Influence of extracellular matrix proteins on the expression of neuronal polarity

The influence of laminin (LN) and fibronectin (FN) on the differentiation of individual neurones from the embryonic rat central nervous system was studied in vitro. In control cultures or in the presence of soluble FN, most neurones had several dendrite-like and one axon-like processes. On substratum-bound LN, multipolar and unipolar cells were present. Soluble LN and bound FN induced a very simple neuronal morphology, most neurones having only one axon-like neurite as defined by morphological and immunocytochemical characteristics. The significant reduction of neuronal adhesion and spreading in conditions leading to the growth inhibition of dendrite-like processes suggests that, contrary to that of axons, dendrite growth strongly depends on neuronal adhesion. We propose a model in which the different dependency of axonal and dendritic outgrowth towards adhesion and spreading is explained by the respective physical properties of the two types of neurites.     

Neuronal Morphology: Shape Characteristics and Models

This paper is focused on quantification (morphometry) and modeling of neuronal morphological complexity. First, computer-aided methods for reconstruction, processing, and analysis of raw morphological data are reviewed. Then, topological and metrical measures are touched upon. Fractal measures (together with the extension of multiscale fractal dimension) are presented more explicitly. Models of neuronal arborizations are differentiated between reconstruction models and growth models (stochastic or mechanistic). The growth model approach is discussed in more detail. The methods presented are applied to several types of neurons and shown to have considerable discriminative power. Recent developments stress the importance of these methods for optimizing virtual neuronal trees in view of functional characteristics of the neurons. Neirofiziologiya/Neurophysiology, Vol. 40, No. 4, pp. 366–372, July–August, 2008.     

A comparative computer simulation of dendritic morphology

Computational modeling of neuronal morphology is a powerful tool for understanding developmental processes and structure-function relationships. We present a multifaceted approach based on stochastic sampling of morphological measures from digital reconstructions of real cells. We examined how dendritic elongation, branching, and taper are controlled by three morphometric determinants: Branch Order, Radius, and Path Distance from the soma. Virtual dendrites were simulated starting from 3,715 neuronal trees reconstructed in 16 different laboratories, including morphological classes as diverse as spinal motoneurons and dentate granule cells. Several emergent morphometrics were used to compare real and virtual trees. Relating model parameters to Branch Order best constrained the number of terminations for most morphological classes, except pyramidal cell apical trees, which were better described by a dependence on Path Distance. In contrast, bifurcation asymmetry was best constrained by Radius for apical, but Path Distance for basal trees. All determinants showed similar performance in capturing total surface area, while surface area asymmetry was best determined by Path Distance. Grouping by other characteristics, such as size, asymmetry, arborizations, or animal species, showed smaller differences than observed between apical and basal, pointing to the biological importance of this separation. Hybrid models using combinations of the determinants confirmed these trends and allowed a detailed characterization of morphological relations. The differential findings between morphological groups suggest different underlying developmental mechanisms. By comparing the effects of several morphometric determinants on the simulation of different neuronal classes, this approach sheds light on possible growth mechanism variations responsible for the observed neuronal diversity.     

Individual cell-based models of the spatial-temporal organization of multicellular systems--achievements and limitations.

Computational approaches of multicellular assemblies have reached a stage where they may contribute to unveil the processes that underlie the organization of tissues and multicellular aggregates. In this article, we briefly review and present some new results on a number of 3D lattice free individual cell-based mathematical models of epithelial cell populations. The models we consider here are parameterized by bio-physical and cell-biological quantities on the level of an individual cell. Eventually, they aim at predicting the dynamics of the biological processes on the tissue level. We focus on a number of systems, the growth of cell populations in vitro, and the spatial-temporal organization of regenerative tissues. For selected examples we compare different model approaches and show that the qualitative results are robust with respect to many model details. Hence, for the qualitative features and largely for the quantitative features many model details do not matter as long as characteristic biological features and mechanisms are correctly represented. For a quantitative prediction, the control of the bio-physical and cell-biological parameters on the molecular scale has to be known. At this point, slide-based cytometry may contribute. It permits to track the fate of cells and other tissue subunits in time and validated the organization processes predicted by the mathematical models.     

