Bio-MAPS: BioMolecular-Array Patterns for Precision Differentiation of Intestinal Stem Cells
Bio-MAPS:用于肠道干细胞精确分化的生物分子阵列模式
基本信息
- 批准号:2033997
- 负责人:
- 金额:$ 51.08万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-07-15 至 2024-06-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Controlling cell differentiation is critical when manufacturing products for tissue engineering and regenerative medicine. In the body, cell differentiation is governed by patterns of biochemical and mechanical features in tissues. Numerous techniques have been proposed to mimic these patterns, but their precision and reproducibility need improvement. In this effort, the research team aims to establish a new technology to build biochemical patterns directing the differentiation of intestinal stem cells, which are important for understanding gastrointestinal function and disease. Differentiated cells will be harvested and used as building blocks to construct models of the gut wall. The results of this effort will transform our understanding of how tissue biochemistry determines cell behaviors in the intestine. This will in turn provide a unique toolbox to formulate new “biomaterial recipes” for manufacturing cells that are “regenerative medicine-ready." To broaden impact, the technological outcomes of this research will be integrated in academic curricula, new tutorials via the Comparative Medicine Institute, and create ad hoc courses on cell production for biotech professionals. The research team will also connect with research and industrial stakeholders at NIIMBL, an institute in the Manufacturing USA network, to evaluate the use of their technology for the engineering of therapeutic cells and tissues.Of paramount interest to tissue engineers is the precise differentiation of stem cells that are utilized as building blocks to construct organoids and microphysiological models for investigating developmental biology, pathology, and drug discovery. The project's approach to cell differentiation materials introduces Bio-Molecular-Array Patterns (Bio-MAPs), i.e., combined 3D gradients of cell signaling factors integrated within polymer matrices via ligand-mediated (non-covalent) adsorption. This concept will be demonstrated for the precision differentiation of multi-potent intestinal stem cells. Accordingly, the project will adopt a biomolecular palette comprising collagen (COL), BMP-2, Wnt-3A, and Jagged-like ligands (which stimulate the Notch pathway), whose intersecting gradients in the intestinal crypt and villus are known to direct cell differentiation. Single-gradient Bio-MAPs (constant collagen plus gradients of laminin, BMP2, or Wnt3) will be developed to correlate Bio-MAP architecture (i.e., concentration and gradients of combined factors) to the adhesion, proliferation, and differentiation of human ISC and subsequent lineages and to identify design rules and patterns that maintain stem-like phenotypes vs. direct differentiation towards secretory (mucus-producing) lineages or absorptive enterocytes. The project will develop complex-gradient Bio-MAPs (COL, BMP-2,Wnt-3, and Jagged-like ligands), where combinations of coherent or opposing signaling factors are utilized as backgrounds against tertiary presentation of Notch-binding ligands - herein, Jagged-like ligand (JLL) - to identify synergistic patterns that direct the differentiation towards quantitatively predictable phenotypic and genotypic outcomes. Complementary analytical and cytological techniques will be coupled to elucidate fundamental synergistic mechanisms of the select signaling factors and their geometric display.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
在制造组织工程和再生医学产品时,控制细胞分化至关重要。在体内,细胞分化受组织中生化和机械特征的模式控制。人们提出了许多技术来模仿这些模式,但它们的精度和再现性需要改进。在这项工作中,研究小组的目标是建立一种新技术来建立指导肠道干细胞分化的生化模式,这对于了解胃肠道功能和疾病非常重要。分化的细胞将被收获并用作构建肠壁模型的构建块。这项努力的结果将改变我们对组织生物化学如何决定肠道细胞行为的理解。这反过来又将提供一个独特的工具箱来制定新的“生物材料配方”,用于制造“再生医学就绪”的细胞。为了扩大影响,这项研究的技术成果将被纳入学术课程、比较医学研究所的新教程,并为生物技术专业人员创建有关细胞生产的特别课程。研究团队还将与美国制造网络研究所 NIIMBL 的研究和工业利益相关者联系,评估他们的技术在治疗性细胞和组织工程中的使用情况。组织工程师最感兴趣的是干细胞的精确分化,干细胞被用作构建类器官和微生理模型的基石,用于研究发育生物学、病理学和药物发现。该项目的细胞分化材料方法引入了生物分子阵列模式(Bio-MAP),即通过配体介导(非共价)吸附将细胞信号因子的组合 3D 梯度集成到聚合物基质中。这一概念将在多能肠道干细胞的精确分化中得到证实。因此,该项目将采用由胶原蛋白 (COL)、BMP-2、Wnt-3A 和锯齿状配体(刺激 Notch 通路)组成的生物分子调色板,已知其在肠隐窝和绒毛中的交叉梯度可指导细胞分化。将开发单梯度 Bio-MAP(恒定胶原蛋白加上层粘连蛋白、BMP2 或 Wnt3 的梯度),以将 Bio-MAP 架构(即组合因子的浓度和梯度)与人类 ISC 和后续谱系的粘附、增殖和分化相关联,并确定维持茎样表型与直接分化为分泌(产生粘液)的设计规则和模式 谱系或吸收性肠细胞。该项目将开发复杂梯度 Bio-MAP(COL、BMP-2、Wnt-3 和锯齿状配体),其中连贯或相反的信号传导因子的组合被用作 Notch 结合配体(本文为锯齿状配体(JLL))三级呈递的背景,以识别协同模式,将分化导向可定量预测的表型和 基因型结果。互补的分析和细胞学技术将结合起来,阐明所选信号因子及其几何显示的基本协同机制。该奖项反映了 NSF 的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Michael Daniele其他文献
Evaluating Bacterial Nanocellulose Interfaces for Recording Surface Biopotentials from Plants
评估细菌纳米纤维素界面以记录植物表面生物电势
- DOI:
10.3390/s24072335 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
J. Reynolds;Michael D. Wilkins;Devon Martin;Matt Taggart;Kristina R. Rivera;Meral Tunc;Thomas Rufty;Edgar J. Lobaton;Alper Bozkurt;Michael Daniele - 通讯作者:
Michael Daniele
The continuous 3 month operation of open circuit potential based glucose sensor employing direct electron transfer type FAD dependent glucose dehydrogenase
采用直接电子转移型 FAD 依赖性葡萄糖脱氢酶的基于开路电位的葡萄糖传感器的连续运行 3 个月
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Inyoung Lee;Junko Okuda-Shimazaki;Wakako Tsugawa;Kazunori Ikebukuro;Jeffrey E. Dick;Michael Daniele;Koji Sode - 通讯作者:
Koji Sode
Michael Daniele的其他文献
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{{ truncateString('Michael Daniele', 18)}}的其他基金
ASCENT: Reconfigurable Metal-Free Microsystems with Alternative Power Sources
ASCENT:具有替代电源的可重构无金属微系统
- 批准号:
2231012 - 财政年份:2022
- 资助金额:
$ 51.08万 - 项目类别:
Standard Grant
CAREER: Reconfigurable Microfluidic-Microbalance Sensors to Monitor and Optimize the Performance of Microphysiological Models
职业:可重构微流体-微平衡传感器,用于监测和优化微生理模型的性能
- 批准号:
1846911 - 财政年份:2019
- 资助金额:
$ 51.08万 - 项目类别:
Continuing Grant
NSF Workshop on Reconfigurable Sensor Systems Integrated with Artificial Intelligence and Data Harnessing to Enable Personalized Medicine
NSF 研讨会:可重构传感器系统与人工智能和数据利用相结合,实现个性化医疗
- 批准号:
1842348 - 财政年份:2018
- 资助金额:
$ 51.08万 - 项目类别:
Standard Grant
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