Expression and function of cell adhesion molecules during neural crest migration

Neural crest cells are highly migratory cells that give rise to many derivatives including peripheral ganglia, craniofacial structures and melanocytes. Neural crest cells migrate along defined pathways to their target sites, interacting with each other and their environment as they migrate. Cell adhesion molecules are critical during this process. In this review we discuss the expression and function of cell adhesion molecules during the process of neural crest migration, in particular cadherins, integrins, members of the immunoglobulin superfamily of cell adhesion molecules, and the proteolytic enzymes that cleave these cell adhesion molecules. The expression and function of these cell adhesion molecules and proteases are compared across neural crest emigrating from different axial levels, and across different species of vertebrates.     

A temporospatial map of adhesive molecules in the organ of corti of the mouse cochlea

In the nervous system, several classes of cell-surface and extracellular matrix molecules have been implicated in processes such as neural growth, fasciculation, pathfinding, target recognition and synaptogenesis, which require cell-to-cell or cell-to-substrate binding. In the developing mouse cochlea, little is known about the types of cell-surface and extracellular matrix molecules existing along the neural growth paths or their possible roles in development. Whole mount and sectioned cochlear tissue were immunolabeled for six different adhesive molecules - neural cell adhesion molecule (NCAM), polysialic acid (PSA), neural cell adhesion molecule L1, E-cadherin, syndecan-1 and tenascin-C. A temporospatial map of adhesive molecule distribution in the basal turns of the mouse cochlea was generated. Distributions of adhesive molecules were compared to each other and to the known progress of neural development in the region. This comparison demonstrated differences in the complements of adhesive molecules between the inner and outer hair cell regions, and variations in the expressions of adhesion molecules among different types of nerve fibers. In addition, developmental changes in the adhesive environment around and beneath the outer hair cells coincided with the known timing of the appearance of morphologically defined efferent synapses. These observations raise the possibility that molecular differences at the cell surface of inner and outer hair cells are one way that ingrowing neurites distinguish different environments to determine their growth routes and synaptic partners in the cochlea. In addition these observations demonstrate the potential for differential signaling of afferent and efferent innervation by altering the microenvironments in which synapses are formed.     

Topography of cell ahesion molecules CD9, CD24, L1 and N-CAM on the surface of neuroblastoma cells studied using chemical cross linking

Cell-adhesion molecules are thought to play crucial roles in development and plasticity in the nervous system. Four neural cell adhesion molecules CD9, CD24, L1 and N-CAM are associated in the surface membrane of cultured neuroblastoma cells as studied by chemical cross-linking with bifunctional reagent 3,3'-dithiobis (sulphosuccinimidyl-propionate) followed by a subsequent immunodetection using antibodies directed against the above molecules. We obtained direct evidence of CD9 and L1, but not CD9 and N-CAM clasterisation, also interactions of CD24 with L1, CD24 with N-CAM and some others. These observations illustrate topography of neural cell adhesion molecules located in the vicinity to each other and imply the basis for their functional cooperativity.     

Cranial and trunk neural crest cells use different mechanisms for attachment to extracellular matrices.

We have used a quantitative cell attachment assay to compare the interactions of cranial and trunk neural crest cells with the extracellular matrix (ECM) molecules fibronectin, laminin and collagen types I and IV. Antibodies to the beta 1 subunit of integrin inhibited attachment under all conditions tested, suggesting that integrins mediate neural crest cell interactions with these ECM molecules. The HNK-1 antibody against a surface carbohydrate epitope under certain conditions inhibited both cranial and trunk neural crest cell attachment to laminin, but not to fibronectin. An antiserum to alpha 1 intergrin inhibited attachment of trunk, but not cranial, neural crest cells to laminin and collagen type I, though interactions with fibronectin or collagen type IV were unaffected. The surface properties of trunk and cranial neural crest cells differed in several ways. First, trunk neural crest cells attached to collagen types I and IV, but cranial neural crest cells did not. Second, their divalent cation requirements for attachment to ECM molecules differed. For fibronectin substrata, trunk neural crest cells required divalent cations for attachment, whereas cranial neural crest cells bound in the absence of divalent cations. However, cranial neural crest cells lost this cation-independent attachment after a few days of culture. For laminin substrata, trunk cells used two integrins, one divalent cation-dependent and the other divalent cation-independent (Lallier, T. E. and Bronner-Fraser, M. (1991) Development 113, 1069-1081). In contrast, cranial neural crest cells attached to laminin using a single, divalent cation-dependent receptor system. Immunoprecipitations and immunoblots of surface labelled neural crest cells with HNK-1, alpha 1 integrin and beta 1 integrin antibodies suggest that cranial and trunk neural crest cells possess biochemically distinct integrins. Our results demonstrate that cranial and trunk cells differ in their mechanisms of adhesion to selected ECM components, suggesting that they are non-overlapping populations of cells with regard to their adhesive properties.     

