SOURCE-LINKED INTELLIGENCE

DEmystifying Targets in Endothelial Cells for anti-Tumor Immunity improVEments

CORDIS · observation · Publication date unknown

source of potential targets) to maximize the identification of novel IMMUSUP genes beyond the currently used targets in traditional IT. Thus, I will (i) identify and prioritize EC IMMUSUP genes using artificial intelligence/machine learning approaches and (ii) in silico bioinformatics coupled to a mystery-genome wide siRNA screen to reveal IMMUSUP activity; (iii) confirm IMMUSUP targets via lipid nanoparticle-based siRNA delivery to generate EC-specific knockdown mice in models of lung, esophageal, and liver cancer; and (iv) determine the Mode of Action of the most promising targets using multidisciplinary approaches. My work will yield insights about previously unknown drug targets in tumor ECs, potentially paving the way for development of alternative IT with enhanced efficacy. My prior experience in immunology and bioinformatics combined with the host lab's expertise in EC (dys)function and single cell -'omics' technologies will ensure high quality execution of this project. Alternative immunotherapy; immunology; tumor microenvironment; immunomodulatory endothelial cells; artifici

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recordType

award

status

SIGNED

region

EU

value

191760

unit

EUR