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TOP2B disturbed the quality of human oocytes with advanced maternal age

ABSTRACT: STUDY QUESTION: Does maternal age affect the maturated oocyte quality and the fol-lowing development after fertilization in human? SUMMARY ANSWER: Maternal age affects the quality of maturated oocytes by altering the stored mRNA levels in human, such as TOP2B. WHAT IS KNOWN ALREADY: Intracellular mRNAs in maturated oocytes are tran-scripted from the maternal genome during oogenesis and important for the zygotic genome activation (ZGA) after fertilization. Microarray data showed that maternal age affected polyadenylated transcript abundance in human oocytes. These genes are involved in in signaling pathway related to cell cycle regulation, chromosome alignment. However, which genes are the key genes affected by maternal age and important for the development after fertilization had not been reported. Therefore, single-cell RNA sequencing (scRNA-Seq) technology is employed in this study to screen the key genes affected by maternal age in human maturated oocytes. STUDY DESIGN, SIZE, DURATION: We isolated mRNA from maturated (MII) oo-cytes donated by IVF or ICSI patients (three oocytes from young (≤ 30 years) and three oocytes from advanced maternal age (≥ 40 years) patients) undergoing controlled ovarian stimulation. Thus, a total of six maturated oocytes were individually processed for scRNA-seq analysis. The key genes screened from scRNA-seq analysis are confirmed using mouse model. PARTICIPANTS/MATERIALS, SETTING, METHODS: Patients undergoing infertility treatment at the Yuhuangding Hospital of Yantai underwent ovarian stimulation with FSH and received hCG for final follicular maturation prior to ul-trasound guided oocyte retrieval. We isolated RNA, generated single cell RNA-seq librar-ies (Smart-Seq2) and sequenced by Illumina Hiseq X-ten platform with 150 bp paired-end. Bioinformatics analysis of the sequencing data was done to find the biological processes and key genes that led to the decline in the quality of oocytes with advanced maternal age. To validate the findings, we used mouse model and validated candidate genes by RT-PCR and knockdown experiments. MAIN RESULTS AND THE ROLE OF CHANCE: We identified 1439 genes differentially expressed between older and younger women's maturated oocytes (|foldchange|>2, P < 0.05). These genes are significantly enriched with annotations related to transporter activity, cytoskeleton, oxidative stress, catalytic activity, immune function, cellular senescence and biosynthesis. The key candidate gene TOP2B was found by protein interaction network analysis, and knockdown verification on young mouse maturated oocytes showed that TOP2B was a key gene affecting the oocyte quality and disturbing early embryo development. LARGE SCALE DATA Raw data from this study can be accessed through GSE. LIMITATIONS, REASONS FOR CAUTION: The human maturated oocytes used in this study were from patients with different causes of infertility and may affect oocyte gene expression. In addition, the study was based on a lim-ited number of patients, and there are possible natural biological variance existed in human samples. WIDER IMPLICATIONS OF THE FINDINGS: For the first time, we used scRNA-seq to detect global gene transcriptome of maturated oocytes in young and older women. These results are useful to indicate the molecular mechanisms of female ovary aging and establishing a criterion to evaluate the quality of oocytes in women with advanced maternal age. STUDY FUNDING/COMPETING INTERESTS: This research was supported by the National Key Research and Development Program of China (2018YFC1004304, 2016YFA0100203), Medical and Health Science Technology Development Plan Project of Shandong Province (Grant#. 2017WS566). There are no competing interests.

