Cancer cell-based genomic and small molecule screens.
作者： Jeremy S. Caldwell
DOI: 10.1016/S0065-230X(06)96006-0
关键词: Cell growth 、 Human genome 、 Genomics 、 Bioinformatics 、 Gene expression profiling 、 Cancer 、 Biology 、 Computational biology 、 Context (language use) 、 Cancer cell 、 Small molecule
摘要: This chapter focuses on the promising post-genomic technologies being used for discovery of new, safer, and better cancer drugs drug targets. Since is largely a disease cell, usually involving unrestricted cell proliferation as result heritable genetic changes such mutation, this will focus cell-centric their utility in addressing major questions biology. Recent advances cell-based technology, including phenotypic assays, image-based readouts, primary tumor growth maintenance vitro, gene small molecule delivery tools, automated systems manipulation, provide novel means to understand etiology mechanisms never before. In addition abundant tool sophistication, many aspects can be emulated monitored systems, which makes them ideal vehicles exploitation discover new targets drugs. first handle nomenclature context "good target" within framework human genome, then overview functional genomic gene-based library screening approaches with specific applications target discovery. Second, handled, an emphasis paradigm massively parallel resultant multidimensional dataset analysis identify candidates, assign mechanism action, address problems deriving selective safe chemical entities.
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