Skip to main content
NIHPA Author Manuscripts logoLink to NIHPA Author Manuscripts
. Author manuscript; available in PMC: 2014 Jun 23.
Published in final edited form as: Methods Mol Biol. 2014;1120:75–96. doi: 10.1007/978-1-62703-791-4_6

Biophysical and Proteomic Characterization Strategies for Cysteine Modifications in Ras GTPases

G Aaron Hobbs, Harsha P Gunawardena, Sharon L Campbell
PMCID: PMC4067004  NIHMSID: NIHMS585913  PMID: 24470020

Abstract

Cysteine is one of the most reactive amino acids and is modified by a number of oxidants. The reactivity of cysteines is dependent on the thiol pKa; however, measuring cysteine pKa values is nontrivial. Ras family GTPases have been shown to contain a free cysteine that is sensitive to oxidation, and free radical-mediated oxidation of this cysteine has been shown to be activating. Here, we present a new technique that allows for measuring cysteine pKa values using a fluorescent detection system with the molecule 4-fluoro-7-aminosulfonylbenzofurazan (ABD-F). In addition, we also describe how to generate several oxidants. Lastly, we describe several mass spectrometry-based experiments and the necessary adjustments to the experiments to detect cysteine oxidation.

Keywords: Cysteine pKa, Oxidation, Ras GTPases, Mass spectrometry, Reactive oxygen and nitrogen species

1 Introduction

One of the most reactive amino acids in proteins is cysteine, which can undergo a variety of different posttranslational modifications and several different types of oxidative reactions [1]. In fact, thiol oxidation plays a key role in regulating redox homeostasis and protecting the cell during oxidative stress [24]. Moreover, many genes that respond to redox stress show altered regulation by reactive oxygen and nitrogen species (ROS and RNS) [5]. Some of the common end products of cysteine oxidation are disulfide bond formation, mixed disulfide bond formation with glutathione (glutathiolation), and nitrosation, as well as sulfenic, sulfinic, and sulfonic acid [6]. Many redox-sensitive proteins contain cysteine residue(s) that has an altered pKa. The microenvironment surrounding the cysteine determines the pKa of the thiol side chain. However, cysteine pKa values are difficult to reliably predict as several factors influence pKa, including solvent exposure, hydrogen bond formation, and charge-charge interactions [7]. The pKa of L-cysteine in water has been measured to be ∼8.5–9, and the thiolate form (RS) is approximately tenfold more reactive than the thiol form (RSH) [8]. Thus, redox-regulated proteins often contain reactive cysteines with altered pKa values that are close to or lower than physiological pH.

Critical cellular enzymes that regulate redox homeostasis include peroxiredoxins (reduce peroxide), thioredoxins (reduce oxidized peroxiredoxin), and glutathione peroxidases (reduce peroxide using the cellular glutathione pool), which act through mechanisms involving cysteine oxidation. The pKa of the active-site cysteines have been shown to be markedly reduced in each of these classes of enzymes; for example, the active-site cysteine pKa has been shown to be approximately 5–6 in 2-Cys peroxiredoxins [9], the active-site cysteine in Escherichia coli thioredoxin was measured to be between 7.1 [10] and 7.5 [11], and the pKa of the active-site cysteine in glutathione peroxidase has been estimated to be 7.2 [12].

The work in our lab is centered on the redox regulation of Ras superfamily GTPases. We have shown that the activity of a subset of Ras and Rho GTPases can be regulated through redox-sensitive cysteines [1315]. Ras GTPases, in particular, have received a great deal of interest in the field of redox biology. There are four distinct Ras genes in the human genome, H-, K- (1A and 1B), and N-Ras, which differ primarily in their carboxyl-terminal regions. They encode small, 21-kDa guanine nucleotide-binding proteins that function as molecular switches to modulate signaling pathways that control cell growth, differentiation, and apoptosis [16]. This is achieved by cycling between the inactive (“off”) GDP-bound and active (“on”) GTP-bound states. Given the high affinity interaction between Ras and its nucleotide ligands (GDP and GTP) as well as the slow intrinsic rate of GDP dissociation and GTP hydrolysis, two classes of modulatory proteins regulate the activation state of Ras proteins. One class of proteins that activate Ras is guanine nucleotide exchange factors (GEFs), which promote exchange of GDP for GTP. Analogous to guanine nucleotide exchange factors, redox agents have been shown to stimulate nucleotide exchange and alter the activity of Ras proteins through reaction with cysteine 118 (Cys118), which is located in a conserved guanine nucleotide-binding motif [17]. We have found that only redox agents capable of thiyl radical formation, such as NO2, can modulate Ras activity [18]. Thiyl radical formation at Cys118 facilitates guanine nucleotide exchange in Ras by promoting oxidation and the subsequent dissociation of the bound guanine base [19]. In cells, where the GTP/GDP ratio is in excess, this can lead to exchange of GDP for GTP and result in Ras activation. Importantly, this mechanism of Ras regulation has been shown to play a role in Ras-mediated tumorigenesis and tumor maintenance [20].

Rho GTPases are members of the Ras superfamily, and like Ras GTPases, function as molecular switches to regulate cellular growth. However, they also regulate cell motility and oxidant regulation [21]. We have previously shown that a subset of Rho GTPases can be regulated through redox modification [22]. These GTPases contain a distinct, reactive cysteine that is conserved in ∼40 % of Rho GTPases and renders them sensitive to oxidation and oxidative modification in cells [23].

Although several methods to determine cysteine pKa values have been employed in the field [7], we have recently developed a fluorescence-based method to measure cysteine pKa values [24]. Using 4-fluoro-7-aminosulfonylbenzofurazan (ABD-F), a compound that specifically reacts with the thiolate form of the cysteine side chain, we have been able to measure the pKa of reactive thiols in Ras and Rho family GTPases. In Ras, Cys118 is the only solvent accessible cysteine in the core catalytic domain (Ras residues 1–166). Thus, Ras provides an excellent system to demonstrate the use of the ABD-F strategy for measuring pKa values of cysteine thiol side chains.

When coupled with mass spectrometry (MS), this method provides an analytical platform for the detection and quantification of redox modifications in Ras family GTPases and other proteins. The bottom-up MS method we've employed [25] requires proteolytic digestion with trypsin followed by LC-MS analysis by electrospray ionization (ESI). The accurate identification of peptides has become a routine practice with the availability of a vast number of programs and search engines that assist in assigning peptide sequences to mass spectra using probabilistic prediction algorithms [26]. In addition, the intensity, or spectral count information, can be used for the relative or absolute quantification of peptides associated with site-specific protein modifications.

Herein, we describe in detail biophysical and proteomic approaches to detect cysteine modifications in Ras GTPases, as well as the preparation and handling of ROS and RNS. These methods include:

  1. Cysteine pKa determination using 4-fluoro-7- aminosulfonylbenzofurazan (ABD-F).

  2. Generation of cysteine-modifying redox-active compounds.

  3. NO2 generation and NONOates.

  4. Quantitative mass spectrometry including

  • Isotope-coded affinity tag-labeling for relative cysteine quantification.

  • Quantification of the cysteine oxidation.

  • Differential quantification of cysteine oxidation.

  • Differential thiol trapping to determine reversible oxidation of cysteine residues.

  • Filter-aided sample preparation.

