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. 2023 Jan 6;13:1069207. doi: 10.3389/fimmu.2022.1069207

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Copyright © 2023 Longo, Aloi, Lo Presti, Fiannaca, Longo, Adamo, Urso, Meraviglia, Bongiovanni, Cibella and Colombo

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Bioinformatic workflow for pathway enrichment analysis workflow. Starting from the scatterplot showing the analyzed miRNA expressions (A), the set of dysregulated miRNAs (blue and red points) was considered (B) to get all the validated miRNA-target pairs from the miRTarBase database (C). At this point, the network containing all the miRNA-target interactions was defined (D). Then, the most targeted genes (green circles), i.e., genes targeted by at least a significant number of miRNAs (genes with a higher degree in the network) (E), were selected for the pathway enrichment analysis according to the Reactome repository (F). Finally, the most statistically significant pathways were identified (G) and clustered according to hierarchical relationships defined in the Reactome database. The representative pathways of each cluster (here bounded by colored curves) are given as a result (H).