- About this Journal
- Abstracting and Indexing
- Aims and Scope
- Annual Issues
- Article Processing Charges
- Articles in Press
- Author Guidelines
- Bibliographic Information
- Citations to this Journal
- Contact Information
- Editorial Board
- Editorial Workflow
- Free eTOC Alerts
- Publication Ethics
- Reviewers Acknowledgment
- Submit a Manuscript
- Subscription Information
- Table of Contents
BioMed Research International
Volume 2013 (2013), Article ID 354582, 13 pages
Comparative Gene Expression Profiling in Human Cumulus Cells according to Ovarian Gonadotropin Treatments
1Université Montpellier 1, UFR de Médecine, Montpellier, France
2CHU Montpellier, Institute for Research in Biotherapy, Hôpital Saint-Eloi, INSERM U1040, 34295 Montpellier, France
3ART-PGD Department, CHU Montpellier, Hôpital Arnaud de Villeneuve, 34295 Montpellier, France
Received 7 June 2013; Accepted 8 August 2013
Academic Editor: Shivani Soni
Copyright © 2013 Said Assou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In in vitro fertilization cycles, both HP-hMG and rFSH gonadotropin treatments are widely used to control human follicle development. The objectives of this study are (i) to characterize and compare gene expression profiles in cumulus cells (CCs) of periovulatory follicles obtained from patients stimulated with HP-hMG or rFSH in a GnRH antagonist cycle and (ii) to examine their relationship with in vitro embryo development, using Human Genome U133 Plus 2.0 microarrays. Genes that were upregulated in HP-hMG-treated CCs are involved in lipid metabolism (GM2A) and cell-to-cell interactions (GJA5). Conversely, genes upregulated in rFSH-treated CCs are implicated in cell assembly and organization (COL1A1 and COL3A1). Interestingly, some genes specific to each gonadotropin treatment (NPY1R and GM2A for HP-hMG; GREM1 and OSBPL6 for rFSH) were associated with day 3 embryo quality and blastocyst grade at day 5, while others (STC2 and PTX3) were related to in vitro embryo quality in both gonadotropin treatments. These genes may prove valuable as biomarkers of in vitro embryo quality.
The gonadotropin-releasing hormone (GnRH) antagonist and agonist protocols with either highly purified human menopausal gonadotropin (HP-hMG) or recombinant FSH (rFSH) preparations are the most widely used protocols for controlled ovarian stimulation (COS) for both intracytoplasmic sperm injection (ICSI) and in vitro fertilization (IVF) [1–3]. At present, most of the mature oocytes retrieved after COS are capable of fertilization; however, only half of them develop into good embryos and only a few implants. There is increasing evidence that cumulus cells (CCs), which are somatic cells that surround the oocyte, play a crucial role in folliculogenesis and oocyte developmental competence acquisition [4, 5]. Several authors propose the use of CC gene expression as a noninvasive approach to predict oocyte aneuploidy, and oocyte competence, as well as embryo and pregnancy outcomes during assisted reproductive technology (ART) procedures [6–17]. Despite the recent molecular advances in the knowledge of human CCs, our understanding is far from complete. We believe that the characterization of the biology of these cells following COS might explain observed changes in in vitro embryo development. Several studies have compared the effects of HP-hMG and rFSH on oocyte and embryo quality, follicular fluid biochemical profile, and pregnancy rate [18–23]. However, their specific effects on the gene expression profile of individual CC samples have not been investigated. To date, only two such studies have been reported. They compared the gene expression profiles of pooled human granulosa cells (GCs) from periovulatory follicles of six patients in one study and eight patients in the other study. In both studies, the patients were treated with HP-hMG or rFSH in a GnRH agonist long protocol. Significant differences have been observed [24, 25]. The aims of the present study were (i) to compare the gene expression profiles of large cohorts of individual CCs isolated from periovulatory follicles of patients stimulated with HP-hMG or rFSH in a GnRH antagonist protocol and (ii) to determine the relationship between in vitro embryo development and expression profiles of CCs isolated from mature oocytes after COS.
2. Materials and Methods
2.1. Study Oversight
This research was approved by our Institutional Review Board. All patients provided their written informed consent for the use of CC samples for research.
