Bayleyegn2016 - interactions of CycE/Cdk2, Cdc25A, and P27 Kip1 in a core cancer subnetwork
Ontology highlight
ABSTRACT:
SUBMITTER: 
Krishna Kumar Tiwari
PROVIDER: MODEL2003180002 | BioModels | 2020-03-18
REPOSITORIES: BioModels
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| MODEL2003180002?filename=Bayleyegn2016.cps | Other | |||
| MODEL2003180002?filename=Bayleyegn2016.sedml | Other | |||
| MODEL2003180002?filename=Bayleyegn2016.xml | Xml |
Items per page: 5 1 - 3 of 3 |
Similar Datasets
Project description:A quantitative model of the initiation of DNA replication in Saccharomyces cerevisiae predicts the effects of system perturbations. Model is encoded by Matthew Maire and submitted in BioModels by Krishna Kumar Tiwari.
2020-05-06 | MODEL2003180001 | BioModels
Project description:mathematical approach to model the protein interactions regulating the transition from the G1 phase to the phase of DNA synthesis. Model is encoded by matthieu Maire and submitted to BioModels by krishna kumar tiwari.
2020-03-19 | MODEL2003180003 | BioModels
Project description:Mathematical model of the fission yeast cell cycle with checkpoint
controls at the G1/S, G2/M and metaphase/anaphase transitions. Model encoded by Matthieu Maire and submitted to BioModels by Krishna kumar Tiwari.
2020-03-19 | MODEL2003190004 | BioModels
Project description:model allows us to infer proliferation rates and cell cycle phase durations from complex experimental 5-ethynyl-2'-deoxyuridine (EdU) data, revealing T cell proliferation heterogeneity and specific signatures. Model is encoded by Matthew Maire and submitted in BioModels by Krishna Kumar Tiwari.
2020-03-17 | MODEL2003170002 | BioModels
Project description:mathematical model, with accompanying quantitative experimental data, for binding and trafficking properties of the epidermal growth factor (EGF) receptor on B82 fibroblasts, and propose a theoretical dependence of cell proliferation rate on these properties. Model encoded by Matthieu Maire adn submitted to BioModels by Krishna Kumar Tiwari.
2020-03-19 | MODEL2003190005 | BioModels
Project description:Its a mathematical model reflecting chemotherapy response in tumor immune interaction system. Model encoded by Sarubini Kananathan and annotated+submitted to Biomodels by Krishna Tiwari
2024-09-02 | BIOMD0000000930 | BioModels
Project description:Two genes have a synthetic lethal relationship when silencing or inhibition of one gene is only lethal in the context of a mutation or activation of the second gene. This situation offers an attractive therapeutic strategy, as inhibition of such a gene will only trigger cell death in tumor cells with an activated second oncogene but spare normal cells without activation of the second oncogene. Here we present evidence that CDK2 is synthetic lethal to neuroblastoma cells with MYCN amplification and overexpression. Neuroblastomas are childhood tumors with an often lethal outcome. Twenty percent of the tumors have MYCN amplification and these tumors are ultimately refractory to any therapy. Targeted silencing of CDK2 by three RNA interference techniques induced apoptosis in MYCN-amplified neuroblastoma cell lines, but not in MYCN single copy cells. Silencing of MYCN abrogated this apoptotic response in MYCN-amplified cells. Inversely, silencing of CDK2 in MYCN single copy cells did not trigger apoptosis, unless a MYCN transgene was activated. The MYCN induced apoptosis after CDK2 silencing was accompanied by nuclear stabilization of P53 and mRNA profiling showed up-regulation of P53 target genes. Silencing of P53 rescued the cells from MYCN-driven apoptosis. The synthetic lethality of CDK2 silencing in MYCN activated neuroblastoma cells can also be triggered by inhibition of CDK2 with a small molecule drug. Treatment of neuroblastoma cells with Roscovitine, a CDK inhibitor, at clinically achievable concentrations induced MYCN-dependent apoptosis. The synthetic lethal relation between CDK2 and MYCN indicates CDK2 inhibitors as potential MYCN-selective cancer therapeutics. CDK2 shRNA in a tet repressor system was stably transfected in the IMR32 cell line. Time course analysis was performed in triplicate after induction of CDK2 shRNA at 5 time points.
