Cell type-specific CLIP reveals that NOVA regulates cytoskeleton interactions in motoneurons
Year: 2018
Type: article
Abstract: BACKGROUND: Alternative RNA processing plays an essential role in shaping cell identity and connectivity in the central nervous system. This is believed to involve differential regulation of RNA processing in various cell types. However, in vivo study of cell type-specific post-transcriptional regulation has been a challenge. Here, we describe a sensitive and stringent method combining genetics and CLIP (crosslinking and immunoprecipitation) to globally identify regulatory interactions between NOVA and RNA in the mouse spinal cord motoneurons. RESULTS: We developed a means of undertaking motoneuron-specific CLIP to explore motoneuron-specific protein-RNA interactions relative to studies of the whole spinal cord in mouse. This allowed us to pinpoint differential RNA regulation specific to motoneurons, revealing a major role for NOVA in regulating cytoskeleton interactions in motoneurons. In particular, NOVA specifically promotes the palmitoylated isoform of the cytoskeleton protein Septin 8 in motoneurons, which enhances dendritic arborization. CONCLUSIONS: Our study demonstrates that cell type-specific RNA regulation is important for fine tuning motoneuron physiology and highlights the value of defining RNA processing regulation at single cell type resolution.
Source: Genome biology
Language: English
Topic: RNA Research and Splicing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $5,490
Awards: CLIP Tool Kit (CTK): pipeline, user interface and tutorials for CLIP data analysis, New York Center for Collaborative Research in Common Disease Genomics, RNA Dysregulation in ALS, RNA regulatory networks in motor neuron development and function, Cell-specific RNA Targets of the Fragile X Mental Retardation Protein Family, Single-nucleotide resolution mapping of allelic protein-RNA interactions and splicing-regulatory variants, Combining New Molecular and Informatic Strategies to Find Hidden Ways to Treat Brain Disease
OpenAlex ID: W2949572122