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81
A GENETICALLY ENCODED BIOSENSOR ROKATE FOR MONITORING THE REDOX STATE OF THE GLUTATHIONE POOL
Shokhina AG1, Belousov VV1-2, Bilan DS1 и
1 Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
2 Institute of Translatinoal Medicine,
Pirogov Russian National Research Medical University, Moscow, Russia
Genetically encoded fluorescent sensors are exploited to study a variety of biological processes in living organisms in real time. In recent years, a whole family of biosensors has been developed, serving to visualize changes in the glutathione redox state. The aim of our experiment was to design a biosensor based on the red fluorescent protein mKate2 for measuring the 2GSH/GSSG ratio. A pair of cysteine amino acid residues were introduced into the structure of the fluorescent protein using site-directed mutagenesis. These residues form a disulfide bridge when the surrounding glutathione pool is oxidized, affecting the spectral characteristics of the protein. Our biosensor, which we called roKate, was tested in vitro on an isolated protein. Specifically, we examined the spectral characteristics, pH and the redox potential of the sensor. Additionally, the performance of roKate was evaluated using the culture of living mammalian cells. The fluorescent signal emitted by the sensor was very bright and remarkably stable under pH conditions varying in the physiological range. Irreversibly oxidized in mammalian cells, roKate stands out from other members of this biosensor family. This biosensor should be preferred in the experiments when the time between the manipulations with the biological object and the subsequent analysis of the induced effect is substantial, as is the case with long sample preparation.
Keywords: genetically encoded fluorescent sensor, glutathione, 2GSH/GSSG ratio, roKate
Funding: this work was supported by the Russian Foundation for Basic Research (Project mol_a_dk No.16-34-60175).
Author contribution: Shokhina AG was responsible for the experimental part of the study. Belousov VV and Bilan DS supervised the study and prepared this manuscript.
[x] Correspondence should be addressed: Dmitry S. Bilan
Miklouho-Maclay, 16/10, Moscow, 117997; [email protected]
Received: 26.12.2018 Accepted: 02.03.2019 Published online: 14.03.2019
DOI: 10.24075/brsmu.2019.013
ГЕНЕТИЧЕСКИ КОДИРУЕМЫЙ БИОСЕНСОР ROKATE ДЛЯ РЕГИСТРАЦИИ РЕДОКС-СОСТОЯНИЯ ПУЛА ГЛУТАТИОНА
А. Г. Шохина1, В. В. Белоусов1'2, Д. С. Билан1 ^
1 Институт биоорганической химии имени М. М. Шемякина и Ю. А. Овчинникова РАН, Москва, Россия
2 Научно-исследовательский институт трансляционной медицины,
Российский национальный исследовательский медицинский университет имени Н. И. Пирогова, Москва, Россия
Генетически кодируемые биосенсоры на основе флуоресцентных белков представляют собой инструмент исследования ряда биологических процессов в живых системах в режиме реального времени. За последние годы было создано целое семейство биосенсоров, позволяющих визуализировать в живых клетках изменения редокс-состояния пула глутатиона. Целью настоящей работы была разработка нового биосенсора для регистрации соотношения 2GSH/GSSG на основе красного флуоресцентного белка mKate2. Для этого методом направленного мутагенеза в структуру флуоресцентного белка вносили пару аминокислотных остатков цистеина, которые при окислении окружающего пула глутатиона формируют дисульфидную связь, что приводит к изменению спектральных характеристик. Полученный биосенсор был протестирован in vitro на выделенном препарате белка, в частности, были исследованы спектральные характеристики, рН-чувствительность белка, окислительно-восстановительный потенциал. Кроме того, биосенсор, названный roKate, был протестирован в культуре живых клеток млекопитающих. Он отличается высокой яркостью и повышенной стабильностью сигнала при изменениях рН в физиологическом диапазоне. От других представителей данного семейства биосенсоров roKate отличается необратимым изменением сигнала при окислении в клетках млекопитающих. Применение данного сенсора предпочтительно в экспериментах с наличием длительного промежутка времени между воздействием на биологическую систему и последующим анализом вызванного эффекта, например в условиях длительной пробоподготовки.
Ключевые слова: генетически кодируемый флуоресцентный биосенсор, глутатион, соотношение 2GSH/GSSG, roKate Финансирование: работа выполнена при поддержке гранта РФФИ мол_а_дк № 16-34-60175.
Информация о вкладе авторов: А. Г Шохина проводила экспериментальную работу; В. В. Белоусов и Д. С. Билан руководили исследованиями, писали текст статьи.
[><] Для корреспонденции: Дмитрий Сергеевич Билан
ул. Миклухо-Маклая, д. 16/10, г. Москва, 117997; [email protected]
Статья получена: 26.12.2018 Статья принята к печати: 02.03.2019 Опубликована онлайн: 14.03.2019 DOI: 10.24075/vrgmu.2019.013
Research into redox reactions is a burgeoning field of contemporary biomedicine. The ratio of reduced (GSH) to oxidized (GSSG) glutathione is an important characteristic of a cell's redox state. Essentially, glutathione is an abundant tripeptide (y-L-glutamyl-L-cysteinyl-glycine), whose intracellular concentrations can be as high as 10 mM [1]. The biological function of glutathione relies on the ability of its two reduced molecules (2GSH) to pass on a pair of electrons to an acceptor molecule. During this process, glutathione is oxidized to a
disulfide form that can be further converted back to GSH by glutathione reductase (GR) [2]. GSH plays a key role in the reduction of oxidative stress products, including lipid and hydrogen peroxides. Glutathione reduces reversible disulfide bonds that largely determine the structure and function of many cellular proteins [3]. Summing up, firstly, glutathione is a critical component of the thiol-disulfide exchange and secondly, it is involved in protein glutathionylation, playing a crucial role in intracellular redox signaling and protein folding.