2 Materials

2.1 ABD-F Buffers and Reagents

  1. Components: 4-fluoro-7-aminosulfonylbenzofurazan (ABD-F), black, flat-bottom, non-coated plates, and protein spin concentrators.

  2. Reducing buffer: 15 mM 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid (HEPES), pH 8.0, 5 mM MgCl2, 30 mM NaCl, 200 μM diethylene triamine pentaacetic acid (DTPA), and 5 mM dithiothreitol (DTT; added day of use).

  3. ABD-F modification buffer: 15 mM 2-(N-morpholino)ethanesulfonic acid (MES), pH 6.5; (see Note 1), 5 mM MgCl2, 30 mM NaCl, and 200 μM DTPA.

  4. pH screen buffer (for a pH range between 5.5 and 8.5): 100 mM MES, 100 mM HEPES, 5 mM MgCl2, and 200 μM DTPA (titrate each pH value individually).

2.2 Nitrosation Reagent (CysNO/GSNO) Generation

  1. Solution I: 50 mM L-cysteine (or reduced glutathione) in 120 mM HCl.

  2. Solution II: 50 mM NaNO2.

  3. Solution III: 40 mM ammonium sulfamate.

  4. CysNO dilution buffer: 100 mM HEPES, pH 7.5, 5 mM MgCl2, and 1 mM DTPA.

2.3 Nitric Oxide-Releasing Agents (NONOates)

  1. All NONOate compounds (available from Cayman Chemicals).

  2. 4,5-Diaminofluorescein (DAF-2).

2.4 Mass Spectrometry Techniques

2.4.1 Isotope-Coded Affinity Tag (ICAT)-Labeling for Relative Cysteine Quantification

  1. Strong cation-exchange (SCX) PolySULFOETHYL A column.

  2. Isotope-coded affinity tag (ICAT) reagents, including a cation-exchange cartridge and avidin affinity cartridge.

  3. Micro-concentrator/spin-filter device.

  4. C18 spin column.

2.4.2 Quantification of the Cysteine Oxidation

  1. Ammonium bicarbonate (ABC) buffer: 200 mM NH4HCO3.

  2. ABC + Iodoacetamide (IAM): 200 mM NH4HCO3 and 5 mM IAM.

  3. Phosphate buffer: 100 mM Na2HPO4, pH 7.4, 50 mM NaCl, and 5 mM MgCl2.

  4. Phosphate-buffered saline (PBS): 10 mM Na2HPO4, 2 mM KH2PO4, 137 mM NaCl, and 2.7 mM KCl.

  5. BIAM-elution buffer: 50 Na2HPO4, pH 7.2, 2 mM D-biotin, and 150 mM NaCl.

2.4.3 Differential Quantification of Cysteine Oxidation

  1. Tris buffer: 50 mM Tris, pH 8.5, 25 mM NaCl, and 5 mM MgCl2.

  2. SCX buffer A: 10 mM KH2PO4, pH 3.0, and 20 % (vol/vol) acetonitrile (ACN).

  3. SCX buffer B: 10 mM KH2PO4, pH 3.0, 350 mM KCl, and 20 % (vol/vol) ACN.

2.4.4 Differential Thiol Trapping to Determine Reversible Oxidation of Cysteine Residues

Denaturing alkylation buffer (DAB): 200 mM Tris, pH 8.5, 8 M urea, 0.5 % (wt/vol) SDS, and 10 mM EDTA.

2.4.5 Filter-Aided Sample Preparation (FASP)

  1. Denaturing buffer: 0.1 M Tris, pH 8.5, and 8 M urea.

  2. Iodoacetamide (IAM) buffer (should be made day of use): 0.1 M Tris, pH 8.5, 50 mM IAM, and 8 M urea.

3 Methods

3.1 Cysteine pKa Determination Using 4-Fluoro-7-aminosulfonylbenzofurazan (ABD-F)

  1. Determine the amount (in moles) of protein that will be required to perform the assay. The assay as described is performed in a 96-well plate and requires fluorescence detection at 513 nm. Each well should contain approximately 5 or 10 μM protein and be performed in triplicate at each pH value (technical repeats). To determine the pKa accurately, a pH range must be performed with adequate coverage. As ABD-F fluorescence intensity is sensitive to the site of modification, it is important to ensure similar buffer conditions across the pH range selected.

  2. Calculate the quantity of protein required; for example, 12 pH values performed in triplicate requires approximately 72 nmol of protein to perform the assay (200 μl/well; 10 μM/well × (36 wells × 200 μl) = 72 nmol required).

  3. Reduce the protein with dithiothreitol (DTT) or dithiobutylamine (DTBA) (see Note 2) to increase the yield of protein that can react with ABD-F. For adequate reduction, exchange the protein into a buffer containing 5 mM (or greater) DTT. Prepare the reducing buffer (minimum pH of 8.0) and exchange the protein into the buffer (using Amicon Ultra concentrators). As a subset of oxidative reactions (sulfenic and sulfonic acid) will not be reversed by DTT (see Note 3), this step serves to increase the percentage of protein that can be modified by ABD-F and enhances the signal-to-noise ratio of the assay.

  4. While the protein is being buffer exchanged, prepare the ABD-F modification buffer. To remove the dissolved oxygen (see Note 4), sparge the ABD-F modification buffer with an inert gas, such as N2, for 30 min.

  5. Incubate the protein in reducing buffer for at least 60 min on ice for complete reduction.

  6. Buffer exchange the protein into the sparged ABD-F modification buffer using Amicon Ultra concentrators (use appropriately sized membrane pores). This step removes reducing agents from the sample. It is critical that at least three rounds of exchange are performed to efficiently remove reducing agent from the sample (see Note 5).

  7. Determine the protein concentration.

  8. Set up the 96-well plates. The excitation wavelength for ABD-F is 389 nm and emission wavelength is 513 nm. Set up a “dummy tray” that contains half of the volume of the final reaction (100 μl). In the “dummy tray,” add ABD-F to a final concentration that is double the intended concentration (add 2 mM ABD-F in 100 μl). As the reaction proceeds through second-order kinetics, it is critical that all wells contain exactly the same amount of protein and ABD-F; therefore, the rate of modification is related to the thiol/thiolate state of the cysteine. In a separate 96-well plate, replicate the pH screen of the “dummy tray,” but add 20 μM protein in 100 μl to each well (see Note 6).

  9. Using a multichannel pipette, quickly remove the solution from the “dummy tray” and place the solution into the respective wells of the test plate to initiate the ABD-F reaction. Quickly start the plate reader for data collection.

  10. Data analysis (see Note 7). Use the linear portion of the initial slopes to calculate the rate of fluorescence generation over time (Fig. 1a, b). Plot the determined rates of fluorescence generation versus pH and ft the resulting sigmoidal curve to a Boltzman sigmoidal equation (GraphPad Prism). This equation is used to calculate the pKa for a single site-specific modification (see Note 8; Fig. 1c).

  11. After the fluorescence data has been collected, determine the site(s) modified by ABD-F (see Note 9). A straightforward method is to employ liquid chromatography-mass spectrometry (LC-MS) on trypsin-digested samples. We have also found that cysteine-to-serine mutants can be used to confirm modification sites if the mutation does not alter the protein structure and/or ABD-F reactivity.

Fig. 1.

