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。     

基于质谱技术的蛋白质组定量方法

对不同状态下的蛋白质在表达和修饰水平上进行精确定量,对于探索蛋白质的生物功能、发现疾病的生物标志物都具有重要意义,也是当前蛋白质组学的一个重要研究前沿。近年来,各种蛋白质组定量的新技术和新方法不断涌现,但仍面临着巨大挑战。本文就基于质谱技术的多种蛋白质组定量方法的基本原理、近几年的研究进展和应用进行评述。     

蛋白质组研究中的化学"探针"

随着蛋白质组学概念的提出以及诸如血浆蛋白质组等有影响力的计划开展, 蛋白质组研究迅速发展起来, 这门基于分析化学和物理化学的领域也逐渐为广大生物学家所关注, 同时也相应地在细胞生物学、生物化学等领域的研究中崭露头角。蛋白质表达量的变化以及各种各样的修饰无不反映出机体对环境变化的应激和自身功能的需要。因此, 定量蛋白质组和修饰化的蛋白质组成为了目前蛋白质组研究的重要领域之一。文章着重从采用化学标记实现定量和修饰化研究这个角度来介绍近些年来在这方面取得的进展, 希望对生物学领域的研究有所借鉴。     

Synapse proteomics: current status and quantitative applications

Chemical synapses are key organelles for neurotransmission. The coordinated actions of protein networks in diverse synaptic subdomains drive the sequential molecular events of transmitter release from the presynaptic bouton, activation of transmitter receptors located in the postsynaptic density and the changes of postsynaptic potential. Plastic change of synaptic efficacy is thought to be caused by the alteration of protein constituents and their interaction in the synapse. As a first step toward the understanding of the organization of synapse, several proteomics studies have been carried out to profile the protein constituents and the post-translational modifications in various rodent excitatory chemical synaptic subdomains, including postsynaptic density, synaptic vesicle and the synaptic phosphoproteome. Quantitative proteomics have been applied to examine the changes of synaptic proteins during brain development, in knockout mice model developed for studies of synapse physiology and in rodent models of brain disorders. These analyses generate testable hypotheses of synapse function and regulation both in health and disease.     

Advances in quantitative proteomics using stable isotope tags

A great deal of current biological and clinical research is directed at the interpretation of the information contained in the human genome sequence in terms of the structure, function and control of biological systems and processes. Proteomics, the systematic analysis of proteins, is becoming a critical component in this endeavor because proteomic measurements are carried out directly on proteins – the catalysts and effectors of essentially all biological functions. To detect changes in protein profiles that might provide important diagnostic or functional insights, proteomic analyses necessarily have to be quantitative. This article summarizes recent technological advances in quantitative proteomics.     

Probing the global kinome and phosphoproteome in Chlamydomonas reinhardtii via sequential enrichment and quantitative proteomics

The identification of dynamic protein phosphorylation events is critical for understanding kinase/phosphatase‐regulated signaling pathways. To date, protein phosphorylation and kinase expression have been examined independently in photosynthetic organisms. Here we present a method to study the global kinome and phosphoproteome in tandem in a model photosynthetic organism, the alga Chlamydomonas reinhardtii (Chlamydomonas), using mass spectrometry‐based label‐free proteomics. A dual enrichment strategy targets intact protein kinases via capture on immobilized multiplexed inhibitor beads with subsequent proteolytic digestion of unbound proteins and peptide‐based phosphorylation enrichment. To increase depth of coverage, both data‐dependent and data‐independent (via SWATH, Sequential Windowed Acquisition of All Theoretical Fragment Ion Mass Spectra) mass spectrometric acquisitions were performed to obtain a more than 50% increase in coverage of the enriched Chlamydomonas kinome over coverage found with no enrichment. The quantitative phosphoproteomic dataset yielded 2250 phosphopeptides and 1314 localized phosphosites with excellent reproducibility across biological replicates (90% of quantified sites with coefficient of variation below 11%). This approach enables simultaneous investigation of kinases and phosphorylation events at the global level to facilitate understanding of kinase networks and their influence in cell signaling events.     

