Self-recognition at the atomic level: understanding the astonishing molecular diversity of homophilic Dscams

The Drosophila Dscams are immunoglobulin superfamily members produced from a single gene that is diversified by alternative splicing to produce a family of cell-surface proteins with over 19,000 different ectodomain isoforms. Dscams are critical for neuronal wiring, and mounting evidence suggests that they play a key role in self-avoidance between sister branches from neurons, which depends on homophilic self-recognition by Dscams. Two recent papers shed new light on Dscam recognition: first by showing that the vast majority of Dscam isoforms mediate specific homophilic binding and second by revealing the essence of the molecular basis of homophilic recognition by Dscams through high-resolution structural studies.     

Fibroblast cell shape and adhesion in vitro is altered by overexpression of the 7a and 7b isoforms of protocadherin 7, but not the 7c isoform

Protocadherins (Pcdhs) are a family of cadherins considered to play an important role in the cell-cell adhesion of specific neurons in the central nervous system. Of the reported Pcdhs, relatively little is known about the functional role of protocadherin 7 (Pcdh7), and there is no evidence of Pcdh7 mediated cell-cell adhesion. To date, three splicing variants are known; they may have different effects on cell phenotype. We report here that mouse fibroblast L cells stably overexpressing the Pcdh7 isoforms 7a and 7b, but not 7c, showed a morphological change and Ca(2+)dependent cell adhesion.     

Protocadherins branch out: Multiple roles in dendrite development

The proper formation of dendritic arbors is a critical step in neural circuit formation, and as such defects in arborization are associated with a variety of neurodevelopmental disorders. Among the best gene candidates are those encoding cell adhesion molecules, including members of the diverse cadherin superfamily characterized by distinctive, repeated adhesive domains in their extracellular regions. Protocadherins (Pcdhs) make up the largest group within this superfamily, encompassing over 80 genes, including the ～60 genes of the α-, β-, and γ-Pcdh gene clusters and the non-clustered δ-Pcdh genes. An additional group includes the atypical cadherin genes encoding the giant Fat and Dachsous proteins and the 7-transmembrane cadherins. In this review we highlight the many roles that Pcdhs and atypical cadherins have been demonstrated to play in dendritogenesis, dendrite arborization, and dendritic spine regulation. Together, the published studies we discuss implicate these members of the cadherin superfamily as key regulators of dendrite development and function, and as potential therapeutic targets for future interventions in neurodevelopmental disorders.     

Protocadherins branch out: Multiple roles in dendrite development

The proper formation of dendritic arbors is a critical step in neural circuit formation, and as such defects in arborization are associated with a variety of neurodevelopmental disorders. Among the best gene candidates are those encoding cell adhesion molecules, including members of the diverse cadherin superfamily characterized by distinctive, repeated adhesive domains in their extracellular regions. Protocadherins (Pcdhs) make up the largest group within this superfamily, encompassing over 80 genes, including the ∼60 genes of the α-, β-, and γ-Pcdh gene clusters and the non-clustered δ-Pcdh genes. An additional group includes the atypical cadherin genes encoding the giant Fat and Dachsous proteins and the 7-transmembrane cadherins. In this review we highlight the many roles that Pcdhs and atypical cadherins have been demonstrated to play in dendritogenesis, dendrite arborization, and dendritic spine regulation. Together, the published studies we discuss implicate these members of the cadherin superfamily as key regulators of dendrite development and function, and as potential therapeutic targets for future interventions in neurodevelopmental disorders.     

