Paclitaxel
Paclitaxel - Related Videos
08:29
Long-term Live-cell Imaging to Assess Cell Fate in Response to Paclitaxel
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Cited by 9 •
2018
Live-cell imaging provides a wealth of information on single cells or whole populations that is unattainable by fixed cell imaging alone. Here, live-cell imaging protocols to assess cell fate decisions following treatment with the anti-mitotic drug paclitaxel are described.
08:03
Anticancer Efficacy of Photodynamic Therapy with Lung Cancer-Targeted Nanoparticles
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Cited by 7 •
2016
Photodynamic therapy (PDT) is an alternative choice for lung cancer treatment. To increase the therapeutic effect of PDT, lung cancer-targeted nanoparticles combined with chemotherapy were developed. Both in vitro and in vivo anticancer efficacies of PDT with prepared nanoparticles were evaluated.
07:55
Flexural Rigidity Measurements of Biopolymers Using Gliding Assays
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Cited by 2 •
2012
A method to measure the persistence length or flexural rigidity of biopolymers is described. The method uses a kinesin-driven microtubule gliding assay to experimentally determine the persistence length of individual microtubules and is adaptable to actin-based gliding assays.
06:47
Formulation of Diblock Polymeric Nanoparticles through Nanoprecipitation Technique
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Cited by 16 •
2011
This article describes a nanoprecipitation method to synthesize polymer-based nanoparticles using diblock co-polymers. We will discuss the synthesis of diblock co-polymers, the nanoprecipitation technique, and potential applications.
09:12
MISSION LentiPlex Pooled shRNA Library Screening in Mammalian Cells
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Cited by 11 •
2011
Here we use a human LentiPlex pooled library and traditional sequencing methods to identify gene targets promoting cell survival. We demonstrate how to set up and deconvolute a LentiPlex screen and validate the results.
FAQs
Microtubules must undergo controlled assembly and breakdown to support the cell-division process. Paclitaxel research focuses on what happens when this dynamic behavior is restricted, because persistent microtubule stabilization interferes with normal mitosis. This provides a mechanistic framework for studying how altered cell-cycle progression can contribute to selective effects on cancer cells.
When paclitaxel prevents the normal restructuring of microtubules, dividing cells can become arrested during mitosis. Prolonged disruption of this stage is associated with subsequent cancer cell death, making the sequence from microtubule stabilization to mitotic arrest an important outcome for mechanistic studies and treatment research.
Paclitaxel serves as a model compound for examining why cancer responses to treatment may vary or diminish. Researchers can use its established effects on microtubules and cell-cycle regulation as a framework for studying resistance-related changes, helping connect altered drug response with differences in therapeutic effectiveness across cancer research settings.
Formulation research examines how paclitaxel is prepared for therapeutic use, while targeted-delivery studies investigate approaches intended to direct treatment more effectively toward tumors. These strategies are evaluated with the goal of improving response and reducing toxicity, two central considerations when translating paclitaxel research into more useful cancer treatments.
Combination studies assess paclitaxel alongside other treatments to determine whether a broader therapeutic strategy can improve outcomes. Researchers compare responses across treatment conditions and tumor types, using the drug's established effects on cell division as part of the rationale. Such work helps identify contexts in which combined treatment may be more effective than a single approach.
Comparing paclitaxel across tumor types can reveal how consistently its treatment effects translate between cancers and where responses differ. These investigations support evaluation of therapeutic use, formulation choices, and delivery approaches while also providing context for studying cell-cycle regulation and treatment resistance in distinct cancer research models.