Funding Information: The computations of scRNA-seq data were enabled by resources provided by the Swedish National Infrastructure for Computing (SNIC) at Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) partially funded by the Swedish Research Council through grant agreement no. 2018-05973, and the National Academic Infrastructure for Supercomputing in Sweden (NAISS), partially funde...
Funding Information: The research in the M.P. laboratory was supported by the Max Planck Society, the European Research Council (ERC) Consolidator Grant EMERGE (no. 773047), the Deutsche Forschungsgemeinschaft (DFG, Project-ID 75732319 – SFB 834), the Leducq Foundation, the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie action (no. 814316), the Excellence Cluste...
(DFG, German Research Foundation) -Project-ID 75732319 -SFB 834, EXC 2026, project ID 390649896) DFG -Project-ID 268555672 -SFB 1213 MRC_MC_UU_12022/6 Cancer Center Support Grant 5P30CA045508; Endothelial cells (ECs) adapt their metabolism to enable the growth of new blood vessels, but little is known how ECs regulate metabolism to adopt a quiescent state. Here, we show that the metabolite S-2-hydroxyglutarate ...