P53 In Inflamatory Stress Response
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE3176 | GEO | 2005/12/01
SECONDARY ACCESSION(S): PRJNA92721
REPOSITORIES: GEO
Similar Datasets
Project description:Activation of the p53 network plays a central role in the inflammatory stress response associated with ulcerative colitis, and may modulate cancer risk in patients afflicted with this chronic disease. The overall goal of these experiments is to study the gene expression profiles associated with four microenvironmental components of the inflammatory response (NO*, DNA damage, DNA replication arrest, and hypoxia) that result in p53 stabilization and activation. To this end, isogenic HCT116 and HCT116 TP53-/- colon cancer cells were exposed to the NO*-donor Sper/NO, H2O2 (DNA damage), hypoxia, or hydroxyurea (HU, DNA replication arrest), and their mRNA was analyzed using oligonucleotide microarrays. Cy3-labeled reference probes (untreated) and Cy5-labeled probes (samples exposed for the indicated times) were hybridized to 70-mer oligonucleotide microarrays with 21,329 probes (Qiagen Human Array-Ready Oligo Set, Version 2.0). The arrays were printed by the Advanced Technology Center at the National Cancer Institute. At least two hybridizations (range 2-5) were performed for each sample.
2005-11-30 | E-GEOD-3176 | biostudies-arrayexpress
Project description:After DNA damage, cells activate p53, a tumor suppressor gene, and select a cell fate (e.g., DNA repair, cell cycle arrest, or apoptosis). Recently, a p53 oscillatory behavior was observed following DNA damage. However, the relationship between this p53 oscillation and cell-fate selection is unclear. Here, we present a novel model of the DNA damage signaling pathway that includes p53 and whole cell cycle regulation and explore the relationship between p53 oscillation and cell fate selection. The simulation run without DNA damage qualitatively realized experimentally observed data from several cell cycle regulators, indicating that our model was biologically appropriate. Moreover, the comprehensive sensitivity analysis for the proposed model was implemented by changing the values of all kinetic parameters, which revealed that the cell cycle regulation system based on the proposed model has robustness on a fluctuation of reaction rate in each process. Simulations run with four different intensities of DNA damage, i.e. Low-damage, Medium-damage, High-damage, and Excess-damage, realized cell cycle arrest in all cases. Low-damage, Medium-damage, High-damage, and Excess-damage corresponded to the DNA damage caused by 100, 200, 400, and 800 J/m(2) doses of UV-irradiation, respectively, based on expression of p21, which plays a crucial role in cell cycle arrest. In simulations run with High-damage and Excess-damage, the length of the cell cycle arrest was shortened despite the severe DNA damage, and p53 began to oscillate. Cells initiated apoptosis and were killed at 400 and 800 J/m(2) doses of UV-irradiation, corresponding to High-damage and Excess-damage, respectively. Therefore, our model indicated that the oscillatory mode of p53 profoundly affects cell fate selection.
2024-09-02 | BIOMD0000000939 | BioModels
Project description:Long noncoding RNAs (lncRNAs) are prevalent genes with frequently exquisite regulation but mostly unknown functions. Here we demonstrate a role of lncRNAs in guiding signal transduction. DNA damage activates transcription of DINO (Damage Induced NOncoding) via p53. DINO knockdown blocks DNA damage-induced gene expression and cell cycle arrest. Conversely, enforced expression of DINO activates damage signaling without DNA damage. DINO binds p53 and selectively promotes SET7 methylation of p53 at lysine 372 over other substrates, which stabilizes p53 in an auto-amplification loop. Our results suggest that inducible lncRNA can achieve catalysis-like effects to rewire cellular signaling networks. RNA was isolated from human fetal lung fibroblasts, HCT116 p53+/+, or HCT116 p53-/- cells treated with doxorubicin or sham for 26 hours. Human fetal lung fibroblasts were transfected with siRNAs targeting DINO or non-targeting control and subsequently treated with doxorubicin for 26 hours.
