely mainly on two technologies spotted cDNA microarrays and high-density oligonucleotide microarrays 2 3 for reviews of the two technologies see 4 5 . Microarray experiments generate an amount of data that cannot be handled by simple sorting in spreadsheets or
