Quantitative top-down proteomics of SILAC labeled human embryonic stem cells

Human embryonic stem cells (hESCs) are self-renewing pluripotent cells with relevance to treatment of numerous medical conditions. However, a global understanding of the role of the hESC proteome in maintaining pluripotency or triggering differentiation is still largely lacking. The emergence of top-down proteomics has facilitated the identification and characterization of intact protein forms that are not readily apparent in bottom-up studies. Combined with metabolic labeling techniques such as stable isotope labeling by amino acids in cell culture (SILAC), quantitative comparison of intact protein expression under differing experimental conditions is possible. Herein, quantitative top-down proteomics of hESCs is demonstrated using the SILAC method and nano-flow reverse phase chromatography directly coupled to a linear-ion-trap Fourier transform ion cyclotron resonance mass spectrometer (nLC-LTQ-FT-ICR-MS). In this study, which to the best of our knowledge represents the first top-down analysis of hESCs, we have confidently identified 11 proteins by accurate intact mass, MS/MS, and amino acid counting facilitated by SILAC labeling. Although quantification is challenging due to the incorporation of multiple labeled amino acids (i.e., lysine and arginine) and arginine to proline conversion, we are able to quantitatively account for these phenomena using a mathematical model.     

Quantitative proteomics for cancer biomarker discovery

The mass spectrometry (MS)-based quantitative proteomics is powerful to discover disease biomarkers that can provide diagnostic, prognostic and therapeutic targets, and it also can address important problems in clinical and translational medical research. The current status of MS-based quantification strategy and technical advances of several main quantitative assays (two-dimensional (2-D) gel-based methods, stable isotope labeling with amino acids in cell culture (SILAC), isotope-coded affinity tag (ICAT), the isobaric tags for relative and absolute quantification (iTRAQ), 1?O labeling, absolute quantitation and label-free quantitation) have been summarized and reviewed. At present, except 2-D gel-based methods, several stable isotope labeling quantitative techniques, including SILAC, ICAT and iTRAQ, etc, have been widely applied in identification of differential expression of proteins, post-translational modifications and protein-protein interactions in order to look for novel candidate cancer biomarkers from different physiological states of cells, body fluids or tissue samples. Also, the advantages and challenges of different quantitative proteomic approaches are discussed in identification and validation of candidate targets.     

Top-down quantitation and characterization of SILAC-labeled proteins

Stable isotope labeling by amino acids in cell culture (SILAC) has become a popular labeling strategy for peptide quantitation in proteomics experiments. If the SILAC technology could be extended to intact proteins, it would enable direct quantitation of their relative expression levels and of the degree of modification between different samples. Here we show through modeling and experiments that SILAC is suitable for intact protein quantitation and top-down characterization. When SILAC-labeling lysine and/or arginine, peaks of light and heavy SILAC-doublets do not interfere with peaks of different charge states at least between 10 and 200 kDa. Unlike chemical methods, SILAC ensures complete incorporation-all amino acids are labeled. The isotopic enrichment of commercially available SILAC amino acids of nominally 95% to 98% shifts the mass difference between light and heavy state but does not lead to appreciably broadened peaks. We expressed labeled and unlabeled Grb2, a 28 kDa signaling protein, and showed that the two forms can be quantified with an average standard deviation of 6%. We performed on-line top-down sequencing of both forms in a hybrid linear ion trap orbitrap instrument. The quantized mass offset between fragments provided information about the number of labeled residues in the fragments, thereby simplifying protein identification and characterization.     

