Alexis Kaushansky

This study shows that Plasmodium blood-stage infection primes hepatocytes to exhibit trained immunity, enhancing their response to subsequent challenges.

This study shows that ferroptosis, a form of cell death, is enhanced by a virulent Mtb strain, SA161, and inhibiting it reduces bacterial spread in mice.

This paper develops a 3D human brain endothelial platform combined with machine learning to identify kinase inhibitors that restore blood-brain barrier integrity in TBI.

This study uses expansion microscopy to investigate sporozoite biology in malaria parasites, revealing new insights into rhoptry function and identifying a key protein involved in invasion.

The paper uses two computational methods to reconstruct kinase phosphosignaling networks regulating endothelial barrier integrity from temporal data.

This study uses a kinase inhibitor screen to identify host kinases involved in Leishmania uptake and survival in macrophages, revealing both known and novel regulators.

The paper identifies receptor tyrosine kinases (RTKs) that regulate dengue virus infection in hepatocytes and shows their potential as therapeutic targets.

This paper introduces TREKING, a method combining kinase inhibitor screens and machine learning to generate time-resolved phosphosignaling networks, revealing MAPK pathway dynamics in endothelial barrier regulation.

The paper demonstrates that viral-induced hypomorphs of GBF1 can be targeted using synthetic lethality to selectively kill virus-infected cells.

The paper develops a gene regulatory network model for Plasmodium falciparum using machine learning, showing it predicts gene expression and identifies correlates of artemisinin resistance.