Anna Martinez Casals

The paper constructs a single-cell multiomics atlas of the human pancreas across development, health, and T2D, identifying plastic cell states and lineage trajectories.

The paper uses spatial proteomics to analyze primary cilia proteomes across cell lines, revealing cell-type specificity and single-cilia heterogeneity, and identifies novel cilia proteins and potential genetic variants.

This paper introduces RIBCA, a tool for automated cell type annotation in multiplexed tissue images, capable of annotating over 3 million cells across 40 human tissues without manual intervention.

PIP{Sigma}X provides an automated, user-friendly pipeline for analyzing multiplexed tissue images, enabling robust spatial analysis and integration with visualization tools.

This paper introduces mxDVP, a method combining high-plex imaging and mass spectrometry to profile pancreatic islets, identifying 12 endocrine subtypes and revealing spatial heterogeneity and rare cell states.

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

This study maps the spatial organization of the developing human lung using high-parametric protein imaging, revealing cell type composition and temporal changes across five developmental timepoints.

The paper creates a comprehensive topographic atlas of early human lung development, identifying cell states, trajectories, and interactions to understand cell heterogeneity origins.