Assessment of Cellular Oxidation using a Subcellular Compartment-Specific Redox-Sensitive Green Fluorescent Protein

Alev Tascioglu Aliyev; Francesca LoBianco; Kimberly  J. Krager; Nukhet Aykin-Burns

doi:10.3791/61229

JoVE Journal > Biochemistry

生物化学

Assessment of Cellular Oxidation using a Subcellular Compartment-Specific Redox-Sensitive Green Fluorescent Protein

Published: June 18, 2020

doi:

10.3791/61229

Alev Tascioglu Aliyev^1,2, Francesca LoBianco¹, Kimberly J. Krager¹, Nukhet Aykin-Burns¹

¹Division of Radiation Health, Pharmaceutical Sciences,University of Arkansas for Medical Sciences, ²Department of Pharmaceutical Toxicology, Faculty of Pharmacy,Ege University

Summary

This protocol describes the assessment of subcellular compartment-specific redox status within the cell. A redox-sensitive fluorescent probe allows convenient ratiometric analysis in intact cells.

Abstract

Measuring the intracellular oxidation/reduction balance provides an overview of the physiological and/or pathophysiological redox status of an organism. Thiols are especially important for illuminating the redox status of cells via their reduced dithiol and oxidized disulfide ratios. Engineered cysteine-containing fluorescent proteins open a new era for redox-sensitive biosensors. One of them, redox-sensitive green fluorescent protein (roGFP), can easily be introduced into cells with adenoviral transduction, allowing the redox status of subcellular compartments to be evaluated without disrupting cellular processes. Reduced cysteines and oxidized cystines of roGFP have excitation maxima at 488 nm and 405 nm, respectively, with emission at 525 nm. Assessing the ratios of these reduced and oxidized forms allows the convenient calculation of redox balance within the cell. In this method article, immortalized human triple-negative breast cancer cells (MDA-MB-231) were used to assess redox status within the living cell. The protocol steps include MDA-MB-231 cell line transduction with adenovirus to express cytosolic roGFP, treatment with H₂O₂, and assessment of cysteine and cystine ratio with both flow cytometry and fluorescence microscopy.

Introduction

Oxidative stress was defined in 1985 by Helmut Sies as “a disturbance in prooxidant–antioxidant balance in favor of the former”¹, and a plethora of research has been conducted to obtain disease-, nutrition-, and aging-specific redox status of organisms¹^,²^,³. Since then, the understanding of oxidative stress has become broader. Testing the hypotheses of using antioxidants against diseases and/or aging has shown that oxidative stress not only causes harm but also has other roles in cells. Furthermore, scientists have shown that free radicals play an important role for signal transduction². All of these studies strengthen the importance of determining the changes in reduction-oxidation (redox) ratio of macromolecules. Enzyme activity, antioxidants and/or oxidants, and oxidation products can be assessed with various methods. Among these, methods that determine thiol oxidation are arguably the most used because they report on the balance between antioxidants and prooxidants in cells, as well as organisms⁴. Specifically, ratios between glutathione (GSH)/glutathione disulfide (GSSG) and/or cysteine (CyS)/cystine (CySS) are used as biomarkers for monitoring the redox status of organisms².

Methods used for assaying the balance between prooxidants and antioxidants rely mainly on the levels of reduced/oxidized proteins or small molecules within cells. Western blots and mass spectrometry are used to broadly assess the ratios of reduced/oxidized macromolecules (protein, lipids etc.), and GSH/GSSG ratios can be assessed with spectrophotometry⁵. A common feature of these methods is the physical perturbation of the system by cell lysis and/or tissue homogenization. These analyses also become challenging when it is necessary to measure the oxidation status of different cellular compartments. All of these perturbations cause artifacts in the assay environment.

