Biomechanics and Bioengineering UMR 7338, Université de technologie de Compiègne, CNRS, Centre de Recherche Royallieu CS 60319, Compiègne, 60203 Cedex, France.
Department of Chemical System Engineering, Graduate School of Engineering, University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan.
Mol Omics. 2023 Dec 4;19(10):810-822. doi: 10.1039/d3mo00050h.
Since the identification of four different pancreatic β-cell subtypes and bi-hormomal cells playing a role in the diabetes pathogenesis, the search for models that mimics such cells heterogeneity became a key priority in experimental and clinical diabetology. We investigated the potential of human induced pluripotent stem cells to lead to the development of the different β-cells subtypes in honeycomb microwell-based 3D spheroids. The glucose-stimulated insulin secretion confirmed the spheroids functionality. Then, we performed a single cell RNA sequencing of the spheroids. Using a knowledge-based analysis with a stringency on the pancreatic markers, we extracted the β-cells INS+/UCN3+ subtype (11%; β1-like cells), the INS+/ST8SIA1+/CD9- subtype (3%, β3-like cells) and INS+/CD9+/ST8SIA1-subtype (1%; β2-like cells) consistently with literature findings. We did not detect the INS+/ST8SIA1+/CD9+ cells (β4-like cells). Then, we also identified four bi-hormonal cells subpopulations including δ-like cells (INS+/SST+, 6%), γ-like cells (INS+/PPY+, 3%), α-like-cells (INS+/GCG+, 6%) and ε-like-cells (INS+/GHRL+, 2%). Using data-driven clustering, we extracted four progenitors' subpopulations (with the lower level of INS gene) that included one population highly expressing inhibin genes (INHBA+/INHBB+), one population highly expressing KCNJ3+/TPH1+, one population expressing hepatocyte-like lineage markers (HNF1A+/AFP+), and one population expressing stem-like cell pancreatic progenitor markers (SOX2+/NEUROG3+). Furthermore, among the cycling population we found a large number of REST+ cells and CD9+ cells (CD9+/SPARC+/REST+). Our data confirm that our differentiation leads to large β-cell heterogeneity, which can be used for investigating β-cells plasticity under physiological and pathophysiological conditions.
自从鉴定出四种不同的胰腺β细胞亚型和双激素细胞在糖尿病发病机制中发挥作用以来,寻找能够模拟这种细胞异质性的模型已成为实验和临床糖尿病学的首要任务。我们研究了人诱导多能干细胞在基于蜂窝微井的 3D 球体中发育成不同β细胞亚型的潜力。葡萄糖刺激的胰岛素分泌证实了球体的功能。然后,我们对球体进行了单细胞 RNA 测序。使用基于知识的分析,并对胰腺标记物进行严格筛选,我们提取了 INS+/UCN3+亚型(11%;β1 样细胞)、INS+/ST8SIA1+/CD9-亚型(3%;β3 样细胞)和 INS+/CD9+/ST8SIA1-亚型(1%;β2 样细胞),这与文献中的发现一致。我们没有检测到 INS+/ST8SIA1+/CD9+细胞(β4 样细胞)。然后,我们还鉴定了四个双激素细胞亚群,包括δ样细胞(INS+/SST+,6%)、γ样细胞(INS+/PPY+,3%)、α样细胞(INS+/GCG+,6%)和 ε样细胞(INS+/GHRL+,2%)。使用数据驱动聚类,我们提取了四个祖细胞亚群(INS 基因表达水平较低),其中一个亚群高度表达抑制素基因(INHBA+/INHBB+),一个亚群高度表达 KCNJ3+/TPH1+,一个亚群表达肝细胞样谱系标记物(HNF1A+/AFP+),一个亚群表达干细胞样胰腺祖细胞标记物(SOX2+/NEUROG3+)。此外,在循环细胞群中,我们发现了大量的 REST+细胞和 CD9+细胞(CD9+/SPARC+/REST+)。我们的数据证实,我们的分化导致了大量的β细胞异质性,可以用于研究生理和病理生理条件下β细胞的可塑性。