Mario Medvedovic

This study investigates how eosinophilic inflammation causes heart damage in hypereosinophilia by using a mouse model and single-cell RNA sequencing to identify cell types and pathways involved.

This study identifies CPI203, a BET inhibitor, as a compound that consistently down-regulates DNA synthesis genes across multiple glioblastoma lines.

This paper introduces ceSAR, a method combining docking and transcriptional signature connectivity to improve drug discovery and repurposing by reducing false positives and computational costs.

The paper investigates how dioxin interacts with genetic factors in Map3k1+/- mice to disrupt embryonic eyelid closure through MAP3K1 and EGFR pathway crosstalk.

This paper investigates the role of MAP3K1 in female reproductive tract development, showing that its deficiency leads to developmental defects and infertility.

iLINCS provides a web-based platform for analyzing omics signatures of diseases and cellular perturbations through integrative analytics and visualization tools.

The paper develops a framework to predict signaling pathway activity changes by integrating genetic perturbation data across cell lines, improving prediction accuracy using multi-task learning and supervised methods.

ALOHA improves dose-response analysis by using Bayesian splines to model gene responses and cluster co-regulated genes, leading to better identification of biological pathways and benchmark doses.

The paper develops methods to construct disease transcriptional signatures and perform connectivity analysis using scRNA-seq data, identifying mTORC1 and other inhibitors as potential therapies for LAM.

The paper develops a method to predict the mechanism of action of cellular perturbations by analyzing pathway network topology and transcriptional signatures.

piNET is a web platform for analyzing and visualizing proteomics data, including PTMs, by connecting them to biological knowledge and LINCS signatures.

GREIN provides a web platform for re-analyzing GEO RNA-seq data with tools for data manipulation, visualization, and functional analysis.

The paper develops tools to compare and design optimized small molecule libraries using chemical and biological data, resulting in a more effective kinase inhibitor library.