Elizabeth J. Tuck

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

The paper presents a spatial transcriptomic atlas of autism-associated genes in the developing human brain, identifying convergence in the thalamus and germinal zones.

This study uses single-cell transcriptomics to compare in vitro and in vivo chondrocyte differentiation, identifies off-target differentiation, and improves in vitro protocols by inhibiting FOXO1.

The paper creates a regulon atlas mapping TF activity across human cell types and uses it to link disease signatures to cell types and TFs, improving disease risk locus analysis.

The paper identifies a spatiotemporal cancer cell trajectory in glioblastoma that explains tumor heterogeneity across regions and subclones.

The paper maps the spatial organization of the human thymus across developmental stages using a multimodal atlas and identifies key cellular and molecular features of T cell development.

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.

This study creates a developmental cell atlas of the human thyroid gland using single-cell sequencing, revealing cell type heterogeneity and its implications in thyroid disorders and cancer.

This study constructs a multiomic atlas of human early skeletal development using single-nuclei transcriptomics, epigenomics, and spatial transcriptomics to uncover regulatory mechanisms and cell states involved in bone and joint formation.

This study uses single-cell transcriptomics to map the early placental response to three pathogens in first-trimester human placenta, identifying coordinated inflammatory responses and pathogen-specific effects.

This study develops a multi-omic reference of human cardiac development and identifies disruptions in Trisomy 21 hearts.

This paper creates a human embryonic limb cell atlas using single-cell and spatial transcriptomics, identifying novel cell populations and developmental patterns.

This paper uses spatial transcriptomics and single-cell data to identify cellular niches in the human heart, revealing new insights into cardiac function and potential drug targets.

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.

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 investigates KPTN-related disorder using mouse and human stem cell models, identifying mTOR pathway dysregulation as a key mechanism underlying cognitive and overgrowth phenotypes.

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.

The paper characterizes the cellular composition and gene expression of the adult human heart using single-cell transcriptomics, identifying distinct cell types and their functional roles.