Defects in the regulatory systems controlling the intracellular levels of glutathione or its redox homeostasis (the 2GSH/ GSSG ratio) can promote pathology. Impaired glutathione synthesis caused by mutations in the genes coding for the subunits of y- glutamyl-cysteine-synthase is linked to diabetes mellitus [4], asthma [5], schizophrenia [6], and other diseases. Deficient activity of glutathione reductase that maintains the GSH pool is associated with systemic lupus erythematosus [7] and some forms of favism [8]. By contrast, in cancer cells this enzyme is often hyperactive, causing an increase in GSH concentrations and strengthening the antioxidant defense of malignant cells [9]. Changes in the 2GSH/GSSG ratio that characterizes the redox state of the intracellular environment can indicate both pathological and normal physiological processes, such as differentiation [10, 11], proliferation [12], or apoptosis [13]. However, if these changes are massive and uncontrolled, they can cause a wide range of disorders, including neurodegenerative, immune, cardiovascular, etc. [14]. Among other functions of glutathione in the living organism is participation in the metabolism of xenobiotics that includes conjugation to GSH in the reaction catalyzed by glutathione transferases [15].
In a biological sample, GSH and GSSG can be measured by high-performance liquid chromatography (HPLC). Another approach to investigating the redox state of the glutathione pool involves the use of chemical dyes. Prior to staining with the classic Ellman's reagent [16], cells need to be lysed or tissue homogenate needs to be prepared. By contrast, synthetic dyes like ThiolQuant Green [17] and RealThiol [18] can be used in intact cells; however, they provide information about GSH concentrations only. At present, genetically encoded sensors based on redox-sensitive fluorescent proteins (roFP) have become very popular as tools for monitoring the dynamics of the GSH redox ratio. Such sensors rely on the oxidation of two surface cysteine residues incorporated into the structure of a fluorescent protein by site-directed mutagenesis. The oxidation degree of the redox-sensitive cysteine residues is determined by the surrounding glutathione pool. Being in close proximity to each other, the cysteine residues form a disulfide bond when oxidized in response to change in the GSH redox ratio. This leads to conformational rearrangements affecting the spectral characteristics of the fluorescent protein. Depending on the 2GSH/GSSG value, roFP can be either in reduced or oxidized forms distinguished by their spectra. Because such biosensors are protein-based, they can be expressed in a wide range of biological system, from individual cell organelles to transgenic organism tissue. The history of this biosensor family started with a yellow fluorescent protein [19]; green protein sensors appeared shortly afterwards [20, 21]. Today, we have an arsenal of diverse redox-sensitive sensors at our disposal that can be employed to monitor the 2GSH/GSSG dynamics in living systems in real time. They vary in their spectral characteristics, redox potential, reaction rate, and specificity [22].
The most convenient fluorescent sensors for in vivo experiments are those emitting in the far-red spectrum [23]; over this wavelength range, light absorption by water, hemoglobin, melanin and other tissue compounds is minimal. Besides, the green light used to excite a chromophore of a red protein is less toxic for cells in comparison with blue and violet used to induce fluorescence of green biosensors. The aim of this study was to create a new version of a redox biosensor based on the mKate2 red fluorescent protein. The sensor that we called roKate exhibits increased pH stability and brightness. The distinctive feature of the roKate biosensor is its irreversible response in mammalian cells upon oxidation, which
allows researchers to use it as a sensor that has an "oxidation memory" of glutathione pool oxidation.
METHODS
Genetic constructs
Point mutations were introduced into the structure of the red fluorescent protein mKate2. The sample for DNA amplification contained thermally stable Tersus polymerase in a buffer (Evrogen; Russia) and an equimolar mixture of dNTP (200 pM), primers (10 pM) and a DNA template (100 ng). The PCR protocol included 22 cycles of denaturation (95 °C, 30 s), annealing (60 °C, 45 s) and elongation (72 °C, 90 s).
Random mutagenesis was performed to improve the properties of the genetic constructs. The reaction mix contained thermally stable Taq polymerase in a buffer (Evrogen; Russia), primers (10 pM), dATP (200 pM), dTTP (200 pM), dCTP (200 pM), dGTP (360 pM), MnSO4 (640 pM), and a DNA template (20 pg). The PCR protocol included 27 cycles of denaturation (95 °C, 30 s), annealing (60 °C, 45 s) and elongation (72 °C, 105 s). The expected number of mutations was 4-5 per construct [24]. The obtained samples were cloned into plasmid vectors: pQe30 (to facilitate expression in bacterial cells) and pC1 (to facilitate expression in mammalian cells).
