Mariia O. Yuneva

The paper identifies histidine as a key substrate for LAT1 that supports mTORC1 signaling and proliferation in glutamine-addicted breast cancers, revealing a metabolic vulnerability.

This study identifies an ISR-independent role of GCN2 in preventing excessive ribosome biogenesis and mRNA translation, with implications for cancer therapy.

The paper introduces a method to identify metabolic switches in breast cancer transcriptomes, revealing gene clusters associated with mitochondrial and metabolic states and their clinical implications.

The paper uses deep learning with t-SNE to analyze large datasets and overcome size limitations in bioinformatics.