A Systematic Approach to Identify Biased Agonists of the Apelin Receptor through High-Throughput Screening

被引:10
|
作者
McAnally, Danielle [1 ,2 ]
Siddiquee, Khandaker [1 ,2 ]
Sharir, Haleli [1 ,2 ]
Qi, Feng [1 ,2 ]
Phatak, Sharangdhar [1 ,2 ]
Li, Jian-Liang [1 ,2 ]
Berg, Eric [3 ]
Fishman, Jordan [3 ]
Smith, Layton [1 ,2 ]
机构
[1] Sanford Burnham Prebys Med Discovery Inst Lake No, Conrad Prebys Ctr Chem Genom, Orlando, FL USA
[2] Sanford Burnham Prebys Med Discovery Inst Lake No, Ctr Metab Origins Dis, Cardiovasc Metab Program, Orlando, FL USA
[3] 21St Century Biochem Inc, Marlborough, MA USA
基金
美国国家卫生研究院;
关键词
apelin receptor; GPCR; arrestin; biased agonism; high-throughput screening; II TYPE-1 RECEPTOR; ANGIOTENSIN-II; PROTEIN; LIGAND; APJ; ACTIVATION; MECHANISM; DISCOVERY;
D O I
10.1177/2472555217699158
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Biased agonists are defined by their ability to selectively activate distinct signaling pathways of a receptor, and they hold enormous promise for the development of novel drugs that specifically elicit only the desired therapeutic response and avoid potential adverse effects. Unfortunately, most high-throughput screening (HTS) assays are designed to detect signaling of G protein-coupled receptors (GPCRs) downstream of either G protein or beta-arrestin-mediated signaling but not both. A comprehensive drug discovery program seeking biased agonists must employ assays that report on the activity of each compound at multiple discrete pathways, particularly for HTS campaigns. Here, we report a systematic approach to the identification of biased agonists of human apelin receptor (APJ). We synthesized 448 modified versions of apelin and screened them against a cascade of cell-based assays, including intracellular cAMP and beta-arrestin recruitment to APJ, simultaneously. The screen yielded potent and highly selective APJ agonists. Representative hits displaying preferential signaling via either G-protein or beta-arrestin were subjected to a battery of confirmation assays. These biased agonists will be useful as tools to probe the function and pharmacology of APJ and provide proof of concept of our systematic approach to the discovery of biased ligands. This approach is likely universally applicable to the search for biased agonists of GPCRs.
引用
收藏
页码:867 / 878
页数:12
相关论文
共 50 条
  • [1] Biased ligand quantification in drug discovery: from theory to high throughput screening to identify new biased opioid receptor agonists
    Winpenny, David
    Clark, Mellissa
    Cawkill, Darren
    BRITISH JOURNAL OF PHARMACOLOGY, 2016, 173 (08) : 1393 - 1403
  • [2] A cell-based high-throughput screening assay for Farnesoid X receptor agonists
    Zheng, Zhi-Hui
    Lv, Guo-Ping
    Si, Shu-Yi
    Dong, Yue-Sheng
    Zhao, Bao-Hua
    Zhong, Hua
    He, Jian-Gong
    BIOMEDICAL AND ENVIRONMENTAL SCIENCES, 2007, 20 (06) : 465 - 469
  • [3] Discovery of Selective Cannabinoid CB2 Receptor Agonists by High-Throughput Screening
    Ogawa, Lisa M.
    Burford, Neil T.
    Liao, Yu-Hsien
    Scott, Caitlin E.
    Hine, Ashley M.
    Dowling, Craig
    Chin, Jefferson
    Power, Mike
    Hunnicutt, Edward J., Jr.
    Emerick, Victoria L.
    Banks, Martyn
    Zhang, Litao
    Gerritz, Samuel W.
    Alt, Andrew
    Kendall, Debra A.
    SLAS DISCOVERY, 2018, 23 (04) : 375 - 383
  • [4] A Cell-based High-throughput Screening Assay for Farnesoid X Receptor Agonists
    ZHI-HUI ZHENG#
    §College of Life Science
    *New Drug Research & Development Center of North China Pharmaceutical Group Corporation
    BiomedicalandEnvironmentalSciences, 2007, (06) : 465 - 469
  • [5] High-Throughput Screening to Identify Chemical Cardiotoxic Potential
    Krishna, Shagun
    Berridge, Brian
    Kleinstreuer, Nicole
    CHEMICAL RESEARCH IN TOXICOLOGY, 2021, 34 (02) : 566 - 583
  • [6] High-throughput screening to identify inhibitors of lysine demethylases
    Gale, Molly
    Yan, Qin
    EPIGENOMICS, 2015, 7 (01) : 57 - 65
  • [7] A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening
    Jeon, Jouhyun
    Nim, Satra
    Teyra, Joan
    Datti, Alessandro
    Wrana, Jeffrey L.
    Sidhu, Sachdev S.
    Moffat, Jason
    Kim, Philip M.
    GENOME MEDICINE, 2014, 6
  • [8] A systematic approach to identify novel cancer drug targets using machine learning, inhibitor design and high-throughput screening
    Jouhyun Jeon
    Satra Nim
    Joan Teyra
    Alessandro Datti
    Jeffrey L Wrana
    Sachdev S Sidhu
    Jason Moffat
    Philip M Kim
    Genome Medicine, 6
  • [9] A High-Throughput Screening Approach to Identify Therapeutics for the Treatment of Diamond-Blackfan Anaemia
    Villacis, Lorena Nunez
    Al-Obaidi, Sheren J.
    Madhamshettiwar, Piyush
    Hein, Nadine
    Chen, Jun
    Soo, Priscilla
    Poh, Perlita
    Pavy, Megan
    Simpson, Kaylene J.
    Gonda, Thomas John
    Pearson, Richard B.
    Flygare, Johan
    Hannan, Katherine M.
    George, Amee J.
    Hannan, Ross
    BLOOD, 2018, 132
  • [10] Identifying environmental chemicals as agonists of the androgen receptor by using a quantitative high-throughput screening platform
    Lynch, Caitlin
    Sakamuru, Srilatha
    Huang, Ruili
    Stavreva, Diana A.
    Varticovski, Lyuba
    Hager, Gordon L.
    Judson, Richard S.
    Houck, Keith A.
    Kleinstreuer, Nicole C.
    Casey, Warren
    Paules, Richard S.
    Simeonov, Anton
    Xia, Menghang
    TOXICOLOGY, 2017, 385 : 48 - 58