Our VectorSelect™ platform leverages leading-edge DNA library synthesis, next generation sequencing, and machine learning to dramatically increase experimental throughput and enable discovery of cell lines with otherwise unattainable and radically improved productivities. Our key innovation involves a proprietary genetic barcoding method that connects information on viral vector productivity back to the parent cell which produced it, enabling massively parallelized genetic screens of millions of candidate production cell lines simultaneously. As each experiment using this platform generates a large amount of genetic data, we utilize machine learning to filter trillions of possible solutions into millions of screenable genetic combinations, increasing the speed and efficacy of cell line discovery.
Library design and assembly
Hundreds of millions of nucleic acid sequences are designed, synthesized and used to build mammalian cell lines.
Massively multiplexed cellular measurement
Using VectorSelect™’s novel barcoding technology, viral vector productivity can be measured from individual mutant cells in a pooled format, enabling the entire library to be screened in a single experiment.
Iteration and deep mutational enrichment
Our flexible barcoding technology facilitates rapid library recomposition and iteration of screens, building up complex mutated cell libraries containing combinations of the most successful target mutations. This enables discovery and fine-tuning of extremely complex mutant genotypes that result in cell lines with radically improved productivities.
Computational modeling and prediction
We further use computational tools to learn from our and rich and growing collection of cell line performance data, filtering trillions of possible combinatorial genetic solutions into millions predicted to occupy the most functionally impacted genetic spaces. Thus, each new experiment strengthens our cell database and enhances the speed and efficacy of cell line discovery.