- Total grants
- Total funders
- Total recipients
- Earliest award date
- 17 Oct 2005
- Latest award date
- 30 Sep 2018
- Total GBP grants
- Total GBP awarded
- Largest GBP award
- Smallest GBP award
- Total Non-GBP grants
The London Hub for Urban Health, Sustainability and Equity aims to be the world’s foremost transdisciplinary hub for research, training and pubic engagement on urban health. It is founded on two constituent projects – Complex Urban Systems for Sustainability and Health (CUSSH) and Pathways to Equitable Healthy Cities (PEHC) – and involves leading London-based institutions and their global network of collaborating institutions. The Hub’s principal objective is to integrate and coordinate research and stakeholder engagement that support evidence-based policies aimed at improving population health, health equity and environmental sustainability in cities around the world. The Hub, and its projects, will achieve this objective through comparative studies that involve participatory research and coproduction of knowledge among academic researchers, policy makers and practitioners, and civil society; developing models for prospective policy evaluation and applying these models to data from our partner cities; and training the next generation of research and policy leaders in urban health, while establishing the foundations for sustaining and expanding the Hub beyond the Wellcome funding period. The CUSSH project focuses on how to transform cities to address vital environmental and population health imperatives, and entails partnership with the cities of London, Beijing, Kisumu, Nairobi, Ningbo and Rennes.
The main aim of our research is to determine the differences in the lifespan and physiology of male and female Drosophila melanogaster in response to increased levels of sugar (sucrose) in the diet. Current human diets are detrimental to health and obesogenic. The health outcomes are dependent on the sex of the individual, however the molecular and physiological mechanisms are not understood. The results of our study will help establish a Drosophila model that can be used to understand how nutrition and sex interact, which might contribute to a healthier lifestyle choices in humans leading to healthy ageing. The effects of diet on lifespan and diet-induced obesity of the two sexes will be recorded, as well as the feeding behaviour using the proboscis extension assay and blue-food assay. Gut morphology/function will also be examined since the gut appears to underlie the different response of the sexes to increased dietary protein. In particular, we will focus on age-induced hyperplasia by determining the number of proliferating cells (stained with anti-phospho-Histone 3). We will also monitor gut function by assessing the leakiness of the gut using a blue food. Finally, statistical analysis using suitable regression models will be performed in R.
Dynamical modelling of somatic genomes 28 Nov 2017
Cancers are complex and chaotic systems. It is becoming apparent that no two cells in a cancer are genetically identical or follow the same evolutionary trajectory. Chromosomal instability (CIN) is one way that cells generate this complexity and is a hallmark of all cancer and ageing. In cancer, it increases the level of variation available to cells and gives rise to intra-tumour genetic hetereogeneity, which makes the disease more agressive, drug tolerant, and harder to treat. We are still far from a complete understanding of how cells undergoing CIN evolve over time, in particular, we do not know how populations of cancer cells evolve and how selection acts to change these properties. Understanding this normal evolutionary behaviour will be key to separating the functional and non-functional aspects of intra-tumour heterogeneity. We will tackle this problem by understanding cancer as an emergent complex system, and use simple dynamic stochastic models to capture the essential biological features of the processes underlying CIN, including chromosome gain and loss, structural change, and genome doubling. We will use the vast amount of NGS data already available to fit these models using Bayesian inference and infer the evolutionary aspects of CIN in healthy and cancerous tissues.
This proposed research intends to investigate the brain representation of complex, multilayered three-dimensional environments in free-roaming rodents by detecting electrical neuronal activities. With the assumption that the grid cell can form a lattice representation in a volumetric space, the main goal of this project is to test this hypothesis and construct more detailed mosaic neuronal models. From the previous experimental evidence, the grid cell plays a pivotal role in distance-measuring by forming a grid-like array on a flat surface, however, how this array is remodelled in vertical or tilled surface remains debatable. In this project, rats will be allowed to explore in a giant lattice model with options of climbing up or down, dwelling forwards or backwards while looking for rewards. The neuronal activities in rat's hippocampus will be collected, reconstructed into a 3D model. If the hypothesis is to be correct, the 3D cognition map is suggested to be a multiple evenly-spaced neuron filed distributed volumetrically (figure1, D and E). Otherwise, the field might be distributed in parallel columns vertical to the ground, as the extension of the 2D hexagonal array (figure 1, C).
