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1.
Epigenetics ; 6(3): 284-92, 2011 Mar.
Article in English | MEDLINE | ID: mdl-21116130

ABSTRACT

Epigenetic inactivation of tumor suppressor genes is a hallmark of cancer development. RASSF1A (Ras Association Domain Family 1 isoform A) tumor suppressor gene is one of the most frequently epigenetically inactivated genes in a wide range of adult and children's cancers and could be a useful molecular marker for cancer diagnosis and prognosis. RASSF1A has been shown to play a role in several biological pathways, including cell cycle control, apoptosis and microtubule dynamics. RASSF2, RASSF4, RASSF5 and RASSF6 are also epigenetically inactivated in cancer but have not been analysed in as wide a range of malignancies as RASSF1A. Recently four new members of the RASSF family were identified these are termed N-Terminal RASSF genes (RASSF7-RASSF10). Molecular and biological analysis of these newer members has just begun. This review highlights what we currently know in respects to structural, functional and molecular properties of the N-Terminal RASSFs.


Subject(s)
Tumor Suppressor Proteins/physiology , Animals , Apoptosis , Cell Cycle , DNA Methylation , Epigenesis, Genetic , Humans , Models, Biological , Monomeric GTP-Binding Proteins/genetics , Monomeric GTP-Binding Proteins/metabolism , Neoplasms/genetics , Tumor Suppressor Proteins/chemistry , Tumor Suppressor Proteins/genetics
2.
BMC Syst Biol ; 3: 40, 2009 Apr 15.
Article in English | MEDLINE | ID: mdl-19368721

ABSTRACT

BACKGROUND: Appropriately formulated quantitative computational models can support researchers in understanding the dynamic behaviour of biological pathways and support hypothesis formulation and selection by "in silico" experimentation. An obstacle to widespread adoption of this approach is the requirement to formulate a biological pathway as machine executable computer code. We have recently proposed a novel, biologically intuitive, narrative-style modelling language for biologists to formulate the pathway which is then automatically translated into an executable format and is, thus, usable for analysis via existing simulation techniques. RESULTS: Here we use a high-level narrative language in designing a computational model of the gp130/JAK/STAT signalling pathway and show that the model reproduces the dynamic behaviour of the pathway derived by biological observation. We then "experiment" on the model by simulation and sensitivity analysis to define those parameters which dominate the dynamic behaviour of the pathway. The model predicts that nuclear compartmentalisation and phosphorylation status of STAT are key determinants of the pathway and that alternative mechanisms of signal attenuation exert their influence on different timescales. CONCLUSION: The described narrative model of the gp130/JAK/STAT pathway represents an interesting case study showing how, by using this approach, researchers can model biological systems without explicitly dealing with formal notations and mathematical expressions (typically used for biochemical modelling), nevertheless being able to obtain simulation and analysis results. We present the model and the sensitivity analysis results we have obtained, that allow us to identify the parameters which are most sensitive to perturbations. The results, which are shown to be in agreement with existing mathematical models of the gp130/JAK/STAT pathway, serve us as a form of validation of the model and of the approach itself.


Subject(s)
Computer Simulation , Glycoproteins/metabolism , Janus Kinases/metabolism , Models, Biological , Programming Languages , STAT Transcription Factors/metabolism , Signal Transduction , Algorithms , Cell Line, Tumor , Cell Nucleus/metabolism , Computational Biology , Humans , Phosphorylation , Protein Transport , Reproducibility of Results , Stochastic Processes
3.
Cancer Res ; 66(22): 10891-901, 2006 Nov 15.
Article in English | MEDLINE | ID: mdl-17108126

