Anna Lasorella

The paper integrates single-nucleus RNA and ATAC sequencing to identify cellular states and regulatory networks associated with the G-CIMP epigenomic transition in IDH-mutant gliomas.

This study analyzes the epigenetic evolution of IDH1-mutant and IDH1-wildtype gliomas under treatment, showing IDHmut tumors undergo epigenomic changes resembling IDHwt tumors, with implications for treatment strategies.

SCOPE-seq2 integrates single-cell imaging and RNA-seq with improved throughput and accuracy for analyzing human glioblastoma cells.

The paper introduces scTHI, a method to identify ligand-receptor interactions in glioma using single-cell RNA sequencing data from six human datasets.

This paper introduces scHPF, a Bayesian method for discovering gene signatures from scRNA-seq without prior normalization, and finds spatially biased expression patterns in glioma regions linked to poor survival.

RGBM identifies transcriptional regulators of glioma subtypes by inferring gene regulatory networks from diverse data sources and outperforming existing methods on benchmark datasets.