Effects of peptide acetylation and dimethylation on electrospray ionization efficiency

Peptide acetylation and dimethylation have been widely used to derivatize primary amino groups (peptide N‐termini and the ε‐amino group of lysines) for chemical isotope labeling of quantitative proteomics or for affinity tag labeling for selection and enrichment of labeled peptides. However, peptide acetylation results in signal suppression during electrospray ionization (ESI) due to charge neutralization. In contrast, dimethylated peptides show increased ionization efficiency after derivatization, since dimethylation increases hydrophobicity and maintains a positive charge on the peptide under common LC conditions. In this study, we quantitatively compared the ESI efficiencies of acetylated and dimethylated model peptides and tryptic peptides of BSA. Dimethylated peptides showed higher ionization efficiency than acetylated peptides for both model peptides and tryptic BSA peptides. At the proteome level, peptide dimethylation led to better protein identification than peptide acetylation when tryptic peptides of mouse brain lysate were analyzed with LC‐ESI‐MS/MS. These results demonstrate that dimethylation of tryptic peptides enhanced ESI efficiency and provided up to two‐fold improved protein identification sensitivity in comparison with acetylation. Copyright © 2016 John Wiley & Sons, Ltd.     

Use of an integrated MS--multiplexed MS/MS data acquisition strategy for high-coverage peptide mapping studies

Liquid chromatography/mass spectrometry (LC/MS) peptide maps have become a basic tool for characterizing proteins of biological and pharmaceutical interest. The ability to generate reproducible maps with high protein sequence coverage is a central goal of methods development. We have applied a recently developed analytical approach (termed LC/MS(E)) to LC/MS peptide mapping. Using the LC/MS(E) approach, the mass detector alternates between a low-energy scanning mode (MS) for accurate mass peptide precursor identification, and an elevated-energy mode (MS(E)) for generation of accurate mass multiplex peptide fragmentation data. In this paper, we evaluate this analytical approach against a tryptic digest of yeast enolase. From the low-energy data, high peptide map coverage (98% of sequence from peptides >3 amino acids) was reproducibly obtained. The MS signal for essentially equimolar peptides varied over 2 orders of magnitude in intensity, and peptide intensities could be precisely and reproducibly measured. Using the temporal constraint that MS(E) peptide fragment ions exhibit chromatographic profiles that parallel the precursor ions that generated them, we were able to produce accurate mass time-resolved MS/MS information for all enolase peptides with sufficient abundance to produce a detectable fragment ion.     

Evaluation of peptide fractionation strategies used in proteome analysis

Peptide fractionation is extremely important for the comprehensive analysis of complex protein mixtures. Although a few comparisons of the relative separation efficiencies of 2‐D methodologies using complex biological samples have appeared, a systematic evaluation was conducted in this study. Four different fractionation methods, namely strong‐cation exchange, hydrophilic interaction chromatography, alkaline‐RP and solution isoelectric focusing, which can be used prior to LC‐MS/MS analysis, were compared. Strong‐cation exchange × RPLC was used after desalting the sample; significantly more proteins were identified, compared with the nondesalted sample (1990 and 1375). We also found that the use of a combination of analytical methods resulted in a dramatic increase in the number of unique peptides that could be identified, compared with only a small increase in protein levels. The increased number of distinct peptides that can be identified is especially beneficial, not only for unequivocally identifying proteins but also for proteomic studies involving posttranslational modifications and peptide‐based quantification approaches using stable isotope labeling. The identification and quantification of more peptides per protein provide valuable information that improves both the quantification of, and confidence of protein identification.     

Dansyl‐peptides matrix‐assisted laser desorption/ionization mass spectrometric (MALDI‐MS) and tandem mass spectrometric (MS/MS) features improve the liquid chromatography/MALDI‐MS/MS analysis of the proteome

Peptide tagging is a useful tool to improve matrix‐assisted laser desorption/ionization tandem mass spectrometric (MALDI‐MS/MS) analysis. We present a new application of the use of the dansyl chloride (DNS‐Cl). DNS‐Cl is a specific primary amine reagent widely used in protein biochemistry. It adds a fluorescent dimethylaminonaphthalene moiety to the molecule. The evaluation of MALDI‐MS and MS/MS analyses of dansylated peptides shows that dansylation raises the ionization efficiency of the most hydrophilic species compared with the most hydrophobic ones. Consequently, higher Mascot scores and protein sequence coverage are obtained by combining MS and MS/MS data of native and tagged samples. The N‐terminal DNS‐Cl sulfonation improves the peptide fragmentation and promotes the generation of b‐fragments allowing better peptide sequencing. In addition, we set up a labeling protocol based on the microwave chemistry. Peptide dansylation proved to be a rapid and cheap method to improve the performance of liquid chromatography (LC)/MALDI‐MS/MS analysis at the proteomic scale in terms of peptide detection and sequence coverage. Copyright © 2010 John Wiley & Sons, Ltd.     

