Platelets and Anti-Angiogenic Resistance in Ovarian Carcinoma

Background: Resistance to targeted anti-angiogenic therapy is a growing clinical concern given the disappointing clinical impact of anti-angiogenic. Platelets represent a component of the tumor microenvironment that are implicated in metastasis and represent a significant reservoir of angiogenic regulators. Thrombocytosis has been shown to be caused by malignancy and associated with adverse clinical outcomes, however the causal connections between these associations remain to be identified. Materials and Methods: Following IRB approval, patient data were collected on patients from four U.S. centers and platelet levels through and after therapy were considered as indicators of recurrence of disease. In vitro effects of platelets on cancer cell proliferation, apoptosis, and migration were examined. RNA interference was used to query signaling pathways mediating these effects. The necessity of platelet activation for in vitro effect was analyzed. In vivo orthotopic models were used to query the impact of thrombocytosis and thrombocytopenia on the efficacy of cytotoxic chemotherapy, the effect of aspirin on thrombocytosis and cancer, and platelet effect on anti-angiogenic therapy. Results: Platelets were found to increase at the time of diagnosis of ovarian cancer recurrence in a pattern comparable to CA-125. Platelet co-culture increased proliferation, increased migration, and decreased apoptosis in all cell lines tested. RNA interference implicated platelet derived growth factor alpha (PDGFRA) and transforming growth factor beta-receptor 1 (TGFBR1) signaling. Biodistribution studies suggested minimal platelet sequestration of taxanes. Blockade of platelet activation blocked in vitro effects. In vivo, thrombocytosis blocked chemotherapeutic efficacy, thrombocytopenia increased chemotherapeutic efficacy, and aspirin therapy partially blocked the effects of thrombocytosis. In vivo, withdrawal of anti-angiogenic therapy caused loss of therapeutic benefit with evidence of accelerated disease growth. This effect was blocked by use of a small-molecule inhibitor of Focal Adhesion Kinase. Anti-angiogenic therapy was also associated with increased platelet infiltration into tumor that was not seen to the same degree in the control or FAK-inhibitor-treated mice. Conclusions: Platelets are active participants in the growth and metastasis of tumor, both directly and via facilitation of angiogenesis. Blocking platelets, blocking platelet activation, and blocking platelet trafficking into tumor are novel therapeutic avenues supported by this data. Copyright © 2012 Justin Neal Bottsford-Miller, all rights reserved.

Pathway Semantics: An Algebraic Data Driven Algorithm to Generate Hypotheses about Molecular Patterns Underlying Disease Progression

The overarching goal of the Pathway Semantics Algorithm (PSA) is to improve the in silico identification of clinically useful hypotheses about molecular patterns in disease progression. By framing biomedical questions within a variety of matrix representations, PSA has the flexibility to analyze combined quantitative and qualitative data over a wide range of stratifications. The resulting hypothetical answers can then move to in vitro and in vivo verification, research assay optimization, clinical validation, and commercialization. Herein PSA is shown to generate novel hypotheses about the significant biological pathways in two disease domains: shock / trauma and hemophilia A, and validated experimentally in the latter. The PSA matrix algebra approach identified differential molecular patterns in biological networks over time and outcome that would not be easily found through direct assays, literature or database searches. In this dissertation, Chapter 1 provides a broad overview of the background and motivation for the study, followed by Chapter 2 with a literature review of relevant computational methods. Chapters 3 and 4 describe PSA for node and edge analysis respectively, and apply the method to disease progression in shock / trauma. Chapter 5 demonstrates the application of PSA to hemophilia A and the validation with experimental results. The work is summarized in Chapter 6, followed by extensive references and an Appendix with additional material.

Acceleration of the PanIN Development in Mice Expressing Oncogenic K-Ras Due to a High Fat Diet

Obesity is postulated to be one of the major risk factors for pancreatic cancer, and recently it was indicated that an elevated body mass index (BMI correlates strongly with a decrease in patient survival. Despite the evident relationship, the molecular mechanisms involved are unclear. Oncogenic mutation of K-Ras is found early and is universal in pancreatic cancer. Extensive evidence indicates oncogenic K-Ras is not entirely active and it requires a triggering event to surpass the activity of Ras beyond the threshold necessary for a Ras-inflammation feed-forward loop. We hypothesize that high fat intake induces a persistent low level inflammatory response triggering increased K-Ras activity and that Cox-2 is essential for this inflammatory reaction. To determine this, LSL-K-Ras mice were crossed with Ela-CreER (Acinar-specific) or Pdx-1-Cre (Pancreas-specific) to “knock-in” oncogenic K-Ras. Additionally, these animals were crossed with Cox-2 conditional knockout mice to access the importance of Cox-2 in the inflammatory loop present. The mice were fed isocaloric diets containing 60% energy or 10% energy from fat. We found that a high fat diet increased K-Ras activity, PanIN formation, and fibrotic stroma significantly compared to a control diet. Genetic deletion of Cox-2 prevented high fat diet induced fibrosis and PanIN formation in oncogenic K-Ras expressing mice. Additionally, long term consumption of high fat diet, increased the progression of PanIN lesions leading to invasive cancer and decreased overall survival rate. These findings indicate that a high fat diet can stimulate the activation of oncogenic K-Ras and initiate an inflammatory feed forward loop requiring Cox-2 leading to inflammation, fibrosis, and PanINs. This mechanism could explain the relationship between a high fat diet and elevated risk for pancreatic cancer.

