Cumulus cells (CCs) are differ significantly from granulosa cells (GCs), resting on the basal lamina of ovarian follicle. CCs are in close physical contact with the oocyte, forming a cumulus-oocyte complex (COC). The oocyte controls the differentiation and expansion of CCs, which in turn are involved in the metabolism of pyruvate and glucose consumed during energy production in the oocyte [1,2]. Due to this proximity, CCs are influenced by regulatory factors produced by the oocyte. These regulatory factors include primarily: growth differentiation factor 9 (GDF9), bone morphogenetic protein 15 (BMP15) and fibroblast growth factor 8 (FGF8). They are primarily responsible for suppressing expression of the LH receptor and genes responsible for steroid production. Unlike the GCs, which “remain” in the ruptured follicle, CCs are “ejected” from the ruptured follicle during ovulation [3]. CCs also produce many inflammatory factors and cytokines that are released during ovulation. Cumulus cell-oocyte complex (COC) released from the ovary is therefore a kind of a microenvironment [4, 5, 6]. Increased concentration of gonadotropins in the female body causes increased production of hyaluronic acid by CCs, which expands the spaces between these cells. Correct ovulation requires the production of prostaglandins. GDF9 (a member of the TGF-beta superfamily) plays a major role in the induction of Ptgs2 expression in CCs through increased luteinizing hormone (LH) concentration. Lack of GDF9 blocks the development and growth of follicles, thus leading to infertility [7].
In most mammal species, including humans, CCs cells surround the oocyte at conception. It is believed that CCs interact with the oocyte and sperm, and thus are involved in promoting the fertilization process and oocyte developmental competence [8,9]. It has been proven many years ago that CCs are involved in maintaining myocyte retention in the oocyte. Oocytes removed from the follicle, lacking CCs, resume meiotic division, which should be completed only after fertilization [10]. In addition, CCs facilitate the capture of COC by ciliated oviduct cells [11]. Glycodelin-C, a derivative of glycodelin, is isolated from the matrix of CCs cells. This substance stimulates the binding of spermatozoa to the zona pellucida of oocyte [9]. It has also been reported that the rate of CCs associated with morphologically abnormal oocytes or immature oocytes is much higher than in CCs surrounding morphologically normal, mature oocytes. The increase in CC apoptosis has a negative impact on a number of processes related to the correct fertilization and development of blastocyst and reduces the effectiveness of
The expression of genes associated with the proper function of CCs results from a number of factors produced by the oocyte, but also the environment of the mature ovarian follicle, and all processes occurring during follicle growth in the ovarian microenvironment [14].
CCs also produce antioxidant compounds that reduce the level of oxidative stress caused by reactive oxygen species (ROS). These compounds, mainly superoxide dismutase (SOD) [15] and Glutathione transferase S theta 1 (GSTT1) protect the oocyte against oxidative stress [16,17].
Knowledge about the expression of individual genes, as well as the presence of individual components of the intracellular metabolic pathways, or the CCs apoptosis index can become a source of valuable molecular markers determining the developmental competence of oocytes. It is known that the expression of amphiregulin (AREG) and epiregulin (EREG) (epidermal growth factor (EGF) -like factors) depends on the dose of LH administered during ovarian stimulation. Therefore, it is suggested that AREG and EREG are part of the signal transduction pathway, which leads to the release of the oocyte from the mature ovarian follicle and the luteinization process in women [18]. Recent studies described of new properties of CCs. CCs produce a large amount of hyaluronan, which targets CD44 (marker of cancer cells). Culture of pancreatic cancer cells in a medium conditioned with CCs activated pro-apoptotic genes in these cancer cells [19]. The mechanisms of communication between the oocyte and CCs cells through gap connections are well known. It is known, however, that this communication also takes place by means of paracrine signaling. Less known methods of communication are the transfer of non-coding RNAs through exosomes from the cumulus to the oocyte [20]. Coenzyme Q10 (CoQ) is another factor that has a significant impact on the quality of oocyte and CCs cells. This relationship is important for the proper functioning of mitochondria, not only in the oocyte but also in CCs cells. A decrease in mitochondrial activity is associated with aging of oocytes. Therefore, reduced CoQ production in older women translates into reduced fertility and a higher risk of birth defects for embryos [21].
Understanding the molecular mechanisms and regulation of gene expression in CCs may reflect processes in the oocyte. Changes occurring at the molecular level may be a signpost for identifying oocyte quality, oocyte acquisition of developmental competences, and quality of obtained blastocyst. The main purpose of the research was to identify the potential molecular markers responsible for cell junction organization, migration, differentiation, morphogenesis and motility.
