Scientific Aims
spaXio will generate high-resolution maps of cellular interactions and metabolic pathways in four metastatic niches — brain, liver, lung, and lymph nodes affected by breast and colorectal cancer — using spatial and single-cell multi-omics.
The project will create advanced, organ-specific tumoroid models that mimic human metastatic niches, allowing detailed functional studies and perturbation experiments in controlled lab settings.
By integrating large-scale omics data with artificial intelligence (AI), spaXio will construct predictive models — or “digital twins” — of metastatic environments, enabling simulation and hypothesis testing in silico.
spaXio will refine and expand current spatial omics methodologies to push the boundaries of resolution, accuracy, and scalability in studying complex tumour microenvironments.
Training Aims
spaXio’s training programme is centred around a structured series of international courses, workshops, and hands-on training events designed to develop both scientific excellence and professional skills. Doctoral candidates will participate in annual network-wide training weeks hosted across Europe, focusing on spatial omics technologies, advanced imaging, AI-driven data analysis, and organoid-based disease modelling. Specialised workshops will cover topics such as tissue clearing, single-cell spatial transcriptomics, metabolic profiling, and 3D cell culture techniques. Complementary training includes sessions on open science, scientific integrity, and responsible research innovation. Entrepreneurship, communication, and career development workshops — often co-organised with our industry partners — will help candidates navigate diverse career paths within and beyond academia.
Together, these activities form a dynamic and collaborative learning environment that empowers spaXio doctoral candidates to become the next generation of experts and future leaders and innovators in tissue biology, digital pathology, and cancer research.