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Unearthing the transition rates between photoreceptor conformers

BACKGROUND: Obtaining accurate estimates of biological or enzymatic reaction rates is critical in understanding the design principles of a network and how biological processes can be experimentally manipulated on demand. In many cases experimental limitations mean that some enzymatic rates cannot be...

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Autores principales: Smith, Robert W., Helwig, Britta, Westphal, Adrie H., Pel, Eran, Hörner, Maximilian, Beyer, Hannes M., Samodelov, Sophia L., Weber, Wilfried, Zurbriggen, Matias D., Borst, Jan Willem, Fleck, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123409/
https://www.ncbi.nlm.nih.gov/pubmed/27884151
http://dx.doi.org/10.1186/s12918-016-0368-y
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author Smith, Robert W.
Helwig, Britta
Westphal, Adrie H.
Pel, Eran
Hörner, Maximilian
Beyer, Hannes M.
Samodelov, Sophia L.
Weber, Wilfried
Zurbriggen, Matias D.
Borst, Jan Willem
Fleck, Christian
author_facet Smith, Robert W.
Helwig, Britta
Westphal, Adrie H.
Pel, Eran
Hörner, Maximilian
Beyer, Hannes M.
Samodelov, Sophia L.
Weber, Wilfried
Zurbriggen, Matias D.
Borst, Jan Willem
Fleck, Christian
author_sort Smith, Robert W.
collection PubMed
description BACKGROUND: Obtaining accurate estimates of biological or enzymatic reaction rates is critical in understanding the design principles of a network and how biological processes can be experimentally manipulated on demand. In many cases experimental limitations mean that some enzymatic rates cannot be measured directly, requiring mathematical algorithms to estimate them. Here, we describe a methodology that calculates rates at which light-regulated proteins switch between conformational states. We focus our analysis on the phytochrome family of photoreceptors found in cyanobacteria, plants and many optogenetic tools. Phytochrome proteins change between active (P (A)) and inactive (P (I)) states at rates that are proportional to photoconversion cross-sections and influenced by light quality, light intensity, thermal reactions and dimerisation. This work presents a method that can accurately calculate these photoconversion cross-sections in the presence of multiple non-light regulated reactions. RESULTS: Our approach to calculating the photoconversion cross-sections comprises three steps: i) calculate the thermal reversion reaction rate(s); ii) develop search spaces from which all possible sets of photoconversion cross-sections exist, and; iii) estimate extinction coefficients that describe our absorption spectra. We confirm that the presented approach yields accurate results through the use of simulated test cases. Our test cases were further expanded to more realistic scenarios where noise, multiple thermal reactions and dimerisation are considered. Finally, we present the photoconversion cross-sections of an Arabidopsis phyB N-terminal fragment commonly used in optogenetic tools. CONCLUSIONS: The calculation of photoconversion cross-sections has implications for both photoreceptor and synthetic biologists. Our method allows, for the first time, direct comparisons of photoconversion cross-sections and response speeds of photoreceptors in different cellular environments and synthetic tools. Due to the generality of our procedure, as shown by the application to multiple test cases, the photoconversion cross-sections and quantum yields of any photoreceptor might now, in principle, be obtained. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0368-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-51234092016-12-08 Unearthing the transition rates between photoreceptor conformers Smith, Robert W. Helwig, Britta Westphal, Adrie H. Pel, Eran Hörner, Maximilian Beyer, Hannes M. Samodelov, Sophia L. Weber, Wilfried Zurbriggen, Matias D. Borst, Jan Willem Fleck, Christian BMC Syst Biol Methodology Article BACKGROUND: Obtaining accurate estimates of biological or enzymatic reaction rates is critical in understanding the design principles of a network and how biological processes can be experimentally manipulated on demand. In many cases experimental limitations mean that some enzymatic rates cannot be measured directly, requiring mathematical algorithms to estimate them. Here, we describe a methodology that calculates rates at which light-regulated proteins switch between conformational states. We focus our analysis on the phytochrome family of photoreceptors found in cyanobacteria, plants and many optogenetic tools. Phytochrome proteins change between active (P (A)) and inactive (P (I)) states at rates that are proportional to photoconversion cross-sections and influenced by light quality, light intensity, thermal reactions and dimerisation. This work presents a method that can accurately calculate these photoconversion cross-sections in the presence of multiple non-light regulated reactions. RESULTS: Our approach to calculating the photoconversion cross-sections comprises three steps: i) calculate the thermal reversion reaction rate(s); ii) develop search spaces from which all possible sets of photoconversion cross-sections exist, and; iii) estimate extinction coefficients that describe our absorption spectra. We confirm that the presented approach yields accurate results through the use of simulated test cases. Our test cases were further expanded to more realistic scenarios where noise, multiple thermal reactions and dimerisation are considered. Finally, we present the photoconversion cross-sections of an Arabidopsis phyB N-terminal fragment commonly used in optogenetic tools. CONCLUSIONS: The calculation of photoconversion cross-sections has implications for both photoreceptor and synthetic biologists. Our method allows, for the first time, direct comparisons of photoconversion cross-sections and response speeds of photoreceptors in different cellular environments and synthetic tools. Due to the generality of our procedure, as shown by the application to multiple test cases, the photoconversion cross-sections and quantum yields of any photoreceptor might now, in principle, be obtained. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12918-016-0368-y) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-25 /pmc/articles/PMC5123409/ /pubmed/27884151 http://dx.doi.org/10.1186/s12918-016-0368-y Text en © The Author(s) 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Methodology Article
Smith, Robert W.
Helwig, Britta
Westphal, Adrie H.
Pel, Eran
Hörner, Maximilian
Beyer, Hannes M.
Samodelov, Sophia L.
Weber, Wilfried
Zurbriggen, Matias D.
Borst, Jan Willem
Fleck, Christian
Unearthing the transition rates between photoreceptor conformers
title Unearthing the transition rates between photoreceptor conformers
title_full Unearthing the transition rates between photoreceptor conformers
title_fullStr Unearthing the transition rates between photoreceptor conformers
title_full_unstemmed Unearthing the transition rates between photoreceptor conformers
title_short Unearthing the transition rates between photoreceptor conformers
title_sort unearthing the transition rates between photoreceptor conformers
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123409/
https://www.ncbi.nlm.nih.gov/pubmed/27884151
http://dx.doi.org/10.1186/s12918-016-0368-y
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