Abstract

Senescence drives organismal aging, yet the deep characterization of senescent cells in vivo remains incomplete. Here, we apply mass cytometry by time-of-flight using carefully validated antibodies to analyze senescent cells at single-cell resolution. We use multiple criteria to identify senescent mesenchymal cells that are growth-arrested and resistant to apoptosis. These p16 + Ki67-BCL-2+ cells are highly enriched for senescence-associated secretory phenotype and DNA damage markers, are strongly associated with age, and their percentages are increased in late osteoblasts/osteocytes and CD24high osteolineage cells. Moreover, both late osteoblasts/osteocytes and CD24high osteolineage cells are robustly cleared by genetic and pharmacologic senolytic therapies in aged mice. Following isolation, CD24+ skeletal cells exhibit growth arrest, senescence-associated β-galactosidase positivity, and impaired osteogenesis in vitro. These studies thus provide an approach using multiplexed protein profiling to define senescent mesenchymal cells in vivo and identify specific skeletal cell populations cleared by senolytics.

Technical challenges have previously hindered the detailed study of in vivo senescent cells. Here, the authors deeply characterize senescent skeletal cells across murine aging, establishing CD24 as a marker of osteolineage cells cleared by senolytics.

Details

Title
Multiparametric senescent cell phenotyping reveals targets of senolytic therapy in the aged murine skeleton
Author
Doolittle, Madison L. 1   VIAFID ORCID Logo  ; Saul, Dominik 2   VIAFID ORCID Logo  ; Kaur, Japneet 1 ; Rowsey, Jennifer L. 1 ; Vos, Stephanie J. 1 ; Pavelko, Kevin D. 3   VIAFID ORCID Logo  ; Farr, Joshua N. 1   VIAFID ORCID Logo  ; Monroe, David G. 1   VIAFID ORCID Logo  ; Khosla, Sundeep 1   VIAFID ORCID Logo 

 Diabetes and Metabolism, Mayo Clinic, Division of Endocrinology, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X); Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X) 
 Diabetes and Metabolism, Mayo Clinic, Division of Endocrinology, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X); Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X); BG Clinic, University of Tübingen, Department for Trauma and Reconstructive Surgery, Tübingen, Germany (GRID:grid.10392.39) (ISNI:0000 0001 2190 1447) 
 Department of Immunology, Mayo Clinic, Rochester, USA (GRID:grid.66875.3a) (ISNI:0000 0004 0459 167X) 
Pages
4587
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2843968680
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.