Allegra A. Petti

This study compares single-cell transcriptomes of non-functioning gonadotroph tumors and normal anterior pituitary to identify lineage infidelity and growth-associated programs.

This study compares two murine glioblastoma models using single-cell and spatial transcriptomics to reveal distinct tumor-immune dynamics and their correlation with human GBM survival.

The paper maps CD4+ T cell landscapes in glioblastoma, revealing effector and bystander populations with distinct clonal and transcriptional features across tumor and blood compartments.

This paper introduces AIGE, an AI tool that automates functional gene annotation with high accuracy and self-assessment capabilities.

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.

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.