结构蛋白质组学研究进展

蛋白质结构与其生物学功能直接相关，蛋白质功能的调控也主要依赖于其构象和相互作用的动态调节。对蛋白质结构和功能的研究一直是生命科学领域的研究热点，也是当前蛋白质组学研究的重要发展方向。该综述重点讨论了近年来基于质谱的结构蛋白质组学主要分析方法的原理、进展和应用，主要包括非变性质谱法、限制性蛋白质酶切法、化学交联法、氢氘交换法、共价化学标记法、热稳定性分析法等；最后对结构蛋白质组学的发展进行了总结与展望。     

QTIPS: A novel method of unsupervised determination of isotopic amino acid distribution in SILAC experiments

Stable incorporation of labeled amino acids in cell culture is a simple approach to label proteins in vivo for mass spectrometric quantification. Full incorporation of isotopically heavy amino acids facilitates accurate quantification of proteins from different cultures, yet analysis methods for determination of incorporation are cumbersome and time-consuming. We present QTIPS, Quantification by Total Identified Peptides for SILAC, a straightforward, accurate method to determine the level of heavy amino acid incorporation throughout a population of peptides detected by mass spectrometry. Using QTIPS, we show that the incorporation of heavy amino acids in baker’s yeast is unaffected by the use of prototrophic strains, indicating that auxotrophy is not a requirement for SILAC experiments in this organism. This method has general utility for multiple applications where isotopic labeling is used for quantification in mass spectrometry.     

Comparison of stable-isotope labeling with amino acids in cell culture and spectral counting for relative quantification of protein expression

Protein quantification is one of the principal goals of mass spectrometry (MS)-based proteomics, and many strategies exist to achieve it. Several approaches involve the incorporation of a stable-isotope label using either chemical derivatization, enzymatically catalyzed incorporation of (18)O, or metabolic labeling in a cell or tissue culture. These techniques can be cost or time prohibitive or not amenable to the biological system of interest. Label-free techniques including those utilizing integrated ion abundance and spectral counting offer an alternative to stable-isotope-based methodologies. Herein, we present the comparison of stable-isotope labeling of amino acids in cell culture (SILAC) with spectral counting for the quantification of human embryonic stem cells as they differentiate toward the trophectoderm at three time points. Our spectral counting experimental strategy resulted in the identification of 2641 protein groups across three time points with an average sequence coverage of 30.3%, of which 1837 could be quantified with more than five spectral counts. SILAC quantification was able to identify 1369 protein groups with an average coverage of 24.7%, of which 1027 could be quantified across all time points. Within this context we further explore the capacity of each strategy for proteome coverage, variation in quantification, and the relative sensitivity of each technique to the detection of change in relative protein expression.     

比较蛋白质组学研究中的稳定同位素标记技术

比较蛋白质组学是指在蛋白质组学水平上研究正常和病理情况下细胞或组织中蛋白质表达变化,以期发现具有重要功能的生物标识物,为疾病的早期诊断提供依据。近年来它正成为蛋白质组学研究的热点和发展趋势。比较蛋白质组学的研究方法和策略有多种,本文就最近几年来稳定同位素标记技术(体内代谢标记技术和体外化学标记技术)在比较蛋白质组学研究中的进展进行综述。     

Fully automated software solution for protein quantitation by global metabolic labeling with stable isotopes

Metabolic stable isotope labeling is increasingly employed for accurate protein (and metabolite) quantitation using mass spectrometry (MS). It provides sample-specific isotopologues that can be used to facilitate comparative analysis of two or more samples. Stable Isotope Labeling by Amino acids in Cell culture (SILAC) has been used for almost a decade in proteomic research and analytical software solutions have been established that provide an easy and integrated workflow for elucidating sample abundance ratios for most MS data formats. While SILAC is a discrete labeling method using specific amino acids, global metabolic stable isotope labeling using isotopes such as (15)N labels the entire element content of the sample, i.e. for (15)N the entire peptide backbone in addition to all nitrogen-containing side chains. Although global metabolic labeling can deliver advantages with regard to isotope incorporation and costs, the requirements for data analysis are more demanding because, for instance for polypeptides, the mass difference introduced by the label depends on the amino acid composition. Consequently, there has been less progress on the automation of the data processing and mining steps for this type of protein quantitation. Here, we present a new integrated software solution for the quantitative analysis of protein expression in differential samples and show the benefits of high-resolution MS data in quantitative proteomic analyses.     

