A fluorescent approach for identifying P2X1 ligands

Fluorescence-based method for analysis of glycine receptor alpha 3 agonists

Glycine, a key neurotransmitter, plays a complex role in the CNS. It acts as an inhibitory neurotransmitter by interacting with ligand-gated chloride channels. Glycine plays a crucial role in pain and itch transmission through its interactions with the glycine receptor alpha 1 (Glyr α1) and 3 (Glyr α3) subunits. Targeting glycinergic neurotransmission in the CNS, particularly the spinal cord, could provide a beneficial strategy for analgesic and/or abirritant drug discovery. Currently, the search for novel pharmacological agonists and modulators against glycine receptors is still in its early stages. In this study, we designed two different vectors to express the human hetero-pentameric GlyR α3β. We tested different chemical transfection protocols and performed fluorescence endpoint measurements in acutely transfected cells and cells that underwent antibiotic selection. We further validated our findings by studying the electrophysiological properties of the vector-expressing cells using patch clamp. The results demonstrate that acutely vector-transfected cells and vector-transfected cells subjected to antibiotic selection work equally well during fluorescence-based measurements. However, in single-cell measurements such as patch clamp, acutely transfected cells perform better. The results further show that reversing the equilibrium potential of Cl- can enhance the fluorescence response from the FluoVolt™ membrane potential dye, which can be used during patch clamp measurements. This establishes a simple and cost-effective method to screen for compounds in cell cultures using chemical transfection with a vector expressing GlyR α3β, which could aid in developing the next generation of non-opioid analgesic.

Fragment-Based Phenotypic Lead Discovery To Identify New Drug Seeds That Target Infectious Diseases

Fragment-based lead discovery has emerged over the last decades as one of the most powerful techniques for identifying starting chemical matter to target specific proteins or nucleic acids in vitro. However, the use of such low-molecular-weight fragment molecules in cell-based phenotypic assays has been historically avoided because of concerns that bioassays would be insufficiently sensitive to detect the limited potency expected for such small molecules and that the high concentrations required would likely implicate undesirable artifacts. Herein, we applied phenotype cell-based screens using a curated fragment library to identify inhibitors against a range of pathogens including Leishmania, Plasmodium falciparum, Neisseria, Mycobacterium, and flaviviruses. This proof-of-concept shows that fragment-based phenotypic lead discovery (FPLD) can serve as a promising complementary approach for tackling infectious diseases and other drug-discovery programs.

Lighting Up the Plasma Membrane: Development and Applications of Fluorescent Ligands for Transmembrane Proteins

Despite the fact that transmembrane proteins represent the main therapeutic targets for decades, complete and in-depth knowledge about their biochemical and pharmacological profiling is not fully available. In this regard, target-tailored small-molecule fluorescent ligands are a viable approach to fill in the missing pieces of the puzzle. Such tools, coupled with the ability of high-precision optical techniques to image with an unprecedented resolution at a single-molecule level, helped unraveling many of the conundrums related to plasma proteins' life-cycle and druggability. Herein, we review the recent progress made during the last two decades in fluorescent ligand design and potential applications in fluorescence microscopy of voltage-gated ion channels, ligand-gated ion channels and G-coupled protein receptors.

Direct Measurement of Single-Molecule Ligand-Receptor Interactions

Measuring the kinetics that govern ligand-receptor interactions is fundamental to our understanding of pharmacology. For ligand-gated ion channels, binding of an agonist triggers allosteric motions that open an integral ion-permeable pore. By mathematically modeling stochastic electrophysiological responses with high temporal resolution (ms), previous single channel studies have been able to infer the rate constants of ligands binding to these receptors. However, there are no reports of the direct measurement of the single-molecule binding events that are vital to how agonists exert their functional effects. For the first time, we report these direct measurements, the rate constants, and corresponding free energy changes, which describe the transitions between the different binding states. To achieve this, we use the super resolution technique: points accumulation for imaging in nanoscale topography (PAINT) to observe binding of ATP to orthosteric binding sites on the P2X1 receptor. Furthermore, an analysis of time-resolved single-molecule interactions is used to measure elementary rate constants and thermodynamic forces that drive the allosteric motions. These single-molecule measurements unequivocally establish the location of each binding states of the P2X1 receptor and the stochastic nature of the interaction with its native ligand. The analysis leads to the measurement of the forward and reverse rates from a weak ligand-binding state to a strong ligand binding state that is linked to allosteric motion and ion pore formation. These rates (k_α = 1.41 sec^-1 and k_β = 0.32 sec^-1) were then used to determine the free energy associated with this critical mechanistic step (3.7 kJ/mol). Importantly, the described methods can be readily applied to all ligand-gated ion channels, and more broadly to the molecular interactions of other classes of membrane proteins.

Discovery and Structure Relationships of Salicylanilide Derivatives as Potent, Non-acidic P2X1 Receptor Antagonists

Antagonists for the ATP-gated ion channel receptor P2X1 have potential as antithrombotics and for treating hyperactive bladder and inflammation. In this study, salicylanilide derivatives were synthesized based on a screening hit. P2X1 antagonistic potency was assessed in 1321N1 astrocytoma cells stably transfected with the human P2X1 receptor by measuring inhibition of the ATP-induced calcium influx. Structure-activity relationships were analyzed, and selectivity versus other P2X receptor subtypes was assessed. The most potent compounds, N-[3,5-bis(trifluoromethyl)phenyl]-5-chloro-2-hydroxybenzamide (1, IC₅₀ 0.0192 μM) and N-[3,5-bis(trifluoromethyl)phenyl]-4-chloro-2-hydroxybenzamide (14, IC₅₀ 0.0231 μM), displayed >500-fold selectivity versus P2X2 and P2X3, and 10-fold selectivity versus P2X4 and P2X7 receptors, and inhibited collagen-induced platelet aggregation. They behaved as negative allosteric modulators, and molecular modeling studies suggested an extracellular binding site. Besides selective P2X1 antagonists, compounds with ancillary P2X4 and/or P2X7 receptor inhibition were discovered. These compounds represent the first potent, non-acidic, allosteric P2X1 receptor antagonists reported to date.

