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A genetically encoded, high-signal-to-noise maltose sensor
We describe the generation of a family of high-signal-to-noise single-wavelength genetically encoded indicators for maltose. This was achieved by insertion of circularly permuted fluorescent proteins into a bacterial periplasmic binding protein (PBP), Escherichia coli maltodextrin-binding protein, r...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wiley Subscription Services, Inc., A Wiley Company
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3265398/ https://www.ncbi.nlm.nih.gov/pubmed/21989929 http://dx.doi.org/10.1002/prot.23118 |
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author | Marvin, Jonathan S Schreiter, Eric R Echevarría, Ileabett M Looger, Loren L |
author_facet | Marvin, Jonathan S Schreiter, Eric R Echevarría, Ileabett M Looger, Loren L |
author_sort | Marvin, Jonathan S |
collection | PubMed |
description | We describe the generation of a family of high-signal-to-noise single-wavelength genetically encoded indicators for maltose. This was achieved by insertion of circularly permuted fluorescent proteins into a bacterial periplasmic binding protein (PBP), Escherichia coli maltodextrin-binding protein, resulting in a four-color family of maltose indicators. The sensors were iteratively optimized to have sufficient brightness and maltose-dependent fluorescence increases for imaging, under both one- and two-photon illumination. We demonstrate that maltose affinity of the sensors can be tuned in a fashion largely independent of the fluorescent readout mechanism. Using literature mutations, the binding specificity could be altered to moderate sucrose preference, but with a significant loss of affinity. We use the soluble sensors in individual E. coli bacteria to observe rapid maltose transport across the plasma membrane, and membrane fusion versions of the sensors on mammalian cells to visualize the addition of maltose to extracellular media. The PBP superfamily includes scaffolds specific for a number of analytes whose visualization would be critical to the reverse engineering of complex systems such as neural networks, biosynthetic pathways, and signal transduction cascades. We expect the methodology outlined here to be useful in the development of indicators for many such analytes. |
format | Online Article Text |
id | pubmed-3265398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Wiley Subscription Services, Inc., A Wiley Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-32653982012-05-01 A genetically encoded, high-signal-to-noise maltose sensor Marvin, Jonathan S Schreiter, Eric R Echevarría, Ileabett M Looger, Loren L Proteins Research Articles We describe the generation of a family of high-signal-to-noise single-wavelength genetically encoded indicators for maltose. This was achieved by insertion of circularly permuted fluorescent proteins into a bacterial periplasmic binding protein (PBP), Escherichia coli maltodextrin-binding protein, resulting in a four-color family of maltose indicators. The sensors were iteratively optimized to have sufficient brightness and maltose-dependent fluorescence increases for imaging, under both one- and two-photon illumination. We demonstrate that maltose affinity of the sensors can be tuned in a fashion largely independent of the fluorescent readout mechanism. Using literature mutations, the binding specificity could be altered to moderate sucrose preference, but with a significant loss of affinity. We use the soluble sensors in individual E. coli bacteria to observe rapid maltose transport across the plasma membrane, and membrane fusion versions of the sensors on mammalian cells to visualize the addition of maltose to extracellular media. The PBP superfamily includes scaffolds specific for a number of analytes whose visualization would be critical to the reverse engineering of complex systems such as neural networks, biosynthetic pathways, and signal transduction cascades. We expect the methodology outlined here to be useful in the development of indicators for many such analytes. Wiley Subscription Services, Inc., A Wiley Company 2011-11 2011-10-12 /pmc/articles/PMC3265398/ /pubmed/21989929 http://dx.doi.org/10.1002/prot.23118 Text en Copyright © 2011 Wiley-Liss, Inc. http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation. |
spellingShingle | Research Articles Marvin, Jonathan S Schreiter, Eric R Echevarría, Ileabett M Looger, Loren L A genetically encoded, high-signal-to-noise maltose sensor |
title | A genetically encoded, high-signal-to-noise maltose sensor |
title_full | A genetically encoded, high-signal-to-noise maltose sensor |
title_fullStr | A genetically encoded, high-signal-to-noise maltose sensor |
title_full_unstemmed | A genetically encoded, high-signal-to-noise maltose sensor |
title_short | A genetically encoded, high-signal-to-noise maltose sensor |
title_sort | genetically encoded, high-signal-to-noise maltose sensor |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3265398/ https://www.ncbi.nlm.nih.gov/pubmed/21989929 http://dx.doi.org/10.1002/prot.23118 |
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