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New engineered phenolic biosensors based on the AraC regulatory protein.

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Title: New engineered phenolic biosensors based on the AraC regulatory protein.
Authors: Frei, C S1, Qian, S1, Cirino, P C1 pccirino@uh.edu
Source: PEDS: Protein Engineering, Design & Selection. Jun2018, Vol. 31 Issue 6, p213-220. 8p.
Subjects: Biosensors, Phenols, Transcription factors, High throughput screening (Drug development), Gene expression
Abstract: Customized transcription factors that control gene expression in response to small molecules can act as endogenous molecular biosensors and are valuable tools for synthetic biology. We previously engineered the Escherichia coli regulatory protein AraC to respond to non-native inducers such as D-arabinose and triacetic acid lactone. Those prior studies involved the construction and screening of individual 4- or 5-site saturation mutagenesis libraries, followed by iterative rounds of positive- and negative fluorescence-activated cell sorting (FACS). Here we describe an improved screening platform and the isolation of several new and potentially useful AraC variants that respond to vanillin and salicylic acid. To increase throughput and reduce total screening time, selection steps were added to the sorting workflow. Two different site-saturation libraries and a random mutagenesis library were pooled together and >108 variants were subjected to iterative FACS and selection in search of variants responding to a panel of compounds. The new phenolic-sensing variants show responses >100-fold over background and are highly specific towards their target compound. The isolation of these variants further demonstrates the potential for engineering the AraC transcriptional regulatory protein for molecular sensing and reporting, and our improved screening system should prove effective in designing similar biosensors. [ABSTRACT FROM AUTHOR]
Copyright of PEDS: Protein Engineering, Design & Selection is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: New engineered phenolic biosensors based on the AraC regulatory protein.
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  Data: <searchLink fieldCode="AR" term="%22Frei%2C+C+S%22">Frei, C S</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Qian%2C+S%22">Qian, S</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cirino%2C+P+C%22">Cirino, P C</searchLink><relatesTo>1</relatesTo><i> pccirino@uh.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22PEDS%3A+Protein+Engineering%2C+Design+%26+Selection%22">PEDS: Protein Engineering, Design & Selection</searchLink>. Jun2018, Vol. 31 Issue 6, p213-220. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Biosensors%22">Biosensors</searchLink><br /><searchLink fieldCode="DE" term="%22Phenols%22">Phenols</searchLink><br /><searchLink fieldCode="DE" term="%22Transcription+factors%22">Transcription factors</searchLink><br /><searchLink fieldCode="DE" term="%22High+throughput+screening+%28Drug+development%29%22">High throughput screening (Drug development)</searchLink><br /><searchLink fieldCode="DE" term="%22Gene+expression%22">Gene expression</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: Customized transcription factors that control gene expression in response to small molecules can act as endogenous molecular biosensors and are valuable tools for synthetic biology. We previously engineered the Escherichia coli regulatory protein AraC to respond to non-native inducers such as D-arabinose and triacetic acid lactone. Those prior studies involved the construction and screening of individual 4- or 5-site saturation mutagenesis libraries, followed by iterative rounds of positive- and negative fluorescence-activated cell sorting (FACS). Here we describe an improved screening platform and the isolation of several new and potentially useful AraC variants that respond to vanillin and salicylic acid. To increase throughput and reduce total screening time, selection steps were added to the sorting workflow. Two different site-saturation libraries and a random mutagenesis library were pooled together and >108 variants were subjected to iterative FACS and selection in search of variants responding to a panel of compounds. The new phenolic-sensing variants show responses >100-fold over background and are highly specific towards their target compound. The isolation of these variants further demonstrates the potential for engineering the AraC transcriptional regulatory protein for molecular sensing and reporting, and our improved screening system should prove effective in designing similar biosensors. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of PEDS: Protein Engineering, Design & Selection is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1093/protein/gzy024
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 213
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      – SubjectFull: Biosensors
        Type: general
      – SubjectFull: Phenols
        Type: general
      – SubjectFull: Transcription factors
        Type: general
      – SubjectFull: High throughput screening (Drug development)
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      – SubjectFull: Gene expression
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      – TitleFull: New engineered phenolic biosensors based on the AraC regulatory protein.
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            – D: 01
              M: 06
              Text: Jun2018
              Type: published
              Y: 2018
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              Value: 31
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            – TitleFull: PEDS: Protein Engineering, Design & Selection
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