Human skin equivalents (HSEs) are in vitro 3D-skin models that mimic many aspects of the native human skin (NHS) and can be a valuable tool. In this thesis, several (medium based) approaches have... Show moreHuman skin equivalents (HSEs) are in vitro 3D-skin models that mimic many aspects of the native human skin (NHS) and can be a valuable tool. In this thesis, several (medium based) approaches have been investigated to improve the barrier characteristics of this HSE to mimic that of NHS. Show less
Epithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential... Show moreEpithelial-mesenchymal plasticity (EMP) and tumor cell migration play an important role in cancer progression, and an improved understanding of the mechanisms underlying these concepts is essential for developing new targeted approaches. In this thesis, we studied these mechanisms using mathematical and computational approaches.First, we summarized and reviewed previous computational approaches that have been used to decipher EMP regulation. We then created mathematical models to explore (1) how different regulatory networks can explain epithelial-mesenchymal transition (EMT) in different cell contexts, and (2) how EMP and immune regulation can interact to cause tumor immunoevasion.Next, we studied the role of cell density in migration characteristics of triple-negative breast cancer cell lines by using a combined experimental and computational approach. We show how clustering and pseudopodial dynamics, potentially influenced by EMT-related factors, can alter the migratory behavior of these cell lines.Jointly, our work has shown that computational modeling can be used to test hypotheses based on experimental data, and generate testable hypotheses, making it a valuable addition to wet-lab experiments. Importantly, we identified mechanisms related to potential therapeutic targets, hopefully leading to improved targeted therapies and reduced cancer mortality. Show less
Solute carrier (SLC) transporters are a large and diverse class of relatively understudied transmembrane proteins. Due to their critical role in cellular homeostasis, physiological processes and... Show moreSolute carrier (SLC) transporters are a large and diverse class of relatively understudied transmembrane proteins. Due to their critical role in cellular homeostasis, physiological processes and disease development, there is a great number of SLCs that have the potential to be viable drug targets for the treatment of disease. Robust assays are required to identify and characterize potential drugs for SLCs, which are often screened in vitro using cell-based or cell-free systems. Conventional assays either require the use of chemical labels, which i) can be invasive and compromise a cell’s physiology, ii) are based on end-point measurements, iii) use cell preparations and/or iv) do not allow screening of a large number of compounds. This thesis presents the development and application of novel label-free assays based on electrical impedance that allow the assessment of functional activity for three human SLCs: the dopamine transporter (DAT, SLC6A3), norepinephrine transporter (NET, SLC6A2) and excitatory amino acid transporters (EAAT, SLC1 family). With the ability to screen and characterize SLC inhibitors, these assays are a new addition to the ever-expanding toolbox for SLC transporters and could prove valuable in drug discovery programs for a wide range of diseases. Show less
In this thesis, we focus on novel proteins/mechanisms that regulate integrin-adhesion mediated mechano-transduction. We characterized the role of integrin α6β4/HD and caskin2 in force generation... Show moreIn this thesis, we focus on novel proteins/mechanisms that regulate integrin-adhesion mediated mechano-transduction. We characterized the role of integrin α6β4/HD and caskin2 in force generation via FA, investigated the underlying crosstalk between adhesions and cytoskeletons. Moreover, we also explored the mechanism that drives the integrin αVβ5 clustering in FCLs, in which cell tension is also involved. Last but not the least, we investigated the role of an unexplored protein, caskin2, in the regulation of cellular mechanics. Show less
Integrins play an essential role in multicellular life by connecting cells to the extracellular matrix. This thesis provides an overview of the distinct types of integrin-containing cell adhesion... Show moreIntegrins play an essential role in multicellular life by connecting cells to the extracellular matrix. This thesis provides an overview of the distinct types of integrin-containing cell adhesion complexes present in epithelial cells. By employing BioID we succesfully characterized the composition of focal adhesions, flat clathrin lattices, and hemidesmosomes. In addition, we investigated the role of different adhesion complexes in (cancer) cell adhesion, migration, polarity, and proliferation and in mechanotransduction. Show less
