The Antisocial Network: Cross Talk Between Cell Death Programs in Host Defense.

IF 3.9 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2021-04-26 Epub Date: 2021-01-13 DOI:10.1146/annurev-immunol-112019-072301
Annelise G Snyder, Andrew Oberst
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引用次数: 46

Abstract

Nearly all animal cells contain proteins evolved to trigger the destruction of the cell in which they reside. The activation of these proteins occurs via sequential programs, and much effort has been expended in delineating the molecular mechanisms underlying the resulting processes of programmed cell death (PCD). These efforts have led to the definition of apoptosis as a form of nonimmunogenic PCD that is required for normal development and tissue homeostasis, and of pyroptosis and necroptosis as forms of PCD initiated by pathogen infection that are associated with inflammation and immune activation. While this paradigm has served the field well, numerous recent studies have highlighted cross talk between these programs, challenging the idea that apoptosis, pyroptosis, and necroptosis are linear pathways with defined immunological outputs. Here, we discuss the emerging idea of cell death as a signaling network, considering connections between cell death pathways both as we observe them now and in their evolutionary origins. We also discuss the engagement and subversion of cell death pathways by pathogens, as well as the key immunological outcomes of these processes.

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反社会网络:宿主防御中细胞死亡程序之间的串扰。
几乎所有的动物细胞都含有蛋白质,这些蛋白质是为了触发它们所在细胞的破坏而进化的。这些蛋白质的激活是通过顺序程序进行的,并且在描述程序性细胞死亡(PCD)的分子机制方面已经付出了很多努力。这些努力已经导致将细胞凋亡定义为正常发育和组织稳态所需的一种非免疫原性PCD,并将焦下垂和坏死定义为由与炎症和免疫激活相关的病原体感染引发的PCD。虽然这一范式在该领域发挥了很好的作用,但最近的许多研究强调了这些程序之间的相互作用,挑战了细胞凋亡、焦下垂和坏死是具有明确免疫输出的线性途径的观点。在这里,我们讨论了细胞死亡作为一个信号网络的新概念,考虑到我们现在观察到的细胞死亡途径之间的联系及其进化起源。我们还讨论了病原体对细胞死亡途径的参与和颠覆,以及这些过程的关键免疫结果。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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