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Biomedical subjects

J J Linderman

Publications and source records attributed to J J Linderman.

At least 19 recordsLinked to original sources

Validation of flow cytometric competitive binding protocols and characterization of fluorescently labeled ligands.

BACKGROUND: Fluorescently labeled ligands and flow cytometric methods allow quantification of receptor-ligand binding. Such methods require calibration of the fluorescence of bound ligands. Moreover, binding of unlabeled ligands can be calculated based on their abilities to compete with a labeled ligand. In this study, calibration parameters were determined for six fluorescently labeled N-formyl peptides that bind to receptors on neutrophils. Two of these ligands were then used to develop and validate competitive binding protocols for determining binding constants of unlabeled ligands. METHODS: Spectrofluorometric and flow cytometric methods for converting relative flow cytometric intensities to number of bound ligand/cell were extended to include peptides labeled with fluorescein, Bodipy, and tetramethylrhodamine. The validity of flow cytometric competitive binding protocols was tested using two ligands with different fluorescent properties that allowed determination of rate constants both directly and competitively for one ligand, CHO-NLFNYK-tetramethylrhodamine. RESULTS: Calibration parameters were determined for six fluorescently-labeled N-formyl peptides. Equilibrium dissociation constants for these ligands varied over two orders of magnitude and depended upon the peptide sequence and the molecular structure of the fluorescent tag. Kinetic rate constants for CHO-NLFNYK-tetramethylrhodamine determined directly or in competition with CHO-NLFNYK-fluorescein were statistically identical. CONCLUSIONS: Combination of spectrofluorometric and flow cytometric methods allows convenient calculation of calibration parameters for a series of fluorescent ligands that bind to the same receptor site. Competitive binding protocols have been independently validated.

Binding, Competitive↗

Uncovering biases in high throughput screens of G-protein coupled receptors.

The ability of high throughput membrane binding assays to detect ligands for G-protein coupled receptors was examined using mathematical models. Membrane assay models were developed using the extended ternary complex model (Samama et al., 1993) as a basis. Ligand binding to whole cells was modeled by adding a G-protein activation step. Results show that inverse agonists bind more slowly and with a lower affinity to receptors in the membrane binding assay than to receptors in whole cells, causing the membrane assay to miss pharmaceutically important inverse agonists. Assay modifications to allow detection of inverse agonists are discussed. Finally, kinetic binding data are shown to provide information about ligand efficacy. This work demonstrates the utility of mathematical modeling in detecting biases in drug-screening assay, and also in suggesting techniques to correct those biases.

Animals↗

Timing is everything the role of kinetics in G protein activation.

The binding of a drug to a G-protein coupled receptor initiates a complex series of dynamic events that ultimately leads to a cellular response. In addition to the concentrations of receptor, drug and G-protein, important determinants of the cellular response are the rates at which these species interact. However, most models for G-protein coupled receptor signaling are equilibrium models that neglect the role of reaction kinetics. A kinetic ternary-complex model of signaling through G-protein coupled receptors is presented. We demonstrate that this kinetic model can make significantly different predictions than an equilibrium ternary complex model, which provides a different perspective on multiple aspects of the signal transduction cascade, such as agonist efficacy, the effect of precoupled receptors, and the role of RGS proteins. Incorporation of the reaction kinetics is critical for a complete understanding of signal transduction and will ultimately impact the fields of drug discovery and drug design.

Biotransformation↗

Modeling activation and desensitization of G-protein coupled receptors provides insight into ligand efficacy.

