A single-cell atlas of the cycling murine ovary

  1. Mary E Morris  Is a corresponding author
  2. Marie-Charlotte Meinsohn
  3. Maeva Chauvin
  4. Hatice D Saatcioglu
  5. Aki Kashiwagi
  6. Natalie A Sicher
  7. Ngoc Nguyen
  8. Selena Yuan
  9. Rhian Stavely
  10. Minsuk Hyun
  11. Patricia K Donahoe
  12. Bernardo L Sabatini
  13. David Pépin  Is a corresponding author
  1. Department of Gynecology and Reproductive Biology, Massachusetts General Hospital, United States
  2. Pediatric Surgical Research Laboratories, Massachusetts General Hospital, United States
  3. Department of Surgery, Harvard Medical School, United States
  4. Howard Hughes Medical Institute, Department of Neurobiology, Harvard Medical School, United States
8 figures, 1 table and 8 additional files

Figures

Figure 1 with 1 supplement
Single-cell RNA sequencing of cycling mouse ovaries.

(A) Schematic of the single-cell sequencing pipeline. (B) Uniform manifold approximation and projection (UMAP) plot featuring the different clusters of the ovary and their composition by stage of the estrous cycle, lactating status, or unmonitored. (C) Heatmap of the top 10 markers of each cluster by fold change.

Figure 1—figure supplement 1
Ovarian morphology by reproductive state.

(A) Representative micrograph illustrating the different cell types of the ovary. (B) Representative micrographs of sections of ovaries at each stage of the estrous cycle, post-partum lactating, and post-partum non-lactating reproductive states with typical features annotated.

Figure 2 with 1 supplement
Identification of the different cell types of the mesenchyme cluster.

(A) UMAP plot featuring the different cell subclusters belonging to the mesenchyme cluster. (B) Heatmap of the top five markers of each subcluster by fold change. (C) Validation of the identity of mesenchyme subcluster by UMAP-plots (cluster of interest circled) and RNA in situ hybridization.

Figure 2—figure supplement 1
Characterization of mesenchymal cell clusters.

(A) Co-expression of Acta2 and Mfap5 or Acta2 and Hhip in UMAP plots (enriched subcluster circled). Colocalization of (B) Acta2 and Mfap5 or (C) Acta2 and Hhip in ovarian tissue sections stained by Immunohistochemistry (IHC) and RNA in situ hybridization. (D) Expression of mesenchymal markers by cluster in DotPlot. (E) Expression of steroidogenesic and fibroblast markers in DotPlot that differ between the two interstitial stromal cell clusters. (F) RNA in situ hybridization of different markers representative of the steroidogenic stroma (Cyp11a1 and Ptch1) and the fibroblast-like stroma cell clusters (Kcnk2, Cxcl14, and Col1a1).

Figure 3 with 1 supplement
Identification of the different cell types in the granulosa cluster.

(A) UMAP plot featuring the different cell subclusters belonging to the granulosa cluster (specific subcluster circled in each UMAP). (B) Heatmap of the top five markers of each cluster by fold change. (C) Validation of the identity of granulosa subclusters by UMAP-plots and RNA in situ hybridization.

Figure 3—figure supplement 1
Characterization of active and regressing corpus luteum clusters.

(A) UUMAP plots of different apoptotic markers that colocalize with Ghr in the apoptotic cluster (circled in black). (B) Colocalization of Top2a and Cdkn1a in UMAP plots of corpus luteum clusters (circled in black). (C) RNA in situ hybridization of Top2a and Cdkn1a in ovarian sections. Representative active (Top2a+) and regressing (Cdkn1a+) corpora lutea. (D) Examples of luteinizing mural markers in DotPlot that differ from antral mural. (E) UMAP plot of cellular distribution of post-partum lactating (PPL) cells across the active corpus luteum cluster and post-partum non-lactating (PPNL) cells across the regressing corpus luteum cluster (circled in black). (F) Heatmap of representative markers of active and regressing corpora lutea.

Identification of epithelial subclusters.

(A) UMAP plot of the surface epithelium cluster showing two subclusters: epithelium and mitotic epithelium (circled in black). (B) Heatmap of proliferation markers expressed in the proliferating epithelium cluster. (C) UMAP plot of the cellular composition of the epithelium subclusters by reproductive state (mitotic subcluster circled in the estrous state). (D) Expression of proliferation markers depending on the phase of the estrous cycle.

Figure 5 with 1 supplement
Gene expression in granulosa cells by estrous stage.

(A) UMAP plot featuring estrous cycle stages in the granulosa cell cluster. (B) UMAP plots featuring each of the estrous cycle phases individually (proestrus and estrus enriched subclusters circled in black). (C) Volcano plot of genes differentially expressed between proestrus and estrous stages. (D) DotPlot of differentially expressed markers between proestrus and estrus. (E) Quantitative PCR (qPCR) validation of differentially expressed genes involved in extracellular matrix remodeling and steroidogenesis markers (n=5 per group, mean ± SEM, *p<0.05, **p<0.01, ***p<0.005, and ****p<0.001).

Figure 5—figure supplement 1
Characterization of the granulosa cell transcriptome across the estrous cycle.