Identification of the cluster control region for the protocadherin-beta genes located beyond the protocadherin-gamma cluster

The clustered protocadherins (Pcdhs), Pcdh-α, -β, and -γ, are transmembrane proteins constituting a subgroup of the cadherin superfamily. Each Pcdh cluster is arranged in tandem on the same chromosome. Each of the three Pcdh clusters shows stochastic and combinatorial expression in individual neurons, thus generating a hugely diverse set of possible cell surface molecules. Therefore, the clustered Pcdhs are candidates for determining neuronal molecular diversity. Here, we showed that the targeted deletion of DNase I hypersensitive (HS) site HS5-1, previously identified as a Pcdh-α regulatory element in vitro, affects especially the expression of specific Pcdh-α isoforms in vivo. We also identified a Pcdh-β cluster control region (CCR) containing six HS sites (HS16, 17, 17', 18, 19, and 20) downstream of the Pcdh-γ cluster. This CCR comprehensively activates the expression of the Pcdh-β gene cluster in cis, and its deletion dramatically decreases their expression levels. Deleting the CCR nonuniformly down-regulates some Pcdh-γ isoforms and does not affect Pcdh-α expression. Thus, the CCR effect extends beyond the 320-kb region containing the Pcdh-γ cluster to activate the upstream Pcdh-β genes. Thus, we concluded that the CCR is a highly specific regulatory unit for Pcdh-β expression on the clustered Pcdh genomic locus. These findings suggest that each Pcdh cluster is controlled by distinct regulatory elements that activate their expression and that the stochastic gene regulation of the clustered Pcdhs is controlled by the complex chromatin architecture of the clustered Pcdh locus.     

Penaeus monodon Dscam (PmDscam) has a highly diverse cytoplasmic tail and is the first membrane-bound shrimp Dscam to be reported

Down syndrome cell adhesion molecule (Dscam) seems likely to play a key role in the "alternative adaptive immunity" that has been reported in invertebrates. Dscam consists of a cytoplasmic tail that is involved in signal transduction and a hypervariable extracellular region that might use a pathogen recognition mechanism similar to that used by the vertebrate antibodies. In our previous paper, we isolated a unique tail-less form of Dscam from Litopenaeus vannamei. In this study, we report the first membrane-bound form of shrimp Dscam: PmDscam was isolated from Penaeus monodon, and it occurred in both membrane-bound and tail-less forms. Phylogenetic analysis showed that while the crustacean Dscams from shrimp and water flea did not share a single subclade, they were distinct from the invertebrate Dscam-like molecules and from the insecta Dscams. In the extracellular region, the variable regions of PmDscam were located in N-terminal Ig2, N-terminal Ig3 and the entire Ig7 domain. The PmDscam extracellular variants and transmembrane domain variants were produced by mutually exclusive alternative splicing events. The cytoplasmic tail variants were produced by exon inclusion/exclusion. Based on the genomic organization of Daphnia Dscam's cytoplasmic tail, we propose a model of how the shrimp Dscam genomic locus might use Type III polyadenylation to generate both the tail-less and membrane-bound forms.     

Prediction of ubiquitin proteins using artificial neural networks, hidden markov model and support vector machines

Ubiquitin functions to regulate protein turnover in a cell by closely regulating the degradation of specific proteins. Such a regulatory role is very important, and thus I have analyzed the proteins that are ubiquitin-like, using an artificial neural network, support vector machines and a hidden Markov model (HMM). The methods were trained and tested on a set of 373 ubiquitin proteins and 373 non-ubiquitin proteins, obtained from Entrez protein database. The artificial neural network and support vector machine are trained and tested using both the physicochemical properties and PSSM matrices generated from PSI-BLAST, while in the HMM based method direct sequences are used for training-testing procedures. Further, the performance measures of the methods are calculated for test sequences, i.e. accuracy, specificity, sensitivity and Matthew's correlation coefficients of the methods are calculated. The highest accuracy of 90.2%, specificity of 87.04% and sensitivity of 94.08% was achieved using the support vector machine model with PSSM matrices. While accuracies of 86.82%, 83.37%, 80.18% and 72.11% were obtained for the support vector machine with physicochemical properties, neural network with PSSM matrices, neural networks with physicochemical properties, and hidden Markov model, respectively. As the accuracy for SVM model is better both using physicochemical properties and the PSSM matrices, it is concluded that kernel methods such as SVM outperforms neural networks and hidden Markov models.     

