Loading…
Loading grant details…
| Funder | European Commission |
|---|---|
| Recipient Organization | Fundacio Institut de Bioenginyeria de Catalunya |
| Country | Spain |
| Start Date | Jan 01, 2024 |
| End Date | Dec 31, 2028 |
| Duration | 1,826 days |
| Number of Grantees | 1 |
| Roles | Coordinator |
| Data Source | European Commission |
| Grant ID | 101117905 |
Clonal evolution in tumours, the process by which cancer cells expand, diversify and are selected, is a major determinant of tumour growth and response to therapy.
How the co-existence of diverse cancer cell clones shape tumour development is a fundamental question that remains open, in part because of limitations on existing experimental platforms and analytical frameworks.
Our expertise inferring multicellular behaviours within tissue microenvironments, together with recent advances in imaging, assay automation, and cell engineering, timely place us in an excellent position to profile and engineer clonal interactions within tumours from the tissue level down to the molecular scale, which enables targeting this important question with unprecedented throughput and spatial resolution.
In SpaceClones, we aim to: (1) characterize clonal interactions in genetically engineered tumours at sub-100 nm resolution, (2) characterize clonal signatures under metabolically defined environmental conditions, and (3) examine the cell state of engineered clonal spatial patterns.
To overcome a variety of challenges to understanding molecular and cellular mechanisms of clonal behaviours in tumours, I have designed a ground-breaking approach that combines highly-multiplexed imaging, in vitro and in vivo tumour models, cell engineering, super-resolution microscopy, combinatorial low-volume liquid handling, and algorithms for deconstruction of spatial patterns.
Altogether, SpaceClones will exemplify how to imply causality on the emergence of clonal spatial patterns in tumours, having far-reaching implications for the study of any other multicellular system.
Ultimately, a deeper understanding of clonal evolution will contribute in the design of more effective cancer therapies and tools to predict clinical outcomes.
Fundacio Institut de Bioenginyeria de Catalunya
Complete our application form to express your interest and we'll guide you through the process.
Apply for This Grant