Understanding Spondyloarthritis Pathogenesis: The Promise of Single-Cell Profiling.
Joerg ErmannMicah LeftonKevin WeiMaria Gutierrez-ArcelusPublished in: Current rheumatology reports (2024)
The introduction of sequencing-based approaches for the quantification of RNA, protein, or epigenetic modifications at single-cell resolution has provided a major boost to discovery-driven research. Fluorescent flow cytometry, mass cytometry, and image-based cytometry continue to evolve. Spatial transcriptomics and imaging mass cytometry have extended high-dimensional analysis to cells in tissues. Applications in spondyloarthritis include the indexing and functional characterization of cells, discovery of disease-associated cell states, and identification of signatures associated with therapeutic responses. Single-cell TCR-seq has provided evidence for clonal expansion of CD8+ T cells in spondyloarthritis. The use of single-cell profiling approaches in spondyloarthritis research is still in its early stages. Challenges include high cost and limited availability of diseased tissue samples. To harness the full potential of the rapidly expanding technical capabilities, large-scale collaborative efforts are imperative.
Keyphrases
- single cell
- rna seq
- high throughput
- ankylosing spondylitis
- disease activity
- induced apoptosis
- flow cytometry
- cell cycle arrest
- small molecule
- gene expression
- rheumatoid arthritis
- high resolution
- cell death
- deep learning
- quality improvement
- systemic lupus erythematosus
- endoplasmic reticulum stress
- genome wide
- photodynamic therapy
- mesenchymal stem cells
- bone marrow
- machine learning
- mass spectrometry
- artificial intelligence
- cell therapy