Protein identification by accurate mass matrix-assisted laser desorption/ionization imaging of tryptic peptides

The spatial distribution of proteins in tissue sections can be used to identify potential markers for pathological processes. Tissue sections are often subjected to enzymatic digestion before matrix‐assisted laser desorption/ionization (MALDI) imaging. This study is targeted at improving the on‐tissue identification of tryptic peptides by accurate mass measurements and complementary off‐line liquid chromatography coupled to electrospray ionization tandem mass spectrometry (LC/ESI‐MS/MS) analysis. Two adjacent mouse brain sections were analyzed in parallel. The first section was spotted with trypsin and analyzed by MALDI imaging. Direct on‐tissue MS/MS experiments of this section resulted in the identification of 14 peptides (originating from 4 proteins). The second tissue section was homogenized, fractionated by ultracentrifugation and digested with trypsin prior to LC/ESI‐MS/MS analysis. The number of identified peptides was increased to 153 (corresponding to 106 proteins) by matching imaged mass peaks to peptides which were identified in these LC/ESI‐MS/MS experiments. All results (including MALDI imaging data) were based on accurate mass measurements (RMS <2 ppm) and allow a confident identification of tryptic peptides. Measurements based on lower accuracy would have led to ambiguous or misleading results. MS images of identified peptides were generated with a bin width (mass range used for image generation) of Δm/z = 0.01. The application of accurate mass measurements and additional LC/MS measurements increased both the quality and the number of peptide identifications. The advantages of this approach for the analysis of biological tissue sections are demonstrated and discussed in detail. Results indicate that accurate mass measurements are needed for confident identification and specific image generation of tryptic peptides in tissue sections. Copyright © 2011 John Wiley & Sons, Ltd.     

Quantitative analysis of low‐abundance peptides in HeLa cell cytoplasm by targeted liquid chromatography/mass spectrometry and stable isotope dilution: emphasising the distinction between peptide detection and peptide identification

We present the application of a targeted liquid chromatography/mass spectrometry (LC/MS) approach developed on a linear ion trap for the evaluation of the abundance of cytoplasmic proteins from a HeLa cell extract. Using a standard data‐dependent approach, we identified some specific peptides from this extract which were also commercially available in their AQUA form (use for absolute quantitation). For some of the peptides, we observed a non‐linear response between the intensity and the added quantity which was then fitted using a quadratic fit. All AQUA peptides spiked into a mix of 3 µg of the HeLa cell digest extract were detected down to 16 fmol. We placed an emphasis on peptide detection which, in this study, is performed using a combination of properties such as three specific Q3‐like ion signatures (for a given Q1‐like selection) and co‐elution with the AQUA peptide counterparts. Detecting a peptide without necessarily identifying it using a search engine imposes less constraint in terms of tandem mass (MS/MS) spectra purity. An example is shown where a peptide is detected using those criteria but could not be identified by Mascot due to its lower abundance. To complement this observation, we used a cross‐correlation analysis approach in order to separate two populations of MS/MS fragments based on differences in their elution patterns. Such an approach opens the door to new strategies to analyse lower intensity peptide fragments. An in silico analysis of the human trypsinosome allows the evaluation of how unique are the sets of features that we are using for peptide detection. Copyright © 2010 John Wiley & Sons, Ltd.     

Improved protein identification efficiency by mass spectrometry using N-terminal chemical derivatization of peptides from Angiostrongylus costaricensis, a nematode with unknown genome

