
Agilent Technologies (United Kingdom)
Agilent Technologies (United Kingdom)
Funder
35 Projects, page 1 of 7
assignment_turned_in Project2023 - 2024Partners:Agilent Technologies (United Kingdom), University of Edinburgh, Agilent Technologies (United Kingdom)Agilent Technologies (United Kingdom),University of Edinburgh,Agilent Technologies (United Kingdom)Funder: UK Research and Innovation Project Code: BB/W020270/1Funder Contribution: 526,255 GBPWe request an Agilent 6560C ion mobility mass spectrometer to accelerate our engineering biology platform. Industry globally is moving over to the use of bio-based and renewable sources for chemicals, such as plastics, detergents, dyes and medicines. Engineering biology is the term given to modifications of cells that can be our 'factories of the future'. It allows researchers to select or modify the ordinary chemical processes that the cells perform and provide them with new ones. In the case of mammalian cells such as the archetypical Chinese Hamster Ovary cells, synthetic biologists can produce extremely valuable protein medicines such as anti-cancer agents, vaccines and treatments for rare diseases. While our expert teams at UoE now have powerful automated systems for modifying mammalian cells, we struggle to test them to see how well they work and how good (and safe) the products are. Currently assessment of product quality is performed by simply measuring the yield of the products, and does not fully determine the structures or the modifications common to these proteins that can be responsible for safety and efficacy. Full product quality assessment must be done by multiple complex structural and chemical methods housed in multiple facilities. This means that we cannot optimise the engineering biology platform as well as we should be able to within the rapid turnaround times required by industry and modern academic research. The Agilent 6560C is an instrument that can characterise the product quality of high value proteins. With this system, we can 'close the loop' of engineering biology, and by using rapid testing, refine our engineered cells to make safer and better products. By adding this capability to EdinOmics and the portfolio of support facilities at the University of Edinburgh, we will provide world leading researchers into new medicines with the technology to take an idea for a new drug through early stage genetic engineering (via the Edinburgh Genome Foundry), through early stage production of a new medicine (via the Edinburgh Protein Production Facility) to testing of that medicine for quality (via this new instrument). Production of such highly polished early stage medicines can accelerate their uptake for clinical trials and hence medical use.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::6e9e68261b2ccec48927082797d18805&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::6e9e68261b2ccec48927082797d18805&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euassignment_turned_in Project2011 - 2011Partners:Agilent Technologies (United Kingdom), University of Otago, University of Otago, University of Edinburgh, Agilent Technologies (United Kingdom)Agilent Technologies (United Kingdom),University of Otago,University of Otago,University of Edinburgh,Agilent Technologies (United Kingdom)Funder: UK Research and Innovation Project Code: BB/I02528X/1Funder Contribution: 9,947 GBPUnited Kingdom
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::ade30db931b8d7523da46bea1df3f7e5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::ade30db931b8d7523da46bea1df3f7e5&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euassignment_turned_in Project2018 - 2018Partners:Imperial College London, Agilent Technologies (United Kingdom), Novartis Pharma AG, Agilent Technologies (United Kingdom), NOVARTISImperial College London,Agilent Technologies (United Kingdom),Novartis Pharma AG,Agilent Technologies (United Kingdom),NOVARTISFunder: UK Research and Innovation Project Code: EP/S001603/1Funder Contribution: 597,878 GBPCancer is the leading cause of death in developed countries and there is a major desire to pivot towards preventative rather than curative based medicine. Currently, effective treatment heavily relies on early stage detection and an accurate diagnosis of the cancer through molecular profiling. Liver cancer is the third most common cause of death due to cancer and has a global incidence of 1 million new cases annually. The prognosis for patients is poor and even worse in resource-poor settings such as sub-Saharan Africa, and Central and Far-East Asia. For example, liver cancer, linked to hepatitis B infection, currently kills nearly four times as many people as HIV/AIDS in Africa, however early detection could have a significant impact on survival rates. In both the developed and developing world, there is a critical need for new tools and technology for the routine detection and diagnosis of cancer and diseases in general. The goal of this project is to develop a handheld device that can detect biomarkers in urine that will be able to diagnose liver cancer at the point-of-care. It will be assessed using validated patient urine samples. The technology upon which this is based is high performance liquid chromatography (HPLC). Like how a glass prism separates white light into its component colours, HPLC separates a liquid into its component analytes. HPLC is a gold standard analytical technique crucial to many industries worldwide in its ability to separate and identify chemicals in a complex mixture. HPLC is ideally suited to detecting and quantifying biomarkers in urine; however, it is not currently portable or suited to point-of-care analyses due to its size, cost and complexity. As part of this project, we will miniaturise the technology to a handheld device. Point-of-care or on-site HPLC analysis would provide results that could be acted on within minutes that otherwise would take weeks. Due to the crisis in healthcare provision, such technology would ideally be suited to monitoring any individual, not only patients, in the home in order to realise the vision of next generation precision healthcare. Such a device has the potential to monitor us on a daily basis and act as an early warning system for doctors. Such person-specific molecular data may be used to detect or even predict the onset of disease."
