2,585 search results for “cancer data discovery initiative” in the Public website
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Translational drug discovery and development
We cover the entire spectrum from target identification to the evaluation of the efficacy and safety of novel medicines in clinical practice.
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Uncovering vulnerabilities in triple-negative breast cancer
Triple-negative breast cancer (TNBC) constitutes a small subtype (~15%) of breast cancer, but causes the majority of breast cancer-related deaths.
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Liposome-based synthetic long peptide vaccines for cancer immunotherapy
Promotores: Wim Jiskoot; Ferry Ossendorp
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Using zebrafish to target the Achilles’ heel of cancer
Exploiting metabolic vulnerabilities to identify anticancer compounds in zebrafish synthetic lethality screens.
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Cryptic species discovery
Do understudied animals contain hidden species?
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Targeted Therapy for Triple-Negative Breast Cancer
The research described in this thesis focused on identifying novel drug targets and synergistic combinations for triple-negative breast cancer (TNBC), a virulent subtype of breast cancer with a dismal prognosis and limited therapeutic options.
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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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Initiatives
LUCITH runs a number of initiatives and programmes. Below you will find a list of initiatives and activities by the Centre for Islamic Thought and History.
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LED3 Lecture: Covalent Drug Discovery
Lecture
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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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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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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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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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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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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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Exploring liposome-targeted chemotherapy combined with immunotherapy in cancer
PhD defence
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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: Proteomics 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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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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Data Science
The majority of scientists, from archaeologists through to zoologists, collect huge volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics, we can develop algorithms for analysing and identifying patterns…
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Data Science
The ability to collect and interpret huge quantities of data has become indispensable to society and academia. Leiden University is a knowledge and expertise centre for data science that places the emphasis on interdisciplinary collaboration and innovation.
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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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‘For good measure’: data gaps in a big data world
Sarah Giest and Annemarie Samuels, both Assistant Professors at Leiden University, researched the quality and coverage of the data being collected for policiymakers to be used, specifically pertaining to minority groups.
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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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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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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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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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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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Kinetics for Drug Discovery: a Case for the Adenosine A3 receptor
Supervisor: Lizi Xia
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Statistics and Data Science
The group Statistical Science is responsible for research and teaching in statistics and data science.
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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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Initiatives
Since the start of the Green Office, several projects have been initiated to increase awareness amongst staff & students and to make the university more sustainable. Read all about our current projects here.
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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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Data science
The majority of scientists, from archaeologists through to zoologists, collect enormous volumes of data. Their massive databases contain large amounts of information which is difficult for humans to filter. With a solid grounding in statistics and computer science, we can develop algorithms for analyzing…
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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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Screening enormous databases to find a cure for cancer
Pharmaceutical research should make more use of data science, says Gerard van Westen, postdoctoral fellow at the Leiden Academic Centre for Drug Research (LACDR). ‘If we want to have better drugs, we should start with data.’
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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.