Relative Stability of Peptide Sequence Ions Generated by Tandem Mass Spectrometry

  • Benjamin J. Bythell
  • Christopher L. Hendrickson
  • Alan G. Marshall
Focus: MS/MS Peptide Identification: Research Article

Abstract

We report the use of unimolecular dissociation by infrared radiation for gaseous multiphoton energy transfer to determine relative activation energy (Ea,laser) for dissociation of peptide sequence ions. The sequence ions of interest are mass-isolated; the entire ion cloud is then irradiated with a continuous wave CO2 laser, and the first order rate constant, kd, is determined for each of a series of laser powers. Provided these conditions are met, a plot of the natural logarithm of kd versus the natural logarithm of laser power yields a straight line, whose slope provides a measure of Ea,laser. This method reproduces the Ea values from blackbody radiative dissociation (BIRD) for the comparatively large, singly and doubly protonated bradykinin ions (nominally y 9 and y 9 2+ ). The comparatively small sequence ion systems produce Ea,laser values that are systematic underestimates of theoretical barriers calculated with density functional theory (DFT). However, the relative Ea,laser values are in qualitative agreement with the mobile proton model and available theory. Additionally, novel protonated cyclic-dipeptide (diketopiperazine) fragmentation reactions are analyzed with DFT. FT-ICR MS provides access to sequence ions generated by electron capture dissociation, infrared multiphoton dissociation, and collisional activation methods (i.e., b n , y m , c n , z m ions).

Key words

Peptide fragmentation Ion structure IRMPD Fourier transform Ion cyclotron resonance ICR FT-ICR FTMS 

1 Introduction

Product ions formed by tandem mass spectrometry (MS/MS or MS2) provide the basis for peptide sequencing, sequence algorithms, and ion structure determination. Once formed, the most stable sequence-informative ions are most likely to be detected, and thus contribute to the sequence assignment of the peptide/protein under investigation. Conversely, labile sequence-informative ions are more likely to experience secondary fragmentation, so are less likely to be detected. Thus, it is important to establish the stability of MS/MS candidate sequence ions.

Gas-phase ion stability is ultimately determined by ion structure and the method of formation. Consequently, the gas-phase ion structures that make up each class of sequence-informative ion (i.e., b n , y m , c n , z m ions from an N-residue peptide in which N = n + m) coupled with the distribution of energies within the ion population determine which ions are detected and thus influence sequence assignment. Concomitant instrumental discrimination (activation and/or ionization method, reaction time scale, detection efficiency, etc.) also affects the resulting mass spectrum [1].

Ion structure has been investigated by IR “action” spectroscopy [2, 3, 4, 5, 6, 7], gas-phase hydrogen/deuterium exchange [8, 9, 10, 11], neutralization-reionization experiments [12], and theory [2, 3, 4, 5, 6, 7, 11, 12, 13]. These combined methods have improved our understanding of the ion structure(s) in a mass spectrometer. Precursor protonated peptides [14, 15, 16, 17], proteins [18], and sequence ions produced in collision-induced dissociation experiments [2, 3, 4, 5, 6, 7] have been investigated.

y m ions have been shown to behave indistinguishably from linear protonated peptides with the same sequence and charge state [9, 19, 20, 21], in agreement with theory [22, 23, 24]. Thus, the two kinds of ions have identical linear, protonated peptide structure and, therefore, identical gas-phase chemistry. This finding enables direct comparison between precursor protonated peptides (nominally y N ) and those y m ions generated in the MS2 experiment.

In contrast, the complementary b n and a n ions adopt quite different structures depending on the amino acid sequence, ion size (n), and fragmentation conditions [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]. Most small b n ions (n = 2, 3) have a five-membered oxazolone ring at the C-terminus [3, 5, 7, 11, 25], although some b 2 ions containing histidine, generated from non-tryptic peptides, are a mixture of protonated oxazolone and oxygen-protonated diketopiperazine structures (six-membered rings) [26]. Larger b n ions (n ≥ 4) show an increasing tendency (with n) to rearrange and adopt carbonyl-oxygen protonated macrocyclic structures in the gas phase [10, 13, 27, 28, 29]. a n Ions adopt a mixture of cyclic and linear forms [4, 6, 30]. Unlike product ions generated by collisional activation, electron capture/transfer dissociation product ions (c n and z m ) have received far less attention [31], presumably because of the difficulty in integrating those methods into existent instrumentation at free electron laser facilities. None of these useful methods provides any experimental determination of the energetic barrier to fragmentation of the analyte ion. In this work, we present preliminary measurements of the relative activation energy of gas-phase sequence ion unimolecular dissociation by infrared multiphoton energy transfer [32, 33], in an attempt to provide relative fragmentation barriers [32, 33, 34] for comparison with the putative ion structures and theory. Specifically, we seek to (1) determine if this technique is viable for sequence ions generated via CID, ECD, IRMPD, or any combination of those approaches; (2) establish if this approach is sensitive to ion type, charge state, and composition; (3) more narrowly, are predictable differences present within particular ion types [e.g., does the b 2 (YG oxazolone structure) ion have a lower Ea than the b 5 (YGGFL cyclic peptide structure from theory and experiment)? A higher Ea than the analogous YI b 2 ion?]; (4) to evaluate the correlation between the limited quantum calculations of sequence ion transition structures and the relative Ea values determined with this technique. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) [35, 36] provides the ultrahigh vacuum and stable trapping conditions necessary to perform these experiments. Moreover, our instrument is equipped for electron capture dissociation (ECD) [37], which enables investigation of c n and z m sequence ions.

2 Theory

Our approach is a modification of an earlier technique [32, 33], based on the work of Dunbar [38]. Dunbar showed that following a short induction period (<1 s), monochromatic infrared (IR) laser irradiation [with a continuous wave (CW) CO2 laser in this case] can closely approximate the effect of steady-state blackbody irradiation, especially if the molecule has a strongly absorbing vibrational mode near the laser frequency [39]. The approach relies on “bathing” the analyte ion cloud in photons continuously (Figure 1), to produce an internal energy distribution that is almost indistinguishable from a Boltzmann distribution [32, 33, 38, 39].
Figure 1

Top: Schematic presentation of the apparatus; bottom: ICR cell, showing trapping potentials and overlap between the analyte ion cloud and the infrared laser beam

Following analyte ion isolation [40, 41] in the ICR cell, the entire analyte ion cloud is irradiated with a continuous wave CO2 (10.6 μ) laser. The slope of a plot of loge(precursor ion mass spectral peak relative magnitude) versus irradiation period yields a unimolecular dissociation rate constant (kd) for each laser power. The slope of a plot of loge(kd) versus loge(laser power) provides a measure of relative activation energy, Ea,laser [32, 33, 38], required to fragment each analyte ion according to Equation (1):
$$ {{\text{E}}_{{{\text{a}},{\text{laser}}}}} = {\text{qh}}v\left( {\partial { \ln }\left( {{{\text{k}}_{\text{d}}}} \right)/\partial { \ln }\left( {{{\text{I}}_{\text{laser}}}} \right)} \right) $$
(1)
in which q is the partition function for the fundamental vibrational mode that absorbs the incoming radiation, h is Planck’s constant, v is the frequency of the normal mode absorbing the incoming radiation, and Ilaser is the laser power [38]. In practice, q is fixed at 1.05 for all Ea,laser calculations because over the expected range of internal energy (300–580 K), the partition function, q, for a single vibrational mode at 943.4 cm–1 varies between 1.01 and 1.1 [32, 33].

This technique is related to blackbody induced radiative dissociation (BIRD) [42, 43, 44], in which a vacuum heated to a specified temperature acts as a blackbody source of IR photons [45], in which the ion population equilibrates. This method has been applied successfully by the Dunbar, McMahon, and Williams groups to determine threshold energies of clusters [6, 42, 43, 46] and biomolecules [44, 47, 48] but not sequence ions.

