Literature DB >> 26143464

Whole-cell biosensor for label-free detection of GPCR-mediated drug responses in personal cell lines.

Julia M Hillger1, Jeffison Schoop1, Dorret I Boomsma2, P Eline Slagboom3, Adriaan P IJzerman1, Laura H Heitman4.   

Abstract

Deciphering how genetic variation in drug targets such as G protein-coupled receptors (GPCRs) affects drug response is essential for precision medicine. GPCR signaling is traditionally investigated in artificial cell lines which do not provide sufficient physiological context. Patient-derived cell lines such as lymphoblastoid cell lines (LCLs) could represent the ideal cellular model system. Here we describe a novel label-free, whole-cell biosensor method for characterizing GPCR-mediated drug responses in LCLs. Generally, such biosensor technology is deemed only compatible with adherent cell lines. We optimized and applied the methodology to study cellular adhesion properties as well as GPCR drug responses in LCLs, which are suspension cells. Coating the detector surface with the extracellular matrix protein fibronectin resulted in cell adherence and allowed detection of cellular responses. A prototypical GPCR present on these cells, i.e. the cannabinoid receptor 2 (CB2), was selected for pharmacological characterization. Receptor activation with the agonist JWH133, blockade by antagonist AM630 as well as downstream signaling inhibition by PTX could be monitored sensitively and receptor-specifically. Potencies and effects were comparable between LCLs of two genetically unrelated individuals, providing the proof-of-principle that this biosensor technology can be applied to LCLs, despite their suspension cell nature, in order to serve as an in vitro model system for the evaluation of individual genetic influences on GPCR-mediated drug responses.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cannabinoid receptor 2, CB2; G protein-coupled receptors, GPCR; Label-free; Lymphoblastoid cell lines, LCL; Personalized medicine; Precision medicine

Mesh:

Substances:

Year:  2015        PMID: 26143464     DOI: 10.1016/j.bios.2015.06.031

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  11 in total

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