Linear and accurate quantitation of proenkephalin-derived peptides by isotopic labeling with internal standards and mass spectrometry

Proenkephalin (PE) represents the precursor protein of the active peptide neurotransmitter enkephalin. Quantitative analysis of peptides and proteins is an objective of mass spectrometry-based studies of biological systems and will be important for studying the proteolytic conversion of proproteins to active enkephalin and neuropeptides. The goal of this study was to define and optimize quantitation of different amounts of tryptic peptides derived from PE using light (H4, 4 hydrogens) and heavy (D4, 4 deuteriums) succinic anhydride for isotopic labeling of peptides analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). Comparisons were made between PE-derived peptides with and without internal standards. Importantly, incorporation of internal standards of known amounts of heavy isotope-labeled tryptic peptides of PE provided linear calibration plots with accurate quantitation. In contrast, comparison of light and heavy isotope-labeled peptides without internal standards produced variable and inaccurate nonlinear isotopic ratio comparisons of PE-derived peptides. These results demonstrate that use of internal standards composed of a defined amount(s) of standard peptides (PE-derived tryptic peptides) is necessary for high-quality linear quantitation of peptides by isotopic labeling and MS/MS.     

Quantitative proteome analysis using differential stable isotopic labeling and microbore LC-MALDI MS and MS/MS

We demonstrate an approach for global quantitative analysis of protein mixtures using differential stable isotopic labeling of the enzyme-digested peptides combined with microbore liquid chromatography (LC) matrix-assisted laser desorption ionization (MALDI) mass spectrometry (MS). Microbore LC provides higher sample loading, compared to capillary LC, which facilitates the quantification of low abundance proteins in protein mixtures. In this work, microbore LC is combined with MALDI MS via a heated droplet interface. The compatibilities of two global peptide labeling methods (i.e., esterification to carboxylic groups and dimethylation to amine groups of peptides) with this LC-MALDI technique are evaluated. Using a quadrupole-time-of-flight mass spectrometer, MALDI spectra of the peptides in individual sample spots are obtained to determine the abundance ratio among pairs of differential isotopically labeled peptides. MS/MS spectra are subsequently obtained from the peptide pairs showing significant abundance differences to determine the sequences of selected peptides for protein identification. The peptide sequences determined from MS/MS database search are confirmed by using the overlaid fragment ion spectra generated from a pair of differentially labeled peptides. The effectiveness of this microbore LC-MALDI approach is demonstrated in the quantification and identification of peptides from a mixture of standard proteins as well as E. coli whole cell extract of known relative concentrations. It is shown that this approach provides a facile and economical means of comparing relative protein abundances from two proteome samples.     

Database-independent, database-dependent, and extended interpretation of peptide mass spectra in VEMS V2.0

The Virtual Expert Mass Spectrometrist (VEMS) program package was developed for flexible, automated, and manual de novo tandem mass spectrometry (MS/MS) protein sequencing, and includes accessory programs for matrix-assisted laser desorption/ionization-mass spectrometry (MS) interpretation, and generation of protein and peptide databases. VEMS V2.0 has been developed into a fast tool for combining database-independent and -dependent protein assignments in an extended analysis of MS/MS-peptide data. MS or MS/MS data can be directly recalibrated after the first search by fitting the data to the best search result using polynomial equations. The score function is an improvement of known scoring algorithms and can be adapted for any MS instrument type. In addition, VEMS offers a novel statistical model for evaluating the significance of the protein assignment. The novel features are illustrated by the analysis of the fragmentation spectra obtained by liquid chromatrography-MS/MS analysis of peptides from an anionic peroxidase enriched protein fraction from potato root tissue. The extended analysis mode resulted in the additional assignment of spectra for nine modified tryptic peptides and nine miscleaved peptides, in addition to the 45 spectra from regular tryptic peptides. Of the nine modified peptides, three were glycosylated.     

