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本文引用的文献

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A versatile toolkit to produce sensitive FRET biosensors to visualize signaling in time and space.一种多功能工具包,用于制作灵敏的 FRET 生物传感器,以实时和空间分辨的方式可视化信号转导。
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2
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FEBS Lett. 2013 Sep 2;587(17):2753-66. doi: 10.1016/j.febslet.2013.07.012. Epub 2013 Jul 12.
3
The origins of enzyme kinetics.酶动力学的起源。
FEBS Lett. 2013 Sep 2;587(17):2725-30. doi: 10.1016/j.febslet.2013.06.009. Epub 2013 Jun 19.
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Three-dimensional structure of Saccharomyces invertase: role of a non-catalytic domain in oligomerization and substrate specificity.酿酒酵母转化酶的三维结构:非催化结构域在寡聚化和底物特异性中的作用。
J Biol Chem. 2013 Apr 5;288(14):9755-9766. doi: 10.1074/jbc.M112.446435. Epub 2013 Feb 21.
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The temporal pattern of stimulation determines the extent and duration of MAPK activation in a Caenorhabditis elegans sensory neuron.刺激的时间模式决定了秀丽隐杆线虫感觉神经元中 MAPK 激活的程度和持续时间。
Sci Signal. 2012 Oct 16;5(246):ra76. doi: 10.1126/scisignal.2002983.
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Torso RTK controls Capicua degradation by changing its subcellular localization.躯干 RTK 通过改变其亚细胞定位来控制 Capicua 的降解。
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Proteomic and functional genomic landscape of receptor tyrosine kinase and ras to extracellular signal-regulated kinase signaling.受体酪氨酸激酶和 ras 到细胞外信号调节激酶信号转导的蛋白质组学和功能基因组景观。
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ERK 作为细胞中酶动力学系统生物学的模型。

ERK as a model for systems biology of enzyme kinetics in cells.

机构信息

Department of Chemical and Biological Engineering, Princeton University, Princeton, USA.

出版信息

Curr Biol. 2013 Nov 4;23(21):R972-9. doi: 10.1016/j.cub.2013.09.033.

DOI:10.1016/j.cub.2013.09.033
PMID:24200329
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4131290/
Abstract

A key step towards a chemical picture of enzyme catalysis was taken in 1913, when Leonor Michaelis and Maud Menten published their studies of sucrose hydrolysis by invertase. Based on a novel experimental design and a mathematical model, their work offered a quantitative view of biochemical kinetics well before the protein nature of enzymes was established and complexes with substrates could be detected. Michaelis-Menten kinetics provides a solid framework for enzyme kinetics in vitro, but what about kinetics in cells, where enzymes can be highly regulated and participate in a multitude of interactions? We discuss this question using the Extracellular Signal Regulated Kinase (ERK), which controls a myriad functions in cells, as a model of an important enzyme for which we have crystal structures, quantitative in vitro assays, and a vast list of binding partners. Despite great progress, we still cannot quantitatively predict how the rates of ERK-dependent reactions respond to genetic and pharmacological perturbations. Achieving this goal, which is important from both fundamental and practical standpoints, requires measuring the rates of enzyme reactions in their native environment and interpreting these measurements using simple but realistic mathematical models--the two elements which served as the cornerstones for Michaelis' and Menten's seminal 1913 paper.

摘要

1913 年,莱昂诺尔·迈克尔利斯和梅德·门腾发表了他们关于蔗糖水解的研究成果,这标志着酶催化的化学图像研究迈出了关键的一步。基于新颖的实验设计和数学模型,他们的工作在酶的蛋白质性质被确定之前,以及可以检测到与底物的复合物之前,就提供了生化动力学的定量观点。米氏动力学为体外酶动力学提供了一个坚实的框架,但在细胞内动力学中呢?在细胞内,酶可以受到高度调控,并参与多种相互作用。我们使用细胞中控制多种功能的细胞外信号调节激酶(ERK)作为模型来讨论这个问题,ERK 是一种重要的酶,我们已经有了其晶体结构、定量的体外测定以及大量的结合伙伴。尽管已经取得了很大的进展,但我们仍然无法定量预测 ERK 依赖性反应的速率如何对遗传和药理学扰动做出响应。从基础和实际的角度来看,实现这一目标是很重要的,这需要在其天然环境中测量酶反应的速率,并使用简单但现实的数学模型来解释这些测量结果——这两个元素是迈克尔利斯和门腾 1913 年开创性论文的基石。