Bruce J. Aronow

LungChat is a conversational multi-agent AI system that integrates multi-omics analysis and biomedical discovery, identifying potential therapeutics for pulmonary diseases.

The paper integrates multiple datasets to create a comprehensive human liver cell atlas, identifying new cell types and associations with demographic factors.

This study identifies EZH2 as an oncogenic driver in hepatoblastoma, showing its role in promoting tumor progression through epigenetic silencing and noncanonical signaling, and highlights its potential as a therapeutic target.

Bering improves cell segmentation and annotation in spatial transcriptomics by using graph embeddings and transfer learning, achieving better accuracy across different technologies and tissues.

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.

The paper identifies thousands of human orphan genes from RNA-Seq data, validates them with single-cell RNA-seq, and provides a compendium for future research.

The paper constructs a single-cell reference atlas for human and mouse lung tissues to improve cell type annotation and data integration.

The paper identifies metabolic regulation in left-right patterning using spatial transcriptome data, linking glycolysis and Bmp7 to heart and gut looping.

The paper describes the LungMAP Portal Ecosystem, a centralized resource integrating multi-omics and imaging data across species to enable standardized analysis of lung biology and disease.

This study shows NRXN1 deletions affect brain development differently in specific cell types and genetic backgrounds, leading to synaptic dysfunction in organoids.

CellDrift identifies temporally varied perturbation patterns in single-cell data by analyzing covarying gene expression across time, outperforming existing methods in imputation and pattern detection.

This study shows that CASK loss disrupts synaptic transmission and network synchronicity in mature human cortical neurons but not synapse formation or neurite complexity.

The paper investigates differential alternative splicing in cells infected by betacoronaviruses and finds characteristic patterns linked to viral load and gene function.

This paper develops a method to generate neuronal cells from adult fibroblasts and uses it to study gene expression and epigenetic changes in 22q11.2 deletion syndrome.

This study validates that heterozygous NRXN1 deletions impair neurotransmitter release in human neurons across multiple labs, suggesting a human-specific synaptic dysfunction relevant for schizophrenia drug discovery.

The paper uses measured and predicted gene expression to identify ulcerative colitis patients at elevated risk of colectomy, showing both methods independently replicate in multiple datasets.

The paper introduces an ontology-guided approach for segmenting and identifying objects in developmental mouse lung immunofluorescent images, demonstrating its effectiveness using LungMAP data.

The paper uses a systems biology approach to analyze COVID-19 data and identifies non-respiratory infection pathways as key to its global spread.