Manchester Academic Health Science Centre Technology Hub: Clinical Proteomics Centre for Stratified Medicine
Lead Research Organisation:
University of Manchester
Department Name: Medical and Human Sciences
Abstract
The genomic and post-genomic age promises much for clinical medicine, as we can now sequence genomes (the blueprint), and measure gene expression fairly routinely and now we can measure the amounts of proteins (the structural and catalytic functional entities in the cell) produced. Yet, to date, the biomedical community have struggled to integrate these technologies and generate the impact anticipated some years ago. The University of Manchester proposes to engage with this challenge by setting up a completely new facility, building on its strengths in biochemistry, to enable clinicians to choose the right treatment for the right patient at the right time. The biochemistry base that will be built, using state of the art technologies, can serve this objective in a number of different ways for a wide range of different diseases. Furthermore, the benefits generated from the facility will be available to researchers from other universities and industrial partners (such as drug companies) to use, with the aim to maximise its impact in diagnostic and translational medicine beyond Manchester.
This new facility will use a new development of mass spectrometry that supports the measurement of many proteins within a sample (such as blood, urine, or from tissue such as a tumour biopsy) within a much shorter time than has ever been possible before. Such techniques will be of huge benefit to clinical researchers as it will allow them to see the differences between samples from, for example, healthy people and people with a specific disease - this will give insights into how that disease develops and, importantly, how it might be treated. In addition, by examining the differences in the levels of particular marker proteins from patients who respond to a drug compared to those who don't respond, doctors will be able to identify which drug is the best treatment for individual patients. This will have economic benefit as drugs will not be used on patients who will receive no benefit from them. We will look in the first instance for such protein markers through the disease course, and treatment response in rheumatoid arthritis, psoriasis and cancer.
This new facility will use a new development of mass spectrometry that supports the measurement of many proteins within a sample (such as blood, urine, or from tissue such as a tumour biopsy) within a much shorter time than has ever been possible before. Such techniques will be of huge benefit to clinical researchers as it will allow them to see the differences between samples from, for example, healthy people and people with a specific disease - this will give insights into how that disease develops and, importantly, how it might be treated. In addition, by examining the differences in the levels of particular marker proteins from patients who respond to a drug compared to those who don't respond, doctors will be able to identify which drug is the best treatment for individual patients. This will have economic benefit as drugs will not be used on patients who will receive no benefit from them. We will look in the first instance for such protein markers through the disease course, and treatment response in rheumatoid arthritis, psoriasis and cancer.
Technical Summary
This bid proposes the development of a unique world-leading clinical proteomics centre (CPC) for stratified medicine and mechanistic studies of disease. The objectives for the proposed centre include the pragmatic discovery of novel protein biomarkers to lead to early diagnosis of disease, stratification of patients according to their disease endotype and also according to their therapeutic response to a specific treatment. Additionally, we anticipate the CPC will offer a valuable resource for experimental medicine studies to understand the basis of disease mechanisms. Within the proposed CPC we will apply the very latest in innovative mass spectrometry-based technology on a high capacity throughput, for the first time in the UK. Sequential Window Acquisition of all THeoretical fragment-ion spectra Mass Spectrometry (SWATH MS), combined with Selected Reaction Monitoring (SRM) proteomics techniques will allow the creation of a digitised, quantitative, permanent record of the proteome. Linkage of proteomic data to electronic health records through the Farr@HeRC health informatics centre will be achieved through a secure 'eLab' platform, allowing the integration of complex molecular phenotyping with endotypic data (such as therapeutic outcome and medical history). Exemplar stratified medicine projects will be enabled once CPC is set up, and will include the use of samples from the MRC-funded stratified medicine programmes around psoriasis (PSORT) and rheumatoid arthritis (MATURA), where the digitised proteome can be interrogated alongside other 'omics and clinical data. Additionally, a number of other mechanistic studies around leukaemia and other solid cancers have already been identified and will proceed when the CPC is established. Combined with validation and verification platforms, the facility will offer unparalleled power to discover novel biomarkers and elucidate the underlying pathophysiological mechanisms of disease.
Planned Impact
1) Who will benefit from this research?
- Clinical scientists and experimental medicine researchers
