SOURCE-LINKED INTELLIGENCE
Dissecting chromosomal instability in gastric cancer and its role in immunoediting using advanced functional and multiplexed single cell sequencing technologies
croenvironment, and elucidating the molecular pathways leading to the poor prognosis of CIN-gastric cancer. To fulfill this aim, I defined three research objectives: In Objective I, I will develop a deep learning-based functional single cell sequencing (deepFUNseq) method to identify and profile rare, naturally occurring CIN-mother and -daughter cells derived from CIN-gastric cancer patients. In Objective II, I will develop a multiplexed functional & spatial single cell sequencing method(multi-FUNseq) to transcriptomically profile (non-)CIN gastric cancer cells and their interacting immune cells. In Objective III, I will investigate CIN-driving mechanisms and CIN-associated consequences in CIN-gastric cancer, including the role of CIN in immunoediting. The technologies developed in this proposal will result in a leap in our understanding of CIN in the context of cancer, and will lead to advances in fields where profiling cell-cell interactions is important, like tumor immunology. Single cell technology, Single cell sequencing, Multi-omics profiling, Spatial transcriptomics, Mult
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2000000
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.