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Investigating hypoxic tumor physiology through gene expression patterns

✍ Scribed by Denko, Nicholas C; Fontana, Lucrezia A; Hudson, Karen M; Sutphin, Patrick D; Raychaudhuri, Soumya; Altman, Russ; Giaccia, Amato J


Book ID
110067795
Publisher
Nature Publishing Group
Year
2003
Tongue
English
Weight
265 KB
Volume
22
Category
Article
ISSN
0950-9232

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A structured model of gene expression, which incorporates the stochastic behavior of cellular processes, was developed to examine the &&all-or-none'' phenomenon observed in autocatalytic systems (e.g. the lac operon). Autocatalytic expression systems typically have the genes encoding the inducer tra