The evolution of ovarian somatic cells characterized by transcriptome and chromatin accessibility across rodents, monkeys, and humans

被引:0
|
作者
Zhang, Qiancheng [1 ,2 ,3 ,4 ]
Sun, Fengyuan [1 ,2 ,3 ,4 ]
Zhang, Ruifeng [1 ,2 ,3 ,4 ]
Zhao, Donghong [1 ,2 ,3 ,4 ]
Zhu, Ran [1 ,2 ,3 ,4 ]
Cheng, Xin [1 ,2 ,3 ,4 ]
Long, Xin [1 ,2 ,3 ,4 ]
Hou, Xinling [1 ,2 ,3 ,4 ]
Yan, Rui [1 ,2 ,3 ,4 ]
Cao, Yu [1 ,2 ,3 ,4 ]
Guo, Fan [1 ,2 ,3 ,4 ]
Yan, Long [1 ,2 ,3 ,4 ]
Hu, Yuqiong [1 ,2 ,3 ,4 ]
机构
[1] Chinese Acad Sci, Univ Chinese Acad Sci, Inst Zool, State Key Lab Stem Cell & Reprod Biol, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, Inst Stem Cell & Regenerat, Beijing 100101, Peoples R China
[3] Beijing Inst Stem Cell & Regenerat Med, Beijing 100101, Peoples R China
[4] Chinese Acad Sci, Key Lab Organ Regenerat & Reconstruct, Beijing 100101, Peoples R China
来源
LIFE MEDICINE | 2024年 / 3卷 / 05期
关键词
single-cell multi-omics; ovarian somatic cells; evolutionary conservation and divergence; theca cells; BETA SUPERFAMILY MEMBERS; LUTEINIZING-HORMONE; GENE-EXPRESSION; GRANULOSA-CELLS; DIFFERENTIATION; GROWTH; THECA; FOLLICULOGENESIS; STEROIDOGENESIS; METABOLISM;
D O I
10.1093/lifemedi/lnae028
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
The ovary plays a crucial role in the reproductive system of female mammals by producing mature oocytes through folliculogenesis. Non-human model organisms are extensively utilized in research on human ovarian biology, thus necessitating the investigation of conservation and divergence in molecular mechanisms across species. In this study, we employed integrative single-cell analysis of transcriptome and chromatin accessibility to identify the evolutionary conservation and divergence patterns of ovaries among humans, monkeys, mice, rats, and rabbits. Our analyses revealed that theca cells exhibited the most significant changes during evolution based on scRNA-seq and scATAC-seq datasets. Furthermore, we discovered common cis-regulatory architectures in theca cells across species by conducting joint analyses of scRNA-seq and scATAC-seq datasets. These findings have potential applications in non-human biomedical and genetic research to validate molecular mechanisms found in human organisms. Additionally, our investigation into non-coding genomic regions identified intergenic highly transcribed regions (igHTRs) that may contribute to the evolution of species-specific phenotypic traits. Overall, our study provides valuable insights into understanding the molecular characteristics of adult ovaries while offering new perspectives for studying human ovarian physiology and diseases.
引用
收藏
页数:12
相关论文
共 24 条
  • [21] Single Nuclei Multiomics Analysis of Transcriptional and Chromatin Accessibility of Tumor Cells Uncovers Molecular Signatures and Regulatory Elements of Malignant Clonal Evolution in Multiple Myeloma
    Wanchai, Visanu
    Xu, Hongwei
    Ashby, Cody
    van Rhee, Frits
    Tricot, Guido
    Shaughnessy, John D., Jr.
    Zhan, Fenghuang
    BLOOD, 2023, 142
  • [22] Identification of new ovulation-related genes in humans by comparing the transcriptome of granulosa cells before and after ovulation triggering in the same controlled ovarian stimulation cycle
    Wissing, M. L.
    Kristensen, S. G.
    Andersen, C. Y.
    Mikkelsen, A. L.
    Hst, T.
    Borup, R.
    Grondahl, M. L.
    HUMAN REPRODUCTION, 2014, 29 (05) : 997 - 1010
  • [23] Molecular single-cell analysis reveals that CD5-positive peripheral blood B cells in healthy humans are characterized by rearranged V-kappa genes lacking somatic mutation
    Fischer, M
    Klein, U
    Kuppers, R
    JOURNAL OF CLINICAL INVESTIGATION, 1997, 100 (07): : 1667 - 1676
  • [24] Metabolic signatures of chronic hepatitis C evolution revealed by transcriptome profiling of virus-specific CD8 cells across different stages of HCV infection
    Barili, V.
    Fisicaro, P.
    Montanini, B.
    Acerbi, G.
    Guerrieri, F.
    Orlandini, A.
    Negri, E.
    Mori, C.
    Cavallo, M. C.
    Massari, M.
    Missale, G.
    Levrero, M.
    Ottonello, S.
    Ferrari, C.
    JOURNAL OF HEPATOLOGY, 2017, 66 (01) : S31 - S31