Gene Expression Profiling of Human Oocytes Developed and Matured In Vivo or In Vitro

Abstract

The quality of the human oocyte determines the success of fertilization and affects the consequent embryo development, pregnancy and birth; it therefore serves as a basis for human reproduction and fertility. The possibility to evaluate oocyte quality in the in vitro fertilization programme is very limited. The only criterion which is commonly used to evaluate oocyte quality is its morphology. There is a mass of oocytes in the in vitro fertilization programme which are not fertilized in spite of normal morphology. In the past, several attempts focused on oocyte gene expression profiling by different approaches. The results elucidated groups of genes related to the human oocyte. It was confirmed that some factors, such as oocyte in vitro maturation, are detectable at the molecular level of human oocytes and their polar bodies in terms of gene expression profile. Furthermore, the first genetic evaluations of oocyte-like cells developed in vitro from human stem cells of different origin were performed showing that these cells express some genes related to oocytes. All these findings provide some new knowledge and clearer insights into oocyte quality and oogenesis that might be introduced into clinical practice in the future.

1. Introduction

A viable quality human oocyte is a prerequisite for successful fertilization, implantation, and development of a new human being. Although an enormous development of techniques of in vitro fertilization has arisen in recent years and several indications of infertility became treatable, the general implantation and pregnancy rates after the embryo transfer are still low [1]. A mass of embryos are developed in the in vitro fertilization programme which do not implant. This is mainly due to a lack of reliable criteria on oocyte quality and the selection of embryos with sufficient developmental potential. The quality of oocytes obtained under ovarian stimulation for in vitro fertilization varies considerably and depends on several factors. A large proportion of oocytes are capable of being fertilized, but only approximately half of fertilized oocytes fully complete their preimplantation development and still fewer implant [2]. More studies have evidenced that some gene expression levels could serve as oocyte quality markers. Additionally, recent studies also confirmed that oocyte-like cells expressing some oocyte-specific genes can be developed in vitro from different types of stem cells. These include human embryonic stem cells (hESCs) [3–7], human induced pluripotent stem cells (hiPSCs) [6, 7], putative stem cells from adult human ovaries of women with no naturally present follicles or oocytes [8–10], and human amniotic fluid stem cells (hAFSCs) [11]. Therefore it is also important to know the gene expression profile of these cells to evaluate their quality and safety. The aim of this paper is to summarize the new knowledge on the gene expression profile of human oocytes developed and matured in vivo and in vitro.

2. Human Oocyte

An oocyte is a female germ cell involved in reproduction. It is one of the largest cells in the body with a diameter of at least 100 μm when mature. The oocyte is rich in cytoplasm that contains yolk granules to support the cell's growth, maturation, and the early development after fertilization. In vivo it is produced in the ovarian follicle, a functional unit of the ovary, during the process of oogenesis/folliculogenesis [12]. The oogenesis then starts with the development of oogonia. Each oogonium inside the fetal ovaries divides and enters the initial stage of meiosis (meiosis I) to become the primary oocyte. The diploid primary oocyte, however, does not complete meiosis I but is stopped at the first meiotic prophase stage, called dictyate. At this stage the oocyte nucleus is called the germinal vesicle (GV), as this stage refers to the GV stage of maturity. GV oocytes are localized within the primordial follicle, also consisting of a flattened and condensed layer of surrounding mesenchymal granulosa cells. By the end of the fetal period, all primary oocytes have formed and are stopped at the dictyate stage. Although meiosis was arrested, the dictyate chromosomes continue to synthesize large amounts of mRNA and rRNA, which are later used to generate a bulk of essential proteins needed for oocyte maturation and further development of the fertilized oocyte and embryo [12]. Then the primary oocytes are maintained for years, until puberty (menarche). Upon puberty the primary oocytes finish meiosis I, and a primary oocyte divides into two daughter cells: a haploid secondary oocyte and an extruded nonfunctional polar body. During the menstrual cycle only a few of primary oocytes are recruited, and only one matures and is ovulated. When this secondary oocyte enters meiosis (meiosis II), it does not finish but is arrested again and held at the metaphase II (MII) stage until fertilization. The MII-stage oocyte has the potential to be fertilized. When the oocyte is fertilized, the process of meiosis is terminated and the second polar body is extruded. During the menstrual cycle only 15–20 early antral follicles/oocytes are recruited and only one dominant follicle matures fully and is ovulated. Each oocyte develops and matures in the functional unit of the ovary—the follicle. The primary oocytes grow and mature during the development and maturation of primordial, primary and secondary follicles, whereas the secondary oocytes develop along with the tertiary and preovulating Graafian follicle. This process is regulated by hormones and other substances.

In the in vitro fertilization programme oocytes are retrieved after hormonal stimulation of patient's ovaries and by ultrasound guided aspiration. Oocytes at different stages of maturity can be retrieved. Most oocytes are mature metaphase II (MII) oocytes, while a relatively small proportion of oocytes are immature metaphase I (MI) oocytes and prophase I (PI) or germinal-vesicle- (GV-) stage oocytes. The MII oocytes are characterized by a round shape, zona pellucida, and an extruded polar body; MI oocytes by a round shape, zona pellucida, and the absence of a polar body; GV-stage oocytes by a round shape, zona pellucida, and the presence of a germinal vesicle (for morphology see Figure 1). In the in vitro fertilization programme only mature MII-stage oocytes can be fertilized and develop into an embryo; therefore, the immature oocytes need to be matured in vitro or discarded in daily clinical practice.

Figure 1.

Human oocytes from the in vitro fertilization programme (a)–(c): immature germinal vesicle (GV) oocytes with a germinal vesicle (arrow) and without a polar body; (d)–(f): immature metaphase I (MI) oocytes without a polar body; (g)–(i): mature metaphase II (MII) oocytes with a polar body (arrow).

Because the main role of an oocyte is to be fertilized and to grow into a fully functional organism, it has to be able to regulate many different cellular and developmental processes, such as the regulation of the cell cycle progression and cellular metabolism, fertilization, activation of zygotic transcription, embryo development, activation of the embryonic genome, and formation of body axes. During oocyte growth a variety of maternally transcribed mRNAs are supplied which represent the maternal contribution to the oocyte and, consequently, the newly fertilized oocyte, zygote, and early embryo. These mRNAs can be stored in message ribonucleoprotein (mRNP) complexes and then translated when needed [13]; additionally, they can be localized within a specific region of the cytoplasm or dispersed within the cytoplasm of the entire oocyte. Maternally synthesized proteins can also be localized or ubiquitous throughout all the oocyte's cytoplasm.

3. Gene Expression Analyses of Human Oocytes

The first gene expression analyses in human oocytes were performed by reverse transcription-polymerase chain reaction (RT-PCR; see Table 1) and were followed using microarray technology (Table 2). Microarrays enable gene expression profiling, which gives the researcher the ability to monitor and quantify the expression of thousands of known genes at the same time (e.g., whole genome microarray). This methodological breakthrough has the potential to provide detailed insight into cellular processes involved in the regulation of gene expression in different cell types, including oocytes and cumulus cells.

Table 1.

Analyses of human oocyte gene expression by RT-PCR.

Oocyte gene expression analyses by RT-PCR
Analyzed oocytes	Maturity of oocytes	Expression of genes	Functions of analyzed genes	Study
Four oocytes, forty-two embryos	MII, non-fertilized	High expression of BRCA1, BRCA2, ATM, TP53, RB1, MNAD2, BUB1, APC, beta-actin in oocytes, but low in embryos	Genes related to the preimplantation development	Wells et al., 2005 [17]
Four single oocytes, five embryos	MII, non-fertilized	LDH-A, LDH-B, LDH-C expression in oocytes and embryos	Genes encoding lactate dehydrogenase isozymes
		SUMO-1, SUMO-2, SUMO-3 expression in oocytes and embryos	Small ubiquitin-like modifier isoforms	Li et al., 2006 [18]
Oocytes from follicles	From primordial follicles to MII oocytes	NOBOX expression from primordial follicles to MII oocytes	Homeobox genes encoding transcription factors
	From primordial to early primary follicles	HOXA10 expression from primordial to early primary follicles
	From primordial follicles to GV oocytes	HOXB7 expression from primordial follicles to GV oocytes
	GV oocytes	HOXA7 expression in GV oocytes		Huntriss et al., 2006 [19]
	MII oocytes	HOXA1, HEX expression in MII oocytes
	Cumulus cells	HOXC9, HOXC8, HOXC6, HOXA7, HOXA5, HOXA4 expression in cumulus cells

Table 2.

Gene expression profiling of human oocytes using microarrays.