Organization of excitable dynamics in hierarchical biological networks

This study investigates the contributions of network topology features to the dynamic behavior of hierarchically organized excitable networks. Representatives of different types of hierarchical networks as well as two biological neural networks are explored with a three-state model of node activation for systematically varying levels of random background network stimulation. The results demonstrate that two principal topological aspects of hierarchical networks, node centrality and network modularity, correlate with the network activity patterns at different levels of spontaneous network activation. The approach also shows that the dynamic behavior of the cerebral cortical systems network in the cat is dominated by the network's modular organization, while the activation behavior of the cellular neuronal network of Caenorhabditis elegans is strongly influenced by hub nodes. These findings indicate the interaction of multiple topological features and dynamic states in the function of complex biological networks.     

Medullary motor neurones associated with drinking behaviour of Japanese eels

A fluorescent dye, Evans blue (EB), was injected into the following seven drinking-associated muscles of the Japanese eel Anguilla japonica : the sternohyoid, third branchial, fourth branchial, opercular, pharyngeal, upper oesophageal sphincter and oesophageal body muscles. The sternohyoid muscle promotes 'ingestion', and the remaining muscles contribute to 'swallowing'. All neurones stained by EB were located ipsilaterally in the caudal medulla oblongata (MO) of the Japanese eel. Neurones projecting into the sternohyoid muscle were identified as those in the spino-occipital motor nucleus (NSO), and neurones projecting into the remaining muscles as those in the glossopharyngeal–vagal motor complex (GVC). Within the GVC, the neuronal arrangement was topological, and hence, 'swallowing' will be completed if the GVC neurones 'fire' progressively from rostral to caudal. These neurones in the NSO and GVC may use acetylcholine (ACh) as a neurotransmitter, as the EB-positive neurones in both nuclei were immunoreactive against anticholine acetyltransferase (anti-ChAT) antibody. Besides the MO, some somata in a ganglion of the vagal nerve were also stained by EB injected into the pharyngeal, the upper oesophageal sphincter and the oesophageal body muscles. The localization and the shape of the somata suggest that they are sensory neurones. These sensory neurones were not ChAT-immunoreactive. Combining these results, based on a model for 'swallowing' in mammals, a plausible model for central organization of 'drinking' in the Japanese eel is proposed, which suggests that 'drinking' in the fishes is regulated by the neuronal circuit for 'swallowing' in mammals.     

Functional morphology of the enteric nervous system with special reference to large mammals.

This short review reports the latest insights into the structural organization of the enteric nervous system, with special emphasis on the intrinsic innervation of the intestinal tract of large omnivorous mammals such as the pig. Using various techniques, including lesion experiments, morphological and neurochemical features of distinct neuronal populations as well as the direction of the axonal processes within the different nerve networks could be revealed. Special attention was paid to the considerable species differences in this respect between large omnivorous animals and humans on the one hand and small laboratory animals on the other hand.     

IL-1 system in apoptosis of murine hippocampal neurons of dentate gyrus induced by trimethyltin administration

Growing evidence suggests that two modes of cell death, known as apoptosis and necrosis, are involved in postanoxic injury. The current opinion on these two types of cell death is that apoptosis and necrosis are not always the uniform and distinct events. The aim of this study was to determine ultrastructural criteria of postanoxic neuronal changes in model of anoxia in vitro . The organotypic cultures of rat hippocampus exposed to 10- and 20-min of anoxic insult revealed the morphological features classic for both necrotic and apoptotic neuronal cell injury. Some neurones exhibited the typical necrotic lysis whereas others clearly reflected an active apoptotic form of cell death consisting of nuclear condensation with early preservation of cell membranes. However, numerous damaged cells shared both apoptotic and necrotic ultrastructural characteristics. These results evidenced the morphological continuum between apoptosis and necrosis under anoxia in vitro .     

Histochemistry of nitric oxide synthase in the nervous system

Summary Nitric oxide synthase, which generates the physiological messenger molecule nitric oxide, and its associated NADPH diaphorase (NADPHd) activity are distributed throughout selective neuronal populations of the central and peripheral nervous system. Considerable evidence has been accumulated to indicate that NADPHd activity labels cells lacking neuronal nitric oxide synthase, i.e., the specificity of the reaction has to be considered for the reliable detection of the enzyme in neuronal but also non-neuronal tissue. In the present review, critical aspects of nitric oxide synthase visualization in neurones, using its NADPHd activity, are discussed. Furthermore, the organization of the central and peripheral nitric oxide synthase-containing neuronal systems is described. Nitric oxide synthase is present in local cortical and striatal neurones, hypothalamic magnocellular neurones, mesopontine cholinergic neurones, cerebellar interneurones, preganglionic sympathetic and parasympathetic neurones, neurones in parasympathetic autonomic and enteric ganglia and primary viscero-afferent neurones. Finally, injury-related alterations in nitric oxide synthase activity are briefly outlined. In this respect, the histochemistry of nitric oxide synthase may represent a valuable marker for neurochemical, if not structural, alterations observed in neural diseases, regeneration and transplantation.     