2.2. Sample Collection and Treatment Cycle
This study is a retrospective analysis of data from of a subgroup of eleven randomly selected patients, who participated in an open-label, assessor-blind, parallel groups, multicenter trial (ClinicalTrials.gov Identifier: NCT00884221) that was previously described . CCs () were collected from all oocytes retrieved from four patients treated with HP-hMG (Menopur, Ferring Pharmaceuticals) and seven patients treated with rFSH (Follitropin beta, Puregon; MSD) following a GnRH antagonist protocol (Ganirelix Acetate, Orgalutran; MSD), respectively. Stimulation with HP-hMG or rFSH was started at a dose of 150 IU/day (first 5 days of the COS protocol), and the patients’ follicular response during stimulation was monitored by transvaginal ultrasound. The GnRH antagonist (daily dose of 0.25 mg) was initiated at day 6 and continued throughout the stimulation period. Transvaginal ultrasound echo guidance, FSH, LH, and estradiol levels were used to monitor the ovarian response. A single injection of 250 μg human chorionic gonadotropin (hCG) (choriogonadotropin alfa, Ovitrelle; Merck Serono) was administered to induce the final follicular maturation when three or more follicles ≥17 mm in diameter were observed. Cumulus-oocyte-complexes were collected 36 h after hCG administration (day 0). Supplemental Table SI (see Supplementary Materials available online at http://dx.doi.org/10.1155/2013/354582) shows a summary of the patients’ clinical features, end-of-stimulation data, and the number of retrieved oocytes/patients. All CCs were mechanically removed shortly after oocyte retrieval, washed in culture medium, and frozen immediately prior to total RNA extraction. MII oocytes were used for ICSI. All embryos and blastocysts were assessed daily by the embryologists until 5 days after oocyte retrieval. Embryo quality was assessed at 26 ± 2 and 92 ± 2 hours after insemination. On day 5, the quality evaluations of blastocysts consisted of expansion and hatching status, inner cell mass grading (grade A-C), and trophectoderm grading (grade A-C) [26–28]. Each CC sample included only CCs from a single oocyte. The number of CCs isolated from oocytes at GV, MI, and MII stages and the in vitro embryo outcome for the two patients’ groups (HP-hMG or rFSH) are reported in (Figure 1).
2.3. Cumulus Cells RNA Extraction
The RNeasy Micro kit (ref. 74004, Qiagen) was used to extract total RNA from each CCs sample () according to the manufacturers’ recommended protocols. The quantity and purity of the total RNAs were determined by using a NanoDrop ND-1000 spectrophotometer (NanoDrop ND-Thermo Fisher Scientific, Wilmington, DE, USA) and their integrity by using the Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA, http://www.agilent.com/). All RNA samples were stored at −80°C until the microarray experiments.
2.4. Preparation of cRNA and Microarray Hybridization
Total RNA (50 ng) was used to prepare cRNA (one cycle of amplification) using the Affymetrix 3′ IVT express protocol. An oligo-dT primer with a T7 promoter sequence was used to synthesize the first-strand cDNA. After generating the second strand, the complete cDNA was amplified by in vitro transcription (linear amplification) with a T7 RNA polymerase. The amplified RNA (aRNA) was generated and quantified by using a NanoDrop ND-1000 spectrophotometer (NanoDrop ND-Thermo Fisher Scientific, Wilmington, DE, USA), and biotinylated nucleotide analog was incorporated during in vitro transcription step. RNA from the GeneChip Eukaryotic Poly-A RNA Control Kit (Affymetrix, Santa Clara, CA), which contains mRNAs from Bacillus subtilis genes (lys, phe, thr, and dap), was amplified and labeled under the same conditions as positive controls. After fragmentation, the labeled antisense aRNA (15 μg) was hybridized to HG-U133 Plus 2.0 GeneChip pan-genomic oligonucleotide arrays (Affymetrix) containing 54,675 sets of oligonucleotide probes (probeset) which correspond to ≈25,000 unique human genes or predicted genes. Each cumulus cell sample was put individually on a microarray chip. Microarray experiments were performed in DNA microarray platform of our Institute of Research in Biotherapy at the Montpellier University Hospital.
2.5. Data Processing and Gene Expression Profile Analysis
After image processing with the Affymetrix GeneChip Operating 1.4 software (GCOS), the CEL files were analyzed using the Affymetrix Expression Console Software v1.3.1 and normalized with the MAS5.0 algorithm by scaling each array to a target value (TGT) of 100 using the global scaling method to obtain an intensity value signal for each probe set. This algorithm also determines whether a gene is expressed with a defined confidence level or not (“detection call”). This “call” can either be “present” (when the perfect match probes are significantly more hybridized than the mismatch probes, ), “marginal” (for values of >0.04 and <0.06) or “absent” (). Gene annotation was performed using NetAffx (http://www.affymetrix.com/, March 2009). A first selection of microarray data was based on the detection call (present in at least 50% of the CC samples of each group). Then, the Significant Analysis of Microarrays (SAM) (http://www-stat.stanford.edu/~tibs/SAM/) with the Wilcoxon test and sample label permutation () was used to identify genes of which expression varied significantly between the HP-hMG and rFSH CC samples. The lists of significant genes (fold change, FC ≥1.5 and false discovery rate, FDR ≤5%) as well as common genes were analyzed using the Ingenuity Pathway Analysis (IPA) software (http://www.ingenuity.com/) to identify the biological functions that were specific of each CC group and in common between the two treatments, respectively. Only annotations with significant value () were considered. Then, the SAM analysis (FC ≥1.5, FDR ≤5%) was used to link gonadotropin-specific genes in CCs or those that are irrespective of gonadotropin treatment to subsequent embryo outcome at day 3 (top, good embryo versus poor) or day 5 (good blastocyst versus bad). Hierarchical clustering analyses based on the expression levels of the differentially expressed genes were performed by using the Cluster and Treeview software packages . Box-and-whisker plots depicted the comparisons of the expression levels of candidate genes carried out using SPSS 12.0 (SPSS, Chicago, IL, USA) software.
