Nature CommunicationsImmunologyPeer-reviewed journal article
Single-cell map of the healthy human immune system across the lifespan reveals unique infant immune signatures
Djamel Nehar-BelaidiD, Asa ThibodeauiD, Alper EroğluiD, Radu Marcheş, Giray Naim EryilmaziD, Titas GrabauskasiD, Luke TrinityiD, Derya UnutmaziD, Chris P. VerschooriD, Jinghua Gu, Uthra Balaji, Asunción MejíasiD, Virginia PascualiD, George A. KucheliD, Octavio RamiloiD, Jacques BanchereauiD, Duygu UcariD
Abstract
The human immune system undergoes continuous remodeling from infancy through old age, yet the timing and trajectory of these changes across the lifespan remain poorly defined. To address this, we profiled peripheral blood mononuclear cells from 95 healthy individuals (ages 2 months to 88 years), including infants (n=27), children (n=23), adults (n=18), and older adults (n=27) using scRNA-seq and snATAC-seq. MAIT and {gamma}{delta} T cells showed a "Rise and fall" pattern, which rise in childhood, peak in young adulthood, and decline with age. CD8+ T cells were the most affected by aging with decreasing naive T cells and increasing GzK+ CD8+ T cells and TEMRA cells. Infants had lower myeloid/lymphoid ratio, with a distinct composition marked by increased frequencies of CD16+ monocytes and plasmacytoid dendritic cells and reduced frequencies of CD14+ monocytes and conventional DCs. Their adaptive immune compartment also displayed unique features, including constitutive interferon-stimulated gene expression in T and B cells, and an expanded SOX4+ populations in naive CD4+, naive CD8+ and {gamma}{delta} T cells, comprising [~]30% of the naive T cell pool. SOX4+ naive CD4+ T cells displayed a Th2 epigenetic signature. This map provides critical insights into human immune system dynamics across the lifespan, emphasizing unique features of the infant immune system.
- organism: human
- assay: scRNA-seq
- assay: snRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell-cell communication
- research focus: trajectory inference
- approach: experimental assay
- Citations
- 8
- FWCI
- 14.36
- Field percentile
- top 1%
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