Patterning the vertebrate head: murine Hox 2 genes mark distinct subpopulations of premigratory and migrating cranial neural crest.

The structures of the face in vertebrates are largely derived from neural crest. There is some evidence to suggest that the form of the facial pattern is determined by the crest, and that it is specified before migration as to the structures that is is able to form. The neural crest is able to control the form of surrounding, non-neural crest tissues by an instructive interaction. Some of this cranial crest is derived from a region of the hindbrain that expresses Hox 2 homeobox genes in an overlapping and segment-restricted pattern. We have found that neurogenic and mesenchymal neural crest expresses Hox 2 genes from its point of origin beside the neural plate, during migration and after migration has ceased and that rhombomeres 3 and 5 do not have any expressing neural crest beside them. Each branchial arch expresses a different combination or code of Hox genes in a segment-restricted way. The surface ectoderm over the arches initially does not express Hox genes, and later adopts an expression pattern that reflects that of neural crest that has come to underlie it. We suggest that initially the neural plate and neural crest are spatially specified, while the surface ectoderm is unpatterned. Subsequently some positional information could be transferred to the surface ectoderm as a result of an interaction with the neural crest. Given that the role of the homologous genes in insects is position specification, and that neural crest is imprinted before migration, we suggest that Hox 2 genes are providing part of this positional information to the neural crest and hence are involved in patterning the structures of the branchial arches.     

Learning shapes spontaneous activity itinerating over memorized states

Learning is a process that helps create neural dynamical systems so that an appropriate output pattern is generated for a given input. Often, such a memory is considered to be included in one of the attractors in neural dynamical systems, depending on the initial neural state specified by an input. Neither neural activities observed in the absence of inputs nor changes caused in the neural activity when an input is provided were studied extensively in the past. However, recent experimental studies have reported existence of structured spontaneous neural activity and its changes when an input is provided. With this background, we propose that memory recall occurs when the spontaneous neural activity changes to an appropriate output activity upon the application of an input, and this phenomenon is known as bifurcation in the dynamical systems theory. We introduce a reinforcement-learning-based layered neural network model with two synaptic time scales; in this network, I/O relations are successively memorized when the difference between the time scales is appropriate. After the learning process is complete, the neural dynamics are shaped so that it changes appropriately with each input. As the number of memorized patterns is increased, the generated spontaneous neural activity after learning shows itineration over the previously learned output patterns. This theoretical finding also shows remarkable agreement with recent experimental reports, where spontaneous neural activity in the visual cortex without stimuli itinerate over evoked patterns by previously applied signals. Our results suggest that itinerant spontaneous activity can be a natural outcome of successive learning of several patterns, and it facilitates bifurcation of the network when an input is provided.     

Antisense knockdown of the beta1 integrin subunit in the chicken embryo results in abnormal neural crest cell development

Neural crest cells escape the neural tube by undergoing an epithelial to mesenchymal transition (EMT). This is followed by extensive migration along specific pathways that are lined with extracellular matrix (ECM). In this study, we have examined the roles of matrix receptors containing beta1 integrin subunits in neural crest cell morphogenesis using antisense morpholino oligos electroporated in ovo into avian neural crest cell precursors. Our results show that reduced levels of expression of beta1 integrin subunits in the dorsal neural tube results in an abnormal epithelial to mesenchymal transition. In approximately half of the experimental embryos, however, some neural crest cells filled with beta1 antisense are able to escape the neural tube and migrate ventrally, indicating that grossly normal migration of trunk neural crest cells can take place after beta1 integrin expression is reduced. This study shows the potential of this novel method for investigating the roles of genes that are required for the survival of early mouse embryos in later development events.     