Algorithms and tools for analysis and management of mass spectrometry data

Mass spectrometry (MS) is a technique that is used for biological studies. It consists in associating a spectrum to a biological sample. A spectrum consists of couples of values (intensity, m/z), where intensity measures the abundance of biomolecules (as proteins) with a mass-to-charge ratio (m/z) present in the originating sample. In proteomics experiments, MS spectra are used to identify pattern expressions in clinical samples that may be responsible of diseases. Recently, to improve the identification of peptides/proteins related to patterns, MS/MS process is used, consisting in performing cascade of mass spectrometric analysis on selected peaks. Latter technique has been demonstrated to improve the identification and quantification of proteins/peptide in samples. Nevertheless, MS analysis deals with a huge amount of data, often affected by noises, thus requiring automatic data management systems. Tools have been developed and most of the time furnished with the instruments allowing: (i) spectra analysis and visualization, (ii) pattern recognition, (iii) protein databases querying, (iv) peptides/proteins quantification and identification. Currently most of the tools supporting such phases need to be optimized to improve the protein (and their functionalities) identification processes. In this article we survey on applications supporting spectrometrists and biologists in obtaining information from biological samples, analyzing available software for different phases. We consider different mass spectrometry techniques, and thus different requirements. We focus on tools for (i) data preprocessing, allowing to prepare results obtained from spectrometers to be analyzed; (ii) spectra analysis, representation and mining, aimed to identify common and/or hidden patterns in spectra sets or in classifying data; (iii) databases querying to identify peptides; and (iv) improving and boosting the identification and quantification of selected peaks. We trace some open problems and report on requirements that represent new challenges for bioinformatics.     

评价新型稳定同位素赖氨酸标记在定量蛋白质组学中的应用

为了评价基于2-甲氧基-4,5-二氢-1氢-咪唑稳定同位素试剂在定量蛋白质组学中的应用价值,合成了轻型(D0)和重型(D4)的2-甲氧基-4,5-二氢-1氢-咪唑,通过对标准蛋白BSA酶解后产物的标记确认标记反应的特异性,并观察了标记物在MALDI-TOF-MS和LC-ESI-MS中定量的准确性,标记肽在串联质谱中的离子特点,以及对反相液相色谱行为的影响。结果表明,2-甲氧基-4,5-二氢-1氢-咪唑只与酶解后的肽段赖氨酸侧链氨基反应,具有良好的标记特异性;差异表达蛋白的定量可以通过MALDI和ESI电离模式实现;标记肽的串联质谱主要产生y离子,测序更为简便;反相液相色谱可以保持较好的分离效果,氘原子的引入不会影响保留时间,侧链修饰可以用于涉及液相色谱分离的蛋白质组学技术。2-甲氧基-4,5-二氢-1氢-咪唑稳定同位素试剂可以用于定量蛋白质组学。     

Highly informative proteome analysis by combining improved N-terminal sulfonation for de novo peptide sequencing and online capillary reverse-phase liquid chromatography/tandem mass spectrometry

Recently, various chemical modifications of peptides have been incorporated into mass spectrometric analyses of proteome samples, predominantly in conjunction with matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS), to facilitate de novo sequencing of peptides. In this work, we investigate systematically the utility of N-terminal sulfonation of tryptic peptides by 4-sulfophenyl isothiocyanate (SPITC) for proteome analysis by capillary reverse-phase liquid chromatography/tandem mass spectrometry (cRPLC/MS/MS). The experimental conditions for the sulfonation were carefully adjusted so that SPITC reacts selectively with the N-terminal amino groups, even in the presence of the epsilon-amino groups of lysine residues. Mass spectrometric analyses of the modified peptides by cRPLC/MS/MS indicated that SPITC derivatization proceeded toward near completion under the experimental conditions employed here. The SPITC-derivatized peptides underwent facile fragmentation, predominantly resulting in y-series ions in the MS/MS spectra. Combining SPITC derivatization and cRPLC/MS/MS analyses facilitated the acquisition of sequence information for lysine-terminated tryptic peptides as well as arginine-terminated peptides without the need for additional peptide pretreatment, such as guanidination of lysine amino group. This process alleviated the biased detection of arginine-terminated peptides that is often observed in MALDI MS experiments. We will discuss the utility of the technique as a viable method for proteome analyses and present examples of its application in analyzing samples having different levels of complexity.     

