Advancing methods for the analysis of glioblastoma cell motion using quantitative time lapse holographic imaging and cellular tomography 机翻标题: 暂无翻译,请尝试点击翻译按钮。

会议集名/来源
Imaging, manipulation, and analysis of biomolecules, cells, and tissues XVII :
出版年
2019
页码
108810Q.1-108810Q.16
会议地点
San Francisco
作者单位
Department of Pharmaceutical Sciences Northeastern University, Boston MA Imaging Cytometry Core Facility Northeastern University, Boston MACenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston MACenter for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston MADepartment of Pharmaceutical Sciences Northeastern University, Boston MADepartment of Pharmaceutical Sciences Northeastern University, Boston MA Center for Pharmaceutical Biotechnology and Nanomedicine, Northeastern University, Boston MA
作者
Ed Luther;Livia Mendes;Nina Filipczak;Aditi Jhaveri;Lara Milanea;Vladimir Torchilin
摘要
Glioblastomas are brain cancers with very poor patient prognosis. We have developed a Glioblastoma U87 MR model, using 4-dimensional imaging in multi-day tracking experiments. The cells have a tendency to form long-term cellular associations, and quantifying their motility by standard approaches is difficult. We cultured the cells in a structured environment (wound healing template), separated the X and Y information to define cumulative directionality plots providing a metric of the overall cell population movement analyzed by holographic imaging cytometry. With cellular tomography, we obtained 3D time lapse tomographs of cells at 0.2 um resolution, enabling sub-cellular analysis at levels not previously possible. Even in label-free cultures, sub-cellular components can be distinguished and color-coded based on differences of their refractive index values. We discovered that there are numerous mitochondria present, both single and also actively undergoing fission and fusion processes. Many thin mitochondrial networks are present within the cytoplasm, and also extending away from the cell in tunneling nanotubes. There is fusion of these networks to form larger structures that form connections between cells. Substances can be seen moving bi-directionally between cells. After several days of culture, the cells form large multicellular and highly connected spheroids. This is evident in widefield stitched images of the spheroids. While the tendency of U87 cells to form spheroids was previously known, the combined results from our multi-modality quantitative imaging platforms provide new insights into the cellular dynamics of glioblastoma cells, and the networks that they form. This knowledge is being applied to the development anti-glioblastoma treatments.
机翻摘要
暂无翻译结果,您可以尝试点击头部的翻译按钮。
若您需要申请原文,请登录。

最新评论

暂无评论。

登录后可以发表评论

意见反馈
返回顶部