1576 search results for “genetically enigneered mouse models” in the Public website
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Pulling the strings on anti-cancer immunity
Promotores: J. Jonkers, K.E. de Visser
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Using mouse models to uncover genes driving tumorigenesis and therapy resistance in human breast cancer
To improve cancer treatments, personalized medicine approaches have aimed to identify exactly which mutations are driving tumor development in a given patient and specifically target these mutations using precision therapies.
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Cholesterol metabolism in mouse models of atherosclerosis and adrenal steroidogenesis
Cholesterol influences many pathways, including serving as precursor for adrenal steroidogenesis. Imbalance of cholesterol levels has been implicated in several diseases including cardiovascular diseases and its underlying pathology, atherosclerosis.
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Extremely shy and genetically close
Investigating neurobiological endophenotypes of Social Anxiety Disorder
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Precision modeling of breast cancer in the CRISPR era
The molecular mechanisms that instigate a healthy cell to become malignant are fueled by (epi)genetic alterations in so-called driver genes.
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Resistance to PARP inhibition by DNA damage response alterations in BRCA1/2-deficient tumors
Inactivating mutations in BRCA1 or BRCA2 genes predispose to several types of cancer.
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Triple bottom line approach for risk-benefit analysis of genetically modified crops
Description of Triple bottom line approach for risk-benefit analysis of genetically modified crops.
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Using insertional mutagenesis to identify breast cancer drivers and therapy resistance genes in mice
In this thesis, we used genetically engineered mouse models to identify genes and pathways that are involved in ILC formation and in the development of resistance to FGFR-targeted therapy.
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Cholesterol metabolism and hematopoiesis interaction in atherothrombosis
Cardiovascular disease is the leading cause of death worldwide.
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Evaluation of the zebrafish embryo as an alternative model for hepatotoxicity testing
Promotor: Prof.dr. B. van de Water, Co-promotores: L.T.M. van der Ven, A.S. Kienhuis
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Regulation of actomyosin contraction as a driving force of invasive lobular breast cancer
In this thesis, we used genetically engineered mouse models and a variety of cell-culture based assays to identify genes and pathways that are involved in the development and treatment of invasive lobular carcinoma (ILC).
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Zebrafish as vertebrate model of Gaucher disease
Lysosomal storage disorders (LSDs) are a group of orphan diseases characterized by lysosomal dysfunction or impaired lysosomal catabolism and affect collectively about 1 in 5000 live births.
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Abstract Behavioral Specification: unifying modeling and programming
We strive to address the challenge of constructing a modeling language to write software which can take advantage of recent hardware developments (multicore, cloud) without compromising in its abstraction levels.
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Computational modeling of angiogenesis : from matrix invasion to lumen formation
Promotor: Roeland M.H. Merks
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Biotic ligand models
Description of Biotic ligand models: making an inventory of available models & assessment of the variability of the predicted HC5 using the BLMs in different Dutch water types (2005 - 2007)
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Minimal structure modeling
Existing work in probabilistic language modeling can be mostly divided into two categories: (i) Purely sequential, string-level approaches ensure fluency at the local level without notion of grammaticality and seek improvements in the use of massive training corpora. (ii) Fully structural, tree-based…
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Self-regulation models
... which builds on self-regulation and stress-regulation theories and considers the modification of cognitions as a mediator of therapeutic change.
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Unraveling temporal processes using probabilistic graphical models
Real-life processes are characterized by dynamics involving time. Examples are walking, sleeping, disease progress in medical treatment, and events in a workflow.
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Adaptive Streaming Applications: Analysis and Implementation Models
Promotor: Prof.dr. E. Deprettere
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Bayesian Inference for Gaussian Models
This dissertation studies the Asymptotics of Bayesian nonparametric inference for Gaussian linear models.
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In vivo modelling of Ewing sarcoma in zebrafish
Promotores: Prof.dr. P.C.W. Hogendoorn & Prof.dr. H.P. Spaink Co-promotor: Dr. B.E. Snaar-Jagalska
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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PhD candidate “Modelling violent conflict”
Science, Leiden Institute of Advanced Computer Science (LIACS)
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Development of a Dynamic Substance Stock Model
Making a dynamic substance stock model in order to conduct scenario analyses and make forecasts.