Redox-sensitive fluorescent proteins opened an advantageous era for evaluating the redox balance without causing a disturbance in the cells⁶. They can target different intracellular compartments, allowing the quantification of compartment-specific activities (e.g., assaying the redox state of mitochondria and the cytosol) to investigate crosstalk between cellular organelles. Yellow fluorescent protein (YFP), green fluorescent protein (GFP), and HyPeR proteins are reviewed by Meyer and colleagues⁶. Among these proteins, redox-sensitive GFP (roGFP) is unique due to different fluorescent readouts of its CyS (ex. 488 nm/em. 525 nm) and CySS (ex. 405 nm/525 nm) residues, which permits ratiometric analysis, unlike other redox-sensitive proteins such as YFP⁷^,⁸. Ratiometric output is valuable because it counterbalances the differences between expression levels, detection sensitivities, and photobleaching⁸. Subcellular compartments of cells (cytosol, mitochondria, nucleus) or different organisms (bacteria as well as mammalian cells) can be targeted by modifying roGFP⁷^,⁹^,¹⁰.

roGFP assays are conducted using fluorescent imaging techniques, especially for real-time visualization experiments. Flow cytometric analyses of roGFPs are also possible for experiments with predetermined time points. The current article describes both the use of fluorescent microscopy and flow cytometry to perform a ratiometric assessment of redox status in mammalian cells overexpressing roGFP (targeted to cytosol) via adenoviral transduction.

Protocol

NOTE: This protocol was optimized for 70%–80% confluent MDA-MB-231 cells. For other cell lines, the number of cells and multiplicity of infection (MOI) should be reoptimized.

1. Preparation of cells (day 1)

Maintain MDA-MB-231 cell line in 75 cm² flasks with 10 mL of Dulbecco’s modified Eagle medium (DMEM) supplemented with 10% fetal bovine serum (FBS) at 37 °C in a 5% CO₂ humidified atmosphere.
NOTE: DMEM supplemented with 10% FBS, 37 °C, and a 5% CO₂ humidified atmosphere are used for all attachment and treatment incubations throughout the entire protocol.
Prepare the MDA-MB-231 cells for experiment.
1. Aspirate the medium within the flask, detach the cells with 2 mL of 0.25% trypsin-EDTA solution for 2 min, and inactivate the trypsin activity with 6 mL of complete medium (DMEM with 10% FBS). Centrifuge the cells at 150 x g for 5 min. Aspirate the supernatant and suspend the cells in 5 mL of complete medium.
2. Mix an equal volume cell suspension and 0.4% trypan blue. Take 10 µL of this mixture and count the cells with the automated cell counter.
  NOTE: A Coulter counter or a hemocytometer can also be used for cell counting.
3. Seed the cells into a 6 well plate for flow cytometry analyses and seed 150,000 cells in 1 mL of medium per well. Wait 16 h for cell attachment.
4. Seed the cells into a 4 well chamber slide for fluorescent imaging and seed 25,000 cells in 0.5 mL of medium per well. Wait 16 h for cell attachment.
  NOTE: Seed control wells in addition to treatment wells. Use one of the control wells to determine cell number (optional: if the attachment period for the cells is shorter than the doubling time, cell number can be assumed to be the same as the seeding density) and the other for a noninfected control (0 MOI).

2. Adenoviral roGFP transduction (day 2 and 3)

CAUTION: Adenoviruses can cause diseases. While transducing the cells, use filtered tips and decontaminate tips, Pasteur pipettes, and microcentrifuge tubes with 10% bleach.

NOTE: This protocol was demonstrated with cytosol-specific roGFP, but other cellular compartments (e.g., mitochondria or mitochondrial intermembrane space) can be targeted with this same protocol.