- Clinicians, NHS
- Patients
- Drug discovery/ development groups
- Industry, including big pharma and biotech
2) How will the above groups benefit?
In short, the groups listed above will benefit from a quicker time to clinical validation of biomarkers and the improved prospect of personalised medicine penetration into the clinic with associated economic benefit.
Specifically-
- Clinical scientists and experimental medicine researchers will benefit through being able to access an innovative high capacity resource not currently available elsewhere in the UK, allowing them to undertake discovery biomarker projects and experimental studies in a fraction of the time. The ability to create a permanent digitised record (and subsequently iteratively mine this) will allow precious clinical samples and biobanks to be used sparingly;
- Clinicians and the NHS will benefit through the ultimate development of improved diagnostics and predictors of response, allowing earlier diagnosis and reduction in prescribing errors - all of which will ultimately reduce the necessity of inappropriate or aggressive treatment and, in turn, the economic burden of disease on the health service;
- Patients will benefit through better diagnostics and 'theranostics' by being detected earlier (improving outcome) and, following diagnosis, by being treated right first time;
- Drug discovery and development groups will be able to identify those individuals who are most likely to benefit from the drugs they are developing and allowing them to be targeted appropriately (reducing side effects and non-response);
- Pharma will benefit by being able to access a facility which will allow them to identify novel "druggable" targets through the comparison of proteomic signatures from patients and healthy volunteers, mass spectrometry instrument manufacturers (and specifically AB SCIEX and Waters) will benefit through having their techniques validated and translated into clinical practice (and the potentially larger market share this will bring), smaller biotech will benefit from pharma's increased use of protein or expression based diagnostics and the opportunities this will bring in terms of companion diagnostic development
- Clinical scientists and experimental medicine researchers
- Clinicians, NHS
- Patients
- Drug discovery/ development groups
- Industry, including big pharma and biotech
2) How will the above groups benefit?
In short, the groups listed above will benefit from a quicker time to clinical validation of biomarkers and the improved prospect of personalised medicine penetration into the clinic with associated economic benefit.
Specifically-
- Clinical scientists and experimental medicine researchers will benefit through being able to access an innovative high capacity resource not currently available elsewhere in the UK, allowing them to undertake discovery biomarker projects and experimental studies in a fraction of the time. The ability to create a permanent digitised record (and subsequently iteratively mine this) will allow precious clinical samples and biobanks to be used sparingly;
- Clinicians and the NHS will benefit through the ultimate development of improved diagnostics and predictors of response, allowing earlier diagnosis and reduction in prescribing errors - all of which will ultimately reduce the necessity of inappropriate or aggressive treatment and, in turn, the economic burden of disease on the health service;
- Patients will benefit through better diagnostics and 'theranostics' by being detected earlier (improving outcome) and, following diagnosis, by being treated right first time;
- Drug discovery and development groups will be able to identify those individuals who are most likely to benefit from the drugs they are developing and allowing them to be targeted appropriately (reducing side effects and non-response);
- Pharma will benefit by being able to access a facility which will allow them to identify novel "druggable" targets through the comparison of proteomic signatures from patients and healthy volunteers, mass spectrometry instrument manufacturers (and specifically AB SCIEX and Waters) will benefit through having their techniques validated and translated into clinical practice (and the potentially larger market share this will bring), smaller biotech will benefit from pharma's increased use of protein or expression based diagnostics and the opportunities this will bring in terms of companion diagnostic development
Organisations
- University of Manchester, Manchester, United Kingdom (Lead Research Organisation)
- National Cancer Institute (NCI) (Collaboration)
- Korea Institute of Science and Technology Information (KISTI) (Collaboration)
- Shanghai Institute of Materia Medica, China (Collaboration)
- National Cancer Centre (Collaboration)
- AB SCIEX (Collaboration)
- Chang Gung University, Taiwan, Province of China (Collaboration)
- University of Dundee, United Kingdom (Collaboration)
- Chinese Academy of Sciences (Collaboration)
- McGill University, Canada (Collaboration)
- Academia Sinica (Collaboration)
- Fudan University (Collaboration)
- Macquarie University, Australia (Collaboration)
- Korea University (Collaboration)
- Swiss Federal Institute of Technology (ETH), Zurich (Collaboration)
- University of British Columbia, Canada (Collaboration)
- Lund University (Collaboration)
- Leibniz Association (Collaboration)
- The Garvan Institute for Medical Research (Collaboration)
Publications

