Noam Auslander

This study identifies loss of intestinal 1,2-fucose in HIV-treated individuals as a modifiable host-microbiome mechanism linked to inflammation, barrier dysfunction, and aging.

ERVmancer is a phylogeny-informed method that resolves read-mapping ambiguity for HERVs, outperforming existing approaches and revealing new biology in breast cancer.

This study uses single-cell lineage tracing to map clonal and transcriptional dynamics in melanoma metastasis, identifying distinct transcriptional programs and spatial organization patterns.

This study identifies drug-tolerant persister states in melanoma using MeRLin, showing their role in resistance and tumor recurrence.

OncoBERT models somatic mutations in cancer to identify patient-specific subtypes and improve prediction of treatment response by integrating mutational context with clinical biomarkers.

This study identifies UVRAG as a negative regulator of NOTCH1 by promoting K27-linked ubiquitination and lysosomal degradation, revealing a checkpoint to prevent excessive NOTCH signaling.

This study identifies microbiome-derived protein biomarkers for predicting immunotherapy response and toxicity in melanoma without relying on taxonomic classification.

This study shows targeting the LxCxE cleft pocket of Rb in M2 macrophages inhibits ovarian cancer progression by reducing immunosuppressive TAMs and enhancing T cell infiltration.

The paper identifies an inhibitor of S-acyltransferase ZDHHC20 that suppresses Kras mutant lung tumor growth and improves survival.

The paper develops viRNAtrap, a deep learning-based pipeline to identify and characterize viral expression in cancer, revealing new viruses and endogenous viruses linked to poor survival.

The paper introduces a functional genomic complexity (FGC) score to assess genomic heterogeneity in liver cancer, finding higher FGC correlates with worse prognosis and immune evasion.

This paper uses LSTMs to model mutational time series in cancer, predicting mutation occurrence and identifying conditional drivers and their interactions.