2.6. Microarray Data Validation by Quantitative RT-PCR
Quantitative RT-PCR was performed to validate the expression of selected genes identified as differentially expressed between the two CC groups by using mRNAs from HP-hMG () and rFSH () CC samples as described in . The primer sequences are shown in (Supplementary data, Table SII). Briefly, cDNA was reverse transcribed (RT) following the manufacturer’s instructions using 500 ng of amplified RNA in a 20 μL reaction volume that included Superscript II (ref. 18064-014, Invitrogen), oligo-dT primer, dNTP mixture, MgCl2, and RNase inhibitor. Quantitative PCR was performed using a LightCycler 480 apparatus with the LC480 SYBR Green I Master kit (Roche Diagnostics, Mannheim, Germany) and 2 μL of diluted cDNA (1/25) and 0.6 mMol primers in a total volume of 10 μL. After 10 min of activation at 95°C, cycling conditions were 10 s at 95°C, 30 s at 63°C, and 1 s at 72°C for 45 cycles. Gene expression levels were normalized to the housekeeping gene glyceraldehyde 3-phosphate dehydrogenase (GAPDH), because its expression was stable between all CC groups using the following formula , where ΔΔCt = ΔCt unknown − ΔCt positive control.
2.7. Statistical Analysis
Statistical analyses were performed with SPSS 12.0 software. A repartition difference between sample groups was considered significant when the Kruskal-Wallis nonparametric test and Wilcoxon test gave a value ≤0.05. For q-RT-PCR, a statistical analysis was performed with the GraphPad InStat software (Mann-Whitney test; GraphPad, San Diego, CA). A value of was considered to be statistically significant.
3.1. Identification of Differentially Expressed Genes in Human CCs following Stimulation with HP-hMG or rFSH
A first selection is based on the detection call between all the CC samples from patients stimulated with HP-hMG or rFSH delineated 9,899 genes. Then, using SAM, 94 genes that significantly differentiated between HP-hMG and rFSH CCs were identified. Among them, 45 and 49 genes were upregulated in HP-hMG and rFSH CC samples, respectively (fold-change, FDR, and annotation are in Tables 1 and 2). The HP-hMG CC list included genes implicated in lipid metabolism such as GM2A (x2.3, FDR = 0), AKR1C1 (x1.5, FDR = 0), AKR1C2 (x1.6, FDR = 0.005), and in cell-to-cell interaction like GJA5 (x1.9, FDR = 0), NTS (x1.8, FDR = 0.005), FOS (x1.6, FDR = 0), and NPY1R (x2.1, FDR = 0), NPY2R (x1.6, FDR = 0). Conversely, the rFSH CC list was significantly enriched in genes important for cellular assembly and organization such as COL3A1 (x2, FDR = 0.015), COL1A1 (x1.5; FDR = 0), MT3 (x1.5; FDR = 0), and CAMK1D (x1.5; FDR = 0). Other genes of the rFSH list are members of the tumour necrosis factor (TNF) family such as TNFAIP6 (x1.7; FDR = 0.01) and TNFAIP8 (x1.6, FDR = 0.005). The clustering based on these 94 genes segregates the majority of the HP-hMG (85%) from the rFSH CC samples (Figure 2). RT-qPCR validated the differential expression of some of these genes (Supplementary data, Figure SI).
3.2. Common Transcriptional Gene Profile in HP-hMG/rFSH CCs
In view of few differences between the two gonadotropin treatments, we examined the list of genes in common to HP-hMG and rFSH groups (list of 9,805 genes; see Supplementary data, Table SIII). We used IPA software to explore the specific functional properties of this common molecular signature. Estrogen receptor signaling (83 genes) ( value = ) was one of the top canonical pathways related to this molecular signature. On the other hand, the top network involving 35 genes was articulated around the “cell death and survival, DNA replication, recombination, and repair” functions. The detailed list of genes involved in this network can be found in (Supplementary data, Table SIV). Interestingly, the most common HP-hMG/rFSH genes were associated with multiple signaling pathways including FGF signaling (FGFR and GRB2), IGF signaling (IGF1R and IGFBP3), EGF signaling (EGFR and MAPK1), and PDGF signaling (PDGFRA and PDGFD). It is important to note that no difference was observed in the mRNA CC level between treatments for receptors (LHCGR and BMPR2), aromatase (CYP19A1), cytochrome P450 (CYP11A1), or steroidogenic genes (StAR, HSD3B2, ACVR1, ACVR1B, INHBC, and INHBB).
3.3. Relationship between the HP-hMG or rFSH CC Expression Profiles and In Vitro Embryo Development
Of the 146 CC samples, 101 were isolated from MII mature oocytes which underwent ICSI. In the HP-hMG group, 77% of injected oocytes were fertilized and 61% achieved blastocyst stage at day 5. In the rFSH group, these values were, respectively, 86% and 52%. Fertilized MII oocytes ( in the HP-hMG and in the rFSH group) were divided into oocytes that developed into (i) top/good quality (52% in the HP-hMG and 70% in the rFSH group, no significant difference ()) or poor quality embryos at day 3; and then into (ii) good (AA and AB) (43% for the HP-hMG and 29% for the rFSH group, no significant difference ()) or bad grade (AC, BC, CC, and CB) blastocysts at day 5 (Figure 1). Then, the transcription profile of the cumulus cell samples isolated from these 101 MII oocytes was evaluated relative to day 3 embryo quality and blastocyst grading at day 5. In the HP-hMG group, NPY1R (x1.58, FDR = 0.0004) and NPY2R (x1.67, FDR = 0.0004) upregulation was observed in CCs isolated from MII oocytes that developed into top/good day 3 embryos, whereas GM2A (x2.10, FDR = 0.0005) and USP45 (x2.32, FDR = 0.0005) were upregulated in cumulus cells from MII oocytes with good blastocyst grading (Figure 3(a)). After rFSH treatment, upregulation of GREM1 (x1.59, FDR = 0) and PSPH (x1.6, FDR = 0) was significantly associated with top/good quality day 3 embryos; OSBPL6 (x1.59, FDR = 0) upregulation was found in CCs from oocytes that developed into good blastocyst at day 5 (Figure 3(b)). In the two gonadotropin groups, PTX3 (x-1.81, FDR = 0) downregulation and STC2 (x1.76, FDR = 0) upregulation were observed in CCs isolated from MII oocytes that developed into top/good day 3 embryos, whereas TRIM65 (x-1.62, FDR = 0) and GSTM2 (x-1.67, FDR = 0) expressions were downregulated in CCs associated with good blastocyst grading (Figure 3(c)).
