Fig. 3: Superovulation dysregulates ligand-receptor expression and transcription factor activity in cumulus-oocyte complexes. | Nature Communications

Fig. 3: Superovulation dysregulates ligand-receptor expression and transcription factor activity in cumulus-oocyte complexes.

From: Granulosa cell transcription is similarly impacted by superovulation and aging and predicts early embryonic trajectories

Fig. 3: Superovulation dysregulates ligand-receptor expression and transcription factor activity in cumulus-oocyte complexes.

a Cell-cell communication scores between oocyte (OC) and granulosa cells (GC) calculated as a product of ligand (L) and receptor (R) gene expressions (“Methods”). Interaction scores are shown for ligand-receptor pairs (rows, z-scaled) in young natural and superovulated cells (columns, n = 13 NY, black, 27 SY, gray, OC-GC pairs) that displayed significant change between the three clusters N (black), SN (dark green), and S (light green) (Kruskal-Wallis test, adjusted p < 0.05). Column clustering dendrogram shown was obtained from the full list of ligand-receptor pairs shown in Supplementary Fig. 2a. All non-annotated ligand-receptor pairs are related to extracellular matrix. b PCA computed on OC-GC interaction scores. c Transcription factors associated with the pathways shown to be enriched in superovulated GCs in Fig. 2b. Significant association with pathway categories (DNA damage, hormonal response, signaling, or cell cycle) is indicated as a filled square (one-tailed hypergeometric test, adjusted p < 0.05). d Activity scores of transcription factors whose activity scores were significantly different between naturally and superovulated young GCs are shown (two-tailed permutation test, adjusted p < 0.05, “Methods”, n = 13 NY, 27 SY GCs). e Activity scores of selected pathways enriched in superovulated GCs from Fig. 2b split by consensus clusters N, SN, and S (n = 10 N, 12 SN, 12 S). Activity scores for other pathways from Fig. 2b are shown in Supplementary Fig. 2d. Center line—median, box limits—first and third quartiles, whiskers—maximum and minimum or 1.5 times interquartile range if outliers, dots—outliers. Source data are provided as a Source Data file.

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