Lucy R. Wedderburn

This paper identifies 41 risk loci for juvenile idiopathic arthritis, including 14 novel ones, and presents a polygenic risk score associated with age of onset, along with functional mechanisms involving DNA topology and an HLA-A*02:01-ERAP2 interaction.

This study identifies two distinct Treg states in RA synovial tissues using scRNA-seq, showing one is dysfunctional and reversible through TNFR2 engagement.

This study uses spatial transcriptomics to show mitochondrial dysfunction in JDM muscle tissue, independent of interferon-driven inflammation.

This study identifies spatially distinct fetal and maternal cell contributions to severe preeclampsia, highlighting new maternal immune signatures and potential therapeutic targets.

This paper compares methods for imputing cell-type specific expression from mixed RNA-seq data, finding that machine learning methods like LASSO and ridge outperform domain-specific methods in recovering differential gene expression.

The paper develops a Treg gene and protein signature to predict disease activity in Juvenile Idiopathic Arthritis using machine learning and flow cytometry.

The paper shows oestrogen affects B cell class-switching only in individuals with an XX chromosomal background.

This study uses spectral flow cytometry to characterize the immune landscape of inflamed joints in JIA, identifying site-specific immune cell phenotypes and potential therapeutic targets.