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. 2020 May 1;11:168. doi: 10.1186/s13287-020-01680-0

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© The Author(s) 2020

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 9 — Mass spectrometry, functional enrichment, and network analysis of conditioned medium derived from non-preconditioned AD-MSCs and from DFX-preconditioned AD-MSCs. a Heatmap representation comparing the LFQ intensity (log10) of all 569 proteins recovered from conditioned medium derived from non-preconditioned AD-MSCs and from DFX-preconditioned AD-MSCs. b Volcano plot showing differentially expressed proteins between conditioned media derived from both conditions. The (f) associated to VEGF-α protein indicates a 111 amino acids (H0YBI8, UniProt) fragment different to the full length VEGF-α. c Histogram representing the set of 17 significantly overexpressed proteins in the conditioned medium derived from DFX-preconditioned AD-MSCs compared to the conditioned medium derived from non-preconditioned AD-MSCs. d Functional enrichment analysis (p value < 0.05) of the differentially expressed proteins according to Reactome, Gene Ontology (Molecular Function and Biological Process), KEGG, and Wiki Pathways databases. Enriched functional categories were selected based on their association with the angiogenesis process. e Network analysis of the selected overexpressed proteins according to different interaction categories and protein functions based on Genemania web server. The proteomic analysis was carried out using 4 different biological samples per condition