Investigation of cell fate decision in Schizosaccharomyces pombe by ncRNA annotation and statistical analyses

Studies in the fission yeast Schizosaccharomyces pombe (S. pombe) have done much to inform the view of heterochromatin and its control by the RNA interference (RNAi) machinery. Using cDNA synthesised from poly(A)-enriched RNA samples, numerous novel ncRNA loci were discovered, and the 50 and 30 ends of many other genes were refined in previous studies. Although some of these transcripts may encode novel proteins the function of the majority is yet to be determined. The authors have used strand-specific deep sequencing of RNA, irrespective of poly(A) status, to reveal a highly structured antisense programme that modulates gene expression to dictate cell fate decisions during sexual differentiation. They show that an extensive and elaborate array of ncRNA production accompanies sexual differentiation in the fission yeast S. pombe. Experimental manipulation suggests that these transcripts specifically regulate the function of the target genes.

Percentage of cultured cell-populations that stained positively and/or negatively for apoptotic markers cleaved caspase-3 and cleaved PARP, following DNA damage treatments induced by doxorubicin and TNF-alpha co-treatments

The present dataset contains the source data for Figure 2B of Tentner et al. (2012). The data shows the percentage of cultured cell-populations that stained positively and/or negatively for apoptotic markers cleaved caspase-3 and cleaved PARP, following DNA damage treatments induced by various doses of doxorubicin (0, 2 and 10 µmole/L) in the presence (100 ng/mL) or absence (0 ng/mL) of TNF-alpha co-treatment. For the six treatment conditions investigated, cell counts were made by flow cytometry at times 6, 12, 24, and 48 h following treatment; CULTURE DETAILS: U2OS cells were obtained from ATCC were maintained at 21% oxygen and 5% CO2 in Dulbecco's modified Eagle medium supplemented with 10% fetal bovine serum, penicillin, streptomycin, 2mM L-glutamine, and used within 15-20 passages. The first thymidine block was released by washing the plates three times with PBS, and incubating them in fresh thymidine-free media for 12 h. A second thymidine block was then performed by re-addition of thymidine to 2.5 mM followed by incubation for an additional 18 h. Media was aspirated, plates were washed 3 with PBS, and replaced with fresh media in the presence or absence of 10 mM aphidicolin; ANALYSIS DETAILS: See supplementary journal publication; RESULT: The authors of the supplementary journal publication conclude that TNF enhances dose-dependent cell death following doxorubicin-induced DNA damage with minimal affect on dose-dependent cell-cycle arrest.

Phosphorylation levels of JAK2 after addition of increasing Epo-concentrations: model approach (Figure 5a)

The present dataset contain source data for Figure 5a from Schilling et al., 2009. Cell fate decisions are regulated by the coordinated activation of signalling pathways such as the extracellular signal-regulated kinase (ERK) cascade, but contributions of individual kinase isoforms are mostly unknown. The authors combined quantitative data from erythropoietin-induced pathway activation in primary erythroid progenitor (colony-forming unit erythroid stage, CFU-E) cells with mathematical modelling, in order to predict and experimentally confirmed a distributive ERK phosphorylation mechanism in CFU-E cells. The authors found evidences that double-phosphorylated ERK1 attenuates proliferation beyond a certain activation level, whereas activated ERK2 enhances proliferation with saturation kinetics. Phosphorylation levels of JAK2 at 7 min after stimulation for Epo concentrations ranging from 0.1 to 1000 U/ml were simulated.

Modeled integrated responses of ppERK1 and ppERK2 of normal and elevated ERK1 and ERK2 levels (Figure 5b)

The present dataset contain source data for Figure 5b from Schilling et al., 2009. Cell fate decisions are regulated by the coordinated activation of signalling pathways such as the extracellular signal-regulated kinase (ERK) cascade, but contributions of individual kinase isoforms are mostly unknown. The authors combined quantitative data from erythropoietin-induced pathway activation in primary erythroid progenitor (colony-forming unit erythroid stage, CFU-E) cells with mathematical modelling, in order to predict and experimentally confirmed a distributive ERK phosphorylation mechanism in CFU-E cells. The authors found evidences that double-phosphorylated ERK1 attenuates proliferation beyond a certain activation level, whereas activated ERK2 enhances proliferation with saturation kinetics. They show integrated responses of double-phosphorylated ERK1 and ERK2 that were calculated for different Epo concentrations for the original model as well as for models with elevated ERK1 or ERK2 levels.

