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

Joint Authors

Liu, Qiwei
Zhang, Junhui
Wen, Huihui
Feng, Yun
Zhang, Xunyi
Xiang, Huifen
Cao, Yunxia
Tong, Xiaowen
Ji, Yazhong
Xue, Zhigang

Source

BioMed Research International

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-08-01

Country of Publication

Egypt

No. of Pages

8

Main Subjects

Medicine

Abstract EN

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.

American Psychological Association (APA)

Liu, Qiwei& Zhang, Junhui& Wen, Huihui& Feng, Yun& Zhang, Xunyi& Xiang, Huifen…[et al.]. 2018. Analyzing the Transcriptome Profile of Human Cumulus Cells Related to Embryo Quality via RNA Sequencing. BioMed Research International،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130087

Modern Language Association (MLA)

Liu, Qiwei…[et al.]. Analyzing the Transcriptome Profile of Human Cumulus Cells Related to Embryo Quality via RNA Sequencing. BioMed Research International No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1130087

American Medical Association (AMA)

Liu, Qiwei& Zhang, Junhui& Wen, Huihui& Feng, Yun& Zhang, Xunyi& Xiang, Huifen…[et al.]. Analyzing the Transcriptome Profile of Human Cumulus Cells Related to Embryo Quality via RNA Sequencing. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1130087

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1130087