High-Throughput Platform for Identifying Stem Cell Toxicity

用于识别干细胞毒性的高通量平台

• 批准号: 8573021
• 负责人: Jonathan S. Dordick
• 金额: $ 49.3万
• 依托单位: RENSSELAER POLYTECHNIC INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-12-23 至 2015-10-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8573021
• 关键词: Address; Adult; Animals; Astrocytes; Astrocytoma; Biochemical; Biological Assay; Biological Models; Biotechnology; Cell Culture System; Cell Culture Techniques; Cell Differentiation process; Cell Line; Cell Survival; Cells; Chemical Engineering; Chemicals; Development; Drug toxicity; Engineering; Environment; Environmental Health; Evaluation; Exposure to; Extracellular Matrix; Glial Fibrillary Acidic Protein; Goals; Growth; Health; Homeostasis; Human; Human body; Immunofluorescence Immunologic; In Vitro; Individual; MAP Kinase Gene; Mesenchymal Stem Cells; Methods; Nature; Neurons; Organ; Osteocalcin; Outcome; Outcome Study; Pathway interactions; Performance; Pharmaceutical Preparations; Phase; Play; Poison; Property; Research; Resources; Role; Safety; Series; Signal Pathway; Staging; Stem cells; Techniques; Technology; Testing; Tissues; Toxic effect; Toxicology; Transformed Cell Line; Transport Process; Work; adult stem cell; base; biochip; cell behavior; cell type; combinatorial; cytotoxicity; drug candidate; drug discovery; environmental chemical; high throughput screening; human adult stem cell; human stem cells; in vivo; nerve stem cell; nestin protein; response; screening; self-renewal; stem cell biology; stem cell differentiation; stem cell fate; stem cell niche; tool; toxicant

DESCRIPTION (provided by applicant): The characterization and safety assessment of drugs, drug candidates, environmental chemicals, etc. requires extensive resources, particularly when animal studies are employed. Thus, there is a need to develop new in vitro techniques to predict which compounds pose an increased threat to human health and should therefore be prioritized for further screening and evaluation. Because of the critical role self-renewing stem cells play in tissue function and homeostasis, retention of healthy adult stem cells is crucial for human health. Nevertheless, the different responses of human stem cells compared with terminally differentiated cell types (e.g., primary and transformed cell lines) against drugs, drug candidates, and chemicals have been only sparsely studied. Such information would be vital to identify the toxic effects of such chemicals on the human body and in specific organs. We hypothesize that stem cells may behave in a fundamentally different way from the differentiated cells often used for toxicity studies, and we will address this hypothesis through the use of appropriate model systems. An outcome of this study, then, is that toxicity studies must be expanded to include stem cells, or drugs will proceed into trials with missing and even misleading toxicity information. To test this hypothesis, we propose to develop a high-throughput, microscale 3D cell-based screening tool that will enable rapid and highly quantitative information to be obtained on the effects of drugs, drug candidates, and chemical toxicants on human stem cells; specifically neural stem cells (NSCs) in comparison to adult primary and transformed neural cells, and human mesenchymal stem cells (MSCs). The specific aims of the proposed work are to: 1. Establish a robust 3D cell culture chip platform to grow and differentiate NSCs and MSCs; 2. Perform combinatorial in vitro extracellular matrix development; 3. Develop high-throughput on-chip assays of key signaling pathways in NSCs and MSCs that are critical in proliferation (self-renewal) and differentiation; 4. Validate the 3D cell culture microarray platform for cytotoxicity of stem cells in comparison to terminally differentiated primary cells and transformed cell lines using a series of reference compounds. This information is essential for the development of high throughput predictive toxicology screens for drug discovery and the prioritization of environmental chemicals based on their potential human toxicity.

描述（由申请人提供）：药物、候选药物、环境化学品等的表征和安全性评估需要大量资源，特别是在采用动物研究时。因此，需要开发新的体外技术来预测哪些化合物对人类健康构成更大的威胁，因此应优先进行进一步的筛选和评估。由于自我更新干细胞在组织功能和体内平衡中发挥着关键作用，因此保留健康的成体干细胞对于人类健康至关重要。然而，与终末分化细胞类型（例如原代细胞系和转化细胞系）相比，人类干细胞对药物、候选药物和化学品的不同反应的研究很少。这些信息对于确定此类化学物质对人体和特定器官的毒性作用至关重要。我们假设干细胞的行为方式可能与通常用于毒性研究的分化细胞完全不同，我们将通过使用适当的模型系统来解决这一假设。这项研究的一个结果是，毒性研究必须扩大到包括干细胞，否则药物将在缺少甚至误导性毒性信息的情况下进入试验。为了检验这一假设，我们建议开发一种高通量、微型 3D 细胞筛选工具，该工具将能够快速获得关于药物、候选药物和化学毒物对人类干细胞影响的高度定量信息；特别是神经干细胞（NSC）与成人原代和转化神经细胞以及人间充质干细胞（MSC）相比。拟议工作的具体目标是： 1. 建立强大的 3D 细胞培养芯片平台来生长和分化 NSC 和 MSC； 2. 进行体外组合细胞外基质开发； 3. 开发对增殖（自我更新）和分化至关重要的 NSC 和 MSC 关键信号通路的高通量芯片分析； 4. 使用一系列参考化合物，与终末分化的原代细胞和转化细胞系相比，验证 3D 细胞培养微阵列平台的干细胞细胞毒性。 这些信息对于开发用于药物发现的高通量预测毒理学筛选以及根据环境化学品的潜在人类毒性进行优先排序至关重要。