Kimberly Y. Conklin

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 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.