Fig. 1

ABD-F modification of H-RasWT over a selected pH range. (a) H-RasWT (10 μM) was reacted with ABD-F (1 mM) over a period of 6 h at the indicated pH values. Data was collected every minute, and each reaction was performed in triplicate (error bars removed for clarity). Absolute fluorescence values are presented. In systems containing one modifiable cysteine, the total fluorescence values will plateau at a similar value if given sufficient time. The inset shows the relative reactivity of H-RasC118S, which was performed under identical conditions as H-RasWT. In this graph, it is apparent that little to no modification of cysteines occurred in RasC118S. (b) The initial rates of ABD-F modification are used for pKa determination. Here, the initial data are presented (zoomed in from a), and the initial rate was determined using GraphPad Prism; linear curve fitting was performed. Error bars are removed for clarity. (c) The observed rates of modification are plotted against pH. Each data point represents the rate of modification determined from the curve fitting in (b). The data were fit to a Boltzmann Sigmoidal distribution to determine the pKa. Control data (see inset in a) show that only RasC118 is modified by ABD-F as the RasC118S control shows no reactivity. However, RasCys118 does not have an altered pKa. Hence, the maximal rate of modification could not be obtained as Ras becomes unstable at high pH values. Therefore, the pKa is an estimate

3.2 Generation of Cysteine-Modifying Redox-Active Compounds (CysNO/GSNO Generation)

As the reactions of ROS and RNS with proteins are diverse and often complex, this section will focus on the generation and quantification of various redox-active compounds. Subheading 3.4 will describe mass spectrometry (MS) approaches to quantify and determine the sites of modification.

  1. Prepare solution I and solution II on the day of use (see Notes 10 and 11).

  2. Mix 100 μl of solution I with 100 μl of solution II and place into a foil-covered 1.5-ml Eppendorf tube. Allow the reaction mixture to sit in the dark for 10 min. These reactions are highly light sensitive; therefore, care should be maintained to keep all reactions in the dark.

  3. Add 20 μl of 40 mM ammonium sulfamate to remove unreacted nitrate and allow the reaction to proceed in the dark for an additional 2 min. This protocol assumes an ∼85 % efficiency of the reaction (although published reports suggest an efficiency as high as ∼90 % [27]) and adds a sufficient concentration of sulfamate to remove all remaining NO2.

  4. Dilute the thiol-NO (i.e., CysNO or GSNO) with 880 μl (fourfold) of CysNO dilution buffer. While this buffer can be altered to fit the needs of the individual researcher, the high concentration of the buffer component prevents changes in pH, reduces metal contaminants, and increases the half-life of the thiol-NO in solution [28, 29].

  5. Measure the concentration of the generated thiol-NO using absorbance at 336 nm. The molar absorptivity for CysNO and GSNO is 900 M−1 cm−1. Alternatively, the molar absorptivity of 16.8 M−1 cm−1 at 543 nm can be used for concentration determination (see Note 12).

3.3 NO2 Generation and NONOates

While CysNO represents a good nitrosation agent that can modify protein thiols through non-radical oxidative (two-electron) chemistry, the activity of Ras GTPases are uniquely sensitive to free radical oxidation. Free radical agents, such as NO2, can react with a solvent accessible thiol in Ras to produce a thiyl radical. Through electron transfer, the bound guanine nucleotide becomes oxidized, which results in enhanced guanine nucleotide dissociation and enhanced guanine nucleotide exchange (activation) [13]. Thus, Ras activity is modulated by free radical agents capable of thiyl radical formation but not through non-radical oxidation. However, this radical-mediated mechanism may not be unique to Ras GTPases. Increasing evidence suggests that in many cases, non-radical-mediated thiol oxidation reactions may be too slow to be biologically relevant [30]. Thus, in this section, we describe the preparation and handling of NO2 for use in radical-mediated protein modification.

3.3.1 NO2 Gas Generation

  1. NO2 gas can be purchased from various companies; however, it can just as easily be generated. Obtain a small reaction vial and add a small piece of copper wire (∼100 mg or less) and cover the vial with a rubber stopper that is airtight.

  2. Deplete the oxygen from the vial using an inert gas, such as N2.

  3. Inject in a small volume of nitric acid. Allow the reaction to proceed for 5–10 min. Nitrogen dioxide radicals are formed by the following equation:

    Cu+4HNO3Cu(NO3)2+2NO2+2H2O (1)

    The reaction proceeds by the above reaction pathway if a brown gas is generated. This reaction should be performed in a hood as NO2• gas is highly toxic.

  4. Estimate the concentration of NO2• gas that will dissolve in solution using Henry's Law. Henry's Law states that the amount of a gas that will dissolve in solution is directly proportional to the partial pressure of the gas in equilibrium with the liquid. The coefficient (k) for NO2• is needed for these calculations. From a table containing these coefficients, a range of 1,800– 2,500 mol/l/atm can be obtained [31, 32]. As the density for NO2• gas (2.62 g/cm3) is heavier than N2 gas (0.808 g/cm3), one can assume that the relative gas concentration is 100 % NO2• at the bottom of the vial. The coefficient needs to be converted to units of atm/mol/l by taking the reciprocal of the coefficient. Thus, a range of 1.2–3.4 × 10−2 atm/mol/l is obtained.

  5. Prepare a reaction vial with the protein. Seal the reaction vial and deplete the oxygen using N2 or another inert gas. The headspace remaining will be critical; thus, the volume remaining in the reaction vial after the addition of the protein sample needs to be determined.

  6. Add NO2 gas to the reaction vial. The amount of gas added to the sealed reaction vial will not likely affect the pressure in the reaction vial significantly; therefore, the pressure is estimated to be 1 atm. However, the percent of NO2• added to the vial relative to the remaining headspace must be calculated to determine the percent of NO2 gas in the gas mixture. Thus, if 100 μl of pure NO2 gas is added to a reaction vial with 1 ml head space (inert N2 gas), then the total concentration of NO2 gas will be 10 % (thus, 0.10 × 1.00 atm = 0.10 atm NO2 gas in this example).

  7. Using the equation c = p/k, where c is the concentration, p is the partial pressure (from step 8, 0.10 atm), and k is the inverse of Henry's law coefficient (from step 4, using an average of 2.3 × 10−2 atm/mol/l), approximately 4.35 mol/l NO2 gas will dissolve in liquid in a sealed reaction vial.

3.3.2 NONOates

NONOates, such as the compounds listed in Table 1, are compounds that release NO in solution in a pH and time-dependent manner over seconds, minutes, or hours.

Table 1. Specifications and use of NONOate compounds.
Name Cas# Efficiency (mol NO per NONOate) Half-life at 37 °C; 22–25 °C λmax (nm) ε (M-1cm-1)
DETA NONOate 146724-94-9 2 20 h; 56 h 252 7,640
Spermine NONOate 136587-13-8 2 39 min; 230 min 252 8,500
Proli NONOate N/A 2 1.8 s; N/A 252 8,400
DPTA NONOate 146724-95-0 2 3 h; 5 h 252 7,860
DEA NONOate 372965-00-9 1.5 2 min; 16 min 250 6,500
PAPA NONOate 146672-58-4 2 15 min; 77 min 252 8,100
MAHMA NONOate 146724-86-9 2 1 min; 2.7 min 250 7,250
Sulpho NONOate [5456] 61142-90-3 0 7 min; 77 min 252 8,100

All NONOate compounds currently available and the CAS# (Proli NONOate currently has no CAS#) are listed. The efficiency represents the number of moles NO released per mol of NONOate compound. The half-life information is provided at both temperatures. The λmax is the wavelength where concentration of the compounds can be taken using a UV spectrophotometer, and ε is the corresponding extinction coefficient

There are 8 NONOate compounds available. All NONOates are relatively stable at alkaline pH (approximately 24 h at 0 °C) and are water soluble. However, at pH 5, the release of NO is nearly instantaneous. In addition, each NONOate has a characteristic UV absorbance value. Relevant information on NONOates is listed in Table 1.

