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Steven S. Potter, PhDProfessor, Director of Gene and Protein Expression CoreDepartment of Pediatrics; Division of Developmental BiologyVisit the Potter Lab
Dr. Potter is the Director of the Gene and Protein Expression Core and collaborates with DHC investigators to study intestinal development. Dr. Potter is also the PI of a research program focused on kidney development. His overall research strategy investigates the genetic pathways that drive organogenesis, with particular interest in genes that occupy upper level positions in the genetic hierarchy of development. Among these are the Hox genes, dispersed homeobox genes, zinc finger transcription factors, and other transcription factor genes, as well as growth factors and their signal transduction pathways. He has generated targeted mice with mutations in Hoxa 11, Gsh-1, Gsh-2, c-myb, Sp4, Sp8, Lhx4, PygI, PygII, Lrd, Prx1, and Npas3 and studied the resulting developmental defects. He also uses microarrays to define downstream targets of transcription factors, to provide a global analysis of mutant phenotypes, and to create an atlas of normal gene expression states during organogenesis.
Dr. Potter has ongoing collaboration with Drs. Aronow, and Wiginton to study the transcriptome of the developing kidney, intestine, and intestinal epithelial cell lines.
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This heat map shows probe sets with the most component-specific expression. Each horizontal line represents a probe set, with red indicating high expression and blue indicating low expression in the various components. Compartments are: MM, E11.5 metanephric mesenchyme; CM, E15.5 cap mesenchyme; RV, E12.5 renal vesicle; SS, E15.5 S-shaped body; RC, E15.5 renal corpuscle; PT, E15.5 proximal tubules; AH, E15.5 anlage of and immature loop of Henle; UB, E11.5 ureteric bud; UT, E15.5 ureteric tip region; CCD, E15.5 cortical collecting duct; MC, E15.5 medullary collecting duct; UR, E15.5 urothelium; US, ureteral smooth muscle layer; MI, medullary interstitium; CI, cortical and nephrogenic interstitium. Genes are divided into 15 K-means clusters. Two GO biological processes are shown for each cluster (p < 0.001). Figure 3 from Dev Cell, 2008; 15: 781-791.
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