Dinh H. Diep

The paper uses multiomic single-cell and spatial data to identify gene regulatory networks and transcription factors driving cortical regionality in the human brain.

The paper builds a cross-species single-cell multi-omics kidney atlas to identify epithelial cells as a driver of epigenetic aging in diseased kidneys.

The paper presents a multi-modal atlas of human kidney disease, identifying cellular and spatial mechanisms of injury resolution or failure and linking them to clinical outcomes.

The paper creates a high-resolution multimodal lung atlas using single-nucleus RNA and chromatin data from 11 healthy adults, identifying 70 cell populations and 332,846 chromatin regions.

The paper defines the chromatin landscape of healthy and injured kidney cells using multi-omics data, identifying regulatory elements and transcription factor networks involved in injury response.

The paper creates a high-resolution cellular atlas of healthy and injured kidney cell states and niches using single-cell and spatial technologies, identifying molecular signatures and pathways related to kidney injury.

The paper compares cellular diversity in the primary motor cortex across human, marmoset, and mouse using single-nucleus transcriptomics and epigenomics, finding conserved cell types and species-specific adaptations.

The paper generates a multimodal cell census and atlas of the mammalian primary motor cortex, revealing a unified molecular genetic landscape and cross-species taxonomy of cell types.