Essential role of non-canonical Wnt signalling in neural crest migration

Migration of neural crest cells is an elaborate process that requires the delamination of cells from an epithelium and cell movement into an extracellular matrix. In this work, it is shown for the first time that the non-canonical Wnt signalling [planar cell polarity (PCP) or Wnt-Ca2+] pathway controls migration of neural crest cells. By using specific Dsh mutants, we show that the canonical Wnt signalling pathway is needed for neural crest induction, while the non-canonical Wnt pathway is required for neural crest migration. Grafts of neural crest tissue expressing non-canonical Dsh mutants, as well as neural crest cultured in vitro, indicate that the PCP pathway works in a cell-autonomous manner to control neural crest migration. Expression analysis of non-canonical Wnt ligands and their putative receptors show that Wnt11 is expressed in tissue adjacent to neural crest cells expressing the Wnt receptor Frizzled7 (Fz7). Furthermore, loss- and gain-of-function experiments reveal that Wnt11 plays an essential role in neural crest migration. Inhibition of neural crest migration by blocking Wnt11 activity can be rescued by intracellular activation of the non-canonical Wnt pathway. When Wnt11 is expressed opposite its normal site of expression, neural crest migration is blocked. Finally, time-lapse analysis of cell movement and cell protrusion in neural crest cultured in vitro shows that the PCP or Wnt-Ca2+ pathway directs the formation of lamellipodia and filopodia in the neural crest cells that are required for their delamination and/or migration.     

Requirement of mouse BCCIP for neural development and progenitor proliferation

Multiple DNA repair pathways are involved in the orderly development of neural systems at distinct stages. The homologous recombination (HR) pathway is required to resolve stalled replication forks and critical for the proliferation of progenitor cells during neural development. BCCIP is a BRCA2 and CDKN1A interacting protein implicated in HR and inhibition of DNA replication stress. In this study, we determined the role of BCCIP in neural development using a conditional BCCIP knock-down mouse model. BCCIP deficiency impaired embryonic and postnatal neural development, causing severe ataxia, cerebral and cerebellar defects, and microcephaly. These development defects are associated with spontaneous DNA damage and subsequent cell death in the proliferative cell populations of the neural system during embryogenesis. With in vitro neural spheroid cultures, BCCIP deficiency impaired neural progenitor's self-renewal capability, and spontaneously activated p53. These data suggest that BCCIP and its anti-replication stress functions are essential for normal neural development by maintaining an orderly proliferation of neural progenitors.     

The evolutionary origin of the vertebrate neural crest and its developmental gene regulatory network – insights from amphioxus

The neural crest is an embryonic cell population unique to vertebrates. During vertebrate embryogenesis, neural crest cells are first induced from the neural plate border; subsequently, they delaminate from the dorsal neural tube and migrate to their destination, where they differentiate into a wide variety of derivatives. The emergence of the neural crest is thought to be responsible for the evolution of many complex novel structures of vertebrates that are lacking in invertebrate chordates. Despite its central importance in understanding the origin of vertebrates, the evolutionary origin of the neural crest remains elusive. The basal chordate amphioxus (Branchiostoma floridae) occupies an outgroup position that is useful for investigating this question. In this review, I summarize recent genomic and comparative developmental studies between amphioxus and vertebrates and discuss their implications for the evolutionary origin of neural crest cells. I focus mainly on the origin of the gene regulatory network underlying neural crest development, and suggest several hypotheses regarding how this network could have been assembled during early vertebrate evolution.     

Motion processing streams in Drosophila are behaviorally specialized

Motion vision is an ancient faculty, critical to many animals in a range of ethological contexts, the underlying algorithms of which provide central insights into neural computation. However, how motion cues guide behavior is poorly understood, as the neural circuits that implement these computations are largely unknown in any organism. We develop a systematic, forward genetic approach using high-throughput, quantitative behavioral analyses to identify the neural substrates of motion vision in Drosophila in an unbiased fashion. We then delimit the behavioral contributions of both known and novel circuit elements. Contrary to expectation from previous studies, we find that orienting responses to motion are shaped by at least two neural pathways. These pathways are sensitive to different visual features, diverge immediately postsynaptic to photoreceptors, and are coupled to distinct behavioral outputs. Thus, behavioral responses to complex stimuli can rely on surprising neural specialization from even the earliest sensory processing stages.     

