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Identification of two factors required for transcription of the ovalbumin gene. 总被引:29,自引:10,他引:19 下载免费PDF全文
I Sagami S Y Tsai H Wang M J Tsai B W O''''Malley 《Molecular and cellular biology》1986,6(12):4259-4267
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Ca(2+)-dependent gene expression mediated by MEF2 transcription factors 总被引:16,自引:0,他引:16
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ErbB receptor-induced activation of stat transcription factors is mediated by Src tyrosine kinases. 总被引:16,自引:0,他引:16
M A Olayioye I Beuvink K Horsch J M Daly N E Hynes 《The Journal of biological chemistry》1999,274(24):17209-17218
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Tone M Powell MJ Tone Y Thompson SA Waldmann H 《Journal of immunology (Baltimore, Md. : 1950)》2000,165(1):286-291
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It is widely accepted that gene expression regulation is a stochastic event. The common approach for its computer simulation requires detailed information on the interactions of individual molecules, which is often not available for the analyses of biological experiments. As an alternative approach, we employed a more intuitive model to simulate the experimental result, the Markov-chain model, in which a gene is regulated by activators and repressors, which bind the same site in a mutually exclusive manner. Our stochastic simulation in the presence of both activators and repressors predicted a Hill-coefficient of the dose-response curve closer to the experimentally observed value than the calculated value based on the simple additive effects of activators alone and repressors alone. The simulation also reproduced the heterogeneity of gene expression levels among individual cells observed by Fluorescence Activated Cell Sorting analysis. Therefore, our approach may help to apply stochastic simulations to broader experimental data. 相似文献