The conjugation of hydrophobic cytotoxic agents such as monomethyl auristatin E (MMAE) to the interchain sulfhydryl groups of monoclonal antibodies (Mabs) through a protease-labile linker generates a heterogeneous drug load distribution. The conjugation process can generate high-drug-load species that can affect the physical stability of antibody-drug conjugates (ADCs). In this study, the mechanism of physical instability of ADCs was investigated by formulating the ADC pool as well as isolated drug load species in high and low ionic strength buffers to understand the effect of ionic strength on the stability of drug-conjugated Mabs. The results showed that the presence of high ionic strength buffer led to time-dependent aggregate and fragment formation of ADCs, predominantly ADCs with high-drug-load species under stress conditions. In addition, differential scanning calorimetry (DSC) results confirmed that there is a direct correlation between thermal unfolding and drug payload and that specific changes in the DSC thermogram profiles can be assigned to modifications by MMAE.

Engineering mammalian cell-based devices that monitor and therapeutically modulate human physiology is a promising and emerging frontier in clinical synthetic biology. However, realizing this vision will require new technologies enabling engineered circuitry to sense and respond to physiologically relevant cues. No existing technology enables an engineered cell to sense exclusively extracellular ligands, including proteins and pathogens, without relying upon native cellular receptors or signal transduction pathways that may be subject to crosstalk with native cellular components. To address this need, we here report a technology we term a Modular Extracellular Sensor Architecture (MESA). This self-contained receptor and signal transduction platform is maximally orthogonal to native cellular processes and comprises independent, tunable protein modules that enable performance optimization and straightforward engineering of novel MESA that recognize novel ligands. We demonstrate ligand-inducible activation of MESA signaling, optimization of receptor performance using design-based approaches, and generation of MESA biosensors that produce outputs in the form of either transcriptional regulation or transcription-independent reconstitution of enzymatic activity. This systematic, quantitative platform characterization provides a framework for engineering MESA to recognize novel ligands and for integrating these sensors into diverse mammalian synthetic biology applications.

Engineered cell-based therapies comprise a promising emerging strategy for treating diverse diseases. Realizing this promise requires new tools for engineering cells to sense and respond to soluble extracellular factors, which provide information about both physiological state and the local environment. Here, we report such a biosensor engineering strategy, leveraging a self-contained receptor-signal transduction system termed modular extracellular sensor architecture (MESA). We developed MESA receptors that enable cells to sense vascular endothelial growth factor (VEGF) and, in response, secrete interleukin 2 (IL-2). By implementing these receptors in human T cells, we created a customized function not observed in nature-an immune cell that responds to a normally immunosuppressive cue (VEGF) by producing an immunostimulatory factor (IL-2). Because this platform utilizes modular, engineerable domains for ligand binding (antibodies) and output (programmable transcription factors based upon Cas9), this approach may be readily extended to novel inputs and outputs. This generalizable approach for rewiring cellular functions could enable both translational applications and fundamental biological research.

Molecular assembly provides an effective approach to construct discrete supramolecular nanostructures of various sizes and shapes in a simple manner. One important technological application of the resulting nanostructures is their potential use as anticancer drug carriers to facilitate targeted delivery to tumour sites and consequently to improve clinical outcomes. In this carrier-assisted delivery strategy, anticancer drugs have been almost exclusively considered as the cargo to be carried and delivered, and their potential as molecular building blocks has been largely ignored. In this discussion, we report the use of anticancer drugs as molecular building units to create discrete supramolecular nanostructures that contain a high and quantitative drug loading and also have the potential for self-delivery. We first show the direct assembly of two amphiphilic drug molecules (methotrexate and folic acid) into discrete nanostructures. Our results reveal that folic acid exhibits rich self-assembly behaviours via Hoogsteen hydrogen bonding in various solvent conditions, whereas methotrexate was unable to assemble into any well-defined nanostructures under the same conditions, despite its similar chemical structures. Considering the low water solubility of most anticancer drugs, hydrophilic segments must be conjugated to the drug in order to bestow the necessary amphiphilicity. We have demonstrated this for camptothecin through the attachment of β-sheet-forming peptides with overall hydrophilicity. We found that the intermolecular interactions among camptothecin segments and those among β-sheet peptides act together to define the formation of stable one-dimensional nanostructures in dilute solutions, giving rise to nanotubes or nanofibers depending upon the processing conditions used. These results lead us to believe that self-assembly of drugs into discrete nanostructures not only offers an innovative way to craft self-delivering anticancer drugs, but also extends the paradigm of using molecular assembly as a toolbox to achieve functional nanostructures, to a new area which is specifically focused on the direct assembly of functional molecules (e.g. drugs, or imaging agents) into nanostructures of their own.

Engineered cell-based therapies comprise a promising, emerging biomedical technology. Broad utilization of this strategy will require new approaches for implementing sophisticated functional programs, such as sensing and responding to the environment in a defined fashion. Towards this goal, we investigated whether our self-contained receptor and signal transduction system (MESA) could be multiplexed to evaluate extracellular cues, with a focus on elucidating principles governing the integration of such engineered components. We first developed a set of hybrid promoters that exhibited AND gate activation by two transcription factors. We then evaluated these promoters when paired with two MESA receptors and various ligand combinations. Unexpectedly, although the multiplexed system exhibited distinct responses to ligands applied individually and in combination, the same synergy was not observed as when promoters were characterized with soluble transcription factors. Therefore, we developed a mechanistic computational model leveraging these observations, to both improve our understanding of how the receptors and promoters interface and to guide the design and implementation of future systems. Notably, the model explicitly accounts for the impact of intercellular variation on system characterization and performance. Model analysis identified key factors that affect the current receptors and promoters, and enabled an in silico exploration of potential modifications that inform the design of improved logic gates and their robustness to intercellular variation. Ultimately, this quantitative design-driven approach may guide the use and multiplexing of synthetic receptors for diverse custom biological functions beyond the case study considered here.