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Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary
To support survival and growth of follicles, the transplantable artificial ovary should mimic the original organ, offering a physical (3D matrix) and biological support (cells). In order to replicate the ovarian cell populations, the aim of this study is to assess the proportions of stromal and endo...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Colégio Brasileiro de Reprodução Animal
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720928/ https://www.ncbi.nlm.nih.gov/pubmed/33299477 http://dx.doi.org/10.21451/1984-3143-AR2018-00140 |
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author | Shahri, Parinaz Asiabi Kohneh Chiti, Maria Costanza Amorim, Christiani A. |
author_facet | Shahri, Parinaz Asiabi Kohneh Chiti, Maria Costanza Amorim, Christiani A. |
author_sort | Shahri, Parinaz Asiabi Kohneh |
collection | PubMed |
description | To support survival and growth of follicles, the transplantable artificial ovary should mimic the original organ, offering a physical (3D matrix) and biological support (cells). In order to replicate the ovarian cell populations, the aim of this study is to assess the proportions of stromal and endothelial cells in the ovarian cortex. To this end, ovarian biopsies were obtained from six women (mean age: 49 years). The epithelial layer and medulla were carefully removed. The cortex was finely minced and enzymatically digested and the isolated cells were fixed. For cell characterization, immunostaining for CD31 (for endothelial cells) and inhibin-α (for granulosa cells) was performed. Positive cells in each staining were counted and the proportion of the different cell populations was estimated from the total number of isolated cells. Since there is no specific marker for ovarian stromal cells, we estimated the proportion of these cells by performing a vimentin immunostaining and subtracting the proportions of CD31- and inhibin-α-positive cells. Immunostaining showed that 84% of isolated cells were vimentin-positive. From this pool, 3% were endothelial cells and 1% granulosa cells. Consequently, the population of ovarian stromal cells was 80%. In conclusion, our findings show that stromal cells represent the larger population of cells in the human ovarian cortex. While this ensures follicle survival and development in a normal ovary, we believe that the low proportion of endothelial cells could have a negative impact on the angiogenesis in the artificial ovary after the first days of transplantation. |
format | Online Article Text |
id | pubmed-7720928 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Colégio Brasileiro de Reprodução Animal |
record_format | MEDLINE/PubMed |
spelling | pubmed-77209282020-12-08 Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary Shahri, Parinaz Asiabi Kohneh Chiti, Maria Costanza Amorim, Christiani A. Anim Reprod Conference Papers To support survival and growth of follicles, the transplantable artificial ovary should mimic the original organ, offering a physical (3D matrix) and biological support (cells). In order to replicate the ovarian cell populations, the aim of this study is to assess the proportions of stromal and endothelial cells in the ovarian cortex. To this end, ovarian biopsies were obtained from six women (mean age: 49 years). The epithelial layer and medulla were carefully removed. The cortex was finely minced and enzymatically digested and the isolated cells were fixed. For cell characterization, immunostaining for CD31 (for endothelial cells) and inhibin-α (for granulosa cells) was performed. Positive cells in each staining were counted and the proportion of the different cell populations was estimated from the total number of isolated cells. Since there is no specific marker for ovarian stromal cells, we estimated the proportion of these cells by performing a vimentin immunostaining and subtracting the proportions of CD31- and inhibin-α-positive cells. Immunostaining showed that 84% of isolated cells were vimentin-positive. From this pool, 3% were endothelial cells and 1% granulosa cells. Consequently, the population of ovarian stromal cells was 80%. In conclusion, our findings show that stromal cells represent the larger population of cells in the human ovarian cortex. While this ensures follicle survival and development in a normal ovary, we believe that the low proportion of endothelial cells could have a negative impact on the angiogenesis in the artificial ovary after the first days of transplantation. Colégio Brasileiro de Reprodução Animal 2020-05-22 /pmc/articles/PMC7720928/ /pubmed/33299477 http://dx.doi.org/10.21451/1984-3143-AR2018-00140 Text en Copyright © The Author(s). Published by CBRA. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License |
spellingShingle | Conference Papers Shahri, Parinaz Asiabi Kohneh Chiti, Maria Costanza Amorim, Christiani A. Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title | Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title_full | Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title_fullStr | Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title_full_unstemmed | Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title_short | Isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
title_sort | isolation and characterization of the human ovarian cell population for transplantation into an artificial ovary |
topic | Conference Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720928/ https://www.ncbi.nlm.nih.gov/pubmed/33299477 http://dx.doi.org/10.21451/1984-3143-AR2018-00140 |
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