ABSTRACT

The interleukin-6 cytokine oncostatin M (OSM) induces potent growth-inhibitory and morphogenic responses in several different tumor cell types, highlighting the importance of OSM signaling mechanisms as targets for therapeutic intervention. The specific molecular pathways involved are not well understood, as OSM can signal through two separate heterodimeric receptor complexes, glycoprotein 130 (gp130)/leukemia inhibitory factor receptor (LIFR) alpha and gp130/OSM receptor beta (OSMRbeta). In this investigation, we used a LIFR antagonist to help resolve signaling responses and identify patterns of gene expression elicited by the different receptor complexes. OSM-induced biological effects on breast tumor-derived cell lines were specifically mediated through the gp130/OSMRbeta complex. Each cytokine tested exhibited differential signaling capability and manifested both shared and unique patterns of gene activation, emphasizing compositional differences in activator protein-1 transcription factor activity and expression. In particular, OSM strongly activated the c-Jun NH(2)-terminal kinase (JNK) serine/threonine kinase and downstream components, including activating transcription factor (ATF)/cyclic AMP-responsive element binding protein family member, ATF3. JNK/stress-activated protein kinase kinase inhibition abrogated cell morphogenesis induced by OSM, indicating an important role for this pathway in OSM specificity. These findings identify a core signaling/transcriptional mechanism specific to the OSMRbeta in breast tumor cells.


Subject(s)
Breast Neoplasms/pathology , Leukemia Inhibitory Factor Receptor alpha Subunit/antagonists & inhibitors , Oncostatin M Receptor beta Subunit/metabolism , Oncostatin M/pharmacology , Receptors, OSM-LIF/antagonists & inhibitors , Breast Neoplasms/drug therapy , Breast Neoplasms/genetics , Breast Neoplasms/metabolism , Cell Line, Tumor , Drug Interactions , Enzyme Activation/drug effects , Gene Expression Regulation, Neoplastic/drug effects , Humans , Interleukin-6/pharmacology , Leukemia Inhibitory Factor Receptor alpha Subunit/metabolism , Mitogen-Activated Protein Kinases/antagonists & inhibitors , Mitogen-Activated Protein Kinases/metabolism , Oncostatin M Receptor beta Subunit/antagonists & inhibitors , Receptors, OSM-LIF/metabolism , STAT Transcription Factors/metabolism , Transcriptional Activation
4.
Endocrinology ; 144(8): 3406-14, 2003 Aug.
Article in English | MEDLINE | ID: mdl-12865319

ABSTRACT

IL-11 is a member of the gp130 family of cytokines, which signal via assembly of multisubunit receptor complexes containing at least one molecule of the transmembrane signaling receptor gp130. IL-11 forms a high-affinity complex, thereby inducing gp130-dependent signaling. Previous studies have identified three distinct receptor binding sites, I, II, and III, crucial for the binding of murine IL-11 (mIL-11) to both the IL-11R and gp130. In this study, we have further characterized the role of the mIL-11 site III mutant W147A. We show that W147A is a high-affinity specific antagonist of mIL-11-mediated signaling in gp130/IL-11R-transfected Ba/F3 cells. The antagonistic action of W147A is due to its ability to competitively disrupt multimeric gp130/IL-11R signaling complex formation. We also show that W147A inhibits IL-11-mediated signaling in primary human endometrial cells, thus demonstrating the potential utility of W147A in suppressing IL-11 responses in vivo.


Subject(s)
Interleukin-11/metabolism , Receptors, Interleukin/genetics , Animals , Antigens, CD/genetics , Antigens, CD/metabolism , Binding Sites/genetics , Cell Line , Cells, Cultured , Cytokine Receptor gp130 , DNA-Binding Proteins/metabolism , Endometrium/metabolism , Female , Gene Expression , Humans , Interleukin-11/pharmacology , Interleukin-11 Receptor alpha Subunit , Membrane Glycoproteins/genetics , Membrane Glycoproteins/metabolism , Mice , Mutation , Phosphorylation , Phosphotyrosine/metabolism , Receptors, Interleukin/physiology , Receptors, Interleukin-11 , STAT3 Transcription Factor , Signal Transduction , Trans-Activators/metabolism , Transfection
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