Dataset Information

Single-cell quantitative proteomic analysis of oocyte maturation revealed high heterogeneities in human in vitro matured oocytes

ABSTRACT: In this study we investigated the protein expression patterns during human oocyte in vitro and in vivo maturation (IVO) by single-cell quantitative proteomic analysis of 36 human oocytes. Among 2,094 proteins quantified in 34 oocytes (GV: 11 oocytes, IVM: 12 oocytes, IVO: 11 oocytes), 224 were differential between IVO and GV oocytes during in vivo maturation, and 61 between IVM and IVO oocytes.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Oocyte

SUBMITTER: Xiaofei Liu

LAB HEAD: Xuejiang Guo

PROVIDER: PXD023366 | Pride | 2022-08-02

REPOSITORIES: Pride

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Publications

Single-Cell Quantitative Proteomic Analysis of Human Oocyte Maturation Revealed High Heterogeneity in In Vitro-Matured Oocytes.

Guo Yueshuai Y Cai Lingbo L Liu Xiaofei X Ma Long L Zhang Hao H Wang Bing B Qi Yaling Y Liu Jiayin J Diao Feiyang F Sha Jiahao J Guo Xuejiang X

Molecular & cellular proteomics : MCP 20220707 8

Oocyte maturation is pertinent to the success of in vitro maturation (IVM), which is used to overcome female infertility, and produced over 5000 live births worldwide. However, the quality of human IVM oocytes has not been investigated at single-cell proteome level. Here, we quantified 2094 proteins in human oocytes during in vitro and in vivo maturation (IVO) by single-cell proteomic analysis and identified 176 differential proteins between IVO and germinal vesicle oocytes and 45 between IVM an ...[more]

PMID: 35809850

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Project description:Purpose: The goal of this study was to identify differentially expressed genes and pathways between the cumulus of compact/unstimulated cumulus-oocyte-complex (COC) and the cumulus of expanded/stimulated COC. Methods: mRNA profiles of Compact/unstimulated cumulus cells (CCs) from germinal vesicle (GV) COC obtained from two patients undergoing unstimulated IVM procedure and expanded/stimulated CCs from metaphase 2 (MII) COC obtained from three patients undergoing IVF/ICSI were generated by deep sequencing using Illumina HiSeq 2000. The sequence reads that passed quality filters were mapped to the human genome (hg19) using Tophat software. Differential expression analysis was done using DESeq bioconductor package. qRT–PCR validation was performed using SYBR Green assays. Results: A total of 40-80 million sequence reads per sample were mapped to the human genome (hg19). A total of 1746 differentially expressed genes between compact and expanded CCs with fold change > 2, and adjusted p value < 0.05 were identified. Gene ontology analysis of differentially expressed genes revealed a number of cellular processes regulated during the periovulatory interval including cellular movement, inflammatory response, immune cell trafficking, tissue development, lipid metabolism, tissue morphology, DNA replication and cell cycle. A total of 116 of the differentially expressed genes were annotated as long non-coding RNAs, 10 of them coded from introns of genes known to be involved in granulosa cell processes suggesting that unique non coding RNA transcripts may contribute to the regulation of cumulus expansion and oocyte maturation. Results were validated using qRT-PCR. Conclusions: Using global transcriptome sequencing we identified new important genes and non coding RNAs involved in COC maturation and cumulus expansion, which may contribute to improve the process of in vitro maturation of immature oocytes utilized in IVM cycles mRNA profiles of Compact/unstimulated cumulus cells (CCs) from germinal vesicle (GV) COC obtained from two patients undergoing unstimulated IVM procedure and expanded/stimulated CCs from metaphase 2 (MII) COC obtained from three patients undergoing IVF/ICSI were generated by deep sequencing using Illumina HiSeq 2000.

Dataset Information

Single-cell quantitative proteomic analysis of oocyte maturation revealed high heterogeneities in human in vitro matured oocytes

Publications

Single-Cell Quantitative Proteomic Analysis of Human Oocyte Maturation Revealed High Heterogeneity in In Vitro-Matured Oocytes.

Similar Datasets

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