Generate a dose-response curve for the MOI to obtain the highest transduction efficiency by calculating the volume of adenovirus (mL) required for each MOI value for MDA-MB-231 cell line (Table 1):

NOTE: Functional titer of each batch of adenoviral stock, which is expressed as plaque forming unit (PFU) per mL, is provided by the company. The optimum MOI for transduction differs between cell types. For most mammalian cells, the optimum MOI range is between 10 and 300. According to the cellular response, MOI values should be recalculated (e.g., MOI range should be reduced if cells have cytotoxic response, or range should be increased if cells have low transduction efficiency).
Make 1:100 dilution of 6 x 10¹⁰ PFU/mL adenoviral roGFP solution with cell culture medium (DMEM with 10% FBS) for reliable pipetting.
Pipette and add 0.0125 mL (12.5 µL), 0.025 mL (25 µL), 0.05 mL (50 µL) of adenoviral roGFP dilution into each well of the 6 well plate in order to transduce the 150,000 cells with 50, 100, and 200 MOI respectively for flow cytometry analysis (Table 1).
Pipette and add 0.0042 mL (4.2 µL) of adenoviral roGFP dilution in the 4-chamber slide wells to transduce 25,000 cells with 100 MOI for fluorescence imaging (Table 1).
NOTE: A minimal amount of medium should be used in the wells to ensure the highest interaction between the adenoviral roGFP construct and cells. The serum content of the culture medium may need to be decreased for different cell lines because high levels of serum can negatively affect transduction efficiency in some cell types.
Incubate cells for 16–24 h under the cell maintenance conditions. The next day (day 3), change the medium to cell culture medium (DMEM with 10% FBS) to allow cell recovery for an additional 24 h. Visualize cells under a microscope to assess their morphology; cells can express roGFP even if they have morphological changes.
NOTE: On day 3, cells should start to express roGFP; therefore, transduction efficiency can be monitored using fluorescence microscopy (filters with ex. 488/em. 525). To obtain consistent assay results, be aware of and document the morphological changes under the phase contrast microscope and observe morphology while evaluating transduction efficiency.
Construct a dose response curve using the 50, 100 and 200 MOI samples prepared in step 2.3 and their transduction efficiency results obtained from flow cytometry analysis (steps 3.1 and 4.1). Assess optimal transduction efficiency with documentation of morphological changes (step 2.5) and the dose-response curve of MOI.
NOTE: Although more than 98% of the cell population at 100 MOI and 200 MOI express roGFP (see representative results), 200 MOI group showed substantial changes in cell morphology of MDA-MB-231 cells. Consequently, the most efficacious MOI for MDA-MB-231 cells was determined to be 100 MOI.
After optimal MOI (here, 100 MOI) was chosen for MDA-MB-231 cell line, conduct experiment with test materials (10 µM H₂O₂ and its vehicle 0.1% deionized water).
1. Prepare and seed the cells according to section 1. Using the adenoviral transduction volume for 100 MOI calculated in step 2.1, repeat steps 2.2−2.4 for 100 MOI adenoviral transduction of cells. Then incubate the plate and chamber slides according to step 2.5.

3. Acquisition of CyS/CySS balance

Flow cytometry (day 4)
1. On day 4, incubate cells from step 2.7.1 with 10 µM H₂O₂ for 1 h.
  NOTE: 10 µM H₂O₂ was used as the test substance and 0.1% deionized water was used as vehicle treatment in this protocol. Other oxidizing agents can be used as positive controls here.
2. Aspirate media from the 6 well plate, replace with 750 µL of 0.25% trypsin-EDTA solution and wait for 2 min for cells to detach. Inactivate trypsin with 2 mL of complete medium (DMEM with 10% FBS) and collect the volume into 15 mL conical tubes.
3. Centrifuge the tubes at 150 x g for 5 min at 4ºC. Discard supernatant and suspend the cells in 500 µL of phosphate-buffered saline (PBS).
4. Repeat step 3.1.3
5. Filter the cell suspensions into flow cytometry-compatible tubes using 40 µm mesh. Keep the tubes on ice and away from the light and follow step 4.1 for data analysis.
Microscopic imaging (day 4)
1. On day 4, treat cells with 10 µM H₂O₂, acquire images immediately (time point 0) and 1 h after treatment and follow step 4.2 for data analysis.

