However, result accuracy is largely dependent on effective data normalization.. A novel and universal way for microRNA data analysis Our knowledge of the importance of microRNAs in regulating gene expression is expanding, and with it our requirement for robust solutions to measure their expression levels. Now a fresh method published in BioMed Central’s open access journal Genome Biology helps researchers to raised understand the delicate interplay between variations in microRNA expression amounts and their focus on genes. Following their highly cited way for the analysis of reverse transcription quantitative PCR expression data for mRNA transcripts, published in Genome Biology in 2007, Jo Vandesompele of the guts for Medical Genetics, Ghent University Hospital, Colleagues and Belgium have made an innovative, straightforward and universally relevant method for quantitative RT-PCR data normalization for microRNAs.Quezado, M.D., Katherine R. Calvo, M.D., Ph.D., Hawwa Alao, M.D., Beverly K. Barham, R.N., M.S.N., Anne Jones, R.N., B.S.N., James F. Meschia, M.D., Bradford B. Worrall, M.D., Scott E. Kasner, M.D., Stephen S. Rich, Ph.D., Raphaela Goldbach-Mansky, M.D., Mario Abinun, M.D., Elizabeth Chalom, M.D., Alisa C. Gotte, M.D., Marilynn Punaro, M.D., Virginia Pascual, M.D., James W. Verbsky, M.D., Ph.D., Troy R. Torgerson, M.D., Ph.D., Nora G. Singer, M.D., Timothy R. Gershon, M.D., Ph.D., Seza Ozen, M.D., Omer Karadag, M.D., Thomas A. Fleisher, M.D., Elaine F. Remmers, Ph.D., Shawn M. Burgess, Ph.D., Susan L. Moir, Ph.D., Massimo Gadina, Ph.D., Raman Sood, Ph.D., Michael S.
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