G protein-coupled receptors (GPCRs), one of the largest families of membrane proteins, are responsive to a diverse set of physiological endogenous ligands including hormones and neurotransmitters.... Show moreG protein-coupled receptors (GPCRs), one of the largest families of membrane proteins, are responsive to a diverse set of physiological endogenous ligands including hormones and neurotransmitters. Due to the various GPCR ligand binding domains present on GPCRs and their sensitivities to a diverse array of ligands, these proteins have shown to be very ‘druggable’ as they are the main target for an estimated 30% of approved drugs. A growing body of evidence shows a prominent role of GPCRs in all phases of cancer with a mutation frequency of approximately 20% in all cancers. Mutations occurring in GPCRs can severely alter their normal function and may ultimately convert their physiological and pathological roles. One particular class of rhodopsin-like GPCRs included in this thesis are the adenosine receptors (ARs). Due to the accumulation of adenosine in the tumor microenvironment, all four subtypes of ARs might be targets for the development of novel approaches for the treatment of cancer. For each of the four subtypes, a number of somatic mutations have been identified in patient isolates. In this thesis, we examined them on receptor activation and ligand binding using reference adenosine receptor ligands, and determined the impact mutations have on these pharmacological readouts. Show less
This thesis aimed to investigate core cross-linked polymeric micelles (CCPMs) and expand their potential for the delivery of hydrophobic drugs and co-factors. Applying polypept(o)ides as the... Show moreThis thesis aimed to investigate core cross-linked polymeric micelles (CCPMs) and expand their potential for the delivery of hydrophobic drugs and co-factors. Applying polypept(o)ides as the polymeric platform technology, the fundamental implications of secondary structure formation on ring-opening N-carboxyanhydride (NCA) polymerization and self-assembly were examined and optimized. CCPMs with functional core architectures serving external or disease-related stimuli were developed. To establish robust CCPM production, overcome drug resistance mechanisms, and explore therapeutic agents for immunomodulation, polymer science was combined with organic and inorganic chemistry. Show less
Over several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods... Show moreOver several decades, a variety of computational methods for drug discovery have been proposed and applied in practice. With the accumulation of data and the development of machine learning methods, computational drug design methods have gradually shifted to a new paradigm, i.e. deep learning methods have attracted particular interest in drug design. In this study, a new deep learning-based method (DrugEx) was proposed to design de novo drug-like molecules. It was proven that candidate molecules designed by DrugEx had a larger chemical diversity, and better covered the chemical space of known ligands. In order to address the issue of polypharmacology, the DrugEx algorithm was updated with multi-objective optimization towards multiple targets. The results of its application demonstrated the generation of compounds with a diverse predicted selectivity profile toward multiple targets, offering the potential of high efficacy and lower toxicity. In order to improve its generality, DrugEx was further updated to have the capability of designing molecules based on given scaffolds. We extended the architecture of Transformer to deal with each molecule as a graph. As a proof, its effectiveness in that 100% valid molecules are generated and most of them had predicted high affinity towards A2AAR with given scaffolds. Moreover, GenUI was developed as a visualizion software platform that makes it possible to integrate molecular generators within a feature-rich graphical user interface to facilitate collaboration in the disparate communities interested in computer-aided drug discovery.These studies highlight the overwhelming power of AI methods in drug discovery. Show less
Chemical-induced organ toxicity is a major concern in the development and use of chemicals, including drugs, pesticides, industrial chemicals and cosmetics. In the last decades, the onset and... Show moreChemical-induced organ toxicity is a major concern in the development and use of chemicals, including drugs, pesticides, industrial chemicals and cosmetics. In the last decades, the onset and progression of chemical-induced organ toxicity has been linked amongst others to perturbation of mitochondria.In this work, we set out to further unravel the mechanisms behind mitochondrial toxicity initiated by a chemical insult. More in-depth and biology driven assessment of the onset and progression of mitochondrial perturbation supports the development of relevant prediction tools. We aimed to stimulate the integration of these in vitro and in silico prediction tools in the safety assessment of existing and new chemicals, to allow detailed assessment of mitochondrial fitness upon chemical exposure. Show less