The Application of Fluorine‐Containing Reagents in Structural Proteomics

Structural proteomics refers to large‐scale mapping of protein structures in order to understand the relationship between protein sequence, structure, and function. Chemical labeling, in combination with mass‐spectrometry (MS) analysis, have emerged as powerful tools to enable a broad range of biological applications in structural proteomics. The key to success is a biocompatible reagent that modifies a protein without affecting its high‐order structure. Fluorine, well‐known to exert profound effects on the physical and chemical properties of reagents, should have an impact on structural proteomics. In this Minireview, we describe several fluorine‐containing reagents that can be applied in structural proteomics. We organize their applications around four MS‐based techniques: a) affinity labeling, b) activity‐based protein profiling (ABPP), c) protein footprinting, and d) protein cross‐linking. Our aim is to provide an overview of the research, development, and application of fluorine‐containing reagents in protein structural studies.     

Multi-dimensional liquid chromatography in proteomics—A review

Proteomics is the large-scale study of proteins, particularly their expression, structures and functions. This still-emerging combination of technologies aims to describe and characterize all expressed proteins in a biological system. Because of upper limits on mass detection of mass spectrometers, proteins are usually digested into peptides and the peptides are then separated, identified and quantified from this complex enzymatic digest. The problem in digesting proteins first and then analyzing the peptide cleavage fragments by mass spectrometry is that huge numbers of peptides are generated that overwhelm direct mass spectral analyses. The objective in the liquid chromatography approach to proteomics is to fractionate peptide mixtures to enable and maximize identification and quantification of the component peptides by mass spectrometry. This review will focus on existing multidimensional liquid chromatographic (MDLC) platforms developed for proteomics and their application in combination with other techniques such as stable isotope labeling. We also provide some perspectives on likely future developments.     

Absolute protein quantification by LC-ICP-MS using MeCAT peptide labeling

Nowadays, the most common strategies used in quantitative proteomics are based on isotope-coded labeling followed by specific molecule mass spectrometry. The implementation of inductively coupled plasma mass spectrometry (ICP-MS) for quantitative purposes can solve important drawbacks such as lack of sensitivity, structure-dependent responses, or difficulties in absolute quantification. Recently, lanthanide-containing labels as metal-coded affinity tag (MeCAT) reagents have been introduced, increasing the interest and scope of elemental mass spectrometry techniques for quantitative proteomics. In this work one of the first methodologies for absolute quantification of peptides and proteins using MeCAT labeling is presented. Liquid chromatography (LC) interfaced to ICP-MS has been used to separate and quantify labeled peptides while LC coupled to electrospray ionization mass spectrometry served for identification tasks. Synthetic-labeled peptides were used as standards to calibrate the response of the detector with compounds as close as possible to the target species. External calibration was employed as a quantification technique. The first step to apply this approach was MeCAT-Eu labeling and quantification by isotope dilution ICP-MS of the selected peptides. The standards were mixed in different concentrations and subjected to reverse-phase chromatography before ICP-MS detection to consider the column effect over the peptides. Thus, the prepared multi-peptide mix allowed a calibration curve to be obtained in a single chromatographic run, correcting possible non-quantitative elutions of the peptides from the column. The quantification strategy was successfully applied to other labeled peptides and to standard proteins such as digested lysozyme and bovine serum albumin.     

18O同位素标记定量肽段串联体蛋白质结合同位素稀释-多反应监测质谱的蛋白质绝对定量新方法

建立了定量肽段串联体蛋白质(concatamers of Q peptides, QconCATs)结合¹⁸O同位素标记-多反应监测质谱的蛋白质绝对定量新方法。首先对QconCAT重组蛋白质进行了纯度表征,十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)表征结果表明重组蛋白质的纯度在99%以上,相对分子质量约为63.4 kDa。对QconCAT重组蛋白质酶切后的肽段混合物进行质谱分析,并经pFind和pLabel软件处理,验证了目标肽段。还考察了QconCAT重组蛋白质的酶切效率和¹⁸O标记效率,并对QconCAT蛋白质结合¹⁸O标记-同位素稀释-多反应监测质谱方法进行了评价。实验结果表明,采用该方法对腾冲嗜热厌氧菌(Thermoanaerobacter tengcongensis, TTE)中选定蛋白质的肽段进行绝对含量测定时,相对标准偏差小于20%,准确度较高,说明该方法可用于复杂生物样本中蛋白质的绝对定量。更重要的是所建方法不仅解决了细胞培养氨基酸稳定同位素标记(SILAC)技术的重标试剂价格昂贵的问题,也为定量蛋白质组学提供了一种新的方法。     

