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- A new regulator of 'stemness' to create dendritic cell factories for immunotherapy
- Advanced imaging interrogation of pathogen induced NETosis
- Cancer driver deserts
- Cryo-electron microscopy of Wnt signalling complexes
- Deciphering the heterogeneity of breast cancer at the epigenetic and genetic levels
- Developing drugs to block malaria transmission
- Developing new computational tools for CRISPR genomics to advance cancer research
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- Discovering novel paradigms to cure viral and bacterial infections
- Discovery and targeting of novel regulators of transcription
- Dissecting host cell invasion by the diarrhoeal pathogen Cryptosporidium
- Do membrane forces govern assembly of the deadly apoptotic pore?
- Doublecortin-like kinases, drug targets in cancer and neurological disorders
- E3 ubiquitin ligases in neurodegeneration, autoinflammation and cancer
- Engineering improved CAR-T cell therapies
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- Exploiting cell death pathways in regulatory T cells for cancer immunotherapy
- Finding treatments for chromatin disorders of intellectual disability
- Functional epigenomics in human B cells
- Genomic rearrangement detection with third generation sequencing technology
- How does DNA damage shape disease susceptibility over a lifetime?
- How does DNA hypermutation shape the development of solid tumours?
- How platelets prevent neonatal stroke
- Human lung protective immunity to tuberculosis
- Interaction with Toxoplasma parasites and the brain
- Interactions between tumour cells and their microenvironment in non-small cell lung cancer
- Investigating the role of dysregulated Tom40 in neurodegeneration
- Investigating the role of mutant p53 in cancer
- Lupus: proteasome inhibitors and inflammation
- Machine learning methods for somatic genome rearrangement detection
- Malaria: going bananas for sex
- Measurements of malaria parasite and erythrocyte membrane interactions using cutting-edge microscopy
- Measuring susceptibility of cancer cells to BH3-mimetics
- Minimising rheumatic adverse events of checkpoint inhibitor cancer therapy
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- Naturally acquired immune response to malaria parasites
- Predicting the effect of non-coding structural variants in cancer
- Revealing the epigenetic origins of immune disease
- Reversing antimalarial resistance in human malaria parasites
- Structural and functional analysis of DNA repair complexes
- Targeting human infective coronaviruses using alpaca antibodies
- Towards targeting altered glial biology in high-grade brain cancers
- Uncovering the real impact of persistent malaria infections
- Understanding Plasmodium falciparum invasion of red blood cells
- Understanding how malaria parasites sabotage acquisition of immunity
- Understanding malaria infection dynamics
- Understanding the mechanism of type I cytokine receptor activation
- Unveiling the heterogeneity of small cell lung cancer
- Using alpaca antibodies to understand malaria invasion and transmission
- Using combination immunotherapy to tackle heterogeneous brain tumours
- Using intravital microscopy for immunotherapy against brain tumours
- Using nanobodies to cross the blood brain barrier for drug delivery
- Using structural biology to understand programmed cell death
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Phil Hodgkin-Projects
Researcher:
Projects
Super Content:
Our research have shown that some immune cells have some control over their own destiny.
A computational model of the immune system
The development of mathematical models of the T and B cell adaptive immune response has developed rapidly over the last several years and the probabilistic principles for codifying modules of cellular behavior have proved increasingly successful. All members of the lab work either with, or on improving such models directly. New resources are being developed as software for the immunology community. Experiments to inform the models and to test predictions are made from single cell tracking, from cell division and differentiation tracking and from fate mapping performed both in vitro and in vivo.
Members: Mark Dowling, Andrey Kan, John Markham, Ken Duffy (National University of Ireland).
The biology of T and B cells and the cellular calculus
There is still much to learn about the normal biology of both T and B lymphocytes in the immune response. We are particularly keen to understand how cells add signals together and adjust to changing levels and combinations of the many different cytokines and costimuli on offer during an immune challenge. To reveal this ‘cellular calculus’ we measure cell behavior, at single cell and population level to learn the rules of addition and to predict the net outcomes. The effects of drugs and genetic manipulations on modular components of the cell are also being measured with the aim to develop a principle for predictive immunotherapy and in silico drug screening.
Members: The model team: Mark Dowling, Andrey Kan, John Markham, Ken Duffy (National University of Ireland) with the experimental team – Su Heinzel, Julia Marchingo, Jie Zhou, Bryan Lye.
The biology of cancer and chemotherapy
The basic model of cellular mechanics we have developed, the Cyton sees autonomous processes governing cell fates, such as division and death, placed in competition within each cell. We are exploring this hypothesis in the context of cancer cell biology to attempt a general theory of the regulation of cell fates. This will help to understand the effects of deregulation of the cell cycle in cancer cells and to better target the use of chemotherapeutic drugs.
Members: Mark Dowling, Kim Pham, Jie Zhou, Ken Duffy (National University of Ireland)
Variation in the human immune system and its importance to disease
Our principles of cellular calculus and single cell behavior have been developed using model systems. We are asking whether the same principles operate for people and the quantitative methods we have developed could help stratify and screen for genetic deficiencies and susceptibilities. Importantly we aim to identify how multiple small quantitative changes in cellular circuits can add up to powerful immune disorders such as autoimmunity. Our first target is to examine Common Variable Immunodeficiency and move from there to more complex immune disorders.
Members: Vanessa Bryant, Su Heinzel and Charlotte Slade