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:The transcription profile of C. acetobutylicum to two major metabolite stress, butanol and butyric acid, was comprehensively investigated at three different concentrations of each metabolite and at four different time points (15, 30, 60 and 75 min post stress). All experiments were performed in 3 parallel biological replicates and the RNA extraction was perfomed in a manner to retain the small RNAs and hence, investigate their role and expression under stress. Genome-wide small RNA and mRNA profiling was done by Illumina TruSeq sample preparation followed by high-throughput sequencing with Illumina HiSeq 2000 platform.M-BM- Please note that all the samples were analyzed for both mRNAs and smallRNAs. We used the miRNeasy Kit from Qiagen to ensure the extraction of the low molecular weight small RNA during the extraction of the total RNA and hence, mRNAs and sRNAs were analyzed together in the total RNA-seq.
Project description:Asthma is a complex syndrome associated with episodic decompensations provoked by aeroaller-gen exposures. The underlying pathophysiological states driving exacerbations are latent in the resting state and do not adequately inform biomarker-driven therapy. A better understanding of the pathophysiological pathways driving allergic exacerbations is needed. We hypothesized that disease-associated pathways could be identified in humans by unbiased metabolomics of bron-choalveolar fluid (BALF) during the peak inflammatory response provoked by a bronchial aller-gen challenge. We analyzed BALF metabolites in samples from 12 volunteers who underwent segmental bronchial antigen provocation (SBP-Ag). Metabolites were quantified using liquid chromatography-tandem mass spectrometry (LC–MS/MS) followed by pathway analysis and cor-relation with airway inflammation. SBP-Ag induced statistically significant changes in 549 fea-tures that mapped to 72 uniquely identified metabolites. From these features, two distinct induci-ble metabolic phenotypes were identified by the principal component analysis, partitioning around medoids (PAM) and k-means clustering. Ten index metabolites were identified that in-formed the presence of asthma-relevant pathways, including unsaturated fatty acid produc-tion/metabolism, mitochondrial beta oxidation of unsaturated fatty acid, and bile acid metabolism. Pathways were validated using proteomics in eosinophils. A segmental bronchial allergen chal-lenge induces distinct metabolic responses in humans, providing insight into pathogenic and pro-tective endotypes in allergic asthma.
Project description:Genome-wide identification of transcription factor (TF) binding sites in the genome of the fission yeast Schizosaccharomyces pombe. The ChIP-nexus method was used. TFs included were: Cbf11-TAP and Cbf12-TAP (and their DBM mutants with impaired DNA binding), TAP-Mga2, and Fkh2-TAP (as an irrelevant control TF). IPs from an untagged WT strain were also analyzed. Cbf11-related IPs were performed from exponential cultures, while Cbf12-related IPs were performed from stationary cultures. YES complex medium was used for all cultivations.
Project description:We have developed a strategy for the detailed structural characterization of complex proteoglycan-derived glycosaminoglycans. Chondroitin/dermatan sulfate isolated from rat INS-1 832/13 insulinoma cells known to produce primarily one proteoglycan was used to evaluate and demonstrate the efficacy of the strategy.
Project description:In order to identify how MnTE-2-PyP affects p300 association to chromatin genome-wide, we performed a p300 chromatin Immunoprecipitation assay followed by Next Generation Sequencing on PC3 cells treated with or without MnTE-2-PyP one hour post-irradiation (Figure 3A). Based on the called peaks near genes, we predicted that HIF-1βand CREB transcription factors were associating DNA less in the presence of MnTE-2-PyP. DNA was ChIP-Fixed from Pc3 cells treated with 20 Gy radiation and with and without T2E drug. There are 2 biological replicates of PC3 untreated cells and 3 biological replicates of PC3 cells treated with MnTE-2-PyP. There are two corresponding input samples for the biological replicates.
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: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