Advancing methods for the analysis of glioblastoma cell motion using quantitative time lapse holographic imaging and cellular tomography

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 cellularassociations, and quantifying their motility by standard approaches is difficult. We cultured the cells in a structuredenvironment (wound healing template), separated the X and Y information to define cumulative directionality plotsproviding a metric of the overall cell population movement analyzed by holographic imaging cytometry. With cellulartomography, we obtained 3D time lapse tomographs of cells at 0.2 um resolution, enabling sub-cellular analysis at levelsnot previously possible. Even in label-free cultures, sub-cellular components can be distinguished and color-coded basedon differences of their refractive index values.We discovered that there are numerous mitochondria present, both single and also actively undergoing fission and fusionprocesses. Many thin mitochondrial networks are present within the cytoplasm, and also extending away from the cell intunneling 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 largemulticellular 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-modalityquantitative imaging platforms provide new insights into the cellular dynamics of glioblastoma cells, and the networksthat they form. This knowledge is being applied to the development anti-glioblastoma treatments.