TubulinTracker, a Novel In Vitro Reporter Assay to Study Intracellular Microtubule Dynamics, Cell Cycle Progression, and Aneugenicity.
Marit E GeijerNynke MoelijkerGaonan ZhangRemco DerrTorben OsterlundGiel HendriksInger BrandsmaPublished in: Toxicological sciences : an official journal of the Society of Toxicology (2022)
Aneuploidy is characterized by the presence of an abnormal number of chromosomes and is a common hallmark of cancer. However, exposure to aneugenic compounds does not necessarily lead to cancer. Aneugenic compounds are mainly identified using the in vitro micronucleus assay but this assay cannot standardly discriminate between aneugens and clastogens and cannot be used to identify the exact mode-of-action (MOA) of aneugens; tubulin stabilization, tubulin destabilization, or inhibition of mitotic kinases. To improve the classification of aneugenic substances and determine their MOA, we developed and validated the TubulinTracker assay that uses a green fluorescent protein-tagged tubulin reporter cell line to study microtubule stability using flow cytometry. Combining the assay with a DNA stain also enables cell cycle analysis. Substances whose exposure resulted in an accumulation of cells in G2/M phase, combined with increased or decreased tubulin levels, were classified as tubulin poisons. All known tubulin poisons included were classified correctly. Moreover, we correctly classified compounds, including aneugens that did not affect microtubule levels. However, the MOA of aneugens not affecting tubulin stability, such as Aurora kinase inhibitors, could not be identified. Here, we show that the TubulinTracker assay can be used to classify microtubule stabilizing and destabilizing compounds in living cells. This insight into the MOA of aneugenic agents is important, eg, to support a weight-of-evidence approach for risk assessment, and the classification as an aneugen as opposed to a clastogen or mutagen, has a big impact on the assessment.
Keyphrases
- cell cycle
- high throughput
- living cells
- cell proliferation
- risk assessment
- flow cytometry
- machine learning
- crispr cas
- deep learning
- fluorescent probe
- induced apoptosis
- weight loss
- body mass index
- drinking water
- single molecule
- endoplasmic reticulum stress
- oxidative stress
- artificial intelligence
- binding protein
- reactive oxygen species
- weight gain