Evidence map›Paper›PMID 35645370›Full record

ReviewProteomes2022

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

Enxhi Shaba, Lorenza Vantaggiato, Laura Governini, Alesandro Haxhiu, Guido Sebastiani, Daniela Fignani, Giuseppina Emanuela Grieco, Laura Bergantini, Luca Bini, Claudia Landi

Open access · goldAbstract readReview
In one paragraph

Review in Proteomes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed
4.9field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 61 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

Enxhi ShabaFunctional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9561-2426
Lorenza VantaggiatoFunctional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.
Laura GoverniniDepartment of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-5610-9548
Alesandro HaxhiuDepartment of Molecular and Developmental Medicine, University of Siena, 53100 Siena, Italy.
Guido SebastianiDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Daniela FignaniDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.
Giuseppina Emanuela GriecoDiabetes Unit, Department of Medicine, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-7325-6128
Laura BergantiniRespiratory Diseases and Lung Transplant Unit, Department of Medical Sciences, Surgery and Neurosciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-1118-3223
Luca BiniFunctional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0001-8951-2106
Claudia LandiFunctional Proteomics Lab, Department of Life Sciences, University of Siena, 53100 Siena, Italy.ORCID 0000-0003-0410-8038
University of Siena · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

EVs originlipidomicsmetabolomicsmulti-omicsproteomicssurfaceomicssystem biologytranscriptomics

Identifiers

PMID35645370
PMCPMC9149947
OpenAlexW4224311399

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.