Bacterial cells
We used strain XL1-Blue of E. coli. The cells were cultured in an LB broth or in a solid medium in Petri dishes (1.5% LB agar). The medium contained 100 pkg/ml ampicillin (for pQe30) or 25 pkg/ml kanamycin (for pC1).
The US SZX12 fluorescence microscope (Olympus; Japan) was used to select the brightest fluorescent colonies that were subsequently transferred onto the solid substrate. Further measurements were carried out usingVarian Cary Eclipse fluorescence spectrophotometer (Agilent; USA). Briefly, the bacterial biomass was suspended in 1 ml of PBS and fluorescence emission and excitation spectra were recorded at Aex = 585 nm and Aem = 624 nm, respectively. To change the redox state of the cells, H2O2 was added to the suspension at the final concentrations of 100 pM — 2 mM. The data were processed in OriginPro 9.0 (OriginLab; USA).
The recombinant protein
XL1-Blue E. coli cells were transformed with the roKate pQe30 plasmid. The mKate2 protein expressed by the cells had a histidine tag (His-tag) at its C-terminus. The bacterial clones were cultured in LB broth containing 100 pkg/ml ampicillin for 16 h at room temperature under continuous stirring at 200 rpm. The obtained bacterial suspension was pelleted by centrifugation for 15 min at 2,000 g and 4 °C. Cell lysis was aided by the commercial B-PER™ Bacterial Protein Extraction Reagent (ThermoFisher; USA). Then, the samples were again centrifuged for 20 min at 18,000 g and 4 °C. The supernatant was applied to the chromatography column containing TALON purification resin (Clontech; USA) capable of binding to the His-tag. The protein was eluted from the column using a PBS solution (pH 7.0) containing 250 mM imidazole. To separate imidazole from the recombinant protein, the latter was run through a gel filtration column packed with Sephadex G-50 (GE Healthcare Life Sciences; UK). The sample was incubated in a PBS solution containing 20 mM dithiothreitol for 30 min to reduce disulfide bonds.
In vitro tests of the biosensor
An aliquot of the purified protein was added to 1 ml of PBS (pH 7.0) at a final concentration of 100 nM in a spectrophotometry cuvette. Fluorescence emission and excitation spectra were recorded by Varian Cary Eclipse (Agilent; USA) at Aex = 585 nm and Aem = 624 nm. GSSG or GSH were added to the sample at concentrations ranging between 50 pM and 2 mMl; the spectra were recorded subsequently.
The purified protein was titrated with glutathione solutions with the GSH/GSSG ratio varying from 10 : 0 to 0 : 10. Then, the following approach was applied to measure the redox potential of the tested biosensor. First, Y was calculated by the formula: Y = (F -F )/(F -F ), where F is fluorescence
v n min v max it' n
intensity in the sample with a known GSH/GSSG value; F is
min
fluorescence intensity in the sample containing 1 mM GSSG; F is fluorescence intensity in the sample containing 1 mM
max
GSH. Then, logY was plotted against log([GSSG]/[GSH]). A GSSG/2GSH ratio was determined at which the signal intensity changed by 50%; the obtained value was designated as A. The equilibrium constant K was calculated by the formula: logK =
^ eq 3 ^ eq
log(F /F ) - logA. The redox potential (E) was calculated
max min
by the formula: E = E0 - (RT/nF)JnK, where E0 is the redox potential of glutathione (-240 mV) at pH = 7.0; R is the gas constant (8.314 J/moUK); T is temperature (K); n is the number of electrons participating in the exchange; F is the Faraday constant (96, 490 J/mol/V).
For samples with a known GSH:GSSG ratio, the oxidation degrees (OxD) of the glutathione pool and roKate were calculated by the following formulas:
OxD = 2[GSH]/(2[GSSG] + [GSH]),
OxD
[GSH]/([GSSG](K + [GSH]/[GSSG])).
formula: QY = ((Em „, • Abs „,„
u roKate mKate2'
QY „,„, where Em „, and Em „,„
mKate2' roKate mKate2
The quantum yield of the biosensor was calculated by the
,)/(Em _ „ • Abs „, )) •
mKate2 roKate
are intensities of the fluorescent signals emitted by roKate and the reference mKate2 protein with the emission peak at A = 624 nm; AbsroKate and Abs „are absorbances of roKate and the reference mKate2
mKate2
protein at A = 590 nm; QYmKate2 is the quantum yield of mKate2 (a precalculated value, 0.4).
To determine the extinction coefficient (E), absorption spectra were recorded at A = 590 nm for native roKate and roKate denatured in 1 mM NaOH. Following the assumption that E of the denatured roKate chromophore equals E of mKate2 (62,500 M-1 • cm-1), we calculated the extinction coefficient for the native protein by the formula: E , = (Abs , • E. ,)/
r 3 ^native v native ^denat;
Abs .
denat
pKa of the biosensor was measured using a series of buffer solutions with a known pH ranging from 3.0 to 11.0 (at 0.5 increments). An aliquot of the protein was added to each of the solutions at a final concentration of 100 nM and the fluorescence excitation spectrum was recorded; then, the fluorescence intensity/pH curve was built.
