Following analyses of 22 single-cell studies, several themes emerged. A small subpopulation of cells can have a large impact on disease pathogenesis. Multiple cell types identified via scRNA-seq play supporting roles in PSO pathogenesis, contrary to the traditional paradigm focusing on IL-23/IL-17 signaling among dendritic cells and T cells. Immune cell states are dynamic, with psoriatic subpopulations aberrantly re-activating and differentiating into inflammatory phenotypes depending on surrounding signaling cues. Comparison of circulating immune cells with resident skin/joint cells has uncovered specific T cell clonotypes associated with the disease. Finally, machine learning models demonstrate great promise in identifying biomarkers to diagnose clinically ambiguous rashes and PSA at earlier stages.
Keyphrases
- single cell
- rna seq
- induced apoptosis
- dendritic cells
- machine learning
- cell cycle arrest
- rheumatoid arthritis
- prostate cancer
- high throughput
- signaling pathway
- immune response
- oxidative stress
- endoplasmic reticulum stress
- cell proliferation
- gene expression
- case control
- magnetic resonance imaging
- genome wide
- stem cells
- mesenchymal stem cells
- patient safety
- artificial intelligence
- ankylosing spondylitis
- bone marrow
- contrast enhanced