Phenotypic profiling of Raf inhibitors and mitochondrial toxicity in 3D tissue using biodynamic imaging

Ran An1, Dan Merrill, Larisa Avramova

  • 11Purdue University, West Lafayette, IN, USA.

Insights

Biodynamic imaging using tissue dynamics spectroscopy (TDS) captures drug responses in 3D tissues. While correlating with 2D cell culture analysis, significant differences highlight the importance of 3D models in drug screening.

Area of Science:

  • Biophysics
  • Pharmacology
  • Cancer Research

Background:

  • Phenotypic differences in drug responses between 3D tissue and 2D cell cultures pose challenges for high-content drug screening.
  • Biodynamic imaging, utilizing short-coherence dynamic light scattering, offers a novel method to assess intracellular dynamics within 3D tissues in their native microenvironments.

Purpose of the Study:

  • To correlate information from biodynamic imaging, presented as tissue dynamics spectroscopy (TDS), with conventional morphological image analysis of 2D cell cultures.
  • To evaluate the ability of dynamic measurements to capture phenotypic drug responses and identify discrepancies between 2D and 3D models.

Main Methods:

  • Mitochondria-affecting compounds and Raf kinase inhibitors were applied to multicellular tumor spheroids from HT-29 and DLD-1 colon adenocarcinoma cell lines.
  • Tissues were screened using TDS and results were compared against image-based high-content analysis (HCA).
  • Drug responses were analyzed, considering cell line-specific differences related to Braf/Kras mutations.

Main Results:

  • A correlation was observed between TDS and HCA phenotypic clustering for most drug treatments, validating dynamic measurements' capacity to reflect drug effects.
  • Responses to specific Raf inhibitors (PLX4032, PLX4720) were distinct between cell lines, linked to their Braf/Kras genetic profiles.
  • Significant phenotypic differences were identified between 2D and 3D models for several drug-cell line combinations.

Conclusions:

  • Biodynamic imaging and TDS show promise in capturing cellular responses to drugs within 3D tissue models.
  • The study confirms the utility of dynamic measurements in drug screening but underscores critical phenotypic variations between 2D and 3D culture systems.
  • These findings emphasize the necessity of employing 3D tissue models for accurate prediction of drug efficacy and patient outcomes.

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