ORGANISM(S): Homo sapiens

PROVIDER: GSE125300 | GEO | 2019/01/19

REPOSITORIES: GEO

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Project description:Study Question: What effects do maternal age and oocyte maturation stage have on the human oocyte transcriptome that may be associated with oocyte developmental potential? Summary Answer: Although polyadenylated transcript abundance changes during human oocyte maturation irrespective of age, young (YNG) and advanced maternal age (AMA) metaphase II (MII) oocytes exhibit divergent transcriptomes. What is known already: Maternal age and maturation stage affect oocyte polyadenylated transcript abundance in human oocytes. Although RNA-Seq analysis of single human MII oocytes has been conducted, comparison of the germinal vesicle (GV) and MII oocyte transcriptomes has not been investigated using RNA-Seq, a technique that could provide novel insight into oocyte maturation and age-associated aberrations in gene expression. Participants / materials, settings, methods: Patients undergoing infertility treatment at the Colorado Center for Reproductive Medicine (Lone Tree, CO, USA) underwent ovarian stimulation with FSH and received hCG for final follicular maturation prior to ultrasound guided egg retrieval. Unused GV oocytes obtained at retrieval were donated for transcriptome analysis. Single oocytes were stored (at -80°C in PicoPure RNA Extraction Buffer; Thermo Fisher Scientific, USA) immediately upon verification of immaturity or after undergoing in vitro oocyte maturation (24 hour incubation), representing GV and MII samples, respectively. After isolating RNA and generating single oocyte RNA-Seq libraries (SMARTer Ultra Low Input RNA HV kit; Clontech, USA), Illumina sequencing (100 bp paired-end reads in HiSeq 2500) and bioinformatics analysis (CLC Genomics Workbench, DESeq2, Weighted Gene Correlation Network Analysis (WGCNA), 3’UTR motif analysis, Ingenuity Pathway Analysis) were performed. Main results and the role of chance: Within the 12,770 expressed genes in human oocytes (reads per kilobase per million mapped reads (RPKM) > 0.4 in at least 3 of 5 replicates for a minimum of one sample type), 458 and 3,506 genes significantly (adjusted p < 0.05 and log2 fold change > 1) increased and decreased in polyadenylated transcript abundance during oocyte maturation, respectively. The differentially expressed genes were enriched (FDR < 0.05) for biological functions and canonical pathways related to cell cycle and mitochondrial function. The majority (76%) and minority (25%) of up- and down-regulated transcripts with a complete 3’UTR were predicted to be targets of cytoplasmic polyadenylation (910 total genes), respectively. Differential gene expression analysis between young and advanced maternal age oocytes (within stage) identified 1 and 255 genes that significantly differed (adjusted p < 0.1 and log2 fold change > 1) in polyadenylated transcript abundance for GV and MII oocytes, respectively. These genes included CDK1, NLRP5, and PRDX1, which have been reported to affect oocyte developmental potential and be markers of oocyte quality. Despite similarity in transcript abundance between GV oocytes irrespective of age, divergent expression patterns emerged during oocyte maturation. These age-specific differentially expressed genes were enriched (FDR < 0.05) for functions and pathways associated with mitochondria, cell cycle, and cytoskeleton. Gene modules generated by WGCNA (based on gene expression) and patient traits related to oocyte quality (e.g. age and blastocyst development) were determined to be correlated (p < 0.05) and enriched (FDR < 0.05) for functions and pathways associated with oocyte maturation. Limitations, reasons for caution: The human oocytes used in the current study were obtained from patients with varying causes of infertility (e.g. decreased oocyte quality and oocyte quality-independent factors), possibly affecting oocyte gene expression. Oocytes in this study were retrieved at the GV stage following hCG administration and the MII oocytes were derived by in vitro maturation of patient oocytes, which has the benefit of identifying intrinsic differences between samples, but may not be completely representative of in vivo matured oocytes. Thus, these factors should be considered when interpreting the results. Wider Implications of the findings: Transcriptome profiles of young and advanced maternal age oocytes, particularly at the MII stage, suggest aberrant transcript abundance contributes to the age-associated decline in fertility.

Project description:Background: Early embryonic development is governed by maternal transcripts stored within the oocyte during oogenesis. Transcriptional activity of the oocyte ultimately dictates its developmental potential and may be influenced by maternal age, resulting in reduced competence of oocytes derived from women of advanced age, compared with the young. In the current study, RNA-Seq was used to perform transcriptome profiling of human GV and MII oocytes derived from young and advanced maternal age women. Participants/Materials and Methods: Cumulus dissection from donated oocytes was performed. GV and MII oocytes underwent deep RNA sequencing using the SMART-Seq v4 Ultra Low Input RNA protocol (Takara-Clontech, USA) and Nextera XT DNA library preparation kit (Illumina, USA). Data processing, quality assessment and bioinformatics analysis were performed using source-software, including FastQC, HISAT2, StringTie, edgeR and DAVID. Results: Following deep single-cell RNA-Seq on GV and MII oocytes, hundreds of transcripts were significantly differentially expressed between young maternal age (YMA) and advanced maternal age (AMA) groups, with the most significant biological processes relating to mitochondrial reserves. The GV to MII transition shares common biological processes between young and AMA groups, however, some genes involved in mitochondria function were altered during ageing. A decrease in mitochondrial-related transcripts was also observed during the GV to MII transition. However, there was a much greater reduction of mitochondrial-related transcripts in MII oocytes of AMA. This observation was confirmed when YMA MII oocytes were compared with the AMA MII group with mitochondrial-related transcripts being significantly higher expressed in the YMA group, including biological processes, such as mitochondrial electron transport and ATP biosynthetic process. These results indicate a higher energy potential in YMA MII oocytes that is decreased with age. Other significantly higher biological processes in the YMA MII group include transcripts involved in the regulation of ubiquitin-dependent degradation. Lack of these transcripts could lead to a non-appropriate removal of oogenesis remnants following fertilisation in the AMA MII group. Discussion: Understanding reproductive ageing effects at the RNA level in human oocytes may reveal differences in the mechanisms regulating the GV to MII transition that impact on oocyte quality in YMA and AMA patients. Further investigations of the up-/down-regulated transcripts during ageing could guide and improved IVF outcomes for AMA patients.

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TOP2B disturbed the quality of human oocytes with advanced maternal age

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