Equation (1) has been found to underestimate the value of Ea [32, 34, 49]. For large systems (proteins), it was initially attributed to multiple modes absorbing photons from the laser (rather than a single mode) [32] and that the relative values were correct. Williams and co-workers [49] argued that this approximation, namely, laser-heated ions emit only at the laser frequency (943.4 cm–1 in this case), was the root cause of the underestimation; the emission in fact occurs over a wide frequency range. The model predicts that “unimolecular dissociation rate constants depend significantly on vibrational transitions not at the laser frequency” and proposes correction factors to the original equation [49]. Equation (2) illustrates the result that “does not depend on the absolute laser power” [49].
$$ {{\text{E}}_{{{\text{a}},{\text{laser}}}}}/{\text{s}}{{\text{k}}_{\text{B}}} = \left( {\partial { \ln }\left( {{{\text{k}}_{\text{d}}}} \right)/\partial { \ln }\left( {{{\text{I}}_{\text{laser}}}} \right)} \right) $$
(2)
in which kB is the Boltzmann constant and s is a proportionality factor that depends on the relative intensities of an analyte ion’s vibrational transitions. Furthermore, for a given class of analyte ion (polymer), the frequency and relative intensity distributions should change very little as the number of modes varies, so that s should be essentially the same for entire classes of molecules [49]. A value of 4.8 was determined for (skB)–1 from a selection of peptides and proteins (standard deviation was <4%) [49, 50]. Here we test to see if the same proportionality factor for (the comparatively small) sequence ions matches ab initio calculations (i.e., Equation (2) is used for all comparisons).

3 Experimental

3.1 Sample Preparation

Standard peptides were purchased from Sigma Aldrich (St. Louis, MO, USA) (RPPGFSPFR, AAAAA, and RPKPQQFFGLM-NH2) or American Peptide Company (Sunnyvale, CA) (YGGFL-NH2, YGGFLR, DSDPR, YIGSR, and GGYR), and used as received. We chose peptides for which structures of likely sequence ions had previously been investigated by spectroscopy, MS/MS, HDX, and/or theoretical calculations [e.g., YIGSR (b 2 , y 3 , y 5 2+ ), YGGFLR (b 2 , y 4 , y 6 2+ ), DSDPR (b 2 , b 3 , y 3 , y 5 2+ ), AAAAA (b 3 , b 4 , y 5 ), YGGFL-NH2 (b 5 )]. Prior experience and the literature [51, 52, 53] also guided our choices (cyclo-FL, Cyclo-WL, GGYR, YGGFL-NH2, RPPGFSPFR, and RPKPQQFFGLM-NH2). The experiments were performed with a custom-built 9.4 T ESI FT-ICR mass spectrometer recently described in detail [54]. Samples were infused into a tapered 50 μm i.d. fused silica micro-ESI needle [55, 56] at a rate of 300–500 nL min–1 at a concentration of ~10 μM. ESI conditions were needle voltage 2 kV and heated capillary current 4.0 A. 10 V was applied to the end cap and compensation electrodes of the ICR cell to minimize the axial extent of the ion cloud [57]. The analyte ions were isolated by stored waveform inverse Fourier transform (SWIFT) [40, 41] mass-selective ion ejection, and irradiated with a Synrad (Mukilteo, WA) CW CO2 laser (λ = 10.6 μm).

The laser is mounted off-axis (~3.5°) due to the need to accommodate an axially-mounted electron capture dissociation cathode [58]. The laser beam diameter was taken as the factory-reported value of 3.5 mm. To ensure complete irradiation of the ion cloud throughout the course of the experiment, the laser beam diameter was expanded to ~9 mm by means of a Synrad 2.5-fold beam expander (Mukilteo, WA, USA). Careful alignment produced linear plots of loge(precursor ion mass spectral peak relative magnitude) versus irradiation period, from which a unimolecular dissociation rate constant, kd, was determined for each of several laser intensities. Precursor ions of various m/z were completely eliminated under extended irradiation periods. Precursor ion mass spectral peak relative magnitude is defined as the ratio [precursor ion magnitude/(sum of precursor and fragment ion magnitudes)]. The fragment ion signal is used to correct for any fluctuation in ion current over the course of the experiment. Typical (uncorrected) base pressure for the instrument was ≤2 × 10–10 Torr, measured by a Bayard-Alpert ionization gauge.

Instrument control, data acquisition, and data analysis were carried out with a modular ICR data station [59]. Data acquisition was automated by use of a tool command language script [60]. A typical experiment (consisting of eight different irradiation periods for each of eight different laser intensities) was completed in ~3–5 h. Each time-domain ICR signal (sum of 20 transients) was Hanning apodized [61], zero-filled once [61], and Fourier transformed to generate a magnitude-mode spectrum that is converted to mass-to-charge ratio by a two-term calibration equation [62].

The b n and y m ions were generated by either quadrupole collision-induced dissociation (Q-CID) or (in-cell) infrared multiphoton dissociation (IRMPD) prior to isolation. No significant difference was found between the slopes obtained from the small sequence ions generated by these approaches, indicating that the analytes were equivalently cooled/thermalized during the ~0.25 s SWIFT isolation step prior to initiation of fragmentation. Consequently, either a single structure is formed or the structures formed by the two fragmentation techniques are energetically so similar as to make no measurable difference in Ea,laser. The conditions for generating the sequence ions with the laser were deliberately as gentle as possible (least laser power and shortest irradiation period), but sufficient to isolate the needed sequence ions for subsequent analysis.

As y m ions are known to be linear protonated peptides; additional protonated peptides, y N ions, were also examined for comparison. FT-ICR mass resolving power (~105 at m/z 400) and mass accuracy (<1 ppm) enabled confident identification of the stoichiometry of the products of dissociation generated by unimolecular dissociation (despite being far from optimal conditions). Electron capture dissociation was performed in multipass mode [63], with nominal electron energy of 0.5–5 eV (50–100 ms irradiation period). The 12 C peak was SWIFT-isolated prior to irradiation (i.e., no zm + 1 ions were inadvertently analyzed. A detailed summary of the events performed in each experiment is given provided below:

CID

Accumulate ions in first octopole; mass select precursor with quadrupole; transfer to second octopole to collide with collision gas; hold ions in second octopole (collisional cooling); transfer ions to the ICR cell; SWIFT isolate analyte m/z of choice; irradiate with CO2 laser for a period, t; excite ions to higher radius; detect.

IRMPD

Mass selective accumulation and cooling of ions in second octopole (i.e., by use of a mass-selective quadrupole); transfer ions to the ICR cell; irradiate ions for a short period; SWIFT isolate analyte m/z of choice; irradiate with CO2 laser for period, t; excite ions to higher radius; detect.

ECD

Mass-selectively accumulate and cool ions in second octopole (i.e., by use of a mass-selective quadrupole); transfer ions to the ICR cell; ECD; electron clean-up event; SWIFT isolate analyte m/z of choice; irradiate with CO2 laser for period, t; excite ions to higher radius; detect.

4 Calculations

4.1 Theoretical Calculations

Transition structures for the b 2 -a 2 reaction were calculated for the oxazolone b 2 ions with the sequences YG and YI (a 2 was the predominant and also first detected fragment ion). The initial minimum-energy structures were taken from earlier work [7, 11]. Due to the system size and considerable prior experience with these reactions, major molecular dynamics searches were not needed to generate the necessary candidate transition state (TS) geometries for subsequent TS optimization. Intrinsic reaction coordinate (IRC) calculations were run to identify the minimum energy path that connects the reactant and the product geometries, thereby ensuring that the structures are indeed the correct transition structures.

