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

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
批准号:
BB/W006545/1
负责人:
Peter Swain
金额:
$73.85万
依托单位:
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
项目状态:
未结题
起止时间:
2022 至 --

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中文摘要
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英文摘要
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.
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DOI: 10.1093/bioinformatics/btad688
发表时间: 2023-12-01
期刊: Bioinformatics (Oxford, England)
影响因子: --
作者: []
通讯作者:
Understanding the regulation of glucose sensing and transport in budding yeast using dynamic inputs
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    BB/R001359/1
  • 项目类别:
    Research Grant
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    $61.05万
  • 财政年份:
    2018
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Bilateral NSF/BIO-BBSRC: Quantifying cellular signalling by dynamically pulsing transcription factors
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    2015
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A mathematical and experimental study of feedback in the single-cell dynamics of a transcriptional network in budding yeast
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    2011
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The BioGRID Database: An Open International Resource for Biological Interactions
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    2008
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