Antibody characterization using novel ERLIC-MS/MS-based peptide mapping

Electrostatic repulsion hydrophilic interaction chromatography (ERLIC) coupled with mass spectrometry (MS) is a technique that is increasingly being used as a trapping/enrichment tool for glycopeptides/phosphorylated peptides or sample fractionation in proteomics research. Here, we describe a novel ERLIC-MS/MS-based peptide mapping method that was successfully used for the characterization of denosumab, in particular the analysis of sequence coverage, terminal peptides, methionine oxidation, asparagine deamidation and glycopeptides. Compared to reversed phase liquid chromatography (RPLC)-MS/MS methods, ERLIC demonstrated unique advantages in the retention of small peptides, resulting in 100% sequence coverage for both the light and heavy chains. It also demonstrated superior performance in the separation and characterization of asparagine deamidated peptides, which is known to be challenging by RPLC-MS/MS. The developed method can be used alone for peptide mapping-based characterization of monoclonal antibodies, or as an orthogonal method to complement the RPLC-MS/MS method. This study extends the applications of ERLIC from that of a trapping/fractioning column to biologic therapeutics characterization. The ERLIC-MS/MS method can enhance biologic therapeutics analysis with more reliability and confidence for bottom-up peptide mapping-based characterization.     

Effect of 2MEGA labeling on membrane proteome analysis using LC-ESI QTOF MS

One of the challenges associated with large-scale proteome analysis using tandem mass spectrometry (MS/MS) and automated database searching is to reduce the number of false positive identifications without sacrificing the number of true positives found. In this work, a systematic investigation of the effect of 2MEGA labeling (N-terminal dimethylation after lysine guanidination) on the proteome analysis of a membrane fraction of an Escherichia coli cell extract by 2-dimensional liquid chromatography MS/MS is presented. By a large-scale comparison of MS/MS spectra of native peptides with those from the 2MEGA-labeled peptides, the labeled peptides were found to undergo facile fragmentation with enhanced a1 or a1-related (a(1)-17 and a(1)-45) ions derived from all N-terminal amino acids in the MS/MS spectra; these ions are usually difficult to detect in the MS/MS spectra of nonderivatized peptides. The 2MEGA labeling alleviated the biased detection of arginine-terminated peptides that is often observed in MALDI and ESI MS experiments. 2MEGA labeling was found not only to increase the number of peptides and proteins identified but also to generate enhanced a1 or a1-related ions as a constraint to reduce the number of false positive identifications. In total, 640 proteins were identified from the E. coli membrane fraction, with each protein identified based on peptide mass and sequence match of one or more peptides using MASCOT database search algorithm from the MS/MS spectra generated by a quadrupole time-of-flight mass spectrometer. Among them, the subcellular locations of 336 proteins are presently known, including 258 membrane and membrane-associated proteins (76.8%). Among the classified proteins, there was a dramatic increase in the total number of integral membrane proteins identified in the 2MEGA-labeled sample (153 proteins) versus the unlabeled sample (77 proteins).     

Protein identification assisted by the prediction of retention time in liquid chromatography/tandem mass spectrometry

Two-dimensional liquid chromatography (2D-LC) coupled on-line with electrospray ionization tandem mass spectrometry (2D-LC-ESI-MS/MS) is a new platform for analysis and identification of proteome. Peptides are separated by 2D-LC and then performed MS/MS analysis by tandem MS/MS. The MS/MS data are searched against database for protein identification. In one 2D-LC-ESI-MS/MS run, we obtained not only the structural information of peptides directly from MS/MS, but also the retention time of peptides eluted from LC. Information on the chromatographic behavior of peptides can assist protein identification in the new platform for proteomics. The retention time of the matching peptides of the identified protein was predicted by the hydrophobic contribute of each amino acid on reversed-phase liquid chromatography (RPLC). By using this strategy proteins were identified by four types of information: peptide mass fingerprinting (PMF), sequence query, and MS/MS ions searched and the predicted retention time. This additional information obtained from LC could assist protein identification with no extra experimental cost.     

