Ethanol inhibits the proliferation of neural stem cells in the fetal, adolescent, and adult brain. The consequences are cognitive deficits associated with fetal alcohol spectrum disorder and alcohol use disorder. We tested the hypothesis that ethanol affects progression through cell cycle checkpoints by differentially modifying transcriptional processes. Monolayer cultures of NS-5 neural stem cells were treated for 48 hr with the mitogenic agent FGF2 or the anti-mitogenic TGF1 in the absence or presence of ethanol. Cell cycle elongation was induced by a global down-regulation of genes involved in cell cycle progression, including the cyclin E system. Checkpoint regulation occurred downstream of p21 and Jun-oncogene signaling cascades. Thus, ethanol can affect cell cycle progression by altering transcript expression of strategic genes downstream of the G1/S checkpoint.
Ethanol-induced methylation of cell cycle genes in neural stem cells.
Specimen part, Treatment
View SamplesMedroxyprogesterone acetate (MPA) is a progestin that can bind to and activate progesterone, androgen and glucocorticoid receptors. However, it is not known which receptor mediates MPA action in a cellular context where all three of these receptors are co-expressed and functional.
Anti-proliferative transcriptional effects of medroxyprogesterone acetate in estrogen receptor positive breast cancer cells are predominantly mediated by the progesterone receptor.
Cell line, Treatment
View SamplesHCT116 cells were transfected with two different siRNA's targeting either DDX5, an siRNA targeting EBNA1, or no siRNA (mock). The siRNA targeting EBNA1 is used as a negative control since HCT116 cells do not have the EBNA1 gene. RNA was obtained from cultures at 24hrs post-siRNA transfection using the Qiagen RNeasy Minikit (cat. # 74104) with on-column DNase digestion performed as per the manufacturer's protocol. The RNA samples were isolated at 24hrs post-siRNA transfection since this timepoint precedes an impaired G1-to-S phase cell cycle progression phenotype that is evident at 48hrs post-siRNA transfection and so may reveal gene expression changes occuring before this effect on cell cycle. RNA samples were submitted to the Cold Spring Harbor Laboratory Microarray Faciity where cDNA was prepared, labeled, and hybridized to Affymetrix GeneChip Human Gene 1.0 ST microarrays. Data from the arrays were processed using the RMA method with an up-to-data probe set definition (Biostatistics 4:249-264 and Nucleic Acids Research 33(20):e175. Gene set analysis was performed using generally applicable gene set enrichment (BMC Bioinformatics 10:161). The most differentially regulated gene ontology groups were selected with FDR q-value < 0.1.
DDX5 regulates DNA replication and is required for cell proliferation in a subset of breast cancer cells.
Cell line
View SamplesTissue samples were collected from patients diagnosed with HNSCC (oropharynx, hypopharynx, larynx). Samples were taken from the tumor site (tumor samples) and from a site distant to the tumor (normal samples) prior to therapy.
Prognostic biomarkers for HNSCC using quantitative real-time PCR and microarray analysis: β-tubulin isotypes and the p53 interactome.
Age, Specimen part, Subject
View SamplesWe identified 4,356 genes with expression differences associated with a high-fat diet, with 184 genes exhibiting a sex-by-diet interaction. Dietary fat dysregulated several pathways, such as cytokine-cytokine receptor interaction, chemokine signaling, and oxidative phosphorylation. Grant: Funding source: American Heart Association Grant number: 16PRE26420105 Title: The effect of maternal over-nutrition on obesity, epigenetics, and gene expression Awarded to Madeline Keleher Overall design: We performed RNA-seq in 21 total libraries, each with two mice of the same sex and diet pooled together (There were 6 low-fat-fed female libraries, 5 libraries of high-fat-fed females, 5 libraries of low-fat-fed males, and 5 libraries of high-fat-fed males). A 1x50 single read sequencing run was done on an Illumina HiSeq 2500 machine (Illumina Inc.)
A high-fat diet alters genome-wide DNA methylation and gene expression in SM/J mice.
Sex, Specimen part, Cell line, Subject
View SamplesIn the cancer stem cell model a cell hierarchy has been suggested as an explanation for intratumoral heterogeneity, and tumor formation is thought to be driven by this tumor cell subpopulation. The identification of cancer stem cells in osteosarcoma (OS) and the biological processes dysregulated in this cell subpopulation, also known as tumor-initiating cells (TICs), may provide new therapeutic targets. The goal of this study, therefore, was to identify and characterize the gene expression profiles of TICs isolated from human OS cell lines. We analyzed the self-renewal capacity of OS cell lines and primary OS tumors based upon their ability to form sphere-like structures (sarcospheres) under serum-starving conditions. TICs were identify from OS cell lines using the long-term label retention dye PKH26. OS TICs and the bulk of tumor cells were isolated and used to assess their ability to initiate tumor in NOD/SCID mice. Gene expression profiles of OS TICs were obtained from fresh orthotopic tumor samples. We observed that increased sarcosphere efficiency correlated with an enhanced tumorigenic potential in OS. PKH26High cells were shown to constitute OS TICs based upon their capacity to form more sarcospheres, as well as to generate both primary bone tumors and lung metastases efficiently in NOD/SCID mice. Genomic profiling of OS TICs revealed that both bone development and cell migration processes were dysregulated in this tumor cell subpopulation. PKH26 labeling represents a valuable tool to identify OS TICs and gene expression analysis of this tumor cell compartment evidences potential therapeutic targets.
Identification and gene expression profiling of tumor-initiating cells isolated from human osteosarcoma cell lines in an orthotopic mouse model.
