Maria Kasper

The paper builds a spatiotemporal map of human pilosebaceous unit development using single-cell multiomics and machine learning, showing how epithelial-mesenchymal interactions drive organogenesis and how sebaceous gland programs are disrupted in tumors.

The paper introduces scAtlasTb, a framework for building and optimizing single-cell reference atlases, demonstrating its application on three Human Cell Atlas projects.

The paper constructs a scRNA-seq atlas of chronic inflammatory skin diseases by integrating datasets from 27 diseases, identifying shared and disease-specific inflammatory signatures.

This study creates a spatial genomics atlas of human skin fibroblasts in health and disease, identifying six major populations and three disease-specific subtypes.

The paper constructs a spatial transcriptomic atlas of human skin, identifying 45 cell types across 15 sites and revealing neighborhood disruptions in disease.

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.

This study maps the spatiotemporal cellular dynamics of human skin wound healing using single-cell and spatial transcriptomics, identifying FOSL1 as critical for re-epithelialization and highlighting differences in chronic wounds.

This study creates a prenatal human skin cell atlas, revealing immune cells' role in skin development and showing their impact on vascular and hair follicle formation.

This study uses single-cell transcriptomics and spatial analysis to map early mouse skin development, revealing new cell types and interactions.

This study shows transcriptional bursts explain autosomal monoallelic expression and influence allelic imbalance in scRNA-seq data.

The paper shows that hair follicle niche precursors are specified before niche formation and requires FGF20 from progenitors.