Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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The SLC36 Transporter Pathetic Supports Extreme Growth in Drosophila Sensory Neurons

ABSTRACT: Microarray profiling of amplified total RNA isolated from FACS-sorted class IV da neurons or body wall filets. 3 to 5 independent replicates collected from each sample group, RNA isolated and amplified. Hybridized as a one color experiment.

ORGANISM(S): Drosophila melanogaster

SUBMITTER: Charlie Kim

PROVIDER: E-GEOD-64477 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:While microRNAs (miRNAs) have recently emerged as critical post-transcriptional modulators of gene expression in neuronal development, very little is known regarding the roles of miRNA-mediated regulation in the specification of cell-type specific dendritic complexity. The dendritic arborization (da) sensory neurons of the Drosophila PNS offer an excellent model system for elucidating the molecular mechanisms governing class specific dendrite morphogenesis and for exploring miRNA-mediated control of this process. To facilitate functional analyses of miRNA regulation in da neurons, we have conducted whole-genome miRNA expression profiling as well as mRNA expression profiling of three distinct classes of da neurons, thereby generating a comprehensive molecular gene expression signature within these individual subclasses of da neurons. To further validate the role of these expressed miRNAs in directing dendritic architecture, we conducted a genome-wide UAS-miRNA phenotypic screen using live-image confocal microscopy followed by semi-automated neurometric quantification, to directly assess the effect of over/mis-expression of individual and clustered miRNAs on neurons of varying dendritic complexity. Through this approach, we have identified numerous miRNAs with previously unknown functions in dendritic development. Gain-of-function and loss-of-function analyses revealed an endogenous role miR-2b and miR-13b (members of the K-box family) and miR-12/283/304 in dendritic patterning in da neuron subclasses. Moreover, using an integrative bioinformatic analysis approach involving inverse correlation between miRNA and mRNA expression profiling data in combination with existing target prediction algorithms, we have identified putative target of these miRNAs in regulating da neuron dendritic development. Validation of these predicted miRNA-target relationships via phenotypic analyses as well as QPCR, revealed the regulatory effect of these molecules in restricting dendritic branching in da neurons.

Dataset Information

The SLC36 Transporter Pathetic Supports Extreme Growth in Drosophila Sensory Neurons

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