Chemical biology tools for investigating the chemistry of cellular REDOX stress
Lead Research Organisation:
University of Oxford
Department Name: Oxford Chemistry
Abstract
Changes in the environment inside cells can be considered as alterations in cellular chemistry. The cellular environment can be thought to span a spectrum between reducing conditions (often characterised by a lack of oxygen, and the presence of chemicals that contain hydrogen) and oxidising conditions (often characterised by the presence of oxygen and reactive oxygen-containing species). The spectrum of REDucing to OXidising environment is known as REDOX chemistry. The REDOX environment in the cell results from external stimuli, and affects the function of the cell. Consequently, the REDOX environment can give rise to cellular changes that result in diseases. In this work, we propose that the reverse is also true - that the REDOX state of a cell at a given time will provide predictive information on the fate of a particular cell. Therefore, if it were possible to gain a global picture of the cellular REDOX state, this would be a revolutionary way of predicting cell fate, and hence treating disease. For this new technique to work we need a range of molecular tools that tell us about a given component of the REDOX state at any given time. The aim of our work is to develop and validate tools that detect the intracellular molecules that affect the cellular REDOX state, and provide imaging feedback on that state. By combing the feedback from several of these molecular tools we can infer information on the overall REDOX state. To achieve this aim we have assembled a team of people with the wide range of skills required to make the proposed molecular tools. Our team includes synthetic inorganic and organic chemists, people skilled in a range of imaging techniques, and biological scientists who will be able to apply the molecular tools that we will make. Only by combining the skills of everybody in our team will we be able to achieve the aims of this ambitious, but potentially revolutionary, programme of research.
Planned Impact
Economic and societal impacts
The University of Oxford and King's College London will benefit from revenues generated by licences of IP arising from the proposed research, and from revenues generated by spin-out companies based on this work. 3-10 years.
Farmers, food producers and consumers will benefit from an increased understanding of REDOX stress in plants, which has the potential to improve food security and crop yield. REDOX stress in plants is particularly associated with flooding, which is becoming more prevalent due to climate change and has the greatest impact in developing countries. 5 years onwards.
Clinicians treating patients with REDOX-related diseases, and the patients themselves, will benefit from earlier and improved diagnosis. For example, for stroke patients, the tools might be used to determine the location and severity of the stroke in a timely manner. These advances will result in more effective treatment strategies being identified earlier, and consequently reduced costs to the NHS. In addition, the NHS will potentially benefit from shorter patient stays in hospital. 10-20 years.
The UK tax payer and Government will benefit from reduced costs for the NHS. The formation of a spin out company/ies will benefit both the local and national economy. The interaction of this company with global pharmaceutical companies will further benefit the national economy. 10-20 years.
Pharmaceutical companies are likely to be be significant beneficiaries of this work, and our industrial collaborators will provide guidance to ensure our work has maximum industrial relevance. One of the major goals of our future spin out companies will be to provide pharmaceutical companies with practically and economically viable options for patient stratification within clinical testing of new agents/combinations. The use of REDOX sensors could also potentially reposition cancer chemotherapies that have previously failed in clinical trials. 5-10 years.
Health care impact
Clinicians treating patients with diseases that involve REDOX stress, and the patients themselves (e.g. cancer, cardiovascular disease and stroke). Once established, our technology will provide a revolutionary method for the diagnosis of disease. Ultimately, we envisage that this technology will provide a signature for a given disease state. This signature will provide guidance on the type of drugs that should be used to treat the disease. Therefore, this methodology has the potential to expedite the process of selecting appropriate treatment for a disease. Specific examples of benefit to both clinicians and patients include: Tools that allow early diagnosis of diseases, which will include tools to undertake MRI and PET imaging in cardiovascular disease; New MR-based imaging methods for better evaluating key elements of the brain microenvironment that can influence therapeutic efficacy; The ability to map reactive oxygen species in many disease settings that are currently unstudied, will enable the development of new therapeutics and methods of treatment; Using the REDOX sensors as a companion diagnostic, we will be able to determine which drugs will be most effective for a given patient and perhaps avoid those likely to have the most detrimental side effects i.e. more personalised and therefore effective therapy. 10-20 years.
