Gavin P. Dunn

Toward A Whole-Brain Interface Enabled by High-Resolution Surface Electrophysiology

This paper presents a functional atlas of the human central nervous system using high-resolution surface electrophysiology from 70 patients, revealing conserved electrophysiological patterns and enabling neuroprosthetic applications.

Integrated spatial and single-cell transcriptomic analysis of aggressive glioblastoma growth dynamics.

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.

Mapping CD4+ T Cell Landscapes in Glioblastoma Reveals Effectors and Bystanders

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.

Single-Cell Analysis of Meningiomas Reveals Mutation-Associated Tumor and Immune Cell Gene Expression Programs

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.

Mapping the spatial architecture of glioblastoma from core to edge delineates niche-specific tumor cell states and intercellular interactions

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

Intratumoral gene delivery of 4-1BBL boosts IL-12-triggered anti-glioblastoma immunity

This study shows that delivering 4-1BBL via AAV enhances IL-12-induced anti-glioblastoma immunity in mouse models by boosting CD8 T cell activity and survival.

Computational prediction of MHC anchor locations guide neoantigen identification and prioritization

The paper predicts MHC anchor positions for 328 HLA alleles and shows that incorporating these improves neoantigen identification by correcting misclassified candidates in tumor samples.

RegTools: Integrated analysis of genomic and transcriptomic data for the discovery of splice-associated variants in cancer

RegTools identifies splice-associated variants in cancer by integrating genomic and transcriptomic data across 9,000 tumor samples, discovering 235,778 splicing events.