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Nature Communications
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Nature Communications
Article . 2020
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Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity

Authors: Daniel S. Leventhal; Anna Sokolovska; Ning Li; Christopher Plescia; Starsha A. Kolodziej; Carey W. Gallant; Rudy Christmas; +9 Authors

Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity

Abstract

AbstractSynthetic biology is a powerful tool to create therapeutics which can be rationally designed to enable unique and combinatorial functionalities. Here we utilize non-pathogenic E coli Nissle as a versatile platform for the development of a living biotherapeutic for the treatment of cancer. The engineered bacterial strain, referred to as SYNB1891, targets STING-activation to phagocytic antigen-presenting cells (APCs) in the tumor and activates complementary innate immune pathways. SYNB1891 treatment results in efficacious antitumor immunity with the formation of immunological memory in murine tumor models and robust activation of human APCs. SYNB1891 is designed to meet manufacturability and regulatory requirements with built in biocontainment features which do not compromise its efficacy. This work provides a roadmap for the development of future therapeutics and demonstrates the transformative potential of synthetic biology for the treatment of human disease when drug development criteria are incorporated into the design process for a living medicine.

Keywords

Mice, Knockout, Mice, Inbred BALB C, Phagocytes, Science, Q, Antigen-Presenting Cells, Membrane Proteins, Article, Mice, Inbred C57BL, Mice, Cell Line, Tumor, Neoplasms, Interferon Type I, Escherichia coli, Animals, Humans, Synthetic Biology, Immunotherapy, Genetic Engineering, Signal Transduction

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    367
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 0.1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
Powered by OpenAIRE graph
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
367
Top 0.1%
Top 10%
Top 0.1%
Green
gold