Programme R6
Single-Cell & Tumour Ecosystem Modelling
Which cell populations drive resistance, and can we see them coming?
Coming soon
The problem
Resistance is usually detected when a scan shows progression, by which point the population driving it has already taken over.
Global single-cell atlases under-represent the tumour types that carry India's burden, so the reference maps clinicians reason from may not describe the disease in front of them.
The questions
- Which subclonal populations drive resistance, and can they be detected before they dominate?
- How does the cellular ecosystem of Indian tumours differ at the disease sites that matter here?
- Which network-level vulnerabilities are actionable rather than merely interesting?
What we are contributing
Building a recognised Indian single-cell resource for the sites global atlases under-represent, oral, head-and-neck, gallbladder and gastric disease in particular.
We provide the clinical annotation that makes single-cell data interpretable: what was given, in what order, and what happened.
How the work is done
- Single-cell RNA and multi-omic analysis pipelines
- Dimensionality reduction, clustering, trajectory and lineage inference
- Cell–cell interaction and systems-level network modelling
What it runs on
- Collaborator-generated single-cell data
- Public atlases
- Matched clinical annotation from our cohort
What it produces
- Cell-population maps for priority disease sites
- Resistance-mechanism hypotheses feeding the board and the repurposing programme
- Publications and doctoral projects
Why it is not just science
How this changes care here
- Underwrites the resistance and progression consultation
- Feeds hypotheses into repurposing and combination design
Funding fit
Biotechnology and genomics grants; academic collaboration for assay access.
What we are looking for
- Academic labs with single-cell assay capability
- Doctoral students
- Funding for compute and analysis staff
Deliberately empty
Publications, funding and results
Nothing appears in this section until it exists in writing. No paper in preparation, no grant under review, no result not yet published. That rule applies with particular force to a research page.