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The Down syndrome cell adhesion molecule (DSCAM), an immunoglobulin (Ig) superfamily member, was first identified from human and subsequently isolated from both vertebrates and invertebrates. Recent studies have shown that the DSCAM molecule serves diverse functions in neurodevelopment, such as axon guidance and neuronal migration. Most studies on DSCAM, however, have focused on mammals and arthropods, and our present knowledge of bony fish DSCAM is still limited. In this study, orange-spotted grouper Epinephelus coioides was used as an animal model to explore the possible functions of DSCAM. Two DSCAM isoforms were isolated, namely EcDSCAM A and EcDSCAM B, with lengths of 1648 and 2025 amino acids, respectively. The classical domain structure (i.e. 9Ig-4FNIII-1Ig-2FNIII-Transmembrane domain-Cytoplasmic tail) was also found in the coding regions of these two EcDSCAMs. Phylogenetic analysis showed that in the vertebrate DSCAM clade, the EcDSCAMs and various teleost DSCAMs were clustered into a subclade. Real-time PCR revealed that EcDSCAM B is the major EcDSCAM isoform, with the expression of EcDSCAM B being significantly higher than that of EcDSCAM A. During the first 14days after hatching (dph), increases in the expression of the two EcDSCAMs were observed at 2-4 and 8-11dph. EcDSCAM is expressed mainly in the intestine, nerve-related tissues, and stomach. Optic nerve transection analysis showed that EcDSCAM was up-regulated during optic nerve regeneration after optic nerve injury. We also investigated whether DSCAM expression was affected by viral nervous necrosis (VNN) disease or vibriosis. We found that when grouper were challenged with nervous necrosis virus (NNV), there were no meaningful changes in DSCAM expression, but challenge with Vibrio anguillarum led to a decrease in EcDSCAM levels in the brain. This decrease may be related to the pathogenesis of V. anguillarum.
Pubmed ID: 22627126
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Software for the automated evaluation of behavior in a range of pre-clinical and neuroscience applications in basic and clinical psychopharmacology. Applications include phenotype characterization and studying the behavioral effects of pharmacologic substances.
View all literature mentionsComputational biology resource for investigating candidate functional sites in eukarytic proteins. Functional sites which fit to the description linear motif are currently specified as patterns using Regular Expression rules. To improve the predictive power, context-based rules and logical filters are being developed and applied to reduce the amount of false positives. The current version of the ELM server provides core functionality including filtering by cell compartment, phylogeny, globular domain clash (using the SMART/Pfam databases) and structure. In addition, both the known ELM instances and any positionally conserved matches in sequences similar to ELM instance sequences are identified and displayed (see ELM instance mapper). Although the ELM resource contains a large collection of functional site motifs, the current set of motifs is not exhaustive.
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