Cell Identity Prediction via Stress Response Fingerprinting
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Solution Overview
Problem
The current methods for producing biopharmaceuticals using mammalian producer cells are labor-intensive and time-consuming, particularly in identifying and validating the identity of clonally derived cells and predicting their fed batch performance, which involves extensive characterization and storage processes.
Innovation Solution
A method utilizing a unique stress response fingerprint generated by incubating cells with a panel of chemical stressor molecules to determine or predict cell identity, genetic stability, and fed batch performance, allowing for rapid identification and ranking of clones using a microtitre plate system and computational models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional cell line characterization methods are used, then cell identity can be determined, but the process is extremely time-consuming and labor-intensive, lasting up to 12 months
Solution Approach 1:
The invention changes the measurement parameters from traditional phenotypic characterization (growth curves, morphology) to genotypic fingerprinting using DNA barcodes and next-generation sequencing. This parameter change enables rapid, high-throughput identification of cell identities without compromising accuracy, reducing characterization time from months to days while maintaining precise cell identity determination
Solution Approach 2:
The invention creates digital copies of cell identities through DNA barcoding, where each cell is assigned a unique synthetic DNA sequence that serves as its identifier. This digital fingerprint can be rapidly read and compared without requiring physical manipulation or long-term culture maintenance, enabling fast characterization while preserving cell identity information
2Reliability
If hundreds of clonal populations are established and stored separately, then cell identity can be tracked, but the process requires extensive documentation and storage infrastructure
Solution Approach 1:
The invention extracts the identification information from physical cell storage and documentation systems, embedding unique DNA barcodes directly into each cell's genetic material. This extraction eliminates the need for external documentation systems, storage containers, and manual tracking, as the identification information is now intrinsic to each cell and can be rapidly read through sequencing
Solution Approach 2:
The invention replaces mechanical documentation systems (physical labels, storage containers, paper records) with a molecular identification system based on DNA barcodes and next-generation sequencing. This substitution eliminates the complexity of manual tracking and storage infrastructure while improving reliability through automated, high-throughput genetic fingerprinting
3Measurement precision
If fed batch performance is determined by monitoring clones over 10+ days, then performance metrics can be accurately measured, but the process is time-consuming and labor-intensive
Solution Approach 1:
The invention performs preliminary genetic fingerprinting of cell lines using DNA barcodes before conducting fed batch performance studies. This preliminary identification allows for rapid tracking and association of performance data with specific cell identities, enabling parallel processing of multiple clones and significantly increasing screening throughput while maintaining accurate performance measurement through proper sample identification
Data Source
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AI summary
A method of determining or predicting a characteristic of a query cell, for example the identity of the query cell, is described. The method comprises the steps of incubating the query cell with a plurality of chemical cell stressor molecules, determining the growth response of the query cell in the presence of each of the at least three chemical cell stressor molecules to generate a query cell-specific growth response fingerprint, and comparing the query cell- specific growth response fingerprint with one or more reference cell-specific growth response fingerprints corresponding to one or more cells having known characteristics. The characteristic of the cell (for example the identity of the cell) may be determined based on the level of correlation between the query cell-specific growth response fingerprint and the one or more reference cell-specific growth response fingerprints.