3.4. CC mRNA Content and In Vitro Blastocyst Outcome at Day 5
Independently of the type of gonadotropin treatment used, the relation between amplified mRNA content of CC samples and in vitro blastocyst development at day 5 was also investigated. Seventeen CC samples, isolated from MII oocytes that developed into top quality 8-cell embryos at day 3, were selected and divided in three groups: (i) CCs from MII oocytes that developed into good quality (grade AA-AB, ), (ii) intermediary (grade BB, ), and (iii) bad (grade CC and others, ) blastocysts. The amount (mean ± SEM) of amplified mRNA from CCs from MII oocytes leading to good quality blastocysts was 1044.28 ± 159.18 ng/μL. This value decreased to 796.66 ± 150 ng/μL in the intermediary group and to 627.50 ± 76.25 ng/μL in the bad blastocyst grade group (Figure 4).
Following global genomic assessment of 146 human CCs transcriptome under HP-hMG and rFSH treatments, the present study revealed a small but significant distinct molecular signature of 94 genes between the two treatments, suggesting that these treatments impact differentially the CC gene expression profile. This may be accounted for by the differences in the origin of the two pharmaceutical preparations. More precisely, overexpression of genes involved in the metabolism of lipids such as GM2A, AKR1C1 and AKR1C2, as well as genes related to the intercellular signaling (GJA5 and FOS) was observed in the CCs treated with HP-hMG, while genes involved in “cellular assembly and organization” (COL1A1, COL3A1, MT3, TNFAIP6, and TNFAIP8) were overexpressed in the rFSH CCs. Each of these functions plays a central role in oocyte maturation and/or oocyte competence [31–33]. Indeed, the metabolism of lipids represents the main energy source for protein synthesis during oocyte nuclear maturation and early embryo development [34, 35]. Simultaneously, adequate communication between oocyte and CCs and appropriate assembly and organization of the CC matrix are required for both oocyte maturation and competence [36–38]. Most of the genes, identified in the present investigation as differentially expressed in CCs treated with HP-hMG and rFSH, were reported for the first time, except for TNFAIP6 and GJA5 (connexin 40) which have been previously identified as potential markers of oocyte competence in CCs from bovine preovulatory follicles  and biomarker of oocyte maturation in canine cumulus-oocyte complexes matured in vitro, respectively .
Furthermore, the comparison of our data with the two other transcriptomic studies comparing the same gonadotropin treatment in granulosa cells (GCs) using the GnRH agonist long protocols [24, 25] indicates that GM2 ganglioside activator is upregulated in HP-hMG CCs (this study) and rFSH GCs . GM2A is known to play an important role in the hydrolysis of phospholipids or small glycolipids . In addition, among the 9 common genes of our study and the one by Brannian et al. , six genes (ATP7A, BTRC, LRRN3, STRN3, PTER, and SUPT3) are upregulated in both CCs and GCs after rFSH treatment; one (H19) was upregulated in both rFSH CCs and HP-hMG GCs and the two others (SERPINI1 and SSFA2) in HP-hMG CCs and rFSH. The use of different GnRH analogs might explain these discrepancies, but we cannot exclude the possibility that gonadotropin stimulation might have different effects on CCs and GCs. More investigations are required to address this issue.
On the other hand, we reported an important common CC molecular signature revealing the preservation of numerous growth factor signaling between the two types of treatments including the IGF, PDGF, FGF, and EGF pathways (See Figure SIII). These signaling pathways have been previously reported to play a central role in the control of the intrafollicular androgen/estrogen ratio for the IGF members , in angiogenesis and embryo development for the FGF and PDGF members  and in oocyte maturation for the members of the EGF family [43–45]. The interactions between these signaling pathways in CCs under COS will be a precious itinerary to explore in future works in order to complete the oocyte competence puzzle.
Another important finding of this study is that the mRNA level for key genes involved in ovulation process including hormonal receptors (LHCGR and BMPR2) and regulators of steroidogenesis (StAR, HSD3B2, Activins, and Inhibins) was comparable in the HP-hMG and rFSH CC groups. This suggests a similar potency of the two protocols to induce hormonal receptors and similar estrogenic capacity of the CC samples stimulated by HP-hMG and rFSH. This is in line with several studies reporting that CCs in vitro were able to secrete estradiol during COCs culture from patients undergoing stimulated cycles, probably as a consequence of the action of gonadotropins .