PCNS: a novel protocadherin required for cranial neural crest migration and somite morphogenesis in Xenopus

Protocadherins (Pcdhs), a major subfamily of cadherins, play an important role in specific intercellular interactions in development. These molecules are characterized by their unique extracellular domain (EC) with more than 5 cadherin-like repeats, a transmembrane domain (TM) and a variable cytoplasmic domain. PCNS (Protocadherin in Neural crest and Somites), a novel Pcdh in Xenopus, is initially expressed in the mesoderm during gastrulation, followed by expression in the cranial neural crest (CNC) and somites. PCNS has 65% amino acid identity to Xenopus paraxial protocadherin (PAPC) and 42-49% amino acid identity to Pcdh 8 in human, mouse, and zebrafish genomes. Overexpression of PCNS resulted in gastrulation failure but conferred little if any specific adhesion on ectodermal cells. Loss of function accomplished independently with two non-overlapping antisense morpholino oligonucleotides resulted in failure of CNC migration, leading to severe defects in the craniofacial skeleton. Somites and axial muscles also failed to undergo normal morphogenesis in these embryos. Thus, PCNS has essential functions in these two important developmental processes in Xenopus.     

Human down syndrome cell adhesion molecules (DSCAMs) are functionally conserved with Drosophila Dscam[TM1] isoforms in controlling neurodevelopment

Drosophila Down syndrome cell adhesion molecule (Dscam) potentially produces more than 150,000 cell adhesion molecules that share two alternative transmembrane/juxtamembrane (TM) domains, which dictate the dendrite versus axon subcellular distribution and function of different Dscam isoforms. Vertebrate genomes contain two closely related genes, DSCAM and DSCAM-Like1 (DSCAML1), which do not have extensive alternative splicing. We investigated the functional conservation between invertebrate Dscams and vertebrate DSCAMs by cross-species rescue assays and found that human DSCAM and DSCAML1 partially, but substantially, rescued the larval lethality of Drosophila Dscam mutants. Interestingly, both human DSCAM and DSCAML1 were targeted to the dendrites in Drosophila neurons, had synergistic rescue effects with Drosophila Dscam[TM2], and preferentially rescued the dendrite defects of Drosophila Dscam mutant neurons. Therefore, human DSCAM and DSCAML1 are functionally conserved with Drosophila Dscam[TM1] isoforms.     

Ideas about pain, a historical view

The expression 'painful' can be used to describe both an embarrassing moment and a cut on the finger. An explanation for this dichotomy can be found in the convoluted history of ideas about pain. Whether pain is an independent sensation and the product of dedicated neural mechanisms continues to be a topic of debate. This overview concentrates on the issue of specificity together with other notable information regarding pain that has emerged since 1800.     

Differential Glycosylation of Tractin and LeechCAM, Two Novel Ig Superfamily Members, Regulates Neurite Extension and Fascicle Formation

By immunoaffinity purification with the mAb Lan3-2, we have identified two novel Ig superfamily members, Tractin and LeechCAM. LeechCAM is an NCAM/FasII/ApCAM homologue, whereas Tractin is a cleaved protein with several unique features that include a PG/YG repeat domain that may be part of or interact with the extracellular matrix. Tractin and LeechCAM are widely expressed neural proteins that are differentially glycosylated in sets and subsets of peripheral sensory neurons that form specific fascicles in the central nervous system. In vivo antibody perturbation of the Lan3-2 glycoepitope demonstrates that it can selectively regulate extension of neurites and filopodia. Thus, these experiments provide evidence that differential glycosylation can confer functional diversity and specificity to widely expressed neural proteins.     

Ocular dominance development revisited

New approaches to the study of ocular dominance development, a model system for the development of neural architecture, indicate that eye-specific columns in primary visual cortex emerge substantially before the onset of the critical period, during which neural connections can be altered by visual experience. The timing, speed and specificity of column emergence implicate molecular patterning mechanisms, along with patterns of neural activity, in the generation of this columnar architecture.     

