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An Optimized Sponge for microRNA miR-9 Affects Spinal Motor Neuron Development in vivo

The specification of motor neuron (MN) subtypes and columnar organization in developing spinal cord is controlled by multiple transcription factors. FoxP1 drives specification of lateral motor neuron (LMN) subtypes, and we demonstrated in our previous work that FoxP1 expression levels are regulated...

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Detalles Bibliográficos
Autores principales: Otaegi, Gaizka, Pollock, Andrew, Sun, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3251795/
https://www.ncbi.nlm.nih.gov/pubmed/22291613
http://dx.doi.org/10.3389/fnins.2011.00146
Descripción
Sumario:The specification of motor neuron (MN) subtypes and columnar organization in developing spinal cord is controlled by multiple transcription factors. FoxP1 drives specification of lateral motor neuron (LMN) subtypes, and we demonstrated in our previous work that FoxP1 expression levels are regulated by the microRNA miR-9. Here we show that ectopic FoxP1 expression in the chick spinal cord can rescue Lhx3 and Hb9 expression in MNs altered by miR-9 over-expression, demonstrating that FoxP1 is a critical functional interaction partner for miR-9 in LMN development. Moreover, we have optimized a technique called a miRNA sponge in vitro, to permit easy discovery of the role of individual miRNA in vivo using a loss-of-function approach. We here show that narrow spacing between binding sites, inclusion of a coding gene, and optimizing the number of miRNA binding sites can significantly increase the blocking ability of a sponge. We go on to show that a miR-9 sponge reduces detectable miR-9 in the ventral horn, preventing miR-9 silencing of FoxP1 in vivo, and in turn modifies MN subtypes in the spinal cord. Our designs for optimized sponges provide a knockdown tool that is ready to be used to study the function of miRNA in vivo, and in particular for generating transgenic animal models.