We also identified a significant relationship between some CC genes that were specifically upregulated following stimulation with HP-hMG or rFSH and in vitro embryo development. In the HP-hMG group, upregulation of NPY1R and NPY2R in CCs was associated with top/good embryo quality at day 3. NPY modulates steroid production through NPY receptors  and plays a role in human ovarian steroidogenesis directly at the level of the granulosa cells of the follicles in the early stage of luteinization [48, 49]. Additionally, the association of ubiquitin specific protease 45 (USP45) with good blastocyst quality suggests the requirement of proteasomal activity in HP-hMG-treated CCs. Proteasomal activity has been reported to have multiple functions in CCs expansion, in oocyte meiosis, and in the modification of cumulus-oocyte communication .
In the rFSH group, upregulation of gremlin 1 (GREM1) in CCs was associated with top/good embryo quality at day 3 and OSBPL6 upregulation with good blastocyst grading at day 5. Only CC expression of GREM1, a member of the bone morphogenic protein (BMP) antagonist family, has been reported as positively correlated with embryo quality [7, 12, 51]. The regulation of BMP through GREM1 is thought to contribute to CCs expansion and therefore to the final maturation of oocytes . The gene OSBPL6 codes for the oxysterol binding protein-like-6 receptor. Oxysterols, which bind to this receptor, are potent modulators of expression of cholesterol synthesis in human granulosa cells . Recently, Watanabe et al.  reported that variation in cholesterol contents in cumulus-oocyte complexes during in vitro maturation of porcine oocytes affected their ability to be fertilized, suggesting that, under rFSH regime, cholesterogenesis at a nearby site of oocyte growth and maturation might also be involved in in vitro blastocyst outcome.
On the other hand, we also identified CC genes associated with day 3 embryo quality and blastocyst grading at day 5, independently of the type of gonadotropins. Among these genes, we report for the first time the expression of STC2, GSTM2, and TRIM65, as well as PTX3 which has been shown in previous studies to either be associated with fertilization rate  or to have no relationship with high-quality embryo on day 3 . A possible reason for higher stanniocalcin 2 (STC2) expression in the CCs isolated from MII oocytes that developed into top/good day 3 is the modulation of the angiogenic  or steroidogentic pathways  or principal processes in ovarian function [58–60]. Conversely, we observed an increased expression of GSTM2 and TRIM65 in CCs from oocytes that developed into bad blastocyst grading. GSTM2 and TRIM65 play a role in the protection against lipid peroxidation  and in DNA repair  respectively, suggesting an increase in cellular resistance against oxidative stress and damaged DNA. The implications of these genes, at the CC level, deserve to be addressed in future studies in order to understand their function in follicular growth.
Furthermore, independently of the type of gonadotropin treatment, we found an association between blastocyst grading at day 5 and the amount of amplified mRNA in CC samples from MII mature oocytes with comparable top/good embryo quality at day 3. Lower mRNA values were detected in CCs from MII oocytes that developed into bad blastocysts as compared to CC samples from oocytes that developed into intermediary or good quality blastocysts at day 5. This suggests that CCs surrounding an incompetent oocyte are less transcriptionally active.
These results are in line with our previously published data showing a general reduction in transcriptomic activity of CCs associated with poor oocyte competence and negative clinical outcome .
Analysis of the microarray data of CCs from patients, who underwent GnRH-antagonist COS, highlights a significant difference in the gene expression profile of CCs following treatment with HP-hMG or rFSH. Components of signaling pathways (the EGF, IGF, FGF, and PDGF cascades) were conserved in CCs under the two gonadotropin stimulation regimens. Some genes specific to each gonadotropin treatment or commonly expressed in both groups were associated with in vitro embryo development. Moreover, independently of the gonadotropin preparation used, the amount of amplified mRNA in each CC was associated with blastocyst grading at day 5. These genes may prove valuable as biomarkers of in vitro embryo quality and can be useful for understanding the biology of stimulation.
This work was supported by Ferring Pharmaceuticals A/S. The authors thank the direction of the Montpellier 1 University, University Hospital of Montpellier for their support, and Dr. Aït-ahmed Ounissa for the insightful discussions and the critical review of the paper.
- G. H. Trew, A. P. Brown, S. Gillard et al., “In vitro fertilisation with recombinant follicle stimulating hormone requires less IU usage compared with highly purified human menopausal gonadotrophin: results from a European retrospective observational chart review,” Reproductive Biology and Endocrinology, vol. 8, article 137, 2010.
- M. van Wely, I. Kwan, A. L. Burt et al., “Recombinant versus urinary gonadotrophin for ovarian stimulation in assisted reproductive technology cycles. A cochrane review,” Human Reproduction Update, vol. 18, no. 2, p. 111, 2012.
- M. van Wely, I. Kwan, A. L. Burt et al., “Recombinant versus urinary gonadotrophin for ovarian stimulation in assisted reproductive technology cycles,” Cochrane Database of Systematic Reviews, no. 2, Article ID CD005354, 2011.
- K. J. Hutt and D. F. Albertini, “An oocentric view of folliculogenesis and embryogenesis,” Reproductive BioMedicine Online, vol. 14, no. 6, pp. 758–764, 2007.
