Cooperative mechanism for improving the discriminating ability in the chemoreceptor neuron Binomial case

The discriminating ability (selectivity) of the chemoreceptor neuron is compared with that of its receptor proteins. The process of neuronal triggering is expected to be cooperative and threshold type in a sense that the neuron fires a spike if and only if the number of receptor proteins which are bound with odor molecules is above a definite threshold. The binomial distribution is utilized to estimate the firing probability if a definite odor is applied. It is established that a chemoreceptor neuron can have a much higher selectivity than its individual receptor proteins, provided that the chemical stimuli are presented at low concentrations. A possibility for the above mechanism to be valid in other sensory systems is discussed. Received: 20 July 1998 / Accepted in revised form: 30 April 1999     

The Role of Membrane-Mediated Interactions in the Assembly and Architecture of Chemoreceptor Lattices

In vivo fluorescence microscopy and electron cryo-tomography have revealed that chemoreceptors self-assemble into extended honeycomb lattices of chemoreceptor trimers with a well-defined relative orientation of trimers. The signaling response of the observed chemoreceptor lattices is remarkable for its extreme sensitivity, which relies crucially on cooperative interactions among chemoreceptor trimers. In common with other membrane proteins, chemoreceptor trimers are expected to deform the surrounding lipid bilayer, inducing membrane-mediated anisotropic interactions between neighboring trimers. Here we introduce a biophysical model of bilayer-chemoreceptor interactions, which allows us to quantify the role of membrane-mediated interactions in the assembly and architecture of chemoreceptor lattices. We find that, even in the absence of direct protein-protein interactions, membrane-mediated interactions can yield assembly of chemoreceptor lattices at very dilute trimer concentrations. The model correctly predicts the observed honeycomb architecture of chemoreceptor lattices as well as the observed relative orientation of chemoreceptor trimers, suggests a series of “gateway” states for chemoreceptor lattice assembly, and provides a simple mechanism for the localization of large chemoreceptor lattices to the cell poles. Our model of bilayer-chemoreceptor interactions also helps to explain the observed dependence of chemotactic signaling on lipid bilayer properties. Finally, we consider the possibility that membrane-mediated interactions might contribute to cooperativity among neighboring chemoreceptor trimers.     

The mobility of two kinase domains in the Escherichia coli chemoreceptor array varies with signalling state

Motile bacteria sense their physical and chemical environment through highly cooperative, ordered arrays of chemoreceptors. These signalling complexes phosphorylate a response regulator which in turn governs flagellar motor reversals, driving cells towards favourable environments. The structural changes that translate chemoeffector binding into the appropriate kinase output are not known. Here, we apply high‐resolution electron cryotomography to visualize mutant chemoreceptor signalling arrays in well‐defined kinase activity states. The arrays were well ordered in all signalling states, with no discernible differences in receptor conformation at 2–3 nm resolution. Differences were observed, however, in a keel‐like density that we identify here as CheA kinase domains P1 and P2, the phosphorylation site domain and the binding domain for response regulator target proteins. Mutant receptor arrays with high kinase activities all exhibited small keels and high proteolysis susceptibility, indicative of mobile P1 and P2 domains. In contrast, arrays in kinase‐off signalling states exhibited a range of keel sizes. These findings confirm that chemoreceptor arrays do not undergo large structural changes during signalling, and suggest instead that kinase activity is modulated at least in part by changes in the mobility of key domains.     

Why are insect olfactory receptor neurons grouped into sensilla? The teachings of a model investigating the effects of the electrical interaction between neurons on the transepithelial potential and the neuronal transmembrane potential

Insect olfactory receptor neurons are compartmentalized in sensilla. In a sensillum, typically two receptor neurons are in close contact and can influence each other through electrical interaction during stimulation. This interaction is passive, non-synaptic and a consequence of the electrical structure of the sensillum. It is analysed in a sensillum model and its effects on the neuron receptor potentials are investigated. The neurons in a sensillum can be both sensitive to a given odorant compound with the same sensory threshold or with different thresholds, or only one neuron be sensitive to the odorant. These three types of sensilla are compared with respect to maximum amplitude, threshold and dynamic range of the potentials. It is found that gathering neurons in the same sensillum is disadvantageous if they are identical, but can be advantageous if their thresholds differ. Application of these results to actual recordings from pheromone and food-odour olfactory sensilla is discussed.     

