Single Cell Technologies to Dissect Heterogenous Immune Cell Therapy Products
Katherine Mueller1,2,3, Krishanu Saha2,3,4
1Graduate Program in Cellular and Molecular Biology, University of Wisconsin-Madison, Madison, Wisconsin.
Current Opinion in Biomedical Engineering
|December 27, 2021
Summary
Single cell technologies offer powerful insights into immune cell manufacturing by profiling molecular heterogeneity. These advanced methods aim to identify critical quality attributes for predicting patient outcomes and optimizing cell therapies.
Area of Science:
- Life Sciences
- Immunology
- Biotechnology
Background:
- Single cell technologies have revolutionized life sciences research.
- Immune cell therapies, including autologous and allogeneic approaches, are increasingly entering clinical practice.
- Understanding cellular heterogeneity is crucial for effective cell manufacturing.
Purpose of the Study:
- To discuss methods, applications, and considerations for utilizing single cell technologies in immune cell manufacturing.
- To explore how molecular profiling can inform cell product quality and predict clinical outcomes.
- To highlight the potential of these technologies in redefining cell manufacturing processes.
Main Methods:
- Profiling molecular heterogeneity at multiple omics levels (genome, epigenome, transcriptome, proteome, metabolome, antigen receptor repertoire).
- Employing multi-omic approaches for comprehensive cellular analysis.
- Utilizing non-destructive and destructive omics techniques for cell monitoring and potency prediction.
Main Results:
- Single cell data can reveal molecular heterogeneity within cell products.
- Linking omics data to potency readouts and clinical data can identify Critical Quality Attributes.
- Non-destructive methods aid in monitoring cell state and gene editing impacts.
- Combining destructive and non-destructive omics can predict therapeutic potency.
Conclusions:
- Single cell technologies are essential for characterizing immune cell products.
- Identifying Critical Quality Attributes through multi-omic analysis can improve patient outcomes.
- These technologies are set to transform cell manufacturing into a more rapid, cost-effective, and high-throughput process.
- The integration of single cell approaches will enable better detection and response to dynamic cell states in manufacturing.


