scholarly journals Simultaneous readout of multiple FRET pairs using photochromism

2021 ◽  
Author(s):  
Thijs Roebroek ◽  
Wim Vandenberg ◽  
François Sipieter ◽  
Siewert Hugelier ◽  
Christophe Stove ◽  
...  

AbstractFörster resonant energy transfer (FRET) is a powerful mechanism to probe associations in situ. Simultaneously performing more than one FRET measurement can be challenging due to the spectral band-width required for the donor and acceptor fluorophores. We present an approach to distinguish overlapping FRET pairs based on the photochromism of the donor fluorophores, even if the involved fluorophores display essentially identical absorption and emission spectra. We develop the theory underlying this method and validate our approach using numerical simulations. To apply our system, we develop rsAKARev, a photochromic biosensor for cAMP-dependent kinase (PKA), and combine it with the spectrally-identical biosensor EKARev, a reporter for ERK kinase activity, to deliver simultaneous readout of both activities in the same cell. We further perform multiplexed PKA, ERK, and calcium measurements by including a third, spectrally-shifted biosensor. Our work demonstrates that exploiting donor photochromism in FRET can be a powerful approach to simultaneously read out multiple associations within living cells.

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Thijs Roebroek ◽  
Wim Vandenberg ◽  
François Sipieter ◽  
Siewert Hugelier ◽  
Christophe Stove ◽  
...  

AbstractFörster resonant energy transfer (FRET) is a powerful mechanism to probe associations in situ. Simultaneously performing more than one FRET measurement can be challenging due to the spectral bandwidth required for the donor and acceptor fluorophores. We present an approach to distinguish overlapping FRET pairs based on the photochromism of the donor fluorophores, even if the involved fluorophores display essentially identical absorption and emission spectra. We develop the theory underlying this method and validate our approach using numerical simulations. To apply our system, we develop rsAKARev, a photochromic biosensor for cAMP-dependent protein kinase (PKA), and combine it with the spectrally-identical biosensor EKARev, a reporter for extracellular signal-regulated kinase (ERK) activity, to deliver simultaneous readout of both activities in the same cell. We further perform multiplexed PKA, ERK, and calcium measurements by including a third, spectrally-shifted biosensor. Our work demonstrates that exploiting donor photochromism in FRET can be a powerful approach to simultaneously read out multiple associations within living cells.


The Analyst ◽  
2019 ◽  
Vol 144 (12) ◽  
pp. 3756-3764
Author(s):  
Shengrong Yu ◽  
Zhixue Du ◽  
Chaoqing Dong ◽  
Jicun Ren

FCS with the ABP strategy is a very promising method for studying endogenous protein kinases in living cells.


The Analyst ◽  
2021 ◽  
Author(s):  
Yaxin Wang ◽  
Dong-Xia Wang ◽  
Jia-Yi Ma ◽  
Jing Wang ◽  
Yichen Du ◽  
...  

Accurate and specific analysis of adenosine triphosphate (ATP) expression level in living cells can provide valuable information for understanding cell metabolism, physiological activities and pathologic mechanism. Herein, DNA nanolantern-based split...


2010 ◽  
Vol 397 (4) ◽  
pp. 750-755 ◽  
Author(s):  
Angela Vaasa ◽  
Marje Lust ◽  
Anna Terrin ◽  
Asko Uri ◽  
Manuela Zaccolo

2017 ◽  
Vol 17 (2) ◽  
pp. 1187-1205 ◽  
Author(s):  
Guangliang Fu ◽  
Fred Prata ◽  
Hai Xiang Lin ◽  
Arnold Heemink ◽  
Arjo Segers ◽  
...  

Abstract. Using data assimilation (DA) to improve model forecast accuracy is a powerful approach that requires available observations. Infrared satellite measurements of volcanic ash mass loadings are often used as input observations for the assimilation scheme. However, because these primary satellite-retrieved data are often two-dimensional (2-D) and the ash plume is usually vertically located in a narrow band, directly assimilating the 2-D ash mass loadings in a three-dimensional (3-D) volcanic ash model (with an integral observational operator) can usually introduce large artificial/spurious vertical correlations.In this study, we look at an approach to avoid the artificial vertical correlations by not involving the integral operator. By integrating available data of ash mass loadings and cloud top heights, as well as data-based assumptions on thickness, we propose a satellite observational operator (SOO) that translates satellite-retrieved 2-D volcanic ash mass loadings to 3-D concentrations. The 3-D SOO makes the analysis step of assimilation comparable in the 3-D model space.Ensemble-based DA is used to assimilate the extracted measurements of ash concentrations. The results show that satellite DA with SOO can improve the estimate of volcanic ash state and the forecast. Comparison with both satellite-retrieved data and aircraft in situ measurements shows that the effective duration of the improved volcanic ash forecasts for the distal part of the Eyjafjallajökull volcano is about 6 h.


1990 ◽  
Vol 39 (12) ◽  
pp. 1965
Author(s):  
ZHANG FANG-QING ◽  
ZHANG YA-FEI ◽  
YANG YING-HU ◽  
LI JING-QI ◽  
CHEN GUANG-HUA ◽  
...  

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