Jesse S. Boehm

The paper identifies a core regulatory circuit in rhabdomyosarcoma and shows that targeting two co-activators synergistically inhibits tumor growth.

The paper identifies O-mannosylation and protein maturation as therapeutic targets in BRAF fusion oncogenesis by showing their necessity for fusion-induced transformation.

Chronos infers gene knockout fitness effects by explicitly modelling cell proliferation dynamics after knockout, using longitudinal readouts and correcting several known screen biases.

The paper uses Perturb-seq to assess the phenotypic impact of somatic variants in cancer, revealing a continuum of gain-of-function KRAS variants.

The paper improves gene dependency estimation from RNAi screens by using model-based normalization and data integration, enhancing accuracy and enabling cross-dataset analysis.

This paper identifies a vulnerability in clear-cell renal cell carcinoma cells to ferroptosis induced by GPX4 inhibition, driven by the HIF-2-HILPDA pathway and PUFA-lipid enrichment.

GeNets provides a platform to compare genomic networks using machine learning and allows analysis of genetic and RNA sequencing data.

The paper introduces the L1000 platform, a high-throughput gene expression profiling method, and reports 1.3 million perturbational profiles expanding the Connectivity Map for drug mechanism discovery and functional annotation.

The paper develops CERES, a computational method to correct copy-number effects in CRISPR-Cas9 essentiality screens, improving specificity in cancer cell line studies.

The paper uses morphological profiling to identify gene function and connectivity, revealing TRAF2/C-REL's negative regulation of Hippo pathway effectors.

The paper quantifies network mutation burdens across 21 tumor types to identify putative cancer genes, finding 62 new candidates with greater sensitivity for low-frequency mutations.