A Second-Generation Device for Automated Training and Quantitative Behavior Analyses of Molecularly-Tractable Model Organisms

A deep understanding of cognitive processes requires functional, quantitative analyses of the steps leading from genetics and the development of nervous system structure to behavior. Molecularly-tractable model systems such as Xenopus laevis and planaria offer an unprecedented opportunity to dissect the mechanisms determining the complex structure of the brain and CNS. A standardized platform that facilitated quantitative analysis of behavior would make a significant impact on evolutionary ethology, neuropharmacology, and cognitive science. While some animal tracking systems exist, the available systems do not allow automated training (feedback to individual subjects in real time, which is necessary for operant conditioning assays). The lack of standardization in the field, and the numerous technical challenges that face the development of a versatile system with the necessary capabilities, comprise a significant barrier keeping molecular developmental biology labs from integrating behavior analysis endpoints into their pharmacological and genetic perturbations. Here we report the development of a second-generation system that is a highly flexible, powerful machine vision and environmental control platform. In order to enable multidisciplinary studies aimed at understanding the roles of genes in brain function and behavior, and aid other laboratories that do not have the facilities to undergo complex engineering development, we describe the device and the problems that it overcomes. We also present sample data using frog tadpoles and flatworms to illustrate its use. Having solved significant engineering challenges in its construction, the resulting design is a relatively inexpensive instrument of wide relevance for several fields, and will accelerate interdisciplinary discovery in pharmacology, neurobiology, regenerative medicine, and cognitive science

Biomedical Impact of Splicing Mutations Revealed through Exome Sequencing

Splicing is a cellular mechanism, which dictates eukaryotic gene expression by removing the noncoding introns and ligating the coding exons in the form of a messenger RNA molecule. Alternative splicing (AS) adds a major level of complexity to this mechanism and thus to the regulation of gene expression. This widespread cellular phenomenon generates multiple messenger RNA isoforms from a single gene, by utilizing alternative splice sites and promoting different exon–intron inclusions and exclusions. AS greatly increases the coding potential of eukaryotic genomes and hence contributes to the diversity of eukaryotic proteomes. Mutations that lead to disruptions of either constitutive splicing or AS cause several diseases, among which are myotonic dystrophy and cystic fibrosis. Aberrant splicing is also well established in cancer states. Identification of rare novel mutations associated with splice-site recognition, and splicing regulation in general, could provide further insight into genetic mechanisms of rare diseases. Here, disease relevance of aberrant splicing is reviewed, and the new methodological approach of starting from disease phenotype, employing exome sequencing and identifying rare mutations affecting splicing regulation is described. Exome sequencing has emerged as a reliable method for finding sequence variations associated with various disease states. To date, genetic studies using exome sequencing to find disease-causing mutations have focused on the discovery of nonsynonymous single nucleotide polymorphisms that alter amino acids or introduce early stop codons, or on the use of exome sequencing as a means to genotype known single nucleotide polymorphisms. The involvement of splicing mutations in inherited diseases has received little attention and thus likely occurs more frequently than currently estimated. Studies of exome sequencing followed by molecular and bioinformatic analyses have great potential to reveal the high impact of splicing mutations underlying human disease