Matrix-assisted laser desorption ionization (MALDI), Peptide Mass Fingerprinting (PMF) and MALDI-MS/MS ion search (using MASCOT) have become the preferred methods for high-throughput identification of proteins. Unfortunately, PMF can be ambiguous, mainly when the genome of the organism under investigation is unknown and the quality of spectra generated is poor and does not allow confident identification. The post-source decay (PSD) fragmentation of singly charged tryptic peptide ions generated by MALDI-TOF/TOF typically results in low fragmentation efficiency and/or complex spectra, including backbone fragmentation ions (series b and y), internal fragmentation etc. Interpreting these data either manually and/or using de novo sequencing software can frequently be a challenge. To overcome this limitation when studying the proteome of adult Angiostrongylus costaricensis, a nematode with unknown genome, we have used chemical N-terminal derivatization of the tryptic peptides with 4-sulfophenyl isothiocyanate (SPITC) prior to MALDI-TOF/TOF MS. This methodology has recently been reported to enhance the quality of MALDI-TOF/TOF-PSD data, allowing the obtainment of complete sequence of most of the peptides and thus facilitating de novo peptide sequencing. Our approach, consisting of SPITC derivatization along with manual spectra interpretation and Blast analysis, was able to positively identify 76% of analyzed samples, whereas MASCOT analysis of derivatized samples, MASCOT analysis of nonderivatized samples and PMF of nonderivatized samples yielded only 35, 41 and 12% positive identifications, respectively. Moreover, de novo sequencing of SPITC modified peptides resulted in protein sequences not available in NCBInr database paving the way to the discovery of new protein molecules.     

Improved protein identification efficiency by mass spectrometry using N-terminal chemical derivatization of peptides from Angiostrongylus costaricensis, a nematode with unknown genome

Matrix-assisted laser desorption ionization (MALDI), Peptide Mass Fingerprinting (PMF) and MALDI-MS/MS ion search (using MASCOT) have become the preferred methods for high-throughput identification of proteins. Unfortunately, PMF can be ambiguous, mainly when the genome of the organism under investigation is unknown and the quality of spectra generated is poor and does not allow confident identification. The post-source decay (PSD) fragmentation of singly charged tryptic peptide ions generated by MALDI-TOF/TOF typically results in low fragmentation efficiency and/or complex spectra, including backbone fragmentation ions (series b and y), internal fragmentation etc. Interpreting these data either manually and/or using de novo sequencing software can frequently be a challenge. To overcome this limitation when studying the proteome of adult Angiostrongylus costaricensis, a nematode with unknown genome, we have used chemical N-terminal derivatization of the tryptic peptides with 4-sulfophenyl isothiocyanate (SPITC) prior to MALDI-TOF/TOF MS. This methodology has recently been reported to enhance the quality of MALDI-TOF/TOF-PSD data, allowing the obtainment of complete sequence of most of the peptides and thus facilitating de novo peptide sequencing. Our approach, consisting of SPITC derivatization along with manual spectra interpretation and Blast analysis, was able to positively identify 76% of analyzed samples, whereas MASCOT analysis of derivatized samples, MASCOT analysis of nonderivatized samples and PMF of nonderivatized samples yielded only 35, 41 and 12% positive identifications, respectively. Moreover, de novo sequencing of SPITC modified peptides resulted in protein sequences not available in NCBInr database paving the way to the discovery of new protein molecules.     

IMSPeptider: A computational peptide collision cross‐section area calculator based on a novel molecular dynamics simulation protocol

Introduction of ion mobility mass spectrometry (IMS/MS) into the proteomic workflow provides an orthogonal separation to the widely used LC‐MS platforms. IMS also provides structural information that could facilitate peptide identification. However, the lack of tools capable of predictive power in a high‐throughput fashion makes peptide global profiling quite challenging. To target this issue, a computational workflow was developed based on biophysical principles to predict the collision cross‐section area (CCS) of peptides as measured from IMS/MS experiments. Hosted on a web server, it allows the user to input a primary sequence (query) and retrieve information on peptide structure, sequence, and corresponding CCS. The current version is designed to identify peptide sequences up to 23 residues in length, in its higher charge state, based on a match of the molecule m/z and CCS. The protocol was validated against a 128‐sequences‐dataset and CCS predicted within 2.8% average error. © 2013 Wiley Periodicals, Inc.     

N-terminal H3/D3-acetylation for improved high-throughput peptide sequencing by matrix-assisted laser desorption/ionization mass spectrometry with a time-of-flight/time-of-flight analyzer

A novel method for peptide sequencing by matrix-assisted laser desorption/ionization mass spectrometry with a time-of-flight/time-of-flight analyzer (MALDI-TOF/TOF) is presented. A stable isotope label introduced in the peptide N-terminus by derivatization, using a 1:1 mixture of acetic anhydride and deuterated acetic anhydride, allows for easy and unambiguous identification of ions belonging either to the N- or the C-terminal ion series in the product ion spectrum, making sequence assignment significantly simplified. The good performance of this technique was shown by successful sequencing of the contents of several peptide maps. A similar approach was recently applied to nanoelectrospray ionization (nanoESI) and nano-liquid chromatography/tandem mass spectrometry (LC/MS/MS). The MALDI-TOF/TOF technique allows for fast, direct sequencing of modified peptides in proteomics samples, and is complementary to the nanoESI and nanoLC/MS/MS approaches.     

