We leverage and pioneer approaches spanning synthetic biology, protein engineering, experimental systems biology, and computational biology to develop technologies such as cell-based “devices” that serve as programmable immune therapies for cancer, novel biomolecular therapies based upon nanoscale vesicles, and engineered biosensors for applications in metabolic engineering and global health.
We’re excited to share our new pre-print which develops an assay which distinguishes protein vs. gene delivery to examine effects of surface-modification on extracellular vesicle encapsulated adeno-associated virus (EV-AAV)-mediated gene delivery. Congrats to Jonathan Boucher and the whole EV-AAV team! Check out the pre-print here!
We’re excited to share our new paper which uses mathematical modeling to enhance the performance of a hypoxia sensing biosensor through feedback regulation. Congrats to Dr. Katie Dreyer, Dr. Patrick Donahue, and the whole HBS team ACS SynBio! Check out the paper here!
We’re excited to share our recent work examining how protein structure prediction tools can be used to explore structure-function relationships in synthetic receptors. Our work was featured on the cover of GEN Biotechnology Vol. 4, No. 1. Congratulations to Dr. Will Corcoran, Amparo Cosio, and our alumni Dr. Hailey Edelstein. Check out the paper here!
We’re excited to share our recent work developing a nucleic acid sequence-based amplification pathogen diagnostic for SARS-CoV-2, with 20-200 aM sensitivity. We also develop an explanatory model to gain mechanistic insight into reaction performance. Congratulations to Dr. Katie Dreyer, Dr. Kate Dray, and our wonderful collaborators in the Lucks, Jewett, and Mangan groups. Check out the paper here!
We’re excited to share our recent work discovering how structure influences synthetic receptor function—our lab’s first study using protein structure prediction! Congratulations to Will, Amparo, and Dr. Hailey Edelstein. Check out the preprint here!
We’re thrilled to share our recent work building improved hypoxia biosensors using genetic circuits, and improving understanding of the hypoxia response by developing a mathematical model for the biosensors. Congratulations to Katie, Dr. Patrick Donahue, and the rest of the team. Check out the preprint here!
We’re excited to share our recent work developing a nucleic acid sequence-based amplification pathogen diagnostic for SARS-CoV-2, with 20-200 aM sensitivity. We also develop an explanatory model to gain mechanistic insight into reaction performance. Congratulations to Katie, Dr. Kate Dray, and our wonderful collaborators in the Lucks, Jewett, and Mangan groups. Check out the preprint here!
