Shamith Samarajiwa

This study shows that lipid droplet accumulation promotes NLRP3 inflammasome activation through glutamine-dependent metabolic reprogramming in macrophages.

The paper models the impact of non-coding SNPs on gene regulatory networks in IBD to stratify patients based on gene dysregulation and therapeutic response.

This study identifies how different KRAS G12 alleles alter glutamine metabolism and nitrogen recycling through FOXO1 regulation in colorectal cancer cells, revealing potential therapeutic targets.

This study shows MLL2 stabilizes 3D chromatin loops during pluripotent cell differentiation without requiring its enzymatic activity.

This paper develops a deep learning model that classifies 13 cancer types and non-cancer tissues using DNA methylation data with 98.2% accuracy, identifying methylation loci linked to cancer-related genes.

This study shows that oncogenic HRAS-induced senescence in human fibroblasts involves enhancer-promoter rewiring and dynamic cohesin binding, particularly at SASP genes.

The paper develops machine and deep learning models to predict chromatin interactions and TAD boundaries using histone modification data, independent of Hi-C data.

SpiderSeqR streamlines access to multi-omic data repositories by integrating GEO and SRA, enabling unified search, annotation conversion, and query management.

Pangaea extracts context-dependent gene relationships from biomedical literature using natural language processing and provides scalable, extensible tools for analysis.

This study shows increased lamin B1 levels in HD neurons disrupt nuclear function, and reducing lamin B1 with betulinic acid improves nuclear homeostasis and prevents motor and cognitive dysfunction in a mouse model.