The b 5 -a 5 reaction was also calculated for the comparatively simple b 5 GGGGG sequence to provide a second point of comparison for the b 5 (YGGFL) sequence ion investigated experimentally. Unfortunately, calculating the full potential energy surface for this ion from scratch is impractical due to at least 20 types of minima (10 oxazolone minima families; 10 macrocycle minima families) and >15 types of TS calculation required (at least 10 cyclization/re-opening TS families; at least 5 b 5 -a 5 reaction families). Our calculations were therefore based on initial geometries generated directly from manipulation of structures taken from the literature [27]. Additional structures generated by manipulation of structures from reference [64] (i.e., replacement of the A, Y, F, and L side chains with a hydrogen atom) produced identical, or less energetically favorable TSs following optimization. The lack of side chains other than the hydrogen atom greatly simplifies these calculations. IRC calculations were again performed.

The protonated diketopiperazine (cyclo-LF and cyclo-WL dipeptide) b 2 ion structures were calculated from initial geometries generated directly by adaptation of similar sequences and structures taken from prior work [7, 11]. Multiple conformers were optimized for the b 2 ion minima, transition structures, and product geometries. Prior experience guided selection of critical bond lengths and angles before TS optimization. The number of possible conformations is limited by the comparatively rigid six-membered ring and the bulk of the peptide side chains, significantly simplifying these calculations and rendering molecular dynamics unnecessary. IRC calculations were again run. Transition structure barriers determined for the cyclic-b 2 -a 2 reaction were consistent with prior unpublished work on other cyclic dipeptide systems (Bythell, Paizs, Harrison, unpublished work).

Multiple conformers of the z 2 (LR) ion minima were optimized. Transition structures for the loss of C3H7 with concomitant formation of the w2 ion were calculated. IRC calculations were again run. All calculations were undertaken by use of density functional theory (DFT) at the B3LYP/6-31 + g** level of theory, with zero-point energy corrections calculated at the same level of theory. The Gaussian suite of programs was used for all calculations [65]. The results are used in conjunction with literature values (calculated at the same level of theory) for comparison to experimental Ea,laser values.

5 Results and Discussion

The slope of a plot of loge(precursor ion mass spectral peak relative magnitude) versus irradiation period provides a unimolecular dissociation rate constant (kd) for each laser power [illustrated for a y 3 + ion (sequence, GSR) in Figure 2]. The slope of a plot of loge(kd) versus loge(laser power) is also linear [illustrated for y 5 2+ (YIGSR), b 2 (YI), and y 3 (GSR) in Figure 3]. The relative Ea,laser values (and uncertainties) determined from Equation (2) and the pertinent slopes of a loge(kd) versus loge(laser power) plots are listed in Table 1. The barriers determined for singly and doubly protonated RPPGFSPFR are consistent with the earlier laser dissociation work of Williams and coworkers [49, 50]; 1.4 ± 0.15 versus 1.3; 0.93 ± 0.06 versus 0.9 (values in eV for direct comparison, 1 eV = 97 kJ mol–1). These barriers are the same (within experimental uncertainties) as those determined by BIRD [48] for the same ions.
Figure 2

Semilog plot of y 3 + precursor ion (sequence, GSR) relative magnitude versus IR laser irradiation period for each of several laser powers

Figure 3

Log-log plot of dissociation constant versus laser power, for each of three precursor peptide ions

Table 1

Summary of Experimental and Calculated (where available) Ea,laser Values a: Reference [66]; b: Reference [64] for YAGFL-NH2, b 5 , and this Work; c: Reference [71]; d: Reference [11]. The Error from the Slope (± kJ mol–1 at the 95% Confidence Limit) is Indicated Following each Ea,laser Value. Calc. Barrier values in parentheses are for analyte ions with similar sequence (YAGFL)

 

Peptide

Sequence Ion

Degrees of Freedom

Ea,laser/kJ mol–1

R2

Calc. Barrier/kJ mo–1

b n ions

 

[YIGSR + 2H]2+

b 2

117

75.2 ±6.2

0.993

130.1

 

[YGGFLR + 2H]2+

b 2

81

89.1 ±11.6

0.986

144.3

 

[DSDPR + 2H]2+

b 3

111

72.0 ±7.2

0.990

-

 

[AAAAA + H]+

b 3

87

66.1 ±4.8

0.995

132.6a

 

[AAAAA + H]+

b 4

117

76.0 ±7.8

0.990

126.8a

Cyclic-b n ions

 

[cyclo-(FL) + H]+

cyclo-b 2

114

136.6 ± 16.8

0.989

212.2

 

[cyclo-(LW) + H]+

cyclo-b 2

126

119.9 ± 17.0

0.985

169.7

 

[YGGFL-NH2 + H]+

b 5

219

120.3 ±17.0

0.980

(152.7)b

y m ions

 

[GGYR + 2H]2+

y 2

138

152.2 ±24.1

0.979

-

 

[DSDPR + 2H]2+

y 2

117

136.2 ±4.7

0.999

-

 

[YIGSR + 2H]2+

y 3

132

119.7 ±17.3

0.982

-

 

[AAAAA + H]+

y 5

156

97.1 ±7.1

0.995

135.6c

 

[YGGFL-NH2 + H]+

y 5 amide

231

93.2 ±11.2

0.993

(141.0)b

 

[RPPGFSPFR + H]+

y 9

447

137.5 ±14.2

0.993

-

y m 2+ ions

 

[GGYR + 2H]2+

y 4 2+

183

114.5 ±10.7

0.991

-

 

[YIGSR + 2H]2+

y 5 2+

252

88.4 ±6.2

0.993

132.6d

 

[DSDPR + 2H]2+

y 5 2+

234

87.0 ±5.2

0.993

-

 

[YGGFLR + 2H]2+

y 6 2+

300

122.0 ±10.4

0.991

-

 

[RPPGFSPFR + 2H]2+

y 9 2+

450

90.7 ±5.9

0.993

-

c n ions

 

[RPPGFSPFR + 2H]2+

c 4

183

149.3 ±17.3

0.987

-

 

[RPKPQQFFGLM-NH2 + 2H]2+

c 4

213

82.8 ±6.6

0.994

-

 

[RPKPQQFFGLM-NH2 + 2H]2+

c 5

264

95.5 ±11.3

0.986

-

 

[RPKPQQFFGLM-NH2 + 2H]2+

c 6

324

105.8 ±12.4

0.989

-

z m ions

 

[YGGFLR + 2H]2+

z 2

123

52.7 ±6.9

0.987

99.1

 

[RPKPQQFFGLM-NH2 + 2H]2+

z 9

462

71.2 ±9.2

0.984

-

In the following, we initially discuss the results for the different classes of sequence ions. A more general discussion of the underestimation of Ea,laser in comparison to the DFT calculations and its potential causes follows.

