An optimized model for hCG stimulation of human mural granulosa cell culture.


Journal

Reproductive biology
ISSN: 2300-732X
Titre abrégé: Reprod Biol
Pays: Poland
ID NLM: 101160559

Informations de publication

Date de publication:
Mar 2019
Historique:
received: 21 08 2018
revised: 01 01 2019
accepted: 10 01 2019
pubmed: 22 1 2019
medline: 5 9 2019
entrez: 22 1 2019
Statut: ppublish

Résumé

Ovarian follicular development and ovulation in mammals is a highly-regulated process. Most of the current knowledge of ovarian processes was obtained from the studies of non-human models. Molecular studies on human ovarian processes suffer from lack of material and appropriate research tools. Mural granulosa cells (MGCs) culture is a major tool for studying the effect of different substances but a major problem for using these primary MGCs is their unresponsiveness to hCG stimulation at the time of oocyte retrieval. It is acceptable that MGCs regain responsiveness during days in culture but when the best time is and how to accelerate the regenerative process are unknown. The aim of the current study was to establish an optimized protocol which will provide a practical and efficient tool to examine the effect of LH/hCG on different downstream targets in luteinized MGCs. hCG effects were examined according to days in culture and hCG stimulation time. As read-out, we analyzed the gene expression of known hCG targets, protein production, and progesterone secretion. Our results show that with a daily medium exchange, the strongest effect was achieved already 4 days after seeding. On day 4, hCG stimulation triggers two major patterns of gene expression. Early induced genes were highly expressed 6-8 h after hCG, while 24 h of hCG stimulation was needed for late induced genes. Based on our results, we suggest daily medium exchange for 4 days before adding hCG and examine its effect 6 and 24 h later.

Identifiants

pubmed: 30661769
pii: S1642-431X(18)30290-0
doi: 10.1016/j.repbio.2019.01.002
pii:
doi:

Substances chimiques

Chorionic Gonadotropin 0
Progesterone 4G7DS2Q64Y

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

67-74

Informations de copyright

Copyright © 2019 Society for Biology of Reproduction & the Institute of Animal Reproduction and Food Research of Polish Academy of Sciences in Olsztyn. Published by Elsevier B.V. All rights reserved.

Auteurs

Libby Ophir (L)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Yuval Yung (Y)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel. Electronic address: yuval.yung@sheba.gov.il.

Gil Mordechai Yerushalmi (GM)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Micha Baum (M)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ronit Machtinger (R)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ettie Maman (E)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

Ariel Hourvitz (A)

IVF Unit and Reproduction Laboratory, Department of Obstetrics and Gynecology, Chaim Sheba Medical Center, Tel Hashomer, affiliated with the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

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Classifications MeSH