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Identification and Functional Analysis of Transcriptome Profiles, Long Non-Coding RNAs, Single-Nucleotide Polymorphisms, and Alternative Splicing from the Oocyte to the Preimplantation Stage of Sheep by Single-Cell RNA Sequencing

文献类型： 外文期刊

作者： Zhang, Zijing 1 ; Shi, Qiaoting 1 ; Zhu, Xiaoting 1 ; Jin, Lei 1 ; Lang, Limin 1 ; Lyu, Shijie 1 ; Xin, Xiaoling 1 ; Huang, Yongzhen 2 ; Yu, Xiang 3 ; Li, Zhiming 4 ; Chen, Sujuan 5 ; Xu, Zhaoxue 1 ; Zhang, Wei 6 ; Wang, Eryao 1 ;

作者机构： 1.Henan Acad Agr Sci, Inst Anim Husb & Vet Sci, 116 Hua Yuan Rd, Zhengzhou 450002, Peoples R China

2.Northwest A&F Univ, Coll Anim Sci & Technol, Yangling 712100, Peoples R China

3.Henan Anim Hlth Supervis Inst, Zhengzhou 450003, Peoples R China

4.Henan Prov Anim Husb Gen Stn, Zhengzhou 450008, Peoples R China

5.Xinxiang Med Univ, Sch Sci & Technol, Synthet Biol Engn Lab Henan Prov, Xinxiang 453003, Peoples R China

6.Henan Inst Sci & Technol, Coll Anim Sci & Vet Med, Xinxiang, Peoples R China

关键词： transcriptome profiles; long non-coding RNAs; single-nucleotide polymorphisms; alternative splicing; sheep; preimplantation; single-cell RNA sequencing

期刊名称：GENES （ 影响因子：3.5； 五年影响因子：3.9 ）

ISSN：

年卷期： 2023 年 14 卷 6 期

页码：

收录情况： SCI

摘要： Numerous dynamic and complicated processes characterize development from the oocyte to the embryo. However, given the importance of functional transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms, and alternative splicing during embryonic development, the effect that these features have on the blastomeres of 2-, 4-, 8-, 16-cell, and morula stages of development has not been studied. Here, we carried out experiments to identify and functionally analyze the transcriptome profiles, long non-coding RNAs, single-nucleotide polymorphisms (SNPs), and alternative splicing (AS) of cells from sheep from the oocyte to the blastocyst developmental stages. We found between the oocyte and zygote groups significantly down-regulated genes and the second-largest change in gene expression occurred between the 8- and 16-cell stages. We used various methods to construct a profile to characterize cellular and molecular features and systematically analyze the related GO and KEGG profile of cells of all stages from the oocyte to the blastocyst. This large-scale, single-cell atlas provides key cellular information and will likely assist clinical studies in improving preimplantation genetic diagnosis.

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