4. Data analysis

Flow cytometry quantification
1. Set flow cytometry method for 3 different analyses via sample aquisition software (see Table of Materials): forward scatter (FCS) on x-axis and side scatter (SSC) on y-axis to assess cell size and complexity of cells (SSC can be used for rough identification of dead and live cells); ex. 488 nm/em. 525 nm (fluorescein isothiocyanate [FITC]) bandpass filter on x-axis and SSC on y-axis to assess CyS-roGFP; ex. 405 nm/em. 525 nm (Brilliant Violet 510 [BV510]) bandpass filter on x-axis and SSC on y-axis to assess CySS-roGFP.
2. Acquire 0 MOI control and visualize cells with sample acquisition software. Repeat this step for remaining samples (50, 100, 200 MOI groups and later on 10 µM H₂O₂ treated cells and vehicle treated cells). Save the files for data analysis.
3. Open data analysis software (see Table of Materials) and open 0 MOI sample file. Assess cell population of interest (Gate 1). Set up the following gatings to minimize background fluorescence for ex. 488 nm/em. 525 nm (Gate 2) and ex. 405 nm/em. 525 nm (Gate 3) bandpass filters with the noninfected (0 MOI) control cells.
4. Open 50, 100, and 200 MOI sample files within data analysis software to assess the dose-response curve. Analyze mean fluorescence intensities with Gates 2 and 3 for each sample. Repeat this step for test samples (10 µM H₂O₂ treated cells and vehicle treated cells).
5. Calculate the mean fluorescent intensity ratio between oxidized versus reduced forms of roGFP with the following equation.

Image assessment
1. Use a microscope that contains fluorescence filters for CyS-roGFP and CySS-roGFP (ex. 488 nm/em. 525 nm and ex. 405 nm/em. 525 nm filters, respectively).
2. In each well of the chamber slide, pick 4 random areas to acquire images, using the 4x objective to visualize larger areas.
  NOTE: 20x objective can also be used for image displays.
3. Open the image with ImageJ software¹¹. Apply Analyze | Measure commands for each image and use the equation in step 4.1.5 to quantify the data.
  NOTE: Quantification of the images is ratiometric; therefore, the protocol does not include subtraction of background. However, to be able to compare images, brightness, contrast, and saturation must be the same for each image. Statistical significance was assessed with one-way analysis of variance (ANOVA) and Tukey’s post hoc test.

Representative Results

The redox state of CyS/CySS is easily assayed with transduced roGFPs. The fluorescent probe quantifies the ratio between the reduced and oxidized forms (excitation wavelengths 488 nm and 405 nm, respectively). Fluorescence data can be obtained by both flow cytometry and microscopy.

A large number of cells can consistently and conveniently be acquired using flow cytometry. The analysis consists of 3 main steps: 1) select the cell population of interest with the FSC area filter (Figure 1A); 2) gate the roGFP-expressing cells with ex. 488/em. 525 nm with a selective bandpass filter (Figure 1B); and 3) gate the oxidized roGFP-containing cells from the roGFP-expressing cells with ex. 405 nm/em. 525 nm bandpass filter (Figure 1C).

Each new cell line should be evaluated for the optimum adenoviral transduction efficiency of roGFPs. Transduction efficiency should be assessed with morphological evaluation of cells and roGFP expression analyses with flow cytometry and/or fluorescent microscopy. This protocol uses flow cytometry to determine the dose-response curve for roGFP analyses and to select the most efficient MOI input (Figure 2A−H). According to the MOI dose-response curve (Figure 2I), 200 MOI gave the highest roGFP expression, but cell morphology was affected, suggesting cytotoxicity. Therefore, the optimum transduction efficiency was determined to be with 100 MOI.

