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Reinalda, L.

Publications and source records attributed to Reinalda, L..

3 recordsLinked to original sources

Physiological fatty acid uptake reveals spatial and systemic constraints on nutrient accessibility in vivo

Immune cells rely on exogenous fatty acids (FA) for membrane synthesis, bioenergetics and signalling, yet current approaches cannot accurately quantify physiological FA uptake in vivo. Here, we use cyclopropene-tagged fatty acids (cpFA) that, unlike existing FA-uptake tools, are taken up by physiologically relevant mechanisms. We measure FA uptake at single-cell resolution in vivo and uncover a previously unappreciated distinction between nutrient uptake capacity and nutrient accessibility. Although arachidonic acid exhibits the highest uptake capacity ex vivo across immune populations, it displays limited tissue accessibility in vivo, whereas palmitate is broadly accessible. In vivo nutrient-uptake measurements reveal that tissue architecture shapes nutrient accessibility, with spatial constraints in the spleen and exclusion of circulating FA, but not amino acids, from the thymus. Together, these findings identify nutrient accessibility as a distinct layer of metabolic regulation and reveal that immune-cell metabolism is shaped by spatial and systemic constraints on nutrient access HighlightsO_LINutrient accessibility is a distinct layer of metabolic regulation C_LIO_LIPhysiological FA uptake differs from ex vivo uptake capacity C_LIO_LISpatial and systemic factors govern fatty-acid accessibility C_LIO_LITissue context shapes immune-cell metabolism in vivo C_LI In briefUsing bioorthogonal FA to quantify physiological nutrient uptake in vivo, Wang et al. show that nutrient accessibility is distinct from nutrient uptake capacity. Tissue architecture and systemic FA distribution create spatial constraints on nutrient access, revealing an underappreciated layer of metabolic regulation in immune cells.

immunology↗

A Novel Cyclopropenyl Fatty Acid Library Reveals Tissue-Specific Preferences for Regulatory T Cell Uptake Through Click-Chemistry

The activation of T-cells is heavily shaped by the nutrients that are available during activation. Fatty acids can have highly pleiotropic effects in this process. On the one hand, they are essential for driving T-cell activation, yet on the other hand they can affect curtailed T-cell activation. These differences are likely dependent on the nature and absolute uptake of the fatty acids. Quantifying the uptake of specific FAs by individual cells and studying the effect on the phenotype of the cell is currently not possible with existing tools. Here we therefore use the live-cell compatible Inverse Electron-Demand Diels-Alder reaction combined with the synthesis of saturated, unsaturated and polyunsaturated fatty acids carrying the 1-carbon cyclopropene click group. Single cell uptake studies of these various clickable FAs in primary immune cell mixtures show highly divergent uptake behaviour between different immune cells, with polyunsaturated fatty acids markedly preferred by all immune cells tested.

immunology↗

Single Cell Analysis of Regions of Interest (SCARI) using a novel photoswitchable tag

The functional activity and differentiation potential of cells is determined by their interaction with surrounding cells. Approaches that allow the unbiased characterization of cell states while at the same time providing spatial information are of major value to assess this environmental influence. However, most current techniques are hampered by a trade-off between spatial resolution and cell profiling depth. Here, we developed a photoswitch-based technology that allows the isolation and in-depth analysis of live cells from regions of interest in complex ex vivo systems, including human tissues. The use of a highly sensitive 4-nitrophenyl(benzofuran)-cage coupled to nanobodies allowed photoswitching of cells in areas of interest with low-intensity violet light and without detectable phototoxicity. Single cell RNA sequencing of spatially defined CD8+ T cells was used to exemplify the feasibility of identifying location-dependent cell states at the single cell level. Finally, we demonstrate the efficient labeling and photoswitching of cells in live primary human tumor tissue. The technology described here provides a valuable tool for the analysis of spatially defined cells in diverse biological systems, including clinical samples.

bioengineering↗