Engineer microbial hosts for enhanced production of target compounds through rational metabolic pathway design and gene editing.
We combine metabolic modeling, gene editing, and high-throughput screening to develop optimized chassis strains tailored to your target molecule.
Our chassis optimization service begins with understanding the metabolic landscape of your chosen host and ends with a validated production strain.
We use genome-scale metabolic models to simulate flux distributions and identify rate‑limiting steps. This in silico analysis guides gene targets for knockout, overexpression, or heterologous pathway integration, reducing trial‑and‑error in the lab.
Our scientists design CRISPR sgRNAs and repair templates for precise, scarless modifications. We transform the constructs into the host, screen for correct edits, and isolate clonal populations for downstream testing.
Modeling and wet‑lab experiments are tightly coupled: each screening round refines the model, enabling data‑driven iteration toward higher titers.
We apply multiple rounds of modification and analysis, adjusting pathway flux and regulatory elements until production targets are met or further improvement plateaus.
Every optimized strain is verified by targeted sequencing and metabolite profiling (LC‑MS/GC‑MS). Growth, productivity, and stability are documented in a final report.
At project completion, you receive a fully characterized and optimized chassis strain along with comprehensive documentation.
Each project is scoped case‑by‑case. The table below illustrates typical parameters that are defined during the consultation phase.
| Parameter | Typical project scope |
|---|---|
| Host Organism | Bacteria (E. coli, Bacillus), yeast (S. cerevisiae), or fungus (e.g., A. niger); other organisms upon request. |
| Target Pathway | Specified by client; supported by literature and in silico modeling. |
| Genetic Modification Strategy | Gene knockout, knock-in, overexpression, or promoter engineering using CRISPR or homologous recombination. |
| Screening Method | Microtiter plate or shake-flask screening; high‑throughput if scoped. |
| Metabolite Analysis | LC-MS, GC-MS, HPLC as per target compound; quantitative and qualitative. |
| Validation | Genome sequencing (target loci), metabolite profiling, and growth characterization. |
A structured, five‑stage pipeline that moves from pathway analysis to deliverable handoff.
We begin by analyzing the metabolic network of your chosen host, constructing a genome‑scale model to identify flux bottlenecks and prioritize gene targets for modification.
Based on the model predictions, we design CRISPR sgRNAs and repair templates for precise knockout, knock-in, or overexpression of target genes, with in silico off‑target screening.
The designed constructs are transformed into the host strain. We screen for successful modifications using PCR, sequencing, and selection markers, and isolate homogeneous clones.
Engineered strains are cultured under controlled conditions and evaluated for metabolite production. We iterate on design based on screening data to further evaluate yield.
Final optimized strains undergo comprehensive QC including full‑genome assessment of edits, metabolite quantification, and fermentation performance assessment. Full data package delivered.
Chassis optimization is applied to a wide range of product classes, from small molecules to recombinant proteins.
Engineered microbes can produce complex chiral intermediates and secondary metabolites that are difficult to synthesize chemically. We evaluate pathways for APIs such as alkaloids, terpenoids, and non‑ribosomal peptides.
By balancing metabolic load and optimizing secretion pathways, we evaluate the production of industrial enzymes (cellulases, lipases) and therapeutic proteins. Gene dosage and promoter tuning are applied iteratively.
We engineer microbial chassis for sustainable production of natural product analogs, such as vanillin, carotenoids, and fatty acid derivatives. The approach reduces reliance on extraction from natural sources.
Answers to the most common inquiries about chassis optimization projects.
You will receive a purified glycerol stock of the optimized strain, a sequence‑verified parental control, and a comprehensive data package. The data package includes final project methodology, sequencing results, metabolite quantification (LC‑MS/GC‑MS), and fermentation performance metrics (titer, rate, yield). Strain stability data over passaging is also provided.
All genetic modifications are integrated into the chromosome or maintained on stable replicons. We perform serial passaging for at least 20 generations and re‑sequence the target loci to confirm that no mutations or loss of modification occurs. Stability data is reported in the final deliverable.
Yes, we can accept client‑supplied strains. The scope parameter “Host Organism” will include specific handling and confidentiality agreements. We will assess compatibility with our transformation and screening protocols during the consultation phase.
The final strain undergoes targeted genome sequencing of the edited regions to confirm the intended genotype, plus flanking homology arm assessment. Metabolite production is quantified by LC‑MS or GC‑MS, and growth kinetics are measured in defined media. All data is compiled into a traceable QC report.
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