2014-05-19 | E-GEOD-16480 | biostudies-arrayexpress
Project description:Purpose: Core 3 derived glycans, a major type of O-glycan expressed by normal epithelial cells of the gastrointestinal tract, are downregulated during malignancy, because of loss of expression of functional β3-N-acetylglucosaminyltransferase-6 (core 3 synthase). We investigated the expression of core 3 synthase in normal pancreas and pancreatic cancer and evaluated the biological effects of re-expressing core 3 synthase in pancreatic cancer cells that had lost expression. Experimental Design: We determined that pancreatic tumors and tumor cell lines have lost expression of core 3 synthase. We therefore re-expressed in human pancreatic cancer cells (Capan-2 and FG) to investigate the contribution of core 3 glycans to malignant progression. Results: Pancreatic cancer cells expressing core 3 synthase showed reduced in vitro cell proliferation, migration and invasion compared with vector control cells. Expression of core 3 O-glycans induced altered expression of β1 integrin, decreased activation of focal adhesion kinase, led to the down regulation of expression of several genes including REG1α and FGFR3, and altered lamellipodia formation. The addition of a GlcNAc residue by core 3 synthase leads to the extension of the tumor associated Tn structure on MUC1. Orthotopic injection of FG cells expressing core 3 synthase into the pancreas of nude mice produced significantly smaller tumors and decreased metastasis to the surrounding tissues compared to vector control FG cells. Conclusions: These findings indicate that expression of core 3 derived O-glycans in pancreatic cancer cells suppresses tumor growth and metastasis through modulation of glycosylation of mucins and other cell surface and extracellular matrix proteins. Two-condition experiment, Core 3 synthase stable expression (C3) vs. vector control (PLVX) cells. Biological replicates: 3 Core 3 synthase stable expression, 3 vector control, independently grown and harvested. One replicate per array.
2012-11-21 | E-GEOD-42417 | biostudies-arrayexpress
Project description:The Estrogen Receptor alpha (ERa) is the key transcriptional regulator in luminal breast cancer and the main target for adjuvant treatment. Luminal gene signatures are dictated by the transcriptional capacities of ERa, which are a direct consequence of the receptors binding preference at specific sites on the chromatin. The identification of ERa binding signatures on a genome-wide level has greatly enhanced our understanding of Estrogen Receptor biology in cell lines, but the technique has its limitations with respect its applicability in limit amounts of tumor tissue. Here, we present a refinement of the ChIP-seq procedures to enable transcription factor mapping on limited amounts of tissue culture cells and illustrate the applicability of this refined technology by mapping the ERa genome-wide chromatin binding landscape in core needle biopsy material from primary breast tumors.
2013-04-01 | E-MTAB-1534 | biostudies-arrayexpress
Project description:BACKGROUND: The MYC oncogene contributes to induction and growth of many cancers but the full spectrum of the MYC transcriptional response remains unclear. METHODOLOGY/PRINCIPAL FINDINGS: Using microarrays, we conducted a detailed kinetic study of genes that respond to MYCN or MYCNDeltaMBII induction in primary human fibroblasts. In parallel, we determined the response to steady state overexpression of MYCN and MYCNDeltaMBII in the same cell type. An overlapping set of 398 genes from the two protocols was designated a 'Core MYC Signature' and used for further analysis. Comparison of the Core MYC Signature to a published study of the genes induced by serum stimulation revealed that only 7.4% of the Core MYC Signature genes are in the Core Serum Response and display similar expression changes to both MYC and serum. Furthermore, more than 50% of the Core MYC Signature genes were not influenced by serum stimulation. In contrast, comparison to a panel of breast cancers revealed a strong concordance in gene expression between the Core MYC Signature and the basal-like breast tumor subtype, which is a subtype with poor prognosis. This concordance was supported by the higher average level of MYC expression in the same tumor samples. CONCLUSIONS/SIGNIFICANCE: The Core MYC Signature has clinical relevance as this profile can be used to deduce an underlying genetic program that is likely to contribute to a clinical phenotype. Therefore, the presence of the Core MYC Signature may predict clinical responsiveness to therapeutics that are designed to disrupt MYC-mediated phenotypes. reference X sample
2010-06-23 | E-GEOD-15523 | biostudies-arrayexpress