Anna Arutyunyan

The paper uses genetic perturbation and machine learning to analyze the energetics of amyloid beta nucleation, revealing its genetic architecture and transition state structure.

The paper identifies a uNK-derived cytokine signal that promotes trophoblast differentiation and influences placental function and pregnancy outcomes.

The paper introduces a method to determine X-inactivation states in single-cell transcriptomes and uses it to infer cellular phylogenies in human females.

This study creates a spatially resolved single-cell multiomics atlas of human trophoblast differentiation in early pregnancy, revealing key regulatory programs and cell-cell communication events involved in EVT invasion and arterial transformation.

cell2location uses a Bayesian model to integrate single-cell and spatial transcriptomics, mapping cell types in situ across mouse brain regions and human lymph node immune compartments.

This study maps the temporal and spatial dynamics of the human endometrium using single-cell and spatial reference maps, identifying key signaling pathways regulating cell fate in vivo and in vitro.