Abraham SA
(2016)
Dual targeting of p53 and c-MYC selectively eliminates leukaemic stem cells.
in Nature

Billing C
(2017)
Features of lineage-specific hematopoietic metabolism revealed by mitochondrial proteomics.
in Proteomics

Crosbie PA
(2016)
ERK and AKT phosphorylation status in lung cancer and emphysema using nanocapillary isoelectric focusing.
in BMJ open respiratory research


Harrison OJ
(2018)
Candidate plasma biomarkers for predicting ascending aortic aneurysm in bicuspid aortic valve disease.
in Journal of cardiothoracic surgery

Malipatil N
(2019)
Data Independent Acquisition Mass Spectrometry Can Identify Circulating Proteins That Predict Future Weight Loss with a Diet and Exercise Programme.
in Journal of clinical medicine

Meyer S
(2017)
Acquired cross-linker resistance associated with a novel spliced BRCA2 protein variant for molecular phenotyping of BRCA2 disruption.
in Cell death & disease

Morgan DJ
(2016)
Glucocorticoid receptor isoforms direct distinct mitochondrial programs to regulate ATP production.
in Scientific reports

Nicholson L
(2015)
Quantitative proteomic analysis reveals maturation as a mechanism underlying glucocorticoid resistance in B lineage ALL and re-sensitization by JNK inhibition.
in British journal of haematology

Paredes R
(2018)
EVI1 carboxy-terminal phosphorylation is ATM-mediated and sustains transcriptional modulation and self-renewal via enhanced CtBP1 association.
in Nucleic acids research

Pearson S
(2018)
Proteomic analysis of JAK2V617F-induced changes identifies potential new combinatorial therapeutic approaches.
in Leukemia

Pellicano F
(2018)
-mediated regulation of E2F1 is required for CML stem/progenitor cell survival.
in Blood

Pellicano F
(2018)
hsa-mir183/EGR1-mediated regulation of E2F1 is required for CML stem/progenitor cell survival.
in Blood

Ptushkina M
(2017)
A non-transcriptional role for the glucocorticoid receptor in mediating the cell stress response.
in Scientific reports

Russell MR
(2017)
Novel risk models for early detection and screening of ovarian cancer.
in Oncotarget

Russell MR
(2017)
A combined biomarker panel shows improved sensitivity for the early detection of ovarian cancer allowing the identification of the most aggressive type II tumours.
in British journal of cancer

Russell MR
(2016)
Protein Z: A putative novel biomarker for early detection of ovarian cancer.
in International journal of cancer


