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Molecular Evolution of the Tre Recombinase
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Technologies for the Directed Evolution of Cell Therapies
11 Department of Bioengineering and Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, Los Angeles, CA, USA.
SLAS Technology
|March 28, 2019
Summary
Cell therapies represent a new frontier in medicine, offering advanced treatment potential beyond traditional drugs. Engineering cellular traits using automated tools and genetic diversity can optimize cell therapies for greater therapeutic impact.
Area of Science:
- Biotechnology
- Cellular Engineering
- Therapeutic Development
Background:
- Cell therapies are emerging as a next-generation treatment modality, surpassing small molecules and proteins.
- Current cell engineering primarily focuses on protein introduction, limiting the modulation of complex cellular functions critical for disease treatment.
- Chimeric antigen receptor (CAR) T cells exemplify success but highlight the need for broader cellular engineering capabilities.
Purpose of the Study:
- To explore methods for enhancing cell therapy efficacy by engineering large-scale cellular traits.
- To investigate the use of quantitative automation and directed evolution for optimizing cell populations.
- To uncover the genetic basis of therapeutically beneficial cellular traits.
Main Methods:
- Utilizing quantitative automation tools for analyzing, sorting, and selecting rare cells with desirable traits.
- Employing genetic or epigenetic mutagenesis to generate cellular diversity.
- Implementing directed cellular evolution to develop optimized cell populations.
Main Results:
- The study outlines a framework for enhancing cell therapy efficacy through advanced cellular engineering.
- Identified opportunities to modulate large-scale cellular traits beyond simple protein expression.
- Proposed methods for uncovering genetic underpinnings of optimal cellular functions.
Conclusions:
- Engineering complex cellular traits holds significant potential for breakthrough therapeutic impacts.
- Quantitative automation and directed evolution are key enablers for advancing cell therapy development.
- This approach can lead to novel cell populations with superior therapeutic properties and a deeper understanding of cellular mechanisms in disease.
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