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首页> 外文期刊>Cell stem cell >High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping
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High-Throughput Screening Enhances Kidney Organoid Differentiation from Human Pluripotent Stem Cells and Enables Automated Multidimensional Phenotyping

机译:高通量筛选增强来自人多能干细胞的肾单体细胞体分化,使自动多维表型进行自动化

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摘要

Organoids derived from human pluripotent stem cells are a potentially powerful tool for high-throughput screening (HTS), but the complexity of organoid cultures poses a significant challenge for miniaturization and automation. Here, we present a fully automated, HTS-compatible platform for enhanced differentiation and phenotyping of human kidney organoids. The entire 21-day protocol, from plating to differentiation to analysis, can be performed automatically by liquid-handling robots, or alternatively by manual pipetting. High-content imaging analysis reveals both dose-dependent and threshold effects during organoid differentiation. Immunofluorescence and single-cell RNA sequencing identify previously undetected parietal, interstitial, and partially differentiated compartments within organoids and define conditions that greatly expand the vascular endothelium. Chemical modulation of toxicity and disease phenotypes can be quantified for safety and efficacy prediction. Screening in gene-edited organoids in this system reveals an unexpected role for myosin in polycystic kidney disease. Organoids in HTS formats thus establish an attractive platform for multidimensional phenotypic screening.
机译:来自人多能干细胞的有机体是一种用于高通量筛选(HTS)的潜在强大的工具,但有机纤维培养物的复杂性对小型化和自动化构成了重大挑战。在这里,我们提供了一种全自动,HTS兼容平台,用于增强人肾单体的分化和表型。从电镀到分化的整个21天协议可以通过液体处理机器人自动进行,或者通过手动移液自动进行。高含量的成像分析显示有机体分化期间的剂量依赖性和阈值效应。免疫荧光和单细胞RNA测序鉴定有机体内的先前未检测到的间质和部分分化的隔室,并限定了大大扩展血管内皮的条件。毒性和疾病表型的化学调制可以量化安全性和功效预测。在该系统中的基因编辑的有机体中筛选揭示了肌蛋白在多囊肾疾病中的意外作用。因此,HTS格式以HTS格式为具有型多维表型筛选的有吸引力平台。

著录项

  • 来源
    《Cell stem cell》 |2018年第6期|共12页
  • 作者单位

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Internal Medicine Division of Nephrology University of Michigan Medical School;

    Department of Computational Medicine and Bioinformatics University of Michigan Medical School;

    Institute for Stem Cell and Regenerative Medicine and Quellos High Throughput Screening Core;

    Department of Internal Medicine Division of Nephrology University of Michigan Medical School;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Institute for Stem Cell and Regenerative Medicine and Quellos High Throughput Screening Core;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Institute for Stem Cell and Regenerative Medicine and Quellos High Throughput Screening Core;

    Department of Internal Medicine Division of Nephrology University of Michigan Medical School;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Institute for Stem Cell and Regenerative Medicine and Quellos High Throughput Screening Core;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

    Department of Medicine Division of Nephrology University of Washington School of Medicine;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 细胞生物学;
  • 关键词

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