Mammalian cell culture
In our experiment, we used the HeLa Kyoto cell line cultured in DMEM supplemented with 10% FBS, 2 mM glutamine, 1% of penicillin and streptomycin. The cells were grown at 37 °C in a 5% CO2 atmosphere.
Prior to transfection, the cells were plated and cultured in 35 mm glass-bottom microscopy dishes FluoroDishes (World Precision Instruments; USA). Plasmid DNA was mixed with the
FuGene HD transfection reagent (Promega; USA) following the manufacturer's protocol. After the transfection solution was added to the cell culture, the dishes were put in the incubator. Microscopy was performed on the following day.
Fluorescent microscopy
Microscopy was performed using the DMI 6000 B microscope (Leica; Germany) equipped with a 120W HXP mercury lamp (Osram; Germany) and a CoolSNAP HQ CCD-camera (Photometrics; USA). The TX2 filter (Excitation: BP560/40; Emission: BP645/75) was used to record fluorescence in the far-red spectrum. Prior to microscopy, the DMEM medium was replaced with a Hanks' balanced salt solution containing 15 mM Hepes. Microscopy was performed in 1 ml of the medium at 37 °C. One hundred pL of hydrogen peroxide brought to a final concentration of 750 pM was added to the cells in order to oxidize the intracellular glutathione pool. Dithiothreitol taken at a final concentration of 2 mM was used as a reductant. The images were analyzed in Leica Application Suite Advanced Fluorescence software (Leica; Germany). Final image processing was done in ImageJ (EMBL; Germany) and OriginPro 9.0 (OriginLab; USA).
RESULTS
Genetic constructs
The red fluorescent protein mKate2 is a monomer that produces very bright fluorescence and is stable under physiological pH conditions [23]. So, we selected this protein to design a redox biosensor capable of reporting shifts in the 2GSH/GSSG ratio. A pair of cysteine (Cys) residues was introduced into the protein structure by site-directed mutagenesis in such way that they could form a disulfide bond when oxidized. In total, 10 protein variants were obtained differing in the positions of Cys insertions: 142/198, 142/196, 141/161, 144/196, 141/198, 141/161, 141/196, 107/118, 140/214, and 200/214. It is known that it takes quite a time for the equilibrium between the redox-active cysteine residues of previously designed rxYFP and roGFP biosensors and the glutathione pool to settle. However, if glutaredoxin (Grx) concentrations are increased in the vicinity of these proteins, the reaction accelerates. Therefore, rxYFP and roGFP were fused to human Grx1 at the gene level via a polypeptide linker [25, 26] to speed up the reaction. All mKate2-based constructs contained human Grx1 attached by a linker (Gly-Gly-Ser-Gly-Gly)6 to their N-terminus. Fig. 1A is a schematic representation of how the obtained biosensor is expected to function.
roKate expression in bacterial cells
The obtained genetic constructs were expressed in XL1 Blue E. coli bacterial cells. Twenty-four hours later, fluorescence intensity was measured in the grown colonies. To assess the functional activity of each fluorescent biosensor variant, we recorded changes in the fluorescence excitation spectra before and after H202 (the final concentration of 1 mM) was added to the bacterial suspension. H202 is a powerful oxidant that significantly affects the redox state of the intracellular environment if taken in excess. It also leads to the increased production of GSSG. Grx1-mKate2 was used as a negative control. This protein does not contain redox-active Cys in the chromophore environment of the fluorescent protein and, therefore, does not respond to oxidation by changing
its spectral properties. After the measurements, two proteins with Cys at positions 141/198 and 141/196 were selected for further experiments. Other mutants either lacked fluorescent properties or were insensitive to oxidation.
Fluorescence intensity of the selected mutants declined by less than 10% in response to oxidation with H202. Random mutagenesis was performed to improve the properties of the proteins. This method produces a fixed number of random mutations in a targeted gene and can be used to obtain thousands of variants of the same protein that differ in only a few amino acid substitutions. Since even a single mutation can significantly affect the properties of a protein, further screening should be performed to identify the optimal mutants. After running a few cycles of random mutagenesis, we selected the brightest clones that were further tested under the conditions of oxidative stress. Finally, we opted for a mutant that contained redox-active Cys141 and Cys198 and additional mutations Lys12Glu and Asn21Asp in the structure of the fluorescent protein. This mutant protein was named roKate. It responded to oxidation by at least a 40% drop in fluorescence intensity.
А
Measuring roKate characteristics in vitro
The roKate protein was purified for further in-depth analysis. This protein has one fluorescence excitation peak at 585 nm and one emission peak at 624 nm (Fig. 1B). Because during the initial screening H202 concentrations were high, the first thing to test was whether H202 could directly oxidize the redox-active Cys residues of the protein. H202 at a final concentration of 1 mM was added to the protein sample (100 nM), causing no changes to the excitation spectra of the sample (Fig. 1C). However, fluorescence intensity dropped by 40% when 1 mM of GSH was added to the sample before 1 mM of H202 was added, which can be explained by GSH oxidation (Fig. 1D). The same fluorescence pattern was observed when pre-oxidized GSSG (1 mM) was added to the protein sample (Fig. 1E). That reaction was reversible in vitro. If glutathione reductase (GR) and NADPH were introduced into the same sample, fluorescence intensity went back to its initial value (Fig. 1E). Thus, changes in the signal intensity were mediated by the changes in the glutathione redox state.