Public engagement
School children and the general public will benefit from 2-way engagement as well as learning opportunities giving a greater understanding of our work and science and medicine. We regularly engage with senior school age children therefore inspiring the uptake of STEM subjects pre-GCSE. Researchers on the Programme will benefit from training in and experience of communicating their work to school children and the general public. The Universities of Oxford and King's College London will benefit from the public engagement materials/activities that we will generate throughout the course of the Programme. 1-5 years.
The University of Oxford and King's College London will benefit from revenues generated by licences of IP arising from the proposed research, and from revenues generated by spin-out companies based on this work. 3-10 years.
Farmers, food producers and consumers will benefit from an increased understanding of REDOX stress in plants, which has the potential to improve food security and crop yield. REDOX stress in plants is particularly associated with flooding, which is becoming more prevalent due to climate change and has the greatest impact in developing countries. 5 years onwards.
Clinicians treating patients with REDOX-related diseases, and the patients themselves, will benefit from earlier and improved diagnosis. For example, for stroke patients, the tools might be used to determine the location and severity of the stroke in a timely manner. These advances will result in more effective treatment strategies being identified earlier, and consequently reduced costs to the NHS. In addition, the NHS will potentially benefit from shorter patient stays in hospital. 10-20 years.
The UK tax payer and Government will benefit from reduced costs for the NHS. The formation of a spin out company/ies will benefit both the local and national economy. The interaction of this company with global pharmaceutical companies will further benefit the national economy. 10-20 years.
Pharmaceutical companies are likely to be be significant beneficiaries of this work, and our industrial collaborators will provide guidance to ensure our work has maximum industrial relevance. One of the major goals of our future spin out companies will be to provide pharmaceutical companies with practically and economically viable options for patient stratification within clinical testing of new agents/combinations. The use of REDOX sensors could also potentially reposition cancer chemotherapies that have previously failed in clinical trials. 5-10 years.
Health care impact
Clinicians treating patients with diseases that involve REDOX stress, and the patients themselves (e.g. cancer, cardiovascular disease and stroke). Once established, our technology will provide a revolutionary method for the diagnosis of disease. Ultimately, we envisage that this technology will provide a signature for a given disease state. This signature will provide guidance on the type of drugs that should be used to treat the disease. Therefore, this methodology has the potential to expedite the process of selecting appropriate treatment for a disease. Specific examples of benefit to both clinicians and patients include: Tools that allow early diagnosis of diseases, which will include tools to undertake MRI and PET imaging in cardiovascular disease; New MR-based imaging methods for better evaluating key elements of the brain microenvironment that can influence therapeutic efficacy; The ability to map reactive oxygen species in many disease settings that are currently unstudied, will enable the development of new therapeutics and methods of treatment; Using the REDOX sensors as a companion diagnostic, we will be able to determine which drugs will be most effective for a given patient and perhaps avoid those likely to have the most detrimental side effects i.e. more personalised and therefore effective therapy. 10-20 years.
Public engagement
School children and the general public will benefit from 2-way engagement as well as learning opportunities giving a greater understanding of our work and science and medicine. We regularly engage with senior school age children therefore inspiring the uptake of STEM subjects pre-GCSE. Researchers on the Programme will benefit from training in and experience of communicating their work to school children and the general public. The Universities of Oxford and King's College London will benefit from the public engagement materials/activities that we will generate throughout the course of the Programme. 1-5 years.
