Cellular and Molecular Gastroenterology and Hepatology · 2017 · 55 citations · 39 references
Life SciencesCell BiologyDevelopmental BiologyCell SignalingDevelopmental SignalingNutritional PhysiologyDigestive PhysiologyDigestive System DevelopmentGastrointestinal FunctionIntestinal AbsorptionIntestinal DevelopmentNutrient DigestionDevelopmental Spatial PatterningIntestinal Epithelial DifferentiationIntestinal Epithelial PatterningIntestinal PatterningRegulation Of Nutrient AssimilationSmall Intestinal FunctionSmall Intestinal PhysiologySmall Intestine Anatomy
BACKGROUND & AIMS: Patterning of the small intestinal epithelium along its cephalocaudal axis establishes three functionally distinct regions: duodenum, jejunum, and ileum. Efficient nutrient assimilation and growth depend on the proper spatial patterning of specialized digestive and absorptive functions performed by duodenal, jejunal, and ileal enterocytes. When enterocyte function is disrupted by disease or injury, intestinal failure can occur. One approach to alleviate intestinal failure would be to restore lost enterocyte functions. The molecular mechanisms determining regionally defined enterocyte functions, however, are poorly delineated. We previously showed that GATA binding protein 4 (GATA4) is essential to define jejunal enterocytes. The goal of this study was to test the hypothesis that GATA4 is sufficient to confer jejunal identity within the intestinal epithelium. METHODS: conditional knock-in mouse line and expressed GATA4 in the ileum, where it is absent. RESULTS: , which encodes an enterokine that has been implicated in an increasing number of human diseases. CONCLUSIONS: Overall, this study refines our understanding of an important GATA4-dependent molecular mechanism to pattern the intestinal epithelium along its cephalocaudal axis by elaborating on GATA4's function as a crucial dominant molecular determinant of jejunal enterocyte identity. Microarray data from this study have been deposited into NCBI Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo) and are accessible through GEO series accession number GSE75870.
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Model-based Analysis of ChIP-Seq (MACS)
Yong Zhang, Tao Liu, Clifford A. Meyer et al. · Genome biology · 2008 · 19.9K citations · Full text