Mariano J. Alvarez

This study identifies non-oncogene dependencies in imatinib-resistant GIST using network-based methods and validates six drugs that reverse MR activity in preclinical models.

The paper identifies 132 master regulators of primed pluripotency in mouse epiblast stem cells and constructs a regulatory network revealing four functionally distinct modules.

The paper validates an RNA-based platform for predicting drug sensitivity in treatment-resistant cancers using patient-derived xenograft models and multi-protein therapies.

The paper identifies widespread transcription initiation at microsatellites across species and develops deep learning models to predict STR-associated transcription and its impact on disease variants.

The paper identifies 407 Master-Regulator proteins that canalize cancer genomics into transcriptional subtypes and links genetic alterations to tumor biology through modular regulatory architectures.

The paper identifies host cell Master Regulator proteins hijacked by SARS-CoV and identifies drugs that can target these proteins to disrupt viral replication.

The paper identifies four molecularly distinct glioblastoma subtypes using single-cell protein-activity analysis and shows drug sensitivity is state-dependent.

The paper introduces metaVIPER, an algorithm to assess protein activity in orphan tissues and single cells by integrating multiple non-tissue-matched interactomes, improving reproducibility of protein-activity signatures.