162
Views
16
CrossRef citations to date
0
Altmetric
Articles

Dose optimisation of PTEN inhibitor, bpV (HOpic), and SCF for the in-vitro activation of sheep primordial follicles

, &
Pages 178-189 | Received 02 Dec 2018, Accepted 02 Oct 2019, Published online: 24 Oct 2019
 

Abstract

The in-vitro development of primordial follicles is critical for improving mammalian fertility and wildlife conservation. This study aimed to optimise the effective doses of bpV (HOpic) and stem cell factor (SCF) for the in-vitro activation of sheep primordial follicles. To do this, sheep ovarian cortex was treated with bpV (1.5, 15, and 150 μM) and SCF (50 and 100 ng/ml). Follicular count indicated that 15 μM bpV and 100 ng/ml SCF significantly increased normal primary follicles compared to other groups (p < 0.05). Also, a significant downregulation of P53 and PTEN, as well as the increased expression of PI3K was observed. The in-vitro maturation was more pronounced when the fragmented tissues were co-treated with selected doses of bpV and SCF. In conclusion, the combination of 15 μM bpV and 100 ng/ml SCF was the most effective treatment strategy for the activation and survival of primordial follicles in sheep ovarian fragments.

Acknowledgments

We are thankful to the technical assistance of Dr. P. Jamalzaei during this research.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by a research grant provided by the Royan Institute, Iran.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,233.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.