| Literature DB >> 29634231 |
Jinglei Ping, Ramya Vishnubhotla, Jin Xi, Pedro Ducos, Jeffery G Saven, Renyu Liu, Alan T Charlie Johnson.
Abstract
Opioid neuropeptides play a significant role in pain perception, appetite regulation, sleep, memory, and learning. Advances in understanding of opioid peptide physiology are held back by the lack of methodologies for real-time quantification of affinities and kinetics of the opioid neuropeptide-receptor interaction at levels typical of endogenous secretion (<50 pM) in biosolutions with physiological ionic strength. To address this challenge, we developed all-electronic opioid-neuropeptide biosensors based on graphene microelectrodes functionalized with a computationally redesigned water-soluble μ-opioid receptor. We used the functionalized microelectrode in a bias-free charge measurement configuration to measure the binding kinetics and equilibrium binding properties of the engineered receptor with [d-Ala2, N-MePhe4, Gly-ol]-enkephalin and β-endorphin at picomolar levels in real time.Entities:
Keywords: affinity; bias-free; biosensors; graphene; kinetics; microelectrode; neuropeptides
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Year: 2018 PMID: 29634231 PMCID: PMC6068397 DOI: 10.1021/acsnano.7b07474
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881