Three-dimensional spatial transcriptomics uncovers cell type localizations in the human rheumatoid arthritis synovium.
Sanja VickovicDenis SchapiroKonstantin CarlbergBritta LötstedtLudvig LarssonFranziska HildebrandtMarina KorotkovaAase H HensvoldAnca I CatrinaPeter Karl SorgerVivianne MalmströmAviv RegevPatrik L StåhlPublished in: Communications biology (2022)
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.
Keyphrases
- single cell
- rna seq
- rheumatoid arthritis
- high throughput
- disease activity
- ankylosing spondylitis
- oxidative stress
- endothelial cells
- induced apoptosis
- interstitial lung disease
- systemic lupus erythematosus
- high resolution
- electronic health record
- machine learning
- stem cells
- drug induced
- single molecule
- induced pluripotent stem cells
- endoplasmic reticulum stress