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Glazier, J.

Publications and source records attributed to Glazier, J..

5 recordsLinked to original sources

Programmable genetic control of tumor-colonizing Bifidobacterium longum for intratumoral therapeutic delivery and biocontainment

Engineered bacteria offer a distinct modality for cancer therapy by exploiting the ability of certain species to colonize tumors and deliver therapeutic payloads. Improving their efficacy and safety requires control over bacterial activity after tumor colonization, yet few microbial chassis permit it. Bifidobacterium longum, a probiotic with intrinsic tumor-targeting and antitumor activity, is a promising chassis but lacks such control. Here, we develop a genetic control system that regulates B. longum activity within tumors, from gene expression to bacterial abundance. A human-isolate-derived replicon supports plasmid maintenance without antibiotic selection, and promoter and ribosome-binding-site libraries provide [~]150-fold and [~]48-fold expression ranges, respectively. Signal peptides enable secretion of structurally diverse therapeutic payloads and B. longum secreting CCL21 or an anti-PD-L1 nanobody reduces tumor growth relative to PBS controls. Anhydrotetracycline delivered in drinking water induces transgene expression in tumor-resident bacteria and reduces intratumoral bacterial load through CRISPRi targeting essential genes. Together, these results establish a tumor-homing probiotic as an externally controllable therapeutic chassis.

synthetic biology↗

Mining Microbial Transcriptomes to Engineer Cell-Based Bacterial Biosensors in Gut-Resident Bacteroidaceae

The gastrointestinal tract is rich in metabolic, immune, and microbiome-derived signals that can inform the design of live biotherapeutics and diagnosis of intestinal disorders. Engineered cell-based biosensors can tap into this molecular information and report on their environment, yet their development in gut-resident symbionts has been limited by a lack of validated sensor systems. Here, we present a generalizable pipeline that leverages bacterial transcriptional profiling to identify environment-responsive systems for biosensor engineering. Candidate Sensors Systems (CSSs) mined from healthy, disease, and in vitro transcriptomes were assembled into a barcoded library in Bacteroidaceae chassis and screened in high-throughput in vivo to identify responsive promoters. A unique Bacteroidales ECF-type sigma factor operon with ties to sphingolipid metabolism and flux was highly responsive in chemically-induced colitis models. The biosensor responded robustly to disease and returned to baseline upon recovery, establishing an in vivo-driven strategy for discovering functional biosensors in non-model gut-resident bacteria.

synthetic biology↗

Engineering butyrate-producing Lachnospiraceae to treat metabolic disease

Engineering native gut bacteria offers a route to persistent, programmable therapeutics, yet many dominant taxa remain genetically intractable. Lachnospiraceae are a prevalent and abundant family in the human gut microbiome, possessing metabolic functions generally associated with health1. Despite their promise as engineered live biotherapeutics, genetic manipulation of Lachnospiraceae remains challenging. Here, we develop a modular toolkit for Lachnospiraceae engineering, including constitutive and inducible expression and chromosomal integration systems. Applying this toolkit to the native commensal Coprococcus comes, we program secretion of the mammalian cytokine interleukin-22 (IL-22) in the mouse intestinal tract where it elicits ileal transcriptional responses consistent with cytokine signaling. In a mouse model of metabolic associated steatotic liver disease, IL-22-secreting C. comes improves glucose homeostasis and attenuates hepatic steatosis. This work demonstrates that a native Lachnospiraceae chassis can be genetically programmed to modulate host metabolic and immune physiology. The toolkit provides a generalizable foundation for Lachnospiraceae-derived microbiome therapeutics and for probing causal links between Lachnospiraceae gene programs and host phenotypes.

synthetic biology↗

Tenotomized Achilles tendons of MRL/MpJ mice show scar-mediated healing, but have superior recovery of biomechanical properties

Tendon healing in Murphy Ross Large (MRL/MpJ) mice was examined using an Achilles tendon tenotomy model, a full transection model, compared to a patella focal injury model in which tendons in MRL/MpJ mice showed regenerative healing. After complete transection, the Achilles tendons of MRL/MpJ mice healed via scar formation, regardless of sex, as did C57BL/6J mice. Tensile testing found that mechanical properties of injured tendons of both MRL/MpJ female and male mice exhibited comparable levels to those of C57BL/6J female and male mice, respectively after 4 weeks of healing, which is during the remodeling phase. After 10 weeks of healing, injured tendons of MRL/MpJ mice possessed smaller heterotopic ossification volumes than those of C57BL/6J mice. Proteomics analysis revealed similar alterations to signaling pathways in injured tendons of MRL/MpJ and C57BL/6J male mice after 4 weeks of healing. However, among the altered pathways, actin cytoskeleton and integrin signaling pathways were two of the top pathways that were more prominently activated in C57BL/6J males than in MRL/MpJ males. These findings indicate that MRL/MpJ mice possess limited capacity to regenerate injured tendons after complete rupture, and that tenotomized Achilles tendons of MRL/MpJ male mice have lesser induction of heterotopic ossification and lower activation of the signaling pathways also induced with injury in C57BL/6J male mice.

pathology↗

Tissue Forge: Interactive Biological and Biophysics Simulation Environment

Tissue Forge is an open-source interactive environment for particle-based physics, chemistry and biology modeling and simulation. Tissue Forge allows users to create, simulate and explore models and virtual experiments based on soft condensed matter physics at multiple scales, from the molecular to the multicellular, using a simple, consistent interface. While Tissue Forge is designed to simplify solving problems in complex subcellular, cellular and tissue biophysics, it supports applications ranging from classic molecular dynamics to agent-based multicellular systems with dynamic populations. Tissue Forge users can build and interact with models and simulations in real-time and change simulation details during execution, or execute simulations off-screen and/or remotely in high-performance computing environments. Tissue Forge provides a growing library of built-in model components along with support for user-specified models during the development and application of custom, agent-based models. Tissue Forge includes an extensive Python API for model and simulation specification via Python scripts, an IPython console and a Jupyter Notebook, as well as C and C++ APIs for integrated applications with other software tools. Tissue Forge supports installations on 64-bit Windows, Linux and MacOS systems and is available for local installation via conda. 1 Author SummaryTissue Forge is a physics-based modeling and simulation software environment for research problems in physics, chemistry and biology. Tissue Forge supports modeling at a wide range of scales, from as small as the sub-nanometer, to as large as hundreds of micrometers, using particle-based models. It provides rich features for simulation development and application at all stages of model-based research, like real-time simulation visualization and interactivity, and off-screen batch execution, rendering, and GPU acceleration. Users can employ built-in models to represent a wide variety of physical processes, like chemical reactions, fluid convection and intercellular adhesion, or define their own models for agentand rule-based modeling. Tissue Forge is open-source, free and easy to install, supports simulation development in C, C++ and Python programming languages, and can be used as integrated software or in an interactive IPython console and Jupyter Notebook. Tissue Forge also provides a dedicated space for application-specific and user-contributed modeling and simulation features, and developers are welcome to contribute their custom features for distribution in future releases.

biophysics↗