Vernon LaLone1, Márcio A Mourão2, Theodore J Standiford3, Krishnan Raghavendran4, Kerby Shedden2, Kathleen A Stringer3,5, Gus R Rosania6. 1. Department of Pharmaceutical Sciences, University of Michigan College of Pharmacy, Ann Arbor, Michigan, 48109, USA. 2. Consulting for Statistics, Computing, and Analytics Research (CSCAR) Center, University of Michigan, Ann Arbor, Michigan, 48109, USA. 3. Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, Michigan, 48109, USA. 4. Department of Surgery, University of Michigan Medical Center, Ann Arbor, Michigan, 48109, USA. 5. Department of Clinical Pharmacy, University of Michigan College of Pharmacy, Ann Arbor, Michigan, 48109, USA. 6. Department of Pharmaceutical Sciences, University of Michigan College of Pharmacy, Ann Arbor, Michigan, 48109, USA. grosania@umich.edu.
Abstract
PURPOSE: To improve cytometric phenotyping abilities and better understand cell populations with high interindividual variability, a novel Raman-based microanalysis was developed to characterize macrophages on the basis of chemical composition, specifically to measure and characterize intracellular drug distribution and phase separation in relation to endogenous cellular biomolecules. METHODS: The microanalysis was developed for the commercially-available WiTec alpha300R confocal Raman microscope. Alveolar macrophages were isolated and incubated in the presence of pharmaceutical compounds nilotinib, chloroquine, or etravirine. A Raman data processing algorithm was specifically developed to acquire the Raman signals emitted from single-cells and calculate the signal contributions from each of the major molecular components present in cell samples. RESULTS: Our methodology enabled analysis of the most abundant biochemicals present in typical eukaryotic cells and clearly identified "foamy" lipid-laden macrophages throughout cell populations, indicating feasibility for cellular lipid content analysis in the context of different diseases. Single-cell imaging revealed differences in intracellular distribution behavior for each drug; nilotinib underwent phase separation and self-aggregation while chloroquine and etravirine accumulated primarily via lipid partitioning. CONCLUSIONS: This methodology establishes a versatile cytometric analysis of drug cargo loading in macrophages requiring small numbers of cells with foreseeable applications in toxicology, disease pathology, and drug discovery.
PURPOSE: To improve cytometric phenotyping abilities and better understand cell populations with high interindividual variability, a novel Raman-based microanalysis was developed to characterize macrophages on the basis of chemical composition, specifically to measure and characterize intracellular drug distribution and phase separation in relation to endogenous cellular biomolecules. METHODS: The microanalysis was developed for the commercially-available WiTec alpha300R confocal Raman microscope. Alveolar macrophages were isolated and incubated in the presence of pharmaceutical compounds nilotinib, chloroquine, or etravirine. A Raman data processing algorithm was specifically developed to acquire the Raman signals emitted from single-cells and calculate the signal contributions from each of the major molecular components present in cell samples. RESULTS: Our methodology enabled analysis of the most abundant biochemicals present in typical eukaryotic cells and clearly identified "foamy" lipid-laden macrophages throughout cell populations, indicating feasibility for cellular lipid content analysis in the context of different diseases. Single-cell imaging revealed differences in intracellular distribution behavior for each drug; nilotinib underwent phase separation and self-aggregation while chloroquine and etravirine accumulated primarily via lipid partitioning. CONCLUSIONS: This methodology establishes a versatile cytometric analysis of drug cargo loading in macrophages requiring small numbers of cells with foreseeable applications in toxicology, disease pathology, and drug discovery.
Entities:
Keywords:
confocal Raman microscopy; intracellular drug bioaccumulation; lipid-laden foamy macrophages; pulmonary alveolar macrophages; single-cell chemical imaging
Authors: Freddy Romero; Dilip Shah; Michelle Duong; Raymond B Penn; Michael B Fessler; Jennifer Madenspacher; William Stafstrom; Mani Kavuru; Bo Lu; Caleb B Kallen; Kenneth Walsh; Ross Summer Journal: Am J Respir Cell Mol Biol Date: 2015-07 Impact factor: 6.914
Authors: Vernon LaLone; Maria V Fawaz; Jomar Morales-Mercado; Márcio A Mourão; Catherine S Snyder; Sang Yeop Kim; Andrew P Lieberman; Anish Tuteja; Geeta Mehta; Theodore J Standiford; Krishnan Raghavendran; Kerby Shedden; Anna Schwendeman; Kathleen A Stringer; Gus R Rosania Journal: Analyst Date: 2019-05-22 Impact factor: 4.616