Optical Proteomic Technology for In-Situ Analysis of Protein Interaction Networks
Lead Research Organisation:
University of Oxford
Department Name: Gray Inst for Radiation Oncology & Bio
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
People |
ORCID iD |
| Borivoj Vojnovic (Principal Investigator) |
Publications
Barber P
(2008)
Multiphoton time-domain fluorescence lifetime imaging microscopy: practical application to protein-protein interactions using global analysis
in Journal of The Royal Society Interface
Barber P
(2010)
A Bayesian method for single molecule, fluorescence burst analysis
in Biomedical Optics Express
Barber PR
(2013)
The Gray Institute 'open' high-content, fluorescence lifetime microscopes.
in Journal of microscopy
Barber, P.R.
(2008)
In Biomedical Imaging: From Nano to Macro
in Towards High-throughput FLIM for Protein-protein Interaction Screening of Live Cells and Tissue Microarrays
Bosch-Vilaró A
(2017)
Feedback activation of HER3 attenuates response to EGFR inhibitors in colon cancer cells.
in Oncotarget
Carlin LM
(2011)
A targeted siRNA screen identifies regulators of Cdc42 activity at the natural killer cell immunological synapse.
in Science signaling
Coban O
(2015)
Effect of phosphorylation on EGFR dimer stability probed by single-molecule dynamics and FRET/FLIM.
in Biophysical journal
Fruhwirth GO
(2011)
How Förster resonance energy transfer imaging improves the understanding of protein interaction networks in cancer biology.
in Chemphyschem : a European journal of chemical physics and physical chemistry
Kelleher MT
(2009)
The potential of optical proteomic technologies to individualize prognosis and guide rational treatment for cancer patients.
in Targeted oncology
Makrogianneli K
(2009)
Integrating receptor signal inputs that influence small Rho GTPase activation dynamics at the immunological synapse.
in Molecular and cellular biology
| Description | We have developed novel imaging and image analysis methods which are able to quantify interactions of key proteins in patient tissue samples (biopsies). This allows us to determine the likelihood of success of particular cancer treatments applied to specific patients. No two cancers/patients are alike and the methods developed have been applied retrospectively to breast cancer patient data, and the findings show how the genetic/protein profile of the tumour can affect the success of the treatment |
| Exploitation Route | Too early for non-academic use at present Several versions of the instrumentation developed under the grant have been deployed in laboratories at Kings College London and the University of Oxford |
| Sectors | Healthcare |
| Description | Continued use for further development of predictive cancer markers |
| First Year Of Impact | 2009 |
| Sector | Other |
| Description | Exploitation of time-resolved imaging to measure Forster Resonance Energy Transfer and thus determine protein-protein interaction distances; application to translational studies and development of preclinical biomarkers |
| Organisation | King's College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Developed fluorescence lifetime imaging devices based around time-correlated single photon counting and developed kinetic fitting software tools |
| Collaborator Contribution | Provided biological input and guided requirements of imaging devices and software tools that were developed |
| Impact | Numerous joint publications Understanding of Ezrin interaction pathways in some forms of cancer Understanding of Her2-Her3 interactions in some forms of cancer |
| Title | Software FLIM Analysis tool |
| Description | Image and signal processing toolbox for time-domain fluorescence lifetime imaging data but and for RGB spectral unmixing, foci counting and other batch processing, formatting, printing and export functions.Toolbox developed to run in a 'workspace' framework and allows user to try out different processing functions on images. |
| Type Of Technology | Software |
| Year Produced | 2007 |
| Impact | Significantly easier and correct analysis of fluorescence lifetime imaging data, with built-in error analysis tools |
| URL | http://users.ox.ac.uk/~raob0009/software.html |