The effect of disconnecting the hippocampus from the septum on the activity of septal neurons]

Extracellular recording of neuronal activity was performed in the medial and lateral septal nuclei (MS and LS) in unanaesthetized rabbits after coagulation of septo-hippocampal connections. The MS neuronal activity had many pathological features. The LS activity was normal in every respect. Spontaneous activity, reactivity to sensory stimuli and main characteristics of responses to sensory stimuli were preserved in LS (and in a part of MS neurones). Sensory effects were augmented in intensity and duration, the number of neurones in LS with theta-bursts increased twofold, theta-bursts were more regular, than in control animals. These effects may be explained by an increase of ascending RF influences, which is supported by the fact of outstanding similarity between sensory and reticular effects in septal neurones after hippocampal disconnection. The number of units with inhibition of activity in response to sensory stimuli decreased, habituation of responses was absent. That means that hippocampal influences are necessary for the organization of inhibitory phenomena in the septum, and, above all, for processes of gradual habituation.     

Morphological evidence of the continuum between necrosis and apoptosis in model of anoxia in vitro

Growing evidence suggests that two modes of cell death, known as apoptosis and necrosis, are involved in postanoxic injury. The current opinion on these two types of cell death is that apoptosis and necrosis are not always the uniform and distinct events. The aim of this study was to determine ultrastructural criteria of postanoxic neuronal changes in model of anoxia in vitro. The organotypic cultures of rat hippocampus exposed to 10‐ and 20‐min of anoxic insult revealed the morphological features classic for both necrotic and apoptotic neuronal cell injury. Some neurones exhibited the typical necrotic lysis whereas others clearly reflected an active apoptotic form of cell death consisting of nuclear condensation with early preservation of cell membranes. However, numerous damaged cells shared both apoptotic and necrotic ultrastructural characteristics. These results evidenced the morphological continuum between apoptosis and necrosis under anoxia in vitro.     

The genetic implications of biological and cultural structuring processes during hominid evolution

Human populations are genetically structured through biological reproduction but reproduction is socially structured through culturally expressed systems of marriage, hence the need to take into account the cultural dimension of human societies when considering the genetic structure of modern human populations. The interplay between these two structuring processes is examined through the implications of a biologically based primate form of social organization versus a culturally based foraging form of social organization for an anomaly between the genetic differentiation implied by micro-evolutionary genetic models versus the species-wide pattern of morphological change implied by hominid fossil evidence. Simulation is used to derive the pattern for genetic differentiation at the level of the living group for both forms of social organization and a competition model is added to the genetic model as a way to resolve the anomaly. The importance of the competition model for the transition from a biologically based to a culturally based form of social organization is discussed.     

Topological determination of early morphogenesis in Metazoa

This paper presents a topological interpretation of some developmental events through the use of well-known concepts and theorems of combinatorial geometry. The organization of early embryo using a simulation of cleavage considering only blastomere contacts is examined. Each blastomere is modeled as a topological cell and whole embryo—as cell packing. The egg cleavage results in a pattern of cellular contacts on the surface of each blastomere and whole embryo, a discrete morphogenetic field. We find topological distinctions between different types of early egg cleavage and suggest a topological classification of cleavage. Blastulation and gastrulation may be related to an inevitable emergence of discrete curvature that directs development in three-dimensional space. The relationship between local and global orders in metazoan development, i.e., between local morphogenetic processes and integral developmental patterns, is established. Thus, this methodology reveals a topological imperative: a certain set of topological rules that constrains and directs biological morphogenesis.     

