A divergent mutational and clonal landscape in aged HSCs is not linked to aging-associated clonal hematopoiesis
Abstract
Somatic mutations accumulate throughout life and can serve as endogenous markers to trace cellular lineage relationships. In hematopoietic stem cells (HSCs), aging is associated with functional decline and clonal skewing, yet how somatic mutational histories shape clonal architecture at single-cell resolution remains incompletely understood. Here, we leverage single-cell RNA sequencing from murine and human long-term HSCs to identify expressed somatic single-nucleotide variants and reconstruct mutation-based genealogies. To address technical noise inherent to single-cell transcriptomes, we implement a stringent joint variant filtering strategy that exploits daughter cell relationships and probabilistic modeling to distinguish true somatic events from artifacts. Using these high-confidence variants, we infer phylogenetic and clonal relationships among individual HSCs and uncover striking age-dependent differences in lineage structure. Whereas young HSCs show little evidence of hierarchical clonal organization, aged HSCs frequently exhibit structured genealogies consistent with clonal expansion. Integration of mutational, transcriptional, and signature-based analyses further reveals that genetically distinct clones in aged samples are transcriptionally divergent and enriched for pathways linked to aging and DNA damage responses. Together, our findings demonstrate that somatic mutations recovered from single-cell transcriptomes can resolve HSC clonal evolution and reveal age-associated alterations in stem cell dynamics.
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Research summary
The paper claims that somatic mutations in aged hematopoietic stem cells reveal age-associated alterations in stem cell dynamics. This research is relevant as it explores the underlying mechanisms of aging at the cellular level, specifically focusing on how somatic mutations influence the behavior and lineage of stem cells, which is crucial for understanding the aging process and potential interventions.
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