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BioAssay: AID 651872

Dose response for HTS for Beta-2AR agonists via FAP method from Powderset4

Chemistry Center/ PI: Vanderbilt Specialty Chemistry Center/Craig Lindsley Chemistry Center Lead: Shaun Stauffer ..more
 Tested Compounds
 Tested Compounds
 Tested Substances
 Tested Substances
AID: 651872
BioAssay Type: Confirmatory, Concentration-Response Relationship Observed
Depositor Category: NIH Molecular Libraries Probe Production Network
Deposit Date: 2012-12-06
Hold-until Date: 2013-12-05
Modify Date: 2013-12-05

Data Table ( Complete ):           Active    All
BioActive Compounds: 6
Depositor Specified Assays
651701Summary of HTS Screening Project for Inhibitors of fluorogen-FAP tag interactionssummarySummary of HTS Screening Project for Inhibitors of fluorogen-FAP tag interactions
University of New Mexico Assay Overview:
Assay Support: R03 MH093192-01
Project Title: HTS for Non-Canonical Ligands for Beta 2 Adrenergic Receptor Internalization
Assay Provider: Jonathan Jarvik, Carnegie Mellon University
Screening Center/ PI: UNMCMD/ Larry Sklar
Lead Biologist: Yang Wu
Chemistry Center/ PI: Vanderbilt Specialty Chemistry Center/Craig Lindsley Chemistry Center Lead: Shaun Stauffer
Assay Implementation: Yang Wu, Phillip Tapia

Assay Background and Significance:

G protein-coupled receptors represent the largest family of proteins in the human genome with an estimated number of approximately 800. Because of their central involvement in almost every aspect of human physiology, they also represent the largest target for medical intervention [Lin and Civelli, Annu Med 36 (2004), 204-14]. Today, GPCRs represent the target of approximately 30-40% of all drugs on the market. Indeed, of the 50 top-selling drugs in the United States in 2007, 18 target GPCRs, with combined sales of approximately 25 billion dollars.

Of about 800 GPCRs, 500 are chemosensory, representing the chemokine/chemoattractant GPCRs, and the olfactory and gustatory GPCRs. Although the former have been thoroughly characterized for the most part, members of the latter, particularly the olfactory receptors which may include the important category of pheromones, have had only a small number of ligands identified. The remaining GPCRs, approximately 360, constitute the transmitter GPCRs. Of these, approximately 100 receptors still have no known ligand. Such receptors with no known physiological ligand are referred to as orphan receptors and arose from cloning strategies based on limited homology within almost all GPCRs (predominantly during the 1990's) as well as the sequencing of the human genome (in 2000) [Chung et al, Br J Pharmacol 153 Suppl 1 (2008), S339-46].

The search for endogenous ligands for orphan GPCRs has been challenging. This process has given rise to the field of reverse pharmacology, which uses orphan GPCRs to identify novel ligands, which together often lead to the characterization of new physiological paradigms. Over the last 20 years, this approach has led to the deorphanization of about 300 GPCRs. Many of the ligands were already known and their biology characterized, but their receptor was unknown. But in some of these instances, this process also led to the identification of novel transmitters [Civelli et al., Pharmacol Ther 110 (2006), 525-32].

During the 1990's, approximately 10 GPCRs were deorphanized per year. However, very few have been deorphanized since 2004. In addition, no novel transmitters have been identified since that time [Chung et al, Br J Pharmacol 153 Suppl 1 (2008), S339-46]. Given these facts, the question arises as to whether the remaining orphan GPCRs will be readily deorphanized. One major issue is that the pool of known transmitters for which no receptor is known has been essentially depleted. Since all the possible transmitters have now been matched to GPCRs, the current orphan GPCRs can only bind unknown ligands, for which the identification is also slow and resource intense. This is particularly true given that the concentrations of many transmitters in vivo is exceedingly low, making their identification difficult. It is also possible that the expression of some ligands may be developmentally or environmentally regulated.