Signaling through G-protein coupled receptors is one of the most prevalent and important methods of transmitting information to the inside of cells. Many mathematical models have been proposed to describe this type of signal transduction, and the ternary complex (ligand/receptor/G-protein) model and its derivatives are among the most widely accepted. Current versions of these equilibrium models include both active (i.e. signaling) and inactive conformations of the receptor, but do not include the dynamics of G-protein activation or receptor desensitization. Yet understanding how these dynamic events effect response behavior is crucial to determining ligand efficacy. We developed a mathematical model for G-protein coupled receptor signaling that includes G-protein activation and receptor desensitization, and used it to predict how activation and desensitization would change if either the conformational selectivity (the effect of ligand binding on the distribution of active and inactive receptor states) or the desensitization rate constant was ligand-specific. In addition, the model was used to explore the implications of measuring responses far downstream from G-protein activation. By comparing the experimental data from the beta(2)-adrenergic, micro-opioid, D(1)dopamine, and neutrophil N -formyl peptide receptors with the predictions of our model, we found that the conformational selectivity is the predominant factor in determining the amounts of activation and desensitization caused by a particular ligand.

Dose-Response Relationship, Drug↗

A mathematical model for ligand/receptor/G-protein dynamics and actin polymerization in human neutrophils.

A mathematical model is proposed for describing the dynamics of the chemotactic peptide-stimulated actin polymerization response in human neutrophils. The response pathway utilizes the guanine nucleotide binding protein (G-protein) signal transduction cascade common to many receptor systems and allows adaptation in the continued presence of ligand. The development of such a model is an important first step toward understanding, predicting, and ultimately manipulating neutrophil responses. The model is divided into two parts, ligand/receptor/G-protein dynamics and the actin polymerization mechanism. Fast (receptor precoupled to G-protein) and slow (free receptor) signaling pathways involving ligand/receptor/G-protein interactions produce an activated signaling molecule. The actin polymerization mechanisms utilizes an actin binding protein which complexes with actin monomer and inhibits polymerization in an unstimulated cell. During stimulation, the activated signaling molecule enhances the dissociation of monomer/binding protein complexes, allowing the actin polymerization response to occur. The fast and slow signaling pathways are predicted to have different roles in controlling the time course of this actin polymerization. Additionally, precoupled receptors are predicted to have a larger ligand association rate constant than non-precoupled (free) receptors. Model simulations agree with many of the experimentally observed characteristics of both the stimulated F-actin response and ligand/receptor binding kinetics for both the fluorescent peptide ligand CHO-norleucyl-leucyl-phenylalanyl-norleucyl-tyrosyl-lysine-fluorescein (CHO-NLFNTK-fl) and the non-fluorescent peptide ligand CHO-methionyl-leucyl-phenylalanine (CHO-MLF).

Actins↗

Threshold and graded response behavior in human neutrophils: effect of varying G-protein or ligand concentrations.

Observing the qualitative characteristics of response behavior as key variables in the signal transduction cascade are changed can provide insight into the fundamental roles of these interactions in producing cellular responses. Using flow cytometric assays and pertussis toxin (PT) treatment of human neutrophils, we have shown that actin polymerization stimulated with the chemoattractants N-formyl-Met-Leu-Phe, leukotriene B4, and interleukin-8 exhibits threshold behavior in terms of G-protein number. Partial PT treatment resulted in both responding and nonresponding populations of cells upon stimulation. As PT treatment was increased, the responding population of cells continued to respond maximally, while the number of cells responding decreased. We also showed that N-formyl peptide-stimulated oxidant production exhibits threshold behavior in terms of G-protein number, and the threshold for oxidant production is significantly greater than that for actin polymerization. The threshold behavior observed with PT treatment contrasted with the graded response behavior seen when cells were stimulated with different doses of ligand. For actin polymerization, only one population of cells was observed at submaximal ligand concentrations, and as ligand concentration was decreased the whole population responded submaximally. For oxidant production, as ligand concentration was decreased there were two populations of cells, but the responding cells responded submaximally. A mathematical model incorporating receptor/ligand binding and G-protein activation was developed to account for these differences in response behavior. Our results predict that an early signal transduction event in addition to, and not initiated by G-protein activation, is necessary to account for actin polymerization and oxidant production in neutrophils.

Actins↗

Microtubule assembly is regulated by externally applied strain in cultured smooth muscle cells.

Mechanical forces clearly regulate the development and phenotype of a variety of tissues and cultured cells. However, it is not clear how mechanical information is transduced intracellularly to alter cellular function. Thermodynamic modeling predicts that mechanical forces influence microtubule assembly, and hence suggest microtubules as one potential cytoskeletal target for mechanical signals. In this study, the assembly of microtubules was analyzed in rat aortic smooth muscle cells cultured on silicon rubber substrates exposed to step increases in applied strain. Cytoskeletal and total cellular protein fractions were extracted from the cells following application of the external strain, and tubulin levels were quantified biochemically via a competitive ELISA and western blotting using bovine brain tubulin as a standard. In the first set of experiments, smooth muscle cells were subjected to a step-increase in strain and the distribution of tubulin between monomeric, polymeric, and total cellular pools was followed with time. Microtubule mass increased rapidly following application of the strain, with a statistically significant increase (P<0.05) in microtubule mass from 373+/-32 pg/cell (t=0) to 514+/-30 pg/cell (t=15 minutes). In parallel, the amount of soluble tubulin decreased approximately fivefold. The microtubule mass decreased after 1 hour to a value of 437+/-24 pg/cell. In the second set of experiments, smooth muscle cells were subjected to increasing doses of externally applied strain using a custom-built strain device. Monomeric, polymeric, and total tubulin fractions were extracted after 15 minutes of applied strain and quantified as for the earlier experiments. Microtubule mass increased with increasing strain while total cellular tubulin levels remained essentially constant at all strain levels. These findings are consistent with a thermodynamic model which predicts that microtubule assembly is promoted as a cell is stretched and compressional loads on the microtubules are presumably relieved. Furthermore, these data suggest microtubules are a potential target for translating changes in externally applied mechanical stimuli to alterations in cellular phenotype.

Animals↗

Mechanistic model of G-protein signal transduction. Determinants of efficacy and effect of precoupled receptors.

Tissue-specific characteristics (e.g. receptor number) and agonist-specific characteristics (e.g. agonist binding kinetics) play roles in determining cellular response. The roles that these characteristics play are quantified by models of signal transduction. We examined signal transduction through G-protein-linked receptors, using a model based on the collision coupling model but including interconverting receptor states and the precoupling of receptors with G-proteins prior to the addition of agonist. Reaction and diffusion of molecules within the plasma membrane were simulated using Monte Carlo techniques. The G-protein activation produced by our model was compared with that produced by the collision coupling model. We quantitatively examined how the parameters characteristic of the tissue and agonist determine the midpoint and maximal response of the dose-response curve. Activation through agonist binding to precoupled receptors can produce significantly higher activation rates than does collision coupling. Tissue and agonist characteristics have qualitatively similar effects but quantitatively distinct effects on activation for the two models. Using standard experimental techniques, it may be possible to exploit these differences to determine the mechanism of G-protein activation in a specific cell system. A quantitative comparison of model predictions with published data on the beta-adrenergic receptor system (Stickle D and Barber R, Mole Pharmacol 40: 276-288, 1991) also is presented.

Animals↗

Calculation of diffusion-limited kinetics for the reactions in collision coupling and receptor cross-linking.

Both enzyme (e.g., G-protein) activation via a collision coupling model and the formation of cross-linked receptors by a multivalent ligand involve reactions between two molecules diffusing in the plasma membrane. The diffusion of these molecules is thought to play a critical role in these two early signal transduction events. In reduced dimensions, however, diffusion is not an effective mixing mechanism; consequently, zones in which the concentration of particular molecules (e.g., enzymes, receptors) becomes depleted or enriched may form. To examine the formation of these depletion/ accumulation zones and their effect on reaction rates and ultimately the cellular response, Monte Carlo techniques are used to simulate the reaction and diffusion of molecules in the plasma membrane. The effective reaction rate at steady state is determined in terms of the physical properties of the tissue and ligand for both enzyme activation via collision coupling and the generation of cross-linked receptors. The diffusion-limited reaction rate constant is shown to scale with the mean square displacement of a receptor-ligand complex. The rate constants determined in the simulation are compared with other theoretical predictions as well as experimental data.

Animals↗

Mathematical modeling of helper T lymphocyte/antigen-presenting cell interactions: analysis of methods for modifying antigen processing and presentation.

Helper T lymphocytes (Th cells) are activated by contact with antigen-presenting cells (APCs) that have processed and presented the appropriate MHC-peptide complexes. Two experimental methods for modifying antigen processing and presentation include altering the properties of the antigen and altering the method of antigen uptake. Mathematical modeling was used to investigate the effects of these two methods on the Th cell response. Two mathematical models were used, one for relating the external antigen concentration to the number of MHC-peptide complexes to the number of bound T cell receptors (TCRs) on the Th cell. Large values of MHC/peptide affinity were predicted to compensate for small values of TCR/MHC-peptide affinity in particular parameter ranges. Similarly, large values of antigen receptor number were predicted to compensate for small values of antigen receptor affinity in particular parameter ranges. Results were shown to agree with a variety of experimental data. In addition, model predictions suggest that knowledge of MHC/peptide, TCR/MHC-peptide, and receptor/antigen affinities is not sufficient to accurately describe an experimental system; the kinetic rate constants can dramatically affect antigen processing and presentation, the Th-APC interaction, and the Th cell response. This theoretical approach is useful not only for interpreting experimental data but also for guiding future experiments aimed at manipulating the Th cell response.

Antigen Presentation↗

Interconverting receptor states at 4 degrees C for the neutrophil N-formyl peptide receptor.

With the aid of high time resolution kinetic data extracted from a flow cytometer, we determined that there are two N-formyl peptide receptor states for human neutrophils at 4 degrees C: a low affinity and a high affinity state. Competitive binding of FMLP, FNLP, and t-BOC with FNLPNTL-FL revealed different kinetic rate constants for two distinct reactions that control the lifetime of the low affinity ligand-receptor complex. For these ligands, the rate constant for dissociation of ligand from the low affinity receptor state (the first reaction) ranges in order of magnitude from 10(-2) to 1 s-1, and the conversion rate constant from the low affinity receptor state to the high affinity receptor state (the second reaction) ranges from 10(-4) to 10(-2) s-1. The antagonist t-BOC differed most significantly from the three agonists by having an association rate constant for the low affinity receptor on the order of 10(5) M-1 s-1; the value for all three agonists was on the order of 10(7) M-1 s-1. Characterization of the receptor conversion at 4 degrees C revealed that it is irreversible (or very slow) and independent of Gi protein and that neither receptor state is a form of receptor precoupled to Gi protein. The affinity conversion and the dissociation characteristics of each receptor state determine the duration of the signaling complex and may contribute to differences in ligand efficacy.

Binding, Competitive↗

Receptor up-regulation, internalization, and interconverting receptor states. Critical components of a quantitative description of N-formyl peptide-receptor dynamics in the neutrophil.

High resolution kinetic data of the binding of fluorescent peptide to the N-formyl peptide receptor of neutrophils at 37 degrees C has allowed for the development of a ligand binding model that predicts statistically larger binding rate constants than those previously reported for intact neutrophils. The new model accounts for ligand association and dissociation, receptor up-regulation, ligand-receptor complex internalization, a change in receptor affinity, and the quenching of internalized fluorescent ligand. We determined that receptor up-regulation is both agonist- and temperature-induced and is inhibited by both phenylarsine oxide and pertussis toxin treatment. Model fits of ligand association to pertussis toxin-treated cells show that while receptor up-regulation was inhibited, rate constants for ligand binding, receptor affinity conversion, and internalization of ligand-receptor complexes were unaffected. Results suggest Gi-protein-mediated receptor up-regulation and Gi-protein-independent receptor affinity conversion. Simulation of ligand infusion using our model gives insight into the quantitative and dynamic relationship between the low affinity ligand-receptor complex and the actin polymerization response.

Amino Acid Sequence↗

Rapid oscillations of actin polymerization/depolymerization in polymorphonuclear leukocytes stimulated by leukotriene B4 and platelet-activating factor.

