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An integrated analysis of glioma samples from patients with neurofibromatosis 1 annotates their mutational, epigenetic, transcriptional, and immunological features and uncovers similitudes with a subset of sporadic gliomas.
Personal ‘omics’ analysis of a single individual over a period of 3 years reveals that different types of omics data associate with episodes of acute and chronic disease.
A resource of preclinical pediatric brain tumor models with detailed molecular characterization provides a platform for the community to test novel therapeutic approaches.
A quantitative proteomic approach overcomes a major bottleneck in translational immunology, namely the identification of autologous and bacterial immunodominant major histocompatibility complex class II epitopes based on genomic sequences.
In-depth methylation analysis of formalin-fixed paraffin-embedded glioblastoma samples demonstrates heterogeneity between primary and recurring tumors and enables prediction of composition of the tumor microenvironment and insights into progression.
A comprehensive single-cell analysis of the lung cancer microenvironment reveals marked heterogeneity of transcriptional networks that defines novel clinically relevant stromal cell populations.
An integrated resource of (epi)genomic features in annotated chronic lymphocytic leukemia (CLL) primary samples uncovers subgroup-specific regulatory alterations associated with clinical behavior.
Comprehensive integration of mutational and structural alterations in clinically-annotated DLBCL patient samples provides a novel molecular classification of the disease.