Rapid and sensitive identification of major histocompatibility complex class I-associated tumor peptides by Nano-LC MALDI MS/MS

Identification of major histocompatibility complex (MHC)-associated peptides recognized by T-lymphocytes is a crucial prerequisite for the detection and manipulation of specific immune responses in cancer, viral infections, and autoimmune diseases. Unfortunately immunogenic peptides are less abundant species present in highly complex mixtures of MHC-extracted material. Most peptide identification strategies use microcapillary LC coupled to nano-ESI MS/MS in a challenging on-line approach. Alternatively MALDI PSD analysis has been applied for this purpose. We report here on the first off-line combination of nanoscale (nano) LC and MALDI TOF/TOF MS/MS for the identification of naturally processed MHC peptide ligands. These peptides were acid-eluted from human leukocyte antigen (HLA)-A2, HLA-A3, and HLA-B/-C complexes separately isolated from a renal cell carcinoma cell lysate using HLA allele-specific antibodies. After reversed-phase HPLC, peptides were further fractionated via nano-LC. This additional separation step provided a substantial increase in the number of detectable candidate species within the complex peptide pools. MALDI MS/MS analysis on nano-LC-separated material was then sufficiently sensitive to rapidly identify more than 30 novel HLA-presented peptide ligands. Peptide sequences contained perfect anchor amino acid residues described previously for HLA-A2, HLA-A3, and HLA-B7. The most promising candidate for a T-cell epitope is an HLA-B7-binding nonamer peptide derived from the tumor-associated gene NY-BR-16. To demonstrate the sensitivity of our approach we characterized peptides binding to HLA-C molecules that are usually expressed at the cell surface at approximately only 10% the levels of HLA-A or HLA-B. In fact, multiple renal cell carcinoma peptides were identified that contained anchor amino acid residues of HLA-Cw5 and HLA-Cw7. We conclude that the nano-LC MALDI MS/MS approach is a sensitive tool for the rapid and automated identification of MHC-associated tumor peptides.     

Application of matrix solid-phase dispersion methodology to the extraction of endogenous peptides from porcine hypothalamus samples for MS and LC-MS analysis

In this study, we investigated a novel application of matrix solid-phase dispersion (MSPD) methodology for the extraction of endogenous peptides from porcine hypothalamus tissue samples. Several experimental factors of the MSPD procedure were examined. Finally, silica-based octadecyl was chosen as dispersing material and blended with 0.25 g porcine hypothalamus at a ratio of 5, and 10 mL of 60% acetonitrile with 0.2% formic acid in water was chosen as the extraction and elution solvent. This MSPD extraction method was compared to the classic acid extraction method. More peaks were observed in the MSPD extracts (74±5) by MALDI-TOF MS than in acid extracts (34±5). Moreover, 14 potential endogenous peptides were identified in the MSPD extracts after nanoLC-MS/MS analysis, while only 2 endogenous peptides in the acid extracts. These results indicated that MSPD could be employed as a simple and efficient method for the extraction of endogenous peptides from tissues.     

Improving MHC‐I Ligand Identifications from LC‐MS/MS Data by Incorporating Allelic Peptide Motifs

MHC class I (MHC‐I)‐bound ligands play a pivotal role in CD8 T cell immunity and are hence of major interest in understanding and designing immunotherapies. One of the most commonly utilized approaches for detecting MHC ligands is LC‐MS/MS. Unfortunately, the effectiveness of current algorithms to identify MHC ligands from LC‐MS/MS data is limited because the search algorithms used were originally developed for proteomics approaches detecting tryptic peptides. Consequently, the analysis often results in inflated false discovery rate (FDR) statistics and an overall decrease in the number of peptides that pass FDR filters. Andreatta et al. describe a new scoring tool (MS‐rescue) for peptides from MHC‐I immunopeptidome datasets. MS‐rescue incorporates the existence of MHC‐I peptide motifs to rescore peptides from ligandome data. The tool is demonstrated here using peptides assigned from LC‐MS/MS data with PEAKs software but can be deployed on data from any search algorithm. This new approach increased the number of peptides identified by up to 20–30% and promises to aid the discovery of novel MHC‐I ligands with immunotherapeutic potential.     

Graphite powder as an alternative or supplement to reversed-phase material for desalting and concentration of peptide mixtures prior to matrix-assisted laser desorption/ionization-mass spectrometry

The success attributed to identification and characterization of gel separated proteins by mass spectrometry (MS) is highly dependent on the percentage of an entire sequence covered by matching peptides derived from enzymatic digestion. Desalting and concentration of peptide mixtures on reversed-phase (RP) microcolumns prior to mass spectrometric analysis have resulted in increased signal-to-noise ratio and sensitivity, and consequently higher sequence coverage. A large proportion of peptides, however, remains undetected by MS presumably because they are lost during sample preparation on microcolumns, or are suppressed in the ionization process. We report here the use of graphite powder packed in constricted GELoader tips as an alternative to RP microcolumns for desalting and concentration of peptide mixtures prior to MS. Such columns are able to retain small and/or hydrophilic peptides that can be lost when using RP microcolumns. In addition, we show that samples contaminated with small biological polymers can readily be analyzed using graphite powder rather than RP microcolumns, since the polymer molecules bind strongly to graphite and are not eluted with the peptides.     