To evaluate the effectiveness of the method, H₂O₂ was used as a positive control for oxidation. One hundred MOI was used for optimum transduction. After the recovery period, cells were treated with 10 µM H₂O₂ for 1 h to obtain the fluorescence ratio via flow cytometry. Oxidized (ex. 405 nm/em. 525nm) and reduced (ex. 488 nm/em. 525 nm) roGFP mean fluorescence intensities were obtained from flow cytometry analyses for vehicle (Figure 3A, B) and 10 µM H₂O₂ (Figure 3C, D) treatments. The overlaid histograms represent the shift in the cell numbers of 10 µM H₂O₂ and vehicle treated groups for reduced (Figure 3E) and oxidized (Figure 3F) roGFP. The ratio between oxidized and reduced roGFP shows that 10 µM H₂O₂ caused a 3-fold increase in oxidation of roGFP compared to vehicle treatment (Figure 3G).

Fluorescent imaging of cells was also performed with 10 µM H₂O₂ under the microscope for 1 h. Images were taken under the 4x objective, and representative images were taken under the 20x objective (Figure 4A). Fluorescent intensities were evaluated with ImageJ software, and ratios were calculated. A steady state increase in H₂O₂-induced oxidation was detected (Figure 4B); incubation with H₂O₂ for 1 h increased the oxidization of roGFP cysteines, which exhibited significant change between vehicle controls.

Figure 1: Gating setup for fluorescent intensities of CyS-containing (reduced) roGFP and CySS-containing (oxidized) roGFP residues with non-transduced MDA-MB-231 cells. (A) The cell population of interest was selected as Gate 1 with SSC and FSC area filters. (B) roGFP-expressing cells were selected according to non-expressing cells as Gate 2 with the ex. 488/em. 525 nm bandpass filter. (C) Oxidized (cystine) roGFP-containing cells were gated with the ex. 405 nm/em. 525 nm bandpass filter from the roGFP-expressing population. Please click here to view a larger version of this figure.

Figure 2: MOI dose-response curve assessment with flow cytometry analyses for MDA-MB-231 cell line. (A,B) Noninfected cells and (C,D) 50 MOI, (E,F) 100 MOI, and (G,H) 200 MOI roGFP-expressing cell populations acquired for gating setup, respectively. (I) Transduced cells were evaluated and plotted as a percentage according to the cell population of interest. Please click here to view a larger version of this figure.

Figure 3: Flow cytometry assessment of CyS/CySS balance in roGFP-transduced MDA-MB-231 cell line. Vehicle-treated cells were evaluated as (A) % roGFP-expressing cells, and (B) % oxidized roGFP-expressing cells and H₂O₂ treatment were assessed with the same parameters in panels (C) and (D) respectively. Cell count histograms of vehicle and H₂O₂ treatment were overlaid for (E) reduced roGFP ex. 488/em. 525 bandpass filter and (F) oxidized roGFP ex. 405/em. 525 bandpass filter. (G) Mean fluorescence intensity ratios between oxidized/reduced forms were plotted into a bar graph. Please click here to view a larger version of this figure.

Figure 4: Fluorescent imaging of roGFP-transduced MDA-MB-231. (A) Representative images after 1 h treatment with vehicle or H₂O₂. (B) Ratios between oxidized/reduced forms were evaluated in 4 randomly chosen areas, and bars represent mean ± standard deviation. Statistical significance between groups indicated as *(p < 0.05), **(p < 0.01), or ***(p < 0.005). Please click here to view a larger version of this figure.

Analysis type	Cell number per well	Adenoviral roGFP PFU/mL	1:100 dilution of adenoviral roGFP PFU/mL	MOI	Transduction volume (mL)
*Flow cytometry*	150,000	6 x 10¹⁰	6 x 10⁸	0	0
				50	0.0125
				100	0.025
				200	0.05
*Fluorescence microscopy*	25,000	6 x 10¹⁰	6 x 10⁸	100	0.0042

Table 1: Calculation of MOI values.