Publications
Akter S
(2021)
Measuring ROS and redox markers in plant cells.
in RSC chemical biology
Blower JE
(2021)
The Hantzsch reaction for nitrogen-13 PET: preparation of [13N]nifedipine and derivatives.
in Chemical communications (Cambridge, England)
Bolland H
(2021)
Links between the unfolded protein response and the DNA damage response in hypoxia: a systematic review.
in Biochemical Society transactions
Bolland HR
(2022)
A fluorescent probe strategy for the detection and discrimination of hydrogen peroxide and peroxynitrite in cells.
in Chemical communications (Cambridge, England)
Boulet MHC
(2023)
Oxali(IV)Fluors: Fluorescence Responsive Oxaliplatin(IV) Complexes Identify a Hypoxia-Dependent Reduction in Cancer Cells.
in Journal of the American Chemical Society
Bowler E
(2020)
Pharmacological Inhibition of ATR Can Block Autophagy through an ATR-Independent Mechanism.
in iScience
Brand M
(2021)
Controlling Intramolecular Interactions in the Design of Selective, High-Affinity Ligands for the CREBBP Bromodomain.
in Journal of medicinal chemistry
Calder E
(2020)
Hypoxia-activated pro-drugs of the KDAC inhibitor vorinostat (SAHA)
in Tetrahedron
| Description | We are developing molecular tools that will help us measure the amounts of hypoxia, oxygen, or reactive species (ROS, RNS) in cells. We have used and analysed these probes in cancer cells and ex vivo models of heart ischemia. |
| Exploitation Route | The tools that we are developing will be of wide use to biomedical scientists studying cell functions and disease. Some of the tools will be useful to clinicians studying and treating conditions including cancer and cardiovascular diseases. |
| Sectors | Pharmaceuticals and Medical Biotechnology |
| Description | We used anonymisation in our shortlisting of the post-docs employed on this award. The experience and information that we gained was transferred to the Chemistry in Cells PhD Programme (funded by the Wellcome Trust). Since this has been trialled with the whole Mathematical, Physical, and Life Sciences Doctoral Training Centre at Oxford, aspects of our innovative recruitment processes have been rolled out across other Divisions in the University. Notably, the standardised CV template is now used for all graduate admissions, the use of Socioeconomic Data (SED) to contextualise and improve graduate access. |
| First Year Of Impact | 2019 |
| Sector | Other |
| Impact Types | Cultural |
| Title | CCDC 1846451: Experimental Crystal Structure Determination |
| Description | Related Article: Jaclyn L. Lange, Patrick R. W. J. Davey, Michelle T. Ma, Jonathan M. White, Alfred Morgenstern, Frank Bruchertseifer, Philip J. Blower, Brett M. Paterson|2020|Dalton Trans.|49|14962|doi:10.1039/D0DT02673E |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1zzcy8&sid=DataCite |
| Title | CCDC 1846452: Experimental Crystal Structure Determination |
| Description | Related Article: Jaclyn L. Lange, Patrick R. W. J. Davey, Michelle T. Ma, Jonathan M. White, Alfred Morgenstern, Frank Bruchertseifer, Philip J. Blower, Brett M. Paterson|2020|Dalton Trans.|49|14962|doi:10.1039/D0DT02673E |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1zzcz9&sid=DataCite |
| Title | CCDC 1846453: Experimental Crystal Structure Determination |
| Description | Related Article: Jaclyn L. Lange, Patrick R. W. J. Davey, Michelle T. Ma, Jonathan M. White, Alfred Morgenstern, Frank Bruchertseifer, Philip J. Blower, Brett M. Paterson|2020|Dalton Trans.|49|14962|doi:10.1039/D0DT02673E |
| Type Of Material | Database/Collection of data |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc1zzd0c&sid=DataCite |
| Title | CCDC 1960280: Experimental Crystal Structure Determination |
