ABSTRACT: Investigation of DNAse Hypersensitivity changes in podocytes cultured under normal or high glucose conditions transfected with a miR-93 mimic or a nontargeting mimic. Examination of the changes in hypersensitivity induced by high glucose culture conditions compared to normal glucose conditions to mimic the diabetic millieu. Further, to see if miR-93 overexpression can reverse these changes.
Project description:Investigation of DNAse Hypersensitivity changes in podocytes cultured under normal or high glucose conditions transfected with a miR-93 mimic or a nontargeting mimic.
Project description:Investigation of mRNA changes in podocytes transfected with a miR-93 mimic or a nontargeting mimic. The design was meant to identify biologically significant, novel targets of the miR-93 microRNA in podocytes
Project description:Diet-induced obesity (DIO) predisposes individuals to insulin resistance, and adipose tissue has a major role in the disease. Insulin resistance can be induced in cultured adipocytes by a variety of treatments, but what aspects of the in vivo responses are captured by these models remains unknown. We use global RNA sequencing to investigate changes induced by TNF-a, hypoxia, dexamethasone, high insulin, and a combination of TNF-a and hypoxia, comparing the results to the changes in white adipose tissue from DIO mice. We found that different in vitro models capture distinct features of DIO adipose insulin resistance, and a combined treatment of TNF-a and hypoxia is most able to mimic the in vivo changes. Using genome-wide DNase I hypersensitivity followed by sequencing, we further examined the transcriptional regulation of TNF-a-induced insulin resistance, and we found that C/EPBM-CM-^_ key regulator of adipose insulin resistance. RNA-seq for 6 insulin resistance conditions and 2 control conditions, Dnase hypersensitivity-seq of 4 conditions and 1 control condition, ChIP-seq on p65 after TNFa treatment.
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcription start sites for Escherichia coli under different conditions. By obtaining sequence from 5' RACE (rapid amplification of cDNA ends) followed by deep sequencing, we generated genome-wide TSS (transcription start site) maps for E. coli. This TSS-map was integrated with ChIP-chip data generated for 6 sigma factors in E. coli, resulting in reconstruction of sigma factor network in E. coli. Examination of transcription start sites by biological duplicates from E. coli for 3 different conditions
Project description:We report the application of single-molecule-based sequencing technology for high-throughput profiling of transcription start sites for two enterobacteria: Escherichia coli and Klebsiella pneumoniae.By obtaining over fourteen billion bases of sequence from 5' RACE (rapid amplification of cDNA ends) followed by deep sequencing, we generated genome-wide TSS (transcription start site) maps for those two species. With experimentally derived TSS datasets, we examined usage of multiple TSSs, length of 5' UTR (untranslated region), SD (Shine-Dalgarno) sequence motif, promoter sequence motif, and dinucleotide preference near TSS site. In addition, we used the TSS datasets to identify sRNAs (small RNAs) in E. coli and K. pneumoniae. Based on these analysis, we compared regulatory elements including promoter, 5' UTR and sRNAs between two species, and investigated similarities and differences of upstream regulatory regions. Moreover, sRNAs were also compared and analyzed in terms of their sequences and target sequences, presenting possible working mechanisms of K. pneumoniae sRNAs by transferring prior knowledge from E. coli sRNAs. Examination of transcription start sites by biological duplicates from E. coli and K. pneumoniae
Project description:This SuperSeries is composed of the following subset Series: GSE35746: Comparative analysis of regulatory elements between Escherichia coli and Klebsiella pneumoniae by genome-wide transcription start site profiling [tiling arrays] GSE35821: Comparative analysis of regulatory elements between Escherichia coli and Klebsiella pneumoniae by genome-wide transcription start site profiling [TSS-Seq] Refer to individual Series