Identification and Validation of the Determinants of Variation in T cell Immunity in Health and in Inherited Immunodeficiency Syndromes 30 Sep 2018
Vaccination is a powerful strategy to prevent infectious diseases, by stimulating our immune system to produce antibodies. However, vaccines have not been as successful in boosting immunity against infections that require a different defence called T-cells. This problem is exemplified by tuberculosis, which causes more deaths than any other infection despite the use of the Bacillus Calmette-Guérin (BCG) vaccine, because the protection provided by BCG is variable. I aim to understand why BCG only works in some people. I will investigate the idea that differences in T-cell activation in different people are responsible for differences in the protective effects of BCG. In healthy individuals, I will test T-cell activation in response to a general stimulus. Using these data, I will develop a mathematical model to understand how variation in T-cell responses comes about. I will then In BCG-vaccinate the same individuals and test if my model explains all the variability in responses to BCG and in T-cell control of tuberculosis. These experiments may reveal the molecular switches that are responsible for differences in BCG efficacy. By testing cells from patients with genetic abnormalities in some of these molecules, I will validate their role in providing effective T-cell immunity.
The loss of protein homeostasis (proteostasis) is associated with many age-associated diseases, most notably Alzheimer’s disease, Parkinson’s disease, and Huntington’s disease. Despite this, the factors that control the vulnerability of cells to proteostasis collapse with age are poorly understood. Using the nematode worm Caenorhabditis elegans as a model system, we have identified the highly conserved gene mtch-1, as a new proteostasis regulator. mtch-1 encodes a mitochondrial outer membrane protein of unknown function, the knockdown of which, enhances resistance to environmental stress, maintains cytosolic proteostasis with age, and extends lifespan. However, it is unknown how these beneficial effects are mediated. This project will determine which protein quality control (PQC) components are necessary for mtch-1 to influence protein aggregation. We will use fluorescent reporters to determine the effects of mtch-1 on the activity of PQC pathways, and perform an RNA interference screen of known PQC components to determine which, if any, are necessary for the loss of mtch-1 to suppress protein aggregation. These experiments will allow us to build a picture of the previously unexplored link between mtch-1 and changes in cytosolic proteostasis with age, thereby highlighting a new aspect of PQC that could be manipulated to promote long-term health.
Our work focusses on new genetic mechanisms affecting human adrenal and reproductive function. We have recently described a multisystem growth restriction disorder caused by gain-of-function of SAMD9, where somatic adaptation can modify phenotype and mask detection of the genotype. In parallel, we developed a transcriptomic atlas of human adrenal and gonad development, mapping out sex-specific effects of organogenesis. We now plan to develop these insights to address several related fundamental questions: 1) How extensive is SAMD9 variability in endocrine and growth phenotypes and does dynamic somatic adaptation play a wider role in human disease mechanisms; 2) What are the dynamic roles of sex chromosomes and sex hormones in development (focussing on brain, adrenal gland and genital tubercle), and how does genetic variability of the X-chromosome contribute to phenotype in Turner syndrome (45,X); 3) Can we apply these concepts to discover new genetic mechanisms underlying adrenal and reproductive disorders. This work would provide novel disease models and approaches to analysis, could link the dynamics of development and sex-differences to common conditions (e.g. neurodevelopment, stress, early-onset hypertension), and would continue to elucidate the causes of human adrenal and reproductive disorders, with important implications for personalised management and development of new therapies.