A Guide to Tracking Single Membrane Proteins and Their Interactions in Supported Lipid Bilayers

The purpose of this chapter is to serve as a guide for those who wish to carry out experiments tracking single proteins in planar supported biomimetic membranes. This chapter describes, in detail, the construction of a simple single molecule microscope, which includes: (1) a parts list, (2) temperature control, (3) an alignment procedure, (4) a calibration procedure, and (5) a procedure for measuring the mechanical stability of the instrument. It also gives procedures for making planar supported bilayers on hydrophilically treated borosilicate and quartz. These include (1) POPC bilayers, (2) POPC/PEG-PE cushioned bilayers, (3) POPC/PEG-PE cushioned bilayers on BSA passivated substrates, and (4) a cushioned biomimetic membrane of the endoplasmic reticulum (ER). A procedure for the detergent mediated incorporation of the transmembrane protein 5HT_3A (a serotonin receptor) is also described and can be used as a starting point for other large non-self-inserting transmembrane proteins. A procedure for the detergent-free incorporation of cytochrome P450 reductase (CPR) and cytochrome P450 enzymes (P450) into an ER biomimetic is also described. The final experimental section of this chapter details different procedures for data analysis including (1) quantitative analysis of mean squared displacements from individually tracked proteins, (2) gamma distribution analysis of diffusion coefficients from a small ensemble of individually tracked proteins, (3) average mean squared displacement analysis, (4) Gaussian analysis of step-size distributions, (5) Arrhenius analysis of temperature dependent data, (6) the determination of equilibrium constants from a step-size distribution, and (7) a perspective associated with the interpretation of single particle tracking data.

A challenge finding P2X1 and P2X4 ligands

Identifying novel small-molecule P2X1 and P2X4 ligands with sub-type specificity and high-affinity remains a pharmacological challenge. Here we use computational methods, electrophysiology and fluorescent microplate assays to screen for ligand candidates acting at these receptors. Modelling and docking identified 80 compounds for testing at P2X4 receptors, and 20 of these showed >50% inhibition in fluorescence-based assays, making them appealing for further SAR studies. Confirmation of activity by two-electrode voltage clamp, followed by their elaboration resulted in only minor improvements in potency, with the highest IC₅₀ being 295 μM. Testing on P2X1 receptors, resulted in a series of biguanide compounds that yielded a maximum IC₅₀ of 100 μM, but no consistent SAR could be found. Potencies of established antagonists gave expected results, although the measured potencies varied between techniques and no antagonism could be found for compounds such as paroxetine, carbamazepine, 9(10H)-acridanone, acridinol and phenoxazine-type heterocycles. This study highlights the challenge of identifying P2X4 and P2X1 ligands and suggests that a combination of complimentary approaches is needed if we are to be confident of ligand activities at these receptors.

CellFy: A Cell-Based Fragment Screen against C-Type Lectins

Fragment-based drug discovery is a powerful complement to conventional high-throughput screening, especially for difficult targets. Screening low-molecular-weight fragments usually requires highly sensitive biophysical methods, because of the generally low affinity of the identified ligands. Here, we developed a cell-based fragment screening assay (cellFy) that allows sensitive identification of fragment hits in a physiologically more relevant environment, in contrast to isolated target screenings in solution. For this, a fluorescently labeled multivalent reporter was employed, enabling direct measurement of displacement by low-molecular-weight fragments without requiring enzymatic reactions or receptor activation. We applied this technique to identify hits against two challenging targets of the C-type lectin receptor (CLR) family: Dendritic Cell-Specific Intercellular adhesion molecule-3-Grabbing Nonintegrin (DC-SIGN) and Langerin. Both receptors are involved in pathogen recognition and initiation of an immune response, which renders them attractive targets for immune modulation. Because of their shallow and hydrophilic primary binding site, hit identification for CLRs is challenging and druglike ligands for CLRs are sparse. Screening of a fragment library followed by hit validation identified several promising candidates for further fragment evolution for DC-SIGN. In addition, a multiplexed assay format was developed for simultaneous screening against multiple CLRs, allowing a selectivity counterscreening. Overall, this sensitive cell-based fragment screening assay provides a powerful tool for rapid identification of bioactive fragments, even for difficult targets.

Unraveling the Thousand Word Picture: An Introduction to Super-Resolution Data Analysis

Super-resolution microscopy provides direct insight into fundamental biological processes occurring at length scales smaller than light's diffraction limit. The analysis of data at such scales has brought statistical and machine learning methods into the mainstream. Here we provide a survey of data analysis methods starting from an overview of basic statistical techniques underlying the analysis of super-resolution and, more broadly, imaging data. We subsequently break down the analysis of super-resolution data into four problems: the localization problem, the counting problem, the linking problem, and what we've termed the interpretation problem.