Michael Krogh Jensen

The paper develops orthogonal quorum sensing circuits in yeast using LuxR-type systems to enable programmable intercellular communication for synthetic biology applications.

This paper demonstrates the production of galantamine in yeast through pathway engineering and optimization, achieving a 173-fold improvement over the parental strain.

This study develops biosensors for MIAs and identifies metabolic engineering hits to enhance MIA production in yeast.

The paper presents a yeast-based system to simulate CD19+ cancers for controlled CAR T cell activation and evaluates antigen density effects.

The paper develops a yeast mating platform to screen fungal GPCR-ligand interactions and identifies peptides that modulate fungal communication.

The paper introduces a method to reduce plasmid transformation multiplicity in yeast during electroporation, improving mono-transformation rates without reducing efficiency.

This paper identifies and characterizes pachysiphine synthase genes in Tabernaemontana elegans using genome sequencing and computational analysis, enabling engineered yeast production of MIAs.

This study engineering yeast to produce kratom monoterpene indole alkaloids through synthetic pathway reconstruction and optimization, achieving a titer of ~290 µg/L.

The paper introduces a model called CSNN that uses network homophily to improve in-distribution predictions of drug-target interactions for human GPCRs.

The paper uses genome-wide host-pathway interaction screens to identify metabolic targets for optimizing cis-cis-muconic acid production in yeast.

CRI-SPA transfers genetic features between yeast strains to map sequence to function, demonstrating its ability to transfer genes for betaxanthin production across a yeast knock-out collection.

The paper introduces teemi, an open-source platform for bioengineering that supports simulation, data integration, and machine learning for metabolic pathway design under FAIR principles.

The paper develops a directed evolution workflow combining OrthoRep and a transcription factor-based biosensor to optimize cis,cis-muconic acid production in yeast, achieving >13-fold higher titers.

The paper designs synthetic control circuits in yeast to stabilize vanillin-β-glucoside production over multiple generations, achieving higher yields in fermentation.

This paper describes a method to evolve and functionalize biosensors in yeast by optimizing ligand specificity and transfer functions through directed evolution.

This paper introduces a yeast platform for producing bacterial aromatic polyketides using a synthetic polyketide synthase system.

The paper develops a synthetic selection system in yeast to enrich for high-producing muconic acid variants by coupling production to cell fitness through a pH-tunable sensor-selector.