Melissa Kartawinata

The paper shows that nuclear actin and replication stress regulate telomerase recruitment to telomeres via ATR and mTOR, enabling telomere length maintenance in human cells.

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

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.