Karin Stensjö

This paper enhances isobutene production in Synechocystis sp. PCC 6803 by optimizing culture conditions and using PVA-SA hydrogel entrapment, achieving a 60-80% increase in yield.

This paper improves isobutene production in Synechocystis sp. PCC 6803 by engineering the promiscuous RnKICD enzyme to enhance its selectivity for KIC over HPP, resulting in a 4-fold increase in isobutene yield.

This paper develops a CRISPR activation system for Synechocystis sp. PCC 6803 to upregulate genes and improve biofuel production.

This paper introduces ARCTICA, a framework combining constraint-based modeling and machine learning to predict metabolic flux control in cyanobacteria, identifying key enzymes and reactions that limit photosynthetic activity.

The paper uses metabolic modeling to analyze energy and redox balance in Synechocystis sp. PCC 6803 for optimizing bio-alkene production.