B
600
500-
. 400-
■f 300
- 200
100
C
585 nm
624 nm
700 600 500 400
300 - 200
100 -
500
550
600
Wavelength (nm)
650
700
■ roKate - + 1mM H2O2
500 520 540 560 580 Wavelength (nm)
600
D
700
600
) 500
J
elr 400
>.
in n 300
te
с 200
100-
0
roKate 1mM GSH
1mM GSH + 1mM H2O2
500
520
540
560
580
600
600 500 400
elr
■f? 300
w
n e
с 200 100 -500
■ roKate
■ + 1mM GSSG (oxidation)
■ + GR and NADPH (reduction)
Wavelength (nm)
520 540 560 580 600 Wavelength (nm)
Fig. 1. А. A schematic representation of roKate's functioning. Two closely positioned cysteine amino acid residues were incorporated into the protein's structure. When oxidized, the residues form a disulfide bond in the presence of human glutaredoxin 1 (Grx1). Oxidation is accompanied by a drop in fluorescence intensity. B. The fluorescence emission and excitation spectra of the biosensor. C. Changes in the fluorescence excitation spectra in response to the presence of hydrogen peroxide and the subsequent addition of GSH. D. Changes in the fluorescence excitation spectra in response to the presence of GSH and the subsequent addition of hydrogen peroxide. E. Changes in the fluorescence excitation spectra in the isolated protein sample accompanying oxidation (the addition of GSSG) and subsequent reduction (enzymatic reaction of glutathione reduction in the presence of GR and NADPH)
0
E
А
+ 750 |JM H2O2
roKate B
roKate 6e3 Grx1 roKate 6e3 aKTMBHbix Cys
4 6 8 Time (min)
12
0 min 'I 1 min 2 min
3 min 4 min 5 min
$ f 0
« w m
, 4
6 min 0 4 m 7 min L • m 8 min 0 *€ » % >
Max
Min
Fig. 3. The roKate biosensor in HeLa Kyoto cells. ^ Fluorescence intensity dynamics of roKate (the black curve), its variant without Grx1 (the blue curve) and its variant without redox-active cysteine residues (the red curve) in the cytoplasm of living HeLa Kyoto cells in response to the addition of hydrogen peroxide to the medium (the moment hydrogen peroxide was added is marked by an arrow). Error bars show the standard deviation from the mean. B. Images of HeLa Kyoto cells expressing the roKate biosensor before and after the addition of hydrogen peroxide (the time on the images corresponds to that on the graph). The images are shown in pseudo colors corresponding to signal intensity. Scale: 40 pm
The purified roKate protein was titrated with solutions with different GSH /GSSG ratios ranging from 10 : 0 to 0 : 10. This was necessary to evaluate roKate's redox potential. Fig. 2A shows the relationship between roKate and glutathione oxidation degrees. The redox potential of the biosensorwas -245 mV.
The pH sensitivity of the protein was tested using a standard series of buffer solutions with a known pH. The chromophore of fluorescent proteins can exist in a protonated or deprotonated state due to the presence of an amino acid tyrosine residue in its structure. Therefore, the intensity of the fluorescent signal depends on pH. In an experimental system, it is important to keep in mind that the amplitude of changes that the fluorescent signal undergoes under different pH conditions varying in the physiological range (6.0-8.0). We found that pKa of the roKate biosensor was 6.5. As pH went up from 6.0 to 8.0, fluorescence increased threefold (Fig. 2B).
We also calculated the extinction coefficient and the quantum yield of roKate. They were 36,400 M-1 cm-1 and 0.3, respectively.
roKate expression in eukaryotic cells
The roKate gene was cloned into the pC1 vector for further expression in mammalian cells. For the human HeLa Kyoto cell line, the maximum amplitude of the response was 55% under the conditions of oxidative stress caused by H202 (the highest concentration was 750 pM) (Fig. 3A and B). H202 was added to the cell culture repeatedly to identify the maximum change in the signal intensity during oxidation. Normally, the cells do not require any extra reductants to reduce biosensors similar
to roKate. However, roKate was not reduced in the cytoplasm of HeLa Kyoto cells even when the cells were incubated with different reductants, including dithiothreitol, p- mercaptoethanol, and tris(2-carboxyethyl) phosphine). The construct bearing no Grx1 at the N-terminus was inferior to the full-sized biosensor in terms of the reaction rate (Fig. 2A). This means that Grx1 has a key role in supporting the equilibrium between the intracellular glutathione pool and the redox-active cysteine residues of the sensor. The mutant without mKate2 cysteine residues did not change its fluorescence in the eukaryotic system.
In mammalian cells, roKate is oxidized irreversibly, meaning that the sensor can only report the oxidation dynamics of the glutathione pool and is unable to sense its reverse reduction.