2012-11-20 | E-GEOD-42368 | biostudies-arrayexpress
Project description:This a model from the article:
Stress-specific response of the p53-Mdm2 feedback loop
Alexander Hunziker, Mogens H Jensen and Sandeep Krishna
BMC Systems Biology 2010, Jul 12;4(1):94
20624280,
Abstract:
ABSTRACT: BACKGROUND: The p53 signalling pathway has hundreds of inputs and outputs. It can trigger cellular senescence, cell-cycle arrest and apoptosis in response to diverse stress conditions, including DNA damage, hypoxia and nutrient deprivation. Signals from all these inputs are channeled through a single node, the transcription factor p53. Yet, the pathway is flexible enough to produce different downstream gene expression patterns in response to different stresses. RESULTS: We construct a mathematical model of the negative feedback loop involving p53 and its inhibitor, Mdm2, at the core of this pathway, and use it to examine the effect of different stresses that trigger p53. In response to DNA damage, hypoxia, etc., the model exhibits a wide variety of specific output behaviour -- steady states with low or high levels of p53 and Mdm2, as well as spiky oscillations with low or high average p53 levels. CONCLUSIONS: We show that even a simple negative feedback loop is capable of exhibiting the kind of flexible stress-specific response observed in the p53 system. Further, our model provides a framework for predicting the differences in p53 response to different stresses and single nucleotide polymorphisms.
The parameters of the model corresponds to the resting state, with delta = 11hr-1, gamma = 0.2hr-1, kt = 0.03nM-1hr-1 and kf = 5000nM-1hr-1.
To simulate different stress conditions as in figure 2A (also look at the curation figure of this model) of the reference publication, the above parameter should be changed. The parameter values corresponding to different stress conditions are shown in the following table.
Stress Condition/Parameter
delta
gamma
kt
kf
Nutlin
11hr-1
0.2hr-1
0.03nM-1hr-1
500nM-1hr-1
Oncogene
2hr-1
0.2hr-1
0.03nM-1hr-1
5000nM-1hr-1
DNA damage
2hr-1
0.5hr-1
0.03nM-1hr-1
2500nM-1hr-1
Hypoxia
2hr-1
0.2hr-1
0.01nM-1hr-1
5000nM-1hr-1
This model originates from BioModels Database: A Database of Annotated Published Models. It is copyright (c) 2005-2011 The BioModels.net Team.For more information see the terms of use.To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2024-09-02 | BIOMD0000000252 | BioModels
Project description:The p53-family of transcription factors share a highly homologous DNA binding domain and have overlapping and distinct biological functions. Using chromatin immunoprecipitation in combination with NimbleGen promoter arrays and a Model-based Algorithm for Promoter arrays (MAP), we performed a direct comparison of the promoter occupancy profiles of p53 and p73 before and after treatment with hydroxyurea (HU). We have found that p53 and p73 bind to common promoters before HU treatment. After HU treatment, we found that p53-bound promoters are likely to also bind p73, but p73 binds to additional promoters that that do not bind p53. Among them, we showed that p73 but not p53 is recruited to the promoter of MLH3, which encodes a mismatch repair protein. The differential effects of HU on the promoter occupancy profiles of p53 and p73 suggest that these related transcription factors have divergent functions in DNA damage response. The main goal of this study is to examine the effect of HU on the promoter occupancy profiles of p53 and p73. One biological sample from HCT116-(6) cells treated with or without Hydroxyurea was subjected to ChIP-chip analysis using a model based algorithm for promoter arrays (MAP).
2009-06-30 | E-GEOD-12224 | biostudies-arrayexpress
Project description:Baltazar D. Aguda. A quantitative analysis of the kinetics of the G(2) DNA damage checkpoint system. Proceedings of the National Academy of Sciences 96, 20 (1999).
