Neurophysiological Genetics in Drosophila melanogaster

Neurophysiological genetics is the study of the mechanisms bywhich genes control nervous function and behavior. The transductionof genetic information into neural information is studied atthe level of the neuron through genetic and physiological techniques. The neurons responsible for the leg-shaking action specificto a single-gene mutant of Drosophila melanogaster, Hk¹, havebeen located in three pairs of small regions in the thoracicganglion. The activity pattern of these neurons is coded bythe mutant Hk¹ gene. The center for the specifically patternedleg-shaking action is composed of several motor neurons whoseactivity is governed by the pacemaking activity of at leastone interneuron. As it is most likely that the mutant gene isexpressed autonomously in this interneuron, there is a possibilityof investigating ways in which genes may influence the propertiesof neurons. The activity of the mutant neuron was monitoredintracellularly, and the pattern formation mechanism was studied.The amplitude, duration, and periodicity of the pacemaker potentialand the spike initiation site determine the activity patternresulting in the specific leg-shaking action.     

Neural crest stem cells undergo cell-intrinsic developmental changes in sensitivity to instructive differentiation signals

Rat neural crest stem cells (NCSCs) prospectively isolated from uncultured E14.5 sciatic nerve and transplanted into chick embryos generate fewer neurons than do NCSCs isolated from E10.5 neural tube explants. In addition, they differentiate primarily to cholinergic parasympathetic neurons, although in culture they can also generate noradrenergic sympathetic neurons. This in vivo behavior can be explained, at least in part, by a reduced sensitivity of sciatic nerve-derived NCSCs to the neurogenic signal BMP2 and by the observation that cholinergic neurons differentiate at a lower BMP2 concentration than do noradrenergic neurons in vitro. These results demonstrate that neural stem cells can undergo cell-intrinsic changes in their sensitivity to instructive signals, while maintaining multipotency and self-renewal capacity. They also suggest that the choice between sympathetic and parasympathetic fates may be determined by the local concentration of BMP2.     

Evolution and development of neural circuits in invertebrates

Developmental mechanisms can shed light on how evolutionary diversity has arisen. Invertebrate nervous systems offer a wealth of diverse structures and functions from which to relate development to evolution. Individual homologous neurons have been shown to have distinct roles in species with different behaviors. In addition, specific neurons have been lost or gained in some phylogenetic lineages. The ability to address the neural basis of behavior at the cellular level in invertebrates has facilitated discoveries showing that species-specific behavior can arise from differences in synaptic strength, in neuronal structure and in neuromodulation. The mechanisms involved in the development of neural circuits lead to these differences across species.     

Aplysia Ganglia Preparation for Electrophysiological and Molecular Analyses of Single Neurons

A major challenge in neurobiology is to understand the molecular underpinnings of neural circuitry that govern a specific behavior. Once the specific molecular mechanisms are identified, new therapeutic strategies can be developed to treat abnormalities in specific behaviors caused by degenerative diseases or aging of the nervous system. The marine snail Aplysia californica is well suited for the investigations of cellular and molecular basis of behavior because neural circuitry underlying a specific behavior could be easily determined and the individual components of the circuitry could be easily manipulated. These advantages of Aplysia have led to several fundamental discoveries of neurobiology of learning and memory. Here we describe a preparation of the Aplysia nervous system for the electrophysiological and molecular analyses of individual neurons. Briefly, ganglion dissected from the nervous system is exposed to protease to remove the ganglion sheath such that neurons are exposed but retain neuronal activity as in the intact animal. This preparation is used to carry out electrophysiological measurements of single or multiple neurons. Importantly, following the recording using a simple methodology, the neurons could be isolated directly from the ganglia for gene expression analysis. These protocols were used to carry out simultaneous electrophysiological recordings from L7 and R15 neurons, study their response to acetylcholine and quantitating expression of CREB1 gene in isolated single L7, L11, R15, and R2 neurons of Aplysia.     

Optimizing interneuron circuits for compartment-specific feedback inhibition

Cortical circuits process information by rich recurrent interactions between excitatory neurons and inhibitory interneurons. One of the prime functions of interneurons is to stabilize the circuit by feedback inhibition, but the level of specificity on which inhibitory feedback operates is not fully resolved. We hypothesized that inhibitory circuits could enable separate feedback control loops for different synaptic input streams, by means of specific feedback inhibition to different neuronal compartments. To investigate this hypothesis, we adopted an optimization approach. Leveraging recent advances in training spiking network models, we optimized the connectivity and short-term plasticity of interneuron circuits for compartment-specific feedback inhibition onto pyramidal neurons. Over the course of the optimization, the interneurons diversified into two classes that resembled parvalbumin (PV) and somatostatin (SST) expressing interneurons. Using simulations and mathematical analyses, we show that the resulting circuit can be understood as a neural decoder that inverts the nonlinear biophysical computations performed within the pyramidal cells. Our model provides a proof of concept for studying structure-function relations in cortical circuits by a combination of gradient-based optimization and biologically plausible phenomenological models.     

Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior

New technologies make it possible to measure activity from many neurons simultaneously. One approach is to analyze simultaneously recorded neurons individually, then group together neurons which increase their activity during similar behaviors into an “ensemble.” However, this notion of an ensemble ignores the ability of neurons to act collectively and encode and transmit information in ways that are not reflected by their individual activity levels. We used microendoscopic GCaMP imaging to measure prefrontal activity while mice were either alone or engaged in social interaction. We developed an approach that combines a neural network classifier and surrogate (shuffled) datasets to characterize how neurons synergistically transmit information about social behavior. Notably, unlike optimal linear classifiers, a neural network classifier with a single linear hidden layer can discriminate network states which differ solely in patterns of coactivity, and not in the activity levels of individual neurons. Using this approach, we found that surrogate datasets which preserve behaviorally specific patterns of coactivity (correlations) outperform those which preserve behaviorally driven changes in activity levels but not correlated activity. Thus, social behavior elicits increases in correlated activity that are not explained simply by the activity levels of the underlying neurons, and prefrontal neurons act collectively to transmit information about socialization via these correlations. Notably, this ability of correlated activity to enhance the information transmitted by neuronal ensembles is diminished in mice lacking the autism-associated gene Shank3. These results show that synergy is an important concept for the coding of social behavior which can be disrupted in disease states, reveal a specific mechanism underlying this synergy (social behavior increases correlated activity within specific ensembles), and outline methods for studying how neurons within an ensemble can work together to encode information.

Behaviorally-specific patterns of correlated activity between prefrontal neurons normally enhance the information that neuronal ensembles transmit about social behavior. This study shows that in a mouse model of autism, individual neurons continue to encode social information, but this additional information carried by patterns of correlated activity is lost.     

Maintenance of motor neuron progenitors in Xenopus requires a novel localized cyclin

The ventral spinal cord contains a pool of motor neuron progenitors (pMNs), which sequentially generate motor neurons and oligodendrocytes in the embryo. The mechanisms responsible for the maintenance of pMNs are not clearly understood. We have identified a novel cyclin, cyclin Dx (ccndx), which is specifically expressed in pMNs in Xenopus. Here, we show that inhibition of ccndx causes paralysis in embryos. Furthermore, we show that maintenance of pMNs requires ccndx function. In addition, inhibition of ccndx results in the specific loss of differentiated motor neurons. However, the expression of interneuron or sensory neuron markers is unaffected in these embryos, suggesting that the role of ccndx is specifically to maintain pMNs. Thus, we have identified, for the first time, a tissue-specific cell-cycle regulator that is essential for the maintenance of a pool of neural progenitors in the vertebrate spinal cord.     

Marrow stromal cells: implications in health and disease in the nervous system

Chronic degenerative diseases and traumatic injuries are responsible for a decline in neuronal function, which often limit life span. While solid organ transplantation such as liver and kidney has been already applied for thousands of patients, great limitation exists in case of nervous system. Cell transplantation is one of the strategies with potential for treatment of such neural disorders, and many kinds of cells including embryonic stem cells and neural stem cells have been considered as candidates for transplantation therapy. Bone marrow stromal cells (MSCs) have great potential as therapeutic agents, since they are easy to isolate and can be expanded from patients without serious ethical and technical problems. We found a method for the highly efficient and specific induction of functional neurons and Schwann cells from both rat and human MSCs. Induced neurons and Schwann cells were transplanted in animal models of Parkinson's disease, stroke, peripheral nerve injury, and spinal cord injury resulting in the successful integration of transplanted cells and improvement in behavior of transplanted animals. Here we focus on the respective potentials of MSC-derived cells and discuss the possibility of clinical application in neurodegenerative and neurotraumatic diseases.     

Genetic identification of spinal interneurons that coordinate left-right locomotor activity necessary for walking movements

The sequential stepping of left and right limbs is a fundamental motor behavior that underlies walking movements. This relatively simple locomotor behavior is generated by the rhythmic activity of motor neurons under the control of spinal neural networks known as central pattern generators (CPGs) that comprise multiple interneuron cell types. Little, however, is known about the identity and contribution of defined interneuronal populations to mammalian locomotor behaviors. We show a discrete subset of commissural spinal interneurons, whose fate is controlled by the activity of the homeobox gene Dbx1, has a critical role in controlling the left-right alternation of motor neurons innervating hindlimb muscles. Dbx1 mutant mice lacking these ventral interneurons exhibit an increased incidence of cobursting between left and right flexor/extensor motor neurons during drug-induced locomotion. Together, these findings identify Dbx1-dependent interneurons as key components of the spinal locomotor circuits that control stepping movements in mammals.     