Analyses of oocyte gene expression by microarrays
Analyzed oocytes	Expression of genes	Functions of analyzed genes	Study
Seventy seven in vivo matured oocytes at different stages of maturity: 20 GV oocytes (7 patients), 20 MI oocytes (7 patients), 37 MII oocytes, cumulus cells	Identification of new potential regulators and marker genes involved in the human in vivo oocyte maturation	Transcription regulation, DNA repair, cell cycle checkpoint	Gasca et al., 2007 [2]
Individual MII oocytes and groups of 5 MII oocytes	1,361 transcripts expressed in oocytes	Apoptosis, cell cycle, circadian rhythms, cytoskeleton, secretory pathways, exocytosis, endocytosis, kinases, membrane receptors, ion channels, mitochondria, structural nuclear proteins, phospholipases, protein degradation and synthesis, secreted proteins, signaling pathways, DNA, chromatin, RNA, transcription, and others	Bermúdez et al., 2004 [14]
Groups of 10 MII oocytes from women aged <35 years in comparison to 10 different normal human somatic tissues	5,331 transcripts significantly up-regulated and 7,074 transcripts significantly down-regulated in human oocytes	Up-regulated TGF-β pathway, DNA, RNA and protein metabolism, transcription regulation, chromatin modification	Kocabas et al., 2006 [15]
Groups of 20 GV, 20 MI, and 16 MII oocytes	Oocytes expressed in average 8,728 genes. The lowest number of expressed genes in MII oocytes (5,633) and highest in GV oocytes (10,892)	Genes specifically expressed in germinal cells and oocytes, meiosis, components of the maturation-promoting factor (MPF), spindle checkpoint, transforming growth factor-beta superfamily, chromatin remodeling	Assou et al., 2006 [16]
Nine MII and GV oocytes, preimplantation embryos	Human oocytes are low RNA template samples and an amplification step is required to provide sufficient labeled RNA as a microarray target (PCR and serial analysis of gene expression SAGE, microarrays)		Neilson et al., 2000 [20] Dobson et al., 2004 [21]
Seven individuals: 5 GV (primary) and 2 MII (secondary) oocytes and 15 preimplantation embryos	Down-regulation of genes in preimplantation embryos in comparison with oocytes	Oocyte maturation and embryo development	Dobson et al., 2004 [21]
Single and pooled GV oocytes	Oocytes need to be pooled for the starting template for each array and sufficient microarray experiments performed to minimize the variance associated with processing		Jones et al., 2007 [22]
Four individual MII oocytes and four 4-cell and three 8-cell embryos	A total of 631 genes exhibited differential expression in oocytes and embryos. In oocytes 184 genes were expressed more than twofold above the median value. Only two genes were at least twofold below the median value	Interconversion of lactate and pyruvate, lactate dehydrogenase, oocyte maturation, embryo development	Li et al., 2006 [18]
Immature oocytes from primordial, intermediate, and primary follicles	A total of 6,301 unique genes were significantly expressed; extraordinary high expression levels of TMEFF2, OPHN1 and ATP6; expression of oocyte- or germline-specific genes	RNA binding, translation initiation structural molecule activity, BMP receptors, activin receptors, IGFI receptor, fibroblast growth factors, different enzymes	Markholt et al., 2012 [23]
Seventy six GV oocytes from 55 donor patients, hESCs, and human foreskin fibroblasts	10,183 genes were expressed in GV oocytes including oocyte-specific genes. Distinct sets of genes were detected in oocytes, hESCs and fibroblasts	In GV oocytes 4 signaling pathways—MOS-MPF, transforming growth factor-beta, Wnt, and Notch, oocyte maturity, embryo development	Zhang et al., 2007 [24]
GV and MII oocytes, hESCs, somatic tissues	Identified a common oocyte/hESC gene expression profile	Cell cycle, enzymes involved in general cell metabolism, nucleoside synthesis, DNA repair, cell cycle regulatory machinery, regulation of the topologic state of DNA, mitotic spindle assembly checkpoint, pluripotency, chromatin remodelling, transcription factors, ubiquitination, and proteasome pathways	Assou et al., 2009 [25]
GV oocytes, MII oocytes matured in vivo and in vitro	GV, in vivo matured MII oocytes, and in vitro matured MII oocytes expressed 12,219, 9,735, and 8,510 genes. There was an extensive overlap among the all three groups of oocytes, but also some significant differences. There were some immature GV oocyte patterns of gene expression, which still persisted in in vitro matured oocytes	Nuclear maturity, cytoplasmic functions expressed in an immature manner, cellular storage and homeostasis	Wells and Patrizio, 2008 [26]
GV oocytes, MII oocytes matured in vivo and in vitro	More than 2,000 genes were expressed at more than 2-fold higher levels in oocytes matured in vitro than those matured in vivo	Transcription, the cell cycle and its regulation, transport and cellular protein metabolism	Jones et al., 2008 [27]
Fresh, slowly frozen, and vitrified MII oocytes	Oocyte slow freezing and vitrification negatively affected the gene expression profile of human oocytes in comparison with fresh controls	Chromosomal structure maintenance, cell cycle regulation, genes of the ubiquitination pathway	Monzo et al., 2012 [28]
Thirty nine MII oocytes with total fertilization failure and control oocytes	Misexpression of several genes, characterized by important fold changes in oocytes with total fertilization failure	Meiosis, cell growth, and apoptosis control	Gasca et al., 2008 [29]
Fifteen GV oocytes which matured to MII stage overnight and their polar bodies	Transcripts that were present in greater abundance in the single oocytes were also detected in qPCR replicates from single polar bodies, except oocyte-specific H1FOO		Klatsky et al., 2010 [30]
Single MII oocytes and single polar bodies after biopsy	Human polar bodies reflected the oocyte transcript profile. 5,256 mRNAs, or 97%, including miRNAs were expressed in both oocytes and polar bodies		Reich et al., 2011 [31]
MII oocytes of younger (<32 years) and older women (>40 years)	Found that the global gene expression profiles in oocytes are related to female age. Genes were down-regulated in older women	Cell cycle regulation, cytoskeletal structure, energy pathways, transcription control, and stress responses	Steuerwald et al., 2007 [32]
Single MII oocytes of younger (<34 years) and older women (37–39 years)	7,470 genes (10,428 transcripts) were expressed in oocytes; 342 genes were expressed at significantly different expression levels between the two age groups of patients	Cell cycle regulation, chromosome alignment, sister chromatid separation, oxidative stress and ubiquitination, the signaling network of genes for cell cycle and organism development	Grøndahl et al., 2010 [33]
Seven MII oocytes (three normal and four aneuploid) and their polar bodies after biopsy	At comparative genomic hybridization 327 genes were differently expressed in both groups of oocytes; the relation between mRNA transcript numbers and female age	Meiotic spindle assembly, chromosome alignment, production of cell surface, or excretory molecules.	Fragouli et al., 2010 [34]

3.1. Human Oocyte-Specific Genes

More studies elucidated the oocyte gene expression profile from different aspects; most of these studies used the microarray technology and are listed in Table 2. In the study by Bermúdez et al. [14], microarray methods were used to examine the expression of linearly amplified RNA from individual oocytes and groups of five oocytes. In this study the amplification strategy consistently enabled a complex representative cDNA population. With this methodology a catalogue of 1,361 different transcripts expressed in human oocytes was identified; 406 of them have been independently confirmed by other methods. According to their function, the expression of several genes was related to apoptosis, cell cycle, circadian rhythms, cytoskeleton, secretory pathways, exocytosis, endocytosis, kinases, membrane receptors, ion channels, mitochondria, structural nuclear proteins, phospholipases, protein degradation, protein synthesis, secreted proteins, signaling pathways, DNA, chromatin, RNA, transcription, and others. The results of this study highlighted the potential of microarray analyses in reproductive medicine.

Using microarray analysis, Kocabas et al. analyzed the transcriptome of non-fertilized mature MII oocytes from the in vitro fertilization programme [15]. They analyzed three groups of 10 oocytes from three young donors, each less than 35 years of age, reproductively healthy with regular ovulatory cycles, with the male factor as the only cause of infertility, and a considerable number of developing follicles. The transcriptome of these oocytes was compared to 10 different normal human tissues, including skeletal muscle, kidney, lung, colon, liver, spleen, breast, brain, heart, and stomach. Compared with reference samples, there were 5,331 transcripts significantly up-regulated and 7,074 transcripts significantly down-regulated in the human oocytes. Genes up-regulated in oocyte samples included most of the well-known germ cell-specific genes. The authors confirmed the presence of pathways previously described in the mouse oocytes, especially the TGF-β. Among genes up-regulated in oocytes, 1,430 were of unknown function. A group of 66 genes up-regulated in human oocytes was identified by intersecting significantly up-regulated genes in human oocytes with those from the mouse oocytes and from human and mouse embryonic stem cells. Additionally, microarray results were validated using RT-PCR analysis for a selected set of oocyte-specific genes. The genes up-regulated in human oocytes were related to RNA, DNA, protein metabolism, and chromatin modification. The overexpression of genes associated with RNA metabolism is in agreement with the fact that oocytes store a great amount of RNA to support the processes of fertilization, early embryonic development, and activation of the embryonic genome. The up-regulation of genes related to DNA metabolism, transcription regulation (zinc finger proteins), and chromatin modification is in agreement with the oocyte need to remodel the sperm chromatin after fertilization. The human oocyte is proposed to be transcriptionally silent at the MII stage of maturity but is very active in transcription and translation during the growth phase and must be prepared to initiate transcription during embryonic genome activation at the 4- to 8-cell embryo stage. The authors concluded that further understanding of the biological role of genes up-regulated in mature human oocytes may extend the knowledge on the meiotic cell cycle, fertilization, chromatin remodeling, lineage commitment, pluripotency, tissue regeneration, and morphogenesis. Moreover, Assou et al. found 1,514 genes which were up-regulated in human oocytes in addition to already known genes, such as DAZL, BMP15, or GDF9. Among them were the meiosis-related genes PTTG3 (securing) and AURKC (Aurora kinase), previously unreported growth factors such as TNFSF13/APRIL, FGF9, FGF14 and IL4, as well as transcription factors, including OTX2, SOX15, and SOX30 [16]. The most specific and significantly up-regulated oocyte genes, summarized from the perviously mentioned manuscripts, are listed in Table 3. In spite of some complex gene expression profilings of human oocytes, the relation of expressed genes to the fertilization process, embryo development, and conceiving is still poorly understood and needs to be elucidated in the future.

