tailieunhanh - Báo cáo y học: " Application of microarray technology in pulmonary diseases"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học 'Respiratory Research cung cấp cho các bạn kiến thức về ngành y đề tài:Application of microarray technology in pulmonary disease. | Respiratory Research BioMed Central Review Open Access Application of microarray technology in pulmonary diseases Argyris Tzouvelekis George Patlakas and Demosthenes Bouros Address Department of Pneumonology Medical School Democritus University of Thrace Greece Email Argyris Tzouvelekis - atzouvelekis@ George Patlakas - gpatlak@ Demosthenes Bouros - bouros@ Corresponding author Published 07 December 2004 Received 26 September 2004 Accepted 07 December 2004 Respiratory Research 2004 5 26 doi 1465-9921 -5-26 This article is available from http content 5 1 26 2004 Tzouvelekis 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 properly cited. Abstract Microarrays are a powerful tool that have multiple applications both in clinical and cell biology arenas of common lung diseases. To exemplify how this tool can be useful in this review we will provide an overview of the application of microarray technology in research relevant to common lung diseases and present some of the future perspectives. Introduction Microarray technology is rapidly becoming a standard technology used in research laboratories all across the world. Since its first application in the mid 1990s 1 microarray technology has been successfully applied to almost every aspect of biomedical research 2-7 with over 250 papers in respiratory research alone. Research conducted the last ten years has elevated the status of microarray technology from poorly understood and doubtfully applied in the fields of medicine to one that requires attention when the examination of clusters of genes in a single experiment is considered. Far more progress has been made toward an understanding of the pivotal role of microarrays in .

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