...
首页> 外文期刊>Journal of biomolecular screening: The official journal of the Society for Biomolecular Screening >Multiparametric Phenotypic Screening System for Profiling Bioactive Compounds Using Human Fetal Hippocampal Neural Stem/Progenitor Cells
【24h】

Multiparametric Phenotypic Screening System for Profiling Bioactive Compounds Using Human Fetal Hippocampal Neural Stem/Progenitor Cells

机译:利用人类胎儿海马神经干/祖细胞分析生物活性化合物的多参数表型筛选系统

获取原文
获取原文并翻译 | 示例
           

摘要

Stem cell research has been progressing rapidly, contributing to regenerative biology and regenerative medicine. In this field, small-molecule compounds affecting stem cell proliferation/differentiation have been explored to understand stem cell biology and support regenerative medicine. In this study, we established a multiparametric screening system to detect bioactive compounds affecting the cell fate of human neural stem/progenitor cells (NSCs/NPCs), using human fetal hippocampal NSCs/NPCs, HIP-009 cells. We examined effects of 410 compounds, which were collected based on mechanisms of action (MOAs) and chemotypes, on HIP-009's cell fate (self-renewal, neuronal and astrocytic differentiation) and morphology by automated multiparametric assays and profiled induced cellular phenotypes. We found that this screening classified compounds with the same MOAs into subgroups according to additional pharmacological effects (e.g., mammalian target of rapamycin complex 1 [mTORC1] inhibitors and mTORC1/mTORC2 dual inhibitors among mTOR inhibitors). Moreover, it identified compounds that have off-target effects under matrix analyses of MOAs and structure similarities (e.g., neurotropic effects of amitriptyline among tri- and tetracyclic compounds). Therefore, this automated, medium-throughput and multiparametric screening system is useful for finding compounds that affect the cell fate of human NSCs/NPCs for supporting regenerative medicine and to fingerprint compounds based on human stem cells' multipotency, leading to understanding of stem cell biology.
机译:干细胞研究发展迅速,为再生生物学和再生医学做出了贡献。在该领域,已经探索了影响干细胞增殖/分化的小分子化合物,以了解干细胞生物学并支持再生医学。在这项研究中,我们建立了一个多参数筛选系统,使用人类胎儿海马NSC / NPC,HIP-009细胞来检测影响人类神经干/祖细胞(NSC / NPC)细胞命运的生物活性化合物。我们通过自动多参数分析和诱导型细胞表型,研究了基于作用机理(MOA)和化学型收集的410种化合物对HIP-009细胞命运(自我更新,神经元和星形细胞分化)和形态的影响。我们发现,该筛选根据其他药理作用(例如,雷帕霉素复合物1 [mTORC1]抑制剂和mTORC1 / mTORC2双重抑制剂在mTOR抑制剂中的哺乳动物靶点)将具有相同MOA的化合物分为亚组。此外,它在MOA的基质分析和结构相似性(例如,三环和四环化合物之间的阿米替林的神经营养作用)下鉴定出具有脱靶作用的化合物。因此,这种自动化的中通量多参数筛选系统可用于发现影响人类NSC / NPC细胞命运以支持再生医学的化合物,并基于人类干细胞的多能性对化合物进行指纹识别,从而有助于对干细胞生物学的理解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号