- D. F. Albertini, C. M. H. Combelles, E. Benecchi, and M. J. Carabatsos, “Cellular basis for paracrine regulation of ovarian follicle development,” Reproduction, vol. 121, no. 5, pp. 647–653, 2001.
- S. Assou, D. Haouzi, K. Mahmoud et al., “A non-invasive test for assessing embryo potential by gene expression profiles of human cumulus cells: a proof of concept study,” Molecular Human Reproduction, vol. 14, no. 12, pp. 711–719, 2008.
- L. J. McKenzie, S. A. Pangas, S. A. Carson et al., “Human cumulus granulosa cell gene expression: a predictor of fertilization and embryo selection in women undergoing IVF,” Human Reproduction, vol. 19, no. 12, pp. 2869–2874, 2004.
- A. P. A. van Montfoort, J. P. M. Geraedts, J. C. M. Dumoulin, A. P. M. Stassen, J. L. H. Evers, and T. A. Y. Ayoubi, “Differential gene expression in cumulus cells as a prognostic indicator of embryo viability: a microarray analysis,” Molecular Human Reproduction, vol. 14, no. 3, pp. 157–168, 2008.
- K. M. Gebhardt, D. K. Feil, K. R. Dunning, M. Lane, and D. L. Russell, “Human cumulus cell gene expression as a biomarker of pregnancy outcome after single embryo transfer,” Fertility and Sterility, vol. 96, no. 1, pp. 47.e2–52.e2, 2011.
- M. Hamel, I. Dufort, C. Robert et al., “Identification of differentially expressed markers in human follicular cells associated with competent oocytes,” Human Reproduction, vol. 23, no. 5, pp. 1118–1127, 2008.
- S. Assou, I. Boumela, D. Haouzi et al., “Dynamic changes in gene expression during human early embryo development: from fundamental aspects to clinical applications,” Human Reproduction Update, vol. 17, no. 2, pp. 272–290, 2011.
- R. A. Anderson, R. Sciorio, H. Kinnell et al., “Cumulus gene expression as a predictor of human oocyte fertilisation, embryo development and competence to establish a pregnancy,” Reproduction, vol. 138, no. 4, pp. 629–637, 2009.
- T. Adriaenssens, S. Wathlet, I. Segers et al., “Cumulus cell gene expression is associated with oocyte developmental quality and influenced by patient and treatment characteristics,” Human Reproduction, vol. 25, no. 5, pp. 1259–1270, 2010.
- Z. G. Ouandaogo, D. Haouzi, S. Assou et al., “Human cumulus cells molecular signature in relation to oocyte nuclear maturity stage,” PLoS One, vol. 6, no. 11, Article ID e27179, 2011.
- S. Assou, T. Anahory, V. Pantesco et al., “The human cumulus-oocyte complex gene-expression profile,” Human Reproduction, vol. 21, no. 7, pp. 1705–1719, 2006.
- E. Fragouli, D. Wells, A. E. Iager, U. A. Kayisli, and P. Patrizio, “Alteration of gene expression in human cumulus cells as a potential indicator of oocyte aneuploidy,” Human Reproduction, vol. 27, pp. 2559–2568, 2012.
- S. Assou, D. Haouzi, J. de Vos, and S. Hamamah, “Human cumulus cells as biomarkers for embryo and pregnancy outcomes,” Molecular Human Reproduction, vol. 16, no. 8, pp. 531–538, 2010.
- J. Balasch, J. Peñarrubia, F. Fábregues et al., “Ovarian responses to recombinant FSH or HMG in normogonadotrophic women following pituitary desensitization by a depot GnRH agonist for assisted reproduction,” Reproductive BioMedicine Online, vol. 7, no. 1, pp. 35–42, 2003.
- Z. Kilani, A. Dakkak, S. Ghunaim et al., “A prospective, randomized, controlled trial comparing highly purified hMG with recombinant FSH in women undergoing ICSI: ovarian response and clinical outcomes,” Human Reproduction, vol. 18, no. 6, pp. 1194–1199, 2003.
- P. Platteau, A. N. Andersen, A. Balen et al., “Similar ovulation rates, but different follicular development with highly purified menotrophin compared with recombinant FSH in WHO Group II anovulatory infertility: a randomized controlled study,” Human Reproduction, vol. 21, no. 7, pp. 1798–1804, 2006.
- S. Daya, “Updated meta-analysis of recombinant follicle-stimulating hormone (FSH) versus urinary FSH for ovarian stimulation in assisted reproduction,” Fertility and Sterility, vol. 77, no. 4, pp. 711–714, 2002.
- A. Coomarasamy, M. Afnan, D. Cheema, F. van der Veen, P. M. M. Bossuyt, and M. van Wely, “Urinary hMG versus recombinant FSH for controlled ovarian hyperstimulation following an agonist long down-regulation protocol in IVF or ICSI treatment: a systematic review and meta-analysis,” Human Reproduction, vol. 23, no. 2, pp. 310–315, 2008.
- S. Ziebe, K. Lundin, R. Janssens, L. Helmgaard, and J.-C. Arce, “Influence of ovarian stimulation with HP-hMG or recombinant FSH on embryo quality parameters in patients undergoing IVF,” Human Reproduction, vol. 22, no. 9, pp. 2404–2413, 2007.
