Our Research

Exploring the frontiers of cellular biology through innovative approaches in plasmid engineering, molecular mechanisms, and computational analysis.

Research Areas

Plasmid Engineering

We develop advanced plasmid vectors with enhanced stability, expression efficiency, and targeted delivery capabilities for next-generation gene therapy applications.

  • Novel vector design for improved transfection efficiency
  • Stability optimization in various cellular environments
  • Modular cloning systems for rapid prototyping
  • Therapeutic vector development

Cell Culture Systems

Our lab pioneers innovative cell culture methodologies that enhance reproducibility, scalability, and physiological relevance of in vitro studies.

  • 3D organoid culture optimization
  • Microfluidic cell culture platforms
  • Co-culture system development
  • Automated culture monitoring systems

Molecular Cloning

We advance molecular cloning techniques through innovative strategies that enable precise genetic manipulation for research and therapeutic applications.

  • CRISPR-Cas system optimization
  • High-throughput cloning protocols
  • Error-free assembly methods
  • Synthetic biology applications

Computational Biology

We integrate computational approaches with experimental biology to understand complex cellular processes and predict biological outcomes.

  • Machine learning for biological prediction
  • Systems biology modeling
  • Genomic data analysis pipelines
  • Predictive algorithm development

Current Projects

Active

Smart Plasmid Vectors

Development of self-regulating plasmid systems with built-in feedback mechanisms for optimal gene expression control.

 Active

Organoid-on-Chip Platform

Creating microfluidic devices that support long-term organoid culture for drug screening and disease modeling applications.

 Active

AI-Driven Cloning

Machine learning algorithms to predict optimal cloning strategies and reduce experimental failure rates.

Recent Publications

Enhanced Plasmid Stability Through Novel Vector Architecture
Smith, J., Johnson, M., Chen, L.
Journal of Molecular Biology, 2024
Computational Approaches to Predicting Gene Expression in Engineered Systems
Chen, L., Rodriguez, A., Smith, J.
Nature Biotechnology, 2024
Microfluidic Cell Culture: Bridging the Gap Between In Vitro and In Vivo
Johnson, M., Williams, K., Chen, L.
Cell Systems, 2023
CRISPR-Mediated Therapeutic Vector Development: Current Challenges and Future Directions
Williams, K., Smith, J., Rodriguez, A.
Molecular Therapy, 2023

Collaborations & Partnerships

Our research thrives through collaborative partnerships with leading institutions worldwide. We actively engage with pharmaceutical companies, academic institutions, and research centers to translate our discoveries into real-world applications. We welcome opportunities for collaboration and are always interested in discussing potential research partnerships that advance the field of cellular biology.