Initial selectivity of the antiplatelet covalent action of biogenic chloramines on platelet-rich plasma

To describe in full the peculiarities of the antiplatelet action of covalent inhibitors on platelet-rich plasma, we have proposed to take into account the initial selectivity that determines the elevated efficacy of inactivation of platelet molecular target (receptor). The quantitative index of initial selectivity is the ratio of rate constant of inactivation of the platelet molecular target to the rate constant of the chemical reaction of an inhibitor with reactive atomic groups in plasma proteins. For the important case of the domination of the inhibitor expenditure in the reaction with plasma proteins, a formula was derived which depicts the dependence of the share of inactivated targets on the concentration of the inhibitor introduced and reactive atomic groups contained in plasma. In the case of chloramine derivatives of amino acids, evidence was obtained indicating that the degree of inhibition of platelet aggregation measured by the turbidimetric method is equal to the square of the share of inactivated receptors. The index of initial selectivity can be evaluated by measuring the degree of inhibition of platelet aggregation and the operating concentration of the inhibitor. According to experimental evidence, the effects of a number of chloramine derivatives of amino acids (biochloramines) on aggregation of platelets stimulated by ADP show selectivity at the molecular target level, so that the index of initial selectivity is greater than 1. The mechanism of the selective action of the biochloramines having significant molecular masses (150-200 Da) probably consists in the inactivation of the molecular target via chemical modification of several reactive atomic groups in its different sites. One may suppose that the biochloramines with lower molecular masses (150-100 Da) exhibit a high anti-aggregatory capacity owing to another mechanism of initial selectivity, which involves the modification of highly sensitive sulfur-containing atomic groups.     

Mutationally altered signal output in the Nart (NarX-Tar) hybrid chemoreceptor

Signal-transducing proteins that span the cytoplasmic membrane transmit information about the environment to the interior of the cell. In bacteria, these signal transducers include sensor kinases, which typically control gene expression via response regulators, and methyl-accepting chemoreceptor proteins, which control flagellar rotation via the CheA kinase and CheY response regulator. We previously reported that a chimeric protein (Nart) that joins the ligand-binding, transmembrane, and linker regions of the NarX sensor kinase to the signaling and adaptation domains of the Tar chemoreceptor elicits a repellent response to nitrate and nitrite. As with NarX, nitrate evokes a stronger response than nitrite. Here we show that mutations targeting a highly conserved sequence (the P box) in the periplasmic domain alter chemoreception by Nart and signaling by NarX similarly. In particular, the G51R substitution converts Nart from a repellent receptor into an attractant receptor for nitrate. Our results underscore the conclusion that the fundamental mechanism of transmembrane signaling is conserved between homodimeric sensor kinases and chemoreceptors. They also highlight the plasticity of the coupling between ligand binding and signal output in these systems.     

Coding of stimulus intensity in an olfactory receptor neuron: Role of neuron spatial extent and passive dendritic backpropagation of action potentials

The olfactory receptor neuron provides a good opportunity to analyze a biophysical model of a single neuron because its dendritic structure is simple and even close to a cylinder in the case of the moth sex-pheromone receptor cell. We have considered this cylindrical case and studied two main problems. First, we were concerned with the effect of the neuron's length on the receptor potential for a constant stimulus-induced conductance change. An analytical solution for the receptor potential was determined by using input, resistances. It was shown that the longer the neuron, the greater its ability to code over a wide range of values of the intensity of the stimulus. Second, we studied numerically the passive backpropagation of action potentials into the dendrite and its influence on the firing frequency. While propagating along the dendrite the action potential decreases in amplitude and its shape becomes rounded. The firing frequency in the model with backpropagation was found to be greater than that obtained analytically in the absence of backpropagation. However, for any given conductance change, when normalized with respect to their maxima, both firing frequencies were found to be very similar over a wide range of parameter values. Therefore, the actual firing rate (with backpropagation) may be approximated by the analytical solution without backpropagation if the actual firing rate for a large conductance change is known.     

On some properties of stochastic information processes in neurons and neuron populations

The information in the nervous spike trains and its processing by neural units are discussed. In these problems, our attention is focused on the stochastic properties of neurons and neuron populations. There are three subjects in this paper, which are the spontaneous type neuron, the forced type neuron and the reciprocal inhibitory pairs.

