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A nanoluciferase biosensor to investigate endogenous chemokine secretion and receptor binding.
White, Carl W; Kilpatrick, Laura E; Pfleger, Kevin D G; Hill, Stephen J.
Afiliación
  • White CW; Cell Signalling and Pharmacology Research Group, Division of Physiology, Pharmacology & Neuroscience, School of Life Sciences, University of Nottingham, Nottingham NG7 2UH, UK.
  • Kilpatrick LE; Centre of Membrane Proteins and Receptors, University of Birmingham and University of Nottingham, The Midlands, UK.
  • Pfleger KDG; Harry Perkins Institute of Medical Research and Centre for Medical Research, The University of Western Australia, QEII Medical Centre, Nedlands, WA 6009, Australia.
  • Hill SJ; Australian Research Council Centre for Personalised Therapeutics Technologies, Australia.
iScience ; 24(1): 102011, 2021 Jan 22.
Article en En | MEDLINE | ID: mdl-33490919
Secreted chemokines are critical mediators of cellular communication that elicit intracellular signaling by binding membrane-bound receptors. Here we demonstrate the development and use of a sensitive real-time approach to quantify secretion and receptor binding of native chemokines in live cells to better understand their molecular interactions and function. CRISPR/Cas9 genome editing was used to tag the chemokine CXCL12 with the nanoluciferase fragment HiBiT. CXCL12 secretion was subsequently monitored and quantified by luminescence output. Binding of tagged CXCL12 to either chemokine receptors or membrane glycosaminoglycans could be monitored due to the steric constraints of nanoluciferase complementation. Furthermore, binding of native CXCL12-HiBiT to AlexaFluor488-tagged CXCR4 chemokine receptors could also be distinguished from glycosaminoglycan binding and pharmacologically analyzed using BRET. These live cell approaches combine the sensitivity of nanoluciferase with CRISPR/Cas9 genome editing to detect, quantify, and monitor binding of low levels of native secreted proteins in real time.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: IScience Año: 2021 Tipo del documento: Article