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
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
- Citations
- 0
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