DISCUSSION
We have developed a genetically encoded biosensor based on the red fluorescent protein mKate2. The biosensor is capable of reporting the redox state of the glutathione pool. The properties and design of roKate differ from those of a previously proposed rxRFP sensor [27] that was based on a circular permutated red fluorescent cpmApple protein. Circular permutants of fluorescent proteins are obtained by connecting (at the gene level) the "native" N- and C-termini to each other by a polypeptide linker sequence; the new N- and C-termini are formed in close proximity to a chromophore. The structure of a circular permutantis more conformationally flexible, affecting its spectral characteristics. In rxRFP, redox-active cysteine residues are located at the N- and C-termini of the circular permutant, but the protein is not fused to Grx [27], i. e.
endogenous Grx is needed to support the equilibrium between the redox state of the surrounding glutathione pool and the protein. Besides, chromophores of circular permutants are more susceptible to the environment in comparison with native proteins. This explains why the rxRFP biosensor is sensitive to physiological fluctuations of pH.
Another member of the red fluorescent protein-based biosensor family specialized in monitoring the 2GSH/GSSG ratio is called Grx1-roCherry. It has a classic structure composed of a mCherry protein containing a pair of redox-active cysteines and Grx1 fused to the protein by a polypeptide linker sequence. Its redox potential (-311 mV) is different from roKate's; it also differs from our biosensor in the ability to be reversibly reduced in mammalian cells [28].
Red fluorescent proteins are more convenient when it comes to in vivo experiments in living systems. They can be used in parallel with green sensors for multiparameter microscopy. This approach yields a wealth of valuable information since it allows researchers to monitor the behavior of several parameters within one biological system or one parameter in different cell compartments [29].
The reason why the oxidized roKate sensor does not get reduced in mammalian cells is unknown. But the protein
can be used as a "memory sensor" that reports the moment of oxidation in living cells or tissue. This could be convenient when the time between the manipulations with the biological object and fluorescence measurements is quite substantial, as is the case with long sample preparation. The time required for sample preparation can be sufficient for the cells to restore their glutathione pool, thereby skewing the results of the experiment. In mammalian cells, roKate gets irreversibly oxidized allowing us to detect glutathione oxidation. Besides, the biosensor can be used to monitor the oxidation dynamics of the intracellular glutathione pool in real time.
CONCLUSIONS
We have designed a new genetically encoded red-protein based biosensor, which we called roKate, capable of reporting the redox state of the glutathione pool. The biosensor can be used to study redox reactions related to the fluctuations in the 2GSH/GSSG ratio in bacterial cells. In mammalian cells, roKate gets irreversibly oxidized and therefore can be employed as a "memory sensor" reporting the oxidation dynamics of the glutathione pool.
References
1. Lushchak VI. Glutathione homeostasis and functions: potential targets for medical interventions. J Amino Acids. 2012; 2012: 736837.
2. Couto N, Wood J, Barber J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free Radic Biol Med. 2016; (95): 27-42.
3. Nagy P. Kinetics and mechanisms of thiol-disulfide exchange covering direct substitution and thiol oxidation-mediated pathways. Antioxid Redox Signal. 2013; 18 (13): 1623-41.
4. Bekris LM, Shephard C, Janer M, Graham J, McNeney B, Shin J, Zarghami M, Griffith W, Farin F, Kavanagh TJ, Lernmark A. Glutamate cysteine ligase catalytic subunit promoter polymorphisms and associations with type 1 diabetes age-at-onset and GAD65 autoantibody levels. Exp Clin Endocrinol Diabetes. 2007; 115 (4): 221-28.
5. Polonikov AV Ivanov VP, Solodilova MA, Khoroshaya V Kozhuhov MA, Panfilov VI. The relationship between polymorphisms in the glutamate cysteine ligase gene and asthma susceptibility. Respir Med. 2007; 101 (11): 2422-4.
6. Tosic M, Ott J, Barral S, Bovet P Deppen P Gheorghita F, Matthey ML, Parnas J, Preisig M, Saraga M, Solida A, Timm S, Wang AG, Werge T, Cuenod M, Do KQ. Schizophrenia and oxidative stress: glutamate cysteine ligase modifier as a susceptibility gene. Am J Hum Genet. 2006; 79 (3): 586-92.
7. Ramos PS, Oates JC, Kamen DL, Williams AH, Gaffney PM, Kelly JA, et al. Variable association of reactive intermediate genes with systemic lupus erythematosus in populations with different African ancestry. J Rheumatol. 2013; 40 (6): 842-9.
8. Kamerbeek NM, van Zwieten R, de Boer M, Morren G, Vuil H, Bannink N, et al. Molecular basis of glutathione reductase deficiency in human blood cells. Blood. 2007; 109 (8): 3560-6.
9. Backos DS, Franklin CC, Reigan P. The role of glutathione in brain tumor drug resistance. Biochem Pharmacol. 2012; 83 (8): 1005-12.
10. Huh YJ, Kim JM, Kim H, Song H, So H, Lee SY, et al. Regulation of osteoclast differentiation by the redox-dependent modulation of nuclear import of transcription factors. Cell Death Differ. 2006; 13 (7): 1138-46.
11. Kim JM, Kim H, Kwon SB, Lee SY, Chung SC, Jeong DW, et al. Intracellular glutathione status regulates mouse bone marrow monocyte-derived macrophage differentiation and phagocytic activity. Biochem Biophys Res Commun. 2004; 325 (1): 101-8.
12. Suthanthiran M, Anderson ME, Sharma VK, Meister A. Glutathione regulates activation-dependent DNA synthesis in highly purified normal human T lymphocytes stimulated via the CD2 and CD3 antigens. Proc Natl Acad Sci USA. 1990; 87 (9): 3343-7.
