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

EVs origin lipidomics metabolomics multi-omics proteomics surfaceomics system biology transcriptomics

Journal

Proteomes
ISSN: 2227-7382
Titre abrégé: Proteomes
Pays: Switzerland
ID NLM: 101621966

Informations de publication

Date de publication:
22 Apr 2022
Historique:
received: 28 02 2022
revised: 14 04 2022
accepted: 19 04 2022
entrez: 1 6 2022
pubmed: 2 6 2022
medline: 2 6 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 35645370
pii: proteomes10020012
doi: 10.3390/proteomes10020012
pmc: PMC9149947
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

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Auteurs

Enxhi Shaba (E)

Functional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.

Lorenza Vantaggiato (L)

Functional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.

Laura Governini (L)

Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy.

Alesandro Haxhiu (A)

Department of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy.

Guido Sebastiani (G)

Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Fondazione Umberto Di Mario, c/o Toscana Life Sciences, 53100 Siena, Italy.

Daniela Fignani (D)

Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Fondazione Umberto Di Mario, c/o Toscana Life Sciences, 53100 Siena, Italy.

Giuseppina Emanuela Grieco (GE)

Diabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Fondazione Umberto Di Mario, c/o Toscana Life Sciences, 53100 Siena, Italy.

Laura Bergantini (L)

Respiratory Diseases and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.

Luca Bini (L)

Functional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.

Claudia Landi (C)

Functional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.

Classifications MeSH