| Description | Related Article: Kezi Yao, Gogulan Karunanithy, Alison Howarth, Philip Holdship, Amber L. Thompson, Kirsten E. Christensen, Andrew J. Baldwin, Stephen Faulkner, Nicola J. Farrer|2021|Dalton Trans.|50|8761|doi:10.1039/D1DT01688A |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc23stvl&sid=DataCite |
| Title | CCDC 1993652: Experimental Crystal Structure Determination |
| Description | Related Article: Michael Brand, James Clayton, Mustafa Moroglu, Matthias Schiedel, Sarah Picaud, Joseph P. Bluck, Anna Skwarska, Hannah Bolland, Anthony K. N. Chan, Corentine M. C. Laurin, Amy R. Scorah, Larissa See, Timothy P. C. Rooney, Katrina H. Andrews, Oleg Fedorov, Gabriella Perell, Prakriti Kalra, Kayla B. Vinh, Wilian A. Cortopassi, Pascal Heitel, Kirsten E. Christensen, Richard I. Cooper, Robert S. Paton, William C. K. Pomerantz, Philip C. Biggin, Ester M. Hammond, Panagis Filippakopoulos, Stuart J. Conway|2021|J. Med. Chem. Sci.|64|10102|doi:10.1021/acs.jmedchem.1c00348 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc24xkc0&sid=DataCite |
| Title | CCDC 1993653: Experimental Crystal Structure Determination |
| Description | Related Article: Michael Brand, James Clayton, Mustafa Moroglu, Matthias Schiedel, Sarah Picaud, Joseph P. Bluck, Anna Skwarska, Hannah Bolland, Anthony K. N. Chan, Corentine M. C. Laurin, Amy R. Scorah, Larissa See, Timothy P. C. Rooney, Katrina H. Andrews, Oleg Fedorov, Gabriella Perell, Prakriti Kalra, Kayla B. Vinh, Wilian A. Cortopassi, Pascal Heitel, Kirsten E. Christensen, Richard I. Cooper, Robert S. Paton, William C. K. Pomerantz, Philip C. Biggin, Ester M. Hammond, Panagis Filippakopoulos, Stuart J. Conway|2021|J. Med. Chem. Sci.|64|10102|doi:10.1021/acs.jmedchem.1c00348 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2021 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc24xkd1&sid=DataCite |
| Title | CCDC 2112628: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Andrew J. P. White, Thomas R. Eykyn, Michelle T. Ma, Philip W. Miller, Nicholas J. Long|2022|Inorg.Chem.|61|8000|doi:10.1021/acs.inorgchem.2c00693 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc28xc9w&sid=DataCite |
| Title | CCDC 2112629: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Andrew J. P. White, Thomas R. Eykyn, Michelle T. Ma, Philip W. Miller, Nicholas J. Long|2022|Inorg.Chem.|61|8000|doi:10.1021/acs.inorgchem.2c00693 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc28xcbx&sid=DataCite |
| Title | CCDC 2112630: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Andrew J. P. White, Thomas R. Eykyn, Michelle T. Ma, Philip W. Miller, Nicholas J. Long|2022|Inorg.Chem.|61|8000|doi:10.1021/acs.inorgchem.2c00693 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc28xccy&sid=DataCite |
| Title | CCDC 2112631: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Andrew J. P. White, Thomas R. Eykyn, Michelle T. Ma, Philip W. Miller, Nicholas J. Long|2022|Inorg.Chem.|61|8000|doi:10.1021/acs.inorgchem.2c00693 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc28xcdz&sid=DataCite |
| Title | CCDC 2129875: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Andrew J. P. White, Thomas R. Eykyn, Michelle T. Ma, Philip W. Miller, Nicholas J. Long|2022|Inorg.Chem.|61|8000|doi:10.1021/acs.inorgchem.2c00693 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc29h9ns&sid=DataCite |
| Title | CCDC 2165137: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Christina Siakalli, Andrew J. P. White, Angelo Frei, Philip W. Miller, Nicholas J. Long|2022|Dalton Trans.|51|12791|doi:10.1039/D2DT02157A |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2bp046&sid=DataCite |
| Title | CCDC 2165138: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Christina Siakalli, Andrew J. P. White, Angelo Frei, Philip W. Miller, Nicholas J. Long|2022|Dalton Trans.|51|12791|doi:10.1039/D2DT02157A |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2bp057&sid=DataCite |
