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Quantitative proteomic analysis reveals environmental interaction and epistasis in the responses to complex stimuli in Saccharomyces cerevisiae.

机译:定量蛋白质组学分析揭示了对酿酒酵母酿酒酵母复杂刺激的反应中的环境相互作用和外观。

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The genotype of a cell and its interactions with the environment determine the cell's biochemical state. Although, the cellular responses to a single stimulus have been extensively studied, the response to concurrent stimuli is important and often neglected. There is need for a unifying conceptual framework to model the effects of multiple environmental stimuli applied concurrently. To build such a concept, we hypothesized that, as an abstraction, environmental stimuli can be treated as analogous to genetic elements. This would allow modeling of the effects of multiple stimuli using the concepts and tools developed for studying gene interactions. We defined an environmental interaction as the interaction between different environmental stimuli that affect the same observable characteristic or trait. Similar to the statistical definition of genetic epistasis, environmental epistasis is an environmental interaction in which the effects of the individual stimuli are not independent of each other. We devised a methodology using dominance in environmental interactions to identify proteins and pathways important for responding to a stimulus. We tested our hypothesis using quantitative proteomic analysis of cellular response of yeast S. cerevisiae to concurrent environmental stimuli.
机译:细胞的基因型及其与环境的相互作用决定了细胞的生物化学状态。虽然,对单一刺激的细胞反应已经过度研究了对同时刺激的反应是重要的并且通常被忽视。需要一个统一的概念框架来模拟同时应用多种环境刺激的效果。为了建立这样的概念,我们假设,作为抽象,可以将环境刺激与遗传元素类似。这将允许使用用于研究基因相互作用的概念和工具来建模多种刺激的效果。我们将环境相互作用定义为影响相同可观察特征或特征的不同环境刺激之间的相互作用。类似于遗传超越的统计学定义,环境简介是一种环境相互作用,其中各种刺激的效果彼此不合适。我们使用在环境相互作用中使用统治的方法来设计一种方法,以识别蛋白质和途径,以应对刺激措施。我们使用酵母菌酿酒酵母细胞响应的定量蛋白质组学分析来测试我们的假设,并进行环境刺激。

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