Comprehensive peptidome analysis of mouse livers by size exclusion chromatography prefractionation and nanoLC-MS/MS identification

Peptidome analysis has received increasing attention in recent years. Cancer diagnosis by serum peptidome has also been reported by peptides' profiling for discovery of peptide biomarkers. Tissue, which may have a higher biomarker concentration than blood, has not been investigated extensively by means of peptidome analysis. Here, a method for the peptidome analysis of mouse liver was developed by the combination of size exclusion chromatography (SEC) prefractionation with nano-liquid chromatography-tamdem mass spectrometry (nanoLC-MS/MS) analysis. The extracted peptides from mouse liver were separated according to their molecular weight using a size exclusion column. MALDI-TOF MS was used to characterize the molecular weight distribution of the peptides in fractions eluted from the SEC column. The low molecular weight (LMW) (MW < 3000 Da) peptides in the collected fractions were directly analyzed by LC-MS/MS which resulted in the identification of 1181 unique peptides (from 371 proteins). The high molecular weight (HMW) (MW > 3000 Da) peptides in the early two fractions from the SEC column were first digested with trypsin, and the resulted digests were then analyzed by LC-MS/MS, which led to the identification of 123 and 127 progenitor proteins of the HMW peptides in fractions 1 and 2, respectively. Analysis of the peptides' cleavage sites showed that the peptides are cleaved in regulation, which may reflect the protease activity and distribution in body, and also represent the biological state of the tissue and provide a fresh source for biomarker discovery.     

Membrane protein identifications by mass spectrometry using electrocapture-based separation as part of a two-dimensional fractionation system

A two-dimensional (2D) separation method was used to decrease sample complexity in analysis of tryptic peptides from glomerular membrane proteins by tandem mass spectrometry (MS/MS). The first dimension was carried out by electrocapture (EC), which fractionates peptides according to electrophoretic mobility. The second dimension was reverse-phase liquid chromatography (RP-LC), in which EC fractions were further separated and analyzed online by MS/MS. Using this methodology, we now identify 102 glomerular proteins (57 membrane proteins). Many peptides were possible to observe and select for MS/MS only using the 2D approach. Others were detectable in both one-dimensional (1D, without the EC step) and 2D experiments but were selectable for sequence analysis only from the 2D separations because the decrease in complexity then gives time for the mass analyzer to select the peptide and switch to the MS/MS mode. A minority of the peptides were detectable only in the 1D mode (presumably because of handling losses), but at the end this did not decrease the number of proteins identified by the 2D separation. After a database search, the combination of EC and RP-LC MS/MS versus a 1D RP-LC MS/MS separation resulted in a threefold increase in the number of proteins identified and improved the sequence coverage in the identifications, bringing our proteome-identified glomerular proteins to 282.     

A proteome-scale study on in vivo protein Nα-acetylation using an optimized method

Protein N-terminal acetylation (N(α) -acetylation) is among the most common modifications in eukaryotes. We previously described a simple method to enrich N(α) -modified peptides using CNBr-activated Sepharose resin. A limitation of this method is that an optimal ratio of sample to resin had to be determined prior to the analysis since Lys-containing N(α) -modified peptides may be lost. To address this problem, we hereby present an optimized method by the introduction of double incubation at pH 6.0. We demonstrate with the optimized method that the N(α) -modified peptides can be enriched regardless of whether ε-NH(2) is present or not, and the sample to resin ratio optimization is no longer necessary. Another improvement was accomplished by the inclusion of the singly charged precursor for MS/MS fragmentation to alleviate the shortcoming of the reduced charge state of N(α) -modified peptides. We employed a duplicate experiment using 80 μg samples each and identified 922 IPI annotated and 103 IPI unannotated acetylated N-termini from 989 proteins, so far the largest acetylated N-termini data set acquired from a tryptic digest. Furthermore, the reproducibility of the N(α) -acetyl proteome approach was evaluated and its complementarity to the regular proteome approach was analyzed. The unexpected coupling of CNBr-activated Sepharose to His-containing peptides via the imidazole group was discovered.     