Table 3.

Some of genes significantly overexpressed in oocytes according to [15, 16] and GeneCards data.

Genes significantly overexpressed in oocytes
Gene symbol	Gene title	Chromosome
Gamete markers
DAZL	Deleted in azoospermia-like	3
DDX4/VASA	DEAD (Asp-Glu-Ala-Asp) box polypeptide 4	5
DPPA3/STELLA	Developmental pluripotency associated 3	12
Embryogenesis, pluripotency, self-renewal, proliferation, development
ZAR1	Zygote arrest 1	4
PUM1	Pumilio homolog 1 (Drosophila)	1
PUM2	Pumilio homolog 2 (Drosophila)	2
NANOS1	Nanos homolog 1 (Drosophila)	10
NANOG	Nanog homeobox	12
SOX2	SRY (sex determining region Y)-box 2	3
SALL2	Sal-like 2 (Drosophila)	14
KLF4	Kruppel-like factor 4 (gut)	9
LIN28B	Lin-28 homolog B (C. elegans)	6
Maturation promoting and related factors
CCNB1	Cyclin B1	5
CCNB2	Cyclin B2	15
CDC2/CDK1	Cell division cycle 2, G1 to S and G2 to M	10
CDC25A	Cell division cycle 25A	3
CDC25B	Cell division cycle 25B	20
CDC25C	Cell division cycle 25C	5
Spindle checkpoint
BUB1	BUB1 budding uninhibited by benzimidazoles 1 homolog	2
BUB1B/BUBR1	BUB1 budding uninhibited by benzimidazoles 1 homolog beta	15
CENPA	Centromere protein A	2
CENPE	Centromere protein E	4
CENPH	Centromere protein H	5
MAD2L1/MAD2	MAD2 mitotic arrest deficient-like 1	4
Cytoplasmic receptors
NALP5/NLRP5/MATER	NLR family, pyrin domain containing 5	19
APC/C complex, securin, cohesins
ANAPC1/APC1	Anaphase promoting complex subunit 1	2
ANAPC10/APC10	Anaphase promoting complex subunit 10	4
CDC20	CDC20 cell division cycle 20	1
PTTG1	Pituitary tumor-transforming 1	5
PTTG3	Pituitary tumor-transforming 3 (meiosis)	8
STAG3	Stromal antigen 3 (meiosis)	7
Epigenetic remodeling
DNMT1	DMA (cytosine-5-)-methyltransferase 1	19
DNMT3B	DMA (cytosine-5-)-methyltransferase 3 beta	20
HDAC9	Histone deacetylase 9	7
H1FOO	H1 histone family, member O, oocyte-specific	3
HCAP-G	Chromosome condensation protein G	4
Meiosis, miscellaneous
AKAP1	A kinase (PRKA) anchor protein 1	17
MCM3	MCM3 minichromosome maintenance deficient 3	6
MOS	v-mos Moloney murine sarcoma viral oncogene homolog	8
REC8	REC8 homolog (yeast)	14
STAG3	Stromal antigen 3	7
FMN2	Formin 2	1
SYCP1	Synaptonemal complex protein 1	1
SYCP2	Synaptonemal complex protein 2	20
SYCP3	Synaptonemal complex protein 3	12
SMC3	Structural maintenance of chromosomes 3	10
SMC1B	Structural maintenance of chromosomes 1B	22
STRA8	Stimulated by retinoic acid gene 8 homolog (mouse)	7
MLH1	mutL homolog 1, colon cancer, nonpolyposis type 2 (E. coli)	3
DMC1	DMC1 dosage suppressor of mck1 homolog, meiosis-specific homologous recombination (yeast)	22
PELO	Pelota homolog (Drosophila)	5
WEE2	WEE1 homolog 2 (S. pombe)	7
SGOL2	Shugoshin-like 2 (S. pombe)	2
PPP2CA	Protein phosphatase 2, catalytic subunit, alpha isozyme	5
SPAG16	Sperm associated antigen 16	2
TUBB4Q	Tubulin, beta polypeptide 4, member Q	4
FBXO5/EMI1	F-box protein 5	6
AURKC	Aurora kinase C	19
Extracellular matrix, growth factors, cell surface, signaling
BMP15	Bone morphogenetic protein 15	X
BMP6	Bone morphogenetic protein 6	6
GDF9	Growth differentiation factor 9	5
FGFR2	Fibroblast growth factor receptor 2	10
FGF9	Fibroblast growth factor 9 (glia-activating factor)	13
FGF14	Fibroblast growth factor 14	13
KIT	v-kit Hardy-Zuckerman 4 feline sarcoma viral oncogene homolog	4
IL4	Interleukin 4	5
TNFSF13/APRIL	Tumor necrosis factor superfamily, member 13 v-erb-a erythroblastic leukemia viral oncogene	17
ERBB4	Homolog 4	2
FZD3	Frizzled homolog 3	8
GPR37	G protein-coupled receptor 37 (endothelin receptor type B-like)	7
GPR39	G protein-coupled receptor 39	2
GPR51	G protein-coupled receptor 51	9
GPR126	G protein-coupled receptor 126	6
GPR143	G protein-coupled receptor 143	X
GPR160	G protein-coupled receptor 160	3
ZP1	Zona pellucida glycoprotein 1 (sperm receptor)	11
ZP2	Zona pellucida glycoprotein 2 (sperm receptor)	16
ZP3	Zona pellucida glycoprotein 3 (sperm receptor)	7
ZP4	Zona pellucida glycoprotein 4	1
SLC5A11	Solute carrier family 5 (sodium/glucose cotransporter), member 11	16
SOCS7	Suppressor of cytokine signaling 7	17
Transcription factors, oogenesis, folliculogenesis
FIGLA	Folliculogenesis specific basic helix-loop-helix	2
POU5F1	POU class 5 homeobox 1	6
NOBOX	NOBOX oogenesis homeobox	7
BNC1	Basonuclin 1	15
GCNF/NR6A1	Nuclear receptor subfamily 6, group A, member 1	9
SOX15	SRY (sex determining region Y)-box 15	17
SOX30	SRY (sex determining region Y)-box 30	5
OTX2	Orthodenticle homolog 2 (Drosophila)	14
FOXR1	Forkhead box R1	11
JARID2	Jumonji, AT rich interactive domain 2	6
Chromatin reprogramming
NPM2	Nucleophosmin/nucleoplasmin 2	8
Postreplicative DNA mismatch repair system
MSH2	mutS homolog 2, colon cancer, nonpolyposis type 1 (E. coli)	2
Oolema receptor (oocyte-sperm adhesion)
ASTL	Astacin-like metalloendopeptidase (M12 family)	2
Imprinted genes
MEST	Mesoderm specific transcript homolog	7
Apoptosis
BNIP1	BCL2/adenovirus E1B 19 kDa interacting protein 1	5
BIRC5	Baculoviral IAP repeat-containing 5 (survivin)	17
BCL2L10	BCL2-like 10 (apoptosis facilitator)	15

Further attempts were made to optimize a microarray-based approach for deriving representative gene expression profiles of human oocytes. Since the human oocyte is a low RNA template sample which contains approximately 55 to 100 pg of polyA+ mRNA [20, 21], it was proposed that an amplification step is required to provide sufficient labeled RNA as a microarray target. Jones et al. tried to optimize a protocol for deriving reproducible and representative gene expression profiles by microarrays from very rare samples of human oocytes, available for research purposes [22]. In their study cRNA was generated from both single and pooled immature human GV-stage oocytes. The amplification products were used as a microarray target to optimize a protocol of gene expression profiling. They found that linear amplification and exponential amplification were both capable of generating sufficient products for hybridization to the microarrays, even from the low amount of template mRNA present in a single human oocyte. The results of this study showed that the majority of the variance associated with amplification and hybridization procedures resulted from the molecular processing; therefore, oocytes need to be pooled for the starting template for each array and sufficient independent microarray experiments need to be performed to minimize the variance associated with molecular processing. In this study the hierarchical cluster analysis of the five immature GV-stage oocytes and the two MII-stage oocytes showed significant deviation in branch distances despite the fact that the oocytes were retrieved from women of similar age and indication of infertility.

Our own preliminary data show that single human oocytes from the in vitro fertilization programme can also be successfully analyzed by the Biomark Real-Time Quantitative PCR (qPCR) System (Fluidigm). This methodology enables qualitative analyses of single cells after preamplification. The advantage of the methodology is that many genes can be analyzed at the same time. In our preliminary work 19 single human oocytes at different stages of maturity (6 GV, 4 MI, 5 in vitro matured (IVM), and 4 mature MII oocytes) were analyzed on 56 genes related to pluripotent stem cells and oocytes by the Fluidigm system after the preamplification procedure. The analyzed genes were selected to elucidate the relation of human oocytes to hESCs and to better understand the molecular status of oocyte-like cells developed in vitro from stem cells of different origins, including pluripotent hESCs and iPSCs. The inventoried TaqMan assays (Applied Biosystem) were pooled to a final concentration of 0.2× for each assay. The cells to be analyzed were harvested directly into RT-PreAmp Master Mix. The harvested cells were immediately frozen and stored at −80°C. Cell lysis and sequence-specific reverse transcription were performed at 50°C for 15 minutes. The reverse transcriptase was inactivated by heating to 95°C for 2 minutes. Subsequently, cDNA went through limited sequence-specific amplification by denaturing at 95°C for 15 seconds and annealing and amplification at 60°C for four minutes for 14 cycles. These pre-amplified products were diluted 5-fold prior to analysis with the Universal PCR Master Mix and inventoried with TaqMan gene expression assays in 96.96 Dynamic Arrays on a BioMark System. Ct values obtained from the BioMark System were transferred to the GenEx software (MultiD) to analyze the gene expressions. The results confirmed that a small proportion—three outstanding oocytes (two immature MI oocytes and one in vitro matured oocyte IVM)—differed at the molecular level from other oocytes and did not cluster with them, as revealed by heatmap, hierarchical clusterings, and principal component analysis (Figure 2). Although no statistical differences in gene expression were found between them, we concluded that a higher number of single oocytes at each stage of maturity would have to be analyzed using this methodology in the future.

