iScience (Jun 2024)

Molecular maps of synovial cells in inflammatory arthritis using an optimized synovial tissue dissociation protocol

  • Sam G. Edalat,
  • Reto Gerber,
  • Miranda Houtman,
  • Janine Lückgen,
  • Rui Lourenço Teixeira,
  • Maria del Pilar Palacios Cisneros,
  • Tamara Pfanner,
  • Tadeja Kuret,
  • Nadja Ižanc,
  • Raphael Micheroli,
  • Joaquim Polido-Pereira,
  • Fernando Saraiva,
  • Swathi Lingam,
  • Kristina Burki,
  • Blaž Burja,
  • Chantal Pauli,
  • Žiga Rotar,
  • Matija Tomšič,
  • Saša Čučnik,
  • João Eurico Fonseca,
  • Oliver Distler,
  • Ângelo Calado,
  • Vasco C. Romão,
  • Caroline Ospelt,
  • Snežna Sodin-Semrl,
  • Mark D. Robinson,
  • Mojca Frank Bertoncelj

Journal volume & issue
Vol. 27, no. 6
p. 109707

Abstract

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Summary: 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+COLEC12high) and iron-recycling (LYVE1+SLC40A1+) activities and identified fibroblast subsets with proposed functions in cartilage breakdown (SOD2highSAA1+SAA2+SDC4+) and extracellular matrix remodeling (SERPINE1+COL5A3+LOXL2+). Our study offers an efficient synovium dissociation method and a reference scRNA-seq resource, that advances the current understanding of synovial cell heterogeneity in inflammatory arthritis.

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