Specimen part
View SamplesThe synthetic cost of cycling genes is higher than other genes, and the cyclic expression pattern of these genes is a strategy for reducing the overall energy usage of cells Overall design: Samples for both conditions were taken over two metabolic cycles. For the fast cycling condition one sample was taken every 13 minutes for ~4.25 hours. For the slow cycling condition, samples were taken every 36 minutes for ~14.5 hours. Cycling genes were identified using JTK_Cycle (Hughes et al. (2010) Journal of Biological Rhythms).
Cycling Transcriptional Networks Optimize Energy Utilization on a Genome Scale.
Cell line, Subject
View SamplesCancer stem cells (CSCs) are plastic in nature, a characteristic that hampers cancer therapeutics. Neuroblastoma (NB) is a pediatric tumor of neural crest origin, and half of the cases are highly aggressive. By treating NB cell lines (SKNAS, SKNBE(2)C, CHP134, SY5Y) with epigenetic modifiers for a short time followed by sphere-forming culture conditions, we have established stem cell-like NB cells that are phenotypically stable for over a year. These cells are characterized by their high expression of stemness factors, stem cell markers, and open chromatin structure. We referred to these cells as induced CSC (iCSC). SKNAS iCSC and SKNBE(2)C iCSC clones (as few as 100 cells) injected subcutaneously into SCID/Beige mice formed tumors, and in one case, SKNBE(2)C iCSC metastasized to the adrenal gland, suggesting their increased metastatic potential. SKNAS iCSC xenografts showed the histologic appearance of totally undifferentiated large-cell NBs (LCNs), the most aggressive and deadly form of NB in humans. Immunohistochemical analyses showed that SKNAS iCSC xenografts expressed high levels of the stem cell marker CXCR4, while the SKNAS monolayer cell xenografts did not. The patterns of CXCR4 and MYC expression in SKNAS iCSC xenografts resembled those in the LCNs. The xenografts established from the NB iCSCs shared two common features: the LCN phenotype and high-level MYC/MYCN expression. These observations suggest that NB cells with large and vesicular nuclei, representing their open chromatin structure, are indicative of stem cell-like tumor cells, and that epigenetic changes may have contributed to the development of these most malignant NB cells.
Transient treatment with epigenetic modifiers yields stable neuroblastoma stem cells resembling aggressive large-cell neuroblastomas.
No sample metadata fields
View SamplesOne of sleep's putative functions is mediation of adaptation to waking experiences. Chronic stress is a common waking experience, however, which specific aspect of sleep is most responsive, and how sleep changes relate to behavioral disturbances and molecular correlates remain unknown. We quantified sleep, physical, endocrine, and behavioral variables, as well as the brain and blood transcriptome in mice exposed to 9 weeks of unpredictable chronic mild stress (UCMS). Comparing 46 phenotypical variables revealed that rapid-eye-movement sleep (REMS), corticosterone regulation, and coat state were most responsive to UCMS. REMS theta oscillations were enhanced, whereas delta oscillations in non-REMS were unaffected. Transcripts affected by UCMS in the prefrontal cortex, hippocampus, hypothalamus, and blood were associated with inflammatory and immune responses. A machine-learning approach controlling for unspecific UCMS effects identified transcriptomic predictor sets for REMS parameters that were enriched in 193 pathways, including some involved in stem cells, immune response, apoptosis, and survival. Only three pathways were enriched in predictor sets for non-REMS. Transcriptomic predictor sets for variation in REMS continuity and theta activity shared many pathways with corticosterone regulation, in particular pathways implicated in apoptosis and survival, including mitochondrial apoptotic machinery. Predictor sets for REMS, and anhedonia shared pathways involved in oxidative stress, cell proliferation, and apoptosis. These data identify REMS as a core and early element of the response to chronic stress, and identify apoptosis and survival pathways as a putative mechanism by which REMS may mediate the response to stressful waking experiences. Overall design: Study of transcriptomic changes in three stress- and sleep-related brain regions (prefrontal cortex, hippocampus, hypothalamus) and blood following 9 weeks of Unpredictable Chronic Mild Stress (UCMS) in mice.
REM sleep's unique associations with corticosterone regulation, apoptotic pathways, and behavior in chronic stress in mice.
Sex, Age, Specimen part, Cell line, Subject
View SamplesLangerhans-cell histiocytosis (LCH) is characterized by heterogeneous lesions containing CD207+ Langerhans cells (LCs) and lymphocytes. In this study, we isolated CD207+ cells and CD3+ T cells from LCH lesions to determine cell-specific gene expression. Compared to control epidermal CD207+ cells, the LCH CD207+ cells yielded 2113 differentially-expressed genes (FDR<0.01). Surprisingly, expression of many genes previously associated with LCH, including cell-cycle regulators, pro-inflammatory cytokines and chemokines were not significantly different from control LCs in our study. However, several novel genes whose products activate and recruit T cells to sites of inflammation, including SPP1 (osteopontin), were highly over-expressed in LCH CD207+ cells. Furthermore, several genes associated with immature myeloid dendritic cells were over-expressed in LCH CD207+ cells. Compared to the peripheral CD3+ cells from LCH patients, the LCH lesion CD3+ cells yielded only 162 differentially-regulated genes (FDR<0.01), and the expression profile of the LCH lesion CD3+ cells was consistent with an activated regulatory T cell phenotype with increased expression of FOXP3, CTLA4 as well as SPP1. Based on these results, we propose a new model of LCH pathogenesis in which lesions do not arise from epidermal Langerhans cells, but from accumulation of bone-marrow derived immature myeloid dendritic cells that recruit activated lymphocytes.
Cell-specific gene expression in Langerhans cell histiocytosis lesions reveals a distinct profile compared with epidermal Langerhans cells.
Specimen part
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