Albert H. Kim

This paper introduces MOBA-seq, a platform to map genetic regulators of metastasis at single-colony resolution, identifying tissue-specific suppressors and universal essential genes.

This study shows ecDNA forms nuclear condensates and reorganizes chromatin to enhance oncogenic transcription across cancer types.

This study uses single-cell and spatial transcriptomics to identify mutation-associated gene expression programs in meningiomas, linking genetic alterations to tumor and immune cell states.

This study uses spatial transcriptomics to map glioblastoma's spatial architecture, identifying tumor cell states and intercellular interactions along the core-edge axis.

This study identifies NF2 loss-of-function and hypoxia as drivers of radiation resistance in Grade 2 meningiomas through genetic, histopathological, and transcriptional analyses.

This study shows that USP7 deletion in mice causes neurological phenotypes, including synaptic proteome changes and dendritic spine defects, independent of p53.

This study develops CRISPR-engineered glioblastoma organoids to model tumor progression, revealing transcriptional and spatial changes in neurodevelopmental gene networks.

The paper analyzes TILs in GBM using CITE-seq and scRNA-seq to show that CD8+ T cells are predominantly clonally expanded GZMK+ effector cells, lacking canonical exhaustion.

This paper introduces a novel Diffusion Histology Imaging (DHI) approach combining DBSI and machine learning to improve detection and classification of glioblastoma histopathology features.