4.2 Article

Analyzing the Transcriptome Profile of Human Cumulus Cells Related to Embryo Quality via RNA Sequencing

Journal

BIOMED RESEARCH INTERNATIONAL
Volume 2018, Issue -, Pages -

Publisher

HINDAWI LTD
DOI: 10.1155/2018/9846274

Keywords

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Funding

  1. National Natural Science Foundation of China [81430026, 81771651]
  2. National Key Research and Development Plan [2016YFC1000208, 2017YFC1001301]
  3. Science and Technology Commission of Shanghai Municipality [16JC1404700]
  4. Jiangsu Science and Technology Planning Project [BM2014052]
  5. Guangxi Science and Technology Planning Project [14251001]
  6. Development and Reform Commission of Hunan Province Plan [2060403]

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Selecting excellent oocytes is required to improve the outcomes of in vitro fertilization (IVF). Cumulus cells (CCs) are an integral part of the oocyte maturation process. Therefore, we sought to identify differentially expressed genes in CCs to assess oocyte quality and embryo development potential. We divided the participants' embryos into the high-quality embryo group and low-quality embryo group by the information including age, body mass index, and the levels of luteinizing hormone, follicle-stimulating hormone, estradiol, and progesterone. We analyzed a total of 7 CC samples after the quality control in RNA sequencing. We found that 2499 genes were unregulated and 5739 genes were downregulated in high-quality embryo group compared to the low-quality embryo group (Padj < 0.05). Interestingly, MSTN, CTGF, NDUFA1, VCAN, SCD5, and STAR were significantly associated with the quality of embryo. In accordance with the results of RNA sequencing, the association of the expression levels of MSTN, CTGF, NDUFA1, VCAN, SCD5, and STAR with the embryo quality was verified by quantitative reverse-transcription polymerase chain reaction (RT-qPCR) in 50 CC samples. Despite the small sample size and lack of validation in animal models, our study supports the fact that differential gene expression profile of human CCs, including MSTN, CTGF, NDUFA1, VCAN, SCD5, and STAR, can serve as potential indicator for embryo quality.

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