Irina M. Khven

The paper maps the lipidomic architecture of the adult mouse brain at micrometric scale, revealing spatial lipid organization and its functional relevance.

SEQURNA improves gene detection in FLASH-seq compared to commercial inhibitors and eliminates the need for DTT, enhancing data quality and reducing costs.

The paper maps lipid distribution across vertebrate development using mass spectrometry imaging and reveals spatially organized metabolic circuits.

Spotiflow improves spot detection in microscopy images using deep learning, achieving subpixel accuracy and efficiency across diverse datasets.

This paper introduces a statistical RNA velocity model that improves dynamical consistency and inference of cell cycle speed from scRNA-seq data.

The paper creates a single-cell transcriptome atlas of mouse brain development, identifying over 1000 cell states and linking tumor cells to developmental states.

The paper discovers a new LAP antibiotic, phazolicin, which inhibits bacterial ribosomes in a species-specific manner by blocking the exit tunnel.