13. Garcia-Ruiz C, Fernandez-Checa JC. Redox regulation of hepatocyte apoptosis. J Gastroenterol Hepatol. 2007; (22 Suppl 1): 38-42.
14. Ballatori N, Krance SM, Notenboom S, Shi S, Tieu K, Hammond CL. Glutathione dysregulation and the etiology and progression of human diseases. Biol Chem. 2009; 390 (3): 191-214.
15. Armstrong RN. Glutathione S-transferases: reaction mechanism, structure, and function. Chem Res Toxicol. 1991; 4 (2): 131-40.
16. Sedlak J, Lindsay RH. Estimation of total, protein-bound, and nonprotein sulfhydryl groups in tissue with Ellman's reagent. Anal Biochem. 1968; 25 (1): 192-205.
17. Jiang X, Yu Y, Chen J, Zhao M, Chen H, Song X, et al. Quantitative imaging of glutathione in live cells using a reversible reaction-based ratiometric fluorescent probe. ACS Chem Biol. 2015; 10 (3): 864-74.
18. Jiang X, Chen J, Bajic A, Zhang C, Song X, Carroll SL, et al. Quantitative real-time imaging of glutathione. Nat Commun. 2017; (8): 16087.
19. Ostergaard H, Henriksen A, Hansen FG, Winther JR. Shedding light on disulfide bond formation: engineering a redox switch in green fluorescent protein. EMBO J. 2001; 20 (21): 5853-62.
20. Hanson GT, Aggeler R, Oglesbee D, Cannon M, Capaldi RA, Tsien RY, et al. Investigating mitochondrial redox potential with redox -sensitive green fluorescent protein indicators. J Biol Chem. 2004; 279 (13): 13044-53.
21. Dooley CT, Dore TM, Hanson GT, Jackson WC, Remington SJ, Tsien RY. Imaging dynamic redox changes in mammalian cells with green fluorescent protein indicators. J Biol Chem. 2004; 279 (21): 22284-93.
22. Schwarzlander M, Dick TP, Meyer AJ, Morgan B. Dissecting Redox Biology Using Fluorescent Protein Sensors. Antioxid Redox Signal. 2016; 24 (13): 680-712.
23. Shcherbo D, Murphy CS, Ermakova GV, Solovieva EA, Chepurnykh TV, Shcheglov AS, et al. Far-red fluorescent tags for protein imaging in living tissues. Biochem J. 2009; 418 (3): 567-74.
24. Available from: www.clontech.com, протокол № PT3393-1.
25. Bjornberg O, Ostergaard H, Winther JR. Mechanistic insight provided by glutaredoxin within a fusion to redox-sensitive yellow
fluorescent protein. Biochemistry. 2006; 45 (7): 2362-71. 28.
26. Gutscher M, Pauleau AL, Marty L, Brach T, Wabnitz GH, Samstag Y, et al. Real-time imaging of the intracellular glutathione redox potential. Nat Methods. 2008; 5 (6): 553-9. 29.
27. Fan Y, Chen Z, Ai HW. Monitoring redox dynamics in living cells with a redox-sensitive red fluorescent protein. Anal Chem. 2015; 87 (5): 2802-10.
Shokhina AG, Kostyuk AI, Ermakova YG, Panova AS, Staroverov DB, Egorov ES, et al. Red fluorescent redox-sensitive biosensor Grx1-roCherry. Redox Biol. 2019; (21): 101071. Kostyuk AI, Panova AS, Bilan DS, Belousov VV. Redox biosensors in a context of multiparameter imaging. Free Radic Biol Med. 2018; (128): 23-39.
Литература
1. Lushchak VI. Glutathione homeostasis and functions: potential targets for medical interventions. J Amino Acids. 2012; 2012: 736837. 15.
2. Couto N, Wood J, Barber J. The role of glutathione reductase and related enzymes on cellular redox homoeostasis network. Free 16. Radic Biol Med. 2016; (95): 27-42.
3. Nagy P. Kinetics and mechanisms of thiol-disulfide exchange covering direct substitution and thiol oxidation-mediated 17. pathways. Antioxid Redox Signal. 2013; 18 (13): 1623-41.
4. Bekris LM, Shephard C, Janer M, Graham J, McNeney B, Shin J, Zarghami M, Griffith W, Farin F, Kavanagh TJ, Lernmark A. Glutamate cysteine ligase catalytic subunit promoter polymorphisms 18. and associations with type 1 diabetes age-at-onset and GAD65 autoantibody levels. Exp Clin Endocrinol Diabetes. 2007; 115 (4): 221-28. 19.
5. Polonikov AV, Ivanov VP, Solodilova MA, Khoroshaya IV, Kozhuhov MA, Panfilov VI. The relationship between polymorphisms in the glutamate cysteine ligase gene and asthma susceptibility. Respir 20. Med. 2007; 101 (11): 2422-4.
6. Tosic M, Ott J, Barral S, Bovet P Deppen P Gheorghita F, Matthey ML, Parnas J, Preisig M, Saraga M, Solida A, Timm S, Wang AG, Werge T, Cuenod M, Do KQ. Schizophrenia and oxidative stress: 21. glutamate cysteine ligase modifier as a susceptibility gene. Am J
Hum Genet. 2006; 79 (3): 586-92.
