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Using systems biology to determine how budding yeast coordinates carbon and nitrogen sensing for efficient growth

利用系统生物学确定出芽酵母如何协调碳和氮传感以实现高效生长

基本信息

批准号：
BB/W006545/1
负责人：
Peter Swain
金额：
$ 73.85万
依托单位：
University of Edinburgh
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2022
资助国家：
英国
起止时间：
2022 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FW006545%2F1
关键词：
Using systems biology determine how

项目摘要

A hallmark of life is the ability to sense and respond to change, and even unicellular organisms have this ability. They are able to sense changes in the availability of nutrients and adjust the rate at which they grow to new environments. Although we know the proteins involved in making this choice, we do not understand how they interact to enable cells to "decide" appropriately. A difficulty is monitoring the proteins as they perform decision-making. We will use bakers' yeast, a cell with a nucleus like our own cells, where we can measure its decision-making activity by the shuttling of proteins in and out of the nucleus. By exposing cells to changing levels of carbon and nitrogen sources - two essential nutrients, and by transiently removing proteins that are key to signalling, we will characterise how sensing is coordinated with growth. Through integrating this data with mathematical modelling, we will infer the decision-making strategy that is most supported by our results. Evolution means that yeast cells are related to human cells, and signalling proteins in yeast are similar to our own signalling proteins. This task of coordinating growth with the availability nutrients is fundamental, and the strategy we uncover should therefore be general and operate too in other organisms.

生命的一个标志是感知和应对变化的能力，即使是单细胞生物也有这种能力。它们能够感知营养物质的变化，并调整它们生长的速度以适应新的环境。虽然我们知道参与做出这种选择的蛋白质，但我们不知道它们如何相互作用，使细胞能够做出适当的“决定”。一个困难是在蛋白质进行决策时对其进行监测。我们将使用面包酵母，一种像我们自己的细胞一样有核的细胞，我们可以通过蛋白质进出核来测量它的决策活动。通过将细胞暴露于不断变化的碳源和氮源（两种必需营养素）水平，并通过瞬时去除信号传导的关键蛋白质，我们将研究传感如何与生长协调。通过将这些数据与数学建模相结合，我们将推断出最受我们结果支持的决策策略。进化意味着酵母细胞与人类细胞相关，酵母中的信号蛋白与我们自己的信号蛋白相似。这种协调生长与营养物质可用性的任务是根本性的，因此我们发现的策略应该是通用的，也适用于其他生物。