Synthetic biology, genetic circuits and machine learning: a new age of cancer therapy
Details
Publication Year 2023-04-01,Volume 17,Issue #6,Page 946-949
Journal Title
Molecular Oncology
Abstract
Synthetic biology has made it possible to rewire natural cellular responses to treat disease, notably demonstrated by chimeric antigen receptor (CAR) T cells as cancer immunotherapy. Building on the success of T-cell activation using synthetic receptors, the field is now investigating how induction of noncanonical signalling pathways and sophisticated synthetic gene circuitry can enhance the antitumour phenotype of engineered T cells. This commentary explores two recently published studies that provide proof of concept for how new technologies achieve this. The first demonstrated that non-naturally occurring combinations of signalling motifs derived from various immune receptors and arranged as a CAR drove unique signal transduction pathways in T cells and improved their tumour killing ability. Here, machine learning complemented the screening process and successfully predicted CAR T-cell phenotype dependent on signalling motif choice. The second explored how synthetic zinc fingers can be engineered into controllable transcriptional regulators, where their activity was dependent on the presence or absence of FDA-approved small-molecule drugs. These studies are pivotal in expanding the design choices available for gene circuits of the future and highlight how a single cellular therapy could respond to multiple environmental cues including target cell antigen expression, the tumour microenvironment composition and small molecule drugs.
Publisher
Wiley
Keywords
chimeric antigen receptor T cells; gene circuits; immunotherapy; signalling; synthetic biology
Research Division(s)
Immunology
PubMed ID
37002698
Open Access at Publisher's Site
https://doi.org/10.1002/1878-0261.13420
Terms of Use/Rights Notice
Refer to copyright notice on published article.


Creation Date: 2023-04-18 01:58:56
Last Modified: 2023-06-26 11:13:18
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