Carlos Alberto Oliveira de Biagi

The paper uses single-cell and spatial multi-omic analyses to characterize cellular diversity in RTK-fused gliomas across pediatric age groups, identifying distinct cancer cell states and myeloid subgroups.

This study integrates single-cell and spatial transcriptomics with live-cell imaging to characterize tumor heterogeneity in supratentorial ependymomas, revealing distinct progenitor-like states and spatial organization patterns.

This study shows serotonergic neurons promote high-grade glioma growth via 5HT2A receptor activation, with psychedelic drugs enhancing this effect.

This study identifies CD155 as a key regulator of tumor growth and immune evasion in diffuse midline glioma, showing that targeting CD155 or its downstream target FOXM1 can inhibit tumor progression.

This study analyzes immune cell dynamics in HPV-negative HNSCC using single-cell RNA sequencing to identify molecular signatures and communication patterns associated with disease progression.

CeTF identifies transcription factors regulating gene networks using PCIT and RIF analysis on gene expression data from various platforms.