Hydrogel-enabled self-assembled human brain organoids for neurotoxicity applications

用于神经毒性应用的水凝胶自组装人脑类器官

基本信息

  • 批准号:
    10374175
  • 负责人:
  • 金额:
    $ 78.35万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-05-15 至 2024-02-29
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract There is a critical need to move advanced Central Nervous System (CNS) models into screening applications for drug discovery and toxicology applications. Current in vitro models do not accurately reflect the complexity of cell types and important cell-cell interactions and animal models fail to recapitulate the human condition. There is also a great need for more accurate and scalable models for developmental neurotoxicity screenings as there are 86,405 compounds listed on the Toxic Substance Control Act inventory17 with little biological data to understand their risks. Recent advances in stem-cell derived neural organoids have led to use of these models to study developmental mechanisms, infectious diseases, and toxicology applications (18-26 and reviewed in27-29), but their cost, complexity, and workflow requirements make them challenging to transition to screening applications. Work performed in our successful Phase I activities at Stem Pharm with iPSC-derived precursor and differentiated cells has demonstrated that complex neural organoids containing a variety of neural subtypes can be developed reproducibly in a 96-well plate on engineered hydrogel substrates. Unlike organoids cultured in suspension systems, these organoids can be formed, cultured, and assayed in multi-well plates. RNA-seq analysis demonstrated high intraclass correlation and low coefficients of variation. Importantly, we demonstrated incorporation of microglia into the organoids and demonstrated their activation as a model of neural inflammation as well as their activation or depletion in response to compound treatment. In order to bring this novel model to the market we propose the following specific aims for the Phase II proposal: 1) To optimize timing and seeding densities with cells derived from a single iPSC-donor source, optimize incorporation of microglia to maintain robust activation signatures but decrease cost and maintain data integrity. To compare a less-costly transcriptional read-out, the TempO-Seq S1500 human panel, to our RNA-seq data obtained in Phase I activities and to validate a qPCR panel for product release quality control. 2) To validate organoids generated on our thin hydrogel coatings to enable better imaging options, microelectrode array analysis and liquid handling automation and 3) Validate multiplexed assays to assess multiple responses in single wells including MEA analysis, cytokine and LDH release and harvest for transcript or protein analysis. This work will lead to the first commercially available neural organoid containing vascular cells and microglia with broad applicability in both toxicology and drug discovery markets. .
项目总结/文摘

项目成果

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Connie S Lebakken其他文献

Connie S Lebakken的其他文献

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{{ truncateString('Connie S Lebakken', 18)}}的其他基金

Neural organoid models of the immunological microenvironment of glioblastoma for drug discovery applications
用于药物发现应用的胶质母细胞瘤免疫微环境的神经类器官模型
  • 批准号:
    10761235
  • 财政年份:
    2023
  • 资助金额:
    $ 78.35万
  • 项目类别:
Human Neural Organoid Modeling of Alzheimer's Disease Neuroinflammation for Drug Discovery
阿尔茨海默病神经炎症的人类神经类器官模型用于药物发现
  • 批准号:
    10758939
  • 财政年份:
    2023
  • 资助金额:
    $ 78.35万
  • 项目类别:
Hydrogel-enabled self-assembled human brain organoids for neurotoxicity applications
用于神经毒性应用的水凝胶自组装人脑类器官
  • 批准号:
    10259033
  • 财政年份:
    2019
  • 资助金额:
    $ 78.35万
  • 项目类别:
Synthetic hydrogels for biomanufacturing of iPSC-derived neural cells for precision medicine
用于精准医学 iPSC 衍生神经细胞生物制造的合成水凝胶
  • 批准号:
    10237392
  • 财政年份:
    2018
  • 资助金额:
    $ 78.35万
  • 项目类别:
Synthetic hydrogels for biomanufacturing of iPSC-derived neural cells for precision medicine
用于精准医学 iPSC 衍生神经细胞生物制造的合成水凝胶
  • 批准号:
    10081193
  • 财政年份:
    2018
  • 资助金额:
    $ 78.35万
  • 项目类别:

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