tailieunhanh - RNA Interference Technology FROM BASIC SCIENCE TO DRUG DEVELOPMENT

It has been a privilege to watch the growth of RNA interference technology over the last ten years. Starting with a mixture of curiosity and chagrin, the field has grown into a substantial enterprise which impacts (and utilizes resources from) virtually every field of biomedical research. Research in RNAi derives from a set of apparently unconnected observations: strange pigment patterns in plants, unexpected failures and successes in antisense and overexpression studies, small regulatory RNAs in bacteria. If there is an underlying and recurring scientific lesson, it has been: “Pursue the unexpected.” Basic and applied research each advance as a consequence of this pursuit; certainly this has been no. | Edited by Krishnarao Appasani Forewords by Andrew Fire and Marshall Nirenberg Cambridge Cambridge more information - 9780521836777 RNA INTERFERENCE TECHNOLOGY RNA Interference RNAi technology has rapidly become one of the key methods used in functional genomics. RNAi is used to block the expression of genes and create phenotypes that can potentially yield clues about the function of these genes. In the postgenomic era the elucidation of the physiological function of genes has become the rate-limiting step in the quest to develop gene-based drugs and RNAi could potentially play a pivotal role in the validation of such novel drugs. In this cutting-edge overview the basic concepts of RNAi biology are discussed as well as the current and potential applications. Leading experts from both academia and industry have contributed to this invaluable reference for graduate students postdocs and researchers from academia wanting to initiate RNAi research in their own labs as well as for those working in research and development in biotech and pharmaceutical companies who need to understand this emerging technology. Krishnarao Appasani is the Founder and Chief Executive Officer of GeneExpression Systems a gene discovery company focusing on functional genomics in cancer .

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