Validated quantitation method for a peptide in rat serum using liquid chromatography/high‐field asymmetric waveform ion mobility spectrometry

The analysis of peptides presents serious challenges for bioanalytical scientists including low total ion current and non‐selective fragmentation during tandem mass spectrometry (MS/MS). During method validation of a peptide in rat serum matrix some interferences could not be easily removed and thus prevented accurate and precise measurement. These problems associated with peptide quantitation were resolved by using FAIMS (high‐Field Asymmetric waveform Ion Mobility Spectrometry). This selectivity‐enhancing technique filters out matrix interferences, and the resulting pseudo‐selected reaction monitoring (pseudo‐SRM) chromatograms were nearly free from interferences. Control blank matrix samples contained an acceptable level of interference (only 7% signal as compared to the lower level of quantitation). Chromatographic peaks were easily, accurately and precisely integrated resulting in a validated liquid chromatography (LC)/FAIMS‐MS/MS method for the analysis of a peptide drug in rat serum according to United States Food and Drug Administration (US FDA) bioanalytical guidelines. These results confirm that new selectivity‐enhancing technologies aid the pharmaceutical industry in reliably producing acceptable pharmacokinetic data. Copyright © 2009 John Wiley & Sons, Ltd.     

A convenient purification and preconcentration of peptides with α‐cyano‐4‐hydroxycinnamic acid matrix crystals in a pipette tip for matrix‐assisted laser desorption/ionization mass spectrometry

Peptide samples derived from enzymatic in‐gel digestion of proteins resolved by gel electrophoresis often contain high amount of salts originating from reaction and separation buffers. Different methods are used for desalting prior to matrix‐assisted laser desorption/ionization (MALDI) mass spectrometry (MS), e.g. reversed‐phase pipette tip purification, on‐target washing, adding co‐matrices, etc. As a suitable matrix for MALDI MS of peptides, α‐cyano‐4‐hydroxycinnamic acid (CHCA) is frequently used. Crystalline CHCA shows the ability to bind peptides on its surface and because it is almost insoluble in acidic water solutions, the on‐target washing of peptide samples can significantly improve MALDI MS signals. Although the common on‐target washing represents a simple, cheap and fast procedure, only a small portion of the available peptide solution is efficiently used for the subsequent MS analysis. The present approach is a combination of the on‐target washing principle carried out in a narrow‐end pipette tip (e.g. GELoader tip) and preconcentration of peptides from acidified solution by passing it through small CHCA crystals captured inside the tip on a glass microfiber frit. The results of MALDI MS analysis using CHCA‐tip peptide preconcentration are comparable with the use of homemade POROS R2 pipette tip microcolumns. Advantages and limitations of this approach are discussed. Copyright © 2009 John Wiley & Sons, Ltd.     

MSQ: a tool for quantification of proteomics data generated by a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry based targeted quantitative proteomics platform

Mass spectrometry (MS)‐based quantitative proteomics has become a critical component of biological and clinical research for identification of biomarkers that can be used for early detection of diseases. In particular, MS‐based targeted quantitative proteomics has been recently developed for the detection and validation of biomarker candidates in complex biological samples. In such approaches, synthetic reference peptides that are the stable isotope labeled version of proteotypic peptides of proteins to be quantitated are used as internal standards enabling specific identification and absolute quantification of targeted peptides. The quantification of targeted peptides is achieved using the intensity ratio of a native peptide to the corresponding reference peptide whose spike‐in amount is known. However, a manual calculation of the ratios can be time‐consuming and labor‐intensive, especially when the number of peptides to be tested is large. To establish a liquid chromatography/matrix‐assisted laser desorption/ionization time‐of‐flight tandem mass spectrometry (LC/MALDI TOF/TOF)‐based targeted quantitative proteomics pipeline, we have developed a software named Mass Spectrometry based Quantification (MSQ). This software can be used to automate the quantification and identification of targeted peptides/proteins by the MALDI TOF/TOF platform. MSQ was applied to the detection of a selected group of targeted peptides in pooled human cerebrospinal spinal fluid (CSF) from patients with Alzheimer's disease (AD) in comparison with age‐matched control (OC). The results for the automated quantification and identification of targeted peptides/proteins in CSF were in good agreement with results calculated manually. Copyright © 2010 John Wiley & Sons, Ltd.     

