Discovery of the p53 targetome in MCF7 cells from ChIP-Seq data
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ABSTRACT: RNA-seq and ChIP-seq on MCF-7 breast cancer cell line upon activation of p53 by the non-genotoxic small molecule Nutlin-3a ChIP-seq on p53 in MCF7 with Nutlin-3a stimulation (S) in triplicate, and the control (input), in stimulated and non stimulated, using illumina HiSeq 2000
Project description:RNA-seq and ChIP-seq on MCF-7 breast cancer cell line upon activation of p53 by the non-genotoxic small molecule Nutlin-3a RNA-seq on MCF7 without (NS) or with Nutlin-3a stimulation (S), in duplicate, using illumina HiSeq 2000
Project description:The clinical presentation, course and treatment of methamphetamine-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in accurately diagnosing MAP at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH-dependency without psychosis (MA) (N=10) and healthy controls (N=10). We used RNA-Sequencing gene expression to characterize molecular signatures associated to METH and MAP status compared to healthy control subjects. Peripheral blood luekocytes gene expression was subject to transcriptional analysis for 10 MAP subjects, 10 subjects with METH-dependency without psychotic symptomics and 10 healthy controls.
Project description:We applied in parallel RNA-Seq and Ribosome-profiling analyses to immortalized human primary BJ fibroblast cells in which p53 was induced by Nutlin-3a RNA-seq, using Illumina HiSeq 2000, was applied to BJ cells treated with Nutlin-3a, at 5 timepoints: 0, 2, 4, 6, 19 hrs Ribosome profiling was applied to BJ cells treated with Nutlin-3a, at 5 timepoints: 0, 2, 4, 6, 19 hrs
Project description:Glycosylation is an abundant post-translational modification of both intracellular and extracellular proteins [1]. The majority of glycans are classified as N-linked chains, where the carbohydrate moiety is attached to asparagine residues, or O-linked chains, most commonly linked to a serine or threonine. N-linked glycosylation is initiated by the oligosaccharyltransferase complex with only two paralogs of the catalytic subunit, whereas O-glycan initiation is more complex. There are several types of O-linked glycosylation, but among the most diverse is the mucin or GalNAc type (hereafter referred to as O-glycosylation). O-glycosylation is initiated by 20 evolutionarily conserved polypeptide GalNAc-transferases (GalNAc-Ts), which catalyze the first step in the O-glycosylation of proteins by adding GalNAc residues to threonine, serine, and tyrosine amino acids (Fig 1A). Each of the GalNAc-Ts are differentially expressed in various tissues and have both distinct and overlapping peptide substrate specificities [2-12]. Thus, the repertoire of GalNAc-Ts expressed in a given cell determines the subset and O-glycosite pattern of glycosylated proteins [13]. Substantial efforts have been made to characterize and predict the substrate specificities of GalNAc-Ts in vitro, but understanding of the in vivo specificities of the individual GalNAc-Ts or their biological functions is limited [13-15]. This lack of insight prevents an understanding of how site-specific O-linked glycosylation affects diseases, such as metabolic disorders, cardiovascular disease, and various malignancies, that have been associated with GalNAc-Ts through genome-wide association studies and other linkage studies [16-26]. Therefore, it is imperative that we establish how O-glycosylation at specific sites in proteins affects protein function. A major task in achieving this goal is to identify the non-redundant biological functions of site-specific O-glycosylation. We and others recently developed new strategies for identifying specific sites on proteins that undergo O-glycosylation in different cell types and tissues [27-31]. Characterization of the O-glycoproteomic landscape in isolated human cells and multiple human cell lines suggests that more than 80 % of all proteins that traffic through the secretory pathway are O-glycoproteins [28, 30]. Probing the non-redundant contributions of individual GalNAc-Ts in cells with and without specific GalNAc-Ts [32-34] has revealed broad substrate specificities for some of the individual isoforms, whereas others seem to have very restricted substrate specificities [33-35]. Assessing all of the mapped O-glycosylation sites to identify associations between O-glycosites and protein annotations, we recently found that O-glycans are over-represented close to tandem repeat regions, protease cleavage sites, within propeptides, and on a select group of protein domains [28, 30, 36]. Although such general associations between the location of O-glycans and protein functions may direct future investigations, the strategy does not define the function of site-specific glycosylation. Further progress in discovering and defining novel functions of site-specific glycosylation events requires direct quantitative analysis of potential biological responses induced by the loss of distinct GalNAc-T isoforms, and such biological responses are not easily observed in single cell culture systems. Instead, more complex model systems can be used to examine and dissect the molecular mechanisms underlying the important biological functions of site-specific glycosylation. We previously used an organotypic tissue model equipped with genetically engineered cells to decipher the function of elongated O-glycans [29]. In the present study, we use the model combined with quantitative O-glycoproteomics and phosphoproteomics to perform open-ended discovery of the biological functions of site-specific glycosylation governed by GalNAc-Ts (Fig 1B). With this combinatorial strategy, we demonstrate that loss of individual GalNAc-T isoforms has distinct phenotypic consequences through their effect on distinct biological pathways, suggesting specific roles during epithelial formation.