Comprehensive profiling of CTP-binding proteins using a biotinylated CTP affinity probe

Recent studies have shown that CTP may act as a ligand to regulate the activity of its target proteins in many biological processes. However, proteome-wide identification of CTP-binding proteins remains challenging. Here, we employed a biotinylated CTP affinity probe coupled with stable isotope labeling by amino acids in cell culture (SILAC)-based quantitative proteomics approach to capture, identify and quantify CTP-binding proteins in human cells. By performing two types of competitive SILAC experiments with high vs. low concentrations of CTP probe (100 vs. 10 µmol/L) or with CTP probe in the presence of free CTP, we identified 90 potential CTP-binding proteins which are involved in a variety of biological processes, including protein folding, nucleotide binding and cell-cell adhesion. Together, we developed a chemical proteomic method for uncovering the CTP-binding proteins in human cells, which could be widely applicable for profiling CTP-binding proteins in other biological samples.     

MeCAT—new iodoacetamide reagents for metal labeling of proteins and peptides

Besides protein identification via mass spectrometric methods, protein and peptide quantification has become more and more important in order to tackle biological questions. Methods like differential gel electrophoresis or enzyme-linked immunosorbent assays have been used to assess protein concentrations, while stable isotope labeling methods are also well established in quantitative proteomics. Recently, we developed metal-coded affinity tagging (MeCAT) as an alternative for accurate and sensitive quantification of peptides and proteins. In addition to absolute quantification via inductively coupled plasma mass spectrometry, MeCAT also enables sequence analysis via electrospray ionization tandem mass spectrometry. In the current study, we developed a new labeling approach utilizing an iodoacetamide MeCAT reagent (MeCAT-IA). The MeCAT-IA approach shows distinct advantages over the previously used MeCAT with maleinimide reactivity such as higher labeling efficiency and the lack of diastereomer formation during labeling. Here, we present a careful characterization of this new method focusing on the labeling process, which yields complete tagging with an excess of reagent of 1.6 to 1, less complex chromatographic behavior, and fragmentation characteristics of the tagged peptides using the iodoacetamide MeCAT reagent.     

Technological Advancements in Mass Spectrometry and Its Impact on Proteomics

Amalgamation of mass spectrometry (MS) and proteomics has led to the most awaited technological inventions such as discovery of clinically potential biomarkers and generation of effective drugs. This review focuses on the synergistic growth in MS instrumentation, proteomics and its impact on biomedical sciences. Novel ionization methods: surface enhanced laser desorption ionization, electrospray assisted laser desorption ionization, desorption electrospray ionization, laser diode thermal desorption are discussed. Different mass analyzers: ion trap, time-of-flight, Fourier transform ion cyclotron resonance and their applications are outlined. New ion fragmentation techniques: electron capture dissociation, electron transfer dissociation, infrared multiphoton dissociation and their attributes are described.     

Rapid determination of amino acid incorporation by stable isotope labeling with amino acids in cell culture (SILAC)