5.1 CID Fragments

b n Ions

Of the six b n ions examined to date, five are linear b n ions (n = 2–4) [3, 7, 11, 66] and one is a macrocyclic b 5 ion [27, 64]. A guide to b n sequence ion fragmentation is provided in Scheme 1. Our calculations for the b 2 -a 2 fragmentation barrier for the oxazolone b 2 ion structure, supported by spectroscopy [7], theory [7, 11], and gas-phase hydrogen-deuterium exchange [11] experiments, produce theoretical barriers (ΔEel+ZPE) of 130.1 kJ mol–1 and 144.3 kJ mol–1 for the YI and YG sequences, reflecting the increased stabilization of the YI b 2 -a 2 transition structure provided by the charge-donating isoleucine alkyl side chain, as opposed to the H atom of the YG analogue. An increasingly stabilized transition structure corresponds to a smaller barrier to fragmentation, thus a less stable ion.
Scheme 1

(a) Summary of b n -a n fragmentation chemistry of small protonated oxazolone b n ions; (b) Summary of b n -a n fragmentation chemistry of larger protonated oxazolone b n ions (n ≥ 5)

Our experimental data reproduce the order of relative activation energies, but with Ea,laser values of 75.2 ± 6.2 and 89.1 ± 11.6 kJ mol–1 (Table 1), with overlapping 95% confidence intervals. The experimental values of 66.1 ± 4.8 and 76.0 ± 7.8 for the linear b 3 and b 4 (AAA and AAAA oxazolone) ions are similar to the b 2 ion experimental barriers, consistent with similar structure. The remaining b 3 ion (linear DSD sequence) also falls in that experimental range. Theory predicts [13, 27, 64] that these smaller, linear ions are able to fragment directly or at least with very minimal proton mobilization, whereas the energetically more stable macrocyclic b 5 ion requires major structural rearrangement to regenerate a linear form from which it can fragment (Scheme 1). Such structural rearrangements require energy [13, 27, 64], which is consequently reflected in higher measured Ea, laser, the b 5 -a 5 TSs calculated by Paizs and co-authors [64] for the linear permutations of the similar YAGFL sequence that ranged from 152.7 to 188.3 kJ mol–1 with the AGFLY b 5 sequence providing the lowest barrier. That result is consistent with the logic of the largest charge-donating R group (tyrosine) providing additional stabilization to the b 2 -a 2 transition structure. For comparison, calculations for the b 5 -a 5 TS of the much simpler sequence, GGGGG, gave a barrier of 177.8 kJ mol–1. A barrier closer to that of the YAGFL sequence would be expected for our YGGFL b 5 ion sequence.

The experimental value of 120.3 ±17.0 kJ mol–1 (b 5 initial sequence, YGGFL) is clearly distinct from the oxazolone b n ions and, thus, generally agrees with the mechanistic proposal and theory (Scheme 1). To test this hypothesis further, we examined two smaller cyclic peptides experimentally and with density functional calculations. These protonated diketopiperazines [20]; protonated cyclo-FL and cyclo-WL are potential b 2 ions [52]. These ions are most energetically favorably protonated at the amide oxygen of the phenylalanine and tryptophan residues respectively (Scheme 2 for the protonated cyclo-FL, Scheme 3 for the protonated cyclo-WL). For cyclo-FL, the lowest energy fragmentation is loss of CO, the b 2 -a 2 pathway. The lowest energy pathway to this reaction is complicated and involves several proton transfers, rotational barriers, and transition structures of similar energy (Scheme 2). This produces the comparatively large theoretical barrier of 212.2 kJ mol–1. The alternative pathway involves a direct four-center proton transfer [22, 23, 67] from the global minimum phenylalanine O-protonated structure to the adjacent leucine amide nitrogen to weaken the amide bond, thereby enabling subsequent amide bond cleavage and CO expulsion (Scheme S1, Supporting Information). This proton transfer barrier (226.5 kJ mol–1 for protonated cyclo-FL; 230.3 kJ mol–1 for protonated cyclo-WL) is rate-limiting for the b 2 -a 2 reaction as the barrier is much higher than that of the subsequent amide bond cleavage (170.5 kJ mol–1 for protonated cyclo-FL; 177.7 kJ mol–1 for protonated cyclo-WL). That proton transfer barrier prevents this pathway (Scheme S1) from being competitive with the more complicated one (Scheme 2).
Scheme 2

The most energetically favorable, protonated diketopiperazine (cyclo-FL) fragmentation pathway; the b 2 -a 2 reaction

Scheme 3

The most energetically favorable, protonated diketopiperazine (cyclo-LW) fragmentation pathway; loss of the W side-chain to produce m/z 130.0651

Experimentally, the protonated cyclo-FL ion produces a concomitantly large Ea,laser value of 136.6 ± 16.8 kJ mol–1. In contrast, the protonated cyclo-WL ion is able to fragment via a still energetically demanding, but lower energy residue-specific side-chain loss reaction (m/z 130.0651; C9H8N+) from the tryptophan residue (Scheme 3). This reaction comes with a concomitantly lower experimental Ea,laser value of 119.9 ± 17.0 kJ mol–1.

This significant energy difference for two very similar sequence ion structures illustrates the practical difficulty in making general statements of the “ion type 1 always has barriers of x kcal mol–1” variety. Seemingly small structural changes can have a large impact on the Ea for fragmentation both in terms of barriers for individual reactions (e.g., b n -a n ) and in terms of how competitive different fragmentation pathways are. Obviously, any comparison with theory has to be with the energetically lowest barrier to be worthwhile.

y m Ions

Singly protonated y m ions containing one or more strongly basic arginine residues may be distinguished from those lacking a strongly basic residue (i.e., y m ions with sequestered ionizing protons versus y m ions with comparatively “mobile” protons [51, 68, 69]). Recent theoretical work shows clear energetic, mechanistic [67, 69], and dynamic [69, 70] differences between those two broad classes. Our experimental data support the “mobile proton model” [51, 68] rationale that more energy is necessary to fragment arginine-containing ym ions than those lacking arginine (Ea,laser 119.7–152.2 versus 93.2–97.1 kJ mol–1). Although presence or absence of arginine does not solely determine y m ion fragmentation threshold [e.g., water loss from serine in the y 3 ion, (GSR + H)+ is the most facile fragmentation pathway], our findings agree with Paizs and Suhai [71], who calculated the lowest fragmentation pathway of [A5 + H]+ (y 5 ) to require at least 135.6 kJ mol–1 (experimental Ea,laser = 97.1 ± 7.1 kJ mol–1). In contrast, calculations for [GnR + H]+ ions [69] indicate barriers of ≥161.9 kJ mol–1 to cleave amide bonds. In agreement with proton mobility arguments, the doubly protonated y m 2+ ions have generally lower relative Ea,laser, 87.0–122.0 kJ mol–1 than the y m ions, consistent with the theoretical barrier calculated for [YIGSR + 2H]2+ of 132.6 kJ mol–1 [11] (Ea,laser, 88.4 ± 6.2 kJ mol–1).

5.2 ECD Fragments

The potential utility and the inherent complications of applying this approach to ions formed via ECD (or ETD) ions will require further investigation.

c n and z m Ions

The present c n ions were compositionally similar, each having an N-terminal arginine residue and other basic residues (K, P). Although one would thus expect larger relative Ea,laser values with presumably similar structures and fragmentation chemistries, the present results span a comparatively wide range (82.8–149.3 kJ mol–1), i.e., approaching the entire range spanned by all other Ea,laser values. Thus, significant structural or residue specific chemistries may be involved. The problem is potentially complicated further by the issue of cooling of these ions in the ICR cell which at present has not been investigated in any detail (unlike the CID/IRMPD generated fragments). Comparisons with ECD/ETD generated and then collisionally cooled ions are planned. Additional experimental and theoretical data should help elucidate the reason(s).

Our current z m ion data are confined to two systems: z 9 from ECD of [RPKPQQFFGLM-NH2 + 2H]2+ and z 2 from ECD of [YGGFLR + 2H]2+. Their Ea,laser values (52.7 ± 6.9 and 71.2 ± 9.2 kJ mol–1) are among the lowest obtained despite the presence of a basic residue in each case (K and R), potentially because of the open-shell nature of the radical cations enabling relatively facile electron movement and, therefore, lower bond cleavage barriers [72, 73, 74]. For example, radical initiated fragmentation from a radical cation is often substantially more feasible energetically than proton mobilization followed by fragmentation from a compositionally equivalent closed-shell system (with the same caveats as the preceding paragraph). This contention is supported by the calculated barrier for side-chain fragmentation of the z 2 ion; transition structures for the loss of C3H7 with concomitant formation of the w 2 ion (Scheme S2, Supporting Information) are the lowest calculated thus far at 99.1 kJ mol–1.

