Đang chuẩn bị nút TẢI XUỐNG, xin hãy chờ
Tải xuống
Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: A novel and universal method for microRNA RT-qPCR data normalization. | Open Access Method A novel and universal method for microRNA RT-qPCR data normalization Pieter Mestdagh Pieter Van Vlierberghe An De Weer Daniel Muth Frank Westermann Frank Speleman and Jo Vandesompele Addresses Center for Medical Genetics Ghent University Hospital De Pintelaan 185 Ghent Belgium. Department of Tumour Genetics German Cancer Center Im Neuenheimer Feld 280 Heidelberg Germany. Correspondence Jo Vandesompele. Email Joke.Vandesompele@UGent.be Published 16 June 2009 Genome Biology 2009 10 R64 doi 10.1186 gb-2009- 10-6-r64 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2009 10 6 R64 Received 2 April 2009 Revised 2 April 2009 Accepted l6 June 2009 2009 Mestdagh et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Gene expression analysis of microRNA molecules is becoming increasingly important. In this study we assess the use of the mean expression value of all expressed microRNAs in a given sample as a normalization factor for microRNA real-time quantitative PCR data and compare its performance to the currently adopted approach. We demonstrate that the mean expression value outperforms the current normalization strategy in terms of better reduction of technical variation and more accurate appreciation of biological changes. Background MicroRNAs miRNAs are an important class of gene regulators acting on several aspects of cellular function such as differentiation cell cycle control and stemness. Not surprisingly deregulated miRNA expression has been implicated in a wide variety of diseases including cancer 1 . Moreover miRNA expression profiling of different tumor entities resulted in the identification of miRNA signatures correlating with .