  1. Suspend the desired amount of NONOate in 10 mM NaOH to minimize NO release (see Note 13 and Fig. 2).

  2. To measure NO release in the selected buffer, 4,5-diaminofluorescein (DAF-2) can be used. DAF-2 specifically binds to NO and undergoes a change in fluorescence upon reaction. DAF-2 has excitation and emission wavelengths of 485 and 538 nM, respectively. Approximately 10 μM DAF-2 is recommended. DAF-2 has a detection limit of 5 nM at neutral pH (see Note 14).

Fig. 2.

Fig. 2

The reaction profile of NO generated from NONOates. The two most important reactions with NO2 are with free thiols (black pathway) and free NO (red pathway). The rate for NO2 with free thiol (RSH) is ≥2 × 107 M−1 s−1 [51, 52]. For the reaction of NO2 with NO to form N2O3, the rate is 1.1 × 109 M−1 s−1 [51, 53]. While this reaction is readily reversible, the reaction kinetics in vitro will favor the nitrosation of thiols through the reaction N2O3 + RSH → RSNO (in red, rate of 1.2 × 107 M−1 s−1 and an autohydrolysis rate with water of 4.75 × 107 s−1). However, in an in vivo system, the pathway in black will likely be the major route of protein oxidation [13]. While the end product of the pathway in red is identical to the pathway in black (free radical mediated), the reactions involving thiyl radical species result in unique regulation in Ras family GTPase activity. The gray reaction pathway is less likely to occur because it relies on three bimolecular reactions (2(NO + NO → NO2) and NO2 + NO2→ N2O4), whereas the red and black pathways require only two bimolecular reactions

3.4 Quantitative Mass Spectrometry

The cysteine labeling procedure known as isotope-coded affinity tag (ICAT) [33] was the first stable isotope-based chemical labeling method used in quantitative proteomics. The ICAT approach was designed primarily for the semiquantitation of proteins expressed in two cellular states by labeling proteins with heavy and light cysteine-reactive tags. The trypsin-digested peptides that correspond to the differential labels are identified using MS, and the relative signal intensities are used for quantitative comparison (see Fig. 3).

Fig. 3.

Fig. 3

Generalized ICAT-based relative quantification schematic for measuring cysteine peptides. ICAT allows for the relative quantification of samples from two separate conditions, such as quantification of protein expression levels under different cellular conditions. However, if one omits the reducing steps and adds an oxidation step to one of the conditions, then this approach can be adapted to study oxidation of proteins in cellular tissue (described in detail in the acid-cleavable ICAT with H2O2 approach). Each sample can be subjected to a technical replicate by reverse labeling to ensure reproducibility. Furthermore, ICAT reagents can be swapped out for other stable isotope-labeled tags, such as BIAM or Cys-tandem mass tag reagents

Proteomics-based methodologies have recently been developed to study redox regulation in proteins, also known as the redoxome [34, 35]. A number of stable isotope labeling methods exist for measuring cysteine oxidation by MS. The majority of these methods fall into two main categories: (1) cysteine oxidation measured directly by comparing the loss of oxidized peptide as a function of oxidants by the relative signal intensities of cysteine-containing peptides labeled with light and heavy stable isotope reagents, such as ICAT, biotinylated-ICAT [36, 37], or biotinylated iodoacetamide (BIAM) [35], and (2) cysteine oxidation measured indirectly by thiol-blocking, selective reduction, and reversible modification using thiol probes that detect a gain in signal due to thiol oxidation, which is defined as oxICAT (see Fig. 4) [38]. In the context of measuring redox modifications, ICAT and other types of cysteine-reactive tags allow for the accurate quantification of cysteine-containing peptides [39]. Here, we describe new techniques for detecting and quantifying cysteine oxidation using mass spectrometry-based methods, including isotope-coded affinity tag-labeling for relative cysteine quantification, quantification of the cysteine oxidation, differential quantification of cysteine oxidation, differential thiol trapping to determine reversible oxidation of cysteine residues, and filter-aided sample preparation (see Note 15).

Fig. 4.

Fig. 4

The oxICAT schematic for measuring cysteine oxidation. This method measures reversible cysteine oxidation. Here, the protein is denatured and labeled in one step, which labels all non-oxidized and buried cysteines with the heavy label, and is completed by reducing the oxidized species and labeling with the light isotope. Thus, if several experiments are performed by varying levels of oxidant exposure, one can estimate the level of oxidation (relative reactivity) of cysteines in a protein. A gain in signal intensity of the light isotope-labeled signal is an indirect measure of reversible thiol oxidation. Note that a technical or biological replicate analysis can be performed by reversing the order of the ICAT labels with the heavy isotope representing the oxidized species

3.4.1 Isotope-Coded Affinity Tag (ICAT)-Labeling for Relative Cysteine Quantification

  1. Generate proteins from cellular extracts and measure total protein using the bicinchoninic acid (BCA) assay.

  2. Supplement the buffer with 0.1 % sodium dodecyl sulfate (SDS) before modification with the ICAT reagents (see Note 16).

  3. Incubate the modified and unmodified samples at 37 °C with the acid-cleavable 12C (light) or 13C (heavy) ICAT reagents in the absence of reducing agent using the protocol supplied by the manufacturer.

  4. After 2 h of incubation, mix the light and heavy ICAT-labeled protein samples at a stoichiometric ratio of 1:1, and trypsin digest the mixture by incubating at 37 °C overnight in ABC buffer.

  5. Purify the trypsin-digested peptides using a cation-exchange cartridge to remove excess labeling reagent. The desalted peptides are affinity purified using the avidin affinity cartridge. Dry the peptides and suspend in the cleavage reagent to release the peptides from the acid-cleavable linker by incubating at 37 °C for 2 h. Dry the acid-cleaved peptides and suspend in 0.1 % formic acid for LC-MS analysis (see Notes 17 and 18 for data analysis, see Notes 19 and 20 for alternative approaches).

3.4.2 Quantification of the Cysteine Oxidation

The biotinylated iodoacetamide (BIAM) approach can be used to study oxidation of exposed cysteines under controlled redox conditions by quantifying differential BIAM labeling. The redox chemistry includes the reversible oxidation of cysteine residues by the addition of H2O2 or other oxidants as well as reduction with reducing agents to reduce oxidized cysteines.

  1. Generate oxidized proteins.

  2. Dissolve the proteins in ABC buffer containing 5 mM iodoacetamide (IAM) and incubate at room temperature in the dark for 30 min to complete the modification of accessible Cys residues with IAM.

  3. Centrifuge the samples at 15,000 × g for 1 h, dialyze the supernatant against phosphate buffer, and divide the sample into two equal parts.