- M. L. Grøndahl, R. Borup, Y. B. Lee, V. Myrhøj, H. Meinertz, and S. Sørensen, “Differences in gene expression of granulosa cells from women undergoing controlled ovarian hyperstimulation with either recombinant follicle-stimulating hormone or highly purified human menopausal gonadotropin,” Fertility and Sterility, vol. 91, no. 5, pp. 1820–1830, 2009.
- J. Brannian, K. Eyster, B. A. Mueller, M. G. Bietz, and K. Hansen, “Differential gene expression in human granulosa cells from recombinant FSH versus human menopausal gonadotropin ovarian stimulation protocols,” Reproductive Biology and Endocrinology, vol. 8, article 25, 2010.
- P. Devroey, A. Pellicer, A. Nyboe Andersen, and J.-C. Arce, “A randomized assessor-blind trial comparing highly purified hMG and recombinant FSH in a GnRH antagonist cycle with compulsory single-blastocyst transfer,” Fertility and Sterility, vol. 97, no. 3, pp. 561–571, 2012.
- D. K. Gardner and W. B. Schoolcraft, “Culture and transfer of human blastocysts,” Current Opinion in Obstetrics and Gynecology, vol. 11, no. 3, pp. 307–311, 1999.
- D. K. Gardner, W. B. Schoolcraft, L. Wagley, T. Schlenker, J. Stevens, and J. Hesla, “A prospective randomized trial of blastocyst culture and transfer in in-vitro fertilization,” Human Reproduction, vol. 13, no. 12, pp. 3434–3440, 1998.
- M. B. Eisen, P. T. Spellman, P. O. Brown, and D. Botstein, “Cluster analysis and display of genome-wide expression patterns,” Proceedings of the National Academy of Sciences of the United States of America, vol. 95, no. 25, pp. 14863–14868, 1998.
- S. Assou, I. Boumela, D. Haouzi, et al., “Transcriptome analysis during human trophectoderm specification suggests new roles of metabolic and epigenetic genes,” PLoS One, vol. 7, no. 6, Article ID e39306, 2012.
- B. L. Dozier, K. Watanabe, and D. M. Duffy, “Two pathways for prostaglandin F2α synthesis by the primate periovulatory follicle,” Reproduction, vol. 136, no. 1, pp. 53–63, 2008.
- A. Regassa, F. Rings, M. Hoelker et al., “Transcriptome dynamics and molecular cross-talk between bovine oocyte and its companion cumulus cells,” BMC Genomics, vol. 12, article no. 57, 2011.
- D. Szöllösi, “On the role of gap junctions between follicle cells and oocyte in the mammalian ovarian follicle,” Research Communications in Chemical Pathology and Pharmacology, vol. 10, no. 2, pp. 3–4, 1978.
- K. R. Dunning, K. Cashman, D. L. Russell, J. G. Thompson, R. J. Norman, and R. L. Robker, “Beta-oxidation is essential for mouse oocyte developmental competence and early embryo development,” Biology of Reproduction, vol. 83, no. 6, pp. 909–918, 2010.
- T. G. McEvoy, G. D. Coull, P. J. Broadbent, J. S. M. Hutchinson, and B. K. Speake, “Fatty acid composition of lipids in immature cattle, pig and sheep oocytes with intact zona pellucida,” Journal of Reproduction and Fertility, vol. 118, no. 1, pp. 163–170, 2000.
- D. L. Russell and R. L. Robker, “Molecular mechanisms of ovulation: co-ordination through the cumulus complex,” Human Reproduction Update, vol. 13, no. 3, pp. 289–312, 2007.
- C. Fülöp, S. Szántó, D. Mukhopadhyay et al., “Impaired cumulus mucification and female sterility in tumor necrosis factor-induced protein-6 deficient mice,” Development, vol. 130, no. 10, pp. 2253–2261, 2003.
- H. J. Song, E. J. Kang, G. H. Maeng et al., “Influence of epidermal growth factor supplementation during in vitro maturation on nuclear status and gene expression of canine oocytes,” Research in Veterinary Science, vol. 91, no. 3, pp. 439–445, 2011.
- M. Assidi, S. J. Dieleman, and M.-A. Sirard, “Cumulus cell gene expression following the LH surge in bovine preovulatory follicles: potential early markers of oocyte competence,” Reproduction, vol. 140, no. 6, pp. 835–852, 2010.
- Y. Shimada, Y.-T. Li, and S.-C. Li, “Effect of GM2 activator protein on the enzymatic hydrolysis of phospholipids and sphingomyelin,” Journal of Lipid Research, vol. 44, no. 2, pp. 342–348, 2003.
- G. F. Erickson, V. G. Garzo, and D. A. Magoffin, “Insulin-like growth factor-I regulates aromatase activity in human granulosa and granulosa luteal cells,” Journal of Clinical Endocrinology and Metabolism, vol. 69, no. 4, pp. 716–724, 1989.
- C. I. Friedman, D. B. Seifer, E. A. Kennard, L. Arbogast, B. Alak, and D. R. Danforth, “Elevated level of follicular fluid vascular endothelial growth factor is a marker of diminished pregnancy potential,” Fertility and Sterility, vol. 70, no. 5, pp. 836–839, 1998.
- J.-Y. Park, Y.-Q. Su, M. Ariga, E. Law, S.-L. C. Jin, and M. Conti, “EGF-like growth factors as mediators of LH action in the ovulatory follicle,” Science, vol. 303, no. 5658, pp. 682–684, 2004.
