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Systems Pharmacology Dissection of Cholesterol Regulation Reveals Determinants of Large Pharmacodynamic Variability between Cell Lines

AutorBlattmann, Peter; Henriques, David; Zimmermann, Michael; Frommelt, Fabian; Sauer, Uwe; Sáez-Rodríguez, Julio; Aebersold, Ruedi
Fecha de publicación2017
EditorElsevier
CitaciónCell Systems 5(6): 604-619.e7 (2017)
ResumenIn individuals, heterogeneous drug-response phenotypes result from a complex interplay of dose, drug specificity, genetic background, and environmental factors, thus challenging our understanding of the underlying processes and optimal use of drugs in the clinical setting. Here, we use mass-spectrometry-based quantification of molecular response phenotypes and logic modeling to explain drug-response differences in a panel of cell lines. We apply this approach to cellular cholesterol regulation, a biological process with high clinical relevance. From the quantified molecular phenotypes elicited by various targeted pharmacologic or genetic treatments, we generated cell-line-specific models that quantified the processes beneath the idiotypic intracellular drug responses. The models revealed that, in addition to drug uptake and metabolism, further cellular processes displayed significant pharmacodynamic response variability between the cell lines, resulting in cell-line-specific drug-response phenotypes. This study demonstrates the importance of integrating different types of quantitative systems-level molecular measurements with modeling to understand the effect of pharmacological perturbations on complex biological processes
Descripción23 pages, 7 figures.-- This is an open access article under the CC BY license
Versión del editorhttps://doi.org/10.1016/j.cels.2017.11.002
URIhttp://hdl.handle.net/10261/162210
DOI10.1016/j.cels.2017.11.002
ISSN2405-4720
E-ISSN2405-4712
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