2,205 search results for “cancer dat discovery initiatief” in the Public website
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The immune system in action against cervical cancer
In the hunt for a vaccine against cervical cancer, fundamental knowledge about the immune system and organic chemistry have been brought together and have already resulted in a vaccine that is now being tested in clinical trials. Scientists are now working hard on an improved variant.
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Cryptic species discovery
Do understudied animals contain hidden species?
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Development of novel anti-cancer strategies utilizing the zebrafish xenograft model
In this thesis, we will utilize embryonic zebrafish tumour models to understand the interaction between engrafted human cancer cells and macrophages from the host, test drug administration modalities and anti-cancer efficacies of newly-developed PDT and PACT compounds, and test a light-triggered liposomal…
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LED3 Lecture: Covalent Drug Discovery
Lecture
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The diverse roles of integrin α3β1 in cancer: Lessons learned from skin and breast carcinogenesis
In this thesis, we aim to shed light on the diverse and often opposing roles of integrin α3β1 in cancer.
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Cell-autonomous and host-dependent CXCR4 signaling in cancer metastasis: insights from a zebrafish xenograft model
Promotor: A.H. Meijer, Co-promotor: B.E. Snaar-Jagalska
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Activity-based protein profiling in drug discovery
In the last decades, activity-based protein profiling (ABPP) has emerged as a powerful chemical tool that may aid the ever-challenging drug discovery process.
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Inhibitor discovery of phospholipases and N-acyltransferases
In this thesis an activity-based probe was discovered that could visualize the activity of PLAATs. With an optimized gel-based ABPP assay in hand, screening of a compound library led to the discovery of alpha-ketoamides as a hit for PLAAT3.
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Exploring liposome-targeted chemotherapy combined with immunotherapy in cancer
PhD defence
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Discovery of antibiotics and their targets in multidrug-resistant bacteria
Global healthcare is on the verge of an antibiotic availability crisis as bacteria have evolved resistance to nearly all known antibacterials. Identifying new antibiotics that operate via novel modes-of-action is therefore of high priority.
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Activity-based protein profiling for drug discovery
Activity-based protein profiling (ABPP, also termed chemical proteomics), is one of the pillars of chemical biology, and at LED3 we have taken it to the next level. ABPP allows the assessment of protein function in live cells and tissues, which means that the activity of a complete protein family can…
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LED3 Lecture: Data Science in Drug Discovery
Lecture
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LED3 Lecture: Chemical Biology for Drug Discovery
Lecture
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LED3 Lecture: Synthetic Biology for Drug Discovery
Lecture
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LED3 Lecture: Proteomics in Drug Discovery
Lecture
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Discovery of selective diacylglycerol lipase β inhibitors
Diacylglycerol lipases (DAGLα and DAGLβ) are responsible for the biosynthesis of the endocannabinoid 2-arachidonoylglycerol (2-AG) in the brain and peripheral tissues. Selective DAGLβ inhibitors have been proposed as a potential treatment for inflammatory diseases with reduced potential for central…
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Upconverting nanovesicles for the activation of ruthenium anti-cancer prodrugs with red light
Promotor: E. Bouwman, Co-promotor: S. Bonnet
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synergistic effects of Chinese herbal medicine and natural compounds on cancers
What are the biological effects of Chinese herbal medicine in regulation of cancer cell metastasis?
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networks controlled by Grainyhead like transcription factor in breast cancer subtypes
This project is funded by the Dutch Cancer Society. The project will be part of an ongoing research line aimed at identifying mechanisms of cancer therapy resistance and metastasis. In this project, it will be investigated how the Grainyhead family of transcription factors controls therapy response…
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Development of a universal delivery system for tailor-made cancer vaccines
The potential of liposomal cancer vaccines
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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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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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Microfluidics for high-throughput liposome formulation for personalized cancer vaccination
Liposomes hold great promise for peptide-based personalized cancer vaccination, especially when administered intradermally. However, current liposome preparation methods are very time consuming (resulting in long development times per formulation), whereas personalized cancer vaccination requires very…
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PLGA-based particulate vaccine delivery systems for immunotherapy of cancer
Promotores: W. Jiskoot, F. Ossendorp
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xenograft model: identification of novel mechanisms driving prostate cancer metastasis
Prostate cancer (PCa) is one of the most prevalent cancer in males.
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Video lecture: What is cancer?
Cancer is still one of the most common diseases in the world. What exactly is cancer and will we one day be able to cure everyone? In a video from the Universiteit van Nederland Noel de Miranda (Tumour Immunology, LUMC) tells you about his research on new treatments.
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Using Liposomes; Opportunities for Treatment of Atherosclerosis and Cancer
This thesis focuses on using liposomes in two different treatment strategies; vaccination (or immunotherapy) and delivery of a small molecule, and in two different disease models; cancer and atherosclerosis.