7. Ramos PS, Oates JC, Kamen DL, Williams AH, Gaffney PM, Kelly
JA, et al. Variable association of reactive intermediate genes 22. with systemic lupus erythematosus in populations with different African ancestry. J Rheumatol. 2013; 40 (6): 842-9.
8. Kamerbeek NM, van Zwieten R, de Boer M, Morren G, Vuil H, 23. Bannink N, et al. Molecular basis of glutathione reductase deficiency in human blood cells. Blood. 2007; 109 (8): 3560-6.
9. Backos DS, Franklin CC, Reigan P. The role of glutathione in brain 24. tumor drug resistance. Biochem Pharmacol. 2012; 83 (8): 1005-12. 25.
10. Huh YJ, Kim JM, Kim H, Song H, So H, Lee SY, et al. Regulation of osteoclast differentiation by the redox-dependent modulation
of nuclear import of transcription factors. Cell Death Differ. 2006; 26. 13 (7): 1138-46.
11. Kim JM, Kim H, Kwon SB, Lee SY, Chung SC, Jeong DW, et al. Intracellular glutathione status regulates mouse bone marrow 27. monocyte-derived macrophage differentiation and phagocytic activity. Biochem Biophys Res Commun. 2004; 325 (1): 101-8.
12. Suthanthiran M, Anderson ME, Sharma VK, Meister A. Glutathione 28. regulates activation-dependent DNA synthesis in highly purified normal human T lymphocytes stimulated via the CD2 and CD3 antigens. Proc Natl Acad Sci USA. 1990; 87 (9): 3343-7. 29.
13. Garcia-Ruiz C, Fernandez-Checa JC. Redox regulation of hepatocyte apoptosis. J Gastroenterol Hepatol. 2007; (22 Suppl 1): 38-42.
14. Ballatori N, Krance SM, Notenboom S, Shi S, Tieu K, Hammond CL.
Glutathione dysregulation and the etiology and progression of human diseases. Biol Chem. 2009; 390 (3): 191-214. Armstrong RN. Glutathione S-transferases: reaction mechanism, structure, and function. Chem Res Toxicol. 1991; 4 (2): 131-40. Sedlak J, Lindsay RH. Estimation of total, protein-bound, and nonprotein sulfhydryl groups in tissue with Ellman's reagent. Anal Biochem. 1968; 25 (1): 192-205.
Jiang X, Yu Y, Chen J, Zhao M, Chen H, Song X, et al. Quantitative imaging of glutathione in live cells using a reversible reaction-based ratiometric fluorescent probe. ACS Chem Biol. 2015; 10 (3): 864-74.
Jiang X, Chen J, Bajic A, Zhang C, Song X, Carroll SL, et al. Quantitative real-time imaging of glutathione. Nat Commun. 2017; (8): 16087.
Ostergaard H, Henriksen A, Hansen FG, Winther JR. Shedding light on disulfide bond formation: engineering a redox switch in green fluorescent protein. EMBO J. 2001; 20 (21): 5853-62. Hanson GT, Aggeler R, Oglesbee D, Cannon M, Capaldi RA, Tsien RY, et al. Investigating mitochondrial redox potential with redox-sensitive green fluorescent protein indicators. J Biol Chem. 2004; 279 (13): 13044-53.
Dooley CT, Dore TM, Hanson GT, Jackson WC, Remington SJ, Tsien RY. Imaging dynamic redox changes in mammalian cells with green fluorescent protein indicators. J Biol Chem. 2004; 279 (21): 22284-93.
Schwarzlander M, Dick TP, Meyer AJ, Morgan B. Dissecting Redox Biology Using Fluorescent Protein Sensors. Antioxid Redox Signal. 2016; 24 (13): 680-712.
Shcherbo D, Murphy CS, Ermakova GV, Solovieva EA, Chepurnykh TV, Shcheglov AS, et al. Far-red fluorescent tags for protein imaging in living tissues. Biochem J. 2009; 418 (3): 567-74. Доступно по ссылке: www.clontech.com, протокол № PT3393-1. Bjornberg O, Ostergaard H, Winther JR. Mechanistic insight provided by glutaredoxin within a fusion to redox-sensitive yellow fluorescent protein. Biochemistry. 2006; 45 (7): 2362-71. Gutscher M, Pauleau AL, Marty L, Brach T, Wabnitz GH, Samstag Y, et al. Real-time imaging of the intracellular glutathione redox potential. Nat Methods. 2008; 5 (6): 553-9. Fan Y, Chen Z, Ai HW. Monitoring redox dynamics in living cells with a redox-sensitive red fluorescent protein. Anal Chem. 2015; 87 (5): 2802-10.
Shokhina AG, Kostyuk AI, Ermakova YG, Panova AS, Staroverov DB, Egorov ES, et al. Red fluorescent redox-sensitive biosensor Grx1-roCherry. Redox Biol. 2019; (21): 101071. Kostyuk AI, Panova AS, Bilan DS, Belousov VV. Redox biosensors in a context of multiparameter imaging. Free Radic Biol Med. 2018; (128): 23-39.
