Genetically encoded sensors enable real-time observation of metabolite production

Rogers, Jameson K.; Church, George M.

doi:10.1073/pnas.1600375113

Genetically encoded sensors enable real-time observation of metabolite production

Journal Article · Mon Feb 08 00:00:00 EST 2016 · Proceedings of the National Academy of Sciences of the United States of America

DOI:https://doi.org/10.1073/pnas.1600375113· OSTI ID:1237386

Rogers, Jameson K.; Church, George M.

Advances in biotechnology are enabling engineers to harness natural processes for the production of valuable new chemicals and materials. Cells engineered for chemical production act as renewable factories and redefine what is possible in industries as diverse as manufacturing, pharmaceuticals, and energy. Despite this potential, long and uncertain timelines for biobased product development hinder progress. Engineering cells for chemical production is challenging because the complexity of biology necessitates many attempted designs before an optimal combination of genetic elements or culture conditions is discovered. In this work, we develop a framework that allows design evaluation to be performed with fluorescence such that microbial chemical production can be monitored in real time without the need for sample preparation or laborious analytical techniques.

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Research Organization:: Harvard Univ., Boston, MA (United States)

Sponsoring Organization:: USDOE; USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)

Grant/Contract Number:: FG02-02ER63445

OSTI ID:: 1237386

Alternate ID(s):: OSTI ID: 1348838

Journal Information:: Proceedings of the National Academy of Sciences of the United States of America, Journal Name: Proceedings of the National Academy of Sciences of the United States of America Journal Issue: 9 Vol. 113; ISSN 0027-8424

Publisher:: National Academy of Sciences, Washington, DC (United States)Copyright Statement

Country of Publication:: United States

Language:: English

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Genetically encoded sensors enable real-time observation of metabolite production

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