CD Biosynsis provides a sophisticated platform for Chlamydomonas reinhardtii-Based Assay and Modeling Services, bridging the gap between high-throughput algal experimentation and predictive systems biology. Chlamydomonas reinhardtii is not only a model for photosynthesis and cilia biology but also an emerging chassis for the industrial production of lipids, hydrogen, and recombinant proteins. Our service integrates high-fidelity phenotyping assays with advanced computational modeling to quantify cellular behavior under diverse environmental and genetic conditions. We help researchers move beyond descriptive observations to achieve a mechanistic understanding of algal metabolism and signaling networks.
Our integrated approach utilizes the "Design-Build-Test-Learn" cycle to accelerate algal biotechnology. By combining multi-omics data—including transcriptomics, proteomics, and metabolomics—with genome-scale metabolic models (GEMs), we can simulate the impact of genetic modifications or environmental shifts before they are implemented in the lab. This predictive power is essential for optimizing the production of high-value bioproducts, where balancing growth with product synthesis is a major challenge. Whether you are investigating carbon concentrating mechanisms (CCM), light-harvesting efficiency, or the metabolic requirements for flagellar motility, our assay and modeling services provide the quantitative depth required for modern synthetic biology and metabolic engineering.
Get a QuoteModern algal research demands a systems-level perspective that can only be achieved by integrating diverse data streams. Our platform addresses the unique biological features of Chlamydomonas, such as its complex photosynthetic apparatus and its dual-genome regulation. We employ automated assay systems to capture high-resolution temporal data on growth, pigment composition, and metabolic flux. These data are then used to parameterize and validate custom computational models, allowing for the simulation of "in silico" experiments that guide the design of the next generation of engineered algal strains.
By leveraging advanced analytical tools like Pulse-Amplitude-Modulation (PAM) fluorometry and gas chromatography-mass spectrometry (GC-MS), we provide a comprehensive map of the cell's physiological state. This is particularly valuable for projects aiming to redirect carbon flux into specific pathways, such as fatty acid synthesis or hydrogen production. Our modeling services can identify inhibitory nodes or metabolic bottlenecks that are not apparent from single-gene studies, providing a holistic view of the algal factory's performance and resilience under industrial stress conditions.
PAM Fluorometry
Real-time quantification of photosynthetic efficiency (Fv/Fm), non-photochemical quenching (NPQ), and electron transport rates (ETR) to evaluate light utilization.
Gas Exchange Analysis
Measuring CO2 uptake and O2 evolution rates to quantify the efficiency of the Carbon Concentrating Mechanism (CCM) and net primary productivity.
Lipid & Pigment Analysis
Quantifying total fatty acid profiles (FAMEs), triacylglycerols (TAGs), and carotenoid composition using GC-MS and HPLC.
Metabolic Flux Analysis
Utilizing 13C-labeling experiments to map actual carbon flow through central metabolism, identifying competition between starch and lipid pathways.
Flagellar & Motility Assays
Automated tracking of swimming velocity and ciliary beat frequency to study the impact of genetic mutations on flagellar function.
Stress Response Assays
Monitoring cellular viability and oxidative stress markers under various conditions of light, temperature, and nutrient deprivation.
Our modeling platform turns raw assay data into actionable genetic and environmental strategies.
1. Metabolic Reconstruction
2. Flux Balance Analysis (FBA)
3. Kinetic Pathway Modeling
4. Multi-Omics Integration
Developing Genome-Scale Metabolic Models (GEMs) specific to Chlamydomonas reinhardtii. Including detailed representations of chloroplast, mitochondria, and cytosolic metabolism.
Performing FBA to predict optimal growth rates and nutrient requirements. Simulating the effect of gene knockouts or overexpressions on product yield (e.g., hydrogen or lipid accumulation).
Integrating transcriptomic and proteomic datasets into metabolic models to improve the accuracy of flux predictions and identify post-transcriptional regulatory nodes. Delivery of predictive reports for strain design.
Cross-Genomic Insight
Expertise in modeling the intricate metabolic coordination between the nuclear and chloroplast genomes, unique to photosynthetic eukaryotes.
Predictive Efficiency
Reduce laboratory "trial and error" by using validated computational models to prioritize the most promising genetic targets for strain optimization.
High-Resolution Data
Access to state-of-the-art analytical equipment ensures that your models are parameterized with high-quality, reproducible experimental data.
Industrial Alignment
Our assays and models are designed to reflect the stresses and growth conditions found in large-scale photobioreactors, facilitating industrial transition.
1. What is Flux Balance Analysis (FBA) and how does it help my project?
FBA is a mathematical approach to simulate the flow of metabolites through a metabolic network. It allows us to predict how your algal strain will react to nutrient changes or genetic edits, helping to identify which pathways to target for maximum product yield.
2. Can you model the coordination between photosynthesis and central metabolism?
Yes. Our models specifically include the energetic and carbon-fixing components of the chloroplast and how they supply the rest of the cell with ATP and carbon skeletons, allowing for a complete view of energy flux.
3. What type of samples do I need to provide for metabolic profiling?
Typically, we require harvested algal biomass or culture supernatant. We will provide specific protocols for quenching and shipping samples to ensure the metabolic state is preserved.
4. Do you provide validation for the computational predictions?
Yes. We recommend a "closed-loop" project where we first model the system, then perform targeted genetic edits (KO/KI), and finally assay the resulting strains to confirm the model's accuracy.
5. Can you model the impact of light intensity on biomass productivity?
Absolutely. Our photosynthetic assays (PAM) and modeling framework can simulate photo-inhibition and light-harvesting efficiency, allowing for the optimization of cultivation protocols in photobioreactors.
6. How long does a typical integrated assay and modeling project take?
Timelines depend on the complexity of the metabolic network being studied, but a standard project typically ranges from 12 to 18 weeks from sample receipt to the final modeling report.
7. Do you provide software or just the final report?
We provide a comprehensive report detailing all findings, as well as the model files (usually in SBML format) so that you can continue to use the model in your own research.
8. What is the benefit of integrating multi-omics data into the model?
Standard models only assume what is possible based on the genome. Integrating transcriptomic or proteomic data tells us what is actually happening in the cell, making the model predictions much more accurate and biologically relevant.
CRISPR-Cas9 technology represents a transformative advancement in gene editing techniques. The main function of the system is to precisely cut DNA sequences by combining guide RNA (gRNA) with the Cas9 protein. This technology became a mainstream genome editing tool quickly after its 2012 introduction because of its efficient, simple and low-cost nature.
The CRISPR gene editing system with its Cas9 version stands as a vital instrument for current biological research. CRISPR technology enables gene knockout (KO) through permanent gene expression blockage achieved by sequence disruption. Various scientific domains including disease modeling and drug screening employ this technology to study gene functions. CRISPR KO technology demonstrates high efficiency and precision but requires confirmation and verification post-implementation because unsatisfactory editing may produce off-target effects or incomplete gene knockouts which impact experimental result reliability. For precise and efficient Gene Editing Services - CD Biosynsis, Biosynsis offers comprehensive solutions tailored to your research needs.
The CRISPR-Cas9 knockout cell line was developed using CRISPR/Cas9 gene editing to allow scientists to remove genes accurately for research on gene function and disease models and pharmaceutical discovery. Genetic research considers this technology essential due to its high efficiency together with simple operation and broad usability.
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CD Biosynsis is a leading customer-focused biotechnology company dedicated to providing high-quality products, comprehensive service packages, and tailored solutions to support and facilitate the applications of synthetic biology in a wide range of areas.