Micha Sam Brickman Raredon

This paper uses surprisal information-theoretic analysis on spatial transcriptomic data from human glioblastoma to uncover hidden spatial programs and interactions not detected by standard methods.

This study identifies VEGF-D as a key factor in maintaining lung vascular integrity during acute lung injury using single-cell RNA sequencing and functional assays.

The paper develops zebrafish models of PROS to show that PIK3CA mutations cause non-cell-autonomous overgrowth through pan-lineage gene expression and communication changes.

The paper investigates age-related changes in proximal pulmonary artery mechanics in mouse models, finding increased stiffness and collagen reorientation linked to aging biomarkers and cellular senescence.

This study characterizes epithelial cell states emerging from reprogramming in a pulmonary bioengineering context.

The paper applies spatial statistical models to spatialomics data to reveal detailed morphogenic field interactions in tissues.

This paper introduces a tunable lung organoid model to study how cellular composition drives epithelial plasticity and immune polarization in chronic lung diseases.

This study examines hypoxia-induced cardiopulmonary remodeling in mice, finding that pulmonary artery stiffening due to collagen remodeling precedes and correlates with cardiac and lung dysfunction, with partial recovery observed after normoxia.

This study uses spatial transcriptomics to analyze Ewing sarcoma tumors, finding that localized tumors have more stromal enrichment and unique immune signals compared to metastatic tumors.

This study identifies pro-regenerative features in TSP2-deficient fibroblasts through single-cell analysis and functional assays, showing enhanced migration, proliferation, and neurogenesis.

This study develops an engineered whole-lung tissue model to study tissue organization and alveolar barrier function, showing improved barrier function with alveolar macrophages.

This study identifies aberrant transitional alveolar epithelial cells in a mouse fibrosis model and shows they activate fibroblasts through a profibrotic secretome.

The paper identifies cell-to-cell communication between mesothelial cells and alveolar tuft cells that regulates lung regeneration after pneumonectomy.

This study uses single-cell RNA sequencing to identify common and distinct immune aberrations in IPF and FHP, revealing shared monocyte features and disease-specific lymphocyte and receptor repertoires.

The paper analyzes single-cell RNA sequencing data from early SARS-CoV-2 infection in a humanized model to show how the virus exploits tissue repair mechanisms in airway epithelial cells.

NICHES visualizes cell-cell interactions at the single-cell level using ligand-receptor signaling proxies, enabling analysis of heterogeneous signaling across cell clusters and spatial contexts.

Connectome quantifies and visualizes cell-cell signaling networks from single-cell RNA-sequencing data using a software package for R.