OUR TECHNOLOGY

Metabolic Flux Analysis (MFA)

  • MFA studies are carried out by feeding cells a non-radioactive isotopically labeled substrate (e.g., 13C-labeled glucose) and subsequently measuring the patterns of stable isotope incorporation that emerge in downstream metabolites using LC-MS, GC-MS, and NMR. 

  • A computational model of the intracellular metabolic network is used to determine pathway fluxes by integrating these isotope labeling data with additional measurements of extracellular nutrient uptake and product excretion rates. 

  • By systematically accounting for all extracellular carbon inputs and outputs and all major intracellular pathways, MFA can be used to reconstruct comprehensive flux maps depicting cell metabolism.

  • Comparison of flux maps obtained under varying experimental conditions or in the presence of targeted genetic manipulations provides a functional readout on the global impact these perturbations have on cell metabolism. 

 

CoreMFA

 
  • CoreMFA technology and software are customized to each customer’s application, facilitating the visualization and interpretation of actionable results.

  • Enables identification and elimination of bottlenecks, metabolic inefficiencies and wasteful byproduct pathways in industrial host organisms, markedly enhancing cell factory production rates and yields.

  • Allows users to optimize cell line and culture media development and enables selection of clones and/or conditions for high titer recombinant protein production.

  • Saves time and money: reduces time to achieving maximal efficiency and productivity, increases revenues and profitability.

AdobeStock_275090154.jpg

Our Process

 

1) Develop metabolic network model

2) Optimize tracers and measurements

3) Perform isotope labeling experiment

4) Measure extracellular exchange rates and 13C isotopomer abunances

5) Apply 13C MFA to estimate fluxes

AdobeStock_224820640 - blue.png

Our Advantages

 
AdobeStock_224820640 - blue.png

Custom Analysis
The CoreMFA software is customized to each customer’s application and facilitates the visualization and interpretation of results. CoreMFA identifies bottlenecks and other metabolic inefficiencies and provides actionable results to the customer.

Atomic-level Metabolite Measurement
The platform uses a stable isotope to provide atomic-level details that are easier to interpret.

Small Sample Sizes
The process requires only a small number of samples, which reduces the cost of producing samples and data analysis.​

Dynamic View of Metabolism
CoreMFA can visualize the rate at which metabolism is proceeding in measured pathways; thus, can control these rates with processes, nutrients and/or genetic engineering to improve quality and quantity of output.

Compare Process Variables
Metabolic maps with an overlay of flux results are easy to interpret flux rates and to compare multiple process variables to improve output.

Scenario Analysis

CoreMFA can evaluate alternative process conditions after the baseline model has been validated, which reduces the time and cost to optimize process conditions for different cell lines and/or products.

Metalytics-Logo_color.png

©2020 Metalytics, Inc.  |  Created by LA Web Design