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Catrina, A. I.

Publications and source records attributed to Catrina, A. I..

2 recordsLinked to original sources

Graph deep learning reveals multiple signal pathways activated in anti-citrullinated protein antibodies stimulated synoviocytes

AO_SCPLOWBSTRACTC_SCPLOWWe present a study of anti-citrullinated protein antibodies stimulated fibroblast-like synoviocytes from patients with rheumatoid arthritis, which is powered by a novel graph deep learning framework applied to single-cell mRNA expression data. This new analytical framework discovered dominant pathways that suggest IL1-IL1R mediated signaling, a novel signal transduction response to ACPA-stimulation, and comfirmed our previous finding of PI3K/AKT activation in response of ACPA-stimulation as well. The study demonstrated the capability of graph deep learning framework on signaling pathway analysis. The findings suggest that ACPAs contribute to distinct pathogenic events through activating multiple signaling pathways.

molecular biology↗

Three-dimensional spatial transcriptomics uncovers cell type dynamics in the rheumatoid arthritis synovium

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 to study local cellular interactions at the site of chronic synovial inflammation. We report comprehensive spatial RNA-seq data coupled to quantitative and cell type-specific chemokine-driven dynamics at and around organized structures of infiltrating leukocyte cells in the synovium.

genomics↗