Identification of an NKX3.1-G9a-UTY regulatory network that controls prostate differentiation (Mouse_Recomb_RNA-Seq)
Ontology highlight
ABSTRACT: Analysis of transcriptome of tissue recombinants (mouse seminal vesicle epithelial [SVE] cells or prostate epithelial [PE] cells, and rat urogenital sinus [UGS] mesenchymal cells) grown under the kidney capsule in athymic nude mice for 3 months. Total RNA obtained from tissue recombinants generated from combining engineered mouse epithelial cells (SVE or PE from 2-month-old C57Bl/6J mice) and rat UGS mesenchymal cells. Tissue recombinants were harvested and processed for RNA isolation and transcriptome analysis using the RNeasy kit (Qiagen).
Project description:Analysis of transcriptome of prostate tissue from 4-month-old Nkx3.1 +/+ and Nkx3.1 -/- mice. Total RNA obtained from prostate tissues from 4-month-old Nkx3.1 +/+ and Nkx3.1 -/- mice. Prostate tissues were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion).
Project description:Analysis of transcriptome of human RWPE1 cells over-expressing wild type NKX3.1 and mutant NKX3.1 (T164A). Total RNA obtained from RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression. Engineered RWPE1 cells were harvested and processed for RNA isolation and transcriptome analysis using the MagMAX RNA isolation kit (Ambion).
Project description:To investigate the role of NKX3.1 in prostate differentiation, we employed transcriptome analysis of mouse seminal vesicle (from 15-month-old Nkx3.1+/+ mice); mouse prostate (from 4-month-old Nkx3.1+/+ and Nkx3.1-/- mice); human prostate cells (RWPE1 cells engineered with empty vector (altered pTRIPZ), NKX3.1 wild type over-expression, and NKX3.1 (T164A) mutant over-expression); and tissue recombinants (generated from combining engineered mouse epithelial cells (seminal vesicle epithelial cells or prostate epithelial cells from 2-month-old mice) and rat UGS mesenchymal cells). Mouse tissue or human cells were snap frozen for subsequent molecular analysis. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
Project description:Analysis of transcriptome of tissue recombinants (mouse seminal vesicle epithelial [SVE] cells or prostate epithelial [PE] cells, and rat urogenital sinus [UGS] mesenchymal cells) grown under the kidney capsule in athymic nude mice for 3 months.
Project description:Regulation of cell-cell junction formation and regulation of cell migration were enriched among EMT (Epithelial-Mesenchymal Transition)-associated alternatively splicing events. Our analysis suggested that most EMT-associated alternative splicing events are regulated by one or more members of the RBFOX, MBNL, CELF, hnRNP or ESRP classes of splicing factors. The EMT alternative splicing signature was confirmed in human breast cancer cell lines, which could be classified into basal and luminal subtypes based exclusively on their EMTassociated splicing pattern. Expression of EMT-associated alternative mRNA transcripts was also observed in primary breast cancer samples, indicating that EMT-dependent splicing changes occur commonly in human tumors. The functional significance of EMT-associated alternative splicing was tested by expression of the epithelial-specific splicing factor ESRP1 or depletion of RBFOX2 in mesenchymal cells, both of which elicited significant changes in cell morphology and motility towards an epithelial phenotype, suggesting that splicing regulation alone can drive critical aspects of EMT-associated phenotypic changes. The molecular description obtained here may aid in the development of new diagnostic and prognostic markers for analysis of breast cancer progression. Examination of transcriptomes of HMLE/Twist-ER before and after induction of EMT by tamoxifen
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:We confirmed immune response as the key mechanism and provided solid evidence for novel genes (e.g., FCAR and CUX1) and distinct biological processes (e.g., endocytosis, cytokine production and apoptosis) as potentially new important factors/mechanisms contributing to chronic periodontitis pathogenesis. We performed an RNA-sequencing (RNA-seq) study of peripheral blood monocytes (PBMs) in 5 non-smoking moderate to severe CP (case) subjects vs. 5 controls. We replicated the DEx transcripts/isoforms using an independent microarray dataset. We also pathway-based analysis on the identified/replicated DEx transcripts/isoforms using DAVID performed (Database for Annotation, Visualization and Integrated Discovery).
