Silver: RNA Dynamics: Difference between revisions
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===Dynamics of RNAs=== | ===Dynamics of RNAs=== | ||
The importance of RNAs in regulation of cell determination and disease continues to grow. We study the dynamics of RNAs including co-transcriptional alternative splicing and transport ([[User: IanSwinburne |Ian Swinburne]]). We use a combination of genetic, biochemical and novel genomic and imaging approaches to study RNA dynamics on a systems-wide level in both model organisms (yeast and fly) and human cells, eg ([[User: NatalieGilks |Natalie Gilks]], [[User: OonaJohnstone |Oona Johnstone]] and [[User: MichaelMoore |Michael Moore]]). We have generated a spatial and temporal map of the expression of all RNA-binding proteins in mammalian neural development ([[User: AdrienneMckee |Adrienne Mckee]]). One goal is to decode the way that proteins recognize RNA throughout the genome. | The importance of RNAs in regulation of cell determination and disease continues to grow. We study the dynamics of RNAs including co-transcriptional alternative splicing and transport, and the relative efficiency of intracellular pre-mRNA processing and its impact on noise in gene expression. ([[User: IanSwinburne |Ian Swinburne]]). We use a combination of genetic, biochemical and novel genomic and imaging approaches to study RNA dynamics on a systems-wide level in both model organisms (yeast and fly) and human cells, eg ([[User: NatalieGilks |Natalie Gilks]], [[User: OonaJohnstone |Oona Johnstone]] and [[User: MichaelMoore |Michael Moore]]). We have generated a spatial and temporal map of the expression of all RNA-binding proteins in mammalian neural development ([[User: AdrienneMckee |Adrienne Mckee]]). One goal is to decode the way that proteins recognize RNA throughout the genome. | ||
Revision as of 18:56, 14 March 2006
Dynamics of RNAs
The importance of RNAs in regulation of cell determination and disease continues to grow. We study the dynamics of RNAs including co-transcriptional alternative splicing and transport, and the relative efficiency of intracellular pre-mRNA processing and its impact on noise in gene expression. (Ian Swinburne). We use a combination of genetic, biochemical and novel genomic and imaging approaches to study RNA dynamics on a systems-wide level in both model organisms (yeast and fly) and human cells, eg (Natalie Gilks, Oona Johnstone and Michael Moore). We have generated a spatial and temporal map of the expression of all RNA-binding proteins in mammalian neural development (Adrienne Mckee). One goal is to decode the way that proteins recognize RNA throughout the genome.