Figure 2.

Analyses of nineteen human oocytes at different stages of maturity on the expression of fifty-six genes related to pluripotent stem cells and oocytes using a Fluidigm Real-Time system confirmed three outstanding oocytes (two MI and one IVM oocyte). (a) heatmap clustering (Ward's Algorithm, Euclidean Distance Measure), (b) hierarchical clustering (Ward's Algorithm, Euclidean Distance Measure), (c) principal component analysis (PCA) legend for (a) red—expressed, green—nonexpressed; legend for (b) and (c) aquamarine—GV oocytes, blue—metaphase I oocytes, red—MII oocytes, dark red—IVM oocytes. Analyzed genes: VASA, GPR125, DAZL, KIT, KIT-LIG, STELLA, GFRa1, PLZF, OCT4B, OCT4A, LIN28, GDF3, NANOG, MYC, KLF4, SOX2, UTF1, TDGF1, DNMT3B, LIN28B, TERT, CD9, NANOS, CDH1, STAT3, REX01, DNMT1, BMP15, ZP1, ZP2, ZP3, ZP4, SCP1, SCP2, SCP3, SMC1A, FSTL1, CCNB1, BNC1, BUB1, BUB3, NOBOX, MSH5, NLRP5, FMN2, HIFOO, MEST, CRKRS, MLH1, ZAR1, REC8, PRDM1, SAT1, FIGLA, STAG3, and DMC1.

3.2. Genes Related to Preimplantation Development

Still little is known about gene expression in human oocytes and during early embryo development because of the rare availability of materials to be researched however some studies have tried to elucidate this (see Tables 1 and 2).

Wells et al. quantified the expression of nine different genes BRCA1, BRCA2, ATM, TP53, RB1, MAD2, BUB1, APC, and beta-actin in four mature human oocytes and forty-two embryos by RT-PCR [17], as can be seen in Table 1. These genes are known to play key roles in processes important for preimplantation development, such as cell cycle regulation, DNA repair, signaling pathways, construction of the cytoskeleton, and apoptosis. The authors found that the analyzed oocytes showed relatively high levels of mRNA transcripts, while 2-3-cell preimplantation embryos were found to contain very little mRNA from any of the genes analyzed. The recovery of gene expression levels was not seen until the 4-cell stage embryo or later, which may be related to the activation of the embryonic genome. During preimplantation development of embryos some genes displayed great increases in expression at the stage of 4–8 cells, but for most genes the maximal expression was not achieved until the blastocyst stage. From these results it may be concluded that it is possible to define characteristic gene expression profiles for each stage of human preimplantation development. The identification of genes expressed at different preimplantation phases of development may provide the link to the cellular pathways which are activated at defined stages of oocyte development. The expression of genes related to DNA repair pathways in cleavage stage embryos indicated that DNA damage may be a common feature at this stage. It was suggested that specific profiles of gene expression may be indicative of embryo development and implantation potential. In another study Li et al. analyzed the gene expression of human lactate dehydrogenase isozymes (LDH-A, LDH-B, and LDH-C) and small ubiquitin-like modifier isoforms (SUMO-1, SUMO-2, and SUMO-3) in four single MII-stage oocytes, two 4-cell and three 8-cell embryos using the reverse transcription-polymerase chain reaction [18]. The mRNAs for SUMO-1, SUMO-2, SUMO-3, and LDH-B (heart) were detected in all oocytes and 4- and 8-cell embryos. The mRNA for LDH-A (muscle) was detected in two of four oocytes and in one of three 8-cell embryos. Lactate and pyruvate are the crucial nutrients for the cleavage stage embryos of many mammalian species, including humans, as confirmed also by this study. The interconversions of lactate and pyruvate are catalyzed by lactate dehydrogenase (LDH), which was expressed in oocytes and embryos in this study. Small ubiquitin-like modifier (SUMO) proteins in humans, expressed in oocytes and embryos in this study, are involved in protein trafficking and targeting during posttranslational modification. The mRNA for testis-specific LDH-C was not detected in any sample in this study.

Using microarray technology Dobson et al. analyzed gene expression in single human oocytes and preimplantation embryos to elucidate the gene expression profile during human preimplantation development from the oocyte to the 8-cell stage embryos [21]. The results of this study provided the first global analysis of the human preimplantation embryo transcriptome and demonstrated that RNA can be successfully amplified from single oocytes and embryos for analysis by cDNA microarray technology. To identify the genes whose transcript levels changed throughout the first 3 days of preimplantation development, they analyzed gene expression in single oocytes (five primary oocytes and two secondary oocytes) and embryos (seven day 1 embryos, three day 2 embryos, and five day 3 embryos), each compared to a control primary oocyte. They found that a specific pattern of gene expression exists with most genes that are transcriptionally modulated during the first three days following fertilization being not up-regulated but down-regulated in comparison with oocytes. They also observed that the majority of genes which showed differential expression during preimplantation development were of unknown identity and function and that embryonic transcriptional programs were clearly established by day 3 following fertilization, even in embryos that arrested prematurely at 2-, 3- or 4-cell stages. For the first time it was indicated that the failure to activate transcription is not associated with the majority of human preimplantation embryo loss in the in vitro fertilization programme. In the study of Li et al. the cDNA microarray from single oocytes and 4- and 8-cell embryos were used to elucidate the differential expression profiles [18]. In oocytes 184 genes were found to be expressed more than twofold above the median value, but only two genes were at least twofold below the median value. In 4-cell embryos 29 genes were expressed more than twofold above the median value, but 98 genes expressed at least twofold below the median value. In 8-cell embryos 65 genes were found to have a value more than twofold above the median value, and 287 genes were expressed at least twofold below the median value of all genes expressed in oocytes and embryos. This indicated that the expression of some zygotic genes had already occurred in 4-cell embryos.

3.3. Gene Expression Profile during Oogenesis/Folliculogenesis

Huntriss et al. studied the expression of the NOBOX gene in human ovarian follicles and oocytes and presented the first cDNA cloning and transcript expression analysis of the human NOBOX gene using RT-PCR [19], as can be seen in Table 1. NOBOX is a homeobox gene that is preferentially expressed in the oocytes and ovarian follicles and was first identified in the mouse. When analyzing adult human tissues, they found that the expression of this gene is limited to the ovary, testis, and pancreas. The NOBOX gene expression within the ovary was oocyte-specific and was found from the primordial stage of ovarian follicles through to the mature MII oocytes. Additionally, Huntriss et al. analyzed the expression profiles of 14 additional homeobox genes during human oogenesis and early development. Using RT-PCR they found that the expression of HOXA10 was limited to primordial and early primary follicles. The gene HOXB7 was expressed from primordial and early primary stage follicles to the GV-stage oocytes. The homeobox genes gastrulation brain homeobox 1 (GBX1) and HOXA7 were predominately expressed by GV oocytes and HOXA1 and HEX by MII oocytes. It was concluded that the homeobox gene transcripts detected in ovarian follicles and oocytes were distinct from those expressed in human embryos at the blastocyst stage (HOXB4, CDX2, and HOXC9) and in granulosa cells (HOXC9, HOXC8, HOXC6, HOXA7, HOXA5, and HOXA4).

