Figure 4.

Putative strategy for EV multi-omics data integration. Multi-omics profiles can be observed from a qualitative perspective, accounting for biomolecules preferentially present or absent in certain pathophysiological states, or from a quantitative perspective, accounting for biomolecule abundancies (color gradient) and functional enrichments. Integration of multi-omics data can be achieved using correlation-based methods, a strategy endorsed for a 2 by 2 analysis of omics profiles across samples (A), or network-based methods, where the diversity of omics layers can be observed in graph-like structures where biomolecules are nodes and the relationships between them are weighted edges (B). The goal of this last approach is to identify functional modules which are activated during EV-mediated cell-to-cell communication. Figure created with BioRender.com.