Related Experiment Video
Updated: Jul 17, 2026

Rapid Optimization of a Light-Inducible System to Control Mammalian Gene Expression
Published on: November 4, 2025
Expanding the metabolic engineering toolbox: more options to engineer cells.
Keith E Tyo1, Hal S Alper, Gregory N Stephanopoulos
1Department of Chemical Engineering, Massachusetts Institute of Technology, Room 56-469, Cambridge, MA 02139, USA.
Metabolic engineering advances integrate systems biology and synthetic biology tools. Global transcriptional machinery engineering (gTME) enables multigenic changes for improved cellular phenotypes, surpassing single-gene edits.
Area of Science:
- Metabolic Engineering
- Synthetic Biology
- Systems Biology
Background:
- Metabolic engineering traditionally used a pathway-oriented view.
- Limitations in concepts and techniques hindered optimization.
- Recent advances necessitate a broader systems-level approach.
Purpose of the Study:
- To highlight the evolution of metabolic engineering.
- To showcase advanced tools and concepts for strain improvement.
- To present global transcriptional machinery engineering (gTME) as a novel approach.
Main Methods:
- Integration of 'omics' technologies and computational systems biology.
- Application of protein engineering and synthetic biology techniques.
- Implementation of global transcriptional machinery engineering (gTME).
Main Results:
- Demonstrated multigenic transcriptional changes via gTME.
- Achieved improved cellular phenotypes compared to single-gene perturbations.
- Illustrated a broader perspective of tools and concepts in metabolic engineering.
Conclusions:
- Metabolic engineering is increasingly adopting integrated, systems-level strategies.
- Advanced tools like gTME offer enhanced precision and scope for optimization.
- Future metabolic engineering efforts benefit from this holistic approach for improved strain properties.
Related Concept Videos
Bioreactor Controls-III
Other Glycolytic Pathways
Designing Growth Media for Bioreactors
Scale-Up Processes
Upstream Processing
Evolution of New Traits in Microbes