1. The spontaneous type neuron produces spikes without excitatory inputs. The mathematical model has the following assumptions. The neuron potential (NP) has the fluctuation and obeys the Ornstein-Uhlenbeck process, because the N P is not so perfectly random as that of the Wiener process but has an attraction to the rest value. The threshold varies exponentially and the NP has the constant lower limit. When the NP reaches the threshold, the neuron fires and the NP is reset to a certain position. After a firing, an absolute refractory period exists. In discussing the stochastic properties of neurons, the transition probability density function and the first passage time density function are the important quantities, which are governed by the Kolmogorov's equations. Although they can be set up easily, we can rarely obtain the analytical solutions in time domain. Moreover, they cover only simple properties. Hence the numerical analysis is performed and a good deal of fair results are obtained and discussed.
2. The forced type neuron has input pulse trains which are assumed to be based on the Poisson process. Other assumptions and methods are almost the same as above except the diffusion approximation of the stochastic process. In this case, we encounter the inhomogeneous process due to the pulse-frequency-modulation, whose first passage time density reveals the multimodal distribution. The numerical analysis is also tried, and the output spike interval density is further discussed in the case of the periodic modulation.
3. Two types of reciprocal inhibitory pairs are discussed. The first type has two excitatory driving inputs which are mutually independent. The second type has one common excitatory input but it advances in two ways, one of which has a time lag. The neuron dynamics is the same as that of the forced type neuron and each neuron has an identical structure. The inputs are assumed to be based on the Poisson process and the inhibition occurs when the companion neuron fires. In this case, the equations of the probability density functions are not obtained. Hence the computer simulation is tried and it is observed that the stochastic rhythm emerges in spite of the temporally homogeneous inputs. Furthermore, the case of inhomogeneous inputs is discussed.

     

A Dynamic Corral Model of Receptor Trafficking at a Synapse

The postsynaptic density (PSD) is a cytoskeletal specialization within the postsynaptic membrane of a neuron that helps to concentrate and organize neurotransmitter receptors at a chemical synapse. The total number of receptors within the PSD, which is a major factor in determining the physiological strength or weight of a synapse, fluctuates due to the surface diffusion of receptors into and out of the PSD, and the interactions of receptors with scaffolding proteins and cytoskeletal elements within the PSD. In this article, we present a stochastic model of protein receptor trafficking at the PSD that takes into account these various processes. The PSD is treated as a stochastically gated corral, which contributes a source of extrinsic or environmental noise that supplements the intrinsic noise arising from small receptor numbers. Using a combination of stochastic analysis and Monte Carlo simulations, we determine the time-dependent variation in the mean and variance of synaptic receptor numbers for a variety of initial conditions that simulate fluorescence recovery after photobleaching experiments, and indicate how such data might be used to infer certain properties of the PSD.     

Quality coding by neural populations in the early olfactory pathway: analysis using information theory and lessons for artificial olfactory systems

In this article, we analyze the ability of the early olfactory system to detect and discriminate different odors by means of information theory measurements applied to olfactory bulb activity images. We have studied the role that the diversity and number of receptor neuron types play in encoding chemical information. Our results show that the olfactory receptors of the biological system are low correlated and present good coverage of the input space. The coding capacity of ensembles of olfactory receptors with the same receptive range is maximized when the receptors cover half of the odor input space - a configuration that corresponds to receptors that are not particularly selective. However, the ensemble's performance slightly increases when mixing uncorrelated receptors of different receptive ranges. Our results confirm that the low correlation between sensors could be more significant than the sensor selectivity for general purpose chemo-sensory systems, whether these are biological or biomimetic.     

A receptor scaffold mediates stimulus-response coupling in bacterial chemotaxis

The mechanism of stimulus-response coupling in bacterial chemotaxis has emerged as a paradigm for understanding general features of intracellular signal transduction both in bacterial and eukaryotic cells. Until recently it was thought that the mechanism involved reversible stochastic interactions between dimeric receptors freely diffusing in the cytoplasmic membrane and several soluble signal transduction proteins within the cytoplasm. Recent results have shown that this view is an oversimplification. The receptors and most of the signal transduction proteins are organized together in a higher ordered structure at one pole of the bacterial cell. The scaffolding network within this structure appears to be composed of C-terminal alpha-helical extensions of the membrane chemoreceptor proteins held together in a lattice by tandem SH3-like domains. Results suggest that stimuli are detected through the perturbations they induce in scaffolding architecture.     

Some properties of randomly connected networks of neuron-like elements with refractory

Dynamic properties of randomly connected networks consisting of neuron-like elements with refractory are investigated from a macroscopic point of view. Equations describing the transition of the activity level of the network — a macroscopic state — are derived under some hypotheses on the stochastic properties of the network. The equations are characterized by a set of parameters which are determined by distributions of the threshold values of elements and the weighting values of connection between elements. It is shown that a network behaves like a monostable, bistable or astable circuit when its refractory period is less than one time unit and that a network is monostable or bistable when its refractory period is longer than two time units. An oscillatory network, on the other hand, is always realized if the network has a feedback mechanism which decreases the excitability of neurons when high activity level is sustained. Some results of computer simulation of randomly connected neuron networks are also presented.     