We previously showed that activation of polymorphonuclear leukocytes by leukotriene B4 (LTB4) and platelet-activating factor produces a rapidly oscillating actin polymerization/depolymerization response. In this study, we show that 1) oscillations are not due to the stimulated cyclic release of autocoids that could bind to cell surface receptors and activate subsequent cycles; 2) oscillations are not related to oscillations of ligand binding; and 3) the particular kinetic pattern is a property of the receptor, not of the binding constants of the ligand. The major conclusion of these studies is that the oscillations are a property of the intrinsic signaling pathways triggered by these chemoattractants. We also questioned whether increased actin nucleation activity was induced by LTB4 and found that, although LTB4 induced a transient actin nucleation response, there was not a direct correlation between oscillations of the actin polymerization/depolymerization and the actin nucleation activity. This suggests that processes other than actin nucleation, such as release of monomeric actin from monomer sequestering proteins and regulation of depolymerization, are likely to be involved.

Actins↗

Antigen-presenting cell lines internalize peptide antigens via fluid-phase endocytosis.

In this report, we present experimental evidence that antigen-presenting cell lines take up peptide antigens in a manner consistent with fluid-phase endocytosis. Using the fluid phase endocytic marker inulin and a mathematical model for fluid phase uptake, we have found a basal uptake rate constant of approximately 0.9-2 microns 3/cell minutes in A20, TA3, and J774 cells. An influenza virus peptide, PB2(303-313), the octapeptide, angiotensin II, an ovalbumin peptide, OVA(323-339), and a guinea pig myelin basic protein peptide, MBP(72-86), have uptake rate constants comparable to inulin, i.e., between 1 and 4 microns3/cell minutes in A20 cells. However, another influenza virus peptide, PB2(146-159), has an uptake rate constant approximately sixfold higher than that found for inulin in A20 cells. We have also determined that the peptide antigens we tested are retained in A20 cells similarly to inulin, with half-times calculated to be from 2 to 13 min as compared to 2 min for inulin. Notably, these results were obtained over short incubation times (up to 20 min) and under conditions that restrict peptide proteolysis and also protein synthesis. We conclude from these studies that peptide antigens enter antigen-presenting cells via fluid-phase endocytosis.

Animals↗

Calcium response of helper T lymphocytes to antigen-presenting cells in a single-cell assay.

We developed a dynamic, single-cell assay involving alternating differential interference contrast and fluorescence microscopy, together with digital imaging, for both viewing the physical interaction of live helper T lymphocytes (Th cells) with antigen-presenting cells (APCs) and monitoring the increases in the intracellular free calcium concentration of the Th cell, an early event in Th cell activation. We obtained Th-APC conjugates by allowing the Th cells to migrate toward and interact with APCs that either settled nearby or had been micromanipulated in close proximity to the Th cells. Th cell motility played an important role in initiating Th-APC contacts but not in determining the Th cell calcium response. We found that the intracellular calcium responses of individual Th cells are heterogeneous and an all-or-none phenomenon, independent of antigen concentration. However, the fraction of Th-APC conjugates involving responding Th cells is an increasing function of the antigen concentration. Finally, we measured some characteristics of the developing Th-APC contact area. We used all of these data together with previously developed mathematical models to estimate that only 1 to 20 major histocompatibility class II-antigen complexes are required in the initial Th-APC contact area to elicit a Th cell calcium response.

Analysis of Variance↗

A Monte Carlo study of the dynamics of G-protein activation.

