@article {2452,
	title = {Neural network partitioning by NO and cGMP.},
	journal = {The Journal of Neuroscience: The Official Journal of the Society for Neuroscience},
	volume = {21},
	year = {2001},
	month = {2001 Mar 1},
	pages = {1610-8},
	abstract = {<p>The stomatogastric ganglion (STG) of the crab Cancer productus contains approximately 30 neurons arrayed into two different networks (gastric mill and pyloric), each of which produces a distinct motor pattern in vitro. Here we show that the functional division of the STG into these two networks requires intact NO-cGMP signaling. Multiple nitric oxide synthase (NOS)-like proteins are expressed in the stomatogastric nervous system, and NO appears to be released as an orthograde transmitter from descending inputs to the STG. The receptor of NO, a soluble guanylate cyclase (sGC), is expressed in a subset of neurons in both motor networks. When NO diffusion or sGC activation are blocked within the ganglion, the two networks combine into a single conjoint circuit. The gastric mill motor rhythm breaks down, and several gastric neurons pattern switch and begin firing in pyloric time. The functional reorganization of the STG is both rapid and reversible, and the gastric mill motor rhythm is restored when the ganglion is returned to normal saline. Finally, pharmacological manipulations of the NO-cGMP pathway are ineffective when descending modulatory inputs to the STG are blocked. This suggests that the NO-cGMP pathway may interact with other biochemical cascades to partition rhythmic motor output from the ganglion.</p>
},
	keywords = {Animals, Arginine, Brachyura, Citrulline, Cyclic GMP, Digestive System, Enzyme Inhibitors, Fluorescent Dyes, Ganglia, Guanylate Cyclase, Immunohistochemistry, Invertebrate, Isoquinolines, Male, Nerve Net, Neurons, Neurotransmitter Agents, Nitric Oxide, Nitric Oxide Donors, Periodicity, Signal Transduction},
	issn = {1529-2401},
	author = {Scholz, N L and de Vente, J and Truman, J W and Graubard, K}
}
@article {2451,
	title = {Tiling of the body wall by multidendritic sensory neurons in Manduca sexta.},
	journal = {The Journal of Comparative Neurology},
	volume = {440},
	year = {2001},
	month = {2001 Nov 19},
	pages = {271-83},
	abstract = {<p>A plexus of multidendritic sensory neurons, the dendritic arborization (da) neurons, innervates the epidermis of soft-bodied insects. Previous studies have indicated that the plexus may comprise distinct subtypes of da neurons, which utilize diverse cyclic 3{\textquoteright},5{\textquoteright}-guanosine monophosphate signaling pathways and could serve several functions. Here, we identify three distinct classes of da neurons in Manduca, which we term the alpha, beta, and gamma classes. These three classes differ in their sensory responses, branch complexity, peripheral dendritic fields, and axonal projections. The two identified alpha neurons branch over defined regions of the body wall, which in some cases correspond to specific natural folds of the cuticle. These cells project to an intermediate region of the neuropil and appear to function as proprioceptors. Three beta neurons are characterized by long, sinuous dendritic branches and axons that terminate in the ventral neuropil. The function of this group of neurons is unknown. Four neurons belonging to the gamma class have the most complex peripheral dendrites. A representative gamma neuron responds to forceful touch of the cuticle. Although the dendrites of da neurons of different classes may overlap extensively, cells belonging to the same class show minimal dendritic overlap. As a result, the body wall is independently tiled by the beta and gamma da neurons and partially innervated by the alpha neurons. These properties of the da system likely allow insects to discriminate the quality and location of several types of stimuli acting on the cuticle.</p>
},
	keywords = {Afferent, Animals, Central Nervous System, Dendrites, Electrophysiology, Epidermis, Manduca, Neurons, Synaptic Transmission},
	issn = {0021-9967},
	doi = {10.1002/cne.1385},
	author = {Grueber, W B and Graubard, K and Truman, J W}
}