- H. Ashkenazi, X. Cao, S. Motola, M. Popliker, M. Conti, and A. Tsafriri, “Epidermal growth factor family members: endogenous mediators of the ovulatory response,” Endocrinology, vol. 146, no. 1, pp. 77–84, 2005.
- Z. G. Ouandaogo, N. Frydman, L. Hesters, et al., “Differences in transcriptomic profiles of human cumulus cells isolated from oocytes at GV, MI and MII stages after in vivo and in vitro oocyte maturation,” Human Reproduction, vol. 27, pp. 2438–2447, 2012.
- R.-C. Chian, A. Ao, H. J. Clarke, T. Tulandi, and S.-L. Tan, “Production of steroids from human cumulus cells treated with different concentrations of gonadotropins during culture in vitro,” Fertility and Sterility, vol. 71, no. 1, pp. 61–66, 1999.
- P. Kempná, M. Körner, B. Waser et al., “Neuropeptide Y modulates steroid production of human adrenal H295R cells through Y1 receptors,” Molecular and Cellular Endocrinology, vol. 314, no. 1, pp. 101–109, 2010.
- A. Barreca, B. Valli, A. Cesarone et al., “Effects of the neuropeptide Y on estradiol and progesterone secretion by human granulosa cells in culture,” Fertility and Sterility, vol. 70, no. 2, pp. 320–325, 1998.
- M. Körner, B. Waser, and J. C. Reubi, “Neuropeptide Y receptor expression in human primary ovarian neoplasms,” Laboratory Investigation, vol. 84, no. 1, pp. 71–80, 2004.
- Y.-J. Yi, E. Nagyova, G. Manandhar et al., “Proteolytic activity of the 26S proteasome is required for the meiotic resumption, germinal vesicle breakdown, and cumulus expansion of porcine cumulus-oocyte complexes matured in vitro,” Biology of Reproduction, vol. 78, no. 1, pp. 115–126, 2008.
- F. Cillo, T. A. L. Brevini, S. Antonini, A. Paffoni, G. Ragni, and F. Gandolfi, “Association between human oocyte developmental competence and expression levels of some cumulus genes,” Reproduction, vol. 134, no. 5, pp. 645–650, 2007.
- S. A. Pangas, C. J. Jorgez, and M. M. Matzuk, “Growth differentiation factor 9 regulates expression of the bone morphogenetic protein antagonist gremlin,” Journal of Biological Chemistry, vol. 279, no. 31, pp. 32281–32286, 2004.
- T. G. Golos and J. F. Strauss III, “8-Bromoadenosine cyclic 3′5′-phosphate rapidly increases 3-hydoxy-3-methylglutaryl coenzyme a reductase mRNA in human granulosa cells: role of cellular sterol balance in controlling the response to tropic stimulation,” Biochemistry, vol. 27, no. 9, pp. 3503–3506, 1988.
- H. Watanabe, S. Hirai, H. Tateno, and Y. Fukui, “Variation of cholesterol contents in porcine cumulus-oocyte complexes is a key factor in regulation of fertilizing capacity,” Theriogenology, vol. 79, pp. 680–686, 2013.
- X. Zhang, N. Jafari, R. B. Barnes, E. Confino, M. Milad, and R. R. Kazer, “Studies of gene expression in human cumulus cells indicate pentraxin 3 as a possible marker for oocyte quality,” Fertility and Sterility, vol. 83, no. 4, supplement 1, pp. 1169–1179, 2005.
- A. Chakraborty, H. Brooks, P. Zhang et al., “Stanniocalcin-1 regulates endothelial gene expression and modulates transendothelial migration of leukocytes,” American Journal of Physiology—Renal Physiology, vol. 292, no. 2, pp. F895–F904, 2007.
- M. Paciga, C. R. McCudden, C. Londos, G. E. DiMattia, and G. F. Wagner, “Targeting of big stanniocalcin and its receptor to lipid storage droplets of ovarian steroidogenic cells,” The Journal of Biological Chemistry, vol. 278, no. 49, pp. 49549–49554, 2003.
- G. Basini, S. Bussolati, S. E. Santini et al., “Antiangiogenesis in swine ovarian follicle: a potential role for 2-methoxyestradiol,” Steroids, vol. 72, no. 8, pp. 660–665, 2007.
- G. Basini, L. Baioni, S. Bussolati et al., “Expression and localization of stanniocalcin 1 in swine ovary,” General and Comparative Endocrinology, vol. 166, no. 2, pp. 404–408, 2010.
- G. Basini, S. Bussolati, S. E. Santini et al., “Hydroxyestrogens inhibit angiogenesis in swine ovarian follicles,” Journal of Endocrinology, vol. 199, no. 1, pp. 127–135, 2008.
- J. Lim and U. Luderer, “Oxidative damage increases and antioxidant gene expression decreases with aging in the mouse ovary,” Biology of Reproduction, vol. 84, no. 4, pp. 775–782, 2011.
- Y. Ziv, D. Bielopolski, Y. Galanty et al., “Chromatin relaxation in response to DNA double-strand breaks is modulated by a novel ATM-and KAP-1 dependent pathway,” Nature Cell Biology, vol. 8, no. 8, pp. 870–876, 2006.