השוואת שיטות

	ניתוח ציטומטריית זרימה	מבחן חדירות תאי Caco-2	מידול פרמקודנמי של אוכלוסיות
תחום	פרמקולוגיה	פרמקולוגיה	פרמקולוגיה
משפחה	Process / pipeline	Process / pipeline	Process / pipeline
שנת המקור	1976	1989	1992
הוגה השיטה	Leonard Herzenberg	Ingrid Hidalgo	Lewis Sheiner and Stephen Roush
סוג	cell analysis and sorting	absorption screening	dose-response modeling
מקור מכונן	Herzenberg, L. A., Parks, D., Sahaf, B., Perez, O., Roederer, M., & Herzenberg, L. A. (2002). The history and future of the fluorescence-activated cell sorter and flow cytometry: a view from Stanford. Clinical Chemistry, 48(10), 1819-1827.	Hidalgo, I. J., Raub, T. J., & Borchardt, R. T. (1989). Characterization of the human colon carcinoma cell line (Caco-2) as a model system for intestinal epithelial permeability. Gastroenterology, 96(3), 736-749.	Dahlström, B., & Nyberg, L. (1993). Population pharmacokinetics and pharmacodynamics. Clinical Pharmacokinetics, 24(1), 45-57.
כינויים	FACS, fluorescence-activated cell sorting, cell analysis	Caco-2 assay, intestinal permeability, ADME screening	PopPD, population PD, hierarchical PD modeling
קשורות	3	3	3
תקציר	Flow cytometry is a laser-based technology for analyzing and sorting individual cells based on fluorescent markers. Developed by Leonard Herzenberg in the 1970s, flow cytometry enables rapid assessment of cell phenotype, drug effects on cell populations, and therapeutic cell characterization in immunology and hematology.	The Caco-2 assay is an in vitro model system using human colon carcinoma cell monolayers to screen drug intestinal permeability. Developed by Hidalgo and colleagues in 1989, Caco-2 cells differentiate into an epithelial barrier resembling intestinal mucosa, enabling rapid assessment of drug absorption potential and identification of transporter-mediated transport.	Population pharmacodynamic (PopPD) modeling integrates pharmacokinetics with individual dose-response relationships across patient populations to characterize drug efficacy and tolerability. Pioneered by Lewis Sheiner and colleagues, PopPD accounts for inter-individual variability in drug effects and enables rational dose optimization and response prediction.