Lily D. Taub

Perturb-Seqr integrates multiple Connectivity Mapping datasets to enable drug and target discovery by searching for gene expression signatures of drug and gene perturbations.

The paper describes the Common Fund Data Ecosystem (CFDE), which integrates NIH Common Fund data resources to enable discovery, analysis, and collaboration across heterogeneous datasets.

This study shows that mesenchymal stromal cell-derived extracellular particles reduce Pseudomonas aeruginosa lung infection and inflammation in a cystic fibrosis mouse model.

This paper shows that let-7b-5p-loaded MSC EVs block antibiotic-resistant P. aeruginosa biofilm formation and reduce inflammation in CF bronchial epithelial cells.

E.PathDash provides a tool for analyzing gene expression data from pathogens, enabling rapid pathway activation analysis and reproducibility assessment across multiple studies.