5.3 Comparison of Sequence Ion Ea,laser with Density Functional Theory

Equation (2) yields activation energies that are systematically lower than the DFT calculated barriers. A plot of experimental barrier versus DFT barrier using those data points for which we have a direct (DFT) barrier produces a R2 value of 0.88. Forcing the intercept through zero reduces R2 to 0.75 and yields a slope of 1.57. Ergo, a smaller value of (skB)–1 is necessary to fit the experimental data to the calculated barriers from denisty functional theory; approximately 3, rather than 4.8.

Why does the present approach for the comparatively small systems investigated underestimate the values from theory? This is potentially due to one of, or a combination of several reasons. Williams notes that the laser produces a distribution slightly narrower than a Boltzmann internal energy distribution of temperature, T [49, 50]. The disparity is a little larger at higher laser power, and rate constants for a given laser power are progressively larger than they should be. This underestimation of the laser power necessary to bring molecules to an “effective” temperature T will result in an underestimation of the activation energy. The practical problem remains that estimation depends on the individual analyte and its rate of energy exchange [49].

A second source of the underestimation relative to Equation (2) is probably the decreased ability of smaller systems with less degrees of freedom to fully meet one of the assumptions inherent in Equation (2), namely, that the net absorption of the steady-state dissociating ion population is zero [49]. That assumption is valid in the rapid energy exchange limit, in which the rates of activation/deactivation are substantially greater than the rate of dissociation [49, 75]. Peptides have been described as having increased “brightness” in the IR and, thus, greater rates of energy exchange than other types of molecule [76], enabling fewer degrees of freedom (by a factor of ≥3) for the rapid exchange limit to be accessed. Nevertheless, barriers are lower than from DFT theory, so some of the underestimation results from all/some of the ions not satisfying the rapid exchange limit. However, we have no obvious degrees of freedom effect for our data, so either it is a sample size issue, or the underestimation is fairly similar, or something else is responsible.

A third possible factor is the question of how effectively the DFT calculations agree with BIRD [i.e., the standard to which current fragmentation barriers (experimental and theoretical) for larger ions are compared]. A different yardstick is potentially necessary for DFT, but not easy to test, because most of the peptide systems studied with BIRD are enormous from a DFT calculation point of view. Anecdotally, BIRD provides the [YGGFL + H]+ barrier as 106.7 kJ mol–1 [48], which is substantially lower than barriers determined for the fragmentation of [AAAPA + H]+ by DFT (115.9 kJ mol–1 [77] (same level of theory as used here) and the lowest barrier available in the literature for such calculations). That P-containing peptide has a well-established low barrier residue specific bond cleavage (for comparison [AAAAA + H]+ is 135.6 kJ mol–1 [71]) unlike YGGFL, but the barrier is still higher than that from BIRD. In contrast, recent guided ion beam studies are in good agreement with DFT theory [78, 79] but, again, for comparatively small systems. Bottom line: this issue is too complex to be resolved (or even discussed at length) in the present paper.

6 Practical Experimental Limitations

In the present instrument, the analyte ions and, consequently, the range of accessible relative activation energies is limited by the available laser power. Not all analyte ions examined could be fragmented to a sufficient extent in a reasonably available time. The most problematic analyte ions were medium-sized singly charged y m ions with arginine at the C-terminus (e.g., y 4 sequences GGYR and GFLR). Those ions likely require more energy to fragment due to the lack of easily mobilizable protons [51, 68]. A minimum precursor ion signal-to-noise (S/N) ratio of approximately 100 following SWIFT isolation is desirable; greater S/N increases confidence and reduces the need for signal averaging.

7 Conclusions

Measurement of the relative activation energy for gas-phase peptide sequence ion unimolecular dissociation by infrared radiation for gaseous multiphoton energy transfer provides a useful guide to relative fragmentation thresholds in a collision-free environment. In its present implementation, the approach provides relative Ea, laser values for sequence ions generated by collisional-activated dissociation, IRMPD, and possibly ECD. Although not quantitative (consistently lower threshold energy than theoretical predictions), the current data agree qualitatively with the mobile proton model [51, 68] and its logical extrapolation to sequence ions.

Comparisons within ion types for which the likely range of absorption modes are most similar show differences based on charge state and constituent amino acids for y m and c n ions, and on structure for b n ions. Preliminary Ea, laser values for z m ions are low, possibly reflecting the comparative instability of open-shell radical cations. Additional experimental and theoretical work will establish the generality of these findings.

Notes

Acknowledgments

This work was supported by NSF Division of Materials Research through DMR-06-54118, and the State of Florida. All calculations were performed at the Florida State University shared High-Performance Computing facility.

Supplementary material

13361_2012_357_MOESM1_ESM.ppt (94 kb)
ESM 1 (PPT 93 kb)
13361_2012_357_MOESM2_ESM.ppt (90 kb)
ESM 2 (PPT 89 kb)
13361_2012_357_MOESM3_ESM.docx (37 kb)
ESM 3 (DOCX 37 kb)