CCs were obtained from patients undergoing IVF. The study used CCs from 12 patients aged 1840 diagnosed with infertility. The factors excluding patients from these studies were: polycystic ovary syndrome (PCOS), AMH less than 0.7 ng/ml, antral follicle count less than 9, day 2‑3 FSH serum level higher than 15 mU/ml and endometriosis. All
The IVF procedure was based on adapted and controlled ovarian hyperstimulation protocol. FSH (Gonal‑F, Merck Serono) and highly purified hMG‑HP (Menopur, Ferring) were used for ovarian stimulation. Additionally, to stop pituitary functions, Cetrorelix Acetate (Cetrotide, Merck Serono) injections at the right dose were performed. Ovulation was induced by injection of 6500 U hCG (Ovitrelle, Merck-Serono).
After oocyte pick-up (OPU), oocyte-cumulus complexes (COCs) have been selected by an embryologist for further IVF procedure. In the next step of IVF routine, the obtained COCs were denuded. Corona radiata cells and cumulus oophorus somatic cells forming COCs have been removed during denudation process (800 IU/mL of HYASE-10X). CCs obtained in this way from multiple follicles of one patient were pooled and transferred to cell culture laboratory for further analysis.
CCs were collected after denudation of oocytes. Afterwards, they were washed twice with basal culture medium and centrifuged at RT (200 x g for 10 min). Basal culture medium consisted of DMEM (Dulbecco’s Modified Eagle’s Medium, Sigma; Merck KGaA, Darmstadt, Germany) supplemented with 10 mg/ml gentamicin (Invitrogen; Thermo Fisher Scientific, Inc.), 2% fetal bovine serum FBS (FBS; Sigma; Merck KGaA), 4 mM L‑glutamine (stock 200 mM, Invitrogen; Thermo Fisher Scientific, Inc., Waltham, MA, USA), 10,000 U/ml penicillin and 10,000 μg/ml streptomycin (Invitrogen; Thermo Fisher Scientific, Inc.) [22].
CCs were cultured at 37°C in 5% CO2 and humid atmosphere. After attaining 90% confluence, the cells in the culture were detached from the bottom of the 6-well plate by 1-2 min incubation with 0.05% trypsin-EDTA (Invitrogen; Thermo Fisher Scientific, Inc.). Later, the cells were counted using the ADAM Cell Counter and Viability Analyzer (Bulldog Bio). CCs were cultured fir 30 days. Medium was changed every 72-75 hours of culture. Cells for the analysis were harvested on day 1, 7, 15 and 30 of
After harvesting cells on the 1st, 7th, 15th and 30th day of culture, total RNA was isolated. The process of RNA isolation was performed according to modified method of Chomczyński and Sacchi [23]. Briefly, obtained CCs were suspended in 1 ml of monophasic guanidine thiocyanate and phenol solution (TRI Reagent®, Sigma; Merck KGaA). Next, chloroform was added to separate the phases during centrifugation. The upper aqueous phase, containing isolated RNA, was collected. RNA was extracted with 2‑propanol (Sigma; Merck KGaA, catalog number I9516), added in an amount adequate for 1 ml of TRI‑reagent. Finally, RNA was washed with 75% ethanol, dried, resuspended in 20 μl of pure water and measured.
Total RNA (100ng) was converted to double-stranded cDNA. In the next step, labeled complementary RNA (cRNA) was synthesized and amplified by
Statistical significance of the analyzed genes was performed by moderated t-statistics from the empirical Bayes method. Obtained p-value was corrected for multiple comparisons using the Benjamini and Hochberg’s false discovery rate. The selection of significantly changed gene expression was based on p-value beneath 0.05 and expression fold higher than 2. Differentially expressed genes were subjected to the selection of genes involved in cellular morphogenesis, junction and migration. Differentially expressed gene list was uploaded to the DAVID software (Database for Annotation, Visualization and Integrated Discovery), where “cell junction organization”, “cell migration”, “cell morphogenesis involved in differentiation”, “cell morphogenesis” and “cell motility” GO BP terms were obtained. Expression data of these genes were subjected to hierarchical clustering procedure and presented as a heatmap graph. Detailed analysis of genes belonging to selected GO BP terms were presented as plots using “GOplot” library [24].
Moreover, the list of differentially expressed genes from selected GO BP terms was uploaded to the STRING software (Search Tool for Retrieval of Interacting Genes/Proteins) for interaction prediction.
Finally, we used ReactomeFIViz app from the Cytoscape software for creating the Reactome Functional Interaction (FI) network from the set of differentially expressed genes.
This research has been approved by Poznań University of Medical Sciences Bioethical Committee with 1290/18 resolution.
