基于生物质谱的乙酸酐稳定同位素标记

建立了一种基于生物质谱的乙酸酐稳定同位素标记,定量蛋白质组学研究方法,优化了影响标记效率的各种条件.在pH 8.0的Na2B4O7/H3BO3 缓冲体系中,当乙酸酐摩尔浓度25倍过量于肽段摩尔量,22℃反应30 min时,标记即可完全.对多对H6/D6-乙酸酐标记肽段在基质辅助激光解吸电离质谱中的动态范围及定量准确度进行了考察,并通过串联质谱分析确定了乙酰化位点.结果表明: 在10倍和30倍动态范围内,线性关系良好(r=0.99, r=0.98),理论值和观测值的偏差分别为0.5%和20%.     

基于质谱技术蛋白质定量方法的研究进展

质谱技术已经成为目前蛋白质鉴定的重要工具。定量分析细胞内蛋白质组的动态变化,是当前研究蛋白质功能、揭示细胞生物机理、寻找疾病蛋白标记物和药物靶标的迫切需要。本文综述了基于质谱技术蛋白质定量的策略、方法和应用等方面近年来的进展,评述了几种蛋白质质谱定量方法的特点和应用潜力。     

基于生物质谱的乙酸酐稳定同位素标记定量蛋白质组学方法的建立与优化

建立了一种基于生物质谱的乙酸酐稳定同位素标记,定量蛋白质组学研究方法,优化了影响标记效率的各种条件。在pH8.0的Na2B4O7/H3BO3缓冲体系中,当乙酸酐摩尔浓度25倍过量于肽段摩尔量,22℃反应30 min时,标记即可完全。对多对H6/D6-乙酸酐标记肽段在基质辅助激光解吸电离质谱中的动态范围及定量准确度进行了考察,并通过串联质谱分析确定了乙酰化位点。结果表明:在10倍和30倍动态范围内,线性关系良好(r=0.99,r=0.98),理论值和观测值的偏差分别为0.5%和20%。     

基于稳定同位素标记的蛋白质组学定量方法研究进展

定量蛋白质组学已经成为后基因时代的重要研究方向之一。目前该领域的研究主要采用无标记定量方法和稳定同位素标记定量法。其中,基于稳定同位素标记的蛋白质组定量方法发展非常迅速,已为生命科学研究提供了重要的技术支撑。本文分析了基于稳定同位素标记的蛋白质组学定量方法,包括相对定量方法和绝对定量方法,并对其发展进行了展望。     

18O稳定同位素标记定量蛋白质组研究技术的建立与优化

建立了18O稳定同位素标记方法,用于复杂体系蛋白质相对定量分析。对影响蛋白质标记稳定性的实验条件进行了比较和优化。结果表明,采用酶切后标记的方法,酶切肽段在胰酶催化下,在pH 5.0的K2HPO4/KH2PO4缓冲体系中,37℃18O标记反应16 h,绝大部分肽段即可达到100%的标记效率。对多个16O/18O成对肽段峰强度的动态范围及定量准确度进行了考察。结果表明,18O标记方法是一种简便、稳定、可靠的相对定量方法,10倍动态范围内,标记率相对标准偏差在18.4%以内,16O/18O峰强度呈很好的线性关系。本实验考察了标记后的肽段在不同溶液体系中的稳定性,为复杂样品的预处理和预分离的溶液条件提供了依据。     

