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Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution
Compartmentalized biochemical activities are essential to all cellular processes, but there is no generalizable method to visualize dynamic protein activities in living cells at a resolution commensurate with their compartmentalization. Here we introduce a new class of fluorescent biosensors that de...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388356/ https://www.ncbi.nlm.nih.gov/pubmed/28288122 http://dx.doi.org/10.1038/nmeth.4221 |
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author | Mo, Gary C.H. Ross, Brian Hertel, Fabian Manna, Premashis Yang, Xinxing Greenwald, Eric Booth, Chris Plummer, Ashlee M. Tenner, Brian Chen, Zan Wang, Yuxiao Kennedy, Eileen J. Cole, Philip A. Fleming, Karen G. Palmer, Amy Jimenez, Ralph Xiao, Jie Dedecker, Peter Zhang, Jin |
author_facet | Mo, Gary C.H. Ross, Brian Hertel, Fabian Manna, Premashis Yang, Xinxing Greenwald, Eric Booth, Chris Plummer, Ashlee M. Tenner, Brian Chen, Zan Wang, Yuxiao Kennedy, Eileen J. Cole, Philip A. Fleming, Karen G. Palmer, Amy Jimenez, Ralph Xiao, Jie Dedecker, Peter Zhang, Jin |
author_sort | Mo, Gary C.H. |
collection | PubMed |
description | Compartmentalized biochemical activities are essential to all cellular processes, but there is no generalizable method to visualize dynamic protein activities in living cells at a resolution commensurate with their compartmentalization. Here we introduce a new class of fluorescent biosensors that detect biochemical activities in living cells at a resolution up to three-fold better than the diffraction limit. Utilizing specific, binding-induced changes in protein fluorescence dynamics, these biosensors translate kinase activities or protein-protein interactions into changes in fluorescence fluctuations, which are quantifiable through stochastic optical fluctuation imaging. A Protein Kinase A (PKA) biosensor allowed us to resolve minute PKA activity microdomains on the plasma membrane of living cells and uncover the role of clustered anchoring proteins in organizing these activity microdomains. Together, these findings suggest that biochemical activities of the cell are spatially organized into an activity architecture, whose structural and functional characteristics can be revealed by these new biosensors. |
format | Online Article Text |
id | pubmed-5388356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-53883562017-09-13 Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution Mo, Gary C.H. Ross, Brian Hertel, Fabian Manna, Premashis Yang, Xinxing Greenwald, Eric Booth, Chris Plummer, Ashlee M. Tenner, Brian Chen, Zan Wang, Yuxiao Kennedy, Eileen J. Cole, Philip A. Fleming, Karen G. Palmer, Amy Jimenez, Ralph Xiao, Jie Dedecker, Peter Zhang, Jin Nat Methods Article Compartmentalized biochemical activities are essential to all cellular processes, but there is no generalizable method to visualize dynamic protein activities in living cells at a resolution commensurate with their compartmentalization. Here we introduce a new class of fluorescent biosensors that detect biochemical activities in living cells at a resolution up to three-fold better than the diffraction limit. Utilizing specific, binding-induced changes in protein fluorescence dynamics, these biosensors translate kinase activities or protein-protein interactions into changes in fluorescence fluctuations, which are quantifiable through stochastic optical fluctuation imaging. A Protein Kinase A (PKA) biosensor allowed us to resolve minute PKA activity microdomains on the plasma membrane of living cells and uncover the role of clustered anchoring proteins in organizing these activity microdomains. Together, these findings suggest that biochemical activities of the cell are spatially organized into an activity architecture, whose structural and functional characteristics can be revealed by these new biosensors. 2017-03-13 2017-04 /pmc/articles/PMC5388356/ /pubmed/28288122 http://dx.doi.org/10.1038/nmeth.4221 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Mo, Gary C.H. Ross, Brian Hertel, Fabian Manna, Premashis Yang, Xinxing Greenwald, Eric Booth, Chris Plummer, Ashlee M. Tenner, Brian Chen, Zan Wang, Yuxiao Kennedy, Eileen J. Cole, Philip A. Fleming, Karen G. Palmer, Amy Jimenez, Ralph Xiao, Jie Dedecker, Peter Zhang, Jin Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title | Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title_full | Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title_fullStr | Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title_full_unstemmed | Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title_short | Genetically-Encoded Biosensors for Visualizing Live-cell Biochemical Activity at Superresolution |
title_sort | genetically-encoded biosensors for visualizing live-cell biochemical activity at superresolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388356/ https://www.ncbi.nlm.nih.gov/pubmed/28288122 http://dx.doi.org/10.1038/nmeth.4221 |
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