bioRxivCancer BiologyPreprint
Profiling Glioma Stem Cell Dynamics via 3D-based Cell Cycle Reporter Assays
D. Lubanska, A. Roye-Azar, S. Alrashed, A. Cieslukowski, M. Soliman, A. C. deCarvalho, A. Shamisa, S. Kulkarni, L. Porter
Abstract
Successful containment of unwanted cell cycle progression in tumours such as glioblastoma (GBM) requires targeted therapeutic approaches which rely on understanding cell cycle dynamics in response to microenvironmental stimuli. Glioma Stem Cells (GSCs) can drive tumour initiation, recurrence, therapy resistance, and are often attributed to the heterogeneity and plasticity of GBM. In vitro models using patient-derived GSCs provide a life relevant tool for exploration of complex molecular mechanisms underlying the aggressive characteristics of GBM. Introduction of 3D tissue culture systems permits the study of spatial complexity of the tumour mass and enables control over diverse conditions within the surrounding microenvironment. This chapter demonstrates detailed methods to study spatio-temporal changes to the cell cycle dynamics using available fluorescent cell cycle reporter systems in combination with bioinformatics-based signal intensity and localization analysis. We present a successful approach that investigates the 3D cell cycle dynamics of GSC populations. This approach utilizes GBM neurosphere and organoid cultures, which are assessed over time and under therapeutic pressure. These models can be further explored, manipulated, and customized to serve specific experimental designs.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: clustering
- approach: biophysical modeling
- approach: statistical model
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