Label‐free quantitative proteome analysis of skeletal tissues under mechanical load

Skeletal tissue has the capability to adapt its mass and structure in response to mechanical stress. However, the molecular mechanism of bone and cartilage to respond to mechanical stress are not fully understood. A label‐free quantitative proteome approach was used for the first time to obtain a global perspective of the response of skeletal tissue to mechanical stress. Label‐free quantitative analysis of 1D‐PAGE‐LC/MS/MS based proteomics was applied to identify differentially expressed proteins. Differential expression analysis in the experimental groups and control group showed significant changes for 248 proteins including proteins related to proliferation, differentiation, regulation of signal transduction and energy metabolic pathways. Fluorescence labeling by incorporation of alizarin/calcein in newly formed bone minerals qualitatively demonstrated new bone formation. Skeletal tissues under mechanical load evoked marked new bone formation in comparison with the control group. Bone material apposition was evident. Our data suggest that 39 proteins were assigned a role in anabolic process. Comparisons of anabolic versus catabolic features of the proteomes show that 42 proteins were related to catabolic. In addition, some proteins were related to regulation of signal transduction and energy pathways, such as tropomyosin 4, fibronectin 1, and laminin, might be new molecular targets that are responsive to mechanical force. Differentially expressed proteins identified in this model may offer a useful starting point for elucidating novel aspects of the effects of mechanical force on skeletal tissue. J. Cell. Biochem. 108: 600–611, 2009. © 2009 Wiley‐Liss, Inc.     

Amino acid-coded tagging approaches in quantitative proteomics

To improve the efficiency, accuracy, reproducibility, throughput and proteome coverage of mass spectrometry-based quantitative approaches, both in vitro and in vivo tagging of particular amino acid residues of cellular proteins have been introduced to assist mass spectrometry for global-scale comparative studies of differentially expressed proteins/modifications between different biologically relevant cell states or cells at different pathological states. The basic features of these methods introduce pair-wise isotope signals of each individual peptide containing a particular type of tagged amino acid (amino acid-coded mass tagging) that originated from different cell states. In this review, the applications of major amino acid-coded mass tagging-based quantitative proteomics approaches, including isotope-coded affinity tag, isobaric tags for relative and absolute quantification (iTRAQ?) and stable isotope labeling by amino acids in cell culture are summarized in the context of their respective strengths/weakness in identifying those differentially expressed or post-translational modified proteins regulated by particular cellular stress on a genomic scale in a high-throughput manner. Importantly, these gel-free, in-spectra quantitative mechanisms have been further explored to identify/characterize large-scale protein–protein interactions involving various functional pathways. Taken together, the information about quantitative proteome changes, including multiple regulated proteins and their interconnected relationships, will provide an important insight into the molecular mechanisms, where novel targets for diagnosis and therapeutic intervention will be identified.     

Absolute quantification strategies in proteomics based on mass spectrometry

The strong need for quantitative information in proteomics has fueled the development of mass spectrometry-based analytical methods that are able to determine protein abundances. This article reviews mass spectrometry experiments aimed at providing an absolute quantification of proteins. The experiments make use of the isotope-dilution concept by spiking a known amount of synthetic, isotope-labeled reference peptide into the analyte sample. Quantification is achieved by comparing the mass spectrometry signal intensities of the reference with an endogenous peptide that is generated upon proteolytic cleavage of the target protein. In an analogous manner, the level of post-translational modification at a distinct residue within a target protein can be determined. Among the strengths of absolute quantification are low detection limits reaching subfemtomole levels, a high dynamic range spanning approximately five orders of magnitude, low requirements for sample clean-up, and a fast and straightforward method development. Recent studies have demonstrated the compatibility of absolute quantification with various mass spectrometry readout techniques and sample purification steps such as 1D gel electrophoresis, size-exclusion chromatography, isoelectric peptide focusing, strong cation exchange and reversed phase or affinity chromatography. Under ideal conditions, quantification errors and coefficients of variation below 5% have been reported. However, the fact that at the start of the experiment the analyte is a protein and the internal standard is a peptide, severe quantification errors may result due to the selection of unsuitable reference peptides and/or imperfect protein proteolysis. Within the ensemble of mass spectrometry-based quantification methods, absolute quantification is the method of choice in cases where absolute numbers, many repetitive experiments or precise levels of post-translational modifications are required for a few, preselected species of interest. Consequently, prominent application areas include biomarker quantification, the study of post-translational modifications such as phosphorylation or ubiquitination and the comparison of concentrations of interacting proteins.     