蛋白质组质谱分析中基于串并联支持向量机的肽段色谱保留时间预测方法

基于质谱的大规模蛋白质鉴定中,在线液相色谱分离发挥了重要作用。色谱保留时间(retention time,RT)是肽段鉴定和定量的重要信息。由于整个色谱分析运行时间中,流动相中的有机相采用了非线性浓度曲线以及样品中肽段之间的相互影响等因素,基于肽段序列的RT预测还存在精度不高、模型推广性能差等问题。本文提出了一种基于串并联支持向量机(serial and parallel support vector machine,SP-SVM)的RT预测方法,能够表征洗脱过程中有机相浓度的非线性变化和肽段之间的相互影响,显著提高了肽段保留时间预测的精度。利用复杂样本数据集验证结果表明,预测RT和实验RT之间的决定系数达到了0.95,超过95%的鉴定肽段的RT预测误差范围小于总运行时间的20%,超过70%的鉴定肽段的RT预测误差范围小于总运行时间的10%。本文提出的模型的性能达到了目前已知的最好水平。     

Species identification by analysis of bone collagen using matrix‐assisted laser desorption/ionisation time‐of‐flight mass spectrometry

Species identification of fragmentary bone, such as in rendered meat and bone meal or from archaeological sites, is often difficult in the absence of clear morphological markers. Here we present a robust method of analysing genus‐specific collagen peptides by mass spectrometry simply by using solid‐phase extraction (a C18 ZipTip®) for peptide purification, rather than liquid chromatography/mass spectrometry (LC/MS). Analysis of the collagen from 32 different mammal species identified a total of 92 peptide markers that could be used for species identification, for example, in processed food and animal feed. A set of ancient (>100 ka@10°C) bone samples was also analysed to show that the proposed method has applications to archaeological bone identification. Copyright © 2009 John Wiley & Sons, Ltd.     

Two-dimensional LC-MS/MS in detection of peptides in hypothalamus of the rat subjected to hypoxic stress

A capillary 2-D LC method coupled with IT MS has been used for separation and identification of peptides in rat hypothalamus. Animals of two different age groups (8 and 50 wk) were exposed to two different rates of CO(2 )in inhaled air to investigate the influence of different hypoxia/hypercapnia levels and their stress-related factor on the peptide excretion. Peptide compounds were fractionated (strong cation exchange chromatography), trapped, and separated (RP chromatography), and MS/MS mass spectra were used for identification. About 107 peptide compounds were identified and 88 of them were semiquantified. Among the characterized peptides, there were fragments from proteins such as proenkephalin A, proSAAS, prosomatostatin, prooxytocin, vasopressin, etc. Explorative principal component analysis (PCA) combined with hypothesis testing was applied to the obtained data to investigate the impact of age and hypoxic stress factors on the peptide pattern. Twenty-six peptides revealed significant differences in concentrations between the animal groups influenced by age and influx rate.     

Qualification and application of a liquid chromatography–quadrupole time‐of‐flight mass spectrometric method for the determination of trastuzumab in rat plasma

An liquid chromatography–quadrupole time‐of‐flight (QqTOF) mass spectrometric method was developed for the determination of humanized or human monoclonal antibodies in rat plasma at the early drug discovery stage. Trastuzumab was used as a model monoclonal antibody. The method consisted of immunoprecipitation followed by tryptic digestion for sample preparation and LC‐TOF‐MS/MS analysis of specific signature peptides in the positive ion mode using electrospray ionization for analysis. A stable isotope‐labeled signature peptide was also used as internal standard. A quadratic regression (weighted 1/concentration²), with an equation y = ax² + bx + c, was used to fit calibration curves over the concentration range of 0.500–100 µg/mL for trastuzumab. Samples from a pharmacokinetic study in rat were analyzed by this qualified LC‐TOF‐MS/MS method and concentrations were compared with those generated by enzyme linked immunosorbent assays method. The LC‐TOF‐MS/MS method was accurate and precise, with quantitative results comparable with those of ELISA. The qualification run met the acceptance criteria of ±25% accuracy and precision values for quality control samples. Within‐run accuracy ranged from 1.53 to 9.20% with precision values ≤10.29%. This LC‐TOF‐MS/MS method approach could be used as a complementary method for humanized or human monoclonal antibodies at the early drug discovery stage. Copyright © 2015 John Wiley & Sons, Ltd.     

