TL;DR: The results indicate that SNMP-1s andSNMP-2s are differentially expressed in cells of pheromone-sensitive sensilla and suggest distinct functions for the 2 SNMP subtypes in the olfactory system.
Abstract: In moths the detection of female-released sex pheromones involves hairlike structures on the male antenna. These long sensilla trichodea usually contain 2-3 chemosensory neurons accompanied by several supporting cells. Previous studies have shown that the pheromone-specific neurons are characterized by a "sensory neuron membrane protein" (SNMP) which is homologous to the CD36 family and localized in the dendrite membrane. By employing the SNMP-2 sequence from Manduca sexta we have isolated cDNAs that encode SNMP-2 proteins from Heliothis virescens (HvirSNMP-2) and Antheraea polyphemus (ApolSNMP-2). To elucidate the topographic and cell type-specific expression of these SNMP subtypes, 2-color in situ hybridization experiments were performed with tissue sections through the male antennae. For H. virescens, a specific probe for the pheromone receptor HR13 was used to identify pheromone-responsive neurons. It was found that HvirSNMP-1 and HR13 were coexpressed in the same cells; in contrast, HvirSNMP-2 was not expressed in HR13 cells but rather in cells that surrounded the HR13 neurons, apparently the supporting cells. A corresponding expression pattern was also found for ApolSNMP-1 and ApolSNMP-2 on the antenna of male A. polyphemus. Our results indicate that SNMP-1s and SNMP-2s are differentially expressed in cells of pheromone-sensitive sensilla and suggest distinct functions for the 2 SNMP subtypes in the olfactory system.
TL;DR: Accumulated evidence that supports the existence of dendritic spine shapes as a continuum rather than separated classes is examined, and recently developed algorithms that rely on clusterization rather than classification are compared, therefore enabling new levels of spine shape analysis.
Abstract: Dendritic spines are small protrusions from the dendrite membrane, where contact with neighboring axons is formed in order to receive synaptic input. Changes in size, shape, and density of synaptic spines are associated with learning and memory, and observed after drug abuse in a variety of neurodegenerative, neurodevelopmental, and psychiatric disorders. Due to the preeminent importance of synaptic spines, there have been major efforts into developing techniques that enable visualization and analysis of dendritic spines in cultured neurons, in fixed slices and in intact brain tissue. The classification of synaptic spines into predefined morphological groups is a standard approach in neuroscience research, where spines are divided into fixed categories such as thin, mushroom, and stubby subclasses. This study examines accumulated evidence that supports the existence of dendritic spine shapes as a continuum rather than separated classes. Using new approaches and software tools we reflect on complex dendritic spine shapes, positing that understanding of their highly dynamic nature is required to perform analysis of their morphology. The study discusses and compares recently developed algorithms that rely on clusterization rather than classification, therefore enabling new levels of spine shape analysis. We reason that improved methods of analysis may help to investigate a link between dendritic spine shape and its function, facilitating future studies of learning and memory as well as studies of brain disorders.
TL;DR: Computational analysis uses computational analysis to explore how the Purkinje cell provides sufficient PIP2 to produce large amounts of IP3, suggesting local sequestration could explain the experimentally observed finely tuned timing between parallel fiber and climbing fiber activation.
TL;DR: AipsGOBP2 may play greater roles than AipsGobP1 does in binding sex pheromones and host plant volatiles, as indicated by tissue expression profiles and in situ hybridization and immunolocalization.
TL;DR: A method to measure the distribution of ion channel membrane densities along dendritic trajectories, which can be used to quantify the localization and distribution of any immunoreactive moiety.