Literature DB >> 25631871

Selectivity of pharmacological tools: implications for use in cell physiology. A review in the theme: Cell signaling: proteins, pathways and mechanisms.

Martin C Michel1, Roland Seifert2.   

Abstract

Pharmacological inhibitors are frequently used to identify the receptors, receptor subtypes, and associated signaling pathways involved in physiological cell responses. Based on the effects of such inhibitors conclusions are drawn about the involvement of their assumed target or lack thereof. While such inhibitors can be useful tools for a better physiological understanding, their uncritical use can lead to incorrect conclusions. This article reviews the concept of inhibitor selectivity and its implication for cell physiology. Specifically, we discuss the implications of using inhibitor vs. activator approaches, issues of direct vs. indirect pathway modulation, implications of inverse agonism and biased signaling, and those of orthosteric vs. allosteric, competitive vs. noncompetitive, and reversible vs. irreversible inhibition. Additional problems can result from inconsistent estimates of inhibitor potency and differences in potency between cell-free systems and intact cells. These concepts are illustrated by several examples of inhibitors displaying affinity for related but distinct targets or even unrelated targets. Of note, many of the issues being addressed are also applicable to genetic inhibition strategies. The main practical conclusion following from these concepts is that investigators should be critical in the choice of inhibitor, its concentrations, and its mode of application. When this advice is adhered to, small-molecule pharmacological inhibitors can be important experimental tools in the hand of physiologists.
Copyright © 2015 the American Physiological Society.

Keywords:  SQ22,536; SR 59,230A; U 73,122; amiloride; amiodarone; biased signaling; competitive antagonism; functional antagonism; inverse agonism; selectivity; suramin

Mesh:

Substances:

Year:  2015        PMID: 25631871     DOI: 10.1152/ajpcell.00389.2014

Source DB:  PubMed          Journal:  Am J Physiol Cell Physiol        ISSN: 0363-6143            Impact factor:   4.249


  10 in total

1.  Longitudinal trends and subgroup analysis in publication patterns for preclinical data of newly approved drugs.

Authors:  Ursula Köster; Ingo Nolte; Martin C Michel
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2015-11-26       Impact factor: 3.000

2.  How β3 -adrenoceptor-selective is mirabegron?

Authors:  Martin C Michel
Journal:  Br J Pharmacol       Date:  2016-02       Impact factor: 8.739

Review 3.  Agonist-induced desensitisation of β3 -adrenoceptors: Where, when, and how?

Authors:  Katerina Okeke; Stephane Angers; Michel Bouvier; Martin C Michel
Journal:  Br J Pharmacol       Date:  2019-04-07       Impact factor: 8.739

Review 4.  Modulation of lower urinary tract smooth muscle contraction and relaxation by the urothelium.

Authors:  Donna Sellers; Russ Chess-Williams; Martin C Michel
Journal:  Naunyn Schmiedebergs Arch Pharmacol       Date:  2018-05-28       Impact factor: 3.000

5.  Purinergic signaling triggers endfoot high-amplitude Ca2+ signals and causes inversion of neurovascular coupling after subarachnoid hemorrhage.

Authors:  Anthony C Pappas; Masayo Koide; George C Wellman
Journal:  J Cereb Blood Flow Metab       Date:  2016-05-20       Impact factor: 6.200

Review 6.  International Union of Basic and Clinical Pharmacology. CI. Structures and Small Molecule Modulators of Mammalian Adenylyl Cyclases.

Authors:  Carmen W Dessauer; Val J Watts; Rennolds S Ostrom; Marco Conti; Stefan Dove; Roland Seifert
Journal:  Pharmacol Rev       Date:  2017-04       Impact factor: 25.468

7.  Effects of 39 Compounds on Calmodulin-Regulated Adenylyl Cyclases AC1 and Bacillus anthracis Edema Factor.

Authors:  Carolin Lübker; Roland Seifert
Journal:  PLoS One       Date:  2015-05-06       Impact factor: 3.240

8.  β-Adrenoceptor-mediated Relaxation of Urinary Bladder Muscle in β2-Adrenoceptor Knockout Mice.

Authors:  Stefan Propping; Kristina Lorenz; Martin C Michel; Manfred P Wirth; Ursula Ravens
Journal:  Front Pharmacol       Date:  2016-05-09       Impact factor: 5.810

9.  A systematic approach to decipher crosstalk in the p53 signaling pathway using single cell dynamics.

Authors:  Fabian Konrath; Anna Mittermeier; Elena Cristiano; Jana Wolf; Alexander Loewer
Journal:  PLoS Comput Biol       Date:  2020-06-26       Impact factor: 4.475

Review 10.  The Role of Adrenoceptors in the Retina.

Authors:  Yue Ruan; Tobias Böhmer; Subao Jiang; Adrian Gericke
Journal:  Cells       Date:  2020-12-03       Impact factor: 6.600

  10 in total

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