(A) Volcano plot of genes differentially expressed between the estrous/metestrous, metestrous/diestrous, and diestrous/proestrous stages. (B) Pathway analysis of differentially expressed genes (DEG) between the different stages of the estrous cycle. The x-axis shows the gene ratio (the percentage of total DEGs in the given gene ontology [GO] terms). ‘Count,’ reflected by the dot size, represents the number of genes enriched in a GO term, and dot color represents the adjusted p values. (C) Quantitative PCR validation of ovarian surface epithelium-expressed markers (n=5 per group, mean ± SEM, *p<0.05, **p<0.01, and ****p<0.001).

Identification and validation of new secreted estrous staging markers.

(A) Expression of granulosa cell transcripts varying by estrous cycle stage. (B) Validation of significantly up- and downregulated transcripts of secreted estrous staging markers by qPCR (n=5 per group, mean ± SEM, *p<0.05, **p<0.01, and ***p<0.005). (C) Localization of estrous staging markers by in situ hybridization (RNAscope) in ovarian sections. (D) Quantification of circulating estrous staging markers proteins in the blood by enzyme-Linked Immunosorbent assay (ELISA) (n=5 per group, mean ± SEM, *p<0.05, and ***p<0.005). (E) Summary of the timing of expression of estrous staging markers in the blood.

Author response image 1
Author response image 2

Tables

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Genetic reagent (Mus musculus)C57BL/6-Tg(UBC-GFP)30Scha/JJackson Laboratorystock #004353
AntibodySmooth muscle alpha action (SMA) (Rabbit polyclonal)Abcam#5694Dilution: 1:300
Commercial assay or kitACTIVIN A commercial ELISARnD systems#DAC00B
Commercial assay or kitNPPC commercial ELISANovus Bio#NBP2-75790
Commercial assay or kitTinagl1 commercial ELISALS-Bio#LS-F49684
Commercial assay or kitPRSS35 commercial ELISAMybiosource#MBS9717242
Commercial assay or kitRNA scope 2.5 HD Duplex detection kitACD bio#322500
Commercial assay or kitRNA scope 2.5 HD red detection kitACD bio#322360
Commercial assay or kitThe target retrieval and protease plus reagentsACD bio#322330
OtherCdkn1a (M. musculus) NM_007669.4ACD bio# 408551RNAscope probe
OtherCxcl14 (M. musculus) NM_019568.2ACD bio#459741RNAscope probe
OtherCyp11a1 (M. musculus) NM_019779.4ACD bio#809181RNAscope probe
OtherCyp17a1 (M. musculus) NM_007809.3ACD bio#522611RNAscope probe
OtherGhr (M. musculus) NM_010284.3ACD bio#464951RNAscope probe
OtherHhip (M. musculus) NM_020259.4ACD bio#448441RNAscope probe
OtherInhba (M. musculus) NM_008380.1ACD bio# 455871RNAscope probe
OtherKcnk2 (M. musculus) NM_001159850.1ACD bio#440421RNAscope probe
OtherKctd14 (M. musculus) NM_001136235.1ACD bio#517811RNAscope probe
OtherMfap5 (M. musculus) NM_015776.2ACD bio#490211RNAscope probe
OtherMro (M. musculus) NM_001305882.1ACD bio#491181RNAscope probe
OtherNeat1 (M. musculus) NR_003513.2ACD bio#440351RNAscope probe
OtherNppc (M. musculus) NM_010933.5ACD bio# 493291RNAscope probe
OtherOnecut2 (M. musculus) NM_194268.2ACD bio#520541RNAscope probe
OtherOxtr (M. musculus) NM_001081147.1ACD bio#412171RNAscope probe
OtherPrss35 (M. musculus) NM_178738.3ACD bio#492611RNAscope probe
OtherRunx1 (M. musculus) NM_001111021.1ACD bio#406671RNAscope probe
OtherTinagl1 (M. musculus) NM_001168333ACD bio#312621RNAscope probe
OtherTop2a (M. musculus) NM_011623.2ACD bio# 491221RNAscope probe
OtherWt1 (M. musculus) NM_144783.2ACD bio#432711RNAscope probe
Software and algorithmR version 4.1.3R Project for Statistical Computinghttps://scicrunch.org/resolver/SCR_001905
Software and algorithmSeurat package 4.1.0R toolkit for single-cell genomicshttps://satijalab.org/seurat/articles/install.html
Software and algorithmBZ-X800 analysis softwareKeyencehttps://www.keyence.com/landing/microscope/lp_fluorescence.jsp
Software and algorithmGraphPad Prism, version 9.2.0Graphpad

Additional files

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Mary E Morris
  2. Marie-Charlotte Meinsohn
  3. Maeva Chauvin
  4. Hatice D Saatcioglu
  5. Aki Kashiwagi
  6. Natalie A Sicher
  7. Ngoc Nguyen
  8. Selena Yuan
  9. Rhian Stavely
  10. Minsuk Hyun
  11. Patricia K Donahoe
  12. Bernardo L Sabatini
  13. David Pépin
(2022)
A single-cell atlas of the cycling murine ovary
eLife 11:e77239.
https://doi.org/10.7554/eLife.77239