  4. Dilute the two equal samples to 5 ml with phosphate buffer.

  5. Add 250 μl of 100 mM DTT. Similarly, incubate the second control sample with 250 μl phosphate buffer.

  6. Incubate both samples at room temperature for 30 min and treat with 275 μl of 100× BIAM for 30 min in the dark at room temperature. Remove excess BIAM by overnight dialysis against ABC buffer.

  7. Load the sample on an avidin affinity cartridge followed by incubation for 20 min at room temperature.

  8. Wash the column with 1–4 volumes of PBS, collect the flow-through, and wash the column further with PBS until the absorbance at 280 nm returns to baseline.

  9. Elute the BIAM-modified proteins with four bed volumes of BIAM-elution buffer.

  10. Trypsin digest the proteins overnight at 37 °C. Purify peptides using a PepClean desalting column according to the manufacturer's protocol and analyze the peptides by LC-MS analysis.

3.4.3 Differential Quantification of Cysteine Oxidation

  1. Incubate oxidized and reduced protein samples (200 μg) in 100 μl of Tris buffer with light and heavy acid-cleavable ICAT reagents, respectively, at 37 °C for 3 h in the absence of reducing agents.

  2. Volumetrically mix the light and heavy-labeled proteins at a 1:1 ratio and buffer exchange the samples against ABC buffer.

  3. Digest the samples with trypsin by overnight incubation at 37 °C.

  4. Lyophilize the digested peptides and suspend in either affinity loading buffer for direct avidin affinity purification or fractionate by reconstituting the dried peptides in SCX buffer A.

  5. Fractionate the peptides using HPLC and a strong cation-exchange (SCX) PolySULFOETHYL A column with a step gradient of SCX buffer A to SCX buffer B.

  6. Mix the individual fractions from SCX with equivalent amounts of affinity loading buffer and load onto an avidin affinity cartridge. Dry the avidin affinity purified peptides using a lyophilizer and suspend in the cleavage reagent to release the ICAT-labeled peptides from the acid-cleavable linker by incubating at 37 °C for 2 h.

  7. Dry the peptides obtained by acid cleavage and suspend in 0.1 % formic acid for LC-MS/MS analyses.

3.4.4 Differential Thiol Trapping to Determine Reversible Oxidation of Cysteine Residues

  1. After purifying the oxidized protein sample, precipitate the protein with 10 % trichloroacetic acid (TCA).

  2. Centrifuge the TCA precipitates (13,000 × g, 4 °C, 30 min) and wash the pellet with 500 μl of ice-cold 10 % TCA and 200 μl of ice-cold 5 % TCA.

  3. Dissolve the pellet in 80 μl of denaturing alkylation buffer (DAB) and the contents of one vial of cleavable heavy ICAT reagent dissolved in 20 μl of ACN.

  4. Incubate the sample at 900 rpm for 1 h at 37 °C in the dark. To remove the light ICAT reagent, precipitate the proteins with 400 μl of chilled (20 °C) acetone for 4 h at 20 °C. After centrifugation (13,000 × g, 4 °C, 30 min), wash the pellet twice with 500 μl of chilled acetone.

  5. Dissolve the protein pellet in a mixture of 80 μl of DAB, 1 μl of 100 mM DTT, or other selected reducing agents.

  6. Add the contents of one vial of cleavable light ICAT reagent dissolved in 20 μl of ACN.

  7. Incubate the sample at 900 rpm for 1 h at 37 °C in the dark.

  8. Perform trypsin digestion of the ICAT-labeled peptides, enrichment on streptavidin columns, and cleavage of the biotin tag according to the description in Subheadings 3.4.1 and 3.4.2.

  9. Subject the sample to LC-MS/MS analysis.

3.4.5 Filter-Aided Sample Preparation (FASP)

There are two major strategies for converting proteins extracted from biological material to generating peptides suitable for MS-based proteome analysis: SDS-PAGE separation and in-gel digestion or in-solution digestion. The SDS-PAGE separation method reduces sample complexity by removing sample contaminants, such as detergents, salts, DNA, and other nonprotein compounds. The in-gel digestion approach is generally less efficient compared to in-solution digestion; however, when sample amounts are not limiting, this technique has shown wider usage amongst biologists for generating peptides. More recently, the filter-aided sample preparation (FASP) method has been introduced as it removes high levels of salts, SDS, and other contaminants prior to in-solution digestion [4043]. In the FASP protocol, all protein cleanup steps, enrichment, and tryptic digestions are performed in a single micro-concentrator/spin-filter device. The technique can be quite useful for performing fast sample cleanup of in vitro-purified proteins where no further separation is required.

  1. Mix 30 μl of sample with 200 μl of denaturing buffer in a YM10 or YM30 (depending on protein size) spin column and centrifuge for 15 min at 14,000 × g.

  2. Add an additional 200 μl of denaturing buffer to a YM10 or YM30 spin column and centrifuge for 15 min at 14,000 × g (see Note 21).

  3. Discard the flow-through.

  4. Add 100 μl of IAM buffer and mix on a shaker at 600 rpm for 1 min.

  5. Incubate for 20 min at 25 °C (see Note 22).

  6. Centrifuge for 10 min at 14,000 × g.

  7. Add 100 μl of denaturing buffer to the spin column and spin for 15 min at 14,000 × g. Repeat this step two additional times.

  8. Add 100 μl of ABC buffer and spin as in step 7. Repeat this step 2 additional times.

  9. Add 16 μl of 0.1 μg/μl trypsin solution (trypsin should be diluted with ABC buffer) to the micro-concentrator/spin-filter device (see Note 23 for an alternative approach).

  10. Remove old collection tubes from the spin column and replace with fresh collection tubes before centrifuging for 10 min at 14,000 × g.

  11. Add 40 μl of ABC buffer and centrifuge for 10 min at 14,000 × g to collect peptides.

Acknowledgments

We would like to thank Dan Isom for his technical insights. The research efforts described herein were supported by NIH RO1GM75431 and RO1CA089614 to SLC, and GAH was partially funded by the Program in Molecular and Cellular Biophysics (NIH T32GM008570).

Footnotes

1

pH 6.5 was selected because low pH values help maintain cysteine residues in the thiol (–SH) state. Higher pH buffers (>8.0) allow cysteines to populate the thiolate (–S) state, which makes them more susceptible to air oxidation.

2

To modify proteins with redox-active reagents, it is important that the thiol moieties of the protein be in the reduced state. ABD-F will not react with oxidized cysteines and will result in reduced fluorescence yield. Further, oxidation of a thiol to sulfenic acid (-SOH) can result in disulfide bond formation. Thus, disulfide bonds and further oxidation states can readily occur when the protein is in the sulfenic acid state regardless of the thiol pKa. If the protein is in the sulfinic (-SO2H) or sulfonic (-SO3H) state, the protein cannot be reduced and will be less reactive to ROS and RNS. By maintaining the protein in a reduced state, the reactivity will be dependent on the thiol/thiolate state of the protein.