Prediction of inhibitor binding free energies by quantum neural networks. Nucleoside analogues binding to trypanosomal nucleoside hydrolase

A computational method has been developed to predict inhibitor binding energy for untested inhibitor molecules. A neural network is trained from the electrostatic potential surfaces of known inhibitors and their binding energies. The algorithm is then able to predict, with high accuracy, the binding energy of unknown inhibitors. IU-nucleoside hydrolase from Crithidia fasciculata and the inhibitor molecules described previously [Miles, R. W. Tyler, P. C. Evans, G. Furneaux R. H., Parkin, D. W., and Schramm, V. L. (1999) Biochemistry 38, xxxx-xxxx] are used as the test system. Discrete points on the molecular electrostatic potential surface of inhibitor molecules are input to neural networks to identify the quantum mechanical features that contribute to binding. Feed-forward neural networks with back-propagation of error are trained to recognize the quantum mechanical electrostatic potential and geometry at the entire van der Waals surface of a group of training molecules and to predict the strength of interactions between the enzyme and novel inhibitors. The binding energies of unknown inhibitors were predicted, followed by experimental determination of K(i)() values. Predictions of K(i)() values using this theory are compared to other methods and are more robust in estimating inhibitory strength. The average deviation in estimating K(i)() values for 18 unknown inhibitor molecules, with 21 training molecules, is a factor of 5 x K(i)() over a range of 660 000 in K(i)() values for all molecules. The a posteriori accuracy of the predictions suggests the method will be effective as a guide for experimental inhibitor design.     

Cloning and expression of cDNA encoding a neural calcium-dependent cell adhesion molecule: its identity in the cadherin gene family

The neural cadherin (N-cadherin) is a Ca2+-dependent cell-cell adhesion molecule detected in neural tissues as well as in non-neural tissues. We report here the nucleotide sequence of the chicken N-cadherin cDNA and the deduced amino acid sequence. The sequence data suggest that N-cadherin has one transmembrane domain which divides the molecule into an extracellular and a cytoplasmic domain; the extracellular domain contains internal repeats of characteristic sequences. When the N-cadherin cDNA connected with virus promoters was transfected into L cells which have no endogenous N-cadherin, the transformants acquired the N-cadherin-mediated aggregating property, indicating that the cloned cDNA contained all information necessary for the cell-cell binding action of this molecule. We then compared the primary structure of N-cadherin with that of other molecules defined as cadherin subclasses. The results showed that these molecules contain common amino acid sequences throughout their entire length, which confirms our hypothesis that cadherins make a gene family.     

Extracellular matrix molecules, their receptors, and secreted proteases in synaptic plasticity

Neural cells secrete diverse molecules, which accumulate in the extracellular space and form the extracellular matrix (ECM). Interactions between cells and the ECM are well recognized to play the crucial role in cell migration and guidance of growing axons, whereas formation of mature neural ECM in the form of perineuronal nets is believed to restrict certain forms of developmental plasticity. On the other hand, major components of perineuronal nets and other ECM molecules support induction of functional plasticity, the most studied form of which is long-term potentiation. Here, we review the underlying mechanisms by which ECM molecules, their receptors and remodeling proteases regulate the induction and maintenance of synaptic modifications. In particular, we highlight that activity-dependent secretion and activation of proteases leads to a local cleavage of the ECM and release of signaling proteolytic fragments. These molecules regulate transmitter receptor trafficking, actin cytoskeleton, growth of dendritic spines, and formation of dendritic filopodia.     