Embryonic stem cells and cell replacement therapies in the nervous system

Embryonic stem (ES) cells are pluripotential cells derived from the pre-implantation embryo. They can proliferate indefinitely in vitro while retaining pluripotency. ES cells can also be made to differentiate into a large variety of cell types in vitro. This has paved the way to research aimed at using ES-derived cells for cell replacement therapies. Hence, mouse ES cells can efficiently differentiate into neural precursors which can further generate functional neurons, astrocytes, and oligodendrocytes. Methods have also been developed to coax mouse ES-derived neural stem cells to differentiate into either dopaminergic neurons or motoneurons. Mouse ES-derived neural stem cells, or their fully differentiated progeny, have been shown to survive, integrate, and to some extent, function following transplantation within appropriate rodent host tissue. Research on human ES cells is still in its infancy. Considerable work has to be done: (1) to master growth and genetic manipulation of human ES cells; (2) to master their differentiation into specific cell types; and (3) to demonstrate that they can provide long term therapeutical benefits upon grafting into damaged tissues in humans. From the ethical point of view, the establishment of appropriate primate model will be an obligatory prerequisite to clinical trials based on ES cells derivatives grafting.     

Respiratory behavior in the pond snail Lynmaea stagnalis

Summary Previously (Syed et al. 1991) we described the ventilatory behavior of the pond snail Lymnaea stagnalis and identified motor neurons that innervate various muscles involved in this behavior. In the present study we describe an interneuronal network that controls ventilatory behavior in Lymnaea. An identified interneuron, termed the input 3 interneuron (Ip.3.I), was found to be involved in the opening movement of the pneumostome (expiration), whereas another identified interneuron known as visceral dorsal 4 (V.D.4) caused its closure (inspiration). These cells have reciprocal inhibitory connections with each other, which accounts for their opposing effects on common follower motor neurons. In isolated brain preparations a third identified interneuron, right pedal dorsal 1 (R.Pe.D.1) initiated the respiratory cycle by the excitation of Ip.3.I. Whereas Ip.3.I in turn excited R.Pe.D.1, the connections between R.Pe.D.1 and V.D.4 were mutually inhibitory. Both Ip.3.I and V.D.4 were active during spontaneously occurring respiratory behavior as recorded from semi-intact preparations, and selective hyperpolarization of V.D.4 during such spontaneous activity disrupted the respiratory behavior. Regarding peripheral feedback, the mechanical stimulation of the pneumostome during its opening movements not only caused closure but also inhibited Ip.3.I in the middle of its discharge. Ip.3.I and V.D.4 were also found to be multifunctional, inhibiting both locomotor and whole body withdrawal neural networks. We conclude from these results that the rhythmic patterned activity underlying respiratory behavior in Lymnaea is generated centrally, and that the network described here therefore comprises a central pattern generator.     

Escape behaviors in insects

Escape behaviors are, by necessity, fast and robust, making them excellent systems with which to study the neural basis of behavior. This is especially true in insects, which have comparatively tractable nervous systems and members who are amenable to manipulation with genetic tools. Recent technical developments in high-speed video reveal that, despite their short duration, insect escape behaviors are more complex than previously appreciated. For example, before initiating an escape jump, a fly performs sophisticated posture and stimulus-dependent preparatory leg movements that enable it to jump away from a looming threat. This newfound flexibility raises the question of how the nervous system generates a behavior that is both rapid and flexible. Recordings from the cricket nervous system suggest that synchrony between the activity of specific interneuron pairs may provide a rapid cue for the cricket to detect the direction of an approaching predator and thus which direction it should run. Technical advances make possible wireless recording from neurons while locusts escape from a looming threat, enabling, for the first time, a direct correlation between the activity of multiple neurons and the time-course of an insect escape behavior.     

The activin signaling pathway promotes differentiation of dI3 interneurons in the spinal neural tube

The generation of the appropriate types and numbers of mature neurons during the development of the spinal cord requires the careful coordination of patterning, proliferation, and differentiation. In the dorsal neural tube, this coordination is achieved by the combined action of multiple ligands of both the Wnt and TGF-beta families, and their effectors, such as the bHLH proteins. TGF-beta signaling acting through the BMP receptors is necessary for the generation of several dorsal interneuron types. Other TGF-beta ligands expressed in the dorsal neural tube interact with the Activin receptors, which signal via a different set of SMAD proteins than BMPs. The effects of Activin signaling on the developing neural tube have not been described. Here we have activated the Activin signal transduction pathway in a cell-autonomous manner in the developing chick neural tube. We find that a constitutively active Activin receptor promotes differentiation throughout the neural tube. Although most differentiated cell populations are unaffected by Activin signaling, the number of dorsal interneuron 3 (dI3) cells is specifically increased. Our data suggest that Activin signaling may promote the formation of the dI3 precursor cells within a region circumscribed by BMP signaling and that this function is not dependent upon BMP signaling.     