The C. elegans thermosensory neuron AFD responds to warming

The mechanism of temperature sensation is far less understood than the sensory response to other environmental stimuli such as light, odor, and taste. Thermotaxis behavior in C. elegans requires the ability to discriminate temperature differences as small as approximately 0.05 degrees C and to memorize the previously cultivated temperature. The AFD neuron is the only major thermosensory neuron required for the thermotaxis behavior. Genetic analyses have revealed several signal transduction molecules that are required for the sensation and/or memory of temperature information in the AFD neuron, but its physiological properties, such as its ability to sense absolute temperature or temperature change, have been unclear. We show here that the AFD neuron responds to warming. Calcium concentration in the cell body of AFD neuron is increased transiently in response to warming, but not to absolute temperature or to cooling. The transient response requires the activity of the TAX-4 cGMP-gated cation channel, which plays an essential role in the function of the AFD neuron. Interestingly, the AFD neuron further responds to step-like warming above a threshold that is set by temperature memory. We suggest that C. elegans provides an ideal model to genetically and physiologically reveal the molecular mechanism for sensation and memory of temperature information.     

Caste-Specific and Sex-Specific Expression of Chemoreceptor Genes in a Termite

The sophisticated colony organization of eusocial insects is primarily maintained through the utilization of pheromones. The regulation of these complex social interactions requires intricate chemoreception systems. The recent publication of the genome of Zootermopsis nevadensis opened a new avenue to study molecular basis of termite caste systems. Although there has been a growing interest in the termite chemoreception system that regulates their sophisticated caste system, the relationship between division of labor and expression of chemoreceptor genes remains to be explored. Using high-throughput mRNA sequencing (RNA-seq), we found several chemoreceptors that are differentially expressed among castes and between sexes in a subterranean termite Reticulitermes speratus. In total, 53 chemoreception-related genes were annotated, including 22 odorant receptors, 7 gustatory receptors, 12 ionotropic receptors, 9 odorant-binding proteins, and 3 chemosensory proteins. Most of the chemoreception-related genes had caste-related and sex-related expression patterns; in particular, some chemoreception genes showed king-biased or queen-biased expression patterns. Moreover, more than half of the genes showed significant age-dependent differences in their expression in female and/or male reproductives. These results reveal a strong relationship between the evolution of the division of labor and the regulation of chemoreceptor gene expression, thereby demonstrating the chemical communication and underlining chemoreception mechanism in social insects.     

Molecular and cellular organization of insect chemosensory neurons

Animals use their chemosensory systems to detect and discriminate among chemical cues in the environment. Remarkable progress has recently been made in our knowledge of the molecular and cellular basis of chemosensory perception in insects, based largely on studies in Drosophila. This progress has been possible due to the identification of gene families for olfactory and gustatory receptors, the use of electro-physiological recording techniques on sensory neurons, the multitude of genetic manipulations that are available in this species, and insights from several insect model systems. Recent studies show that the superfamily of chemoreceptor proteins represent the essential elements in chemosensory coding, endowing chemosensory neurons with their abilities to respond to specific sets of odorants, tastants or pheromones. Investigating how insects detect chemicals in their environment can show us how receptor protein structures relate to ligand binding, how nervous systems process complex information, and how chemosensory systems and genes evolve.     

Metabolic regulation of neuron functions

A short analytical review of Soviet and foreign studies devoted to metabolic regulation of neuron functioning is presented. It is shown that the electrical activity of neuron is accompanied by structural changes and an increase in RNA content. It is assumed that these changes are initiated by calcium ions, coming to the neuron during its excitation. The principles of metabolic regulation of functioning of electro- and chemoexcitable neuronal membranes are considered. It is shown that the metabolic reactions can be an intermediate between the activated chemoreceptor and the electrical response of the cell. Evidence is presented that the electroexcitable and chemosensitive structures in the membrane modulate each other. The role of intracellular messengers in regulating the activity of receptors and channels is considered. Possible mechanisms for their modifications under the influence of cellular factors are discussed. It is shown that the work of neuron is controlled by several metabolic regulatory systems simultaneously.     

Selectivity and sensitivity improvement in co-operative systems with a threshold in the presence of noise.

High selectivity (specificity) and sensitivity to natural or artificial stimuli which are normally observed for biological systems can be realized in an ensemble composed of many co-operatively connected primary receptors. The co-operative interaction results in the formation of several stable states and a switching from one state to another is performed in a threshold manner. When any noise is absent the ensemble with a threshold can secure as high a selectivity and sensitivity as is desired. The presence of noise sets limits on the possible informational quality of a system because spontaneous switchings will occur. The question: What advantage as regards selectivity and sensitivity can a co-operative system with a threshold have is considered quantitatively as an example for a bistable chemical system. As a result it is established that a co-operative system may have much higher selectivity and sensitivity than its individual primary receptors.