References

  1. 1.
    McLuckey, S.A.: Principles of collisional activation in analytical mass spectrometry. J. Am. Soc. Mass Spectrom. 3, 599–614 (1992)CrossRefGoogle Scholar
  2. 2.
    Polfer, N.C., Oomens, J., Suhai, S., Paizs, B.: Spectroscopic and theoretical evidence for oxazolone ring formation in collision-induced dissociation of peptides. J. Am. Chem. Soc. 127, 17154–17155 (2005)CrossRefGoogle Scholar
  3. 3.
    Oomens, J., Young, S., Molesworth, S., van Stipdonk, M.: Spectroscopic evidence for an oxazolone structure of the b2 fragment ion from protonated tri-alanine. J. Am. Soc. Mass Spectrom. 20, 334–339 (2009)CrossRefGoogle Scholar
  4. 4.
    Verkerk, U.H., Siu, C.-K., Steill, J.D., El Aribi, H., Zhao, J., Rodriquez, C.F., Oomens, J., Hopkinson, A.C., Siu, K.W.M.: a2 ion derived from triglycine: An N1-protonated 4-imidazolidinone. J. Phys. Chem. Lett. 1, 868–872 (2010)CrossRefGoogle Scholar
  5. 5.
    Yoon, S.H., Chamot-Rooke, J., Perkins, B.R., Hilderbrand, A.E., Poutsma, J.C., Wysocki, V.H.: IRMPD spectroscopy shows that agg forms an oxazolone b2+ ion. J. Am. Chem. Soc. 130, 17644–17645 (2008)CrossRefGoogle Scholar
  6. 6.
    Bythell, B.J., Maitre, P., Paizs, B.: Cyclization and rearrangement reactions of an fragment ions of protonated peptides. J. Am. Chem. Soc. 132, 14766–14779 (2010)CrossRefGoogle Scholar
  7. 7.
    Bythell, B.J., Erlekam, U., Paizs, B., Maitre, P.: Infrared spectroscopy of fragments from doubly protonated tryptic peptides. Chem. Phys. Chem. 10, 883–885 (2009)CrossRefGoogle Scholar
  8. 8.
    Somogyi, A.: Probing peptide fragment ion structures by combining sustained off-resonance collision-induced dissociation and gas-phase H/D exchange (SORI-HDX) in fourier transform ion-cyclotron resonance (FT-ICR) instruments. J. Am. Soc. Mass Spectrom. 19, 1771–1775 (2008)CrossRefGoogle Scholar
  9. 9.
    Reid, G.E., Simpson, R.J., O'Hair, R.A.J.: Gas phase ion chemistry of biomolecules. 17. Probing the fragmentation reactions of protonated glycine oligomers via multistage mass spectrometry and gas phase ion molecule hydrogen/deuterium exchange. Int. J. Mass Spectrom. 190/191, 209–230 (1999)CrossRefGoogle Scholar
  10. 10.
    Fattahi, A., Zekavat, B., Solouki, T.: H/D exchange kinetics: Experimental evidence for formation of different b fragment ion conformers/isomers during the gas-phase peptide sequencing. J. Am. Soc. Mass Spectrom. 21, 358–369 (2010)CrossRefGoogle Scholar
  11. 11.
    Bythell, B.J., Somogyi, A., Paizs, B.: What is the structure of b2 ions generated from doubly protonated tryptic peptides? J. Am. Soc. Mass Spectrom. 20, 618–624 (2009)CrossRefGoogle Scholar
  12. 12.
    Chen, X., Turecek, F.: Simple b ions have cyclic oxazolone structures. A neutralization-reionization mass spectrometric and computational study of oxazolone radicals. J. Am. Soc. Mass Spectrom. 16, 1941–1956 (2005)CrossRefGoogle Scholar
  13. 13.
    Bythell, B.J., Knapp-Mohammady, M., Paizs, B., Harrison, A.G.: Effect of the his residue on the cyclization of b ions. J. Am. Soc. Mass Spectrom. 21, 1352–1363 (2010)CrossRefGoogle Scholar
  14. 14.
    Prell, J.S., O'Brien, J.T., Steill, J.D., Oomens, J., Williams, E.R.: Structures of protonated dipeptides: The role of arginine in stabilizing salt bridges. J. Am. Chem. Soc. 131, 11442–11449 (2009)CrossRefGoogle Scholar
  15. 15.
    Compagnon, I., Oomens, J., Meijer, G., Von Helden, G.: Mid-infrared spectroscopy of protected peptides in the gas phase: A probe of the backbone conformation. J. Am. Chem. Soc. 128, 3592–3597 (2006)CrossRefGoogle Scholar
  16. 16.
    Correia, C.F., Balaj, P.O., Scuderi, D., Maitre, P., Ohanessian, G.: Vibrational signatures of protonated, phosphorylated amino acids in the gas phase. J. Am. Chem. Soc. 130, 3359–3370 (2008)CrossRefGoogle Scholar
  17. 17.
    Stearns, J.A., Boyarkin, O.V., Rizzo, T.R.: Spectroscopic signatures of gas-phase helices: Ac-Phe-(Ala)5-Lys-H + and Ac-Phe-(Ala)10-Lys-H+. J. Am. Chem. Soc. 129, 13820–13821 (2007)CrossRefGoogle Scholar
  18. 18.
    Oomens, J., Polfer, N., Moore, D.T., Marshall, A.G., Eyler, J.R., Meijer, G., von Helden, G.: Charge-state resolved mid-infrared spectroscopy of a gas-phase protein. Phys. Chem. Chem. Phys. 7, 1345–1348 (2005)CrossRefGoogle Scholar
  19. 19.
    Mueller, D.R., Eckersley, M., Richter, W.: Hydrogen transfer reactions in the formation of “Y + 2” sequence ions from protonated peptides. Org. Mass Spectrom. 23, 217–222 (1988)CrossRefGoogle Scholar
  20. 20.
    Cordero, M.M., Houser, J.J., Wesdemiotis, C.: Neutral products formed during backbone fragmentations of protonated peptides in tandem mass spectrometry. Anal. Chem. 65, 1594–1601 (1993)CrossRefGoogle Scholar
  21. 21.
    Nold, M.J., Cerda, B.A., Wesdemiotis, C.: Proton affinities of the N- and C-terminal segments arising upon the dissociation of the amide bond in protonated peptides. J. Am. Soc. Mass Spectrom. 10, 1–8 (1999)CrossRefGoogle Scholar
  22. 22.
    Paizs, B., Csonka, I.P., Lendvay, G., Suhai, S.: Proton mobility in protonated glycylglycine and N-formylglycylglycinamide: a combined quantum chemical and RKKM study. Rapid Commun. Mass Spectrom. 15, 637–650 (2001)CrossRefGoogle Scholar
  23. 23.
    Paizs, B., Suhai, S.: Combined quantum chemical and RRKM modeling of the main fragmentation pathways of protonated GGG. II. Formation of b2, y1, and y2 ions. Rapid Commun. Mass Spectrom. 16, 375–389 (2002)CrossRefGoogle Scholar
  24. 24.
    Rodriquez, C.F., Cunje, A., Shoeib, T., Chu, I.K., Hopkinson, A.C., Siu, K.W.M.: Proton migration and tautomerism in protonated triglycine. J. Am. Chem. Soc. 123, 3006–3012 (2001)CrossRefGoogle Scholar
  25. 25.
    Harrison, A.G.: To b or not to b: The ongoing saga of peptide b ions. Mass Spectrom. Rev. 28, 640–654 (2009)CrossRefGoogle Scholar
  26. 26.
    Perkins, B.R., Chamot-Rooke, J., Yoon, S.H., Gucinski, A.C., Somogyi, A., Wysocki, V.H.: Evidence of diketopiperazine and oxazolone structures for HA b2+ ion. J. Am. Chem. Soc. 131, 17528–17529 (2009)CrossRefGoogle Scholar
  27. 27.
    Erlekam, U., Bythell, B.J., Scuderi, D., Van Stipdonk, M., Paizs, B., Maitre, P.: Infrared spectroscopy of fragments of protonated peptides: Direct evidence for macrocyclic structures of b5 ions. J. Am. Chem. Soc. 131, 11503–11508 (2009)CrossRefGoogle Scholar
  28. 28.
    Chen, X., Yu, L., Steill, J.D., Oomens, J., Polfer, N.C.: Effect of peptide fragment size on the propensity of cyclization in collision-induced dissociation: Oligoglycine b2-b8. J. Am. Chem. Soc. 131, 18272–18282 (2009)CrossRefGoogle Scholar
  29. 29.
    Molesworth, S., Osburn, S., Van Stipdonk, M.: Influence of size on apparent scrambling of sequence during CID of b-Type Ions. J Am. Soc. Mass Spectrom. 20, 2174–2181 (2009)CrossRefGoogle Scholar
