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. 2022 Aug 4;25(8):104819. doi: 10.1016/j.isci.2022.104819

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© 2022 The Author(s)

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

PMC Copyright notice

Transcriptomic profiling reveals heterogeneity in aged oocytes

UMAP clustering of spots selected for expression of Gdf9 and Zp3, colored by identified cell clusters (A) and age group (B).

(C) Heatmap shows the top 10 genes per cluster; yellow represents upregulated genes within a cluster, relative to all other clusters, purple represents downregulated.

(D) Clusters determined to be representative of oocytes versus non-oocyte clusters were eliminated from analysis based on irregular gene expression.

(E-G) Identification of oocyte sub-cluster populations. (E) UMAP clustering of oocyte spots based on gene expression. (F) UMAP clustering of oocyte spots based on age group. (G) Differences of cluster abundance plotted as log10 odds ratio against adjusted p value –log10 FDR. Cluster 0 is significantly more abundant in aged ovaries, while Clusters 1, 2, and 3 are significantly more abundant in young.