{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Edalat SG"],"funding":["Swiss National Science Foundation","University Hospital Zurich","University of Zurich"],"pagination":["109707"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11144743"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["27(6)"],"pubmed_abstract":["In this study, we optimized the dissociation of synovial tissue biopsies for single-cell omics studies and created a single-cell atlas of human synovium in inflammatory arthritis. The optimized protocol allowed consistent isolation of highly viable cells from tiny fresh synovial biopsies, minimizing the synovial biopsy drop-out rate. The synovium scRNA-seq atlas contained over 100,000 unsorted synovial cells from 25 synovial tissues affected by inflammatory arthritis, including 16 structural, 11 lymphoid, and 15 myeloid cell clusters. This synovial cell map expanded the diversity of synovial cell types/states, detected synovial neutrophils, and broadened synovial endothelial cell classification. We revealed tissue-resident macrophage subsets with proposed matrix-sensing (FOLR2+COLEC12<sup>"],"journal":["iScience"],"pubmed_title":["Molecular maps of synovial cells in inflammatory arthritis using an optimized synovial tissue dissociation protocol."],"pmcid":["PMC11144743"],"funding_grant_id":["176061","204869"],"pubmed_authors":["Polido-Pereira J","Burja B","Cucnik S","Distler O","Edalat SG","Fonseca JE","Sodin-Semrl S","Robinson MD","Romao VC","Burki K","Micheroli R","Frank Bertoncelj M","Kuret T","Rotar Z","Lingam S","Calado A","Pfanner T","Gerber R","Ospelt C","Saraiva F","Izanc N","Tomsic M","Palacios Cisneros MDP","Houtman M","Luckgen J","Teixeira RL","Pauli C"],"additional_accession":[]},"is_claimable":false,"name":"Molecular maps of synovial cells in inflammatory arthritis using an optimized synovial tissue dissociation protocol.","description":"In this study, we optimized the dissociation of synovial tissue biopsies for single-cell omics studies and created a single-cell atlas of human synovium in inflammatory arthritis. The optimized protocol allowed consistent isolation of highly viable cells from tiny fresh synovial biopsies, minimizing the synovial biopsy drop-out rate. The synovium scRNA-seq atlas contained over 100,000 unsorted synovial cells from 25 synovial tissues affected by inflammatory arthritis, including 16 structural, 11 lymphoid, and 15 myeloid cell clusters. This synovial cell map expanded the diversity of synovial cell types/states, detected synovial neutrophils, and broadened synovial endothelial cell classification. We revealed tissue-resident macrophage subsets with proposed matrix-sensing (FOLR2+COLEC12<sup>","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Jun","modification":"2026-06-01T17:31:35.315Z","creation":"2026-04-08T14:22:16.911Z"},"accession":"S-EPMC11144743","cross_references":{"pubmed":["38832018"],"doi":["10.1016/j.isci.2024.109707"]}}