  30. 30.
    Bythell, B.J., Molesworth, S., Osburn, S., Cooper, T., Paizs, B., Van Stipdonk, M.: Structure and reactivity of an and an* peptide fragments investigated using isotope labeling, tandem mass spectrometry, and density functional theory calculations. J Am. Soc. Mass Spectrom. 19, 1788–1798 (2008)CrossRefGoogle Scholar
  31. 31.
    Frison, G., van der Rest, G., Turecek, F., Besson, T., Lemaire, J., Maitre, P., Chamot-Rooke, J.: Structure of electron-capture dissociation fragments from charge-tagged peptides probed by tunable infrared multiple photon dissociation. J. Am. Chem. Soc. 130, 14916–14917 (2008)CrossRefGoogle Scholar
  32. 32.
    Freitas, M.A., Hendrickson, C.L., Marshall, A.G.: Determination of relative ordering of activation energy for gas-phase ion unimolecular dissociation by multiphoton infrared irradiation. J. Am. Chem. Soc. 122, 7768–7775 (2000)CrossRefGoogle Scholar
  33. 33.
    Freitas, M.A., Hendrickson, C.L., Marshall, A.G.: Gas phase activation energy for unimolecular dissociation of biomolecular ions determined by focused radiation for gaseous multiphoton energy transfer (FRAGMENT). Rapid Commun. Mass Spectrom. 13, 1639–1642 (1999)CrossRefGoogle Scholar
  34. 34.
    Schäfer, M., Drayss, M.K., Blunk, D., Purcell, J.M., Hendrickson, C.L., Marshall, A.G., Mookherjee, A., Armentrout, P.B.: Kinetic determination of potassium affinities by IRMPD: Elucidation of precursor ion structures. J. Phys. Chem. A 113, 7779–7783 (2009)CrossRefGoogle Scholar
  35. 35.
    Comisarow, M.B., Marshall, A.G.: Fourier transform ion cyclotron resonance spectroscopy. Chem. Phys. Lett. 25, 282–283 (1974)CrossRefGoogle Scholar
  36. 36.
    Marshall, A.G., Hendrickson, C.L., Jackson, G.S.: Fourier transform ion cyclotron resonance mass spectrometry: A primer. Mass Spectrom. Rev. 17, 1–35 (1998)CrossRefGoogle Scholar
  37. 37.
    Zubarev, R.A., Kelleher, N.L., McLafferty, F.W.: Electron capture dissociation of multiply charged protein cations. A nonergodic process. J. Am. Chem. Soc. 120, 3265–3266 (1998)CrossRefGoogle Scholar
  38. 38.
    Dunbar, R.C.: Kinetics of low-intensity infrared laser photodissociation. The thermal model and application of the Tolman theorem. J. Chem. Phys. 95, 2537–2548 (1991)CrossRefGoogle Scholar
  39. 39.
    Dunbar, R.C., Zaniewski, R.C.: Infrared multiphoton dissociation of styrene ions by low-power continuous carbon dioxide laser irradiation. J. Chem. Phys. 96, 5069–5075 (1992)CrossRefGoogle Scholar
  40. 40.
    Marshall, A.G., Wang, T.-C.L., Ricca, T.L.: Tailored excitation for fourier transform ion cyclotron resonance mass spectrometry. J. Am. Chem. Soc. 107, 7893–7897 (1985)CrossRefGoogle Scholar
  41. 41.
    Guan, S.H., Marshall, A.G.: Stored waveform inverse Fourier transform (SWIFT) ion excitation in trapped-ion mass spectrometry: theory and applications. Int. J. Mass Spectrom. Ion Processes 158, 5–37 (1996)CrossRefGoogle Scholar
  42. 42.
    Thoelmann, D., Tonner, D.S., McMahon, T.B.: Spontaneous unimolecular dissociation of small cluster ions, (H3O+)Ln and Cl-(H2O)n (n = 2–4), under Fourier transform ion cyclotron resonance conditions. J. Phys. Chem. 98, 2002–2004 (1994)CrossRefGoogle Scholar
  43. 43.
    Dunbar, R.C., McMahon, T.B., Thoelmann, D., Tonner, D.S., Salahub, D.R., Wei, D.: Zero-pressure thermal-radiation-induced dissociation of gas-phase cluster ions: Comparison of theory and experiment for (H2O)2Cl and (H2O)3Cl. J. Am. Chem. Soc. 117, 12819–12825 (1995)CrossRefGoogle Scholar
  44. 44.
    Price, W.D., Schnier, P.D., Williams, E.R.: Tandem mass spectrometry of large biomolecule ions by blackbody infrared radiative dissociation. Anal. Chem. 68, 859–866 (1996)CrossRefGoogle Scholar
  45. 45.
    Dunbar, R.C., McMahon, T.B.: Activation of unimolecular reactions by ambient blackbody radiation. Science 279, 194–197 (1998)CrossRefGoogle Scholar
  46. 46.
    Rodriguez-Cruz, S.E., Jockusch, R.A., Williams, E.R.: Hydration energies of divalent metal ions, Ca2+(H2O)n (n = 5–7) and Ni2+(H2O)n (n = 6–8), obtained by blackbody infrared radiative dissociation. J. Am. Chem. Soc. 120, 5842–5843 (1998)CrossRefGoogle Scholar
  47. 47.
    Jockusch, R.A., Schnier, P.D., Price, W.D., Strittmatter, E.F., Demirev, P.A., Williams, E.R.: Effects of charge state on fragmentation pathways, dynamics, and activation energies of ubiquitin ions measured by blackbody infrared radiative dissociation. Anal. Chem. 69, 1119–1126 (1997)CrossRefGoogle Scholar
  48. 48.
    Schnier, P.D., Price, W.D., Jockusch, R.A., Williams, E.R.: Blackbody infrared radiative dissociation of bradykinin and its analogs: Energetics, dynamics, and evidence for salt-bridge structures in the gas phase. J. Am. Chem. Soc. 118, 7178–7189 (1996)CrossRefGoogle Scholar
  49. 49.
    Paech, K., Jockusch, R.A., Williams, E.R.: Slow infrared laser dissociation of molecules in the rapid energy exchange limit. J. Phys. Chem. A 106, 9761–9766 (2002)CrossRefGoogle Scholar
  50. 50.
    Jockusch, R.A., Paech, K., Williams, E.R.: Energetics from slow infrared multiphoton dissociation of biomolecules. J. Phys. Chem. A 104, 3188–3196 (2000)CrossRefGoogle Scholar
  51. 51.
    Wysocki, V.H., Tsaprailis, G., Smith, L.L., Breci, L.A.: Mobile and localized protons: a framework for understanding peptide dissociation. J. Mass Spectrom. 35, 1399–1406 (2000)CrossRefGoogle Scholar
  52. 52.
    Savitski, M.M., Fälth, M., Fung, Y.M.E., Adams, C.M., Zubarev, R.A.: Bifurcating fragmentation behavior of gas-phase tryptic peptide dications in collisional activation. J. Am. Soc. Mass Spectrom. 19, 1755–1763 (2008)CrossRefGoogle Scholar
  53. 53.
    Paizs, B., Suhai, S.: Fragmentation pathways of protonated peptides. Mass Spectrom. Rev. 24, 508–548 (2005)CrossRefGoogle Scholar
  54. 54.
    Kaiser, N.K., Quinn, J.P., Blakney, G.T., Hendrickson, C.L., Marshall, A.G.: A Novel 9.4 Tesla FT-ICR mass spectrometer with improved sensitivity, mass resolution, and mass range. J. Am. Soc. Mass Spectrom. 22, 1343–1351 (2011)CrossRefGoogle Scholar
  55. 55.
    Emmett, M.R., White, F.M., Hendrickson, C.L., Shi, S.D.-H., Marshall, A.G.: Application of micro-electrospray liquid chromatography techniques to FT-ICR MS to enable high sensitivity biological analysis. J. Am. Soc. Mass Spectrom. 9, 333–340 (1998)CrossRefGoogle Scholar
  56. 56.
    Emmett, M.R., Caprioli, R.M.: Micro-electrospray mass spectrometry: ultra-high-sensitivity analysis of peptides and proteins. J. Am. Soc. Mass Spectrom. 5, 605–613 (1994)CrossRefGoogle Scholar
  57. 57.
