Publications by authors named "Julie C McIntosh"

Article Synopsis
  • Cellular viability measurements are important for assessing the effects of drugs or toxins on cell proliferation and toxicity, but direct methods can be challenging when working with 3D cell structures.
  • Different indirect viability assays, while easier to perform, may lack accuracy due to the complex environments in tissue-like cultures.
  • The study evaluates five indirect viability assays, highlighting their strengths and weaknesses, particularly in the context of hypoxia, which can significantly impact viability measurements.
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3D paper-based cultures (PBCs) are easy-to-use and provide a biologically representative microenvironment. By stacking a sheet of cell-laden paper below sheets containing cell-free hydrogel, we form an assay capable of segmenting cells by the distance they invaded from the original cell-seeded layer. These invasion assays are limited to end-point analyses with fluorescence-based readouts due to the highly scattering nature of the paper scaffolds.

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Many potential chemotherapeutics fail to reach patients. One of the key reasons is that compounds are tested during the drug discovery stage in two-dimensional (2D) cell cultures, which are often unable to accurately model in vivo outcomes. Three-dimensional (3D) in vitro tumor models are more predictive of chemotherapeutic effectiveness than 2D cultures, and thus, their implementation during the drug screening stage has the potential to more accurately evaluate compounds earlier, saving both time and money.

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The health risks associated with acute and prolonged exposure to estrogen receptor (ER) modulators has led to a concerted effort to identify and prioritize potential disruptors present in the environment. ER agonists and antagonists are identified with end-point assays, quantifying changes in cellular proliferation or gene transactivation in monolayers of estrogen receptor alpha expressing (ER+) cells upon exposure. While these monolayer cultures can be prepared, dosed, and analyzed in a highly parallelized manner, they are unable to predict the potencies of ER modulators in vivo accurately.

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During drug development, large libraries of new chemical entities (NCEs) are generated and undergo in vitro screens of metabolism and cytotoxicity. These screens are heavily relied upon to select lead compounds with the highest chance of success in pre-clinical studies and clinical trials, but suffer from limited in vivo predictive power despite using human liver-derived components. There is a need for new assays that utilize smaller reagent volumes to reduce the cost of these high-throughput screens; better mimic the liver environment; and ultimately account for toxicities in other major organ systems.

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