Lisa Vettore
@lisav17.bsky.social
Postdoctoral Researcher @ University of Oxford working at the intersection of tumours, T cells and too much caffeine | Immuno-oncology | Tumour metabolism
Reposted by Lisa Vettore
We extracted turnover data for CD4, CD8, Treg, B cells and NK cells from 17 tissue sources, and generated a sophisticated model of migration, activation and death for each lineage and tissue. The Markov chain modelling found high-confidence solutions that matched the empirical data beautifully. 3/10
July 9, 2025 at 8:17 AM
We extracted turnover data for CD4, CD8, Treg, B cells and NK cells from 17 tissue sources, and generated a sophisticated model of migration, activation and death for each lineage and tissue. The Markov chain modelling found high-confidence solutions that matched the empirical data beautifully. 3/10