Project description:<p>The Gabriella Miller Kids First Pediatric Research Program (Kids First) is a trans-NIH effort initiated in response to the 2014 Gabriella Miller Kids First Research Act and supported by the NIH Common Fund. This program focuses on gene discovery in pediatric cancers and structural birth defects and the development of the Gabriella Miller Kids First Pediatric Data Resource (Kids First Data Resource).</p><p>
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</div><div>All of the WGS and phenotypic data from this study are accessible through dbGaP and <a href="https://kidsfirstdrc.org/" target="_blank">kidsfirstdrc.org</a>, where other Kids First datasets can also be accessed.
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</div><div><br></div><div>Congenital defects of the kidney and urinary tract are a common cause of kidney failure in children and adults and elucidation of the genetics of these disorders will provide new opportunities for diagnosis, risk stratification and prevention of complications.</div><div><br></div><p></p>
Project description:RIVUR Trial participants had Agilent 1M probe and or Nimblegen 2.1M probe aCGH performed on genomic DNA. The study was designed to discover DNA copy number variations in genes critical in kidney/urinary tract development and urinary tract infection susceptibility. Reference DNA used is a single male sample
Project description:Purpose: to analyze the mRNA content of highly purified HCN3+ urinary tract pacemaker cells compared to HCN3- neighboring cells Methods: we sorted HCN3+ and HCN3- cells from E18.5 WT embryos and analyzed their content using RNA-seq Results: Identified differentially expressed transcripts in HCN3+ cells compared to HCN3- cells Conclusions: our study presents the first whole transcriptome analysis of HCN3+ urinary tract pacemaker cells that would provide a basis for the charactarization of the development and function of those cells
Project description:Pseudomonas aeruginosa is one of the most frequent pathogen dominant in complicated urinary tract infections (UTI). To unravel the adaptation strategies of P. aeruginosa to the conditions in the urinary tract and to define the underlying regulatory network an artificial growth system mimicking the conditions in the urinary tract was established. Transcriptome analyses were used to investigate the physiological status of P. aeruginosa under this conditions.