Markholt et al. have isolated pure populations of oocytes from the early follicles at different stages of maturity—primordial, intermediate, and primary follicles—by laser capture microdissection methodology and analyzed them by whole-genome microarray analysis [23]. The microarray data were also confirmed by qPCR for selected genes. Their results confirmed that a total of 6,301 unique genes were significantly expressed representing categories of genes related to “RNA binding,” “translation initiation,” and “structural molecule activity”. Several genes were also found to be associated with early oocyte development, where some were identified with extraordinarily high expression levels, such as the antiproliferative transmembrane protein with an epidermal growth factor-like and two follistatin-like domains (TMEFF2): the Rho-GTPase-activating protein oligophrenin 1 (OPHN1) and the mitochondrial-encoded ATPase6 (ATP6). The genes TMEFF2 (also known as Tomoregulin-2) and OPHN1 were among the most expressed genes overall. In oocytes from primordial/primary follicles the mitochondria-related gene DC48 was also strongly expressed. In the oocytes from the primordial/primary follicles the genes related to ovarian steroidogenesis were not expressed or were only weakly expressed. In terms of steroid receptors the androgen receptor (AR), estrogen receptor 2 (ER2), and the progesterone receptor membrane component 1 + 2 were expressed at a low level, while there was no expression of the follicle-stimulating hormone receptor (FSHR) and luteinizing hormone receptor (LHR). Among transcription factors several genes from the POU and Forkhead families were expressed in oocytes from early follicles: POUF3F2 (OCT-3), POU4F2, POU2F1 (OCT-1), POU5F1 (OCT-4), and FOXO1, FOXO3, FOXR1, FOXP1. Among TGFβ family of growth factors and other growth factors were several genes which were not expressed: bone morphogenetic protein (BMP15), anti-Mullerian hormone (AMH), AMH receptor 2 (AMRH2), activin/inhibin subunits, insulin-like growth factor I (IGFI), platelet-derived growth factor (PDGF) and its receptor, and epidermal growth factor (EGF) and its receptor (EGFR) were not expressed in appreciable levels, while in contrast a number of BMP receptors (BMP1A and BMP1B), activin receptors (activin 1B, 2A, and 2B), IGFI receptor, fibroblast-growth factor (FGF)-9, FGF14, FGF receptor 4, and transforming growth factor alpha (TGFα) were consistently expressed. In oocytes from early follicles several genes of signal transduction were expressed, such as genes for enzymes phosphatidylinositol 3-kinase (PI3K), PI4K, and PTEN that regulate the levels of phosphatidylinositol 3,4,5-triphosphate and genes for phosphodiesterases (PDE4D, PDE8A + B, and PDEI2) and for the mitogen-activated protein kinase I (MAPKI). In oocytes from primordial follicles some oocyte or germline-specific genes were found to be expressed, such as the factor in the germline alpha (FIGLA), zona pellucida glycoproteins ZP1, ZP2, ZP3, ZP4, spermatogenesis and oogenesis-specific basic helix-loop-helix I (SOLHI), SOLH2, the newborn ovary homeobox (NOBOX) gene, the maternal embryonic leucine zipper kinase (MELK), and oocyte-specific gene (MATER). The authors proposed a technique of laser capture microdissection combined with transcriptome analysis of the rare material of human oocytes from the early follicle stages as an important tool to gain better understanding of early human folliculogenesis and oogenesis. These results indicated some genes which might be related to the oocyte maturation process.

3.4. Gene Expression Profiles in Human Oocytes and Human Embryonic Stem Cells

The real origin of hESCs is still a matter of debate. Thus far it has been believed that they most closely resemble pluripotent primitive ectoderm cells derived from the blastocyst inner cell mass. However, differences between ESCs and primitive ectoderm cells have opened the question whether ESCs really have an in vivo equivalent or whether their properties mostly reflect their artificial culture environment. Some authors have proposed that they might be related to the germinal lineage [35]. Early human preimplantation embryo development is characterized by the induction of totipotency, followed by pluripotency. The understanding of this very complex process could be implicated among in vitro fertilization methodology and regenerative medicine. Human mature MII-stage oocytes and hESCs have some common features: both are able to achieve cell reprogramming towards pluripotency in different ways (e.g., by somatic cell nuclear transfer and cell fusion). The comparison of the transcriptome of these two types of cells may highlight some genes that are involved in the pluripotency initiation. Zhang et al. confirmed the expression of distinct sets of developmentally regulated genes that are expressed by both the human oocytes and hESCs [24]. The main point of their study was to identify genes that were expressed differently during final oocyte maturation and early embryonic development in humans. Using the microarrays and RT-PCR methodology they compared gene expression profiles of 76 human GV-stage oocytes from 55 donor patients included in the in vitro fertilization programme, hESCs, and human foreskin fibroblasts. In their study 10,183 genes were expressed in human GV oocytes, and 45% of these genes were still unclassified by their biological function. Four oocyte-specific genes—MATER, ZAR1, NPM2, and FIGLA—were for the first time detected in human GV-stage oocytes. Additionally, the components of 4 signaling pathways—MOS-MPF, TGF-β, Wnt, and Notch—were also found to be expressed in human GV oocytes. Distinct sets of genes were detected by comparison of gene expression profiles between human GV oocytes, hESCs, and human foreskin fibroblasts, and these gene sets may be involved in the processes of oocyte maturation and early embryonic development. Furthermore, Assou et al. compared the gene expression profile of mature MII oocytes from the in vitro fertilization programme and hESCs to that of somatic tissues [25]. They identified a common oocyte/hESC gene expression profile, which included several genes involved in the cell cycle, such as those encoding enzymes involved in general cell metabolism (METAP2, SHMT2, etc.), nucleoside synthesis (DHFR, TYMS, RRM2, PPAT, etc.), DNA repair including mismatch repair (MSH2 and MSH6) or base excision repair (UNG and PCNA), main components of the cell cycle regulatory machinery (CCNB1 and 2, CCNA, CCNE, etc.), regulators of the topologic state of DNA (TOP1 and TOP2A) and components of the mitotic spindle assembly checkpoint (the centromere constituents CENPE, the securin PTTG1, and MAD2L1, BUB1B, BUB3), genes related to pluripotency (e.g., LIN28 and TDGF1), large chromatin remodeling network genes (e.g., TOP2A, DNMT3B, JARID2, SMARCA5, CBX1, and CBX5), 18 different zinc finger transcription factors, including ZNF84, and several genes which are still poorly understood, such as KLHL7, MRS2, or the selenophosphate synthetase 1 (SEPHS1). Additionally, a large set of genes was also found to encode proteins involved in the ubiquitination and proteasome pathways. After differentiation of hESCs into embryoid bodies, the transcription of these gene pathways was found to decline. These data indicated the important relation of oocytes to hESCs but also some important oocyte-specific differences.

3.5. Oocyte-Like Cells Developed In Vitro

There were also several successful attempts to culture oocyte-like cells (OLCs) from hESCs [3–7], hiPSCs [6, 7], hOSCs [8–10], and hAFSCs [11]. These OLCs expressed some oocyte-specific genes, as revealed by RT-PCR. The data are summarized in Table 4. West et al. found that the enrichment and differentiation of human germ-like cells were mediated by mouse embryonic fibroblast (MEF) feeder cells and basic fibroblast growth factor (bFGF) [3]; these OLCs significantly up-regulated genes related to premigratory/migratory processes, as well as some meiosis-related genes, as can be seen in Table 4. Furthermore, they cultured OLCs from hESCs and confirmed that endogenous BMP expression caused germ-like (DDX4 (VASA)+ POU5F1+) cell differentiation, and the inhibition of this pathway resulted in a significant decrease of germ cell-related gene expression and the number of germ-like cells [4], as also presented in Table 4. Additionally, they confirmed that the loss of KITL in the culture system resulted in a significant down-regulation of germ cell genes and a 70.5% decrease of germ-like cells. Their results indicated that both the BMP and KITL expressions are important for in vitro development of hESC-derived germ-like cells and that they may play an important role in human oogenesis.

Table 4.

Expression of genes in oocyte-like cells developed in vitro from human stem cells of different sources.

Gene expression of oocyte-like cells developed in vitro from stem cells in humans
Source	Critical culture condition	Expression of genes (method of detection)	References
Human embryonic stem cells (hESCs)	bFGF, feeder layer (mouse embryonic fibroblasts)	Premigratory/migratory genes related to pluripotency: IFITM3, DAZL, NANOG, POU5F1, postmigratory genes: PIWIL2, PUM2 and genes related to meiosis: SYCP3 and MLH1 (RT-PCR).	West et al., 2008 [3]
hESCs	bFGF, feeder layer (mouse embryonic fibroblasts)	Germ cell-related gene DDX4 (VASA) and pluripotency-related POU5F1 (OCT4). (RT-PCR)	West et al., 2010 [4]
hESCs	Ovarian fibroblasts	VASA, DAZL, GDF3, GDF9, MLH1, SCP1, PUM1, PUM2, POU5F1 (RT-PCR)	Richards et al., 2010 [5]
hESCs Human-induced pluripotent stem cells (hiPSCs)	Culture medium with glutamine, 2-mercaptoethanol and bFGF	Early germ cell markers:VASA, DAZL, IFITM1, PRDM1A, GCNF, GDF3, CKIT, PELOTA  Late germ cell and meiotic markers: SCP3, MLH1, DMC1, GDF9, ZP4  (Biomark 96.96 microfluidic qPCR chip Fluidigm).	Medrano et al., 2012 [6]
hESCs hiPSCs from keratinocytes and umbilical cord blood	Culture medium with retinoic acid, forskolin, and bFGF	OCT4, NANOG, SOX2, KLF4, C-MYC, DPPA4, DNMT3B, REX1, SALL2, LIN28, VASA,and STRA8 (RT-PCR) Haploid cells confirmed by fluorescence in situ hybridization for chromosomes X, Y, and 18	Eguizabal et al., 2011 [7]
Stem cells from adult ovarian surface epithelium (hOSCs)	Culture medium with phenol red (weak estrogenic stimuli)	OCT4A, OCT4B, c-KIT, VASA, and ZP2 (RT-PCR)	Virant-Klun et al., 2008 [8]
Stem cells from adult ovarian surface epithelium (hOSCs)	Culture medium with added follicular fluid	OCT4A, SOX-2, NANOG, NANOS, STELLA, CD9, LIN28, KLF4, GDF3, and MYC (Single-Cell Gene Expression Analyses by Fluidigm BioMark System)	Virant-Klun et al., 2011 [10]
Amniotic fluid stem cells (hAFSCs)	Culture medium with glutamine, beta-mercaptoethanol, and porcine follicular fluid	BMP15, ZP1, ZP2, ZP3, c-kit, VASA (RT-PCR) BMP15 was proposed as an important marker of oogenesis	Cheng et al., 2012 [11]

Richards et al. [5] cultured embryoid bodies from hESCs in six different culture conditions (mitotically inactivated porcine ovarian fibroblasts, 100% conditioned medium from porcine ovarian fibroblasts, 50% conditioned medium from porcine ovarian fibroblasts, forskolin, transretinoic acid RA, and forskolin and RA) and in all cultured conditions confirmed the development of OLCs, which expressed several oocyte-specific genes, such as VASA, DAZL, GDF3, GDF9, MLH1, SCP1, PUM1, PUM2, and POU5F1 (see Table 4). Among all culture conditions, porcine ovarian fibroblasts were proven to be the best system for initiating germ cell differentiation in vitro.

