David Ronan Raleigh

This study identifies IL-6 as a driver of immunosuppression in glioblastoma, showing that its inhibition enhances response to immune checkpoint therapy and radiotherapy in preclinical models.

This study shows that Eed is essential for craniofacial osteoblast differentiation and mesenchymal proliferation in neural crest cells, identified through mouse genetics, single-cell RNA sequencing, and epigenetic profiling.

This study identifies high M2-TAM infiltration as an independent poor survival prognostic factor in meningiomas, overriding the beneficial effect of TILs.

The paper generates a single-cell and spatial transcriptomic atlas of human fetal meninges and finds that meningiomas likely originate from dura lineage cells.

The paper investigates how glioma infiltration affects the aperiodic slope of neural dynamics, finding it correlates with excitation dominance and semantic naming impairments.

This paper introduces PARADE, a generative AI framework for designing mRNA UTRs with cell-type specificity, showing improved therapeutic efficacy in preclinical models.

This study uses in vivo perturb-seq to analyze gene function and radiotherapy responses in glioblastoma by targeting cancer and microenvironment cells.

This study identifies a neurovascular progenitor cell type in glioblastoma that links distinct malignant lineages and influences tumor composition and survival.

This study develops CLIPPR, an algorithm that integrates single-cell and bulk RNA-seq data to improve meningioma classification and resolve benign-malignant confusion.

This study combines bulk RNA-Seq datasets to create a transcriptomic landscape of meningiomas, identifies subtypes with distinct biology and prognosis, and provides an interactive tool for outcome prediction.

This paper identifies DYRK2 as a ciliary kinase involved in Hedgehog signal transduction, showing its role in ciliary morphology and skeletal development.