Gonadotropins are the key regulators of ovarian follicles development. They are applied in therapeutic practice in assisted reproductive technology clinics. In the present review we discuss the basic gonadotropic hormones - recombinant human follicle-stimulating hormone, its derivatives, luteinizing hormone and gonadotropin serum of pregnant mares, their origin, and application in ovarian follicle systems in in vitro culture systems.

In the present review, the main strategies of female fertility preservation are covered. Procedures of fertility preservation are necessary for women who suffer from diseases whose treatment requires the use of aggressive therapies, such as chemotherapy and radiotherapy. These kinds of therapy negatively influence the health of gametes and their progenitors. The most commonly used method of female fertility preservation is ovarian tissue cryopreservation, followed by the retransplantation of thawed tissue. Another approach to female fertility preservation that has been actively developed lately is the ovarian tissue in vitro culture. The principal methods, advantages and drawbacks of these two strategies are discussed in this article.

This review describes the main factors affecting the in vitro development of mouse ovarian follicles under conditions of three-dimensional alginate hydrogel system. The factors discussed include concentration of alginate hydrogel, presence of additives (collagen, fibrin) influencing substrate rigidity; culture conditions; composition of culture media; substances that act like antioxidants (salts of ascorbic acid, glutathione) and contribute to the improvement of lipid metabolism (L-carnitine), hormones and growth factors. The methods for follicle group cultivation in alginate hydrogel and cocultivation of different cell populations with follicles encapsulated in alginate hydrogel are covered in the present article.

Selection of suitable reference genes is the first aim of any research dedicated to the investigation of gene expression, because the interpretation of obtained results largely depends on selection of appropriate reference genes. Nowadays, there are many mathematical approaches allowing to select not only single reference gene but also a group of the most stably expressed reference genes. The use of mathematical models which take into account multiple reference genes will allow to obtain more accurate data on the expression of target genes.