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由转录时间延迟驱动的Hes1、p53和NF-κB的振荡表达。

Oscillatory expression of Hes1, p53, and NF-kappaB driven by transcriptional time delays.

作者信息

Monk Nicholas A M

机构信息

Centre for Bioinformatics and Computational Biology, University of Sheffield, Royal Hallamshire Hospital, Sheffield, S10 2JF, United Kingdom.

出版信息

Curr Biol. 2003 Aug 19;13(16):1409-13. doi: 10.1016/s0960-9822(03)00494-9.

Abstract

Feedback inhibition of gene expression is a widespread phenomenon in which the expression of a gene is downregulated by its protein product. Feedback in eukaryotic cells involves time delays resulting from transcription, transcript splicing and processing, and protein synthesis. In principle, such delays can result in oscillatory mRNA and protein expression. However, experimental evidence of such delay-driven oscillations has been lacking. Using mathematical modeling informed by recent data, I show that the observed oscillatory expression and activity of three proteins is most likely to be driven by transcriptional delays. Each protein (Hes1, p53, and NF-kappaB) is a component of a short feedback inhibition loop. The oscillatory period is determined by the delay and the protein and mRNA half-lives, but it is robust to changes in the rates of transcription and protein synthesis. In contrast to nondelayed models, delayed models do not require additional components in the feedback loop. These results provide direct evidence that transcriptional delays can drive oscillatory gene activity and highlight the importance of considering delays when analyzing genetic regulatory networks, particularly in processes such as developmental pattern formation, where short half-lives and feedback inhibition are common.

摘要

基因表达的反馈抑制是一种普遍现象,即基因的表达会被其蛋白质产物下调。真核细胞中的反馈涉及转录、转录本剪接和加工以及蛋白质合成所导致的时间延迟。原则上,这种延迟可导致mRNA和蛋白质表达出现振荡。然而,一直缺乏这种由延迟驱动的振荡的实验证据。利用基于近期数据的数学模型,我发现观察到的三种蛋白质的振荡表达和活性很可能是由转录延迟驱动的。每种蛋白质(Hes1、p53和核因子κB)都是一个短反馈抑制环的组成部分。振荡周期由延迟以及蛋白质和mRNA的半衰期决定,但对转录和蛋白质合成速率的变化具有鲁棒性。与无延迟模型不同,延迟模型在反馈环中不需要额外的组件。这些结果提供了直接证据,表明转录延迟可驱动振荡基因活性,并突出了在分析基因调控网络时考虑延迟的重要性,特别是在发育模式形成等过程中,其中短半衰期和反馈抑制很常见。

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