3

DTT works most efficiently at pH values greater than 8.0. This is because the reducing agent is effective when one of the thiol moieties is in the thiolate form. The pKa of the DTT thiols are ∼9.2 and 10.1 [44]. Mercaptoethanol (β-ME) is not optimal as it can stably modify thiols, which will reduce reactivity with ABD-F. Tris(2-carboxyethyl)phosphine (TCEP), which is a phosphine-reducing agent, appears to be efficient at reducing disulfides; however, other oxidation states, such as sulfenic acid (-SOH), are not efficiently reduced by TCEP according to our observations. A new reducing agent, dithiobutylamine (DTBA), functions similarly to DTT and has a thiol pKa that is approximately one unit lower [45], which increases the reactivity of DTBA at physiological pH values. However, this reducing agent needs to be generated in house and is currently unavailable for purchase.

4

The buffer should have all oxygen removed as this will aid in preventing air oxidation over time, especially when studying thiols with altered pKa values, as the thiolate (RS) is more reactive than a thiol (RSH).

5

ABD-F reacts with free thiols in solution. Thus, reducing agents that act through a free thiol (e.g., DTT, β-ME, and DTBA) will generate fluorescence signal (false reactivity) and interfere with pKa measurements. Therefore, these reagents cannot be present during data collection.

6

A final concentration of 10 μM protein is sufficient to give a good signal-to-noise ratio for most proteins. In general, a 100:1 ABD-F:protein ratio is sufficient.

7

Although the curve-fitting approach outlined quantifies the initial linear slopes, collecting data at longer times will aid in verifying whether equivalent amounts of protein and ABD-F were added to each well (see Fig. 1a).

8

This method is most effective when using a protein that only has one solvent accessible cysteine because the reactivity of other cysteines will complicate data analysis.

9

If the protein of interest contains multiple solvent accessible cysteines, the assay can be modified to determine whether the protein has a cysteine with an altered pKa. Using a substitution mutant of the suspected redox-sensitive cysteine (Cys-to-Ser (or Ala) mutation), perform the assay essentially as described but at one pH value (pH 6.5 is recommended such that non-redox- sensitive cysteines that do not have altered pKa values do not result in high background signal). Thus, the cysteine mutant serves as a control and provides the background level of ABD-F modification in the protein.

10

As reported in Grossi et al. [27], the pH of the reaction is critical for generating optimum nitroso-thiol content; therefore, after solution I and II are mixed, the solution pH should be approximately 1.7–2.0.

11

In general, any volume and concentration of nitroso-thiol is possible. The protocol explained in detail here is scaled to meet the needs of our experiments. Thus, this protocol will yield approximately 1,100 μl of 8 mM thiol-NO.

12

An alternative is to use the Saville assay [46] to measure thiol-NO concentration. However, this assay detects NO2 as well as the thiol-NO, which could lead to error if the free NO2 in solution has not been reacted with the thiol or sulfamate. In our experience, the absorbance at 336 nm is reliable.

13

An inherent disadvantage to using NONOates is that they generate NO. In the case of Ras, NO2 is required for thiyl radical production. However, NO can react with O2 to form NO2 as well as other reaction products. A further disadvantage is that once NO2 is generated, it can react with NO released by the NONOate to produce other reaction products. A common reaction product is N2O3, which can nitrosate cysteines at an approximate rate of 1.2 × 107 M−1 s−1 (Fig. 2) [47]. In Ras reactions with DEA NONOate, we observed that only a fraction of Ras reacts with NO2 to induce nucleotide dissociation and a sizable fraction of Ras can be nitrosated by N2O3. However, nitrosation of Ras through a non-radical pathway does not alter Ras activity [48, 49]. Modification by N2O3 is only likely under the reaction conditions used in vitro with purified proteins; however, in cells, this oxidation pathway is not favored.

14

One can verify the dependence of the NO species generated on protein activity when using NONOates by adding in PTIO (2-Phenyl-4,4,5,5-tetramethylimidazoline-1-oxyl 3-oxide), which is a selective NO scavenger. This control will allow the user to verify whether free radical byproducts cause the observed effects, as opposed to a competing reaction with the NONOate breakdown products.

15

All of the strategies described in Subheading 3.4 rely on the loss of the analytical signal upon cysteine modification (oxidation). Most cysteine residues are maintained in their reduced state in cells, measuring glutathiolation directly using chemical labeling significantly impacts the sensitivity and dynamic range of (oxidation) detection.

16

Buffers with low concentrations of SDS or urea allow for more complete labeling of the unfolded protein by the ICAT reagents.

17

All buffers should be prepared in HPLC grade water for optimum performance. All reversed-phase LC-MS buffers should be prepared in LC-MS grade water.

18

All peptides containing cysteine residues will contain heavy and light pairs of ICAT labels, and their relative intensities are measured using a full MS scan. The relative intensity, ratio = [Lint/Hint], is used to determine the relative levels of modification.

19

A similar strategy to ICAT has been demonstrated to measure cysteine oxidation due to NO through the use of light and heavy n-ethylmaleimide (NEM) reagents that are generally used to protect sulfhydryls. We believe that this strategy could be adapted to study glutathiolation as well because the ICAT reagents can be easily replaced by NEM and d5-NEM. More recently, other stable isotope labeling reagents have become available, such as Cys-TMT (Thermo Fisher Scientific; San Jose CA). The use of Cys-TMT allows for an analytical work-flow to quantitatively assay free cysteine residues and determine the extent of modification under six biologically distinct conditions in a single mass spectrometry experiment. The multiplexing is particularly useful for studies involving time-course measurements.

20

An alternative strategy compared to the methods described in Subheading 3.4 is to introduce a reduction step to remove reversible cysteine modifications. Protein modifications can be measured indirectly by the following steps: (a) alkylation of free sulfhydryl groups on cysteine residues; (b) reduction of glutathione adducts by glutaredoxin (Grx), which does not affect other cysteine modifications; and (c) blocking all nascent sulfhydryl groups with an irreversible labeling reagent, such as IAM or NEM. The advantage of this method is that glutathione-specific cysteines will be quantitatively assayed. This methodology is more sensitive due to a net increase in the analytical signal for measuring glutathiolation, which is advantageous because most cysteine residues have low levels of glutathiolation in cells.

21

A YM30 filter (MW cut off of 30 kDa) is used to improve filtration speeds, whereas denaturants assist on-filter retention of proteins less than 30 kDa. However, the use of YM10 filters would be a conservative approach for ensuring the retention of lower molecular weight proteins/polypeptides (approximately 5–8 kDa range).

22

As we are studying cysteine oxidation in the sample prior to alkylation, the reducing step is omitted. Alkylation is performed to prevent disulfide exchange from scrambling the oxidative modifications to other cysteine residues that are exposed upon trypsin digest.

23

Incubate overnight at 37 °C or incubate for 1–5 min using microwave irradiation as described in the GOFAST method [50]. An alternative approach uses endoprotease Lys-C (1:100 enzyme/protein ratio) for 4 h at 37 °C prior to trypsin digestion to improve the overall peptide digestion efficiency.

