Genetically encoded sensors enable real-time observation of metabolite production

doi:10.1073/pnas.1600375113

Title: Genetically encoded sensors enable real-time observation of metabolite production

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Authors:: Rogers, Jameson K.; Church, George M.

Publication Date:: 2016-02-08

Research Org.:: Harvard Univ., Cambridge, MA (United States)

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

OSTI Identifier:: 1237386

Alternate Identifier(s):: OSTI ID: 1348838

Grant/Contract Number:: FG02-02ER63445

Resource Type:: Published Article

Journal Name:: Proceedings of the National Academy of Sciences of the United States of America

Additional Journal Information:: Journal Name: Proceedings of the National Academy of Sciences of the United States of America; Journal ID: ISSN 0027-8424

Publisher:: Proceedings of the National Academy of Sciences

Country of Publication:: United States

Language:: English

Subject:: 59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; biotechnology; directed evolution; biosensor; metabolic engineering; synthetic biology

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                    Rogers, Jameson K., and Church, George M. Genetically encoded sensors enable real-time observation of metabolite production.  United States: N. p., 2016. 
        Web.  doi:10.1073/pnas.1600375113.

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                    Rogers, Jameson K., & Church, George M. Genetically encoded sensors enable real-time observation of metabolite production.  United States.  doi:10.1073/pnas.1600375113.

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                    Rogers, Jameson K., and Church, George M. Mon .  
        "Genetically encoded sensors enable real-time observation of metabolite production".  United States.  doi:10.1073/pnas.1600375113.

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@article{osti_1237386,

  title        = {Genetically encoded sensors enable real-time observation of metabolite production},

  author       = {Rogers, Jameson K. and Church, George M.},

  abstractNote = {},

  doi          = {10.1073/pnas.1600375113},

  journal      = {Proceedings of the National Academy of Sciences of the United States of America},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {2}

}

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DOI: 10.1073/pnas.1600375113

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