Investigation of the structural and conformational preferences of ribosome-bound nascent chains using NMR paramagnetic relaxation enhancement measurements 31 May 2018
Co-translational folding is best studied by providing high-resolution structural descriptions of nascent polypeptides (NCs) as they emerge from the ribosome. This is achieved by producing snapshots of the process using ribosome-associated-nascent chains(RNCs) and developing 3D structural models by combining NMR spectroscopy as experimental restraints within MD simulations. The emerging NC is a dynamic entity that searches conformational space in its quest for acquiring its correct structure; it undergoes both transient interactions with itself and the external surface of its ribosome. This Scholarship aims to develop novel distance-based, PRE (paramagnetic-relaxation-enhancement) NMR measurements of RNCs to evaluate these transient processes. Over 8 weeks, this project will enable us to develop strategies to selectively label RNCs with the MTSL "spin-labels" at a single cysteine site, by adapting well-established RNC technology. We will study two RNCs "snapshots" which capture early folding transition for an immunoglobulin protein. We will characterise the structural properties of the modified RNCs using 2D NMR spectroscopy, and quantitate possible transient interactions/compaction events by collecting PRE measurements. We will also initiate MD simulations with the new experimental restraints that have been acquired. These approaches will advance our current 3D structural models to dissect further molecular details of co-translational protein folding.
Integrated interdisciplinary approaches to design new anti-bacterials with novel mechanisms of action to tackle antimicrobial resistance in Tuberculosis 30 Sep 2018
Tuberculosis (TB) remains a serious threat to global health. The World Health Organisation estimate that 10.4 million new cases were contracted in 2015, and that over 500,000 of those cases were resistant to at least one of the antibiotics currently used to treat this condition. The spread of such resistance is a serious concern and as a result there is a need for the development of new drugs to combat TB. Recent work has identified two classes of molecule which have promising anti-tubercular properties: tetrahydroisoquinolines and non-steroidal anti-inflammatory drugs. My project will focus on the development of new anti-bacterials from these classes of molecule while exploring the reasons behind their anti-tubercular properties. This will be achieved through a combination of chemistry and molecular microbiology, making use of both laboratory and computational techniques.
Lung cancer is the second most commonly diagnosed cancer in the UK and the greatest cause of cancer-related death. A type of this disease called non-small cell lung cancer (NSCLC) accounts for the majority (85%) of cases. T-lymphocyte cells (T-cells) of the immune system patrol the body and can recognise and destroy cancer cells by recognising mutated proteins (neoantigens) on them. Despite this, the majority of patients with advanced lung cancer die of the disease, indicating the ineffective function of the immune system. In particular, little is known about the role of a particular group of immune cells called T-helper cells that are thought to be important. In chronic infections where T-cells are constantly exposed to their targets, they become less responsive as younger cells are driven to turn into later ones more rapidly. As younger cells are lost, the body's ability to fight the infection reduces. In cancer, it is possible that mutations drive a similar problem. Using lung cancer specimens from patients on a clinical trial and animal models of cancer, we propose to study the question of whether and how mutations can paralyse the ability of T-helper cells to fight the disease.
Placental insufficiency underlies the major obstetric syndromes of fetal growth restriction (FGR) and pre-eclampsia and accounts for one third of stillbirths in high-income countries. There is an unmet clinical need for a method to properly characterise placental perfusion and determine if and when a placenta is likely to fail. The objective of this work is to develop an imaging method to assess placental function in complicated pregnancy. This work will help us to better understand placenta function in FGR. This project will compare placenta properties from appropriately developing and early-onset growth-restricted pregnancies to understand the differences in the appearance of the placenta in FGR. The key goals of this work are to assess a novel Magnetic Resonance (MR) Imaging method to measure fetal and maternal placental perfusion. This technique describes an MR signal that models the blood flow properties as they change between the maternal and fetal sides of the placenta. to link this to relevant clinical information including clinical ultrasound markers and fetal MRI. to use these results to establish a comprehensive imaging project for the placenta by providing an in vivo measurement of placenta function to complement information from ultrasound imaging and ex utero microCT.