Quantitative proteomics revealed new functions of ALKBH4

ALKBH4 is a versatile demethylase capable of catalyzing the demethylation of monomethylated lysine-84 on actin and N⁶-methyladenine in DNA. In this study, we conducted a quantitative proteomic experiment to reveal the altered expression of proteins in HEK293T cells upon genetic ablation of ALKBH4. Our results showed markedly diminished levels of GSTP1 and HSPB1 proteins in ALKBH4-depleted cells, which emanate from an augmented expression level of DNA (cytosine-5)-methyltransferase 1 (DNMT1) and the ensuing elevated cytosine methylation in the promoter regions of GSTP1 and HSPB1 genes. Together, our results revealed a role of ALKBH4 in modulating DNA cytosine methylation through regulating the expression level of DNMT1 protein.     

SILIP: a novel stable isotope labeling method for in planta quantitative proteomic analysis

Due to ease of manipulation, metabolic isotope coding of samples for proteomic analysis is typically performed in cell culture, thus preventing an accurate in vivo quantitative analysis, which is only achievable in intact organisms. To address this issue in plant biology, we developed SILIP (stable isotope labeling in planta) using tomato plants (Solanum lycopersicum cv. Rutgers) as a method that allows soil-grown plants to be efficiently labeled using a 14N/15N isotope coding strategy. After 2 months of growth on 14N- and 15N-enriched nitrogen sources, proteins were extracted from four distinct tomato tissues (roots, stems, leaves and flowers), digested, and analyzed by LC/MS/MS (data-dependent acquisition, DDA) and alternating low- and elevated-energy MS scans (data-independent acquisition, MS(E)). Using a derived relationship to generate a theoretical standard curve, the measured ratio of the M (monoisotopic) and M-1 isotopologues of 70 identified 15N-labeled peptides from 16 different proteins indicated that 15N incorporation was almost 99%, which is in excellent agreement with the 99.3% 15N-enriched nitrate used in the soil-based medium. Values for the various tissues ranged from 98.2 +/- 0.3% 15N incorporation in leaves to 98.8 2 +/- 0.2% in stems, demonstrating uniform labeling throughout the plant. In addition, SILIP is compatible with root-knot nematode (Meloidogyne spp.) development, and thus provides a new quantitative proteomics tool to study both plant and plant-microorganism systems.     

定量蛋白质组同位素标记技术及应用

定量蛋白质组学是对蛋白质组进行精确的定量和鉴定的学科,突破了传统蛋白质组研究集中于对蛋白质的分离和鉴定,着重于定性定量解析细胞蛋白质的动态变化信息,更真实地反映了细胞功能、过程机制等综合信息。以同位素为内标的质谱分析新技术的提出,显示出可同时自动鉴定和精确定量的能力,代表了目前定量蛋白质组研究的主要发展方向。对近年来定量蛋白质组学同位素标记技术和应用研究所取得的重要进展以及最新的发展动态进行了综述。     

Mass spectrometry-based quantitative proteomic profiling.

Quantitative proteomics involves the identification and quantitation of protein components in various biological systems. Stable isotope labelling technology, by both metabolic and chemical methods, has been the most commonly used approach for global proteome-wide profiling. Recently, its capability has been extended from labelled pairs to multiple labels, allowing for the simultaneous quantification of multiplex samples. The ion intensity-based quantitative approach has progressively gained more popularity as mass spectrometry performance has improved significantly. Although some success has been reported, it remains difficult comprehensively to characterise the global proteome, due to its enormous complexity and dynamic range. The use of sub-proteome fractionation techniques permits a simplification of the proteome and provides a practical step towards the ultimate dissection of the entire proteome. Further development of the technology for targeting sub-proteomes on a functional basis - such as selecting proteins with differential expression profiles from mass spectrometric analyses, for further mass spectrometric sequencing in an intelligent manner--is expected in the near future.     

Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial

Many research questions in fields such as personalized medicine, drug screens or systems biology depend on obtaining consistent and quantitatively accurate proteomics data from many samples. SWATH‐MS is a specific variant of data‐independent acquisition (DIA) methods and is emerging as a technology that combines deep proteome coverage capabilities with quantitative consistency and accuracy. In a SWATH‐MS measurement, all ionized peptides of a given sample that fall within a specified mass range are fragmented in a systematic and unbiased fashion using rather large precursor isolation windows. To analyse SWATH‐MS data, a strategy based on peptide‐centric scoring has been established, which typically requires prior knowledge about the chromatographic and mass spectrometric behaviour of peptides of interest in the form of spectral libraries and peptide query parameters. This tutorial provides guidelines on how to set up and plan a SWATH‐MS experiment, how to perform the mass spectrometric measurement and how to analyse SWATH‐MS data using peptide‐centric scoring. Furthermore, concepts on how to improve SWATH‐MS data acquisition, potential trade‐offs of parameter settings and alternative data analysis strategies are discussed.     

Current trends in computational inference from mass spectrometry-based proteomics

Mass spectrometry offers a high-throughput approach to quantifying the proteome associated with a biological sample and hence has become the primary approach of proteomic analyses. Computation is tightly coupled to this advanced technological platform as a required component of not only peptide and protein identification, but quantification and functional inference, such as protein modifications and interactions. Proteomics faces several key computational challenges such as identification of proteins and peptides from tandem mass spectra as well as their quantitation. In addition, the application of proteomics to systems biology requires understanding the functional proteome, including how the dynamics of the cell change in response to protein modifications and complex interactions between biomolecules. This review presents an overview of recently developed methods and their impact on these core computational challenges currently facing proteomics.     

A novel strategy for quantitative proteomics using isotope-coded protein labels

Stable isotope labelling in combination with mass spectrometry has emerged as a powerful tool to identify and relatively quantify thousands of proteins within complex protein mixtures. Here we describe a novel method, termed isotope-coded protein label (ICPL), which is capable of high-throughput quantitative proteome profiling on a global scale. Since ICPL is based on stable isotope tagging at the frequent free amino groups of isolated intact proteins, it is applicable to any protein sample, including extracts from tissues or body fluids, and compatible to all separation methods currently employed in proteome studies. The method showed highly accurate and reproducible quantification of proteins and yielded high sequence coverage, indispensable for the detection of post-translational modifications and protein isoforms. The efficiency (e.g. accuracy, dynamic range, sensitivity, speed) of the approach is demonstrated by comparative analysis of two differentially spiked proteomes.     

Chemical proteomics and its impact on the drug discovery process

Despite the rapid growth of postgenomic data and fast-paced technology advancement, drug discovery is still a lengthy and difficult process. More effective drug design requires a better understanding of the interaction between drug candidates and their targets/off-targets in various situations. The ability of chemical proteomics to integrate a multiplicity of disciplines enables the direct analysis of protein activities on a proteome-wide scale, which has enormous potential to facilitate drug target elucidation and lead drug verification. Over recent years, chemical proteomics has experienced rapid growth and provided a valuable method for drug target identification and inhibitor discovery. This review introduces basic concepts and technologies of different popular chemical proteomic approaches. It also covers the essential features and recent advances of each approach while underscoring their potentials in drug discovery and development.     

Mass spectrometry technologies for proteomics.

In the late 1980s, the advent of soft ionization techniques capable of generating stable gas phase ions from thermally unstable biomolecules, namely matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI), laid the way for the development of a set of powerful alternatives to the traditional Edman chemistry for the structural characterization of peptides and proteins. The rapid protein identification capabilities that, coupled with two-dimensional gel electrophoresis, provided insights into all sorts of biological systems since the dawn of proteomics and have been exploited in the last few years for the development of more powerful and automatable gel-free strategies, mainly based on multidimensional chromatographic separations of peptides from proteolytic digests. In parallel to the evolution of ion sources, mass analysers and scan modes, the invention of new elegant biochemical strategies to fractionate or simplify highly complex mixtures, or to introduce isotopic labels in peptides in a variety of ways now makes also possible large-scale, high-coverage quantitative studies in a wide dynamic range. In this review, we provide the fundamental concepts of mass spectrometry (MS) and describe the technological progress of MS-based proteomics since its earliest days. Representative literature examples of their true power, either when employed as exploratory or as targeted techniques, is provided as well.