The pancreatic islet contains multiple hormone+ endocrine lineages (α, β, δ, PP and ε cells), but the developmental processes that underlie endocrinogenesis are poorly understood. Here, we generated novel mouse lines and combined them with various genetic tools to enrich all types of hormone+ cells for well-based deep single-cell RNA sequencing (scRNA-seq), and gene coexpression networks were extracted from the generated data for the optimization of high-throughput droplet-based scRNA-seq analyses. These analyses defined an entire endocrinogenesis pathway in which different states of endocrine progenitor (EP) cells sequentially differentiate into specific endocrine lineages in mice. Subpopulations of the EP cells at the final stage (EP4early and EP4late) show different potentials for distinct endocrine lineages. ε cells and an intermediate cell population were identified as distinct progenitors that independently generate both α and PP cells. Single-cell analyses were also performed to delineate the human pancreatic endocrinogenesis process. Although the developmental trajectory of pancreatic lineages is generally conserved between humans and mice, clear interspecies differences, including differences in the proportions of cell types and the regulatory networks associated with the differentiation of specific lineages, have been detected. Our findings support a model in which sequential transient progenitor cell states determine the differentiation of multiple cell lineages and provide a blueprint for directing the generation of pancreatic islets in vitro.
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The mouse RNA-seq data from this publication have been deposited to the Gene Expression Omnibus (GEO) and assigned the identifier GSE139627. The human RNA-seq expression matrix data from this publication have been deposited to the OMix (https://bigd.big.ac.cn/omix/) and assigned the identifier OMIX236.
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We thank Drs. Chris Wright, Zemin Zhang, Ge Gao and members of the Xu laboratory for the advice and comments. We thank Nurse Jianrong Tian for the assistance with human embryo collection. We also thank the Peking-Tsinghua Center for Life Science High Performance Computing Platform, the Flow Cytometry Core at the National Center for Protein Sciences at Peking University, particularly Ms. Fei Wang, Ms. Yinghua Guo and Ms. Hongxia Lv for the technical help, and the Core Facilities at the School of Life Sciences of Peking University, particularly Ms. Siying Qin for the technical help and Mr. Ming Du for the assistance with imaging. This work was supported by the National Key R&D Program of China (2019YFA0801500 to C.-R.X.), the Ministry of Science and Technology of China (2015CB942800 to C.-R.X.), the National Natural Science Foundation of China (32030034, 91753138, and 31521004 to C.-R.X. and 32000566 to X.-X.Y.), funding from the Peking-Tsinghua Center for Life Sciences to C.-R. X, and the China Postdoctoral Science Foundation (BX20190009 to X.-X.Y. and 2020TQ0018 to W.-L.Q.).
The authors declare no competing interests.
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Yu, XX., Qiu, WL., Yang, L. et al. Sequential progenitor states mark the generation of pancreatic endocrine lineages in mice and humans. Cell Res (2021). https://doi.org/10.1038/s41422-021-00486-w