To link quantitatively the cell surface binding of ligand to receptor with the production of cellular responses, it may be necessary to explore early events in signal transduction such as G-protein activation. Two different model frameworks relating receptor/ligand binding to G-protein activation are examined. In the first framework, a simple ordinary differential equation model is used to describe receptor/ligand binding and G-protein activation. In the second framework, the events leading to G-protein activation are simulated using a dynamic Monte Carlo model. In both models, reactions between ligand-bound receptors and G-proteins are assumed to be diffusion-limited. The Monte Carlo model predicts two regimes of G-protein activation, depending upon whether the lifetime of a receptor/ligand complex is long or short compared with the time needed for diffusional encounters of complexes and G-proteins. When the lifetime of a complex is relatively short compared with the diffusion time, the movement of ligand among free receptors by binding and unbinding ("switching") significantly enhances G-protein activation. Receptor antagonists dramatically reduce G-protein activation and, thus, signal transduction in this case, and significant clustering of active G-proteins near receptor/ligand complexes results. The simple ordinary differential equation model poorly predicts G-protein activation for this situation. In the alternative case, when diffusion is relatively fast, ligand movement among receptors is less important and the simple ordinary differential equation model and Monte Carlo model results are similar. In this case, there is little clustering of active G-proteins near receptor/ligand complexes. Results also indicate that as the GTPase activity of the alpha-subunit decreases, the steady-state level of alpha-GTP increases, although temporal sensitivity is compromised.

Animals↗

Independent pathways regulate the cytosolic [Ca2+] initial transient and subsequent oscillations in individual cultured arterial smooth muscle cells responding to extracellular ATP.

Stimulation with extracellular ATP causes a rapid initial transient rise followed by asynchronous periodic oscillations in cytosolic calcium ion activity ([Ca2+]i) in individual aortic smooth muscle cells in either HEPES-buffered or HCO3(-)-buffered saline. The dose at which one-half of the cells display an initial rise in cytosolic calcium is 0.11 microM ATP in the presence of external Ca2+ and 0.88 microM ATP in the absence of external Ca2+; the corresponding value for oscillations in the presence of external Ca2+ is 2.6 microM ATP. While the initial transient displays rapid desensitization, the oscillations persist for greater than 30 min in the continuous presence of ATP. The presence of the agonist ATP is also absolutely required for the maintenance of the oscillations, presumably to provide continuous activation of P2 purinoceptors. The average frequency of oscillation is approximately 0.9 min-1. The frequency depends only slightly on the concentration of ATP, and oscillations do not collapse into a prolonged elevated [Ca2+]i at high concentrations of ATP. Both Ca2+ influx and release from internal stores participate in the initial transient. Oscillations are not produced in the absence of external Ca2+ but are initiated upon the addition of external Ca2+ in the continued presence of ATP. Oscillations in progress are abolished by the removal of extracellular Ca2+ with one additional peak occurring after the Ca2+ removal. These data suggest that extracellular Ca2+ influx is required for the maintenance of the posttransient oscillations, presumably to provide the Ca2+ necessary for refilling intracellular Ca2+ pools that are the source of the oscillating [Ca2+]i. The Ca2+ influx is not regulated by voltage-gated Ca2+ channels. The data in this report are consistent with the view that the initial transient has contributions from two receptor-mediated pathways, and the oscillations are controlled either by a mechanism separate from the ones that control the initial transient or by steps whose control diverges before the point of desensitization.

Actins↗

Antigen processing and presentation: how can a foreign antigen be recognized in a sea of self proteins?

A mathematical model describing the time-dependent events of antigen processing and presentation is utilized to quantitatively analyze the importance of newly synthesized Ia molecules as well as Ia molecules internalized from the cell surface in the formation of Ia-antigen complexes, the T cell receptor ligand. It has recently been shown that antigen presenting cells are not selective for the proteins they process and present. Therefore, we also investigate the ability of macrophages and B cells to process and present antigen in the presence of competing proteins often present in the extracellular environment. A set of criteria is formulated based upon experimental data to determine the validity of two model variations. We draw two major conclusions from our simulations. First, we determine that macrophages and B cells can present between 1-3 Ia-antigen complexes micron-2 for antigen concentrations in the range of 4-7 microM while in the presence of approximately 0-10 microM competing proteins or peptides. Second, we find it likely that antigen presenting cells, both B cells and macrophages, need to internalize Ia molecules from the cell surface in order for a sufficient number of Ia-antigen complexes to be presented. Binding of antigen to newly synthesized Ia alone does not, given experimentally reported values for Ia synthesis, allow sufficient Ia-antigen complex formation.

B-Lymphocytes↗