Medrano et al. [6] found that with overexpression of VASA and/or DAZL genes, both the hESCs and iPSCs were differentiated into primordial germ cells, and maturation and progression through meiosis was enhanced. These cells expressed several genes related to early germ cells (VASA, DAZL, FITM1, PRDM1A, GCNF, GDF3, CKIT, PELOTA) and late germ cells and meiosis (SCP3, MLH1, DMC1, GDF9, ZP4), as can be seen in Table 4. Moreover, Eguizabal et al. [7] have recently reported that hESCs and hiPSCs were successfully differentiated into OLCs and then successfully passed through the process of meiosis, were haploid, and expressed several genes related to early and late germ cells as well as the process of meiosis (Table 4). This was the first report indicating that OLCs developed in vitro from stem cells might pass through the process of meiosis and finally differentiated in haploid cells.

The OLCs and parthenogenetic-like structures were developed from the putative human ovarian stem cells from the ovarian surface epithelium of women with no naturally present oocytes and follicles—postmenopausal women and women with premature ovarian failure—as reported by our group [8–10]. These in vitro developed OLCs expressed some oocyte-specific genes [8, 9] and a variety of genes related to pluripotent stem cells [9], listed in Table 4. A big advantage of these cells is that they can be developed from autologous ovarian stem cells, even in women with severe ovarian infertility.

Recently, Cheng et al. successfully developed stem cells from human amniotic fluid (hAFSCs) into OLCs [11]. After 15 days of cell culture and differentiation, OLCs with a diameter of 50–60 μm and zona-pellucida- (ZP-) like structures were observed. They were trying to elucidate if the bone morphogenetic protein 15 (BMP15) gene was activated during the differentiation of human amniotic fluid stem cells into OLCs. When OLCs were analyzed by RT-PCR, BMP15 was activated from approximately day 10 of cell differentiation. Additionally, the green-fluorescent-protein- (GFP-) BMP15 was transfected into the differentiating human amniotic stem cells, and its expression was positive in the OLCs. The RT-PCR analysis showed that the oocyte-specific genes, such as ZP1, ZP2, ZP3, and c-kit, were expressed in the differentiating hAFSCs, and the immunofluorescence assay confirmed that the ZP2 was detected in the OLCs. Using quantitative RT-PCR they found that that ZP2 and ZP3 expressions were significantly elevated in the differentiating stem cells. They concluded that the BMP15 could be used as an important marker of oogenesis to follow the differentiation of amniotic fluid stem cells and other stem cells into the OLCs.

The results of all these studies showed that it is possible to trigger the development of OLCs from different types of stem cells by the addition of certain substances to the culture medium, such as bFGF, retinoic acid, forskolin or human/animal follicular fluid, or by using ovarian fibroblasts or mouse embryonic fibroblasts (MEFs) as a feeder layer (Table 4). The oocyte-like cells mostly had a diameter of around 60 μm, and some of them expressed a zona-pellucida-like structure. In spite of some promising new knowledge, the existing results of genetic analyses showed that the OCLs developed in vitro are still far from real, fully competent human oocytes. They mostly failed to progress through the whole process of meiosis in spite of the complex in vitro maturation medium; therefore, the transplantation of these cells to mature them in vivo was proposed as a more reliable approach which may lead to potential clinical practice in the future [36]. Development of oocytes in vitro would be of great importance for the treatment of severe ovarian infertility (e.g., premature ovarian failure). Yet, in general, the OLCs which developed in vitro from human stem cells have not been genetically analyzed in greater detail, including the microarrays. This reveals the need to analyze the OLCs genetically and epigenetically in more detail in comparison with mature oocytes from the in vitro fertilization programme to evaluate their quality and safety in the future. At present the most important task is to better elucidate the expression of oocyte-specific genes (see Table 3).

3.6. Gene Expression Profile and Oocyte In Vivo and In Vitro Maturation

The maturity of the human oocyte is one of the crucial features to sustaining a successful pregnancy to birth. It is known that immature human oocytes at the GV stage and MI stage of maturity cannot be fertilized. Human oocyte maturity is related to nuclear and cytoplasm maturity. Gasca et al. analyzed a pool of immature oocytes (20 GV oocytes in 7 patients and 20 MI oocytes in 7 patients), 37 non-fertilized mature MII oocytes, and cumulus cells by microarrays [2]. In all samples the gene expression level of BRCA1 and 2, ATM, TP53, RB1, BUB1, MAD2, APC, and ACTB was analyzed. The expression of ACTB and MAD2 was present in all samples. Gene RB1 was down-regulated in oocytes, while the genes BUB1, BRCA1 and 2, and MAD2 were down-regulated in cumulus cells. The expression of BRCA1 and 2 was absent in cumulus cells, while the expression of TP53 was absent in MI oocytes and RB1 expression in MII oocytes. They identified new potential regulators and marker genes involved in the human in vivo oocyte maturation, such as BARD1, RBL2, RBBP7, BUB3, or BUB1B (Table 5). In the RB1 group of transcription factors the expression of RBBP8 was highest in the GV oocytes, RBBP4 in MI oocytes, and RBBP7 and RBL2 in MII oocytes. The high expression levels of RBBP7, RBBP4, and RBL2 in MI and MII oocytes suggested that this transcription regulation pathway could be functional during oocyte maturation (Table 5). The expression of the gene RBL1 was highly restricted for cumulus cells, indicating that this gene may be involved in the regulation of transcription in these cells. DNA repair markers ATM and ATR were differentially expressed during oocyte maturation; the expression of ATR mostly appeared in immature GV oocytes. Also the DNA repair marker BARD1 was expressed during oocyte maturation. The cell cycle checkpoint markers BUB3 and BUB1B were expressed in immature MI oocytes, and the expression of gene BRAP was reduced in MII oocytes (see Table 5). Furthermore, Assou et al. [16] analyzed the total cRNA which was synthesized from pools of GV-, MI- or MII-stage oocytes, then labeled, and hybridized to pan-genomic oligonucleotide microarrays. Oocytes expressed on average 8,728 genes. The lowest number of genes was found to be expressed in MII oocytes (n = 5,633) and the highest number in GV oocytes (n = 10,892). On the other hand, in MII oocytes 444 genes were overexpressed, while in GV oocytes only 104 genes were overexpressed; in the transient MI oocytes only 4 genes were overexpressed. The expression variations between GV, MI, and MII oocytes were low. Similarly, Wells and Patrizio [26] found that GV oocytes expressed the highest number of genes, and in vivo matured MII oocytes the lowest number. Most of the differences between GV-stage oocytes and other stages were the consequence of a reduction in the number of mRNA transcripts occurring during progression to MII. This suggested that relatively little new gene expression occurred after the GV stage of maturity, with degradation of mRNA transcripts leading to the differences in transcript numbers observed at later stages of maturity in spite of the fact that the post-GV oocytes were not completely quiescent in terms of gene transcription, as revealed by the detection of some transcripts absent at the GV stage. Differently expressed genes were classified according to their molecular functions and biological processes. In Table 5 we can see the molecular function of most up-regulated genes in GV-stage oocytes in comparison to in vivo matured MII oocytes. For example, a number of genes for storage proteins displayed up-regulation in GV oocytes compared with in vivo matured MII oocytes.

Table 5.

Genes which were significantly up-regulated in human oocytes at different stages of maturity.

Up-regulated genes at different stages of oocyte maturity
GV (immature)	MI (immature)	MII (mature)	References
RBBP8, ATR	BRAP, BUB1B, BUB3	RBBP7, RBL2	Gasca et al., 2007 [2]
GBX1, HOXA7		HOXA1, HEX	Huntriss et al., 2006 [19]
Molecular functions of differently expressed genes
(GV versus MII oocytes)
GV Up-regulated genes (number)		GV Down-regulated genes (number)	References
(i) Nucleic acid binding (149)		(i) Nucleic acid binding (235)
(ii) Zinc finger transcription factor (58)		(ii) Ribosomal protein (101)
(iii) KRAB box transcription factor (41)		(iii) Receptor (39)
(iv) Ligase (31)		(iv) Translation factor (22)
(v) Chaperone (25)		(v) Ribonucleoprotein (15)	Wells and Patrizio, 2008 [26]
(vi) Synthase and synthetase (25)		(vi) Translation elongation factor (14)
(vii) Receptor (22)		(vii) Signaling molecule (13)
(viii) Other RNA-binding factors (19)		(viii) G-protein coupled receptor
(ix) mRNA processing factor (17)		(ix) Tubulin

In vitro maturation of human oocytes is an attractive strategy for in vitro fertilization treatment, especially in women with polycystic ovarian syndrome (PCOS) and with a risk of ovarian hyperstimulation after gonadotropin administration for oocyte retrieval. There is also a proportion of immature oocytes which are discarded in daily medical practice because of their immaturity. However, current in vitro maturation protocols unfortunately produce oocytes with a poor clinical outcome shown by poor embryo development and early pregnancy loss [37]. This is also reflected at the molecular level of in vitro matured oocytes. Wells and Patrizio analyzed in vivo matured oocytes at GV or MII stages of maturity and compared the gene expression profiles between MII oocytes matured in vivo and in vitro [26]. The non-fertilized oocytes from the in vitro fertilization programme were analyzed for more than 29,000 genes with RNA amplification and microarray technology. It was found that GV oocytes expressed 12,219 genes, in vivo matured MII oocytes 9,735, and in vitro matured MII oocytes 8,510. It is interesting that in vivo matured MII and in vitro matured MII oocytes shared very similar patterns of gene expressions, but they also noted some significant differences (see Table 6). It is interesting that some germ cell-specific genes (e.g., DAZL) and genes related to meiosis (e.g., SYCP2, SGOL2, and MSH2) were also among genes which were up-regulated in oocytes matured in vitro. In Table 6 we can see the molecular functions of genes which were expressed differently in oocytes matured in vivo versus in vitro. Some immature GV oocyte patterns of gene expression still persisted in MII oocytes matured in vitro. Although the in vitro matured MII oocytes closely resemble the in vivo matured oocytes, especially for genes related to nuclear maturity, there were several genes related to cytoplasmic functions which were expressed in an immature manner. It seems that the cytoplasmic maturation may be a crucial point regarding the worse clinical outcome obtained by in vitro matured MII oocytes. In vivo matured MII oocytes also expressed some genes associated with cellular storage and homeostasis differently.