    Kaiser, N.K., Savory, J.J., Quinn, J.P., McKenna, A.M., Hendrickson, C.J., Marshall, A.G.: Electrically compensated fourier transform ion cyclotron resonance cell for complex mixture analysis. Anal. Chem. 83, 6907–6910 (2011)Google Scholar
  58. 58.
    Håkansson, K., Chalmers, M.J., Quinn, J.P., McFarland, M.A., Hendrickson, C.L., Marshall, A.G.: Combined electron capture and infrared multiphoton dissociation for multistage MS/MS in an FT-ICR mass spectrometer. Anal. Chem. 75, 3256–3262 (2003)CrossRefGoogle Scholar
  59. 59.
    Blakney, G.T., Hendrickson, C.L., Marshall, A.G.: Predator data station: A fast data acquisition system for advanced FT-ICR MS experiments. Int. J. Mass Spectrom. 306, 246–252 (2011)CrossRefGoogle Scholar
  60. 60.
    Ousterhout, J. Tcl and the Tk Toolkit, Addison-Wesley, Reading MA. (1994)Google Scholar
  61. 61.
    Marshall, A.G., Verdun, F.R.: Fourier Transforms in NMR, Optical, and Mass Spectrometry: A User's Handbook, Elsevier: Amsterdam, pp. 80–82, 90–93 (1990)Google Scholar
  62. 62.
    Ledford, E.B.J., Rempel, D.L., Gross, M.L.: Space charge effects in Fourier transform mass spectrometry. II. Mass calibration. Anal. Chem. 56, 2744–2748 (1984)Google Scholar
  63. 63.
    Tsybin, Y.O., Quinn, J.P., Tsybin, O.Y., Hendrickson, C.L., Marshall, A.G.: Electron capture dissociation implementation progress in Fourier transform ion cyclotron resonance mass spectrometry J. Am. Soc. Mass Spectrom. 19, 762–771 (2008)CrossRefGoogle Scholar
  64. 64.
    Bleiholder, C., Osburn, S., Williams, T.D., Suhai, S., Van Stipdonk, M., Harrison, A.G., Paizs, B.: Sequence-scrambling fragmentation pathways of protonated peptides. J. Am. Chem. Soc. 130, 17774–17789 (2008)CrossRefGoogle Scholar
  65. 65.
    Frisch, M.J.T., Trucks, G.W., Schlegel, H.B., Scuseria, G.E., Robb, M.A., Cheeseman, J.R., Montgomery Jr., J.A., Vreven, T., Kudin, K.N., Burant, J.C., Millam, J.M., Iyengar, S.S., Tomasi, J., Barone, V., Mennucci, B., Cossi, M., Scalmani, G., Rega, N., Petersson, G.A., Nakatsuji, H., Hada, M., Ehara, M., Toyota, K., Fukuda, R., Hasegawa, J., Ishida, M., Nakajima, T., Honda, Y., Kitao, O., Nakai, H., Klene, M., Li, X., Knox, J.E., Hratchian, H.P., Cross, J.B., Bakken, V., Adamo, C., Jaramillo, J., Gomperts, R., Stratmann, R.E., Yazyev, O., Austin, A.J., Cammi, R., Pomelli, C., Ochterski, J.W., Ayala, P.Y., Morokuma, K., Voth, G.A., Salvador, P., Dannenberg, J.J., Zakrzewski, V.G., Dapprich, S., Daniels, A.D., Strain, M.C., Farkas, O., Malick, D.K., Rabuck, A.D., Raghavachari, K., Foresman, J.B., Ortiz, J.V., Cui, Q., Baboul, A.G., Clifford, S., Cioslowski, J., Stefanov, B.B., Liu, G., Liashenko, A., Piskorz, P., Komaromi, I., Martin, R.L., Fox, D.J., Keith, T., Al-Laham, M.A., Peng, C.Y., Nanayakkara, A., Challacombe, M., Gill, P.M.W., Johnson, B., Chen, W., Wong, M.W., Gonzalez, C., Pople, J.A.: Gaussian 03, Revision C.02. Gaussian, Inc, Wallingford CT (2004)Google Scholar
  66. 66.
    Allen, J.M., Racine, A.H., Berman, A.M., Johnson, J.S., Bythell, B.J., Paizs, B., Glish, G.L.: Why are a3 ions rarely observed? J. Am. Soc. Mass Spectrom. 19, 1764–1770 (2008)CrossRefGoogle Scholar
  67. 67.
    Bythell, B.J., Csonka, I.P., Suhai, S., Barofsky, D.F., Paizs, B.: Gas-phase structure and fragmentation pathways of singly protonated peptides with N-terminal arginine. J. Phys. Chem. B 114, 15092–15105 (2010)CrossRefGoogle Scholar
  68. 68.
    Dongre, A.R., Jones, J.L., Somogyi, A., Wysocki, V.H.: Influence of peptide composition, gas-phase basicity, and chemical modification on fragmentation efficiency: Evidence for the mobile proton model. J. Am. Chem. Soc. 118, 8365–8374 (1996)CrossRefGoogle Scholar
  69. 69.
    Bythell, B.J., Suhai, S., Somogyi, A., Paizs, B.: Proton-driven amide bond-cleavage pathways of gas-phase peptide ions lacking mobile protons. J. Am. Chem. Soc. 131, 14057–14065 (2009)CrossRefGoogle Scholar
  70. 70.
    Laskin, J., Yang, Z., Song, T., Lam, C., Chu, I.K.: Effect of the basic residue on the energetics, dynamics, and mechanisms of gas-phase fragmentation of protonated peptides. J. Am. Chem. Soc. 132, 16006–16016 (2010)CrossRefGoogle Scholar
  71. 71.
    Paizs, B., Suhai, S.: Towards understanding the tandem mass spectra of protonated oligopeptides. 1: mechanism of amide bond cleavage. J. Am. Soc. Mass Spectrom. 15, 103–113 (2004)CrossRefGoogle Scholar
  72. 72.
    Turecek, F., Panja, S., Wyer, J.A., Ehlerding, A., Zettergren, H., Nielsen, S.B., Hvelplund, P., Bythell, B., Paizs, B.: Carboxyl-catalyzed prototropic rearrangements in histidine peptide radicals upon electron transfer: Effects of peptide sequence and conformation. J. Am. Chem. Soc. 131, 16472–16487 (2009)CrossRefGoogle Scholar
  73. 73.
    Turecek, F., Syrstad, E.A.: Mechanism and energetics of intramolecular hydrogen transfer in amide and peptide radicals and cation-radicals. J. Am. Chem. Soc. 125, 3353–3369 (2003)CrossRefGoogle Scholar
  74. 74.
    Turecek, F., Syrstad, E.A., Seymour, J.L., Chen, X., Yao, C.: Peptide cation-radicals. A computational study of the competition between peptide N-Calpha bond cleavage and loss of the side chain in the [GlyPhe-NH2 + 2H]+. cation-radical. J. Mass Spectrom. 38, 1093–1104 (2003)CrossRefGoogle Scholar
  75. 75.
    Laskin, J., Lifshitz, C.: Principle of Mass Spectrometry Applied to Biomolecules. Wiley-Interscience, Hoboken, NJ (2006)Google Scholar
  76. 76.
    Price, W.D., Williams, E.R.: Activation of peptide ions by blackbody radiation: Factors that lead to dissociation kinetics in the rapid exchange limit. J. Phys. Chem. 101, 8844–8852 (1997)Google Scholar
  77. 77.
    Bleiholder, C., Suhai, S., Harrison, A.G., Paizs, B.: Towards understanding the tandem mass spectra of protonated oligopeptides. 2: The proline effect in collision-induced dissociation of protonated Ala-Ala-Xxx-Pro-Ala (Xxx = Ala, Ser, Leu, Val, Phe, and Trp). J. Am. Soc. Mass Spectrom. 22, 1032–1039 (2011)CrossRefGoogle Scholar
  78. 78.
    Armentrout, P.B., Heaton, A.L.: Thermodynamics and mechanisms of protonated diglycine decomposition: A guided ion beam study. J. Am. Soc. Mass Spectrom. (2012). doi: 10.1007/s13361-13011-10225-13366
  79. 79.
    Armentrout, P.B., Heaton, A.L.: Thermodynamics and mechanisms of protonated diglycine decomposition: A computational study. J. Am. Soc. Mass Spectrom. (2012). doi: 10.1007/s13361-13011-10224-13367

Copyright information

© American Society for Mass Spectrometry 2012

Authors and Affiliations

  • Benjamin J. Bythell
    • 1
  • Christopher L. Hendrickson
    • 1
    • 2
  • Alan G. Marshall
    • 1
    • 2
  1. 1.Ion Cyclotron Resonance Program, National High Magnetic Field LaboratoryFlorida State UniversityTallahasseeUSA
  2. 2.Department of Chemistry and BiochemistryFlorida State UniversityTallahasseeUSA

Personalised recommendations