Mechanisms Explaining Transitions between Tonic and Phasic Firing in Neuronal Populations as Predicted by a Low Dimensional Firing Rate Model

Several firing patterns experimentally observed in neural populations have been successfully correlated to animal behavior. Population bursting, hereby regarded as a period of high firing rate followed by a period of quiescence, is typically observed in groups of neurons during behavior. Biophysical membrane-potential models of single cell bursting involve at least three equations. Extending such models to study the collective behavior of neural populations involves thousands of equations and can be very expensive computationally. For this reason, low dimensional population models that capture biophysical aspects of networks are needed. The present paper uses a firing-rate model to study mechanisms that trigger and stop transitions between tonic and phasic population firing. These mechanisms are captured through a two-dimensional system, which can potentially be extended to include interactions between different areas of the nervous system with a small number of equations. The typical behavior of midbrain dopaminergic neurons in the rodent is used as an example to illustrate and interpret our results. The model presented here can be used as a building block to study interactions between networks of neurons. This theoretical approach may help contextualize and understand the factors involved in regulating burst firing in populations and how it may modulate distinct aspects of behavior.     

Ionic and neuromodulatory regulation of burst discharge controls frequency tuning

Sensory neurons encode natural stimuli by changes in firing rate or by generating specific firing patterns, such as bursts. Many neural computations rely on the fact that neurons can be tuned to specific stimulus frequencies. It is thus important to understand the mechanisms underlying frequency tuning. In the electrosensory system of the weakly electric fish, Apteronotus leptorhynchus, the primary processing of behaviourally relevant sensory signals occurs in pyramidal neurons of the electrosensory lateral line lobe (ELL). These cells encode low frequency prey stimuli with bursts of spikes and high frequency communication signals with single spikes. We describe here how bursting in pyramidal neurons can be regulated by intrinsic conductances in a cell subtype specific fashion across the sensory maps found within the ELL, thereby regulating their frequency tuning. Further, the neuromodulatory regulation of such conductances within individual cells and the consequences to frequency tuning are highlighted. Such alterations in the tuning of the pyramidal neurons may allow weakly electric fish to preferentially select for certain stimuli under various behaviourally relevant circumstances.     

Neurite outgrowth from progeny of epidermal growth factor-responsive hippocampal stem cells is significantly less robust than from fetal hippocampal cells following grafting onto organotypic hippocampal slice cultures: effect of brain-derived neurotrophic factor

Epidermal growth factor (EGF)-responsive stem cells from both developing and adult central nervous system (CNS) can be expanded and induced to differentiate into neurons and glia in vitro. Because of their self-renewal and multipotent properties, these cells can potentially provide an unlimited tissue source for neural grafting in neurodegenerative disorders. However, the capability of neurons derived from these stem cells to project axons to distant targets following grafting, thereby enabling the restoration of damaged CNS circuitry, remains unknown. We hypothesize that grafted EGF-responsive stem cells and their progeny are not competent to project axons into distant target sites unless exposed to specific neurotrophic factors. We compared neurite outgrowth between gestation day 14 primary mouse hippocampal cells and EGF-generated secondary neurospheres of postnatal mouse hippocampal stem cells, following grafting onto the CA3 region of organotypic hippocampal slice cultures prepared from postnatal rats. Neurite outgrowth from grafted cells was visualized using immunohistochemical staining for the mouse specific antigen M6. Fetal hippocampal cells showed extensive and specific neurite outgrowth into many regions of the slice, including the CA1 region and distant subiculum, by 7 days after grafting. In contrast, neurite outgrowth from neurosphere cells was nonspecific and restricted to the immediate surrounding region after either 7 or even 15 days following grafting. Application of brain-derived neurotrophic factor (BDNF) (5 ng in 0.5 microL) to slices on day 1 after grafting significantly enhanced neurite outgrowth from neurosphere cells, but overall neurite outgrowth from neurosphere cells remained decreased compared to that from fetal hippocampal cells. These results underscore that EGF-responsive stem cell-derived neurons possess limited intrinsic capability for long-distance neurite outgrowth compared to fetal neurons. However, neurite outgrowth from EGF-responsive stem cell-derived neurons can be enhanced by treating with specific neurotrophic factors such as BDNF.