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Contribution

Our iGEM contributions in wetlab, software, and education, including reusable experiments, open-source tools, and inclusive learning resources for future teams.

Wetlab

Establishing a Binder-Based Diagnostic Platform

To achieve early diagnosis of rhinosinusitis, our team developed a colloidal gold–based rapid test strip designed to detect the key biomarker Granzyme K (GZMK). This design not only demonstrates the feasibility of de novo–designed proteins in diagnostic applications but also provides the iGEM community with a replicable, scalable, and low-cost diagnostic framework.

First, we proposed a modular “binder-instead-of-antibody” strategy. Traditional colloidal gold assays rely on specific antibodies, whose production is costly, time-consuming, and dependent on animal experiments—posing limitations in educational or resource-constrained research environments. To overcome these challenges, we employed computational protein design technologies to create novel protein binders that specifically recognize GZMK, successfully replacing antibodies in the test strip. This approach significantly lowers the barrier to diagnostic development and provides a generalizable path for specific detection without antibody dependence.

Second, we established an innovative “Binder1–GZMK–Binder2” detection architecture. Compared to the conventional “target–antibody–antibody” model, this structure aligns more naturally with de novo design principles. By simply replacing the target sequence and redesigning the binders, the system can be easily adapted to detect various biomarkers, making the entire platform highly flexible and extensible.

Through these innovations, we achieved rapid and specific detection of GZMK and, more importantly, contributed a reusable “Binder-based Test Strip” construction framework to the iGEM community. We systematically optimized parameters such as coupling pH, binder-to-gold ratio, and membrane coating conditions, and we will share standardized operating protocols on our Measurement page. This contribution provides future teams with a practical reference for implementing binder-based diagnostic tools, promoting the broader application of synthetic biology in diagnostic technology development.

Developing a Standardized GZMK Activity Assay

To verify whether the expressed and purified GZMK possesses the expected enzymatic activity, and to provide a stable and reproducible foundation for subsequent inhibitor screening, we established a high-sensitivity in vitro enzymatic activity assay system. This system not only confirms the functional activity of the protein but also enables quantitative evaluation of its catalytic characteristics through kinetic parameters, thereby supporting high-throughput screening and mechanistic studies of potential inhibitors.

After comparing multiple detection approaches, we selected a fluorogenic substrate (DABCYL–GDGRSIMTE–EDANS) that provides superior specificity and signal-to-noise ratio, and constructed an assay based on the principle of FRET (Fluorescence Resonance Energy Transfer). By systematically optimizing buffer composition, enzyme and substrate concentrations, and reaction conditions, we successfully obtained a strong and reproducible enzymatic signal from recombinant GZMK, confirming its catalytic functionality. Furthermore, by performing substrate concentration gradient experiments, we plotted the enzyme velocity–substrate concentration curve and derived key kinetic parameters (Km and Vmax), thereby establishing a quantifiable, robust, and high-throughput-compatible standardized assay platform.

The design and optimization process of this system provides a valuable reference framework for future iGEM teams, and we will share standardized operating protocols on our Measurement page. Other teams can readily adapt this approach by modifying substrate sequences or reaction conditions according to their target enzymes, allowing rapid establishment of customized activity assays. This contribution not only expands the application of synthetic biology in enzymology and drug screening but also serves as a model for experimental standardization and community sharing.

Innovating a Safe Expression Strategy for Cytotoxic Proteases

GZMK is a key pathogenic factor and potential diagnostic biomarker in chronic rhinosinusitis. However, its toxicity both inside and outside the cell, along with its dependence on proper structural folding for enzymatic activation, makes stable expression in conventional systems extremely challenging.

Building upon previous studies, we established and optimized a novel strategy for GZMK expression and purification. In this approach, GZMK is secreted as an inactive zymogen from HEK 293F cells, allowing safe accumulation in the culture medium. The precursor protein is then purified and activated in vitro by specific proteolytic cleavage to remove the N-terminal propeptide, yielding fully active mature GZMK with complete catalytic functionality.

This method not only enables efficient and stable expression of GZMK in a eukaryotic system but also provides a generalizable and safe expression framework for potentially cytotoxic proteases. Future teams can adapt this strategy by modifying the signal peptide, activation mechanism, or host system to facilitate the study or production of other active enzymes and functional proteins.

Detailed construct design and sequence information can be found in the Parts Registry, while the full expression and purification workflow is available on the Experiments page.