Project description:Ribosome profiling and RNAseq data on human BJ fibroblasts and cybrid cells using an adapted ribosome profiling protocol to improve detection of mitochondrial ribosome protected fragments 51-base length single read ribosome profiling data on human fibroblasts and cybrid cells using an adapted ribosome profiling protocol; and 51-base length single read RNAseq on polyA enriched RNA
Project description:The precise control of microRNA (miRNA) biogenesis is important for various cellular functions, and its dysregulation is often associated with human diseases. We previously reported that Terminal uridylyl transferase 4 (TUT4) down-regulates let-7 miRNA biogenesis by oligo-uridylating let-7 precursor (pre-let-7) in mouse embryonic stem cells and that a pluripotency marker Lin28 promotes a processivity of TUT4. Here we find that TUT4 positively controls let-7 biogenesis by adding a uridine residue to the 3’ end of pre-let-7 in the absence of Lin28. Such mono-uridylation enhances Dicer processing by generating an optimal end structure of pre-let-7 for Dicer recognition and may protect pre-miRNA from trimming. Moreover, TUT7, TUT4 and TUT2 redundantly regulate pre-let-7 processing and simultaneous knock down of these TUTs leads to the decrease of mature let-7 and the accumulation of pre-let-7 in cells. This study provides a novel regulation mechanism of miRNA biogenesis, which may function in development and tumorigenesis. HeLa cells were transfected with siRNA two times over a 4~5 day period.
Project description:We have used chromatin immune-precipitation with parallel sequencing (ChIP-Seq) technology to identify genome-wide p53 binding in human lymphoblastoid cell lines treated with a MDM2 inhibitor nutlin-3 ChIP-Seq analysis of p53 binding sites in human lymphoblastoid cells treated with nutlin-3 or vehicle
Project description:We used native ChIP-seq of CENP-A-containing particles from normal centromeres on alpha-satellite DNA and three naturally-occurring neocentromeres to test the proposed models for the major form of the fundamental repeating unit of centromeric chromatin. We found that the predominant form of the CENP-A particle at the centromere is an octameric nucleosome with loose terminal DNA. Additionally, we found CENP-A nucleosomes are strongly phased on the 171 bp alpha-satellite monomers of normal centromeres, and also display strong positioning and neocentromeres. Comparison of CENP-A and bulk nucleosome DNA lengths and positions in three different human neocentromere-containing cell lines
Project description:Castration resistant prostate cancer (CRPC) is a lethal disease1-4. Aberrant activation of the androgen receptor (AR) becomes a central mechanism contributing to the resistance of endocrine therapies2,3. Here we demonstrate that non-coding RNAs transcribed from the AR bound-enhancers RNAs (AR-eRNAs) are upregulated in human CRPC cells in vitro, xenografts in vivo and patient tissues. Expression of a subset of genes with elevated AR-eRNAs, including TLE1 and HTR3A, is inversely correlated with biochemical recurrence-free survival of CRPC patients. We identify aan HIV-1 TAR-like (TAR-L) motif in AR-eRNAs of AR target genes including KLK3 (or PSA) and TMPRSS2. The TAR-L motif is important for these eRNAs to bind to CYCLIN T1 of the positive transcription elongation factor b (P-TEFb) complex. Knockdown of PSA eRNA diminishes RNA polymerase II (Pol II) serine-2 (Ser-2) phosphorylation at the PSA promoter. The TAR-L motif in KLK3 eRNA is crucial for effective transcription of PSA mRNA. Together, wWe demonstrate a P-TEFb activation function of eRNA and reveal aberrant eRNA expression as a functional indicator of AR abnormality in CRPC. Our results also suggest that eRNAs as amay be a potential target for CRPC therapy. Total RNA sequencing of two prostate cancer cells. Data were generated by deep sequencing, in diplicate, using Illumina HiSeq 2000.