Chapter title |
Identification of State-Dependent Blockers for Voltage-Gated Calcium Channels Using a FLIPR-Based Assay
|
---|---|
Chapter number | 13 |
Book title |
High Throughput Screening
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3673-1_13 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3671-7, 978-1-4939-3673-1
|
Authors |
Alberto di Silvio, JeanFrancois Rolland, Michela Stucchi, Silvio, Alberto di, Rolland, JeanFrancois, Stucchi, Michela |
Abstract |
The FLIPR (Fluorescent Imaging Plate Reader) system has been extensively used in the early stages of drug discovery for the identification of small molecules as a starting point for drug development, and for the pharmacological characterization of compounds. The main application of the system has been the measurement of intracellular Ca(2+) signals using fluorescent calcium indicators.This chapter describes the application of a protocol for the study and characterization of state-dependent blockers of Voltage-Gated Calcium Channels (VGCC) on the FLIPR(TETRA).The cell line suitable for the application of the protocol, and described hereafter, co-expresses the human CaV1.2 channel and the human inward rectifier K(+) channel Kir2.3. The presence of Kir2.3 allows the modulation of the plasma membrane potential and consequently of the state of the CaV1.2 channel by changing the extracellular K(+) concentration. In this way, CaV1.2 activity can be measured at different membrane voltages, corresponding to either the resting or partial inactivated state, by loading the cells with a calcium probe in extracellular low or high potassium buffer. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Professor | 1 | 14% |
Student > Bachelor | 1 | 14% |
Student > Master | 1 | 14% |
Researcher | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 14% |
Agricultural and Biological Sciences | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Neuroscience | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |