Valentina Lorenzi

TERRA is a foundation model for spatial transcriptomics that predicts tissue behavior under perturbation and identifies multi-scale biological insights across tissues.

This study uses spatial transcriptomics to map gene expression gradients in the human endometrium, revealing coordinated regeneration and niche architecture during menstrual breakdown.

This paper creates an integrated multimodal atlas of the female reproductive system across the lifespan, identifying cell types and linking them to gynaecological pathologies.

The paper identifies a transient epithelial plasticity state that regulates uterine gland specification through ESR1, retinoic acid signaling, and FOXA2.

Human Developmental Cell Atlas integrates ~4.6 million cells/nuclei from 4-22 post-conception weeks into 454 refined cell types and maps 114 spatial niches across 6PCW whole-embryo sections.

This study creates a single-cell multiomics atlas of B cell development in prenatal and adult bone marrow and in vitro models, identifying novel cell subsets and molecular signatures.

The paper introduces scCellFie, a framework to infer metabolic activities from single-cell and spatial transcriptomics data, revealing organ-specific metabolic programs and disease-associated alterations.

This study creates a single-cell spatial atlas of the developing human reproductive tract, identifying genes and mechanisms involved in sexual dimorphism and organ development.

The paper constructs a high-resolution single-cell reference atlas of the human endometrium, identifying cell types, states, and signaling networks, and links them to endometriosis.

The paper maps the multi-organ functions of the human yolk sac during early development, revealing its roles in hematopoiesis, nutrition, and oxygen regulation.

The paper generates a molecular map of human in vitro myelopoiesis from iPSC to macrophages, revealing conserved regulatory networks and new myeloid progenitors.

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.