{"doi":"10.1101/2023.01.12.523760","title":"Multiparametric senescent cell phenotyping reveals CD24 osteolineage cells as targets of senolytic therapy in the aged murine skeleton","abstract":"ABSTRACT Senescence drives organismal aging, yet the deep characterization of senescent cells in vivo remains incomplete. Here, we applied mass cytometry by time-of-flight (CyTOF) using carefully validated antibodies to analyze senescent cells at single-cell resolution. We used multiple criteria to identify senescent mesenchymal cells that were growth arrested and resistant to apoptosis (p16+/Ki67-/BCL-2+; “p16KB” cells). These cells were highly enriched for senescence-associated secretory phenotype (SASP) and DNA damage markers and were strongly associated with age. p16KB cell percentages were also increased in CD24+ osteolineage cells, which exhibited an inflammatory SASP in aged mice and were robustly cleared by both genetic and pharmacologic senolytic therapies. Following isolation, CD24+ skeletal cells exhibited growth arrest, SA-βgal positivity, and impaired osteogenesis in vitro . These studies thus provide a new approach using multiplexed protein profiling by CyTOF to define senescent mesenchymal cells in vivo and identify a highly inflammatory, senescent CD24+ osteolineage population cleared by senolytics.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2023,"id":395649,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9484,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":804106,"name":"Dominik Saul","orcid":"0000-0002-0673-3710","position":1,"is_corresponding":false},{"id":318471,"name":"Japneet Kaur","orcid":"0000-0001-9624-017X","position":2,"is_corresponding":false},{"id":264538,"name":"Jennifer L. Rowsey","orcid":"0009-0005-0677-7907","position":3,"is_corresponding":false},{"id":244089,"name":"Stephanie J. B. Vos","orcid":null,"position":4,"is_corresponding":false},{"id":230194,"name":"Kevin D. Pavelko","orcid":"0000-0001-7555-1315","position":5,"is_corresponding":false},{"id":241934,"name":"Joshua N. Farr","orcid":"0000-0002-3179-6414","position":6,"is_corresponding":false},{"id":241933,"name":"David G. Monroe","orcid":"0000-0002-4818-0114","position":7,"is_corresponding":false},{"id":233684,"name":"Sundeep Khosla","orcid":"0000-0002-2936-4372","position":8,"is_corresponding":false},{"id":488558,"name":"Madison L. Doolittle","orcid":"0000-0003-0912-0095","position":0,"is_corresponding":true}],"reference_count":123,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:19:22.857556Z","pmid":"36711531","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}