bioRxivBioinformaticsPreprint
Multimodal single-cell analysis uncovers transcription factor networks underlying T-cell aging
Mina ShaiganiD, Deepika PuriiD, Giulia Fornero, René KrügeriD, Mara SteigeriD, Hannes KlumpiD, Alexander MeissneriD, Helene KretzmeriD, Wolfgang WagneriD, Ivan G. CostaiD
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Abstract
Aging of the immune system is associated with chronic inflammation and impaired immune function, yet the regulatory mechanisms underlying these changes remain incompletely understood. Here, we generated paired single-cell transcriptomic and chromatin accessibility profiles from peripheral blood mononuclear cells of young and old healthy donors to characterize immune aging at single-cell resolution. Using an integrative computational framework for multi-omic single-cell analysis, we detected pronounced age-associated changes in T cells, including loss of naive CD8+ T cells and expansion of differentiated memory and effector populations. Aging was accompanied by increased inflammatory signaling and reduced oxidative phosphorylation programs. Enhancer-based gene regulatory network analyses identified a reduced role of TCF7 and increased activity of inflammatory regulators, including FOSL2, in aged T cells. Integration with genetic association and eQTL datasets further supported the functional relevance of age-associated regulatory regions and their target genes.
- organism: human
- assay: scRNA-seq
- assay: ATAC-seq
- research focus: gene regulatory network inference
- approach: statistical model
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