Literature DB >> 11093758

The use of stimulus-biased assay systems to detect agonist-specific receptor active states: implications for the trafficking of receptor stimulus by agonists.

C Watson1, G Chen, P Irving, J Way, W J Chen, T Kenakin.   

Abstract

The quantitative comparison of the relative potency of agonists is a standard method of receptor and agonist classification. If agonist potency ratios do not correspond in two given tissues, this is used as presumptive data to conclude that the receptors in those two tissues are different. This article presents data to show that a single receptor can demonstrate varying agonist potency ratios in different host cells. These data are described in terms of the production of more than one agonist-selective receptor active state and the interaction of these different active states with multiple G proteins in the membrane to produce cellular response. Stable host human embryonic kidney 293 cells with enhanced quantities of the respective Galpha-protein were created. Wild-type and Galpha-subunit enriched cells were then transiently transfected with human calcitonin receptor type 2 (hCTR2). Binding did not detect differences in the G protein-enriched cells versus wild-type cells. In contrast, functional studies did show differences between the host cell lines and Galpha-subunit enriched cell lines. The relative potency of eight calcitonin agonists was measured in studies of calcium fluorescence in transfected cells containing human calcitonin receptor type 2 by comparing pEC(50) (-log molar concentration producing half-maximal response) values. In Galphas-enriched cells, the relative order of potency of the agonists changed. The host-cell dependent differences in potency ratios ranged from 2-fold to more than 46-fold. This finding is not consistent with the idea that all of the agonists produce response in the same manner (i.e., through a common active state of the receptor). These data are consistent with the idea that these different agonists produce arrays of active states that differentially use G proteins. This idea is discussed in terms of the design of stimulus-bias assay systems to detect agonist-selective receptor active states with resulting potential for increased selectivity of agonists.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 11093758     DOI: 10.1124/mol.58.6.1230

Source DB:  PubMed          Journal:  Mol Pharmacol        ISSN: 0026-895X            Impact factor:   4.436


  23 in total

Review 1.  Seven transmembrane receptors as shapeshifting proteins: the impact of allosteric modulation and functional selectivity on new drug discovery.

Authors:  Terry Kenakin; Laurence J Miller
Journal:  Pharmacol Rev       Date:  2010-04-14       Impact factor: 25.468

2.  Being mindful of seven-transmembrane receptor 'guests' when assessing agonist selectivity.

Authors:  Terry Kenakin
Journal:  Br J Pharmacol       Date:  2010-07       Impact factor: 8.739

Review 3.  Embracing emerging paradigms of G protein-coupled receptor agonism and signaling to address airway smooth muscle pathobiology in asthma.

Authors:  Raymond B Penn
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2008-02-16       Impact factor: 3.000

Review 4.  Pharmacological onomastics: what's in a name?

Authors:  T P Kenakin
Journal:  Br J Pharmacol       Date:  2007-08-13       Impact factor: 8.739

Review 5.  Cellular assays as portals to seven-transmembrane receptor-based drug discovery.

Authors:  Terry P Kenakin
Journal:  Nat Rev Drug Discov       Date:  2009-07-17       Impact factor: 84.694

Review 6.  Gaddum Memorial Lecture 2014: receptors as an evolving concept: from switches to biased microprocessors.

Authors:  Terry Kenakin
Journal:  Br J Pharmacol       Date:  2015-07-21       Impact factor: 8.739

Review 7.  New concepts in pharmacological efficacy at 7TM receptors: IUPHAR review 2.

Authors:  Terry Kenakin
Journal:  Br J Pharmacol       Date:  2013-02       Impact factor: 8.739

Review 8.  Signalling bias in new drug discovery: detection, quantification and therapeutic impact.

Authors:  Terry Kenakin; Arthur Christopoulos
Journal:  Nat Rev Drug Discov       Date:  2012-02-15       Impact factor: 84.694

9.  Scalable rule-based modelling of allosteric proteins and biochemical networks.

Authors:  Julien F Ollivier; Vahid Shahrezaei; Peter S Swain
Journal:  PLoS Comput Biol       Date:  2010-11-04       Impact factor: 4.475

10.  Agonist-dependent consequences of proline to alanine substitution in the transmembrane helices of the calcitonin receptor.

Authors:  R J Bailey; D L Hay
Journal:  Br J Pharmacol       Date:  2007-05-08       Impact factor: 8.739

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.