Characterization of N-terminal processing of group VIA phospholipase A<Subscript>2</Subscript> and of potential cleavage sites of amyloid precursor protein constructs by automated identification of signature peptides in LC/MS/MS analyses of proteolytic digests

Dysregulation of proteolytic processing of the amyloid precursor protein (APP) contributes to the pathogenesis of Alzheimer's Disease, and the Group VIA phospholipase A(2) (iPLA(2)beta) is the dominant PLA(2) enzyme in the central nervous system and is subject to regulatory proteolytic processing. We have identified novel N-terminal variants of iPLA(2)beta and previously unrecognized proteolysis sites in APP constructs with a C-terminal 6-myc tag by automated identification of signature peptides in LC/MS/MS analyses of proteolytic digests. We have developed a Signature-Discovery (SD) program to characterize protein isoforms by identifying signature peptides that arise from proteolytic processing in vivo. This program analyzes MS/MS data from LC analyses of proteolytic digests of protein mixtures that can include incompletely resolved components in biological samples. This reduces requirements for purification and thereby minimizes artifactual modifications during sample processing. A new algorithm to generate the theoretical signature peptide set and to calculate similarity scores between predicted and observed mass spectra has been tested and optimized with model proteins. The program has been applied to the identification of variants of proteins of biological interest, including APP cleavage products and iPLA(2)beta, and such applications demonstrate the utility of this approach.     

An analytical strategy for identification of a somatotropin‐like bioactive peptide by ion trap liquid chromatography/electrospray ionization tandem mass spectrometry after immuno‐affinity purification from buffalo serum

The use of growth hormones, such as native and recombinant somatotropins, is forbidden in the European Union (EU), but is legal in the USA. The misuse of recombinant bovine somatotropin in Italy is suspected for enhancing milk production, thanks to its availability on the illegal market. A synthetic bioactive peptide of 27 amino acids derived from bovine somatotropin was successfully tested in France and in southern Italy for scientific purposes, to stimulate milk production, both in cows and buffaloes. This somatotropin‐like peptide (PEP‐ST), suspected for illegal use in southern Italy, was synthesized by linking the 104–113 sequence of bovine somatotropin to the 323–339 sequence of ovalbumin. Herein, a method for detection and identification of the PEP‐ST in buffalo serum is described; our strategy was based on the production of IgG anti‐PEP‐ST, used to synthesize an immuno‐affinity column for peptide purification from buffalo serum, prior to analysis by ion trap liquid chromatography/electrospray ionization tandem mass spectrometry (LC/ESI‐MS/MS). The immuno‐affinity column was successfully used to purify in a single step the bioactive PEP‐ST from buffalo serum samples spiked at 20, 50 and 200 µg/mL for confirmatory analysis. Ion trap LC/ESI‐MS/MS identification was based on detection of a multi‐charged molecular ion and its characteristic fragmentation pattern. No significant matrix interference was observed, accounting for method specificity. We consider this strategy to be a basic approach that could be improved in the perspective of the official control of illegal use of somatotropin and somatotropin‐like compounds in buffalo breeding. Copyright © 2009 John Wiley & Sons, Ltd.     

Multidimensional separation of tryptic peptides from human serum proteins using reversed‐phase,strong cation exchange,weak anion exchange,and fused‐core fluorinated stationary phases

Proteome profiling of crude serum is a challenging task due to the wide dynamic range of protein concentrations and the presence of high‐abundance proteins, which cover >90% of the total protein mass in serum. Peptide fractionation on strong cation exchange, weak anion exchange in the electrostatic repulsion hydrophilic interaction chromatography (ERLIC) mode, RP C₁₈ at pH 2.5 (low pH), fused‐core fluorinated at pH 2.5, and RP C₁₈ at pH 9.7 (high pH) stationary phases resulted in two to three times more identified proteins and three to four times more identified peptides in comparison with 1D nanoChip‐LC–MS/MS quadrupole TOF analysis (45 proteins, 185 peptides). The largest number of peptides and proteins was identified after prefractionation in the ERLIC mode due to the more uniform distribution of peptides among the collected fractions and on the RP column at high pH due to the high efficiency of RP separations and the complementary selectivity of both techniques to low‐pH RP chromatography. A 3D separation scheme combining ERLIC, high‐pH RP, and low‐pH nanoChip‐LC–MS/MS for crude serum proteome profiling resulted in the identification of 208 proteins and 1088 peptides with the lowest reported concentration of 11 ng/mL for heat shock protein 74.