Phosphorylation levels of JAK2 after addition of increasing Epo-concentrations: experimental data (Figure 5a)

The present dataset data contain source data for Figure 5a from Schilling et al., 2009. Cell fate decisions are regulated by the coordinated activation of signalling pathways such as the extracellular signal-regulated kinase (ERK) cascade, but contributions of individual kinase isoforms are mostly unknown. The authors combined quantitative data from erythropoietin-induced pathway activation in primary erythroid progenitor (colony-forming unit erythroid stage, CFU-E) cells with mathematical modelling, in order to predict and experimentally confirmed a distributive ERK phosphorylation mechanism in CFU-E cells. The authors found evidences that double-phosphorylated ERK1 attenuates proliferation beyond a certain activation level, whereas activated ERK2 enhances proliferation with saturation kinetics. CFU-E cells were stimulated with the indicated Epo concentrations for 7 min and phosphorylation levels were determined by quantitative immunoblotting.

Proliferation of retrovirally transduced CFU-E cells after incubation with increasing Epo-concentration (Figure 5c)

Data contain source data for Figure 5c from Schilling et al., 2009. Cell fate decisions are regulated by the coordinated activation of signalling pathways such as the extracellular signal-regulated kinase (ERK) cascade, but contributions of individual kinase isoforms are mostly unknown. The authors combined quantitative data from erythropoietin-induced pathway activation in primary erythroid progenitor (colony-forming unit erythroid stage, CFU-E) cells with mathematical modelling, in order to predict and experimentally confirmed a distributive ERK phosphorylation mechanism in CFU-E cells. The authors found evidences that double-phosphorylated ERK1 attenuates proliferation beyond a certain activation level, whereas activated ERK2 enhances proliferation with saturation kinetics. Retrovirally transduced CFU-E cells were incubated with increasing Epo concentrations for 14 h and proliferation was measured by [3H]-thymidine incorporation.

Ensemble transcript interaction networks: A case study on Alzheimer's disease

Systems biology techniques are a topic of recent interest within the neurological field. Computational intelligence (CI) addresses this holistic perspective by means of consensus or ensemble techniques ultimately capable of uncovering new and relevant findings. In this paper, we propose the application of a CI approach based on ensemble Bayesian network classifiers and multivariate feature subset selection to induce probabilistic dependences that could match or unveil biological relationships. The research focuses on the analysis of high-throughput Alzheimer's disease (AD) transcript profiling. The analysis is conducted from two perspectives. First, we compare the expression profiles of hippocampus subregion entorhinal cortex (EC) samples of AD patients and controls. Second, we use the ensemble approach to study four types of samples: EC and dentate gyrus (DG) samples from both patients and controls. Results disclose transcript interaction networks with remarkable structures and genes not directly related to AD by previous studies. The ensemble is able to identify a variety of transcripts that play key roles in other neurological pathologies. Classical statistical assessment by means of non-parametric tests confirms the relevance of the majority of the transcripts. The ensemble approach pinpoints key metabolic mechanisms that could lead to new findings in the pathogenesis and development of AD

The role of lipids in mechanosensation

Acknowledgements: This work was supported by Wellcome Trust grants WT092552MA (J.H.N. and I.R.B.), Senior Investigator Award WT100209MA (J.H.N.), 093228 (T.K.S.) and 092970 (M.S.P.S.), and Biotechnology and Biological Sciences Research Council grants BB/I019855/1 (M.S.P.S.), BB/H017917/1 (J.H.N. and I.R.B.) and BB/J009784/1 (H.B.). We acknowledge the Diamond Light Source for beam time. I.R.B. is supported as a Leverhulme Emeritus Fellow. J.H.N. is supported as a Royal Society Wolfson Merit Award holder and as a 1000 Talent Scholar at Sichuan University. A.C.E.D. was supported by an Engineering and Physical Sciences Research Council Systems Biology Doctoral Training Centre student fellowship. We thank R. Phillips, A. Lee and S. Conway for helpful discussions.

Primary sex determination of placental mammals: a modelling study uncovers dynamical developmental constraints in the formation of Sertoli and granulosa cells

Primary sex determination in placental mammals is a very well studied developmental process. Here, we aim to investigate the currently established scenario and to assess its adequacy to fully recover the observed phenotypes, in the wild type and perturbed situations. Computational modelling allows clarifying network dynamics, elucidating crucial temporal constrains as well as interplay between core regulatory modules.

Assessing biological diversity in the United States : data considerations.

Mode of access: Internet.

National Oceanographic Data Center taxonomic code /

Rev. ed. of: NODC taxonomic code. 3rd. ed. 1981.

Organotypic Modeling Platform for Adverse Outcome Pathways of Male Reproductive and Developmental Processes

Thesis (Master's)--University of Washington, 2016-06