| Title | CCDC 2165139: Experimental Crystal Structure Determination |
| Description | Related Article: Saul M. Cooper, Christina Siakalli, Andrew J. P. White, Angelo Frei, Philip W. Miller, Nicholas J. Long|2022|Dalton Trans.|51|12791|doi:10.1039/D2DT02157A |
| Type Of Material | Database/Collection of data |
| Year Produced | 2022 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2bp068&sid=DataCite |
| Title | CCDC 2290361: Experimental Crystal Structure Determination |
| Description | Related Article: Danielle E. Runacres, Victoria K. Greenacre, John M. Dyke, Julian Grigg, George Herbert, William Levason, Graeme McRobbie, Gillian Reid|2023|Inorg.Chem.|||doi:10.1021/acs.inorgchem.3c03135 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2gw9m9&sid=DataCite |
| Title | CCDC 2290362: Experimental Crystal Structure Determination |
| Description | Related Article: Danielle E. Runacres, Victoria K. Greenacre, John M. Dyke, Julian Grigg, George Herbert, William Levason, Graeme McRobbie, Gillian Reid|2023|Inorg.Chem.|||doi:10.1021/acs.inorgchem.3c03135 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2gw9nb&sid=DataCite |
| Title | CCDC 2290363: Experimental Crystal Structure Determination |
| Description | Related Article: Danielle E. Runacres, Victoria K. Greenacre, John M. Dyke, Julian Grigg, George Herbert, William Levason, Graeme McRobbie, Gillian Reid|2023|Inorg.Chem.|||doi:10.1021/acs.inorgchem.3c03135 |
| Type Of Material | Database/Collection of data |
| Year Produced | 2023 |
| Provided To Others? | Yes |
| URL | http://www.ccdc.cam.ac.uk/services/structure_request?id=doi:10.5517/ccdc.csd.cc2gw9pc&sid=DataCite |
| Description | 'Seeing the unseen' public engagement event |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Public/other audiences |
| Results and Impact | Working within the theme of "Seeing the unseen" researchers from the EPSRC funded RedOx?KCL and MITHRAS (King's College London) programmes exhibited posters and provided hands-on activities to explain their work to the general public. Both programmes are multidisciplinary and bring together chemists, biologists, and imaging specialists to develop new probes that detect changes in cells, tissues and whole bodies in diseases including cancer and cardiovascular disease. Researchers who are developing the new probes explained how they are used to understand complex biological processes in disease and help to improve detection in patients using Positron Emission Tomography (PET) and Magnetic Resonance Imaging (MRI). The event took place at a community centre in the heart of the Waterloo and North Southwark neighbourhoods in London. Coin Street Community Builders is a thriving social enterprise which has transformed the local community providing cooperative led open spaces, gardens, welcoming facilities, local businesses and family centres to local residents with an overarching mission to celebrate inclusion and diversity. After brief introductory talks from Prof. Stuart Conway (RedOx?KCL) and lead from MITHRAS members of the community were encouraged to discuss the areas of research with the teams who had created colourful and informative posters designed to showcase and highlight the work being done. Tabletop displays with the aid of UV light lamps enabled participants to learn about fluorescence and how some chemicals when they absorb Ultra Violet (UV) light fluoresce - such as quinine in tonic water. Interactive posters encouraged delegates to learn more about MRI and how it works through identifying their favourite fruit and chocolate using images from MRI scans. There was plenty of discussion, thought provoking questions and activities for members of the London community to learn about the exciting research. |
| Year(s) Of Engagement Activity | 2024 |
| URL | https://redox.chem.ox.ac.uk/Events/ |