UCL/WT Translational Partnership 2018 - Widening Participation and Enhancing Translational Culture 30 Sep 2018
The biomedical translational strategy of UCL and its partner hospitals is based upon harnessing the wealth of talent and ideas across disciplines to make a difference to patients and their families. The WT Translational Partnership Award supports the pursuit of excellence in the universities tripartite mission "Research, Education and Innovation" and will enhance the knowledge, culture and support available for translation: • Provide funding to develop pilot data enabling progression of projects to our internal Therapeutic Acceleration Fund. Aimed at encouraging Early Career Scientists to take the first step along the translational pathway (RESEARCH) • Enable a greater understanding of translation amongst early career researchers through a mixture of on-line training material and workshops (EDUCATION) • Supporting our Therapeutic Innovation Networks (TINs) in small molecule, biologics, cell, gene & regenerative medicine, devices, diagnostics and repurposing. These "early discovery therapeutic accelerators" will identify and address barriers encountered, share knowledge/best practice and use Industry expertise to progress specific projects (INNOVATION)
The project would involve behavioural and histopathological studies of a mouse model of Alzheimer's Disease. The transgenic mouse, Amyloid Precursor Protein Knock-In (APP-KI) expresses human-like amyloid plaques in the absence of other APP fragments and, hence, represents the best APP model currently available. They will be injected with tau, in order to mimic the combination of pathological changes that occur in human Alzheimer's-disease-affected brains. The main goals of the project involve establishing the exact time-course over which the Alzheimer's-like phenotype develops, correlating the number of human-like amyloid plaques with the extent of the memory deficit in the APP-KI mice with and without tau, and finally establishing whether there is any underlying neuronal cell death in the tau-injected mice. The first four weeks of the project would involve a battery of behavioural tests to include Open Field activity, Novel Object Recognition, Object Location and spatial T-maze testing in order to identify behavioural changes/memory deficits in the APP-KI and the APP-KI + tau animals when compared to wild type litter-mates. Afterwards the animals would be sacrificed, their brains removed and sectioned. The brain sections would be stained and histopathological changes (e.g. amyloid plaque volume and tau filaments) correlated with behavioural changes.
Investigating prevention of cervical cancer, disease burden, and opportunities for improvement in inclusion health women (IHW) 30 Sep 2018
Cervical cancer is preventable due to screening and vaccination against human papillomavirus (HPV), the main cause of cervical cancer. However, there were 3,224 new cases and 890 deaths in the UK in 2014. By 2035, this is predicted to rise by 43% due to screening non-attendance. Living in a deprived area increases cervical cancer rates and non-attendance at screening. Inclusion health addresses needs of groups frequently underserved by health services who have worse overall health than people in deprived areas. These include homeless people, migrants, substance misusers, prisoners, and sex workers. It is likely that they engage the least with cervical cancer prevention and have the greatest need for intervention. Unfortunately, they are rarely included in cervical cancer prevention research. This fellowship will fill this knowledge gap. I will measure disease levels, engagement in prevention, and find ways to improve outcomes in inclusion health women. This is needed to eliminate cervical cancer. I will achieve this in three ways: (1) a review of existing studies on inclusion health and cervical cancer (2) a study linking information on 1.6 million migrants to cervical screening and vaccination data and (3) a survey and HPV testing of inclusion health women attending outreach services.
Inhibition in the Periaqueductal Gray 30 Sep 2018
Deciding which action to take, such as whether to cross a busy road, is a critical survival skill. Making decisions requires integrating complex information and identifying the cellular mechanisms of this process is critical for understanding how the brain computes decisions. In this project will investigate neurons that control defensive decisions in mice and focus on inhibitory neurons in the midbrain Periaqueductal Grey (PAG), which have the ability to veto defensive behaviours.The first main goal of the project is to use electrophysiological and advanced molecular techniques, such as RNA sequencing and gene knock-down, to identify the genes and ion channels that control the firing of PAG inhibitory neurons. The second goal is to determine key regulators of the activity of these neurons, in particular neuromodulators and long-range synaptic connections from other brain areas, using techniques such as optogenetics in combination with behavioural assays that exploit the innate defensive behaviours of mice. The results of this work will reveal new the biophysical principles that drive firing in a key population controlling a critical behavioural decision, and provide an entry point for understanding how pathological states such as anxiety lead to maladaptive decisions.