Table 6.

Genes which were differently expressed in human oocytes matured in vitro in comparison with oocytes matured in vivo at a cut-off value of 10-fold or higher [26, 27].

Genes differently expressed in oocytes matured
in vitro or in vivo [27]
Significantly up-regulated genes in oocytes matured in vitro	Significantly down-regulated genes in oocytes matured in vitro
HNRNPA2B1, TCEB1, HINT1, PNPLA1, PAOX, NLRP12, KIF23, PRPF38B, UBA52, GEM, MBD4, MORF4L2, ATF2, AFF4, ZCCHC14, ZNF669, CCNG2, NFE2L2,  MSH2 *, ZNF610, C21orf66, CDC37L1, UPF3B, TAOK3, GPR64, HSPA14, C18orf24, TAF1A, MAP2K7,  ZNF571,  PFKFB2, CUL1, CLDN10, CLK1, RCOR1, ZPBP2, GTF2H2, TSG101, ARHGAP11A, HPS3, GRHL1, EIF4G2, RFC4, VPS26A, PIK3C2A, GDI2, RAB23, WDSOF1, PLCL1, DCDC2, MINPP1, PTPN12, METAP2, LHX8, LOC91664, SYCP2 *, ATP5L, ICK, FUCA1, SMARCAD1,  BRD7, TBPL1, ABCD3, SSR3, FEZ2, FHOD3,  AMD1,  DAZL *, ZMYM2, FANCL, SLCO1A2,  NUFIP1, STAU2, PCF11, PPP1R3C, POLI,  SGOL2 *, PBLD, CCNL1, SLBP, MRPS30, TMOD2, FBXW11, CDK7, HNRNPR, CFDP1,  DEPDC7, CTSL2, DYNC1I2, NCKAP1, TRPA1,  DCLRE1A, RAB18, GTDC1, LOC283514, CLUL1, ZNF131, SP3, ZNF302, MAD2L1, TRAPPC6B, C10orf137, MTPN, ZNF313,  PLEKHA3, ZCCHC14, RTTN, ZNF136, ADH5, CCDC88A, CPEB2, SPATA5L1, UGP2, UGP2,MFSD1, TMEM27, ZNF443, UAP1, MIB1, MUT	HTRA1, CCDC69, FHL2
Molecular functions of differently expressed genes
(in vitro versus in vivo matured oocytes) [26]
Significantly up-regulated genes in oocytes matured in vitro (number)	Significantly down-regulated genes in oocytes matured in vitro (number)
(i) Nucleic acid binding (62)	(i) Nucleic acid binding (75)
(ii) Zinc finger transcription factor (13)	(ii) Ribosomal protein (37)
(iii) Other RNA-binding factors (10)	(iii) Translation factor (8)
(iv) Ligase (9)	(iv) Translation elongation factor (6)
(v) KRAB box transcription factor (8)	(v) Storage protein (6)
(vi) mRNA processing factor (8)	(vi) Receptor (5)
(vii) Chaperone (7)	(vii) Tubulin (4)
(viii) Receptor (7)	(viii) Signaling molecule (3)
(ix) Signaling (7)	(ix) Ribonucleoprotein (2)
(x) Ribonucleoprotein (7)	(x) Defense/immunity protein (1)

*Genes related to germ cells and meiosis.

In the important further study by Jones et al. on global gene expression profiling using microarrays and bioinformatics a molecular basis for differences in the developmental competence of oocytes matured in vitro in comparison with in vivo matured oocytes was elucidated [27]. They found that more than 2,000 genes were identified as expressed at more than 2-fold higher levels in oocytes matured in vitro than those matured in vivo, and 162 of them were expressed at 10-fold or greater levels in oocytes matured in vitro (see Table 6). Many of these genes up-regulated in oocytes matured in vitro are involved in transcription, the cell cycle and its regulation, transport, and cellular protein metabolism. They came to an important conclusion that the overabundance of transcripts identified in immature GV-stage oocytes retrieved from gonadotropin stimulated cycles and matured in vitro in the programme of in vitro fertilization is probably due to deregulation in either gene transcription or posttranscriptional modification of genes. Each of the two proposed mechanisms would result in an incorrect temporal utilization of genes which may culminate in developmental incompetence of any embryos derived from these oocytes, as experienced in the clinical programme of in vitro fertilization. All these data indicated that the oocyte in vitro maturation procedure is far from optimal and needs to be further researched in the future. The relation between changed gene expression profile and the quality of oocytes is still poorly understood. Some attempts were made to relate the gene expressions to developmental competence of oocytes. O'Shea et al. [38] performed a meta-analysis on previously published microarray data on various models of oocyte and embryo quality and identified 56 candidate genes associated with oocyte quality across several species, including human. Moreover, they found that twenty-one potential biomarkers were associated with increased oocyte competence, and thirty-five potential biomarkers were associated with decreased oocyte competence (see Table 7). The up-regulation of METAP2 and the decrease of multiple genes linked to mRNA and protein synthesis in models of competence highlight the importance of de novo protein synthesis and its regulation for successful oocyte maturation and subsequent development. Also, the expression of ATRX and several other transcription factors were linked to decreased competence in oocytes (Table 7). These genes could potentially be used also as biomarkers of oocyte quality after the in vitro maturation procedure. The molecular genetic analyses of oocytes are an extremely important tool to provide a more efficient and safe procedure of oocyte in vitro maturation in the future.

Table 7.

Transcription factors associated with developmental competence of oocytes found by meta-analysis of previously published microarray studies comparing in vivo and in vitro matured oocytes in bovine and monkey, human healthy and polycystic ovaries (PCOS-polycystic ovary syndrome), and mouse young and aged ovaries [38].

Transcripts associated with developmental competence of oocytes
Increased developmental competence		Decreased developmental competence
CPD	Carboxypeptidase D precursor	PRKG1	cGMP-dependent protein kinase 1, alpha isozyme
SH3BGRL	SH3 domain binding glutamic acid-rich-like protein	IGFBP3	Insulin-like growth factor binding protein 3
CDC123	Cell division cycle 123	DUSP1	Dual specificity phosphatase 1
AQP1	Aquaporin 1	NDRG4	Ndr4
GNB5	Guanine nucleotide binding protein beta 5	ATOX1	Copper transport protein
METAP2	Methionine aminopeptidase 2	TMSB10	Thymosin beta-10
UBE2E3	Ubiquitin-conjugating enzyme E2E3	ATRX	Alpha thalassemia/mental retardation syndrome X-linked
USP6NL	USP6 N-terminal-like protein	SHMT2	Serine hydroxymethyltransferase 2
HMGA1*	High Mobility group AT-hook1	TGFBR3*	Transforming growth factor beta receptor III
TCTEL1	TCTEL1 protein	FANK1	Fibronectin type 3 and ankyrin repeat domains 1 protein
SNRPD3	Small nuclear ribonucleoprotein D3 polypeptide	PTPN1	Protein tyrosine phosphatase, nonreceptor type 1
MTG1	Mitochondrial GTPase 1 homolog	DDX55	ATP-dependent RNA helicase DDX55
GKAP1	G kinase anchoring protein 1	SFRP1*	Secreted frizzled-related protein 1
UFM1	Ubiquitin-fold modifier 1	BMP4	Bone morphogenetic protein 4
MITD1	Mitochondria interacting transport domain 1	HIST1HBG	Histone H2B type 1-C/E/G
MRPL3	Mitochondrial ribosomal protein L3	SEC61G	Protein transport protein Sec61 subunit gamma
KIF23	Kinesin family member 23	FOXM1*	Forkhead box protein M1
DDX52	DEAD box polypeptide 52	NDUFA1	NADH dehydrogenase 1 alpha subcomplex subunit 1
		TUSC4	Tumor suppressor candidate 4
		JMJD1C	Jumonji domain containing 1C
		POL2RL	DNA-directed RNA polymerases I, II, and III subunit RPABC5
		MED1	Mediator complex subunit 1
		SLC39A14	Solute carrier family 39 member 14
		CALM2	Calmodulin 2
		RPS18	40S ribosomal protein S18
		INVS	Inversion
		RBMS1	RNA binding motif single stranded interacting protein 1
		PLXNC1	Plexin C1
		BTF3l4	Basic transcription factor 3-like 4
		MAP3K12*	Mitogen-activated protein 3 kinase 12
		PXMP4	Peroxisomal membrane protein 4
		EG216818	Ubiquitin
		JAM2	Junctional adhesion molecule 2
		IFITM1	Interferon-induced transmembrane protein 1
		LRRC28	Leucine rich repeat containing 28
Transcription regulation
		Associated with decreased competence in oocytes
		E2f4 65
		Sp3 61
		Gata-1 62
		C/ebp β 62
		Rela (P65 NF-Kb Subunit)

*Potential biomarkers of oocyte developmental competence.

