Biomedical subjects

Rainer Maier

Publications and source records attributed to Rainer Maier.

3 recordsLinked to original sources

PubMed2006

Global down-regulation of gene expression in the brain using RNA interference, with emphasis on monoamine transporters and GPCRs: implications for target characterization in psychiatric and neurological disorders.

RNA interference (RNAi) is a natural mechanism for regulating gene expression, which exists in plants, invertebrates, and mammals. We investigated whether non-viral infusion of short interfering RNA (siRNA) by the intracerebroventricular route would enable a sequence-specific gene knockdown in the mouse brain and whether the knockdown translates into disease-relevant behavioral changes. Initially, we targeted enhanced green fluorescent protein (EGFP) in mice overexpressing EGFP. A selective knockdown of both EGFP protein and mRNA was observed throughout the brain, with lesser down-regulation in regions distal to the infusion site. We then targeted endogenous genes, encoding the dopamine (DAT) and serotonin transporters (SERT). DAT-siRNA infusion in adult mice produced a significant down-regulation of DAT mRNA and protein and elicited hyperlocomotion similar, but delayed, to that produced on infusion of GBR-12909, a potent and selective DAT inhibitor. Similarly, SERT-siRNA infusion resulted in significant knockdown of SERT mRNA and protein and elicited reduced immobility in the forced swim test similar to that obtained on infusion of citalopram, a very selective and potent SSRI. Application of this non-viral RNAi approach may accelerate target validation for neuropsychiatric disorders that involve a complex interplay of gene(s) from various brain regions.

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PubMed2004

Neurochemical and behavioral consequences of widespread gene knockdown in the adult mouse brain by using nonviral RNA interference.

Gene expression analysis implicates an increasing number of novel genes in the brain as potential targets for the treatment of neurological and psychiatric disorders. Frequently, these genes are ubiquitously expressed in the brain and, thus, may contribute to a pathophysiological state through actions in several brain nuclei. Current strategies employing genetically modified animals for in vivo validation of such targets are time-consuming and often limited by developmental adaptations. Somatic gene manipulation using viral-mediated RNA interference (RNAi) has emerged recently, although restricting the target validation to specific brain nuclei. We investigated whether nonviral infusion of short interfering RNA (siRNA) into the ventricular system would enable a sequence-specific gene knockdown. The temporality and extent of siRNA-induced down-regulation were analyzed by targeting a transgene, EGFP, in mice overexpressing EGFP. Extensive knockdown of EGFP was observed, especially in regions adjacent or dorsoventrally and mediolaterally distant to the infusion site (dorsal third ventricle), with lesser knockdown in more distal regions. We challenged our RNAi approach to generate a specific knockdown of an endogenous gene, encoding the dopamine transporter (DAT) in regions (ventral midbrain) far distal to the infusion site. DAT-siRNA infusion in adult mice produced a significant down-regulation of DAT mRNA and protein in the brain and also elicited a temporal hyperlocomotor response similar to that (but delayed) obtained upon infusion of GBR-12909, a pharmacologically selective DAT inhibitor. Application of this nonviral RNAi approach may accelerate target validation for neuropsychiatric disorders that involve a complex interplay of gene(s) from various brain regions.

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PubMed2004

Applications of a rat multiple tissue gene expression data set.

With the sequencing and assembly of the rat genome comes the difficult task of assigning functions to genes. Tissue localization of gene expression gives some information about the potential role of a gene in physiology. Various examples of the utility of multiple tissue gene expression data sets are illustrated here. First, we highlight their use in finding genes that might play an important role in a particular tissue on the basis of exclusive expression in that tissue or coexpression with a gene or genes with known function. Second, we show how this data might be used to explain known phenotypic differences between strains. Third, we show how expression patterns of genes in a genomic interval might identify candidate genes in quantitative trait loci (QTL) mapping studies. Lastly, we show how multiple tissue and species data can help researchers prioritize follow up studies to microarray experiments. All of these applications of multiple tissue gene expression data sets will play a role in functionally annotating the rat genome.

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