Finally we show how these synthetic receptors can be multiplexed to evaluate soluble signals in the environment to create tailored activation programs that can enable "smart" cell therapies

Examples: cytokine-induced CAR expression on T cells to create a logic gate - the cell is activated only if it sees BOTH a specified soluble cue and surface feature (e.g., tumor antigen), and rewiring cytokine sensing into native pathways that modulate cell state in desired ways

We examine a series of natural receptors, each with a unique (and partially understood) mechanism, and by converting them into synthetic receptors (which we call NatE MESA), we learn the rules governing successful conversions

This can be useful, as enveloping shields the AAV core from antibodies and potentially enables us to use targeting technologies developed for enveloped particles to direct AAV delivery to tissues of interest.

This preprint describes a new method enabling us to study and improve AAV encapsulated by extracellular vesicles (EVs). When cells produce AAV particles, which normally lack an envelope, a certain fraction get naturally incorporated into EVs.

Innovate & collaborate at NCI’s S³ Innovation Lab! This virtual event will explore how synthetic & systems biology can advance our understanding of cancer initiation. Apply by May 27: apply.knowinnovation.com/s3-cancer-in... #SynSysBio4SpatialCancerResearch 🧪

We demonstrate the utility of GEMINI by delivering Cas9-sgRNA CRISPR complexes to primary human T cells to knock out the gene for CXCR4, one of the receptors that HIV uses to infect cells

Here we develop a suite of technologies for actively loading cargo into EVs, and we elucidate principles for displaying targeting and fusion domains on the surface of EVs to achieve targeted delivery

Here we develop a method using flexible HaloTag labeling to absolutely quantify surface protein loading at the individual EV level, providing new insights into EV heterogeneity, and we use this to demonstrate that existing methods substantially underestimate surface display 2/3

Here we develop a method using flexible HaloTag labeling to absolutely quantify surface protein loading at the individual EV level, providing new insights into EV heterogeneity, and we use this to demonstrate that existing methods substantially underestimate surface display