The focus of the described research in this thesis is on the oxidative stress response (Nrf2 pathway). The aim of the research presented in this thesis is to obtain more information concerning... Show moreThe focus of the described research in this thesis is on the oxidative stress response (Nrf2 pathway). The aim of the research presented in this thesis is to obtain more information concerning microRNAs which are involved in the Nrf2 pathway, to determine and evaluate the application of microRNAs for the construction of novel mechanistic biomarkers. Furthermore, we aimed to obtain a better understandingwith respect to the dynamics of the Nrf2 pathway to repeated xenobiotic exposure.To investigate the effect of overexpression of microRNAs on the Nrf2 pathway response in general and in combination with chemical exposure, a microRNA mimic screen was performed. In this screen overexpression of microRNAs was induced by using synthetic microRNA mimics. Since repeated exposure may drive adaptation programs and may lead to different responses between single and repeated exposures. The effect of a second exposure on the dynamics of the Nrf2 pathway activation was conducted. Final, results of a study are shown where a panel of structurally different phenolic compounds were used to demonstrate the proof-of-concept that Nrf2 pathway reporters can successfully be applied as biomarkers to characterize the specific pro-oxidant responses of chemicals. Show less
Barrier function is the natural role of the skin. The lipid matrix present in the outermost layer of the skin, the stratum corneum is important for this function. Barrier impairment and altered... Show moreBarrier function is the natural role of the skin. The lipid matrix present in the outermost layer of the skin, the stratum corneum is important for this function. Barrier impairment and altered lipid composition are observed in several inflammatory skin diseases including atopic dermatitis and psoriasis. However, the relationship between the lipid properties and barrier function is not comprehended.In this project, a lipid model was prepared from synthetic lipids that closely resemble the stratum corneum lipid composition and organization. Subsequently, diseased skin models were developed to mimic various abnormalities in lipid composition observed in atopic dermatitis patients’ skin. Biophysical methods were used to monitor the changes in lipid organization in these models. Diffusion studies and trans-epidermal water loss measurements were performed to monitor the barrier function. This allowed the determination of the changes in lipid properties that were most instrumental in reducing the lipid barrier.This thesis further describes the use of simple skin lipid model membranes incorporating fewer components to provide a detailed insight into the relationship between lipid composition, lipid organization, and the skin barrier. The information gained in this project offers the opportunity to develop a new generation of formulations to treat these patients. Show less
The clinical potential of applying synthetic lethality to cancer treatment is famously demonstrated by the BRCA1/PARP1 paradigm: a tumor specific defect in BRCA1 – a component of the DNA double... Show moreThe clinical potential of applying synthetic lethality to cancer treatment is famously demonstrated by the BRCA1/PARP1 paradigm: a tumor specific defect in BRCA1 – a component of the DNA double-strand break (DSB) repair pathway homologous recombination (HR) – results in a remarkable sensitivity to PARP1 inhibition (PARPi). Despite spectacular initial responses in patients, resistance to PARPi treatment may develop and must be overcome to maximally exploit this interaction in the clinic. Genetically engineered (mouse) model systems have shown that PARPi resistance may arise through inactivation of the 53BP1 pathway. The 53BP1 pathway normally protects DSB ends from resection and the removal of this “brake” restores HR in the absence of BRCA1. However, how the 53BP1 pathway protects DSB ends from resection has remained elusive. In this thesis, advances in 3D tumor organoid culture protocols and CRISPR/Cas9 (screening) technology were applied to identify and validate new components of the 53BP1 pathway that render BRCA1 deficient cells resistant to PARPi upon their loss. Furthermore, a new acquired vulnerability that can be therapeutically exploited to deplete such PARPi resistant cells is described. Together, this thesis provides mechanistic insight in DSB repair and illustrates how such fundamental knowledge may stand at the basis to combat resistance. Show less