Stable isotope labeling with amino acids in cell culture (SILAC) has evolved to be a major technique for quantitative proteomics using cell cultures. We developed a rapid method to follow and determine the incorporation of arginine and lysine. Analysis of the heavy state is required to avoid quantification errors. Moreover, the mixture of light and heavy states can be exploited to normalize the protein amount for subsequent relative quantification experiments. Therefore, peptides from different cell lines were extracted with 0.1% trifluoroacetic acid and analyzed by matrix-assisted laser desorption/ionization tandem time-of-flight (MALDI-TOF/TOF) mass spectrometry (MS). This analysis was highly reproducible and was performed in less than 2 h, significantly faster than other methods for the same purpose. Similar peptide mass profiles were obtained for human EBV-transformed B, Jurkat T, and HeLa cells as well as for mouse embryonic fibroblasts. Proteolytic fragments of 27 human proteins were identified with 56 peptides by MALDI-MS/MS and can be used as a database for these kinds of experiments. Sequencing revealed that the peptides were predominantly amino- and carboxy-terminal protein fragments displaying a specificity characteristic of the acidic proteases cathepsin D and E. Many of the identified peptides contained arginine and/or lysine, allowing determination of the incorporation rate of these amino acids. Furthermore, the rate of conversion of arginine into proline could be monitored easily.     

Enhancement of mass spectrometry performance for proteomic analyses using highfield asymmetric waveform ion mobility spectrometry (FAIMS)

Remarkable advances in mass spectrometry sensitivity and resolution have been accomplished over the past two decades to enhance the depth and coverage of proteome analyses. As these technological developments expanded the detection capability of mass spectrometers, they also revealed an increasing complexity of low abundance peptides, solvent clusters and sample contaminants that can confound protein identification. Separation techniques that are complementary and can be used in combination with liquid chromatography are often sought to improve mass spectrometry sensitivity for proteomics applications. In this context, high‐field asymmetric waveform ion mobility spectrometry (FAIMS), a form of ion mobility that exploits ion separation at low and high electric fields, has shown significant advantages by focusing and separating multiply charged peptide ions from singly charged interferences. This paper examines the analytical benefits of FAIMS in proteomics to separate co‐eluting peptide isomers and to enhance peptide detection and quantitative measurements of protein digests via native peptides (label‐free) or isotopically labeled peptides from metabolic labeling or chemical tagging experiments. Copyright © 2015 John Wiley & Sons, Ltd.     

The use of mass defect in modern mass spectrometry

Mass defect is defined as the difference between a compound's exact mass and its nominal mass. This concept has been increasingly used in mass spectrometry over the years, mainly due to the growing use of high resolution mass spectrometers capable of exact mass measurements in many application areas in analytical and bioanalytical chemistry. This article is meant as an introduction to the different uses of mass defect in applications using modern MS instrumentation. Visualizing complex mass spectra may be simplified with the concept of Kendrick mass by plotting nominal mass as a function of Kendrick mass defect, based on hydrocarbons subunits, as well as slight variations on this theme. Mass defect filtering of complex MS data has been used for selectively detecting compounds of interest, including drugs and their metabolites or endogenous compounds such as peptides and small molecule metabolites. Several strategies have been applied for labeling analytes with reagents containing unique mass defect features, thus shifting molecules into a less noisy area in the mass spectrum, thus increasing their detectability, especially in the area of proteomics. All these concepts will be covered to introduce the interested reader to the plethora of possibilities of mass defect analysis of high resolution mass spectra. Copyright © 2012 John Wiley & Sons, Ltd.     

A systematic approach to assess amino acid conversions in SILAC experiments

SILAC is a widely accepted approach for quantitative proteomics in which proteins are labeled with stable isotopes during cell culture. A major drawback of this technique is the metabolic conversion of labeled amino acids that may hamper accurate quantification. A paradigmatic example of this phenomenon is the generation of labeled proline from arginine, known to occur in a good number of biological models. We propose a novel methodology to identify and quantitate metabolic conversions as well as to evaluate labeling efficiency in SILAC experiments. In this approach, labeled proteins are reduced to amino acids by acid hydrolysis before LC-MS/MS analysis. Since it is carried out at the amino acid level, tracking the fate of the isotope label is straightforward and can be performed for each amino acid independently. After applying this method to mammalian cells, grown in the presence of heavy arginine and lysine, labeling efficiency and amino acid conversions could be accurately evaluated. Only undesirable labeling of proline was found to occur at a significant extent, varying greatly among cell lines. Finally, increasing proline concentration in the growing medium was shown to be effective at preventing arginine conversion without any noticeable side effect.