Project description:MicroRNAs are important negative regulators of protein coding gene expression, and have been studied intensively over the last few years. To this purpose, different measurement platforms to determine their RNA abundance levels in biological samples have been developed. In this study, we have systematically compared 12 commercially available microRNA expression platforms by measuring an identical set of 20 standardized positive and negative control samples, including human universal reference RNA, human brain RNA and titrations thereof, human serum samples, and synthetic spikes from homologous microRNA family members. We developed novel quality metrics in order to objectively assess platform performance of very different technologies such as small RNA sequencing, RT-qPCR and (microarray) hybridization. We assessed reproducibility, sensitivity, quantitative performance, and specificity. The results indicate that each method has its strengths and weaknesses, which helps guiding informed selection of a quantitative microRNA gene expression platform in function of particular study goals.
Project description:Polycystic Kidney Disease (PKD) is a genetic disease of the kidney characterized by the gradual replacement of normal kidney parenchyma by fluid-filled cysts and fibrotic tissue. Autosomal Dominant Polycystic Kidney Disease (ADPKD) is caused by mutations in the PKD1 or PKD2 gene. Here we present an RNASeq experiment designed to investigate the effect of a kidney specific and Tamoxifen inducible knockout of the Pkd1 gene in mice. 7 mice were grouped into two groups, 4 Tamoxifen treated mice which develop an adult onset Polycystic Kidney Disease phenotype and 3 untreated mice which have WT phenotype.
Project description:The availability of human genome sequence has transformed biomedical research over the past decade. However, an equivalent map for the human proteome with direct measurements of proteins and peptides was lacking. To this end, Akhilesh Pandey's lab reported a draft map of the human proteome based on high resolution Fourier transform mass spectrometry-based proteomics technology, which included an in-depth proteomic profiling of 30 histologically normal human samples including 17 adult tissues, 7 fetal tissues and 6 purified primary hematopoietic cells ( http://dx.doi.org/10.1038/nature13302 ). The profiling resulted in identification of proteins encoded by greater than 17,000 genes accounting for ~84% of the total annotated protein-coding genes in humans. This large human proteome catalog (available as an interactive web-based resource at http://www.humanproteomemap.org) complements available human genome and transcriptome data to accelerate biomedical research in health and disease. Pandey's lab and collaborators request that those considering use of this primary dataset for commercial purposes contact pandey@jhmi.edu. The full details of this study can be found in the PRIDE database: www.ebi.ac.uk/pride/archive/projects/PXD000561/. This ArrayExpress entry represents a top level summary of the metadata only which formed the basis of the reanalysis performed by Joyti Choudhary's team ( jc4@sanger.ac.uk ), results of which are presented in the Expression Atlas at EMBL-EBI : http://www.ebi.ac.uk/gxa/experiments/E-PROT-1.
Project description:H. seropedicae wild-type or ntrC mutant were grown on three different nitrogen conditions: nitrogen limiting, ammonium shock and nitrate shock.
Project description:The miRNA microarray analysis was performed to explore the expression profiles of miRNAs using the same liver tissues of NFD, LSF and HSF groups Summary: An abstract of the experiment and the data analysis. Project Description: Sample and experiment information. Array Information: miRCURY™ LNA expression array information. Data Analysis for miRNAs: 1. Low intensity filtering and data normalization: After low intensity miRNAs filtering, raw signal intensities are normalized in Median method. (miRNAs that intensities>=30 in all samples are chosen for calculating normalization factor) 2. Quality assessment of miRNA data after filtering: Contains box plot, Correlation Matrix and scatter plot for miRNAs after normalization. 3. Differentially expressed miRNAs screening: Contains significant differentially expressed miRNAs that pass Volcano Plot filtering. (Fold Change>=1.5, P-value<=0.05) 4. Heat map and hierarchical clustering: Hierarchical clustering on the significant differentially expressed miRNAs that passed Volcano Plots filtering. Sample RNA Quality Control: Sample quality control data file from Nanodrop 1000 spectrophotometer and standard denaturing agarose gel electrophoresis. Methods: A brief introduction for microarray, experiment, and data analysis. FAQ: Frequently asked question Additional miRNA Array Analysis (charge an extra fee): Prediction Analysis for Microarrays (PAM analysis) miRNA Target Gene Prediction and Functional Analysis Additional files provided: Graphs (*.jpg) Raw Intensity File(*.xls, raw miRNAs signal intensity) Layout File (*.gal, the files contain information on the positioning of the capture probes on the array and microRNA annotations for your species of interest) Raw data files produced by GenePix Pro 6.0
Project description:Naïve and activated T-cells has a different response to antigenic challenge. We examine whether a cytokine like IL-6 induces different responses through the Jak-STAT pathway to affect the functional characteristics of a given CD4 T‑cell subset. We isolated naïve and effector memory (Tem) CD4 T-cells to investigated STAT1 and STAT3 binding after 1-hour treatment with 20ng/ml IL-6 in the presence of anti-CD3/CD28.
Project description:To define the role of MAGE-A1 in melanoma growth and metastasis, we performed RNA-seq analysis on MAGE-A1 overexpression (OE) and knockdown (KD) models in A375 human melanoma cell line. Our results revealed that overexpression of MAGE-A1 dramatically promoted proliferation, migration, and invasion of human melanoma cells in vitro and down-regulated of MAGE-A1 inhibited tumor cell proliferation and invasion. Furthermore, MAGE-A1 exerts its tumor promoting activity via activating including ERK-MAPK signaling pathway by RNA-seq analysis. mRNA profiles of MAGE-A1 over expression (OE), knockdown (KD), pcDNA-vector control, and pRNAT-scramble control in A375 cell line were generated using Ion torrent
Project description:Methylated DNA immunoprecipitation sequencing (MeDIP-Seq) is a widely used approach to study DNA methylation genome-wide. Here, we present a novel MeDIP-Seq protocol compatible with the Ion Torrent semiconductor-based sequencing platform that is scalable and accurately identifies sites of differential DNA methylation. Additionally, we demonstrate that the high-throughput data derived from MeDIP-Seq on the Ion Torrent platform provides adequate coverage of CpG cytosines, the methylation states of which we validated at single-base resolution on the Infinium HumanMethylation450K Beadchip array. We applied this integrative approach to further investigate the role of DNA methylation in alternative splicing and to profile 5-mC and 5-hmC variants of DNA methylation in normal human brain tissue that we observed localize over distinct genomic regions. These applications of MeDIP-Seq on the Ion Torrent platform have broad utility and add to the current methodologies for profiling genome-wide DNA methylation states in normal and disease conditions. MeDIP-Seq on Ion Torrent Platform in HCT116 and Human Brain
Project description:Analysis of CGTH-W-1 follicular thyroid carcinoma cells transcriptome following 48 hrs siRNA-mediated depletion of PROX1. PROX1 is a homeobox transcription factor. PROX1 depletion decreases migratory ability, motility and invasivness and induces profound cytoskeleton changes of CGTH-W-1 cells. Results provide insight into the role of PROX1 in the thyroid cancer. Three biological replicates for a given condition