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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, and the relative efficiency of 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]], | 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 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. | ||
The mouse RNA binding protein data is posted [http://www.informatics.jax.org/searches/reference.cgi?104515 here]. | The mouse RNA binding protein data is posted [http://www.informatics.jax.org/searches/reference.cgi?104515 here]. | ||
Revision as of 14:57, 16 January 2007
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 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.
The mouse RNA binding protein data is posted here.
