Model-guided design of microRNA-based gene circuits supports precise dosage of transgenic cargoes into diverse primary cells.

To realize the potential of engineered cells in therapeutic applications, transgenes must be expressed within the window of therapeutic efficacy. Differences in copy number and other sources of extrinsic noise generate variance in transgene expression and limit the performance of synthetic gene circuits. In a therapeutic context, supraphysiological expression of transgenes can compromise engineered phenotypes and lead to toxicity. To ensure a narrow range of transgene expression, we design and characterize Compact microRNA-Mediated Attenuator of Noise and Dosage (ComMAND), a single-transcript, microRNA-based incoherent feedforward loop. We experimentally tune the ComMAND output profile, and we model the system to explore additional tuning strategies. By comparing ComMAND to two-gene implementations, we highlight the precise control afforded by the single-transcript architecture, particularly at relatively low copy numbers. We show that ComMAND tightly regulates transgene expression from lentiviruses and precisely controls expression in primary human T cells, primary rat neurons, primary mouse embryonic fibroblasts, and human induced pluripotent stem cells. Finally, ComMAND effectively sets levels of the clinically relevant transgenes FMRP1 and FXN within a narrow window. Together, ComMAND is a compact tool well-suited to precisely specify expression of therapeutic cargoes.

Programmable promoter editing for precise control of transgene expression.

Subtle changes in gene expression direct cells to distinct cellular states. Identifying and controlling dose-dependent transgenes require tools for precisely titrating expression. To this end, we developed a highly modular, extensible framework called DIAL for building editable promoters that allow for fine-scale, heritable changes in transgene expression. Using DIAL, we increase expression by recombinase-mediated excision of spacers between the binding sites of a synthetic zinc finger transcription factor and the core promoter. By nesting varying numbers and lengths of spacers, DIAL generates a tunable range of unimodal setpoints from a single promoter. Through small-molecule control of transcription factors and recombinases, DIAL supports temporally defined, user-guided control of transgene expression that is extensible to additional transcription factors. Lentiviral delivery of DIAL generates multiple setpoints in primary cells and iPSCs. As promoter editing generates stable states, DIAL setpoints are heritable, facilitating mapping of transgene levels to phenotypes. The DIAL framework opens new opportunities for tailoring transgene expression and improving the predictability and performance of gene circuits across diverse applications.

Accelerating Diverse Cell-Based Therapies Through Scalable Design.

Augmenting cells with novel, genetically encoded functions will support therapies that expand beyond natural capacity for immune surveillance and tissue regeneration. However, engineering cells at scale with transgenic cargoes remains a challenge in realizing the potential of cell-based therapies. In this review, we introduce a range of applications for engineering primary cells and stem cells for cell-based therapies. We highlight tools and advances that have launched mammalian cell engineering from bioproduction to precision editing of therapeutically relevant cells. Additionally, we examine how transgenesis methods and genetic cargo designs can be tailored for performance. Altogether, we offer a vision for accelerating the translation of innovative cell-based therapies by harnessing diverse cell types, integrating the expanding array of synthetic biology tools, and building cellular tools through advanced genome writing techniques.

Evaluating Regional Pulmonary Deposition using Patient-Specific 3D Printed Lung Models.

Development of targeted therapies for pulmonary diseases is limited by the availability of preclinical testing methods with the ability to predict regional aerosol delivery. Leveraging 3D printing to generate patient-specific lung models, we outline the design of a high-throughput, in vitro experimental setup for quantifying lobular pulmonary deposition. This system is made with a combination of commercially available and 3D printed components and allows the flow rate through each lobe of the lung to be independently controlled. Delivery of fluorescent aerosols to each lobe is measured using fluorescence microscopy. This protocol has the potential to promote the growth of personalized medicine for respiratory diseases through its ability to model a wide range of patient demographics and disease states. Both the geometry of the 3D printed lung model and the air flow profile setting can be easily modulated to reflect clinical data for patients with varying age, race, and gender. Clinically relevant drug delivery devices, such as the endotracheal tube shown here, can be incorporated into the testing setup to more accurately predict a device's capacity to target therapeutic delivery to a diseased region of the lung. The versatility of this experimental setup allows it to be customized to reflect a multitude of inhalation conditions, enhancing the rigor of preclinical therapeutic testing.

Geometric model to predict improvement after lingual frenulectomy for ankyloglossia.

OBJECTIVES: Frenulectomy for ankyloglossia is an intervention that often improves breastfeeding quality for both the mother and infant. Current classification systems assess and identify patients with ankyloglossia, but they do not predict the degree of improvement after lingual frenulectomy. We propose an idealized geometric model to quantify the potential effect of frenulectomy for ankyloglossia. METHODS: Our geometric model depicts the intact lingual frenulum as a triangular pyramid of mucosa on the floor of mouth. After incising one edge of the pyramid, as is performed during a frenulectomy, the structure unfolds to a two-dimensional diamond whose dimensions can be calculated. Utilizing this calculation, we can predict percent improvement in tongue extension after frenulectomy based off the original dimensions of the pyramid. RESULTS: Our multivariable equation that allows for the calculation of the percent increase in tongue extension is based on the frenulum thickness, frenulum length, tongue length, and insertion point of the frenulum on the tongue. The initial height of the frenulum and the proximity of the frenulum insertion to the tip of the tongue had the largest impact on tongue extension, whereas frenulum width had the smallest impact. CONCLUSION: Lingual frenulectomy has subjectively been reported to improve lingual tongue movement. Our mathematical model identifies multiple anatomic variables that lead to an increase in tongue extension after frenulectomy. Our model is the first step in supporting this subjective improvement with quantifiable measurements, and can allow for future validation studies.