Regulation of classical cadherin membrane expression and F-actin assembly by alpha-catenins, during Xenopus embryogenesis

Alpha (α)-E-catenin is a component of the cadherin complex, and has long been thought to provide a link between cell surface cadherins and the actin skeleton. More recently, it has also been implicated in mechano-sensing, and in the control of tissue size. Here we use the early Xenopus embryos to explore functional differences between two α-catenin family members, α-E- and α-N-catenin, and their interactions with the different classical cadherins that appear as tissues of the embryo become segregated from each other. We show that they play both cadherin-specific and context-specific roles in the emerging tissues of the embryo. α-E-catenin interacts with both C- and E-cadherin. It is specifically required for junctional localization of C-cadherin, but not of E-cadherin or N-cadherin at the neurula stage. α-N-cadherin interacts only with, and is specifically required for junctional localization of, N-cadherin. In addition, α -E-catenin is essential for normal tissue size control in the non-neural ectoderm, but not in the neural ectoderm or the blastula. We also show context specificity in cadherin/ α-catenin interactions. E-cadherin requires α-E-catenin for junctional localization in some tissues, but not in others, during early development. These specific functional cadherin/alpha-catenin interactions may explain the basis of cadherin specificity of actin assembly and morphogenetic movements seen previously in the neural and non-neural ectoderm.     

Attachment, spreading and locomotion of avian neural crest cells are mediated by multiple adhesion sites on fibronectin molecules.

Cellular adhesion to fibronectin (FN) can be mediated by several sequences located in different portions of the molecule. In human FN, these are: (i) the bipartite RGDS domain containing the RGDS cell-binding sequence functioning in synergy for full cellular adhesion with a second site (termed here the synergistic adhesion site) and (ii) the recently characterized CS1 and REDV adhesion sites within the alternatively-spliced type III homology-connecting segment. Using specific adhesive ligands and inhibitory probes, we have examined the role of each of these domains in the adhesion, spreading, and motility of avian neural crest cells in vitro. Both the RGDS domain and the CS1 adhesion site were found to promote attachment of neural crest cells, but only the RGDS domain supported their spreading. However, the RGDS sequence could mediate both attachment and spreading efficiently only when it was associated with the synergistic adhesion site. In migratory assays, it was found that both the RGDS domain and the CS1 site are required in association, each with functional specificity, to permit effective locomotion of neural crest cells. The REDV adhesion site was apparently not recognized by avian neural crest cells, presumably because this sequence is absent from chicken FN. Finally, it was found that recognition of both the RGDS domain and CS1 binding site by neural crest cells involved receptors belonging to the integrin family. From these results, we conclude that neural crest cells can interact with several binding sites of FN molecules, and use them for distinct functions. Our results also suggest the possibility of an instructive role for FN in the control of adhesive and migratory events during embryonic development.     

Functional significance of isoform diversification in the protocadherin gamma gene cluster

The mammalian Protocadherin (Pcdh) alpha, beta, and gamma gene clusters encode a large family of cadherin-like transmembrane proteins that are differentially expressed in individual neurons. The 22 isoforms of the Pcdhg gene cluster are diversified into A-, B-, and C-types, and the C-type isoforms differ from all other clustered Pcdhs in sequence and expression. Here, we show that mice lacking the three C-type isoforms are phenotypically indistinguishable from the Pcdhg null mutants, displaying virtually identical cellular and synaptic alterations resulting from neuronal apoptosis. By contrast, mice lacking three A-type isoforms exhibit no detectable phenotypes. Remarkably, however, genetically blocking apoptosis rescues the neonatal lethality of the C-type isoform knockouts, but not that of the Pcdhg null mutants. We conclude that the role of the Pcdhg gene cluster in neuronal survival is primarily, if not specifically, mediated by its C-type isoforms, whereas a separate role essential for postnatal development, likely in neuronal wiring, requires isoform diversity.     