Discussion

The thiol/disulfide balance in an organism reflects the redox status of cells. Living organisms have glutathione, cysteine, protein thiols, and low-molecular-weight thiols, all of which are affected by the level of oxidation and echo the redox status of cells⁴. Engineered roGFPs allow the non-disruptive quantification of the thiol/disulfide balance via their CyS residues⁷. The ratiometric property of roGFP provides reliable redox measurements for mammalian cells. roGFP can be easily introduced into cells with transfection methods and/or transduction vectors, but adenoviral transduction has higher efficiency.

The redox status of cells is easily affected by the cellular environment (e.g., confluency of cells and volume of medium). For this protocol, the optimized cell seeding confluency was determined to be 60%–70%, with 15,000 cells per cm²; on the day of analysis, cells were 70%–80% confluent. However, cell morphology and doubling time differ between cell lines. For this reason, if the researcher intends to use another cell line, cell confluency should be adjusted while acquiring measurements with flow cytometry and/or fluorescence microscopy; this will ensure accurate results based on their experimental design and needs.

roGFPs can be easily introduced to cells with multiple transfection methods and/or transduction vectors. The current protocol uses the cytosol-specific roGFP construct, which is transduced into cells with an adenovirus. Before starting an experiment, it is essential to determine the MOI dose-response for a cell line; this allows the determination of maximum transduction efficiency with minimal cell toxicity in order to design the optimal, reproducible protocol.

The CyS/CySS status of roGFP-transduced cells can be assessed with both fluorescent imaging and flow cytometry. Both analyses have their pros and cons; flow cytometry allows for a larger cell population to be quickly evaluated, but fluorescence imaging has higher sensitivity to roGFP-specific cells. Furthermore, it also confirms the correct subcellular localization of GFP (e.g., cytosolic versus mitochondrial). Here, both flow cytometry and fluorescent imaging were used by the researchers. Although H₂O₂ is considered a weak oxidant for the roGFP construct⁷, the protocol demonstrated that both methods are sensitive enough to detect ratiometric changes between oxidized and reduced forms of roGFP after H₂O₂ treatment.

This roGFP protocol can be used to determine the redox status of different mammalian cell types. To understand menadione-induced cardiomyocyte death in the context of prooxidant/antioxidant balance, Loor and colleagues used both cytosolic and mitochondrial roGFP labelling in cardiomyocytes¹². roGFP allows the visualization of the redox status of cells while they are alive, and the compartment-specific targeting enables a better understanding of diseases. Esposito and colleagues reviewed the use of roGFP to determine the redox status of cells in neurodegenerative diseases¹³. Because roGFP transduction into different organisms, including plants¹⁴ and bacteria⁹, is easily accomplished, monitoring the redox status of both bacterial and host cells during disease states could facilitate innovative treatment approaches. Furthermore, in vivo studies conducted with compartment-specific roGFP in transgenic animals may shed light on the redox status of organisms¹⁵^,¹⁶.

However, in certain situations, the roGFP biosensor is inadequate for investigating physiologically relevant redox changes⁵ and H₂O₂ oxidation⁷ within cells. Peroxidase selectivity for H₂O₂ was used to engineer more sensitive probes⁶. Yeast peroxidase ORP1 was linked to roGFP to enable the delicate measurement of H₂O₂-mediated thiol oxidation¹⁷^,¹⁸^,¹⁹. Likewise, the incorporation of human glutaredoxin (Grx1) into the roGFP sensor specifically monitors GSH/GSSG equilibrium within the cell compartments⁶^,¹⁸^,¹⁹.

This easily applicable protocol allows researchers to monitor compartment-specific redox status in intact cells, minimizing artifactual oxidation due to physical stress during cell homogenization. The current protocol demonstrates 2 quantification methods: flow cytometry (beneficial for quick analyses of large cell populations) and fluorescent microscopy (allowing for continuous time-lapse imaging and determining the morphology of the cells).

