Journal
COMMUNICATIONS BIOLOGY
Volume 5, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s42003-022-03050-3
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Funding
- Knut and Alice Wallenberg Foundation
- Royal Swedish Academy of Sciences
- Swedish Society for Medical Research
- FOREUM, Foundation for Research in Rheumatology
- European Research Council [CoG 2017 - 7722209]
- Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse
- Margareta af Ugglas stiftelse
- Swedish Rheumatism Association
- Swedish Research Council
- Science for Life Laboratory
- Klarman Cell Observatory
- HHMI
- University of Zurich BioEntrepreneur-Fellowship [BIOEF-17-001]
- Swiss National Science Foundation Early Postdoc Mobility fellowship [P2ZHP3_181475]
- BMBF [01ZZ2004]
- Damon Runyon Cancer Research Foundation [DRQ-03-20]
- NCI [U54-CA225088]
- Knut and Alice Wallenberg Fellow at the Broad Institute of MIT and Harvard
- Swiss National Science Foundation (SNF) [P2ZHP3_181475] Funding Source: Swiss National Science Foundation (SNF)
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Spatial transcriptomics is used to study the local interactions in synovial tissue of rheumatoid arthritis patients. The results provide valuable insights into the spatial organization of cell populations and inflammation associated with rheumatoid arthritis.
The inflamed rheumatic joint is a highly heterogeneous and complex tissue with dynamic recruitment and expansion of multiple cell types that interact in multifaceted ways within a localized area. Rheumatoid arthritis synovium has primarily been studied either by immunostaining or by molecular profiling after tissue homogenization. Here, we use Spatial Transcriptomics, where tissue-resident RNA is spatially labeled in situ with barcodes in a transcriptome-wide fashion, to study local tissue interactions at the site of chronic synovial inflammation. We report comprehensive spatial RNA-Seq data coupled to cell type-specific localization patterns at and around organized structures of infiltrating leukocyte cells in the synovium. Combining morphological features and high-throughput spatially resolved transcriptomics may be able to provide higher statistical power and more insights into monitoring disease severity and treatment-specific responses in seropositive and seronegative rheumatoid arthritis. Sanja Vickovic et al. use spatial transcriptomics to probe the local synovial tissue interactions in rheumatoid arthritis (RA) patients. Their results provide a valuable resource to understand the spatial organisation of cell populations in the synovium in the context of RA-associated inflammation.
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