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16 - In ovo RNAi opens new possibilities for functional genomics in vertebrates
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- By Dimitris Bourikas, University of Zurich, Institute of Zoology, Thomas Baeriswyl, University of Zurich, Institute of Zoology, Rejina Sadhu, University of Zurich, Institute of Zoology, Esther T. Stoeckli, University of Zurich, Institute of Zoology
- Edited by Krishnarao Appasani, GeneExpression Systems, Inc., Massachusetts
- Foreword by Andrew Fire, Stanford University, California, Marshall Nirenberg
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- Book:
- RNA Interference Technology
- Published online:
- 31 July 2009
- Print publication:
- 17 January 2005, pp 220-232
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- Chapter
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Summary
Introduction
The development of high-throughput methods has changed the way genes are analyzed. In the past, a spontaneous or targeted mutation was a prerequisite for the identification of a gene and its function. Today, genome-sequencing projects and large-scale screens provide a tremendous amount of information about the genetic make-up of an organism. Unfortunately, the long lists of genes expressed in specific tissues or distinct phases of an organism's life provide little or no information about the function of the expressed proteins. Functional gene analysis remains a time-consuming and challenging step that requires changes in gene expression in the context of a living organism. Therefore, the availability of suitable model systems is key to our progress in understanding the role of genes in biological processes. Model systems need to be easily accessible and efficient in producing functional read-outs of gene manipulation. Due to constraints in time and money these criteria were met only by invertebrate animal models, such as Drosophila and C. elegans (Adams and Sekelsky, 2002; St. Johnston, 2002; Lee et al., 2003; Simmer et al., 2003). For many studies, however, vertebrate model systems are required. The mouse has been the most widely used vertebrate model system, because technologies for genetic manipulations based on homologous recombination in embryonic stem cells are available and allow for selected inactivation of target genes (Porter, 1998; Müller, 1999; Jackson, 2001).