Disclosures

The authors have nothing to disclose.

Acknowledgements

The construct and recombinant adenovirus for expressing cytosol-specific roGFP in cells were generated in the laboratory of Paul T. Schumacker, PhD, Freiberg School of Medicine, Northwestern University, and ViraQuest Inc., respectively. This study was supported by the Center for Studies of Host Response to Cancer Therapy grant P20GM109005 through the NIH National Institute of General Medical Sciences Centers of Biomedical Research Excellence (COBRE NIGMS), National Institute of General Medical Sciences Systems Pharmacology and Toxicology Training Program grant T32 GM106999, UAMS Foundation/Medical Research Endowment Award AWD00053956, UAMS Year-End Chancellor’s Awards AWD00053484. The flow cytometry core facility was supported in part by the Center for Microbial Pathogenesis and Host Inflammatory Responses grant P20GM103625 through the COBRE NIGMS. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. ATA was supported by The Scientific and Technological Research Council of Turkey (TUBITAK) 2214-A scholarship.

Materials

0.25% Trypsin-EDTA	Gibco by Life Sciences	25200-056	Cell culture
4-well chamber slide	Thermo Scientific	154526	Cell seeding material for fluorescent imaging
5 ml tubes with cell strainer cap	Falcon	352235	Single cell suspension tube for flow cytometry analysis
6-well plate	Corning	353046	Cell seeding material for flow cytometry analysis
15 ml conical tubes	MidSci	C15B	Cell culture
75 cm² ventilated cap tissue culture flasks	Corning	4306414	Cell culture
Adenoviral cytosol specific roGFP	ViraQuest	VQAd roGFP	roGFP construct kindly provided by Dr. Schumaker
Class II, Type A2 Safety Hood Cabinet	Thermo Scientific	1300 Series A2	Cell culture
Countess automated cell counter	Invitrogen	C10227	Cell counting
Countess cell counter chamber slides	Invitrogen	C10283	Cell counting
DMEM	Gibco by Life Sciences	11995-065	Cell culture
FBS	Atlanta Biologicals	S11150	Cell culture
Filtered pipette tips, sterile, 20 µl	Fisherbrand	02-717-161	Cell culture
Filtered pipette tips, sterile, 1000 µl	Fisherbrand	02-717-166	Cell culture
Flow Cytometer	BD Biosciences	LSRFortessa	Instrument equipped with FITC and BV510 bandpass filters for flow cytometry analyses
Fluorescent Microscope	Advanced Microscopy Group (AMG)	Evos FL	Fluorescent imaging
Hydrogen Peroxide 30%	Fisher Scientific	H325-100	Positive control
Light Cube, Custom	Life Sciences	CUB0037	Fluorescent imaging of roGFP expressing cells (ex 405 nm)
Light Cube, GFP	Thermo Scientific	AMEP4651	Fluorescent imaging of roGFP expressing cells (ex 488 nm)
MDA-MB-231	American Tissue Culture Collection	HTB-26	Human epithelial breast cancer cell line
Microcentrifuge tubes, 2 ml	Grenier Bio-One	623201	Cell culture
PBS	Gibco by Life Sciences	10010-023	Cell culture
Pipet controller	Drummond	Hood Mate Model 360	Cell culture
Serologycal pipet, 1 ml	Fisherbrand	13-678-11B	Cell culture
Serologycal pipet, 5 ml	Fisherbrand	13-678-11D	Cell culture
Serologycal pipet, 10 ml	Fisherbrand	13-678-11E	Cell culture
Tissue Culture Incubator	Thermo Scientific	HERACell 150i	CO₂ incubator for cell culture
Trypan blue stain 0.4%	Invitrogen	T10282	Cell counting

