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Identifying ovarian cortex cell subpopulations using multicolor flow cytometry.
Sophie Frontczak1,2,3, Tristan Zver4,5, Jean-Baptiste Pretalli6
1Université Marie et Louis Pasteur, CHU Besançon, Besançon, F-25000, France. s1franck@chu-besancon.fr.
Multicolor flow cytometry (MFC) effectively characterizes ovarian tissue cell populations. This technique helps identify non-follicular cells that may improve ovarian function recovery after transplantation.
Area of Science:
- Reproductive Biology
- Cell Biology
- Tissue Engineering
Background:
- Ovarian tissue autotransplantation is the sole method for utilizing cryopreserved ovarian tissue.
- Graft quality, including follicle count and stromal environment, impacts revascularization and follicular development.
- Limitations in graft quality hinder successful ovarian tissue transplantation.
Purpose of the Study:
- To validate a technique for characterizing ovarian tissue.
- To functionally qualify ovarian tissue for identifying key cell sub-populations.
- To assess the potential of non-follicular cells in ovarian reconstruction.
Main Methods:
- Ovarian cortex strips were obtained from women with polycystic ovary syndrome.
- Fresh and cryopreserved ovarian tissues were dissociated.
- Multicolor flow cytometry (MFC) analyzed cell yield, viability, and identified specific cell populations using antibodies.
Main Results:
- Dissociation of fresh ovarian tissue yielded significantly more viable cells than frozen/thawed tissue.
- Frozen/thawed ovarian tissue showed significantly higher viability post-dissociation compared to fresh tissue.
- MFC identified distinct cell populations, including endothelial cells/progenitors, mesenchymal cells, and pericytes.
Conclusions:
- MFC is an effective method for characterizing ovarian tissue cell populations.
- Non-follicular cells may serve as prognostic factors for ovarian function recovery post-autotransplantation.
- Identified cell populations could contribute to ovarian reconstruction programs.
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