From barriers to bridges: chondroitin sulfate proteoglycans in neuropathology

Emerging studies have revealed new roles for the neural extracellular matrix in neuropathologies. The structure of this matrix is unusual and uniquely enriched in chondroitin sulfate proteoglycans, particularly those of the lectican family. Historically, lecticans have attracted considerable interest in the normal and injured brain for their prominent roles as inhibitors of cellular motility, neurite extension and synaptic plasticity. However, these molecules are structurally heterogeneous, have distinct expression patterns and mediate unique interactions, suggesting that they might have other functions in addition to their traditional role as chemorepulsants. Here, we review recent work demonstrating unique modifications and structural microheterogeneity of the lecticans in the diseased CNS, which might relate to novel roles of these molecules in neuropathologies.     

Cell adhesion mechanisms in gangliogenesis studied in avian embryo and in a model system

Neural crest cells undergo rapid changes in their cell-to-cell and cell-to-extracellular matrix adhesion during the ontogeny of the peripheral nervous system. The mechanisms of adhesion have been analyzed to assess the respective roles played by the cell adhesion molecules (CAMs) and the differentiated junctions. Crest cells which lose their terminal bar junctions after emigration from the neural tube contain only very few gap junctions during gangliogenesis. The calcium-dependent cell adhesion molecules, L-CAM, disappear from the neural crest and never reappear in crest cell derivatives. In contrast, the number of calcium-independent cell adhesion molecules, N-CAM, diminishes transiently during the migratory phase. In vitro, N-CAM is expressed de novo either just before or at the onset of aggregation into autonomic ganglion rudiments, whereas it is delayed in the dorsal root ganglion cells. In vitro, N-CAM mediates the calcium-independent aggregation mechanism; the rate of aggregation is, however, similar whether crest cells are derived from well-spread cultures or from two- and three-dimensional clusters. Crest cells also exhibit a calcium-dependent mechanism of adhesion controlled by molecules differing from N-CAM but which may codistribute on many different cell types during embryogenesis. These two classes of cell adhesion molecules are present on the surface of neural precursors prior to their differentiation into neurons and glial cells.     

Phosphorylation of L1-type cell-adhesion molecules--ankyrins away!

Neural cell-adhesion molecules (CAMs) are powerful initiators of neurite outgrowth during neural differentiation. In addition, their interactions with cytoskeletal components are often conserved and highly regulated. How these two aspects of neural CAM function relate to each other is not well understood. However, a recent publication from the Felsenfeld laboratory ( http://www.mssm.edu/labs/felsenfeld) fills a gap in our knowledge of how the interaction of L1-type CAMs with the membrane skeleton adaptor protein ankyrin is severed by phosphorylation and suggests a feedback mechanism whereby the neurite-stimulating activity of L1-CAM is inversely connected to its cytoskeleton binding.     

Role of adhesion molecules in the genesis of the peripheral nervous system in avians

In vertebrates, the peripheral nervous system arises from the neural crest by a multistep process involving epithelium-mesenchyme interconversions and cell migrations. These successive events are associated with profound and controlled reorganization of the expression of both cell-cell and cell-substratum adhesion molecules responsible for the direct interaction of neural crest cells with their neighbours or the extracellular matrix. Thus, at the onset of emigration of neural crest cells from the neural tube, the cell-cell adhesion systems mediated by N-cadherin and N-CAM are lost by cells. This is accompanied by the complete reorganization of the extracellular matrix in the immediate environment of neural crest cells and by changes in cell shape. Later, as crest cells undergo migration towards their differentiation sites, they are found associated with fibronectin. Cell adhesion molecules are reaquired by neural crest cells following specific sequences as they coalesce into primordia of the various ganglia. In vitro, fibronectin constitutes the most appropriate substrate for migration of neural crest cells. The migration-promoting effect of fibronectin can be specifically inhibited both in vivo and in vitro by antibodies to fibronectin, integrin receptors, or by peptides containing the Arg-Gly-Asp-Ser sequence. Neural crest cells recognize two major adhesion sites along fibronectin molecules; these are the Arg-Gly-Asp-Ser sequence located in the medial part of the molecule and the CS1 site situated in the alternatively spliced IIICS region. These two sequences are required to permit full motile behavior of cells.(ABSTRACT TRUNCATED AT 250 WORDS)     

Application of neural networks using the volume learning algorithm for the study of structure-activity relationship in chemical compounds

A volume learning algorithm for artificial neural networks was developed to quantitatively describe the three-dimensional structure-activity relationships using as an example N-benzylpiperidine derivatives. The new algorithm combines two types of neural networks, the Kohonen and the feed-forward artificial neural networks, which are used to analyze the input grid data generated by the comparative molecular field approach. Selection of the most informative parameters using the algorithm helped to reveal the most important spatial properties of the molecules, which affect their biological activities. Cluster regions determined using the new algorithm adequately predicted the activity of molecules from a control data set.     