References

Sies, H. Oxidative stress: A concept in redox biology and medicine. Redox Biology. 4, 180-183 (2015).
Jones, D. P. Redefining Oxidative Stress. Antioxidants & Redox Signalling. 8 (9-10), (2006).
Pizzino, G., et al. Oxidative Stress: Harms and Benefits for Human Health. Oxidative Medicine and Cellular Longevity. 20117, 8416763 (2017).
Go, Y. M., Jones, D. P. Thiol/disulfide redox states in signaling and sensing. Critical Reviews in Biochemistry and Molecular Biology. 48 (2), 173-191 (2013).
Hansen, J. M., Go, Y., Jones, D. P. Nuclear and Mitochondrial Compartmentation of Oxidative Stress and Redox Signaling. Annual Review of Pharmacology and Toxicology. 46 (1), 215-234 (2006).
Meyer, A. J., Dick, T. P. Fluorescent protein-based redox probes. Antioxidants and Redox Signaling. 13 (5), 621-650 (2010).
Dooley, C. T., et al. Imaging dynamic redox changes in mammalian cells with green fluorescent protein indicators. Journal of Biological Chemistry. 279 (21), 22284-22293 (2004).
Björnberg, O., Østergaard, H., Winther, J. R. Measuring intracellular redox conditions using GFP-based sensors. Antioxidants and Redox Signaling. 8 (3-4), 354-361 (2006).
Bhaskar, A., et al. Reengineering Redox Sensitive GFP to Measure Mycothiol Redox Potential of Mycobacterium tuberculosis during Infection. PLoS Pathogens. 10 (1), 1003902 (2014).
Loor, G., et al. Mitochondrial oxidant stress triggers cell death in simulated ischemia-reperfusion. Biochimica et Biophysica Acta – Molecular Cell Research. 1813 (7), 1382-1394 (2011).
Schneider, C. A., Rasband, W. S., Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nature Methods. 9 (7), 671-675 (2012).
Loor, G., et al. Menadione triggers cell death through ROS-dependent mechanisms involving PARP activation without requiring apoptosis. Free Radical Biology and Medicine. 49 (12), 1925-1936 (2010).
Esposito, S., et al. Redox-sensitive GFP to monitor oxidative stress in neurodegenerative diseases. Reviews in the Neurosciences. 28 (2), 133-144 (2017).
Meyer, A. J., et al. Redox-sensitive GFP in Arabidopsis thaliana is a quantitative biosensor for the redox potential of the cellular glutathione redox buffer. Plant Journal. 52 (5), 973-986 (2007).
Galvan, D. L., et al. Real-time in vivo mitochondrial redox assessment confirms enhanced mitochondrial reactive oxygen species in diabetic nephropathy. Kidney International. 92 (5), 1282-1287 (2017).
Swain, L., Nanadikar, M. S., Borowik, S., Zieseniss, A., Katschinski, D. M. Transgenic organisms meet redox bioimaging: One step closer to physiology. Antioxidants and Redox Signaling. 29 (6), 603-612 (2018).
Gutscher, M., et al. Proximity-based protein thiol oxidation by H2O2-scavenging peroxidases. Journal of Biological Chemistry. 284 (46), 31532-31540 (2009).
Morgan, B., Sobotta, M. C., Dick, T. P. Measuring EGSH and H2O2 with roGFP2-based redox probes. Free Radical Biology and Medicine. 51 (11), 1943-1951 (2011).
Dey, S., Sidor, A., O’Rourke, B. Compartment-specific control of reactive oxygen species scavenging by antioxidant pathway enzymes. Journal of Biological Chemistry. 291 (21), 11185-11197 (2016).

Play Video

PDF

DOI

DOWNLOAD MATERIALS LIST

Cite This Article

Tascioglu Aliyev, A., LoBianco, F., Krager, K. J., Aykin-Burns, N. Assessment of Cellular Oxidation using a Subcellular Compartment-Specific Redox-Sensitive Green Fluorescent Protein. J. Vis. Exp. (160), e61229, doi:10.3791/61229 (2020).