Project description:This series of microarray data contain transcript intensity of mpkCCD cells. Experiment Overall Design: The mpkCCDc14 cells were cloned into colonies with varying aquaporin 2 (AQP2) expression levels in the presence of vasopressin analogy dDAVP. Transcript profiling was done for the original cells and cell clones 2, 3, 9, 10, and 11. By studying transcripts that correlate with AQP2 mRNA levels among cell clones, the objective was to identify transcripts responsible for cell-specific expression of AQP2.
Project description:A series contains a set of transcript intensity values measured by Affymetrix microarray. This SuperSeries is composed of the SubSeries listed below.
Project description:This series contain time course microarray data from MCF10A-Myc cells treated with either ethanol or Dexamethasone for 30 min, 2 hr, 4 hr, and 24 hr. This series contains three biological replicates that were analyzed as independent replicate experiments (data were normalized within each replicate experiment, not across all samples). Keywords: time course
Project description:Purpose: The goal of this study is to identify vasopressin-regulated genes in mouse kidney collecting duct cell line mpkCCD. To explore dynamic regulation of vasoressin-mediated transcriptional regulation, transcriptome of vasopressin-treated cells at four different time points (3h, 6h, 12h, and 24h) were profiled and analyzed. Methods: Total RNAs were isolated from vasopressin-treated mpkCCD cells at different time points (3h, 6h, 12h, and 24h). Three replicates for vehicle- or vasopressin-treated group were generated at each tested time point. cDNA libraries were prepared using a Nextera DNA library preparation protocol. The sequence reads from Illumina HiSeq3000 platform were qualified and quantified at the transcript level using Salmon (0.14.1). Differential expression analysis were performed using edgeR. Results: mRNA profiles of mouse kidney collecting duct mpkCCD cells treated with vasopressin analog (dDAVP) for four different time potins (3h, 6h, 12h, and 24h) were generated using an optimized RNA-Seq workflow. Transcript level quantification using a pseudo-alignment quantification method (Salmon) was performed to calculate transcript abundance in each sample. Then differential expression analysis identified the differentially expressed genes including Aqp2 gene at each time point comparison (dDAVP vs vehicle, FDR < 0.05). In addition, several new vasopressin-responsive genes that have not been elucidated before were identified. Conclusions: This study revealed dynamic changes of vasopressin-responsive gene expression within 24 hours in mouse kidney collecting duct cells. The results from time-course transcriptome profiling identified the known vasopressin-responsive genes and several novel gene that are regulated temporally.
Project description:Vasopressin is the major hormone that regulates renal water excretion. It does so by binding to a receptor in renal collecting duct cells, triggering signaling pathways that ultimately regulate the abundance, location, and activity of the water channel protein aquaporin 2. We took an advantage of quantitative large scale proteomic technologies and oligonucleotide microarrays to quantify steady state changes in protein and transcript abundances in response to vasopressin in a collecting duct cell line, mpkCCD clone 11 (Yu et al. PNAS 2009, 106:2441-2446). This cell line originally developed by Alan Vandewalle’s group recapitulates vasopressin-mediated AQP2 expression and phosphorylation as seen in native colleting duct cells. The mpkCCD cells were grown on membrane supports to permit polarization. Once transepithelial resistance reached 5kohm per centimeter square and higher, the cells were exposed to the vasopressin V2 receptor analog, dDAVP, at a physiological concentration, 0.1nM, for 5 days. Control experiments were done with cells exposed to vehicle alone. Total RNA was harvested and processed for transcript expression analysis using Affymetrix GeneChip Mouse Genome 430 2.0 Arrays. Each experimental treatment, vehicle and dDAVP, was repeated 3 times.
Project description:Comparison between pretreated donor grafts corticosteroid vs. placebo Prospective, randomised, double-blind, placebo-control trial, xls files contain normalized data (Default Total Intensity Normalization, see Stanford Microarray Database website), gpr files the raw data
Project description:In this study, we analyzed the transcriptome of a highly differentiated mouse clonal CCD principal cell line (mpkCCD(cl4)) and the changes in the transcriptome induced by aldosterone and vasopressin. Serial analysis of gene expression (SAGE) was performed on untreated cells and on cells treated with either aldosterone or vasopressin for 4 h. The transcriptomes in these three experimental conditions were determined by sequencing 169,721 transcript tags from the corresponding SAGE libraries. Limiting the analysis to tags that occurred twice or more in the data set, 14,654 different transcripts were identified, 3,642 of which do not match known mouse sequences. Statistical comparison (at P < 0.05 level) of the three SAGE libraries revealed 34 AITs (aldosterone-induced transcripts), 29 ARTs (aldosterone-repressed transcripts), 48 VITs (vasopressin-induced transcripts) and 11 VRTs (vasopressin-repressed transcripts). A selection of the differentially-expressed, hormone-specific transcripts (5 VITs, 2 AITs and 1 ART) has been validated in the mpkCCD(cl4) cell line either by Northern blot hybridization or reverse transcription-PCR. The hepatocyte nuclear transcription factor HNF-3-alpha (VIT39), the receptor activity modifying protein RAMP3 (VIT48), and the glucocorticoid-induced leucine zipper protein (GILZ) (AIT28) are candidate proteins playing a role in physiological responses of this cell line to vasopressin and aldosterone. Keywords: other
Project description:In this study, we analyzed the transcriptome of a highly differentiated mouse clonal CCD principal cell line (mpkCCD(cl4)) and the changes in the transcriptome induced by aldosterone and vasopressin. Serial analysis of gene expression (SAGE) was performed on untreated cells and on cells treated with either aldosterone or vasopressin for 4 h. The transcriptomes in these three experimental conditions were determined by sequencing 169,721 transcript tags from the corresponding SAGE libraries. Limiting the analysis to tags that occurred twice or more in the data set, 14,654 different transcripts were identified, 3,642 of which do not match known mouse sequences. Statistical comparison (at P < 0.05 level) of the three SAGE libraries revealed 34 AITs (aldosterone-induced transcripts), 29 ARTs (aldosterone-repressed transcripts), 48 VITs (vasopressin-induced transcripts) and 11 VRTs (vasopressin-repressed transcripts). A selection of the differentially-expressed, hormone-specific transcripts (5 VITs, 2 AITs and 1 ART) has been validated in the mpkCCD(cl4) cell line either by Northern blot hybridization or reverse transcription-PCR. The hepatocyte nuclear transcription factor HNF-3-alpha (VIT39), the receptor activity modifying protein RAMP3 (VIT48), and the glucocorticoid-induced leucine zipper protein (GILZ) (AIT28) are candidate proteins playing a role in physiological responses of this cell line to vasopressin and aldosterone. Keywords: other
Project description:This Series contain trascriptional profiling via RNA-seq for two ALL-B cell lines, one commercial (NALM-6), one patient-derived (LAL-B), in presence or absence of AATF transcript. In NALM-6, also MYC was depleted and sequenced in triplicate. Furthermore, the Burkitt's Lymphoma P493 cell line has been sequenced in presence or absence of Tetracycline (MYC On-Off) and in CN vs siAATF.