Integrated analysis and systematic characterization of the regulatory network for human germline development

Primordial germ cells (PGCs) are the precursors of germline that are specified at the embryonic stage. Recent studies reveal that humans employ different mechanisms for PGC specification compared with model organisms such as mice. Moreover, the specific regulatory machinery remains largely unexplored, mainly due to the inaccessible nature of this complex biological process in humans. Here, we curate and integrate multi-omics data, including 581 RNA-seq, 54 ATAC-seq, 45 ChIP-seq, and 69 single-cell RNA-seq samples from different stages of human PGC development to recapitulate the precisely controlled and stepwise process, presenting an atlas in the human PGC database (hPGCdb). With these uniformly processed data and integrated analyses, we characterize the potential key transcription factors and regulatory networks governing human germ cell fate. We validate the important roles of some of the key factors in germ cell development by CRISPRi knockdown. We also identify the soma-germline interaction network and discover the involvement of SDC2 and LAMA4 for PGC development, as well as soma-derived NOTCH2 signaling for germ cell differentiation. Taken together, we have built a database for human PGCs (http://43.131.248.15:6882) and demonstrate that hPGCdb enables the identification of the missing pieces of mechanisms governing germline development, including both intrinsic and extrinsic regulatory programs.

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Publication Details

Journal
Journal of genetics and genomics/Journal of Genetics and Genomics
Published
2024-11-19
DOI
https://doi.org/10.1016/j.jgg.2024.11.005
Citations
6
Primary Topic
Animal Genetics and Reproduction
Type
article
Field-Weighted Citation Impact
3.30

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article

Integrated analysis and systematic characterization of the regulatory network for human germline development

Xiaoying Xiao, Qizhe Shao, Lei Hou, Wenyang Liu et al.
6 citations
Journal of genetics and genomics/Journal of Genetics and Genomics
Animal Genetics and Reproduction
3.30
article

Integrated analysis and systematic characterization of the regulatory network for human germline development

Xiaoying Xiao, Qizhe Shao, Lei Hou, Wenyang Liu, Lingling Tong, Min Jin, Robert S. Young, Di Chen, Jiayao Chen, Ziqi Wang, Xia Xiao, Yanxing Wei, Yashi Gu, Yitian Xiao, Jin Jiang, Ya Yu, Zhekai Li, Sisi Xie, Yaxuan Ye
article en
6 citations

Abstract

Primordial germ cells (PGCs) are the precursors of germline that are specified at the embryonic stage. Recent studies reveal that humans employ different mechanisms for PGC specification compared with model organisms such as mice. Moreover, the specific regulatory machinery remains largely unexplored, mainly due to the inaccessible nature of this complex biological process in humans. Here, we curate and integrate multi-omics data, including 581 RNA-seq, 54 ATAC-seq, 45 ChIP-seq, and 69 single-cell RNA-seq samples from different stages of human PGC development to recapitulate the precisely controlled and stepwise process, presenting an atlas in the human PGC database (hPGCdb). With these uniformly processed data and integrated analyses, we characterize the potential key transcription factors and regulatory networks governing human germ cell fate. We validate the important roles of some of the key factors in germ cell development by CRISPRi knockdown. We also identify the soma-germline interaction network and discover the involvement of SDC2 and LAMA4 for PGC development, as well as soma-derived NOTCH2 signaling for germ cell differentiation. Taken together, we have built a database for human PGCs (http://43.131.248.15:6882) and demonstrate that hPGCdb enables the identification of the missing pieces of mechanisms governing germline development, including both intrinsic and extrinsic regulatory programs.

Journal of genetics and genomics/Journal of Genetics and GenomicsVol. 52(2)
Boston University (US), Second Affiliated Hospital of Zhejiang University (CN), Zhejiang University-University of Edinburgh Institute (CN), Southern Medical University (CN)
National Natural Science Foundation of China, Zhejiang University, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 7%
Animal Genetics and Reproduction
3.30
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