Whetton AD
(2016)
MPL W515L expression induces TGFß secretion and leads to an increase in chemokinesis via phosphorylation of THOC5.
in Oncotarget
Description | MRC Workshop on Methodology for Stratified Medicine - July 2015. 'Stratum Verification' |
Geographic Reach | National |
Policy Influence Type | Participation in a advisory committee |
Description | Rosalind Franklin Institute Biological Mass Spectrometry |
Geographic Reach | National |
Policy Influence Type | Participation in a advisory committee |
Description | UK Biobank Enhancement Working Group |
Geographic Reach | National |
Policy Influence Type | Participation in a advisory committee |
Description | Biomedical Research Centre |
Amount | £28,500,000 (GBP) |
Organisation | University of Leicester |
Department | NIHR Biomedical Research Centre |
Sector | Hospitals |
Country | United Kingdom |
Start | 04/2017 |
End | 03/2021 |
Description | MICA: NURTuRE - changing the landscape of renal medicine to foster a unified approach to stratified medicine |
Amount | £2,561,603 (GBP) |
Funding ID | MR/R013942/1 |
Organisation | Medical Research Council (MRC) |
Sector | Academic/University |
Country | United Kingdom |
Start | 07/2018 |
End | 07/2022 |
Description | Molecular Pathology Nodes Call Feb 2015 |
Amount | £2,886,686 (GBP) |
Funding ID | MR/N00583X/1 |
Organisation | Medical Research Council (MRC) |
Sector | Academic/University |
Country | United Kingdom |
Start | 10/2015 |
End | 09/2019 |
Description | Research Grant |
Amount | £604,167 (GBP) |
Funding ID | MR/N028457/1 |
Organisation | Medical Research Council (MRC) |
Sector | Academic/University |
Country | United Kingdom |
Start | 04/2016 |
End | 03/2020 |
Description | Research Grant |
Amount | £324,224 (GBP) |
Funding ID | BB/P024424/1 |
Organisation | Biotechnology and Biological Sciences Research Council (BBSRC) |
Sector | Public |
Country | United Kingdom |
Start | 12/2017 |
End | 11/2020 |
Description | Small pilot grants |
Amount | £15,000 (GBP) |
Organisation | Genesis Breast Cancer Prevention Appeal |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 04/2016 |
End | 10/2016 |
Description | Wellcome Trust Institute Strategic Support Fund (University of Manchester) |
Amount | £44,500 (GBP) |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start | 09/2015 |
End | 09/2016 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Academia Sinica |
Country | Taiwan, Province of China |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Chang Gung University |
Country | Taiwan, Province of China |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Chinese Academy of Sciences |
Country | China |
Sector | Public |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | ETH Zurich |
Country | Switzerland |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Fudan University |
Country | China |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Korea Institute of Science and Technology Information (KISTI) |
Country | Korea, Republic of |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Korea University |
Country | Korea, Republic of |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Leibniz Association |
Department | Leibniz Institute for Analytical Sciences |
Country | Germany |
Sector | Charity/Non Profit |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Lund University |
Country | Sweden |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Macquarie University |
Country | Australia |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | McGill University |
Country | Canada |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | National Cancer Centre |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | National Cancer Institute (NCI) |
Country | United States |
Sector | Public |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | Shanghai Institute of Materia Medica, China |
Country | China |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | The Garvan Institute for Medical Research |
Country | Australia |
Sector | Charity/Non Profit |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | University of British Columbia |
Country | Canada |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | International Cancer Proteogenome Consortium- Cancer Moonshot |
Organisation | University of Dundee |
Department | School of Life Sciences |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Collaborator Contribution | International proteomics network for cancer research that is sharing best practice sample processing and mass spectrometry protocols and data from various tumour samples. |
Impact | Proteomics collaboration, outputs so far include standard operating procedures agreed by consortium. |
Start Year | 2017 |
Description | Stoller/SCIEX research collaboration |
Organisation | AB SCIEX |
Country | United States |
Sector | Private |
PI Contribution | Stoller staff are providing intellectual input, access to facilities and equipment and will be training PhD students. The goal of the partnership is to industrialise proteomics with appropriate QA/QC measures. |
Collaborator Contribution | SCIEX staff are providing on site support from field service engineers to maintain the equipment and application chemists advising on use of the instrumentation, training new users and jointly developing new methodologies. The goal of the partnership is to industrialise proteomics with appropriate QA/QC measures. |
Impact | Joint poster presentations at ASMS and HUPO conferences. Sponsored seminars at various international conferences. VIP round table discussions on the advancement of precision medicine and the major challenges researchers face. |
Start Year | 2016 |
Description | CRUK-Abcodia Science Advisory Board |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | I was invited to become a member of the Science Advisory Board for collaboration between Cancer Research UK and Abcodia, the biomarker validation company. The main reason for this collaboration is to develop new tests to detect various cancers before patients develop any symptoms. |
Year(s) Of Engagement Activity | 2013,2014,2015,2016,2017 |
Description | Cub scouts visit to the Stoller |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Public/other audiences |
Results and Impact | 48 cub scouts aged 8-11 years old attended an evening visit to the Stoller Biomarker Discovery Centre where staff engaged in fun experiments designed to interest children in science. The feedback from the visitors has been very positive with additional visits from older scout troops planned for later in the year. |
Year(s) Of Engagement Activity | 2017 |
Description | High profile visit from the Deputy Prime Minister and Manchester Alumni from Singapore |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | High profile visit from the Deputy Prime Minister and Manchester Alumni from Singapore on the 26th of March 2018. |
Year(s) Of Engagement Activity | 2018 |
Description | MRC group on Stratification in next 30 years |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Other audiences |
Results and Impact | MRC group on Stratification in next 30 years |
Year(s) Of Engagement Activity | 2019 |
Description | NIHR BRC Workshop on Oncology Initiatives |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Other audiences |
Results and Impact | NIHR BRC Workshop on Oncology Initiatives |
Year(s) Of Engagement Activity | 2019 |
Description | School visit |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Schools |
Results and Impact | 14 children visited from a local primary school and participated in child-friendly protein science experiments related to our research, supervised by teachers and lab technicians. |
Year(s) Of Engagement Activity | 2017 |
Description | Scouts visit |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Third sector organisations |
Results and Impact | 30 Scouts aged 10-11 attended an evening visit to the Stoller Biomarker Discovery Centre, including different protein science experiment stations related to our research. |
Year(s) Of Engagement Activity | 2017 |
Description | Stoller Launch and Symposium 2016 |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | A two day symposium with visiting speakers from across the UK and international precision medicine and proteomics communities. Attendees ranged from postdoctoral students, academics and industry representatives working in the field. There was also a formal launch event attended by our collaborative partners from SCIEX and the Danaher Corporation, and a ribbon cutting ceremony with representatives from the Stoller Charitable Trust who have provided funding to the Stoller Centre. |
Year(s) Of Engagement Activity | 2016 |
Description | The Times, supplement called Future North |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Media (as a channel to the public) |
Results and Impact | The Times (the supplement went into all copies of The Times in Yorkshire, North West and North East of England); a summary about importance of the Stoller Biomarker Discovery Centre in the biomarker discovery, validation and verification. |
Year(s) Of Engagement Activity | 2019 |
Description | UK Biobank Enhancement Working Group |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Industry/Business |
Results and Impact | Development of a new multiomics approach on the UK Biobank cohort. |
Year(s) Of Engagement Activity | 2018,2019 |
Description | UK Biobank's COO and Director of Operations visited Stoller Biomarker Discovery Centre |
Form Of Engagement Activity | Participation in an open day or visit at my research institution |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Other audiences |
Results and Impact | UK Biobank's COO Mark Effingham and Director of Operations Simon Sheard visited Stoller Biomarker Centre on the 21st of November 2018 to see the facility and to discuss future collaboration with Prof. Tony Whetton. |
Year(s) Of Engagement Activity | 2018 |