A new gene set identifies senescent cells and predicts senescence-associated pathways across tissues

Although cellular senescence drives multiple age-related co-morbidities through the senescence-associated secretory phenotype, in vivo senescent cell identification remains challenging. Here, we generate a gene set (SenMayo) and validate its enrichment in bone biopsies from two aged human cohorts. We further demonstrate reductions in SenMayo in bone following genetic clearance of senescent cells in mice and in adipose tissue from humans following pharmacological senescent cell clearance. We next use SenMayo to identify senescent hematopoietic or mesenchymal cells at the single cell level from human and murine bone marrow/bone scRNA-seq data. Thus, SenMayo identifies senescent cells across tissues and species…

• FF
  Foundation for the National Institutes of Health

  Awards: AG065868, R33AG 61456, R37 AG 013925, AG 013925, AR070241
• NF
  Noaber Foundation
• DF
  Deutsche Forschungsgemeinschaft

  Awards: 413501650, D.F.G., 413501650
• DK
  Deutsche Krebshilfe
• DM
  Dr. Mildred Scheel Stiftung für Krebsforschung
• NI
  National Institutes of Health

  Awards: AG062413, R01 AG076515, 1R01AG068048-01, R37 AG 013925, K01 AR070241, AG065868, R01 AG063707, R21 AG065868, P01 AG062413