The overall goal of this proposal is to build a neural-level understanding of how non-local cortico-hippocampal communication mediates memory consolidation and spatial computations. The well-studied network of spatially modulated neurons in the hippocampus and associated regions provides the pre-eminent cellular-model of memory for events and places. However, the activity of these neurons mainly encodes local information, that is, the current configuration of an animal in its environment. Work conducted by us, and others, have identified transient reactivations of hippocampal neurons and cortical counterparts as a key mechanism supporting systems consolidation and spatial planning. These brief ‘non-local’ events provide a means by which remembered experiences can gradually update memory networks, equally they are theorised to support the calculations necessary for route planning. Our aims are: 1) to understand how hippocampus and cortex interacts during reactivations; 2) determine how reactivated information affects existing representations; 3) precisely define the spatial computations that guide navigation; 4) investigate how neuromodulation controls the occurrence of reactivations. To this end, our approach is to combine computational modelling, machine learning, and state-of-the-art experimental techniques. Developing a basic understanding of these processes opens the way to understand how they fail in disease and may ultimately deliver tremendous therapeutic benefits.
Cellular calcium signalling is a ubiquitous and fundamental mechanism driving many processes in cell physiology. However it carries a significant energetic cost: calcium that enters the cytosol must be removed or sequestered by ATPases. In this project we propose to explore the mechanisms involved in maintaining energetic homeostasis in the face of this energy demand. The transfer of calcium signals to mitochondria is thought to support energy production, as it upregulates the rate limiting enzymes of the TCA cycle, increasing the rate of ATP production, although extrusion of calcium from the mitochondria also carries an energetic cost. The recent development of new targeted fluorescent reporters allows detailed exploration of compartmental ATP generation, making these questions accessible. We will therefore use fluorescence microscopy and imaging of a novel mitochondrial targeted ATP reporter to measure changes in cytosolic and mitochondrial ATP in response to changes in cytosolic and/or mitochondrial calcium signals to address these fundamental questions in cell biology. It is important to understand the fundamental mechanisms of cellular energy homeostasis so that we can better understand how mitochondrial dysfunction, associated with many disease states, undermines the ability to match energy demand with energy production.
The role of E2F targets in oncogene-induced replication stress tolerance as potential new targets for cancer therapy 31 May 2018
In human cells, deregulated G1/S transcription, the transcriptional wave that commits cells to the cell cycle, is at the basis of many cancers and it is governed by the transcription factor E2F2. Oncogenes such as c-myc, deregulate G1/S transcription leading to uncontrolled cellular proliferation. We will induce expression of the oncogene c-myc in epithelial human cells, that directly leads to the increase in levels of E2F transcription. Unscheduled S-phase entry leads to replication stress and DNA damage, and thus genomic instability, which may lead to cell death or drive cancer initiation if the DNA damage repair is impaired. Paradoxically, this increased E2F-dependent transcription provides also a mechanism for replication stress tolerance to protect cells from catastrophic genomic instability. Some cancers have very high levels of replication stress, and by understanding how these cells are able to tolerate such high levels, we may be able to target these buffers for new cancer therapeutics. A large scale screen is being performed in the lab to identify these targets. I will investigate the role of one of these targets. Preliminary work in the lab and previous work in yeast suggests that the Smc5/6 complex may be such a candidate for oncogene-induced tolerance.
Computational biology aims to answer some of biology’s most complex questions using computational and statistical methods. The field has successfully identified genes involved in disease and has helped to discover drugs for their treatment. My PhD research takes this approach to understand the processes by which we age. Aging is a complex disease — characterised by the progressive loss of function in an organism over time — with huge social and financial cost. Faced with an aging population, breakthroughs in this area are desperately needed. I am attempting to do this using data collected from experiments that measure the lifespan of yeast in different environmental conditions. Whilst we are only distantly related to yeast, it is a useful model of human aging as it shares many cellular processes, but lives for a fraction of the time. Ultimately, I aim to use these data to predict the genes that cause yeast to age. Whilst a handful of aging genes have been identified, more genes are likely to contribute. I use networks and machine learning approaches to make my predictions. Going forward, these will help to deepen our understanding of aging and aid the development of treatments to eventually cure this disease.