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For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::d8f83edcd7cfc6c58e917fc9cf0d6322&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euassignment_turned_in Project2018 - 2020Partners:KCL, Agilent Technologies (United Kingdom), NOVARTIS, Novartis Pharma AG, Agilent Technologies (United Kingdom)KCL,Agilent Technologies (United Kingdom),NOVARTIS,Novartis Pharma AG,Agilent Technologies (United Kingdom)Funder: UK Research and Innovation Project Code: EP/S001603/2Funder Contribution: 573,939 GBPCancer is the leading cause of death in developed countries and there is a major desire to pivot towards preventative rather than curative based medicine. Currently, effective treatment heavily relies on early stage detection and an accurate diagnosis of the cancer through molecular profiling. Liver cancer is the third most common cause of death due to cancer and has a global incidence of 1 million new cases annually. The prognosis for patients is poor and even worse in resource-poor settings such as sub-Saharan Africa, and Central and Far-East Asia. For example, liver cancer, linked to hepatitis B infection, currently kills nearly four times as many people as HIV/AIDS in Africa, however early detection could have a significant impact on survival rates. In both the developed and developing world, there is a critical need for new tools and technology for the routine detection and diagnosis of cancer and diseases in general. The goal of this project is to develop a handheld device that can detect biomarkers in urine that will be able to diagnose liver cancer at the point-of-care. It will be assessed using validated patient urine samples. The technology upon which this is based is high performance liquid chromatography (HPLC). Like how a glass prism separates white light into its component colours, HPLC separates a liquid into its component analytes. HPLC is a gold standard analytical technique crucial to many industries worldwide in its ability to separate and identify chemicals in a complex mixture. HPLC is ideally suited to detecting and quantifying biomarkers in urine; however, it is not currently portable or suited to point-of-care analyses due to its size, cost and complexity. As part of this project, we will miniaturise the technology to a handheld device. Point-of-care or on-site HPLC analysis would provide results that could be acted on within minutes that otherwise would take weeks. Due to the crisis in healthcare provision, such technology would ideally be suited to monitoring any individual, not only patients, in the home in order to realise the vision of next generation precision healthcare. Such a device has the potential to monitor us on a daily basis and act as an early warning system for doctors. Such person-specific molecular data may be used to detect or even predict the onset of disease."
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::e79cd4c448224b6d4c7147014727413d&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::e79cd4c448224b6d4c7147014727413d&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euassignment_turned_in Project2020 - 2022Partners:Agilent Technologies (United Kingdom), Novartis Pharma AG, Agilent Technologies (United Kingdom), NOVARTIS, Imperial College LondonAgilent Technologies (United Kingdom),Novartis Pharma AG,Agilent Technologies (United Kingdom),NOVARTIS,Imperial College LondonFunder: UK Research and Innovation Project Code: EP/S001603/3Funder Contribution: 281,126 GBPCancer is the leading cause of death in developed countries and there is a major desire to pivot towards preventative rather than curative based medicine. Currently, effective treatment heavily relies on early stage detection and an accurate diagnosis of the cancer through molecular profiling. Liver cancer is the third most common cause of death due to cancer and has a global incidence of 1 million new cases annually. The prognosis for patients is poor and even worse in resource-poor settings such as sub-Saharan Africa, and Central and Far-East Asia. For example, liver cancer, linked to hepatitis B infection, currently kills nearly four times as many people as HIV/AIDS in Africa, however early detection could have a significant impact on survival rates. In both the developed and developing world, there is a critical need for new tools and technology for the routine detection and diagnosis of cancer and diseases in general. The goal of this project is to develop a handheld device that can detect biomarkers in urine that will be able to diagnose liver cancer at the point-of-care. It will be assessed using validated patient urine samples. The technology upon which this is based is high performance liquid chromatography (HPLC). Like how a glass prism separates white light into its component colours, HPLC separates a liquid into its component analytes. HPLC is a gold standard analytical technique crucial to many industries worldwide in its ability to separate and identify chemicals in a complex mixture. HPLC is ideally suited to detecting and quantifying biomarkers in urine; however, it is not currently portable or suited to point-of-care analyses due to its size, cost and complexity. As part of this project, we will miniaturise the technology to a handheld device. Point-of-care or on-site HPLC analysis would provide results that could be acted on within minutes that otherwise would take weeks. Due to the crisis in healthcare provision, such technology would ideally be suited to monitoring any individual, not only patients, in the home in order to realise the vision of next generation precision healthcare. Such a device has the potential to monitor us on a daily basis and act as an early warning system for doctors. Such person-specific molecular data may be used to detect or even predict the onset of disease."
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=ukri________::b3e4e3bd99f2079704d14d9e215c1705&type=result"></script>'); --> </script>
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