Multi-Omics Integrative Approach of Extracellular Vesicles: A Future Challenging Milestone

IF 4 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY Proteomes Pub Date : 2022-04-22 DOI:10.3390/proteomes10020012
E. Shaba, L. Vantaggiato, L. Governini, A. Haxhiu, G. Sebastiani, Daniela Fignani, G. Grieco, L. Bergantini, L. Bini, C. Landi
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引用次数: 9

Abstract

In the era of multi-omic sciences, dogma on singular cause-effect in physio-pathological processes is overcome and system biology approaches have been providing new perspectives to see through. In this context, extracellular vesicles (EVs) are offering a new level of complexity, given their role in cellular communication and their activity as mediators of specific signals to target cells or tissues. Indeed, their heterogeneity in terms of content, function, origin and potentiality contribute to the cross-interaction of almost every molecular process occurring in a complex system. Such features make EVs proper biological systems being, therefore, optimal targets of omic sciences. Currently, most studies focus on dissecting EVs content in order to either characterize it or to explore its role in various pathogenic processes at transcriptomic, proteomic, metabolomic, lipidomic and genomic levels. Despite valuable results being provided by individual omic studies, the categorization of EVs biological data might represent a limit to be overcome. For this reason, a multi-omic integrative approach might contribute to explore EVs function, their tissue-specific origin and their potentiality. This review summarizes the state-of-the-art of EVs omic studies, addressing recent research on the integration of EVs multi-level biological data and challenging developments in EVs origin.
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细胞外囊泡的多组学综合方法:未来具有挑战性的里程碑
在多组科学时代,生理-病理过程的单一因果教条被打破,系统生物学方法提供了新的视角。在这种情况下,细胞外囊泡(EVs)提供了一个新的复杂性水平,考虑到它们在细胞通信中的作用以及它们作为特定信号介质到靶细胞或组织的活性。事实上,它们在内容、功能、起源和潜力方面的异质性有助于在复杂系统中发生的几乎所有分子过程的交叉相互作用。这些特点使电动汽车成为合适的生物系统,因此是基因组科学的最佳目标。目前,大多数研究都集中在解剖EVs的含量,以便在转录组学、蛋白质组学、代谢组学、脂质组学和基因组水平上对其进行表征或探索其在各种致病过程中的作用。尽管个体组学研究提供了有价值的结果,但电动汽车生物学数据的分类可能代表着一个有待克服的限制。因此,多组学整合方法可能有助于探索电动汽车的功能、组织特异性起源和潜力。本文综述了电动汽车基因组学研究的最新进展,阐述了电动汽车多层次生物学数据整合的最新研究以及电动汽车起源研究的新进展。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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