Luminescence-Based Antagonist Evaluation

Luminescence data (peak integration) were calculated as described previously^{2 (link)} using MikroWin 2000 software (Berthold). Statistical and curve-fitting analyses were performed using Prism 4.0 (GraphPad) software. Data were expressed in percentage (% RLU) of the maximal luminescence that was detected with 10⁻⁴ M SP (without antagonist). The competitive nature of antagonism was evaluated using the Schild plot method.^{22 (link)} All antagonists analyzed in this study provided linear regression plots and were considered competitive. The pA₂ values were calculated using the Schild’s equation.^{22 (link)}

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Starnowska J., Costante R., Guillemyn K., Popiolek-Barczyk K., Chung N.N., Lemieux C., Keresztes A., Van Duppen J., Mollica A., Streicher J., Broeck J.V., Schiller P.W., Tourwé D., Mika J., Ballet S, & Przewlocka B. (2017). Analgesic Properties of Opioid/NK1 Multitarget Ligands with Distinct in Vitro Profiles in Naive and Chronic Constriction Injury Mice. ACS chemical neuroscience, 8(10), 2315-2324.

Publication 2017

MikroWin 2000 Prism 4.0

Antagonists Luminescence Prism

Corresponding Organization :

Other organizations : Polish Academy of Sciences, Maj Institute of Pharmacology, Vrije Universiteit Brussel, Montreal Clinical Research Institute, University of Arizona, KU Leuven, University of Chieti-Pescara

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Variable analysis

independent variables

Antagonist concentration

dependent variables

Luminescence (peak integration)
Percentage of maximal luminescence detected with 10^-4 M SP (without antagonist)

control variables

MikroWin 2000 software (Berthold) for calculating luminescence data (peak integration)
Prism 4.0 (GraphPad) software for statistical and curve-fitting analyses
10^-4 M SP (without antagonist) as the reference for maximal luminescence

positive controls

10^-4 M SP (without antagonist)

negative controls

Not explicitly mentioned

Annotations

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