Almost all current reverse pharmacological/screening approaches rely on monitoring second messenger levels such as calcium mobilization, cAMP production and transcriptional activation. Thus, successful screening requires knowledge of the pathway for a given receptor, in particular the G protein to which the receptor couples. As the number of heterotrimeric G protein combinations is large, this is not a trivial task.

An alternate approach to measuring signal transduction is the monitoring receptor internalization. Virtually all known GPCRs undergo activation-dependent internalization as a mechanism to reduce cell surface receptor numbers. Internalization does not require G protein coupling. Instead, the activity of one of four G protein receptor kinases (GRKs) is required. In most instances, the binding of an accessory protein, arrestin, is also required. One screening approach that has been developed is the recruitment of GFP-tagged arrestin to either the plasma membrane or intracellular endosomes.

The beta-Arrestin clustering assay, developed by Norak Technologies, requires high resolution imaging, well spread, adherent cells, and extensive image analysis to determine the response to a treatment. Other methods, such a receptor desensitization measurements on non-permeabilized cells rely on measurement of subtle changes in intensity. As described below, the CMU TCNP is developing sensors for GPCR responses that are readily compatible with HTS flow cytometry and multiplexing when the GPCRs are expressed in suspension cell lines.
1. Spin down AM2.2-beta2AR cells, discard supernatant, and resuspend in fresh RPMI1640 full medium. Final cell density will be 5x106 cells/mL.
2. Add 5muL serum free RPMI to the assay plate except for columns 11 and 23 by Microflow
3. Add 5muL of freshly prepared 32muM ISO in RPMI full media to Column 11 and 23 of all the plates as PCntrls by Microflow
4. Add 100nL of library compounds between 15nM and 33microM (final concentration) to assay plates by FX.
5. Add 3muL of cells to Columns 1 - 11, 13-23 of the assay plates by Microflow.
6. Shake the plates and put them in 37C incubator for 90mins.
7. Add 3muL 650nM TO1-2p to assay plates by Microflow or Nanoquot to assay plates and read by high-throughput flow cytometers immediately.

If EC50 is reported and EC50 < 10 then

Result Definitions
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OutcomeThe BioAssay activity outcomeOutcome
1ACTIVITY_QUALIFIERQualifier for the value of EC50String
2LOGEC50Log of the reported EC50Float
3EC50_MICROM*Effective concentration of half maximal event count as estimated by curve fitFloatμM
4EC50_95CI_LOWLower 95% confidence interval boundary for the EC50 curve fit estimateFloatμM
5EC50_95CI_HIGHUpper 95% confidence interval boundary for the EC50 curve fit estimateFloatμM
6BOTTOMResponse value at the bottom plateauFloat%
7TOPResponse value at the top plateauFloat%
8HILLSLOPEHill slope estimate for the fitted dose response curveFloat
9STD_BOTTOMStandard error for the response value at the bottom plateauFloat
10STD_TOPStandard error for the response value at the top plateauFloat
11STD_HILLSLOPEStandard error for the HILL SLOPEFloat
12RSQRCorrelation coefficient for the fitted dose response curveFloat
13N_POINTSNumber of data points for each dose response curveInteger
14SPANDifference of measurements without compound and with maximum concentration of compoundFloat
15RAW_MCF_0.000_MICROM (0μM**)FloatμM
16RAW_MCF_0.003_MICROM (0.003μM**)FloatμM
17RAW_MCF_0.010_MICROM (0.01μM**)FloatμM
18RAW_MCF_0.031_MICROM (0.031μM**)FloatμM
19RAW_MCF_0.098_MICROM (0.098μM**)FloatμM
20RAW_MCF_0.310_MICROM (0.31μM**)FloatμM
21RAW_MCF_0.985_MICROM (0.985μM**)FloatμM
22RAW_MCF_3.128_MICROM (3.128μM**)FloatμM
23RAW_MCF_9.927_MICROM (9.927μM**)FloatμM
24RAW_MCF_100.0_MICROM (100μM**)FloatμM

* Activity Concentration. ** Test Concentration.
Additional Information
Grant Number: R03 MH093192-01

Data Table (Concise)