@article{WuZhaoHochreinetal.2023,
  author    = {Wu, Hao and Zhao, Xiufeng and Hochrein, Sophia M. and Eckstein, Miriam and Gubert, Gabriela F. and Kn{\"o}pper, Konrad and Mansilla, Ana Maria and {\"O}ner, Arman and Doucet-Ladev{\`e}ze, Remi and Schmitz, Werner and Ghesqui{\`e}re, Bart and Theurich, Sebastian and Dudek, Jan and Gasteiger, Georg and Zernecke, Alma and Kobold, Sebastian and Kastenm{\"u}ller, Wolfgang and Vaeth, Martin},
  title     = {Mitochondrial dysfunction promotes the transition of precursor to terminally exhausted T cells through HIF-1α-mediated glycolytic reprogramming},
  series = {Nature Communications},
  volume    = {14},
  journal   = {Nature Communications},
  doi       = {10.1038/s41467-023-42634-3},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-358052},
  year      = {2023},
  abstract  = {T cell exhaustion is a hallmark of cancer and persistent infections, marked by inhibitory receptor upregulation, diminished cytokine secretion, and impaired cytolytic activity. Terminally exhausted T cells are steadily replenished by a precursor population (Tpex), but the metabolic principles governing Tpex maintenance and the regulatory circuits that control their exhaustion remain incompletely understood. Using a combination of gene-deficient mice, single-cell transcriptomics, and metabolomic analyses, we show that mitochondrial insufficiency is a cell-intrinsic trigger that initiates the functional exhaustion of T cells. At the molecular level, we find that mitochondrial dysfunction causes redox stress, which inhibits the proteasomal degradation of hypoxia-inducible factor 1α (HIF-1α) and promotes the transcriptional and metabolic reprogramming of Tpex cells into terminally exhausted T cells. Our findings also bear clinical significance, as metabolic engineering of chimeric antigen receptor (CAR) T cells is a promising strategy to enhance the stemness and functionality of Tpex cells for cancer immunotherapy.},
  language  = {en}
}
@article{GarciaBetancurGoniMorenoHorgeretal.2017,
  author    = {Garc{\´i}a-Betancur, Juan-Carlos and Go{\~n}i-Moreno, Angel and Horger, Thomas and Schott, Melanie and Sharan, Malvika and Eikmeier, Julian and Wohlmuth, Barbara and Zernecke, Alma and Ohlsen, Knut and Kuttler, Christina and Lopez, Daniel},
  title     = {Cell differentiation defines acute and chronic infection cell types in Staphylococcus aureus},
  series = {eLife},
  volume    = {6},
  journal   = {eLife},
  number    = {e28023},
  doi       = {10.7554/eLife.28023},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-170346},
  year      = {2017},
  abstract  = {A central question to biology is how pathogenic bacteria initiate acute or chronic infections. Here we describe a genetic program for cell-fate decision in the opportunistic human pathogen Staphylococcus aureus, which generates the phenotypic bifurcation of the cells into two genetically identical but different cell types during the course of an infection. Whereas one cell type promotes the formation of biofilms that contribute to chronic infections, the second type is planktonic and produces the toxins that contribute to acute bacteremia. We identified a bimodal switch in the agr quorum sensing system that antagonistically regulates the differentiation of these two physiologically distinct cell types. We found that extracellular signals affect the behavior of the agr bimodal switch and modify the size of the specialized subpopulations in specific colonization niches. For instance, magnesium-enriched colonization niches causes magnesium binding to S. aureusteichoic acids and increases bacterial cell wall rigidity. This signal triggers a genetic program that ultimately downregulates the agr bimodal switch. Colonization niches with different magnesium concentrations influence the bimodal system activity, which defines a distinct ratio between these subpopulations; this in turn leads to distinct infection outcomes in vitro and in an in vivo murine infection model. Cell differentiation generates physiological heterogeneity in clonal bacterial infections and helps to determine the distinct infection types.},
  language  = {en}
}