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Systems pharmacokinetic models to the prediction of local CNS drug concentrations in human
Clinical development of drugs for central nervous system (CNS) disorders has been particularly challenging and still suffers from high attrition rates.
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Abstract delta modeling: software product lines and beyond
Promotor: Prof.dr. F.S. de Boer, Co-promotor: D. Clarke
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Biological model representation and analysis
Promotor: Prof.dr. J.N. Kok, Co-promotor: F.J. Verbeek
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Imaging complex model catalysts in action
From surface science towards industrial practice using high-pressure scanning tunneling microscopy.
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Statistiek als je modellen niet kloppen
Peter Grunwald
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On metrics and models for multiplex networks
In this thesis, we extend the concept of null models as canonical ensembles of multi-graphs with given constraints and present new metrics able to characterize real-world layered systems based on their correlation patterns.
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Advanced in vitro models for studying drug induced toxicity
Promotor: B.van de Water, Co-promotor: L.S.Price
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Postdoc in modelling food system dynamics
Science, Institute of Environmental Sciences (CML)
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Quantitative modelling of the response of earthworms to metals
Promotor: Prof.dr. W.J.G.M. Peijnenburg
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Monitoring Alzheimer's disease in transgenic mice with ultra high field magnetic resonance imaging
Promotor: Prof.dr. H.J.M de Groot, Co-Promotor: A. Alia
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quantification of growth hormone secretion : application of model-informed drug development in acromegaly
Growth hormone profiles are pulsatile and highly variable between individuals, limiting the implementation of mathemathical models to quantify an individual's secretion.
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in special populations: towards semi-physiological pharmacokinetic models
M. Danhof, Co-promotores: J. Freijer, A. Yassen
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Modeling interstellar bubbles: near and far
Promotor: Prof. dr. A.G.G.M. Tielens
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Computational modeling of mycobacterium infection and innate immune reponse in zebrafish
Promotor: Prof.dr. J.N. Kok
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The parabolic Anderson model and long-range percolation
Promotor: Prof.dr. F. den Hollander, G.Maillard
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Better Predictions when Models are Wrong or Underspecified
Promotor: P.D. Grünwald
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Constraint-Based Analysis of Business Process Models
Business Process Model and Notation (BPMN) has become the standard for business processes diagrams.
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A recipe for desert: analysis of an extended Klausmeier model
Promotores: Arjen Doelman, Jens Rademacher, Max Rietkerk
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Development of Quantitative Nanostructure Activity Relationship (QNAR) Models Predicting the Toxicity of Metal-based Nanoparticles to Aquatic Species
Describe and identify what dosimetry parameters are of importance to interpret dose-response relationships (eg., mortality, sub-lethal, growth or reproduction inhabitation, DNA damage and reactive oxygen species, etc. ) for metal-based nanoparticles? How to develop quantitative models that enable to…
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Global Scenarios of Environmental Impacts with Structural Economic Models
To limit the effects of climate change, global average temperature since pre-industrial measurements are to be kept well below 2 °C preferably even at 1.5 °C.
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Biomimetic models of [NiFe] hydrogenase for electrocatalytic hydrogen evolution
The growing demand of energy indicates that global energy resources in the form of fossil fuels will not be sufficient in the future. In order to solve potential future energy problems development of a sustainable hydrogen economy is highly desirable.
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Enriching official economic statistics using data-driven modelling techniques
Netherlands Statistics (CBS), Leiden University and the University of Amsterdam have started a collaboration in the form of a research project titled 'Enriching official economic statistics using data-driven modelling techniques'.
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PHD candidate, Mathematical modeling for prediction of liver toxicity
Science, Leiden Academic Centre for Drug Research (LACDR)
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Lattice models for Josephson junctions and graphene superlattices
In this thesis we study quantum transport phenomena on the nanometer scale, in two classes of materials: topological insulators with induced superconductivity and graphene superlattices.
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spatial-temporal brain drug distribution with a novel mathematical model
A novel mathematical model describes spatial-temporal drug distribution within one or more brain units, which are cubic representations of a piece of brain tissue with brain capillaries at the edges.