3.7. Gene Expression Profiles in Human Oocytes and In Vitro Fertilization Methods

Oocytes matured in vitro can be cryopreserved or fertilized in the in vitro fertilization programme. Cryopreservation is now considered to be an efficient way to store human oocytes to preserve fertility in young cancer patients before oncotherapy [39–41] (i.e., chemo- and radiotherapy) or in patients with no sperm on the day of in vitro fertilization [42]. There are two different principles in the preservation of human oocytes: stepwise—slow freezing and thawing in a liquid nitrogen vapour [43, 44]—and vitrification—the immediate plunge of oocytes into a vitrification solution with a high concentration of cryoprotectant and into liquid nitrogen [45–47]. There is a big debate over which method is of clinical preference. But in general, the clinical results of in vitro fertilization obtained by frozen-thawed MII oocytes are for the most part significantly worse than in fresh MII oocytes. In spite of the fact that these procedures are already in the clinical practice, the effects of these technologies on the oocyte gene expression are little known. Monzo et al. [28] studied the effect of these two different cryopreservation procedures, slow freezing and vitrification, on the gene expression profile of human MII oocytes. The gene expression profiles and associated biological pathways in slowly frozen/thawed and vitrified oocytes were compared with those of fresh control oocytes. It was found that both cryopreservation procedures negatively affected the gene expression profile of human oocytes in comparison with fresh controls. It is interesting that slowly frozen and vitrified oocytes displayed distinct gene expression profiles: slow oocyte freezing was associated with the down-regulation of genes related to chromosomal structure maintenance (e.g., KIF2C and KIF3A) and cell cycle regulation (e.g., CHEK2 and CDKN1B) that may lead to a reduction in the oocyte developmental competence, while in vitrified oocytes many genes of the ubiquitination pathway were down-regulated, including those of the ubiquitin-specific peptidase family and subunits of the 26S proteasome. Such inhibition of the oocyte degradation machinery might stabilize the maternal protein content which is necessary for oocyte developmental competence. They concluded that the low pregnancy rates achieved by frozen-thawed human MII oocytes could be explained by the alterations of the oocyte gene expression profile.

Not only were the procedures of oocyte cryopreservation confirmed to be related to the changed oocyte gene expression profile, but so was the total fertilization failure (no fertilization of oocytes) in the in vitro fertilization programme. In patients with male factor infertility the total fertilization failure may be explained by the bad sperm quality, while in patients without male factor infertility the lack of identifiable criteria poses the question of the reliability of the clinical management. Gasca et al. analyzed the gene expression profiles of MII oocytes after total fertilization failure in a 30-year-old patient who had experienced three successive total fertilization failures (39 oocytes) and fertile control patients diagnosed with tubal or male infertility [29]. Transcriptional analysis of unfertilized MII oocytes revealed a total fertilization failure-altered gene expression profile with misexpression of genes related to meiosis, cell growth, and apoptosis control, all characterized by important fold changes. These results confirmed that even morphologically normal, high-grade oocytes in the in vitro fertilization programme may express some molecular abnormalities at the gene expression level, especially those related to the failure of MII oocyte activation. The authors proposed the microarray approach to improve the clinical therapeutic treatment and to offer informed counseling to the patients about alternate therapeutic solutions. These studies need to be performed with a higher number of oocytes to make a real conclusion.

3.8. Polar Body Gene Expression Profiling

In the in vitro fertilization programme some improved methods are needed to reliably evaluate oocyte quality prior to fertilization and to choose the right embryos to implant. Recent evaluation of oocyte quality is based only on the evaluation of morphology, but this is very limited, and also oocytes with high-grade morphology sometimes do not fertilize or develop into the embryo. mRNA and proteins produced during the oogenesis support embryonic development until the zygotic transition. Polar body gene expression profiling might be an important safe tool to verify the molecular status of in vivo or in vitro matured oocytes before the in vitro fertilization procedure. The first polar body is extruded from a mature oocyte before fertilization and can be biopsied without damaging the oocyte. The polar body transcriptome was proposed as a potential tool for the evaluation of oocyte quality in the in vitro fertilization programme [30, 31]. Klatsky et al. tested the hypothesis that mRNA originating from the expression in the meiotic MII oocyte from the in vitro fertilization programme is present and detectable in a single polar body prior to fertilization [30]. In their study immature oocytes from the intracytoplasmic sperm injection (ICSI) programme were cultured overnight and checked on the following day for their maturity. In all MII oocytes polar body biopsy was performed and followed by reverse transcription without RNA isolation. Sibling oocytes were prepared similarly to polar bodies. Then the complementary DNA from all samples was preamplified over 15 cycles for candidate genes using selective primers. Single-cell real-time PCR was performed to detect and quantify relative gene expression. It was important that polar body mRNA was detected for 11 of 12 candidate genes (BCL2L10, ODC1, DPPA3, PADI6, DDX4, AGO2, DROSHA, GAPDH, EIF6, PABP, DICER); interestingly, the oocyte-specific gene H1FOO was not expressed in any single polar body. Transcripts that were present in greater abundance in the single oocytes were also detected in qPCR replicates from single polar bodies. They concluded that preamplification of cDNA synthesized without RNA isolation can facilitate the quantitative detection of mRNA in single human polar bodies. This study was followed by the study by Reich et al. [31] who performed the first gene expression of microarray analyses of polar bodies. They performed a polar body biopsy on mature MII oocytes followed by the single-cell transcriptome analysis of the oocytes and their sibling polar bodies. They then compared over 12,700 mRNAs and miRNAs from the oocyte samples with the 5,431 mRNAs from the sibling polar bodies (5,256 shared mRNAs or 97%, including miRNAs). Their results showed that human polar bodies reflected the oocyte transcript profile. The valuable conclusion from their work is that mRNA detection and quantification through high-throughput quantitative PCR or microarrays could result in the first molecular diagnostics for gene expression profile of MII oocytes. The gene expression profiling of a polar body could enable the molecular diagnostics of oocyte quality in the programme of in vitro fertilization and might become a very important safe tool to evaluate the molecular status of in vitro matured oocytes and improve the clinical outcome of oocyte in vitro maturation in the future.

3.9. Oocyte Gene Expression Profile, Female Age, and Meiotic Aneuploidies

It is known that female fertility and development competence of human oocytes decline with increasing female age and that the proportion of oocytes with genetic abnormalities increased with female ageing. Steuerwald et al. found that the global gene expression profiles in human oocytes are related to female age [32]. Their results confirmed that the expression of oocyte genes related to major functional processes and features, including cell cycle regulation, cytoskeletal structure, energy pathways, transcription control, and stress responses depends on female age. Similarly, Grøndahl et al. analyzed the single mature MII non-fertilized oocytes from two groups of patients—younger (<36 years) and older (37–39 years)—in the in vitro fertilization programme [33]. Based on 15 independent replicates of single MII oocytes, 7,470 genes (10,428 transcripts) were identified in the MII oocytes. Among these genes, 342 were expressed at a significantly different expression level between the two age groups of patients. These genes were found to be involved in cell cycle regulation, chromosome alignment (e.g., MAD2L1 binding protein), sister chromatid separation (e.g., separase), oxidative stress, and ubiquitination. The top signaling network of genes, which was proven to be affected by female age, was “cell cycle and organism development” (e.g., SMAD2 and activin B1 receptor). It was concluded that these genes may be associated with the ageing process and decreased fertility. Advanced female age may be also related to oocyte aneuploidy (the abnormal number of chromosomes). Fragouli et al. confirmed the link between mRNA transcript numbers in oocytes and female age [34]. They combined a comprehensive cytogenetic investigation of 21 oocytes with a detailed assessment of their transcriptome. The first polar body was removed from each oocyte and aneuploidy assessed using comparative genomic hybridization. Then the mRNA transcript data were produced using microarrays for seven oocytes, three normal and four aneuploid. The results showed that 327 genes were differently expressed in both groups of oocytes at statistical significance, and they provided the list of these genes. Ninety-six of these genes were further assessed by RT-PCR. The results confirmed that oocyte aneuploidy was associated with altered transcript levels affecting a subset of genes. They concluded that different transcript levels in normal and aneuploid oocytes may have an impact on cellular pathways, such as meiotic spindle assembly, chromosome alignment, production of cell surface or excretory molecules, and might potentially serve as targets for noninvasive oocyte aneuploidy assessment. This may explain the decline of female fertility and increase in spontaneous abortion with age.

When talking about the oocyte in vitro maturation procedure, it is more appropriate to be applied in younger women because of a higher risk of oocyte genetic abnormalities in older women. Increased female age may be an important contraindication for the oocyte in vitro maturation procedure.

All these new findings provide some new knowledge and better insights into human oocyte quality and oogenesis that might be introduced in clinical practice and might also lead to successful in vitro oogenesis in women with no naturally present oocytes in the future.