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In order to perpetuate their genetic content, eukaryotic cells have developed a microtubule-based machine known as the mitotic spindle. Independently of the system studied, mitotic spindles share at least one common characteristic--the dynamic nature of microtubules. This property allows the constant plasticity needed to assemble a bipolar structure, make proper kinetochore-microtubule attachments, segregate chromosomes, and finally disassemble the spindle and reform an interphase microtubule array. Here, we describe a variety of experimental approaches currently used in our laboratory to study microtubule dynamics during mitosis using Drosophila melanogaster S2 cells as a model. By using quantitative live cell imaging microscopy in combination with an advantageous labeling background, we illustrate how several cooperative pathways are used to build functional mitotic spindles. We illustrate different ways of perturbing spindle microtubule dynamics, including pharmacological inhibition and RNA interference of proteins that directly or indirectly impair microtubule dynamics. Additionally, we demonstrate the advantage of using fluorescent speckle microscopy to investigate an intrinsic property of spindle microtubules known as poleward flux. Finally, we developed a set of laser microsurgery-based experiments that allow, with unique spatiotemporal resolution, the study of specific spindle structures (e.g., centrosomes, microtubules, and kinetochores) and their respective roles during mitosis.
Microsurgery, Lasers, Fluorescent speckle microscopy, Spindle Apparatus, Models, Theoretical, Microtubule drugs, Microtubules, Laser microsurgery, Cell Line, Kinetics, Live-cell microscopy, Microscopy, Fluorescence, Animals, Drosophila, Protein Multimerization
Microsurgery, Lasers, Fluorescent speckle microscopy, Spindle Apparatus, Models, Theoretical, Microtubule drugs, Microtubules, Laser microsurgery, Cell Line, Kinetics, Live-cell microscopy, Microscopy, Fluorescence, Animals, Drosophila, Protein Multimerization
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influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
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