Neural crest cells and motor axons in avians: Common and distinct migratory molecules

It has long been thought that the same molecules guide both trunk neural crest cells and motor axons as these cell types grow and extend to their target regions in developing embryos. There are common territories that are navigated by these cell types: both cells grow through the rostral portion of the somitic sclerotomes and avoid the caudal half of the sclerotomes. However, these cell types seem to use different molecules to guide them to their target regions. In this Review, I will discuss the common and distinct methods of migration taken by trunk neural crest cells and motor axons as they grow and populate their target regions through chick embryos at the level of the trunk.Key words: migration, axon, motor neuron, trunk neural crest cells, chick     

Neural crest cells and motor axons in avians

It has long been thought that the same molecules guide both trunk neural crest cells and motor axons as these cell types grow and extend to their target regions in developing embryos. There are common territories that are navigated by these cell types: both cells grow through the rostral portion of the somitic sclerotomes and avoid the caudal half of the sclerotomes. However, these cell types seem to use different molecules to guide them to their target regions. In this review, I will talk about the common and distinct methods of migration taken by trunk neural crest cells and motor axons as they grow and populate their target regions through chick embryos at the level of the trunk.     

Molecular Mechanisms Underlying Motor Axon Guidance in Drosophila

Decoding the molecular mechanisms underlying axon guidance is key to precise understanding of how complex neural circuits form during neural development. Although substantial progress has been made over the last three decades in identifying numerous axon guidance molecules and their functional roles, little is known about how these guidance molecules collaborate to steer growth cones to their correct targets. Recent studies in Drosophila point to the importance of the combinatorial action of guidance molecules, and further show that selective fasciculation and defasciculation at specific choice points serve as a fundamental strategy for motor axon guidance. Here, I discuss how attractive and repulsive guidance cues cooperate to ensure the recognition of specific choice points that are inextricably linked to selective fasciculation and defasciculation, and correct pathfinding decision-making.     

Application of Neural Networks Using the Volume Learning Algorithm for Quantitative Study of the Three-Dimensional Structure–Activity Relationships of Chemical Compounds

A volume learning algorithm for artificial neural networks was developed to quantitatively describe three-dimensional structure–activity relationships using as an example N-benzylpiperidine derivatives. The new algorithm combines two types of neural networks, the Kohonen and the feed-forward artificial neural networks, which are used to analyze the input grid data generated by the comparative molecular field approach. Selection of the most informative parameters using the algorithm helped reveal the most important spatial properties of the molecules, which affect their biological activities. Cluster regions determined using the new algorithm adequately predicted the activity of molecules from a control data set.     

Predicting CNS permeability of drug molecules: comparison of neural network and support vector machine algorithms.

Two different machine-learning algorithms have been used to predict the blood-brain barrier permeability of different classes of molecules, to develop a method to predict the ability of drug compounds to penetrate the CNS. The first algorithm is based on a multilayer perceptron neural network and the second algorithm uses a support vector machine. Both algorithms are trained on an identical data set consisting of 179 CNS active molecules and 145 CNS inactive molecules. The training parameters include molecular weight, lipophilicity, hydrogen bonding, and other variables that govern the ability of a molecule to diffuse through a membrane. The results show that the support vector machine outperforms the neural network. Based on over 30 different validation sets, the SVM can predict up to 96% of the molecules correctly, averaging 81.5% over 30 test sets, which comprised of equal numbers of CNS positive and negative molecules. This is quite favorable when compared with the neural network's average performance of 75.7% with the same 30 test sets. The results of the SVM algorithm are very encouraging and suggest that a classification tool like this one will prove to be a valuable prediction approach.     

A mammalian in vitro model to study gangliogenesis from neural crest cells

In spite of considerable advances towards understanding lineages derived from neural crest cells using amphibian and avian embryos, the molecular mechanisms involved in the formation of mammalian peripheral ganglia remain largely unknown, mainly because of the lack of experimental systems that will allow their in vitro manipulation. Here, we present a novel mammalian in vitro model permitting to study gangliogenesis from neural crest cells. This model allowed us to manipulate molecules involved in cell-cell interactions. Our data are in favour of the existence of a hierarchy among adhesion molecules.