{"doi":"10.1016/j.ocarto.2023.100416","title":"Imaging mass cytometry reveals tissue-specific cellular immune phenotypes in the mouse knee following ACL injury","abstract":"ObjectiveTo develop an imaging mass cytometry method for identifying complex cell phenotypes, inter-cellular interactions, and population changes in the synovium and infrapatellar fat pad (IFP) of the mouse knee following a non-invasive compression injury.DesignFifteen male C57BL/6 mice were fed a high-fat diet for 8 weeks prior to random assignment to sham, 0.88 ​mm, or 1.7 ​mm knee compression displacement at 24 weeks of age. 2-weeks after loading, limbs were prepared for histologic and imaging mass cytometry analysis, focusing on myeloid immune cell populations in the synovium and IFP.Results1.7 ​mm compression caused anterior cruciate ligament (ACL) rupture, development of post-traumatic osteoarthritis, and a 2- to 3-fold increase in cellularity of synovium and IFP tissues compared to sham or 0.88 ​mm compression. Imaging mass cytometry identified 11 myeloid cell subpopulations in synovium and 7 in IFP, of which approximately half were elevated 2 weeks after ACL injury in association with the vasculature. Notably, two monocyte/macrophage subpopulations and an MHC IIhi population were elevated 2-weeks post-injury in the synovium but not IFP. Vascular and immune cell interactions were particularly diverse in the synovium, incorporating 8 unique combinations of 5 myeloid cell populations, including a monocyte/macrophage population, an MHC IIhi population, and 3 different undefined F4/80+ myeloid populations.ConclusionsDeveloping an imaging mass cytometry method for the mouse enabled us to identify a diverse array of synovial and IFP vascular-associated myeloid cell subpopulations. These subpopulations were differentially elevated in synovial and IFP tissues 2-weeks post injury, providing new details on tissue-specific immune regulation.","journal":"Osteoarthritis and Cartilage Open","year":2023,"id":343603,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":14,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9585,"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":494222,"name":"M. Caleb Marlin","orcid":"0000-0003-0453-5355","position":1,"is_corresponding":false},{"id":626591,"name":"Padmaja Mehta-D’souza","orcid":"0009-0000-5568-8373","position":2,"is_corresponding":false},{"id":1082071,"name":"Tayte Stephens","orcid":null,"position":3,"is_corresponding":false},{"id":1082072,"name":"Taylor Conner","orcid":null,"position":4,"is_corresponding":false},{"id":1082073,"name":"Kevin G. Burt","orcid":null,"position":5,"is_corresponding":false},{"id":226232,"name":"Joel M. Guthridge","orcid":"0000-0002-9308-237X","position":6,"is_corresponding":false},{"id":927768,"name":"Carla R. Scanzello","orcid":"0000-0002-9290-188X","position":7,"is_corresponding":false},{"id":309313,"name":"Timothy M. Griffin","orcid":"0000-0001-8840-9940","position":8,"is_corresponding":false},{"id":1082070,"name":"Sanique South","orcid":null,"position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T01:11:26.556051Z","pmid":"38107076","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":[]}