Particles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g.... Show moreParticles are omnipresent in biopharmaceutical products. In protein-based therapeutics such particles are generally associated with impurities, either derived from the drug product itself (e.g. protein aggregates), or from extrinsic contaminations (e.g. cellulose fibers). These impurities can affect product stability, as well as cause adverse effects once introduced into the human body. Particulate impurities are present over a wide range of sizes (from nanometers to millimeters) making them difficult to characterize by using a single method.Novel drug products may also contain particles that act as the active pharmaceutical ingredient (e.g., living cells) or a drug delivery vehicle (e.g., lipid nanoparticles). Unwanted immunotoxicity and inconsistent in vivo functionality can result from particle instability and aggregate formation. Therefore, the efficacy and safety of these therapeutics is dependent on the particle composition, quantity and size distribution.Consequently, well-established methods are required to quantify and characterize particles in the submicron- and micron-size ranges. In this thesis, we developed new approaches which allow for comprehensive characterization of the particle populations present in biopharmaceutical products, both as impurities or as API. Furthermore, the performed work focused on comparing different particle characterization techniques to allow a better understanding of the limitations and strengths of each method applied. Show less
The chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry. Our initial... Show moreThe chemical and structural heterogeneity of toxoid vaccines makes their analysis challenging. However, detailed insights on a molecular level can be obtained by mass spectrometry. Our initial focus was the identification of formaldehyde-induced modifications in diphtheria toxin, which is described in Chapter 2. Subsequently, the methods described in Chapter 2 were applied to study what effects formaldehyde-induced modifications on model proteins have on their susceptibility to enzymatic proteolysis (Chapter 3). During the analysis of these model proteins, unknown formaldehyde-induced modifications were observed. The structural elucidation of these modifications, the discovery of a new type of crosslinks and various other subsequent reaction products are described in Chapter 4. The degradomics analysis described in Chapter 3 was applied to tetanus toxoids to distinguish heat-denaturated toxoids from their original state (Chapter 5). In order to reduce the analysis time and further improve the degradomics approach, an optimized strategy using Tandem Mass Tag multiplexing for the relative quantification of peptides was developed for the analysis of diphtheria toxoids (Chapter 6). Finally, Chapter 7 provides a brief discussion on the results presented in this thesis and offers some perspectives on implementation of the findings for toxoid vaccine development, quality control and further research. Show less
Pharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of... Show morePharmaceutical companies, governments and the general public have become increasingly aware that animal models used in drug testing lack vital aspects to serve as an accurate representation of human biology. As models of the human body should become more physiologically relevant, animal models no longer suffice because responses of animal cells often differ from human cells. Instead, in vitro cell culture models with 3D architecture, microfluidics and high throughput capabilities are a promising technology. These 3D models can be developed in ways that they will likely surpass animal models on important aspects like resemblance to a human body, predicting compound safety and efficacy, high throughput testing capabilities, ethical aspects, and costs.To demonstrate the feasibility of an advanced 3D in vitro model, we used a microfluidic in vitro platform to develop a kidney-on-a-chip platform which possess the ability to reproduce the tubular response to known and unknown nephrotoxicants and compounds as seen in in vitro and in clinical studies. Furthermore, we assessed the response of the model to renal ischemia/reperfusion injury and could measure the prevention of tubular damage when adding protective compounds.These findings show that 3D tissue models can compete with alternatives like animal models and 2D models. Show less
Neurodegenerative diseases, including Parkinson’s disease (PD), are increasing in prevalence due to the aging population. Despite extensive study, these diseases are still not fully understood and... Show moreNeurodegenerative diseases, including Parkinson’s disease (PD), are increasing in prevalence due to the aging population. Despite extensive study, these diseases are still not fully understood and the lack of personalised treatment options that can target the cause of the diseases, rather than the symptoms, has led to a greater demand for improved disease understanding, therapies and diagnostic procedures. In this thesis, we use systems biology approaches to construct disease-specific models intended for biomarker discovery, therapeutic treatment strategy identification and drug repurposing in PD. Systems biology is a mathematical field of research that analyses biological systems via construction of a computational model using experimental data. This is achieved by integration of omics data, including genomics, proteomics, transcriptomics and metabolomics. A specific approach used to identify the physico- and biochemical bounds within a biological system is constraint-based modelling, which requires the input of absolute quantitative metabolomics data. To improve our absolute quantitative coverage of the metabolome, we developed and improved new quantitative metabolomics methods using a targeted mass spectrometry workflow to obtain data intended to be integrated into constraint-based metabolic models for the study of PD. Show less
Immunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system. Despite significant success of immunotherapies in the... Show moreImmunotherapies for cancer are an emerging class of therapeutic strategies which aim to treat cancer via augmentation of the immune system. Despite significant success of immunotherapies in the past decade, not all patients will respond to these treatments and the reasons why immunotherapies are successful in some patients, but not others, remain incompletely understood. The immune response to cancer is a complex, multistage process, and mathematical and computational models are a useful tool for understanding such complex systems. In this thesis, I develop mathematical and computational models of cytotoxic T lymphocytes (CTLs), who are key players in the immune system due to their ability to recognise, destroy, and provide long lasting protection against malignant or virally infected cells. Show less
In this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular... Show moreIn this thesis population pharmacokinetic and physiologically-based pharmacokinetic (PBPK) approaches were applied to investigate the influence of glomerular filtration (GF) and active tubular secretion (ATS) on renal clearance in children. For this investigation, the contributions of passive (i.e. GF) and active (i.e. ATS) processes to renal clearance are considered. Both processes contribute to pediatric renal clearance and are expected to be influenced by developmental changes. Hence, the extent to which these developmental changes impact renal clearance is explored in pediatric populations using clinical data of existing drugs, and using a PBPK-based framework for hypothetical drugs with an array of different properties excreted by either GF or both GF and ATS. Show less
In this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development. Modeling based approaches were shown to... Show moreIn this thesis, mathematical modeling and simulation was applied as a tool to inform quantitative decision making in oncology drug discovery and development. Modeling based approaches were shown to be useful to understand the mechanism of action and deconvolve the complexities of novel biotherapeutic modalities being used to treat cancer, including monospecific and bispecific monoclonal antibodies and antibody drug conjugates. Several key observations and learnings were made. For example, modeling was shown to be a useful method to reduce animal experimentation, by enabling in vitro to in vivo correlations or use of simulation to replace experimental methodologies. Mechanism based modeling and simulation was found to be a useful means to translate from preclinical studies to the clinic to ensure progression of the best drug to clinical trials. These models could then be used to optimize design of clinical studies from selection of starting doses to recommended efficacious doses for pivotal trials. Modeling was shown to be beneficial to understand variability in the clinic and to identify factors impacting drug response in individual patients, paving the way for precision medicine strategies, informing clinical diagnostics, biomarkers, and doses for different oncology indications. Show less
Invasive lobular carcinoma (ILC) is the second most common type of breast cancer. Hallmarks of ILC include disruption of adherens junctions and hyperactivation of phosphoinositide 3-kinase (PI3K)... Show moreInvasive lobular carcinoma (ILC) is the second most common type of breast cancer. Hallmarks of ILC include disruption of adherens junctions and hyperactivation of phosphoinositide 3-kinase (PI3K)-mTOR signaling. The tumor suppressor PTEN regulates PI3K signaling. We present a preclinical mouse model of ILC metastasis, based on inactivation of the adherens junction protein E-cadherin and the tumor suppressor p53 and surgical excision of primary tumors. In this model, pharmacological mTOR inhibition blocks growth of primary tumors as well as metastatic disease, and this response is partially dependent on the adaptive immune system. Loss of E-cadherin mouse mammary epithelium leads to apoptosis, and PTEN activation alone results in squamous metaplastic mammary tumors, but a combination of these events leads to ILC formation, indicating a causal role of PI3K signaling together with E-cadherin loss in ILC. Combined somatic loss of the adherens junction molecule p120 and p53 in the mouse mammary gland leads to metaplastic mammary tumors, and loss of p120 in breast cancer cell lines promotes anoikis resistance through hypersensitization of growth factor receptor (GFR) signaling. Combined inactivation of E-cadherin, p120 and p53 induces basal-like tumors, with an epithelial-to- mesenchymal-transition (EMT) phenotype, and no ILC formation. Show less
