Literature DB >> 28558184

Dopamine Receptor D1 Agonism and Antagonism Using a Field-Effect Transistor Assay.

Seon Joo Park1,2, Heehong Yang2, Seung Hwan Lee2, Hyun Seok Song3,4, Chul Soon Park1, Joonwon Bae5, Oh Seok Kwon1, Tai Hyun Park2, Jyongsik Jang2.   

Abstract

The field-effect transistor (FET) has been used in the development of diagnostic tools for several decades, leading to high-performance biosensors. Therefore, the FET platform can provide the foundation for the next generation of analytical methods. A major role of G-protein-coupled receptors (GPCRs) is in the transfer of external signals into the cell and promoting human body functions; thus, their principle application is in the screening of new drugs. The research community uses efficient systems to screen potential GPCR drugs; nevertheless, the need to develop GPCR-conjugated analytical devices remains for next-generation new drug screening. In this study, we proposed an approach for studying receptor agonism and antagonism by combining the roles of FETs and GPCRs in a dopamine receptor D1 (DRD1)-conjugated FET system, which is a suitable substitute for conventional cell-based receptor assays. DRD1 was reconstituted and purified to mimic native binding pockets that have highly discriminative interactions with DRD1 agonists/antagonists. The real-time responses from the DRD1-nanohybrid FET were highly sensitive and selective for dopamine agonists/antagonists, and their maximal response levels were clearly different depending on their DRD1 affinities. Moreover, the equilibrium constants (K) were estimated by fitting the response levels. Each K value indicates the variation in the affinity between DRD1 and the agonists/antagonists; a greater K value corresponds to a stronger DRD1 affinity in agonism, whereas a lower K value in antagonism indicates a stronger dopamine-blocking effect.

Entities:  

Keywords:  agonism−antagonism; agonists−antagonists; dopamine; dopamine receptor D1; equilibrium constants; field-effect transistor; nanohybrids

Mesh:

Substances:

Year:  2017        PMID: 28558184     DOI: 10.1021/acsnano.7b01722

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


  5 in total

1.  Regenerative, Highly-Sensitive, Non-Enzymatic Dopamine Sensor and Impact of Different Buffer Systems in Dopamine Sensing.

Authors:  Saumya Joshi; Vijay Deep Bhatt; Andreas Märtl; Markus Becherer; Paolo Lugli
Journal:  Biosensors (Basel)       Date:  2018-01-24

Review 2.  Nanomaterial-Based Biosensors using Field-Effect Transistors: A Review.

Authors:  T Manimekala; R Sivasubramanian; Gnanaprakash Dharmalingam
Journal:  J Electron Mater       Date:  2022-02-26       Impact factor: 2.047

3.  Shining Light on Molecular Mechanism for Odor-selectivity of CNT-immobilized Olfactory Receptor.

Authors:  Liyun Zhang; Yuan Yuan; Tian Ren; Yanzhi Guo; Chuan Li; Xuemei Pu
Journal:  Sci Rep       Date:  2018-05-18       Impact factor: 4.379

4.  Human-like smelling of a rose scent using an olfactory receptor nanodisc-based bioelectronic nose.

Authors:  Minju Lee; Heehong Yang; Daesan Kim; Myungjae Yang; Tai Hyun Park; Seunghun Hong
Journal:  Sci Rep       Date:  2018-09-17       Impact factor: 4.379

5.  High-Performance Conducting Polymer Nanotube-based Liquid-Ion Gated Field-Effect Transistor Aptasensor for Dopamine Exocytosis.

Authors:  Seon Joo Park; Jiyeon Lee; Sung Eun Seo; Kyung Ho Kim; Chul Soon Park; Sang Hun Lee; Hyun Seung Ban; Byoung Dae Lee; Hyun Seok Song; Jinyeong Kim; Chang-Soo Lee; Joonwon Bae; Oh Seok Kwon
Journal:  Sci Rep       Date:  2020-02-28       Impact factor: 4.379

  5 in total

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