Matija Snuderl

This study uses spatial transcriptomics to analyze medulloblastoma tumor microenvironments, identifying high-risk features and spatial patterns linked to relapse.

The paper identifies a developmentally regulated long-range enhancer-promoter contact that is critical for SOX2 expression and neuroectodermal differentiation in human neural development.

This study uses FFPE-compatible Hi-C to detect enhancer-hijacking rearrangements in lymphoid cancers, identifying clinically relevant drivers missed by standard methods.

This paper develops Ultra-Rapid droplet digital PCR (UR-ddPCR) for rapid intraoperative tumor mutation detection and quantification, demonstrating its feasibility in 13 glioma cases.

This paper introduces a segmentation-free self-supervised AI model to analyze brain tumor microenvironments, identifying a novel tumor-associated B cell subset linked to improved survival.

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.

This paper develops a functional precision medicine approach using metabolic imaging to predict glioblastoma treatment response early in ex-vivo organoids, identifying responder and non-responder groups and a new molecular signature.

This paper introduces a fiberoptic probe for hemodynamic spectroscopy in freely-moving mice, showing cerebrovascular dysregulation in Alzheimer's and glioma models.

The paper investigates how H3K27M mutations inhibit PRC2 in DIPG, revealing mechanisms of chromatin alteration and PRC2 dysfunction.