Egg-producing chickens are a key component of the world food supply chain and are an evolving animal model for the study of fertility and ovarian cancer. The chicken has a long history of laboratory use, from in ovo studies of influenza vaccines1 to the study of cancerous tumor growth2, and is a key animal for insight into gonadal development3,4,5. Understanding the role of a hen's reproductive system, in particular, the cyclical nature of ovarian follicular development and the types of cells involved, is an area of great interest and potential application. Multi-omics approaches to interrogate the hen ovary have applications for increasing agricultural yield through productivity analysis and elucidating factors toward human health by way of the hen as a model for reproductive disease.
The avian ovary has very distinct developmental follicular stages composed of (1) small primordial and primary follicles (>1 mm), (2) variably sized pre-recruitment follicles (white to pale yellow, 2-8 mm), and (3) large, yolk-filled preovulatory follicles (yellow) (Figure 1)5,6,7. A sexually mature avian ovary is composed of an outer cortex that houses the ovarian follicles and the inner medulla composed of smooth muscle, nerves, and vasculature8. The entire cycle of follicular development takes place in the cortex. It is not until approximately five months of age, however, that only the left ovary demonstrates a full developmental hierarchy of preovulatory (i.e., yellow) follicles, and the chicken will undergo her first ovulation and oviposition (egg lay). The preovulatory follicles establish a grossly visible hierarchy of approximately 5 to 6 follicles that range from the largest and next to ovulate - F1 follicle - to the lesser developed, smallest follicle- F5 or F6. Preovulatory follicles are easily distinguishable from the smaller pre-recruitment follicles due to their larger size, vast innervation, and deep-yellow yolk.
All follicles contain specialized cell types that support varied roles in signaling, growth, and development of the follicle as it progresses through different stages prior to ovulation - these are the granulosa cells, theca cells, and oocytes (female gametes) (Figure 2A). In particular, the granulosa cell layers create the inner wall of the follicle, and the theca cells form the other wall surrounding the oocyte. As a follicle progresses through the preovulatory hierarchy, the theca and granulosa cell layers begin to thin out, particularly along a point directly across from the stalk of the preovulatory follicle. The stalk is the follicle's point of attachment to the ovary (Figure 2B). This line of the granulosa and theca layers opposite the stalk is called the stigma (Figure 2C). It entirely lacks vasculature and will be the point of follicular rupture during ovulation of an F1 follicle. Also visible is the germinal disc, or the fluffy white layer of support cells that surround the oocyte (Figure 2B).
Both granulosa and theca cells are key components of follicle development as they surround and support the oocyte through complex hormonal signaling. The granulosa cell layer supports steroidogenic pathways via cyclic AMP (cAMP) signaling to bring about progesterone production9,10,11. Theca cells, on the other hand, temporally produce estradiol, which is largely different than in mammals whose theca cells produce androgen and progesterone12,13,14. Taken together with external signaling, the granulosa and theca cells are crucial drivers in follicle maturation and oviposition. The technique of separating the granulosa and theca layers was originally reported by Gilbert et al. in 197715. Achieving a comprehensive separation of the granulosa and theca layers and ensuring no granulosa material remains behind can present difficulties with the Gilbert method. Furthermore, the absence of a clear visual guide for completing the separation can render the task challenging to conduct. This study aims to describe the extraction and separation of granulosa, theca, and oocyte layers from the preovulatory follicles, offering adaptations and delivering a clear visual representation through the use of both images and videos (Figure 3). Visualizing this technique will allow scientists studying avian ovarian follicles to reproducibly capture granulosa and theca layers for both agricultural and biomedical multi-omics approaches.