Origins and Developmental Potential of the Neural Crest

Neural crest cells are a migratory population that forms most of the peripheral nervous system, facial skeleton, and numerous other derivatives. These cells arise from the neural ectoderm and are first recognizable as discrete cells after neural tube closure. In this review, I summarize the results of studies from our laboratory on neural crest cell lineage and origin. Our recent experiments demonstrate that interactions between the presumptive neural plate and the nonneural ectoderm are likely to be instrumental in the induction of the avian neural crest. Juxtaposition of these tissues at early stages results in the formation of neural crest cells at the interface. However, neural crest cells do not appear to be segregated from other neuroepithelial cells; cell lineage studies have demonstrated that individual precursor cells within the neural tube can give rise to both neural crest and neural tube derivatives as diverse as sensory, commissural, and motor neurons. This suggests that individual neuroectodermal cells are multipotent, such that a precursor within the neural tube has the ability to form both neural tube (central nervous system) and neural crest (peripheral nervous system and other) derivatives. Further support for flexibility in the developmental program of neuroepithelial cells comes from experiments in which the cranial neural folds are ablated; this results in regulation by the remaining ventral neural tube cells to form neural crest cells after the endogenous neural crest is removed. At later stage of development, this regulative capacity is lost. Following their emigration from the neural tube, neural crest cells become progressively restricted to defined embryonic states. Taken together, these experiments demonstrate that: (1) the neural crest is an induced population that arises by interactions within the ectoderm; (2) initially, progenitor cells are multipotent, having the potential to form multiple neural crest and neural tube derivatives; and (3) with time, the precursors become progressively restricted to form neural crest derivatives and eventually to individual phenotypes.     

Stability and synchronization analysis of inertial memristive neural networks with time delays

This paper is concerned with the problem of stability and pinning synchronization of a class of inertial memristive neural networks with time delay. In contrast to general inertial neural networks, inertial memristive neural networks is applied to exhibit the synchronization and stability behaviors due to the physical properties of memristors and the differential inclusion theory. By choosing an appropriate variable transmission, the original system can be transformed into first order differential equations. Then, several sufficient conditions for the stability of inertial memristive neural networks by using matrix measure and Halanay inequality are derived. These obtained criteria are capable of reducing computational burden in the theoretical part. In addition, the evaluation is done on pinning synchronization for an array of linearly coupled inertial memristive neural networks, to derive the condition using matrix measure strategy. Finally, the two numerical simulations are presented to show the effectiveness of acquired theoretical results.     

The protooncogene c-myc is an essential regulator of neural crest formation in xenopus

The neural crest, a population of multipotent progenitor cells, is a defining feature of vertebrate embryos. Neural crest precursor cells arise at the neural plate border in response to inductive signals, but much remains to be learned about the molecular mechanisms underlying their induction. Here we show that the protooncogene c-Myc is an essential early regulator of neural crest cell formation in Xenopus. c-myc is localized at the neural plate border prior to the expression of early neural crest markers, such as slug. A morpholino-mediated "knockdown" of c-Myc protein results in the absence of neural crest precursor cells and a resultant loss of neural crest derivatives. These effects are not dependent upon changes in cell proliferation or cell death. Instead, our findings reveal an important and unexpected role for c-Myc in the specification of cell fates in the early ectoderm.     

Multi/infinite dimensional neural networks, multi/infinite dimensional logic theory

A mathematical model of an arbitrary multi-dimensional neural network is developed and a convergence theorem for an arbitrary multi-dimensional neural network represented by a fully symmetric tensor is stated and proved. The input and output signal states of a multi-dimensional neural network/logic gate are related through an energy function, defined over the fully symmetric tensor (representing the connection structure of a multi-dimensional neural network). The inputs and outputs are related such that the minimum/maximum energy states correspond to the output states of the logic gate/neural network realizing a logic function. Similarly, a logic circuit consisting of the interconnection of logic gates, represented by a block symmetric tensor, is associated with a quadratic/higher degree energy function. Infinite dimensional logic theory is discussed through the utilization of infinite dimension/order tensors.     

Induction of the neural crest: a multigene process

In the embryo, the neural crest is an important population of cells that gives rise to diverse derivatives, including the peripheral nervous system and the craniofacial skeleton. Evolutionarily, the neural crest is of interest as an important innovation in vertebrates. Experimentally, it represents an excellent system for studying fundamental developmental processes, such as tissue induction. Classical embryologists have identified interactions between tissues that lead to neural crest formation. More recently, geneticists and molecular biologists have identified the genes that are involved in these interactions; this recent work has revealed that induction of the neural crest is a complex multistep process that involves many genes.