Department of Chemical and Biomolecular Engineering, University of California, Berkeley, California.
Department of Bioengineering, University of California, Berkeley, California.
Biotechnol Bioeng. 2019 Jan;116(1):193-205. doi: 10.1002/bit.26815. Epub 2018 Nov 6.
Advancing our knowledge of how neural stem cell (NSC) behavior in the adult hippocampus is regulated has implications for elucidating basic mechanisms of learning and memory as well as for neurodegenerative disease therapy. To date, numerous biochemical cues from the endogenous hippocampal NSC niche have been identified as modulators of NSC quiescence, proliferation, and differentiation; however, the complex repertoire of signaling factors within stem cell niches raises the question of how cues act in combination with one another to influence NSC physiology. To help overcome experimental bottlenecks in studying this question, we adapted a high-throughput microculture system, with over 500 distinct microenvironments, to conduct a systematic combinatorial screen of key signaling cues and collect high-content phenotype data on endpoint NSC populations. This novel application of the platform consumed only 0.2% of reagent volumes used in conventional 96-well plates, and resulted in the discovery of numerous statistically significant interactions among key endogenous signals. Antagonistic relationships between fibroblast growth factor 2, transforming growth factor β (TGF-β), and Wnt-3a were found to impact NSC proliferation and differentiation, whereas a synergistic relationship between Wnt-3a and Ephrin-B2 on neuronal differentiation and maturation was found. Furthermore, TGF-β and bone morphogenetic protein 4 combined with Wnt-3a and Ephrin-B2 resulted in a coordinated effect on neuronal differentiation and maturation. Overall, this study offers candidates for further elucidation of significant mechanisms guiding NSC fate choice and contributes strategies for enhancing control over stem cell-based therapies for neurodegenerative diseases.
深入了解成年海马体中的神经干细胞 (NSC) 行为是如何受到调节的,对于阐明学习和记忆的基本机制以及神经退行性疾病的治疗都具有重要意义。迄今为止,已经鉴定出内源性海马体 NSC 龛位中的许多生化线索,这些线索可作为 NSC 静止、增殖和分化的调节剂;然而,干细胞龛位中的复杂信号转导因子谱提出了一个问题,即信号如何相互组合以影响 NSC 生理学。为了帮助克服研究这一问题的实验瓶颈,我们改编了高通量微培养系统,该系统具有 500 多个不同的微环境,以对关键信号转导线索进行系统的组合筛选,并对终点 NSC 群体进行高内涵表型数据分析。该平台的这一新颖应用仅消耗了传统 96 孔板中试剂体积的 0.2%,并发现了许多关键内源性信号之间具有统计学意义的相互作用。发现成纤维细胞生长因子 2 (FGF-2)、转化生长因子 β (TGF-β) 和 Wnt-3a 之间存在拮抗关系,会影响 NSC 的增殖和分化,而 Wnt-3a 和 Ephrin-B2 之间存在协同关系,可促进神经元分化和成熟。此外,TGF-β和骨形态发生蛋白 4 (BMP-4) 与 Wnt-3a 和 Ephrin-B2 联合作用,可对神经元分化和成熟产生协调效应。总的来说,这项研究为进一步阐明指导 NSC 命运选择的重要机制提供了候选者,并为增强基于干细胞的神经退行性疾病治疗的控制提供了策略。