Project description:The goal of the study was to identify genes and pathways that were altered when human pancreatic ductal adenocarcinoma (PDAC) cancer cells are cultured with different carbon source (Glucose versus Galactose). Primary adherent cultures established from patient-derived xenograft passaged in mice were established (PancA6L). Low passage (< 15) PDX-derived primary PDAC PancA6L cultures were trypsinized and seeded at a concentration of 800,000 cells in p100 plates with RPMI medium supplemented with 10% fetal bovine serum (FBS) and 50 units/mL of penicillin and streptomycin. After 24 h, cells were cultured with either 1) glucose-free DMEM medium (Dulbecco´s Modified Eagle Medium, Thermo Fisher Scientific) supplemented with 5mM glucose (0.9 g/L), 10% FBS, 50 units/mL of penicillin and streptomycin and 1mM of pyruvate [Glucose: OXPHOS-independent conditions] or 2) glucose-free DMEM medium (Thermo Fisher Scientific) supplemented with 5mM galactose (0.9 g/L), 10% FBS, 50 units/mL of penicillin and streptomycin and 1mM of pyruvate [Galactose: OXPHOS-competent enriched conditions]. Sugar concentrations of 5mM were chosen to mimic physiological sugar levels (glucose, 5mM) and to avoid potential biological artifacts mediated by supraphysiological sugar levels. Media for both conditions were changed every day Following 14 days in culture as spheres, Total RNA was isolated by the guanidine thiocyanate (GTC) method using standard protocols. PolyA+ RNA fraction was processed as in Illumina’s ‘‘TruSeq RNA Sample Preparation v2 Protocol’’. The resulting purified cDNA library was applied to an Illumina flow cell for cluster generation (TruSeq cluster generation kit v5) and sequenced on the Genome Analyzer IIx with SBS TruSeq v5 reagents by following manufacturer’s protocols. RNA-seq data sets were analyzed using the tool Nextpresso.
Project description:Genome-wide mapping of transcriptional regulatory elements are essential tools for the understanding of the molecular events orchestrating self-renewal, commitment and differentiation of stem cells. We combined high-throughput identification of nascent, Pol-II-transcribed RNAs by Cap Analysis of Gene Expression (CAGE-Seq) with genome-wide profiling of histones modifications by chromatin immunoprecipitation (ChIP-seq) to map active promoters and enhancers in a model of human neural commitment, represented by embryonic stem cells (ESCs) induced to differentiate into self-renewing neuroepithelial-like stem cells (NESC). We integrated CAGE-seq, ChIP-seq and gene expression profiles to discover shared or cell-specific regulatory elements, transcription start sites and transcripts associated to the transition from pluripotent to neural-restricted stem cell. Our analysis showed that >90% of the promoters are in common between the two cell types, while approximately half of the enhancers are cell-specific and account for most of the epigenetic changes occurring during neural induction, and most likely for the modulation of the promoters to generate cell-specific gene expression programs. Interestingly, the majority of the promoters activated or up-regulated during neural induction have a “bivalent” histone modification signature in ESCs, suggesting that developmentally-regulated promoters are already poised for transcription in ESCs, which are apparently pre-committed to neuroectodermal differentiation. Overall, our study provide a collection of differentially used enhancers, promoters, transcription starts sites, protein-coding and non-coding RNAs in human ESCs and ESC-derived NESCs, and a broad, genome-wide description of promoter and enhancer usage and gene expression programs occurring in the transition from a pluripotent to a neural-restricted cell fate. Investiagtion of promoters usage changes during ESCs neural induction ESCs and NESCs promoter usage profiling by CAGE-seq
Project description:The understanding of molecular events occurring in Chlorella during heterotrophy to photoautotrophy transition as well as sudden light stress and glucose starvation, are still largely unknown. To well grasp its cellular metabolism, particularly the regulation of biosynthesis and degradation pathways of lipid, protein and carbohydrates, as well as the diverse trophic adaptation affecting carbon partitioning during heterotrophy to photoautotrophy transition process, we sequenced the transcriptome (RNA-seq) in six time points to discover how transcriptional changes in C. pyrenoidosa modulate metabolic flux trends leading to intracellular components dynamic reassortment. Three independent biological experiments (biological replicates) were carried out in the same batch. In total, eighteen samples collected at six time points (0-, 24-, 72-h from heterotrophic cells and 2-, 8-, 24-h from phototrophic cells) were used for mRNA-Seq library preparation and then submitted to Solexa GA-IIx (Illumina, USA) for sequencing.