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基于系统生物学的宿主-疟原虫相互作用研究。

Systems Biology-Based Investigation of Host-Plasmodium Interactions.

机构信息

School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Malaria Host-Pathogen Interaction Center, Emory University, Atlanta, GA 30322, USA.

School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA; Malaria Host-Pathogen Interaction Center, Emory University, Atlanta, GA 30322, USA.

出版信息

Trends Parasitol. 2018 Jul;34(7):617-632. doi: 10.1016/j.pt.2018.04.003. Epub 2018 May 18.

DOI:10.1016/j.pt.2018.04.003
PMID:29779985
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7028355/
Abstract

Malaria is a serious, complex disease caused by parasites of the genus Plasmodium. Plasmodium parasites affect multiple tissues as they evade immune responses, replicate, sexually reproduce, and transmit between vertebrate and invertebrate hosts. The explosion of omics technologies has enabled large-scale collection of Plasmodium infection data, revealing systems-scale patterns, mechanisms of pathogenesis, and the ways that host and pathogen affect each other. Here, we provide an overview of recent efforts using systems biology approaches to study host-Plasmodium interactions and the biological themes that have emerged from these efforts. We discuss some of the challenges in using systems biology for this goal, key research efforts needed to address those issues, and promising future malaria applications of systems biology.

摘要

疟疾是一种由疟原虫属寄生虫引起的严重、复杂的疾病。疟原虫寄生虫在逃避免疫反应、复制、有性繁殖和在脊椎动物和无脊椎动物宿主之间传播时,会影响多种组织。组学技术的爆炸式发展使得大规模收集疟原虫感染数据成为可能,揭示了系统规模的模式、发病机制的机制以及宿主和病原体相互影响的方式。在这里,我们提供了一个使用系统生物学方法研究宿主-疟原虫相互作用和从这些努力中出现的生物学主题的最新进展概述。我们讨论了使用系统生物学实现这一目标所面临的一些挑战、解决这些问题所需的关键研究努力以及系统生物学在未来疟疾应用方面的前景。

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本文引用的文献

1
Single-cell RNA-seq reveals hidden transcriptional variation in malaria parasites.单细胞 RNA 测序揭示疟疾寄生虫中隐藏的转录变异。
Elife. 2018 Mar 27;7:e33105. doi: 10.7554/eLife.33105.
2
The Plasmodium falciparum transcriptome in severe malaria reveals altered expression of genes involved in important processes including surface antigen-encoding var genes.恶性疟原虫转录组在严重疟疾中的改变揭示了与表面抗原编码 var 基因等重要过程相关的基因表达发生改变。
PLoS Biol. 2018 Mar 12;16(3):e2004328. doi: 10.1371/journal.pbio.2004328. eCollection 2018 Mar.
3
Metabolic modeling helps interpret transcriptomic changes during malaria.代谢建模有助于解释疟疾过程中的转录组变化。
Biochim Biophys Acta Mol Basis Dis. 2018 Jun;1864(6 Pt B):2329-2340. doi: 10.1016/j.bbadis.2017.10.023. Epub 2017 Oct 22.
4
Mechanisms of Plasmodium-Enhanced Attraction of Mosquito Vectors.疟原虫增强蚊子媒介吸引力的机制。
Trends Parasitol. 2017 Dec;33(12):961-973. doi: 10.1016/j.pt.2017.08.010. Epub 2017 Sep 21.
5
Integrative analysis associates monocytes with insufficient erythropoiesis during acute Plasmodium cynomolgi malaria in rhesus macaques.整合分析将单核细胞与恒河猴急性疟原虫感染期间的红细胞生成不足相关联。
Malar J. 2017 Sep 22;16(1):384. doi: 10.1186/s12936-017-2029-z.
6
Gene Expression Analysis Reveals Genes Common to Cerebral Malaria and Neurodegenerative Disorders.基因表达分析揭示了脑疟疾和神经退行性疾病共有的基因。
J Infect Dis. 2017 Sep 15;216(6):771-775. doi: 10.1093/infdis/jix359.
7
Metabolome-wide association study of peripheral parasitemia in Plasmodium vivax malaria.代谢组学全基因组关联研究外周血中恶性疟原虫疟疾。
Int J Med Microbiol. 2017 Dec;307(8):533-541. doi: 10.1016/j.ijmm.2017.09.002. Epub 2017 Sep 6.
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A model of Plasmodium vivax concealment based on Plasmodium cynomolgi infections in Macaca mulatta.基于猕猴感染食蟹猴疟原虫建立的间日疟原虫隐匿模型。
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Proteomics Clin Appl. 2018 Jul;12(4):e1700046. doi: 10.1002/prca.201700046. Epub 2017 Sep 15.