American Journal of Physiology-Renal PhysiologyPhysiologyPeer-reviewed journal article
An efficient inducible model for the control of gene expression in renin cells
Silvia MedranoiD, Manako YamaguchiiD, Lucas Ferreira de AlmeidaiD, Jason P. SmithiD, Hiroki YamaguchiiD, Curt D. SigmundiD, Maria Luisa S. Sequeira-LόpeziD, R. Ariel GómeziD
Abstract
BackgroundFate mapping and genetic manipulation of renin cells have relied on either non-inducible Cre lines that can introduce developmental effects of gene deletion or BAC transgene-based inducible models that may be prone to spurious and/or ectopic gene expression. MethodsWe generated an inducible mouse model in which CreERT2 is under the control of the endogenous Akr1b7 gene, an independent marker of renin cells. ResultsWe evaluated the pattern of Cre expression in Akr1b7CreERT2/+;R26RmTmG/+ mice in which Akr1b7+/renin+ cells become GFP+ upon tamoxifen administration. At E18.5 and P5, GFP was found in Juxtaglomerular cells, along the arterioles, and in the glomerular mesangium. In adult kidneys, GFP was present mainly in Juxtaglomerular cells. In mice treated with captopril and a low sodium diet to induce recruitment of renin cells, GFP extended along the afferent arterioles and in the mesangium. In addition, we deleted renin in adult mice and found a marked reduction in kidney renin expression and mean arterial pressure in mutant animals. When subjected to a homeostatic threat, mutant mice were unable to recruit renin+ cells. Most importantly, mice with renin deletion induced in the adult developed concentric vascular hypertrophy ruling out potential developmental effects on the vasculature due to the lack of renin. ConclusionsRenin can be efficiently and specifically deleted in renin cells in adult life using our conditional model. Akr1b7CreERT2 mice constitute an excellent model for the fate mapping of renin cells and for the spatial and temporal control of gene expression in renin cells.
- organism: mouse
- research focus: cell type annotation
- research focus: gene regulatory network inference
- research focus: perturbation response prediction
- research focus: cell signaling & trafficking
- approach: experimental assay
- Citations
- 8
- FWCI
- 2.19
- Field percentile
- top 11%
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