对比度检测学习提高猫的视觉对比敏感度

对人的心理学研究结果显示,对比度检测学习可提高学习者对视觉刺激的对比敏感度,但其潜在的神经机制尚不清楚。该研究用二选一（two-alternative forced choice）方法训练3只猫（Felis catus）通过单眼进行对比度检测学习,发现每只猫对视觉刺激的对比敏感度随着训练而显著提高。该学习效果虽然对训练眼有明显的特异性,但部分学习效果可以传递给非训练眼,提示对比度检测学习可能会引起双眼信息汇聚前后的视觉中枢的神经可塑性。另外,猫视觉对比敏感度的提高主要发生在训练刺激的空间频率附近,表明对比度检测学习具有一定的空间频率选择性。该研究结果显示,猫对视觉刺激的对比度检测学习表现出与人类相似的特性,因此可以作为模式动物来研究人类学习诱导的视觉对比敏感度升高的神经机制。     

M-cells: A logic circuit model to account for some features of CNS inhibition

A truth table definition for neural inhibition is used to develop a model for stimulus specificity in a sensory system. An example from the mammalian visual system, that of orientation selectivity in visual cortex, is worked out in detail. Using the assumption that logical processing of signals may take place in a nerve cell's dendritic tree, a digital circuit is transformed into a neural model. An important feature of the model is an inhibitory neuron, termed an M-cell, which by its actions confers response specificity on neighboring principal cells. The M-cell is shown to have several properties in common with basket cells seen in cerebellar, hippocampal and cerebral cortex.     

A Procedure for Implanting Organized Arrays of Microwires for Single-unit Recordings in Awake,Behaving Animals

In vivo electrophysiological recordings in the awake, behaving animal provide a powerful method for understanding neural signaling at the single-cell level. The technique allows experimenters to examine temporally and regionally specific firing patterns in order to correlate recorded action potentials with ongoing behavior. Moreover, single-unit recordings can be combined with a plethora of other techniques in order to produce comprehensive explanations of neural function. In this article, we describe the anesthesia and preparation for microwire implantation. Subsequently, we enumerate the necessary equipment and surgical steps to accurately insert a microwire array into a target structure. Lastly, we briefly describe the equipment used to record from each individual electrode in the array. The fixed microwire arrays described are well-suited for chronic implantation and allow for longitudinal recordings of neural data in almost any behavioral preparation. We discuss tracing electrode tracks to triangulate microwire positions as well as ways to combine microwire implantation with immunohistochemical techniques in order to increase the anatomical specificity of recorded results.     

Artificial neural network method for predicting HIV protease cleavage sites in protein

Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity, and the information thus acquired will be useful for designing specific and efficient HIV protease inhibitors. The search for inhibitors of HIV protease will be greatly expedited if one can find and accurate, robust, and rapid method for predicting the cleavage sites in proteins by HIV protease. In this paper, Kohonen’s self-organization model, which uses typical artificial neural networks, is applied to predict the cleavability of oligopeptides by proteases with multiple and extended specificity subsites. We selected HIV-1 protease as the subject of study. We chose 299 oligopeptides for the training set, and another 63 oligopeptides for the test set. Because of its high rate of correct prediction (58/63=92.06%) and stronger fault-tolerant ability, the neural network method should be a useful technique for finding effective inhibitors of HIV protease, which is one of the targets in designing potential drugs against AIDS. The principle of the artificial neural network method can also be applied to analyzing the specificity of any multisubsite enzyme.     

Artificial neural network method for predicting HIV protease cleavage sites in protein

Knowledge of the polyprotein cleavage sites by HIV protease will refine our understanding of its specificity, and the information thus acquired will be useful for designing specific and efficient HIV protease inhibitors. The search for inhibitors of HIV protease will be greatly expedited if one can find and accurate, robust, and rapid method for predicting the cleavage sites in proteins by HIV protease. In this paper, Kohonen’s self-organization model, which uses typical artificial neural networks, is applied to predict the cleavability of oligopeptides by proteases with multiple and extended specificity subsites. We selected HIV-1 protease as the subject of study. We chose 299 oligopeptides for the training set, and another 63 oligopeptides for the test set. Because of its high rate of correct prediction (58/63=92.06%) and stronger fault-tolerant ability, the neural network method should be a useful technique for finding effective inhibitors of HIV protease, which is one of the targets in designing potential drugs against AIDS. The principle of the artificial neural network method can also be applied to analyzing the specificity of any multisubsite enzyme.