Differential expression analysis of Escherichia coli proteins using a novel software for relative quantitation of LC-MS/MS data

The study of changes in protein levels between samples derived from cells representing different biological conditions is a key to the understanding of cellular function. There are two main methods available that allow both for global scanning for significantly varying proteins and targeted profiling of proteins of interest. One method is based on 2-D gel electrophoresis and image analysis of labelled proteins. The other method is based on LC-MS/MS analysis of either unlabelled peptides or peptides derived from isotopically labelled proteins or peptides. In this study, the non-labelling approach was used involving a new software, DeCyder MS Differential Analysis Software (DeCyder MS) intended for automated detection and relative quantitation of unlabelled peptides in LC-MS/MS data.Total protein extracts of E. coli strains expressing varying levels of dihydrofolate reductase and integron integrase were digested with trypsin and analyzed using a nanoscale liquid chromatography system, Ettan MDLC, online connected to an LTQTM linear ion-trap mass spectrometer fitted with a nanospray interface. Acquired MS data were subjected to DeCyder MS analysis where 2-D representations of the peptide patterns from individual LC-MS/MS analyses were matched and compared.This approach to unlabelled quantitative analysis of the E. coli proteome resulted in relative protein abundances that were in good agreement with results obtained from traditional methods for measuring protein levels.     

Sequence analysis and feeding responses evoked by the large molecular form of gastrin releasing peptide (GRP) in the rat GRP-29

Microisolation techniques utilizing several reverse phase high performance liquid chromatography (HPLC) steps have resulted in the purification of two rat gastrin releasing peptide (GRP) forms suitable for microsequence and mass spectral analysis. The sequence of the larger form is APVSTGAGGGTVLAKMYPRGSHWAVGHLM-amide and the smaller form is GSHWAVGHLM-amide which is the carboxyl terminal decapeptide of the larger peptide. The peptides were synthesized and their feeding patterns e.g. first meal size (MS), intermeal interval (IMI) and satiety ratio (SR, IMI/MS) were determined in overnight food-, but not water deprived, male Sprague Dawley rats. The peptides were administered in the femoral vein (0, 0.21, 0.41 and 1.03 nmol/kg) immediately before presenting the rats with a 10% sucrose solution. We found that (1) GRP-10 (all doses) and GRP-29 (0.41 nmol/kg) reduced first MS, (2) both peptides prolonged IMI length and (3) both peptides increased the SR to similar extents. In conclusion, GRP-10 and GRP-29 are the two endogenous forms of GRP in the rat intestine and they reduce short term feeding to similar extents when administered intravenously.     

"Zero-length" cross-linking in solid state as an approach for analysis of protein-protein interactions

We have developed a new approach for the analysis of interacting interfaces in protein complexes and protein quaternary structure based on cross-linking in the solid state. Protein complexes are freeze-dried under vacuum, and cross-links are introduced in the solid phase by dehydrating the protein in a nonaqueous solvent creating peptide bonds between amino and carboxyl groups of the interacting peptides. Cross-linked proteins are digested into peptides with trypsin in both H2(16)O and H(2)18O and then readily distinguished in mass spectra by characteristic 8 atomic mass unit (amu) shifts reflecting incorporation of two 18O atoms into each C terminus of proteolytic peptides. Computer analysis of mass spectrometry (MS) and MS/MS data is used to identify the cross-linked peptides. We demonstrated specificity and reproducibility of our method by cross-linking homo-oligomeric protein complexes of glutathione-S-transferase (GST) from Schistosoma japonicum alone or in a mixture of many other proteins. Identified cross-links were predominantly of amide origin, but six esters and thioesters were also found. The cross-linked peptides were validated against the GST monomer and dimer X-ray structures and by experimental (MS/MS) analyses. Some of the identified cross-links matched interacting peptides in the native 3D structure of GST, indicating that the structure of GST and its oligomeric complex remained primarily intact after freeze-drying. The pattern of oligomeric GST obtained in solid state was the same as that obtained in solution by Ru (II) Bpy(3)2+ catalyzed, oxidative "zero-length" cross-linking, confirming that it is feasible to use our strategy for analyzing the molecular interfaces of interacting proteins or peptides.