This study, designed and conducted as part of the International Life Sciences Institute working group on the Application of Genomics and Proteomics, examined the changes in the expression profile of genes associated with the administration of three different nephrotoxicants--cisplatin, gentamicin, and puromycin--to assess the usefulness of microarrays in the understanding of mechanism(s) of nephrotoxicity. Male Sprague-Dawley rats were treated with daily doses of puromycin (5-20 mg/kg/day for 21 days), gentamicin (2-240 mg/kg/day for 7 days), or a single dose of cisplatin (0.1-5 mg/kg). Groups of rats were sacrificed at various times after administration of these compounds for standard clinical chemistry, urine analysis, and histological evaluation of the kidney. RNA was extracted from the kidney for microarray analysis. Principal component analysis and gene expression-based clustering of compound effects confirmed sample separation based on dose, time, and degree of renal toxicity. In addition, analysis of the profile components revealed some novel changes in the expression of genes that appeared to be associated with injury in specific portions of the nephron and reflected the mechanism of action of these various nephrotoxicants. For example, although puromycin is thought to specifically promote injury of the podocytes in the glomerulus, the changes in gene expression after chronic exposure of this compound suggested a pattern similar to the known proximal tubular nephrotoxicants cisplatin and gentamicin; this prediction was confirmed histologically. We conclude that renal gene expression profiling coupled with analysis of classical end points affords promising opportunities to reveal potential new mechanistic markers of renal toxicity.

Investigating the developmental, structural and functional complexity of mammalian tissues and organs depends on identifying and gaining experimental access to diverse cell populations. Here, we describe a set of recombinase-responsive fluorescent indicator alleles in mice that significantly extends our ability to uncover cellular diversity by exploiting the intrinsic genetic signatures that uniquely define cell types. Using a recombinase-based intersectional strategy, these new alleles uniquely permit non-invasive labeling of cells defined by the overlap of up to three distinct gene expression domains. In response to different combinations of Cre, Flp and Dre recombinases, they express eGFP and/or tdTomato to allow the visualization of full cellular morphology. Here, we demonstrate the value of these features through a proof-of-principle analysis of the central noradrenergic system. We label previously inaccessible subpopulations of noradrenergic neurons to reveal details of their three-dimensional architecture and axon projection profiles. These new indicator alleles will provide experimental access to cell populations at unprecedented resolution, facilitating analysis of their developmental origin and anatomical, molecular and physiological properties.

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