A guide to ERK dynamics, part 1: mechanisms and models.

IF 4.4 3区 生物学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Biochemical Journal Pub Date : 2023-12-13 DOI:10.1042/BCJ20230276
Abhineet Ram, Devan Murphy, Nicholaus DeCuzzi, Madhura Patankar, Jason Hu, Michael Pargett, John G Albeck
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Abstract

Extracellular signal-regulated kinase (ERK) has long been studied as a key driver of both essential cellular processes and disease. A persistent question has been how this single pathway is able to direct multiple cell behaviors, including growth, proliferation, and death. Modern biosensor studies have revealed that the temporal pattern of ERK activity is highly variable and heterogeneous, and critically, that these dynamic differences modulate cell fate. This two-part review discusses the current understanding of dynamic activity in the ERK pathway, how it regulates cellular decisions, and how these cell fates lead to tissue regulation and pathology. In part 1, we cover the optogenetic and live-cell imaging technologies that first revealed the dynamic nature of ERK, as well as current challenges in biosensor data analysis. We also discuss advances in mathematical models for the mechanisms of ERK dynamics, including receptor-level regulation, negative feedback, cooperativity, and paracrine signaling. While hurdles still remain, it is clear that higher temporal and spatial resolution provide mechanistic insights into pathway circuitry. Exciting new algorithms and advanced computational tools enable quantitative measurements of single-cell ERK activation, which in turn inform better models of pathway behavior. However, the fact that current models still cannot fully recapitulate the diversity of ERK responses calls for a deeper understanding of network structure and signal transduction in general.

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ERK动力学指南,第1部分:机制和模型。
细胞外信号调节激酶(ERK)长期以来一直被研究为基本细胞过程和疾病的关键驱动因素。一个一直存在的问题是,这种单一途径如何能够指导多种细胞行为,包括生长、增殖和死亡。现代生物传感器研究表明,ERK活性的时间模式是高度可变和异质性的,关键的是,这些动态差异调节了细胞的命运。这篇由两部分组成的综述讨论了目前对ERK通路动态活性的理解,它如何调节细胞决策,以及这些细胞命运如何导致组织调节和病理。在第1部分中,我们介绍了光遗传学和活细胞成像技术,这些技术首次揭示了ERK的动态性质,以及生物传感器数据分析中的当前挑战。我们还讨论了ERK动力学机制的数学模型的进展,包括受体水平的调节、负反馈、协同性和旁分泌信号。虽然障碍仍然存在,但很明显,更高的时间和空间分辨率提供了对通路电路的机制见解。令人兴奋的新算法和先进的计算工具使单细胞ERK激活的定量测量成为可能,从而为更好的通路行为模型提供信息。然而,目前的模型仍然不能完全概括ERK反应的多样性,这一事实要求我们对网络结构和信号转导有更深入的了解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biochemical Journal
Biochemical Journal 生物-生化与分子生物学
CiteScore
8.00
自引率
0.00%
发文量
255
审稿时长
1 months
期刊介绍: Exploring the molecular mechanisms that underpin key biological processes, the Biochemical Journal is a leading bioscience journal publishing high-impact scientific research papers and reviews on the latest advances and new mechanistic concepts in the fields of biochemistry, cellular biosciences and molecular biology. The Journal and its Editorial Board are committed to publishing work that provides a significant advance to current understanding or mechanistic insights; studies that go beyond observational work using in vitro and/or in vivo approaches are welcomed. Painless publishing: All papers undergo a rigorous peer review process; however, the Editorial Board is committed to ensuring that, if revisions are recommended, extra experiments not necessary to the paper will not be asked for. Areas covered in the journal include: Cell biology Chemical biology Energy processes Gene expression and regulation Mechanisms of disease Metabolism Molecular structure and function Plant biology Signalling
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