Häupl Thomas, Krenn Veit, Stuhlmüller Bruno, Radbruch Andreas, Burmester Gerd R
Department of Rheumatology, Charité, Berlin, Germany.
Arthritis Res Ther. 2004;6(4):140-6. doi: 10.1186/ar1194. Epub 2004 Jun 4.
The deciphering of the sequence of the human genome has raised the expectation of unravelling the specific role of each gene in physiology and pathology. High-throughput technologies for gene expression profiling provide the first practical basis for applying this information. In rheumatology, with its many diseases of unknown pathogenesis and puzzling inflammatory aspects, these advances appear to promise a significant advance towards the identification of leading mechanisms of pathology. Expression patterns reflect the complexity of the molecular processes and are expected to provide the molecular basis for specific diagnosis, therapeutic stratification, long-term monitoring and prognostic evaluation. Identification of the molecular networks will help in the discovery of appropriate drug targets, and permit focusing on the most effective and least toxic compounds. Current limitations in screening technologies, experimental strategies and bioinformatic interpretation will shortly be overcome by the rapid development in this field. However, gene expression profiling, by its nature, will not provide biochemical information on functional activities of proteins and might only in part reflect underlying genetic dysfunction. Genomic and proteomic technologies will therefore be complementary in their scientific and clinical application.
人类基因组序列的破解引发了人们对于揭示每个基因在生理和病理过程中具体作用的期望。用于基因表达谱分析的高通量技术为应用这些信息提供了首个切实可行的基础。在风湿病学领域,由于存在许多发病机制不明且炎症方面令人困惑的疾病,这些进展似乎有望在确定主要病理机制方面取得重大进展。表达模式反映了分子过程的复杂性,有望为特异性诊断、治疗分层、长期监测和预后评估提供分子基础。分子网络的识别将有助于发现合适的药物靶点,并能够专注于最有效且毒性最小的化合物。该领域的快速发展不久将克服目前在筛选技术、实验策略和生物信息学解释方面的局限性。然而,基因表达谱分析从本质上讲不会提供关于蛋白质功能活性的生化信息,可能仅部分反映潜在的基因功能障碍。因此,基因组学和蛋白质组学技术在科学和临床应用中将具有互补性。