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Detalle de: KLRG1 identifies regulatory T cells with mitochondrial alterations that accumulate with aging

Title KLRG1 identifies regulatory T cells with mitochondrial alterations that accumulate with aging
Abstract

Recent studies using single-cell RNA sequencing technology have uncovered several subpopulations of CD4 + T cells that accumulate with aging. These age-associated T cells are emerging as relevant players in the onset of inflammaging and tissue senescence. Here, based on information provided by single-cell RNA sequencing data, we present a flow cytometry panel that allows the identification of age-associated T cell subsets in systematic larger analysis in mice. We use this panel to evaluate at the single-cell level mitochondrial and senescence marks in the different age-associated CD4 + T cell subpopulations. Our analysis identifies a subpopulation of regulatory T (T reg ) cells that is characterized by the extracellular expression of the co-inhibitory molecule killer cell lectin-like receptor subfamily G member 1 (KLRG1) and accumulates with aging in humans and mice. KLRG1-expressing T reg cells display senescence features such as mitochondrial alterations, increased expression of cell-cycle regulators and genomic DNA damage. Functionally, KLRG1 + T reg cells show a reduced suppressive activity in vivo accompanied by a pro-inflammatory phenotype.

Apa Reference Soto-Heredero, G., Gabandé-Rodríguez, E., Carrasco, E., Escrig-Larena, J.I., Gómez de las Heras, M.M., Delgado-Pulido, S., Francos-Quijorna, I., Blanco, E.M., Fernández-Almeida, Á., Abia, D., Rodríguez, M.J., Fernández-Díaz, C.M., Álvarez-Flores, M.B., Ramírez de Molina, A., Jung, S., del Sol, A., Zorita, V., Sánchez-Cabo, F., Torroja, C. & Mittelbrunn, M. (2025). KLRG1 identifies regulatory T cells with mitochondrial alterations that accumulate with aging. Nature Aging, 5(5), 799-815. 10.1038/s43587-025-00855-9
Doi 10.1038/s43587-025-00855-9
Publication Date 30 Apr 2025
Publication Type Article
Researcher David Ángel Abia Holgado
Ontology RNA Sequencing (RNA-seq), Genomics, Single-cell omics, Single-cell (scRNA-seq)
Research Groups
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