We used Human Genome U219 Array Strip for the microarray gene expression analysis of human cumulus oophorus cells. This method allowed us to study the gene expression of 22,480 transcripts at 1, 7, 15 and 30 days of
The 10 most significantly upregulated and all of the downregulated genes involved cellular morphogenesis, junction and migration
Gene symbol | Gene name | Fold change | Adj.p.val |
---|---|---|---|
DKK1 | dicKKopf WNT signaling pathway inhibitor 1 | 34.81 | <0.05 |
ANXA3 | annexin A3 | 34.27 | <0.05 |
KIAA119S | KIAA1199 | 27.73 | <0.05 |
VCAM1 | vascular cell adhesion molecule 1 | 26.69 | <0.05 |
HTR2B | 5-hydroxytryptamine (serotonin] receptor 2B, G protein-coupled | 24.33 | <0.05 |
CTGF | connective tissue growth factor | 18.97 | <0.05 |
TQFBR2 | transforming growth factor, beta receptor II (70/30l<Da) | 15.71 | <0.05 |
STC1 | stanniocalcin 1 | 14.96 | <0.05 |
CD74 | CD74 molecule, major histocompatibility complex, class II invariant chain | 14.18 | <0.05 |
SEMA5A | sema domain, seven thrornbcsponüin repeats (type 1 arid type Hike), transrnembrane domain [TM) and short cytoplasriic domain, (semaphorin}5A | 13.15 | <0.05 |
SLC7A8 | solute carrier family 7 (amino acid transporter light chain, L system], member 9 | -2.00 | <0.05 |
DFNB31 | deafness, autosomal recessive 31 | -2.01 | <0.05 |
COL1A1 | collagen, type I, alpha 1 | -2.03 | <0.05 |
CDC42SE1 | CDC42 small effector 1 | -2.04 | <0.05 |
TSFBR3 | transforming growth factor, beta receptor III | -2.05 | <0.05 |
HMGB1 | higri mobility group box 1 | -2.05 | <0.05 |
In the next part of analysis, we focused on the z-scores, which tell us whether the molecular function is more likely to be decreased (negative value) or increased (positive value). The z-scores were presented as segments of inner circles in the
In the next section, we checked the interaction between selected ontological groups. One of the most visually appealing way of presenting such interaction is dendrogram (
In the gene ontology database, single genes may belong to many ontological terms. For this reason, we used plots with visualization of logFC values and relationship between genes and selected GO BP terms (
In the next part of analysis, we focused on the interaction between proteins encoded by DEGs belonging to studied GO BP terms. Firstly, we used STRING software for the interaction prediction. The number of genes used to create STRING interaction network was limited to 50 most changed DEGs for readability (
Finally, we used ReactomeFIViz app for investigation of functional interactions between proteins en coded by DEGs belonging to selected GO BP terms. Among the most significantly enriched functional interaction networks were FI networks for “Cell migration” and “Positive regulation of cell migration” (
It is known that CCs are necessary in the process of acquiring developmental competence by the oocyte, including enabling the resumption of meiosis and the transition to the meiosis metaphase II [25]. Thanks to the gap connections, it is possible to transport molecules between CCs cells and the oocyte [26]. Proper oocyte maturation without CCs is practically impossible, and the effectiveness of fertilization of such an oocyte and obtaining a correct blastocyst drastically decreases [27]. Furthermore, metabolomic studies of the spent culture medium obtained show that CCs are secreted into the external environment and allow oocyte maturation [28,29]. Due to the closeness and interaction of CCs and oocyte, they have become an interesting research model in embryology.
In the presented studies, during the transcriptome analysis of CCs cells maintained in long-term primary
The presented research results indicate that the strongest upregulated genes from examined GO BP terms included, among others:
The factor conditioning correct embryo implantation is activation of canonical WNT signaling. The WNT signaling pathway is regulated by steroids [30,31]. WNT activation in the embryo may or may not affect the correct implantation of the embryo, but is responsible for regulating pluripotency [32].
The genes also responsible for the proper development of blastocyst include the
As mentioned in the introduction, hyaluronan (HA), or hyaluronic acid, plays an important role in the reproductive system. It is produced primarily by the oocyte, embryo and other elements of the reproductive system, depending on the species of the mammal (fallopian tube, uterus, cervix) [49,50]. In addition, HA is produced by CCs and GCs cells [51,52]. The
The gene closely related to cell adhesion and extracellular matrix modeling is
Only 6 genes showed a decrease in expression relative to the control. In the presented article we focused on two genes the most downregulated (
In the presented studies, it seems surprising that the expression of
The presented research results allowed to identify groups of genes responsible for processes related to “cell junction organization”, “cell morphogenesis involved in differentiation”, “cell morphogenesis”, “cell motility”, and “cell migration”, as well as to define interactions between individual genes. The results suggest that the most upregulated genes are primarily responsible for processes related to communication with the oocyte as well as the proper development of the embryo and its implantation. The obtained results indicate that in