Project description:To understand tumorigenesis and cancer progression of mammary epithelium, we established a cell model combining over-expression of human telomerase reverse transcriptase gene (hTERT) and heavy-ion radiation from normal human mammary epithelial cells. We subsequently used RNA-seq method to acquire their transcriptomes from two characteristic cell lines, an immortal epithelial cell line (I_hMEC) and a tumorigenic epithelial cell line (T_hMEC), and to look for differentially expressed genes (DEGs) between immortalization and tumorigenicity. We identified 7,053 DEGs, of which 84 were not only highly expressed but also significantly regulated. We found that house-keeping (HK) genes and tissue-specific (TS) genes were regulated differently during tumorigenesis; HK genes tend to be activated but TS genes tend to be repressed. We looked into three important pathways in cancer development: p53 signaling, cell cycle, and apoptosis. Although both immortal and tumorigenic cells have infinite potential to replicate and can escape apoptosis, a great number of genes exhibited different modulation pattern between the two processes. We also found that a significant number of DEGs were involved in epigenetic modification of chromatins. In conclusion, these findings may provide novel biomarkers in studying tumorigenicity and further our understanding of cellular mechanism(s) in the transition from immortal to tumorigenic processes. 2 samples examined: immortalized human mammary epithelial cell (I_hMEC) and tumorigenic human mammary epithelial cell (T_hMEC)
Project description:Lineage-specific stem cells are critical for the production and maintenance of specific cell types and tissues in multicellular organisms. In higher plants, the initiation and proliferation of stomatal stem cells is controlled by the basic helix-loop-helix transcription factor SPEECHLESS (SPCH). The stomatal stem cells and SPCH, which represent an innovation in seed plants, allow flexibility in the production of stomata, but how SPCH generates these stem cells is unclear. Here, we developed a highly sensitive chromatin immunoprecipitation (ChIP) assay and profiled the cell-type specific genome-wide targets of Arabidopsis SPCH in vivo. We found that SPCH directly controls key and novel regulators that drive cell fate and asymmetric cell divisions and enhances responsiveness to cell-cell communication. Our results provide molecular insights on how a master transcription factor generates an adult stem cell lineage that contributes to the success of land plants. RNA-Seq profiles of inducible SPCH and wild-type upon induction
Project description:Nonsense-mediated mRNA decay (NMD) surveillance pathways are best known to be involved in the degradation of mRNA with premature termination codons (PTCs). More recent studies demonstrate that the role of NMD pathways goes well beyond the degradation of PTC containing mRNA, into the regulation of cell function and thus normal development. We have taken advantage of the availability of naturally occurring loss of function mutations in the UPF3B gene, a major component of the exon junction complex (EJC), to inquire about genome-wide consequences of compromised NMD. We identify that about 5% of the lymphoblastoid cell transcriptome is directly or indirectly impacted upon in patients with UPF3B mutations with minimal effect on alternative splicing. We identify UPF3A-NMD as a likely, major modifier of the UPF3B patient phenotype through variable UPF3A protein stabilisation. Among the most consistently deregulated direct targets of UPF3B-NMD we identify the ARHGAP24 as the most likely gene implicated in the neuronal phenotype of UPF3B patients. To assess the impact of UPF3B-NMD deficiency on human transcriptome, we sequenced polyA RNA extracted from lymphoblastoid cell lines of patients (n=4) and controls (n=2). We complemented the analysis using Affymetrix Human Exon 1.0 St array using total RNA of the same cell line from patients (n=5, 3 of whom were also sequenced) and controls (n=5). Moreover, we overlapped identified differently expressed genes with copy number variation data of the patients, obtained using Illumina Human Omniexpress chip, to exclude possible false positive. Supplementary file: A splice junction reference file generated for alignment of junction reads. Alignment files linked to individual Sample records.