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RiboTag Immunoprecipitation in the Germ Cells of the Male Mouse
Published on: March 4, 2020
Mouse TU tagging: a chemical/genetic intersectional method for purifying cell type-specific nascent RNA
Leslie Gay1, Michael R Miller, P Britten Ventura
1Institute of Neuroscience, University of Oregon, Eugene, 97403, USA.
Genes & Development
|January 12, 2013
Summary
Mouse thiouracil (TU) tagging enables in vivo cell type-specific RNA purification. This method identifies actively transcribed genes in specific cells and times within intact mice.
Area of Science:
- Molecular Biology
- Genetics
- Biochemistry
Background:
- Transcriptional profiling is crucial for studying development and disease.
- Existing cell type-specific RNA purification methods face limitations like cell dissociation trauma and incomplete RNA species identification.
Purpose of the Study:
- To introduce a novel in vivo method for covalent labeling and purification of cell type-specific RNA.
- To overcome limitations of current RNA purification techniques.
Main Methods:
- Developed "mouse thiouracil (TU) tagging," a genetic and chemical intersectional method.
- Utilized Cre-induced uracil phosphoribosyltransferase (UPRT) expression for spatial specificity.
- Employed 4-thiouracil (4TU) injection for temporal specificity, leading to thio-RNA production in UPRT(+) cells for subsequent RNA sequencing (RNA-seq).
Main Results:
- Successfully purified transcripts from spatially complex and rare cells (e.g., Tie2:Cre(+) brain endothelia/microglia).
- Captured temporally dynamic transcripts, including those induced by lipopolysaccharide (LPS).
- Differentiated immune versus niche spleen RNA using chimeric mice from UPRT(+) bone marrow transplants.
Conclusions:
- TU tagging offers a novel approach for identifying actively transcribed genes in specific cell populations.
- The method allows for precise temporal control in studying gene expression within intact organisms.
- TU tagging overcomes previous limitations, enabling comprehensive RNA analysis in complex biological systems.

