Single-cell RNA sequencing reveals abnormal fluctuations in human eight-cell embryos associated with blastocyst formation failure.
Qi-Long HePeng YuanLu YangZhi-Qiang YanWei ChenYi-Dong ChenSi-Ming KongFu-Chou TangJie QiaoLi-Ying YanPublished in: Molecular human reproduction (2022)
Infertility has become a global health issue, with the number of people suffering from the disease increasing year by year, and ART offering great promise for infertility treatment. However, the regulation of early embryonic development is complicated and a series of processes takes place, including the maternal-to-zygotic transition. In addition, developmental arrest is frequently observed during human early embryonic development. In this study, we performed single-cell RNA sequencing on a biopsied blastomere from human eight-cell embryos and tracked the developmental potential of the remaining cells. To compare the sequencing results between different eight-cell embryos, we have combined the research data of this project with the data previously shared in the database and found that cells from the same embryo showed a higher correlation. Additionally, the transcriptome of embryos with blastocyst formation failure was significantly different from developed embryos, and the gene expression as well as cell signaling pathways related to embryonic development were also altered. In particular, the expression of some maternal and zygotic genes in the failed blastocyst formation group was significantly altered: the overall expression level of maternal genes was significantly higher in the failed blastocyst than the developed blastocyst group. In general, these findings provide clues for the causes of human embryonic arrest after the eight-cell stage, and they also provide new ideas for improving the success rate of ART in clinical practice.
Keyphrases
- single cell
- rna seq
- endothelial cells
- gene expression
- high throughput
- induced pluripotent stem cells
- cell therapy
- clinical practice
- dna methylation
- genome wide
- electronic health record
- signaling pathway
- big data
- hiv infected
- type diabetes
- emergency department
- induced apoptosis
- public health
- birth weight
- stem cells
- adipose tissue
- body mass index
- mesenchymal stem cells
- insulin resistance
- pregnancy outcomes
- cell death
- bone marrow
- weight loss
- long non coding rna
- cell proliferation
- deep learning
- smoking cessation
- combination therapy
- cell cycle arrest
- genome wide identification