Dana E. Orange

The paper uses single-nucleus multiome sequencing to analyze subchondral bone in OA, finding increased osteocyte SMAD2/3 activity and chondrocyte-derived FN1 signaling with disease severity.

This study identifies conserved fibroblast subsets and fibrotic mechanisms in osteoarthritis and systemic sclerosis using single-cell RNA-seq and spatial transcriptomics.

This study shows leptin drives OA pain via sensory neuron reprogramming, not cartilage signaling, by analyzing mouse models and human datasets.

SPP1hi macrophages in RA synovial fibrin deposits promote tissue hyperplasia.

The paper identifies four synovial transcriptional clusters in knee OA linked to cartilage degeneration severity through bulk and single-cell RNA-seq analyses.

The paper introduces a standardized, open-source protocol for noninvasive joint injury in mice, resulting in post-traumatic osteoarthritis, and provides tools for reproducibility and analysis.

This study identifies sensory fiber types in mouse TMJ tissues using immunohistochemistry, finding peptidergic fibers dominate with minimal non-peptidergic nociceptors.

This study identifies granzyme K as a driver of a novel complement activation pathway independent of classical, lectin, or alternative pathways.

The paper develops SCENT, a method to create cell-type-specific enhancer-gene maps from single-cell multimodal data, identifying causal variants and genes for diseases.

The paper maps cell-type-specific eQTLs for HLA genes across multiple tissues and identifies dynamic regulation of HLA-DQ genes in immune cells.

The paper deconstructs RA synovium using single-cell data to identify six cell type abundance phenotypes associated with distinct inflammatory states.

The paper develops a low-cost microfluidic instrument for scRNA-seq and applies it to profile synovial tissue from a rheumatoid arthritis patient, identifying 16 transcriptomic clusters and fibroblast subpopulations.