Antonio M. A. Miranda

This paper creates a detailed heart atlas using multimodal data to identify cell states and disease-associated genetic variants in specific heart regions.

Inhibition of AKR1C3 reduces 11-oxygenated androgens but not classic androgens in women.

This study integrates single-cell and spatial transcriptomics with histopathology to identify cellular and molecular changes in lung alveolar damage during COVID-19 progression.

This study shows that TERT reduces obesity-induced metabolic disorders by promoting adipose stem cell expansion and differentiation, and remodeling macrophages in adipose tissue.

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 identifies asymmetrically expressed genes in the mouse cardiac crescent during left-right symmetry breaking using single-cell RNA sequencing and validates their expression patterns.

The paper introduces SilentMark, a lightweight image analysis tool for spatial protein analysis in mammalian tissues, capable of handling noisy and crowded images and providing geometry-based quantification.