References

  • 1.Netto LE, de Oliveira MA, Monteiro G, et al. Reactive cysteine in proteins: protein folding, antioxidant defense, redox signaling and more. Comp Biochem Physiol C Toxicol Pharmacol. 2007;146:180–193. doi: 10.1016/j.cbpc.2006.07.014. [DOI] [PubMed] [Google Scholar]
  • 2.Martinez-Ruiz A, Lamas S. Signalling by NO-induced protein S-nitrosylation and S-glutathionylation: convergences and divergences. Cardiovasc Res. 2007;75:220–228. doi: 10.1016/j.cardiores.2007.03.016. [DOI] [PubMed] [Google Scholar]
  • 3.Mieyal JJ, Chock PB. Posttranslational modification of cysteine in redox signaling and oxidative stress: focus on s-glutathionylation. Antioxid Redox Signal. 2012;16:471–475. doi: 10.1089/ars.2011.4454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Wang Y, Yang J, Yi J. Redox sensing by proteins: oxidative modifications on cysteines and the consequent events. Antioxid Redox Signal. 2012;16:649–657. doi: 10.1089/ars.2011.4313. [DOI] [PubMed] [Google Scholar]
  • 5.Adler V, Yin Z, Tew KD, et al. Role of redox potential and reactive oxygen species in stress signaling. Oncogene. 1999;18:6104–6111. doi: 10.1038/sj.onc.1203128. [DOI] [PubMed] [Google Scholar]
  • 6.Reddie KG, Carroll KS. Expanding the functional diversity of proteins through cysteine oxidation. Curr Opin Chem Biol. 2008;12:746–754. doi: 10.1016/j.cbpa.2008.07.028. [DOI] [PubMed] [Google Scholar]
  • 7.Roos G, Foloppe N, Messens J. Understanding the pK(a) of redox cysteines: the key role of hydrogen bonding. Antioxid Redox Signal. 2013;18:94–127. doi: 10.1089/ars.2012.4521. [DOI] [PubMed] [Google Scholar]
  • 8.Bulaj G, Kortemme T, Goldenberg DP. Ionization-reactivity relationships for cysteine thiols in polypeptides. Biochemistry. 1998;37:8965–8972. doi: 10.1021/bi973101r. [DOI] [PubMed] [Google Scholar]
  • 9.Nelson KJ, Parsonage D, Hall A, et al. Cysteine pK(a) values for the bacterial peroxiredoxin AhpC. Biochemistry. 2008;47:12860–12868. doi: 10.1021/bi801718d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Dyson HJ, Jeng MF, Tennant LL, et al. Effects of buried charged groups on cysteine thiol ionization and reactivity in Escherichia coli thioredoxin: structural and functional characterization of mutants of Asp 26 and Lys 57. Biochemistry. 1997;36:2622–2636. doi: 10.1021/bi961801a. [DOI] [PubMed] [Google Scholar]
  • 11.Chivers PT, Prehoda KE, Volkman BF, et al. Microscopic pKa values of Escherichia coli thioredoxin. Biochemistry. 1997;36:14985–14991. doi: 10.1021/bi970071j. [DOI] [PubMed] [Google Scholar]
  • 12.Tosatto SC, Bosello V, Fogolari F, et al. The catalytic site of glutathione peroxidases. Antioxid Redox Signal. 2008;10:1515–1526. doi: 10.1089/ars.2008.2055. [DOI] [PubMed] [Google Scholar]
  • 13.Davis MF, Vigil D, Campbell SL. Regulation of Ras proteins by reactive nitrogen species. Free Radic Biol Med. 2011;51:565–575. doi: 10.1016/j.freeradbiomed.2011.05.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Lander HM, Hajjar DP, Hempstead BL, et al. A molecular redox switch on p21(ras). Structural basis for the nitric oxide-p21(ras) interaction. J Biol Chem. 1997;272:4323–4326. doi: 10.1074/jbc.272.7.4323. [DOI] [PubMed] [Google Scholar]
  • 15.Mitchell L, Hobbs GA, Aghajanian A, et al. Redox regulation of ras and rho GTPases: mechanism and function. Antioxid Redox Signal. 2013;18:250–258. doi: 10.1089/ars.2012.4687. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Takai Y, Sasaki T, Matozaki T. Small GTP-binding proteins. Physiol Rev. 2001;81:153–208. doi: 10.1152/physrev.2001.81.1.153. [DOI] [PubMed] [Google Scholar]
  • 17.Lancaster JR., Jr Protein cysteine thiol nitrosation: maker or marker of reactive nitrogen species-induced nonerythroid cellular signaling? Nitric Oxide. 2008;19:68–72. doi: 10.1016/j.niox.2008.04.028. [DOI] [PubMed] [Google Scholar]
  • 18.Heo J, Campbell SL. Ras regulation by reactive oxygen and nitrogen species. Biochemistry. 2006;45:2200–2210. doi: 10.1021/bi051872m. [DOI] [PubMed] [Google Scholar]
  • 19.Heo J, Campbell SL. Mechanism of p21Ras S-nitrosylation and kinetics of nitric oxide-mediated guanine nucleotide exchange. Biochemistry. 2004;43:2314–2322. doi: 10.1021/bi035275g. [DOI] [PubMed] [Google Scholar]
  • 20.Lim KH, Ancrile BB, Kashatus DF, et al. Tumour maintenance is mediated by eNOS. Nature. 2008;452:646–649. doi: 10.1038/nature06778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Jaffe AB, Hall A. Rho GTPases: biochemistry and biology. Annu Rev Cell Dev Biol. 2005;21:247–269. doi: 10.1146/annurev.cellbio.21.020604.150721. [DOI] [PubMed] [Google Scholar]
  • 22.Heo J, Raines KW, Mocanu V, et al. Redox regulation of RhoA. Biochemistry. 2006;45:14481–14489. doi: 10.1021/bi0610101. [DOI] [PubMed] [Google Scholar]
  • 23.Aghajanian A, Wittchen ES, Campbell SL, et al. Direct activation of RhoA by reactive oxygen species requires a redox-sensitive motif. PLoS One. 2009;4:e8045. doi: 10.1371/journal.pone.0008045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Isom DG, Marguet PR, Oas TG, et al. A miniaturized technique for assessing protein thermodynamics and function using fast determination of quantitative cysteine reactivity. Proteins. 2011;79:1034–1047. doi: 10.1002/prot.22932. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chait BT. Chemistry. Mass spectrometry: bottom-up or top-down? Science. 2006;314:65–66. doi: 10.1126/science.1133987. [DOI] [PubMed] [Google Scholar]
  • 26.Yates JR, Ruse CI, Nakorchevsky A. Proteomics by mass spectrometry: approaches, advances, and applications. Annu Rev Biomed Eng. 2009;11:49–79. doi: 10.1146/annurev-bioeng-061008-124934. [DOI] [PubMed] [Google Scholar]
  • 27.Grossi L, Montevecchi PC. S-nitrosocysteine and cystine from reaction of cysteine with nitrous acid. A kinetic investigation. J Org Chem. 2002;67:8625–8630. doi: 10.1021/jo026154+. [DOI] [PubMed] [Google Scholar]
  • 28.Moore KP, Mani AR. Measurement of protein nitration and S-nitrosothiol formation in biology and medicine. Methods Enzymol. 2002;359:256–268. doi: 10.1016/s0076-6879(02)59190-4. [DOI] [PubMed] [Google Scholar]
  • 29.Gu J, Lewis RS. Effect of pH and metal ions on the decomposition rate of S-nitrosocysteine. Ann Biomed Eng. 2007;35:1554–1560. doi: 10.1007/s10439-007-9327-5. [DOI] [PubMed] [Google Scholar]