Contributing Multiple Functional Binder Parts

Our colloidal gold test strip utilizes de novo–designed protein binders to achieve specific recognition of GZMK. Through computational protein design and multiple rounds of screening, we successfully obtained several binders with high affinity toward GZMK. These binders serve as the key recognition modules in our detection system, effectively replacing traditional antibodies in the colloidal gold assay.

Beyond their application in this project, these binders provide reusable resources and methodological references for future teams working on protein binder design, protein–protein interaction studies, and functional analysis of GZMK or related enzymes. Each binder has been systematically expressed, purified, and validated following standardized protocols, and the corresponding functional parts have been registered in the Parts Registry for easy access and further extension by other teams.

Software

Our software project not only addresses specific challenges in protein design but also provides a set of open, reproducible, and generalizable computational tools for the broader iGEM and synthetic biology communities. By integrating advanced machine learning methods with practical biological design workflows, we aim to lower the barrier to high-quality protein design and enable more teams to pursue functional protein engineering with greater efficiency and precision.

We have developed four core tools and workflows, each designed to be modular, well-documented, and readily applicable beyond our own project:

These tools are not limited to our target protein GZMK. They can be adapted by other iGEM teams and researchers for a wide range of applications, including:

Notably, BetterMPNN and BetterEvoDiff have demonstrated strong performance in dry-lab settings: both models exhibit expected training convergence, clear one-shot generation capability, and high scores in dry-lab validation. These results validate our core hypothesis—that integrating GRPO reinforcement learning with protein generative models can enable efficient exploration and learning of complex functional properties. This approach represents a novel paradigm beyond classical hallucination-based or sampling-and-screening methods, offering a more targeted and resource-efficient path to protein design.

We believe our tools and the underlying methodology can inspire future iGEM projects and contribute to the broader field of protein engineering. By sharing fully documented code, detailed usage guides, and modular workflows, we hope to empower others to build upon our work and accelerate the development of functional proteins for diverse biological applications.

To learn more about the tool's usage and application scenarios, please visit our Software page.

Education

The Education Department of ShanghaiTech iGEM 2025 is dedicated to transforming synthetic biology education through our core philosophy of "For Self-Discovery." We have created a suite of innovative educational resources that empower individuals to become active explorers of science while providing the iGEM community with adaptable models for meaningful engagement.

Rhinosinusitis Awareness Initiative

Our comprehensive health education program addresses the critical public knowledge gap in rhinosinusitis through multilingual video series and illustrated manuals. This initiative contributes to society by enhancing public health literacy through clear, accessible information that helps distinguish rhinosinusitis from similar conditions, promoting early recognition and reducing misdiagnosis. For the iGEM community, we demonstrate how teams can effectively tackle specialized health issues through targeted science communication, while our collaboration with Rainbow Bridge NGO provides a replicable model for cross-border educational outreach that shows how to adapt content for specific cultural and age groups.

SynbioSH Urban Orienteering

This innovative city-wide event transforms urban environments into living laboratories where participants decode gene sequences and simulate biological processes through physical activities. The event breaks down barriers between cutting-edge science and daily life by allowing public physical engagement with synthetic biology concepts in familiar settings, while fostering interdisciplinary thinking through its unique combination of science popularization, sports, and teamwork. We provide the iGEM community with a comprehensive, scalable model for "science in the wild" activities that other teams can adapt using our framework of city-wide tasks, gene-decoding puzzles, and biological role-playing games to create high-impact public engagement events in their own urban environments.

3. Regional Educational Outreach

Our educational framework addresses diverse local needs across different Chinese regions through customized programs combining theoretical knowledge with practical applications. These initiatives directly address societal needs by sparking scientific curiosity in underserved schools, reigniting interest in science among left-behind children, and proposing practical, eco-friendly solutions for desertification challenges. We offer the iGEM community a comprehensive framework for impactful educational outreach, including curriculum models for inspiring future scientists, blueprints for low-cost, high-impact experiments, and case studies demonstrating how teams can bridge laboratory research and field applications for sustainable development.

Our most significant contribution to the iGEM community is the demonstration and validation of the "For Self-Discovery" educational framework. We have moved beyond simply disseminating information to creating scenarios where knowledge is unlocked through personal exploration. We bequeath to future teams not just a collection of activities, but a guiding principle and a proven set of models for designing education that is truly participant-centered, empowering, and transformative.