A detailed model of the G(2) DNA damage checkpoint (G2DDC) system is presented that includes complex regulatory networks of the mitotic kinase Cdc2, phosphatase Cdc25, Wee1 kinase, and damage signal transduction pathways involving Chk1 and p53. Assumptions on the kinetic equations of the G2DDC are made, and computer simulations are carried out to demonstrate how the various subsystems operate to delay or arrest cell cycle progression. The detailed model could be used to explain various experiments relevant to G2DDC reported recently, including the nuclear export of 14-3-3-bound Cdc25, the down-regulation of cyclin B1 expression by p53, the effect of Chk1 and p53 on Cdc25 levels, and Wee1 degradation. It also is shown that, under certain conditions, p53 is necessary to sustain a G(2) arrest.
2024-09-02 | BIOMD0000000704 | BioModels
Project description:The tumor suppressor p53 plays a critical role in the cellular response to various stresses, including DNA damage, hypoxia, nutrition starvation, and oncogene activation. However, wild-type p53 function was largely impaired in cancer cells, one of the reasons is the inhibition by p53 negative regulating proteins (iASPP, MDM2 etc.). To globally evaluate the transcriptome inhibited by iASPP and the potent synergy of co-inhibiting MDM2, we performed RNAseq analysis in colon cancer cell line HCT116 upon p53 or iASPP knockdown with or without Nutlin-3 treatment.
2022-10-29 | GSE139546 | GEO
Project description:CDK4/6 inhibitors arrest the cell cycle in G1-phase. They are licenced to treat breast cancer and are also undergoing clinical trials against a range of other tumour types. To facilitate these efforts, it is important to understand why a temporary cell cycle arrest in G1 causes long-lasting effects on tumour growth. Here we demonstrate that a prolonged G1-arrest following CDK4/6 inhibition downregulates replisome components and impairs origin licencing. This causes a failure in DNA replication after release from that arrest, resulting in a p53-dependent withdrawal from the cell cycle. If p53 is absent, then cells bypass the G2-checkpoint and undergo a catastrophic mitosis resulting in excessive DNA damage. These data therefore link CDK4/6 inhibition to genotoxic stress; a phenotype that is shared by most other broad-spectrum anti-cancer drugs. This provides a rationale to predict responsive tumour types and effective combination therapies, as demonstrated by the fact that chemotherapeutics that cause replication stress also induce sensitivity to CDK4/6 inhibition.
2021-12-20 | PXD023435 | Pride
Project description:We report the application of high-throughput sequencing to performed the p53 regulated trancriptome in HCT116 colon cancer cells treated with the DNA damage 5FU. To study the direct targets of p53 we performed ChIP-seq to deterrmined the p53 biding sites and associated with the expression levels. With this study we identified the new genomic regions regulated by p53 and with special attention in those regions that are significally expressed by DNA damage and and are non- coding. HCT116 p53 wt cell transfected with the ASO-SC, ASO lncRNA-1 and ASO unassigned-1 for depletion of this new lncRNAs and treated with the DNA damage drug 5FU for 12h were analyzed in the affimetrix platform HTA2.
2014-12-22 | E-GEOD-58409 | biostudies-arrayexpress
Project description:Wig-1 is a p53 target gene that encodes an RNA-binding protein involved in regulation of mRNA stability through binding to AU-rich elements (AREs). The aims of this study were to identify novel Wig-1 target mRNAs and to characterize the mechanisms of their regulation. Using a microarray approach, we identified 2447 transcripts with >4-fold differential expression between Wig-1 siRNA and control siRNA treated HCT116 cells. Among the deregulated transcripts we found a number of p53 target genes. We demonstrated that Wig-1increases 14-3-3M-OM-^C transcription while it binds to an ARE in the FAS 3M-bM-^@M-^YUTR and decreases the FAS mRNA stability. Furthermore, we show that Wig-1 depletion favours cell death rather that cell cycle arrest after DNA damage. We propose a role of Wig-1 in directing the p53 stress response towards cell cycle arrest rather than cell death through regulation of 14-3-3M-OM-^C and FAS mRNA levels. Use HEEBO microarrays to examine the effects of Wig-1 protein knockdown by siRNA silencing in HCT116 cells. 3 microarrays in total.
2014-03-01 | E-GEOD-43046 | biostudies-arrayexpress