Controllability in Cancer Metabolic Networks According to Drug Targets as Driver Nodes

Networks are employed to represent many nonlinear complex systems in the real world. The topological aspects and relationships between the structure and function of biological networks have been widely studied in the past few decades. However dynamic and control features of complex networks have not been widely researched, in comparison to topological network features. In this study, we explore the relationship between network controllability, topological parameters, and network medicine (metabolic drug targets). Considering the assumption that targets of approved anticancer metabolic drugs are driver nodes (which control cancer metabolic networks), we have applied topological analysis to genome-scale metabolic models of 15 normal and corresponding cancer cell types. The results show that besides primary network parameters, more complex network metrics such as motifs and clusters may also be appropriate for controlling the systems providing the controllability relationship between topological parameters and drug targets. Consequently, this study reveals the possibilities of following a set of driver nodes in network clusters instead of considering them individually according to their centralities. This outcome suggests considering distributed control systems instead of nodal control for cancer metabolic networks, leading to a new strategy in the field of network medicine.     

The cadherin superfamily in neuronal connections and interactions

Neural development and the organization of complex neuronal circuits involve a number of processes that require cell-cell interaction. During these processes, axons choose specific partners for synapse formation and dendrites elaborate arborizations by interacting with other dendrites. The cadherin superfamily is a group of cell surface receptors that is comprised of more than 100 members. The molecular structures and diversity within this family suggest that these molecules regulate the contacts or signalling between neurons in a variety of ways. In this review I discuss the roles of three subfamilies - classic cadherins, Flamingo/CELSRs and protocadherins - in the regulation of neuronal recognition and connectivity.     

Parallel effects of joint receptors on motor neurones and intersegmental interneurones in the locust

Summary At the distal end of a mesothoracic tibia of the locust,Schistocerca gregaria, is a chordotonal organ which monitors the position and movement of the tarsus relative to the tibia. It contains approximately 35 receptors that variously encode different spatial and temporal parameters (position, velocity and direction of movement). Some excite intersegmental interneurones that respond phasically or tonically, with directional sensitivity to active or imposed movements of the tarsus. Some of these interneurones are also excited by intrinsic movements of the tarsal segments. Others, besides being excited by tarsal proprioceptive inputs, are also excited by exteroreceptors on the tarsus.When stimulated mechanically or electrically, chordotonal afferents evoke excitatory postsynaptic potentials with a central latency of between 0.9 and 1.4 ms simultaneously in the intersegmental interneurones and in tarsal motor neurones. The central arborizations of the afferents, the intersegmental interneurones and the tarsal motor neurones overlap in certain neuropilar regions of the mesothoracic ganglion. Other afferents cause an inhibition of the motor neurones, with a longer and non-consistent latency suggesting the involvement of other intercalated interneurones.These results indicate that proprioceptive inputs from the tarsal joint receptors are transmitted in parallel and monosynaptically to tarsal motor neurones and to the intersegmental interneurones.     

Populations of NGF-dependent neurones differ in their requirement for BAX to undergo apoptosis in the absence of NGF/TrkA signalling in vivo.

Reports that apoptosis within populations of neurotrophin-dependent neurones is virtually eliminated in BAX-deficient mice and that BAX-deficient neurones survive indefinitely in culture without neurotrophins have led to the view that BAX is required for the death of neurotrophin-deprived neurones. To further examine this assertion in vivo, we have studied two populations of NGF-dependent neurones during the period of naturally occurring neuronal death in mice that lack BAX, NGF or the NGF receptor TrkA, alone and in combination. In the superior cervical ganglion (SCG), naturally occurring neuronal death and the massive loss of neurones that took place in the absence of NGF or TrkA were completely prevented by elimination of BAX. However, in the trigeminal ganglion, naturally occurring neuronal death was only partly abrogated by the elimination of BAX, and although the massive neuronal death that took place in this ganglion in the absence of NGF or TrkA was initially delayed in embryos lacking BAX, this subsequently occurred unabated. Accordingly, BAX-deficient neurones survived in defined without NGF whereas BAX-deficient trigeminal neurones died in the absence of NGF. These results indicate that whereas BAX is required for the death of SCG neurones during normal development and when these neurones are deprived of NGF/TrkA signalling in vivo, the death of trigeminal ganglion neurones occurs independently of BAX when they are deprived of NGF/TrkA signalling. We conclude that BAX is not universally required for neuronal death induced by neurotrophin deprivation, but that there are major differences for the requirement for BAX among different populations of NGF-dependent neurones.     

A discrete dynamic model of a neuronal network with space-time organization]

A dynamical model of the neuronal network based on the principles of spatial-temporal organization of information processing was constructed. The additivity law for the formation of input connection factors in this model provides its versatility for a variety of logical functions. The model takes into account real properties of the systemic organization of brain neurones.