Glenn T Merlino

The paper identifies one-carbon and SSP metabolism pathways as key regulators of tumor metastasis and discovers three compounds that inhibit these pathways to block metastasis.

The paper uses long-read sequencing to analyze genomic and epigenomic changes in melanoma subclones, revealing parallel evolutionary paths and lineage-specific methylation patterns.

The paper models gene expression adaptation in tumor subclones using stochastic processes and finds non-genetic mechanisms drive subclonal evolution and treatment response.

This study develops mouse models of brain metastatic melanoma to identify immune and molecular factors influencing response to immunotherapy.

This paper identifies rs117132860 as a functional variant at 7p21.1 that regulates AHR expression in response to UVB, contributing to melanoma risk and tanning ability.

Trisicell infers subclonal expansion patterns and therapeutic impact of intratumor heterogeneity from scRNAseq data, revealing correlations between mutational composition and tumor aggressiveness.

PhISCS-BnB computes the most likely perfect tumor phylogeny from single-cell sequencing data, offering optimality guarantees and significant speed improvements over existing methods.