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人脑类器官的跨站点重现性揭示了一致的细胞类型组成和结构。

Cross-site reproducibility of human cortical organoids reveals consistent cell type composition and architecture.

机构信息

UNC Neuroscience Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.

Center for Cellular and Molecular Therapeutics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.

出版信息

Stem Cell Reports. 2024 Sep 10;19(9):1351-1367. doi: 10.1016/j.stemcr.2024.07.008. Epub 2024 Aug 22.

Abstract

While guided human cortical organoid (hCO) protocols reproducibly generate cortical cell types at one site, variability in hCO phenotypes across sites using a harmonized protocol has not yet been evaluated. To determine the cross-site reproducibility of hCO differentiation, three independent research groups assayed hCOs in multiple differentiation replicates from one induced pluripotent stem cell (iPSC) line using a harmonized miniaturized spinning bioreactor protocol across 3 months. hCOs were mostly cortical progenitor and neuronal cell types in reproducible proportions that were consistently organized in cortical wall-like buds. Cross-site differences were detected in hCO size and expression of metabolism and cellular stress genes. Variability in hCO phenotypes correlated with stem cell gene expression prior to differentiation and technical factors associated with seeding, suggesting iPSC quality and treatment are important for differentiation outcomes. Cross-site reproducibility of hCO cell type proportions and organization encourages future prospective meta-analytic studies modeling neurodevelopmental disorders in hCOs.

摘要

虽然有指导的人类皮质类器官 (hCO) 方案可在一个部位重现生成皮质细胞类型,但使用协调方案的不同部位 hCO 表型的可变性尚未得到评估。为了确定 hCO 分化的跨站点重现性,三个独立的研究小组使用协调的小型旋转生物反应器方案,在 3 个月内对来自一个诱导多能干细胞 (iPSC) 系的多个分化重复进行了 hCO 检测。hCO 大多是皮质祖细胞和神经元细胞类型,其比例具有重现性,并且始终以皮质壁状芽的形式组织。在 hCO 大小和代谢及细胞应激基因的表达方面检测到了跨站点差异。hCO 表型的可变性与分化前干细胞基因表达和与播种相关的技术因素有关,这表明 iPSC 质量和处理对分化结果很重要。hCO 细胞类型比例和组织的跨站点重现性鼓励未来在 hCO 中对神经发育障碍进行前瞻性荟萃分析研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5a13/11411306/a1717aca5ff0/fx1.jpg

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