Sagi Abelson

This study reassesses human mitochondrial DNA methylation using multiple platforms and finds signals likely due to technical artifacts rather than biological methylation.

This study identifies DNA methylation instability in blood cells linked to aging and disease, showing age-related instability and associations with cardiovascular disease and cancer.

This study analyzes over 3.6 million single cells from 1,000 tumors across 14 cancer types to identify heterogeneous cancer cell states linked to patient survival and therapeutic vulnerabilities.

This study shows that hematopoietic Tet2 inactivation improves immune checkpoint blockade response in mice and is associated with better clinical outcomes in melanoma patients with TET2-driven clonal hematopoiesis.

This study shows FLT3 is essential for ITD-mutated leukemic stem cells but not for normal hematopoietic stem cells, supporting targeted therapies for AML.

This paper introduces scATOMIC, a tool for classifying single cells in cancer tumour microenvironments, showing improved accuracy over existing methods across multiple cancer types.

SmMIP-tools processes and analyzes smMIP-derived sequencing data, enabling accurate variant detection and improving accessibility to smMIP technology for genetic research.