Project description:<p>We generated primary cultures from mechanically isolated kidney glomeruli (filtration unit of the nephron) which are composed of podocytes and mesangial cells. In parallel, we generated primary kidney cortex tubule cell cultures, which are composed primarily of proximal tubule cells. Early passage cultures of these two cell types were subjected to chromatin accessibility profiling (DNase-Seq) and gene expression profiling (RNA-Seq). We found thousands of dynamically regulated enhancers in both cell types that potentially regulate nearby and distal target genes that are differentially expressed. These data will be useful for understanding the epigenomic regulation of gene transcription in key kidney cell types.</p>
Project description:We report the high-throughput profiling of histone modifications in prostate cancer cells. By obtaining over 1 billion bases of sequence from chromatin immunoprecipitated DNA, we generated genome-wide chromatin-state maps of prostate cancer cells. we found androgen treatment dismisses a nucleosome over AR binding sites that are flanked by a pair of H3K4me2 marked nucleosomes. A novel quantitative model built on the behavior of such nucleosome pairs correctly identified regions bound by the regulators of the immediate androgen response including AR and FoxA1. More importantly this model also correctly predicted novel binding sites for other transcription factors present following prolonged androgen stimulation including Oct1 and NKX3.1. Thus quantitative modeling of enhancer structure provides a powerful predictive method to infer the identity of transcription factors involved in cellular responses to specific stimuli. Examination of 2 different histone modifications in prostate cancer cells with and without androgen (dihydrotestosterone, DHT) treatment.
Project description:We used high throughput sequencing to analyze the gene expression profiling of human aortic smooth muscle cells (AoSMC). By comparing the gene expression profiling of AoSMC with or without H19 knockdown, 2940 genes were found at least 1.5-fold up-regulated in siH19 relative to siCon cells, meanwhile 2790 genes were found at least 1.5-fold down-regulated in siH19 over siCon cells.
Project description:We used high throughput sequencing to analyze the gene expression profiling of human uterine smooth muscle cells (USMC). By comparing the gene expression profiling of USMC with or without H19 knockdown, 215 genes were found at least 1.5-fold up-regulated in siH19 relative to siCon cells, meanwhile 228 genes were found at least 1.5-fold down-regulated in siH19 over siCon cells.
Project description:Transcriptional profiling of cotton ovule cells. Comparison of expression of genes in cultured ovules (-1 DPA) treated with or without phytohormones (5um IAA and 1um GA) and over a time-course from 0 to 12 hours.