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The good? The bad? The mutant! Characterization of cancer-related somatic mutations and identification of a selectivity hotspot in adenosine
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.
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Prediction of human gut (colon cancer) target site concentrations and PKPD relationships
The advanced insights obtained for the CNS PBPK model development are currently used to develop advanced mathematical models for drug distribution prediction in other body tissues protected by barriers, such as the gut. The gut PBPK model will be linked to drug effects for treatment of colon cancer.
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Kinetics for Drug Discovery: a Case for the Adenosine A3 receptor
Supervisor: Lizi Xia
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of data: connecting large datasets with machine learning in a drug discovery envirionment
This thesis focuses on data found in the field of computational drug discovery. New insight can be obtained by applying machine learning in various ways and in a variety of domains. Two studies delved into the application of proteochemometrics (PCM), a machine learning technique that can be used to…
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Discovery and characterization of new glucosylated metabolites: pathophysiological consequences
Within this thesis the central stage is taken by the discovery and investigation of transglycosylation of sterols. First, investigation focuses on the development of a method to accurately detect and quantify glucosylated metabolites in biological materials.
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The Role of Target Binding Kinetics in Drug Discovery
Source: ChemMedChem (2015)
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Antibiotic Discovery: From mechanistic studies to target ID
The investigations described in this thesis lay out strategies aimed at advancing antibiotic research and development. The examples presented revolve around two main approaches: understanding drug-target interactions and target identification.
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Aggressiveness of cancer cells halted
Zebrafish-human communication shows that cancer cells lacking a signaling protein are less able to develop aggressive metastatic properties. This discovery has been made by molecular cell biologist Claudia Tulotta. PhD defence 14 June.
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Sebastian Pomplun joins Oncode Institute to accelerate breakthroughs in cancer research
Sebastian Pomplun manages to reach proteins with drugs even where this was thought impossible. That is why he and his research group have been allowed to join Oncode Institute. With nine others, he had been selected from 72 applicants to contribute to Oncode Institute's mission: to accelerate breakthroughs…
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Scientific computing for Drug Discovery in Python and/or R
Data analysis with Python and R are rapidly becoming essential skills for modern scientists. Therefore, we are offering courses to develop your scientific computing skills. Those courses are optional for LACDR PhD candidates.
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Microengineered Human Blood Vessels For Next Generation Drug Discovery
Heart failure is a major health care problem with high mortality.
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Immune system plays dual role in breast cancer
The immune system plays a paradoxical role in the spread of breast cancer. Some immune cells contribute to metastasis, while other cells can be activated to strengthen the effect of chemotherapy. Kelly Kersten made this discovery in her PhD research. PhD defence 7 February.
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Borderline between cancer and thrombosis
Winning a prestigious award for PhD researchers, even before you have your doctorate: that's what Yascha van den Berg managed to do with his research proposal on alternatively spliced tissue factor, a protein that may be involved in tumour growth. Van den Berg: ‘It all started as a Friday afternoon…
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Discovery of novel inhibitors to investigate diacylglycerol lipases and α/β hydrolase domain 16A
Promotor: H.S. Overkleeft, Co-promotor: M. van der Stelt
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Proteins in harmony: Tuning selectivity in early drug discovery
This thesis describes the importance of being able to control the selectivity of potential drug candidates.
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Tracking genes to fight breast cancer
PhD student Esmee Koedoot studied the underlying processes responsible for metastases in a dangerous type of breast cancer. She hopes to find new possibilities to fight the disease. In December 2019 she obtained her doctorate cum laude.
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SPECT/CT-guided elective nodal irradiation for head and neck cancer
PhD defence
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Patient-derived models of breast cancer: A breakthrough story of the duct
PhD defence
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Metabolomics and lipidomics applications in the context of immune and cancer metabolism
PhD defence
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Knowledge Discovery and Data Mining from patient experience repositories
This project develops a scientific method to extract clinically relevant new information from patient forum websites that discuss patient experiences concerning e.g. medication, nutrition, co-morbidities, genetic factors etc.
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DEBTELIN: Magazine for Mantsjoe
Debtelin (’boekje’ in het Mantsjoe) is een initiatief van de Leidse sinoloog en mantsjoeïst Fresco Sam-Sin en is gevuld met artikelen van Leidse studenten en onderzoekers sinologie.
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‘Genetic variants could help determine whether breast cancer is hereditary’
We already know a lot about genetics and the risk of breast cancer. But much still needs to be done in breast cancer genetics to improve the prognosis and make sure women at high risk aren’t missed. This is what Professor by Special Appointment Marjanka Schmidt will say in her inaugural lecture on 4…
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Role of leukocytes in metastasis formation in a zebrafish
How do macrophages and neutrophils contribute to metastatic onset?