Research Paper Volume 15, Issue 20 pp 10856—10874

Deciphering reproductive aging in women using a NOD/SCID mouse model for distinct physiological ovarian phenotypes

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Figure 4. Ovarian proteomic profiling of a NOD/SCID mouse model for physiological human aging. (A) Hierarchical clustering based on the mean expression of the 30 significantly differentially expressed proteins (DEPs) between young, advanced maternal age (AMA), and old mice identified by ElasticNET regression analysis. The table beneath the heatmap shows an overview of the DEPs from the AMA and old mice, with respect to the young mice. (B) Significantly enriched Gene Ontology (GO) biological processes, cellular components, and molecular function (FDR <0.05) associated with the DEPs identified in each group. (C) GOChord plot of the top ten biological processes for young, AMA, and old mice, showing the relationship between pathways and the most relevant genes between them.