  • 30.Jones DP. Radical-free biology of oxidative stress. Am J Physiol Cell Physiol. 2008;295:C849–C868. doi: 10.1152/ajpcell.00283.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Berdniko VM, Bazhin NM. Oxidation-Reduction Potentials of Certain Inorganic Radicals in Aqueous Solutions. Russ J Phys Ch Ussr. 1970;44:395–398. [Google Scholar]
  • 32.Chameides WL. The Photochemistry of a Remote Marine Stratiform Cloud. J Geophys Res-Atmos. 1984;89:4739–4755. [Google Scholar]
  • 33.Gygi SP, Rist B, Gerber SA, et al. Quantitative analysis of complex protein mixtures using isotope-coded affinity tags. Nat Biotechnol. 1999;17:994–999. doi: 10.1038/13690. [DOI] [PubMed] [Google Scholar]
  • 34.Chiappetta G, Ndiaye S, Igbaria A, et al. Proteome screens for Cys residues oxidation: the redoxome. Methods Enzymol. 2010;473:199–216. doi: 10.1016/S0076-6879(10)73010-X. [DOI] [PubMed] [Google Scholar]
  • 35.Marino SM, Li Y, Fomenko DE, et al. Characterization of surface-exposed reactive cysteine residues in Saccharomyces cerevisiae. Biochemistry. 2010;49:7709–7721. doi: 10.1021/bi100677a. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Sethuraman M, Clavreul N, Huang H, et al. Quantification of oxidative posttranslational modifications of cysteine thiols of p21ras associated with redox modulation of activity using isotope-coded affinity tags and mass spectrometry. Free Radic Biol Med. 2007;42:823–829. doi: 10.1016/j.freeradbiomed.2006.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Sethuraman M, McComb ME, Huang H, et al. Isotope-coded affinity tag (ICAT) approach to redox proteomics: identification and quantitation of oxidant-sensitive cysteine thiols in complex protein mixtures. J Proteome Res. 2004;3:1228–1233. doi: 10.1021/pr049887e. [DOI] [PubMed] [Google Scholar]
  • 38.Leichert LI, Gehrke F, Gudiseva HV, et al. Quantifying changes in the thiol redox proteome upon oxidative stress in vivo. Proc Natl Acad Sci U S A. 2008;105:8197–8202. doi: 10.1073/pnas.0707723105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Chouchani ET, James AM, Fearnley IM, et al. Proteomic approaches to the characterization of protein thiol modification. Curr Opin Chem Biol. 2011;15:120–128. doi: 10.1016/j.cbpa.2010.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Wisniewski JR, Ostasiewicz P, Mann M. High recovery FASP applied to the proteomic analysis of microdissected formalin fixed paraffin embedded cancer tissues retrieves known colon cancer markers. J Proteome Res. 2011;10:3040–3049. doi: 10.1021/pr200019m. [DOI] [PubMed] [Google Scholar]
  • 41.Wisniewski JR, Zielinska DF, Mann M. Comparison of ultrafiltration units for proteomic and N-glycoproteomic analysis by the filter-aided sample preparation method. Anal Biochem. 2011;410:307–309. doi: 10.1016/j.ab.2010.12.004. [DOI] [PubMed] [Google Scholar]
  • 42.Wisniewski JR, Zougman A, Mann M. Combination of FASP and Stage Tip-based fractionation allows in-depth analysis of the hippocampal membrane proteome. J Proteome Res. 2009;8:5674–5678. doi: 10.1021/pr900748n. [DOI] [PubMed] [Google Scholar]
  • 43.Wisniewski JR, Zougman A, Nagaraj N, et al. Universal sample preparation method for proteome analysis. Nat Methods. 2009;6:359–362. doi: 10.1038/nmeth.1322. [DOI] [PubMed] [Google Scholar]
  • 44.Houk J, Singh R, Whitesides GM. Measurement of thiol-disulfide interchange reactions and thiol pKa values. Methods Enzymol. 1987;143:129–140. doi: 10.1016/0076-6879(87)43023-1. [DOI] [PubMed] [Google Scholar]
  • 45.Lukesh JC, 3rd, Palte MJ, Raines RT. A potent, versatile disulfide-reducing agent from aspartic acid. J Am Chem Soc. 2012;134:4057–4059. doi: 10.1021/ja211931f. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Saville B. A scheme for the colorimetric determination of microgram amounts of thiols. Analyst. 1958;83:670–672. [Google Scholar]
  • 47.Keshive M, Singh S, Wishnok JS, et al. Kinetics of S-nitrosation of thiols in nitric oxide solutions. Chem Res Toxicol. 1996;9:988–993. doi: 10.1021/tx960036y. [DOI] [PubMed] [Google Scholar]
  • 48.Hobbs GA, Bonini MG, Gunawardena HP, et al. Glutathiolated Ras: characterization and implications for Ras activation. Free Radic Biol Med. 2013;57:221–229. doi: 10.1016/j.freeradbiomed.2012.10.531. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Williams JG, Pappu K, Campbell SL. Structural and biochemical studies of p21Ras S-nitrosylation and nitric oxide-mediated guanine nucleotide exchange. Proc Natl Acad Sci U S A. 2003;100:6376–6381. doi: 10.1073/pnas.1037299100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Yu Y, Xie L, Gunawardena HP, et al. GOFAST: an integrated approach for efficient and comprehensive membrane proteome analysis. Anal Chem. 2012;84:9008–9014. doi: 10.1021/ac300134e. [DOI] [PubMed] [Google Scholar]
  • 51.Ford E, Hughes MN, Wardman P. Kinetics of the reactions of nitrogen dioxide with glutathione, cysteine, and uric acid at physiological pH. Free Radic Biol Med. 2002;32:1314–1323. doi: 10.1016/s0891-5849(02)00850-x. [DOI] [PubMed] [Google Scholar]
  • 52.Raines KW, Bonini MG, Campbell SL. Nitric oxide cell signaling: S-nitrosation of Ras superfamily GTPases. Cardiovasc Res. 2007;75:229–239. doi: 10.1016/j.cardiores.2007.04.013. [DOI] [PubMed] [Google Scholar]
  • 53.Augusto O, Bonini MG, Amanso AM, et al. Nitrogen dioxide and carbonate radical anion: two emerging radicals in biology. Free Radic Biol Med. 2002;32:841–859. doi: 10.1016/s0891-5849(02)00786-4. [DOI] [PubMed] [Google Scholar]
  • 54.Keefer LK, Nims RW, Davies KM, et al. “NONOates” (1-substituted diazen-1-ium-1,2-diolates) as nitric oxide donors: convenient nitric oxide dosage forms. Methods Enzymol. 1996;268:281–293. doi: 10.1016/s0076-6879(96)68030-6. [DOI] [PubMed] [Google Scholar]
  • 55.Maragos CM, Morley D, Wink DA, et al. Complexes of •NO with nucleophiles as agents for the controlled biological release of nitric oxide. Vasorelaxant effects. J Med Chem. 1991;34:3242–3247. doi: 10.1021/jm00115a013. [DOI] [PubMed] [Google Scholar]
  • 56.Maragos CM, Wang JM, Hrabie JA, et al. Nitric oxide/nucleophile complexes inhibit the in vitro proliferation of A375 melanoma cells via nitric oxide release. Cancer Res. 1993;53:564–568. [PubMed] [Google Scholar]

RESOURCES