小硅藻光合作用脂13 C稳定同位素定量标记分析

以小硅藻( Nitzschia closterium f. minutissima)作为研究对象,利用超高压液相色谱联用四极杆-静电场轨道阱高分辨质谱技术,研究了处于平台期的小硅藻中的光合作用脂被13 C标记的程度和速度。结果显示：在平台期13 C人工标记的10天内,所有4类光合作用脂均被13 C明显标记,其中二酰甘油双半乳糖脂( DG-DG)、磷脂酰甘油( PG)、二酰甘油硫代糖脂( SQDG)被13 C标记的总量,从刚进入平台期到平台期第8天逐渐增加,此后出现下降趋势,在第8天分别达到最大值(173±24) ng/mg,(473±41) ng/mg 及(1224±21) ng/mg,标记率分别达到56.3%,38.4%和62.6%;而二酰甘油单半乳糖脂(MGDG)被13C标记的总量在整个平台期呈现持续上升趋势,并在第10天达到(956±51) ng/mg,标记率为87.3%。可见,不同脂质在藻体内合成的先后时间有差别,为了清晰地了解生物摄食过程中对微藻中特定脂类的同化机理,需要藻体内被13 C标记的每类脂质含量的最大化,针对DGDG、PG、SQDG,应选取标记了8天的微藻来投喂生物,而针对MGDG,则应选取标记了10天的微藻投喂生物。     

基于生物质谱的定量蛋白质组学研究进展

随着蛋白质组研究和生物质谱技术的发展,大规模的蛋白质组相对定量和绝对定量已经成为了解生命活动进程、疾病发生发展过程以及生物标志物筛选和验证的重要策略,并形成蛋白质组学研究领域的一个重要分支：定量蛋白质组学.综述了近年来定量蛋白质组学的研究进展,并对其中的关键技术进行讨论.     

表达蛋白质质谱分析

对基因编码的蛋白质进行系统分析可以为注释基因组信息和研究疾病发生机理提供参考.质谱因其高通量、高灵敏度和高精度等特点成为蛋白质表达谱研究的核心技术.过去10年,质谱技术的发展大大促进了蛋白质表达谱的研究.本文综述了蛋白质表达谱的定性和定量研究进展,并展望了进一步的研究方向.     

用于质谱的稳定同位素化学标记技术

近年来,稳定同位素化学标记结合质谱技术在定量蛋白质组学、代谢组学及转化医学等领域得到了广泛的应用.从同位素标记的官能团的角度进行了分类,除了传统的、商品化的同位素标记技术,还综述了一些最新报道的针对巯基、氨基和羧基等基团的特异性和非特异性同位素标记的策略及应用等方面的研究进展,并对此方面的发展趋势和应用前景进行了展望.     

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。     

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。     

蛋白质中二硫键的定位及其质谱分析

二硫键是一种常见的蛋白质翻译后修饰,对稳定蛋白质的空间结构,保持及调节其生物活性等都有着非常重要的作用。因此,确定二硫键在蛋白质中的位置是全面了解含二硫键蛋白化学结构的重要方面。在众多实验方法中,现代质谱技术因其操作简单、快速、灵敏等优点而成为分析二硫键的重要手段。本文介绍了目前主要的定位二硫键的方法,以及质谱在二硫键定位分析中的应用与进展。     

Quantitative mass spectrometry in proteomics: a critical review

The quantification of differences between two or more physiological states of a biological system is among the most important but also most challenging technical tasks in proteomics. In addition to the classical methods of differential protein gel or blot staining by dyes and fluorophores, mass-spectrometry-based quantification methods have gained increasing popularity over the past five years. Most of these methods employ differential stable isotope labeling to create a specific mass tag that can be recognized by a mass spectrometer and at the same time provide the basis for quantification. These mass tags can be introduced into proteins or peptides (i) metabolically, (ii) by chemical means, (iii) enzymatically, or (iv) provided by spiked synthetic peptide standards. In contrast, label-free quantification approaches aim to correlate the mass spectrometric signal of intact proteolytic peptides or the number of peptide sequencing events with the relative or absolute protein quantity directly. In this review, we critically examine the more commonly used quantitative mass spectrometry methods for their individual merits and discuss challenges in arriving at meaningful interpretations of quantitative proteomic data.     

Quantification of intact covalently metal labeled proteins using ESI‐MS/MS

Mass spectrometric methods matured from the successful qualitative characterization of proteins in complex mixtures into methods for quantitative proteomics often based on chemical tags with stable isotope labeling. In the study presented here, we extended the application of lanthanide‐ion‐based tags from the quantification using inductively coupled plasma‐MS into the quantification of labeled intact proteins using electrospray ionization (ESI)‐MS and ESI‐MS/MS. We applied the metal chelate tag MeCAT‐iodoacetamide (IA) (1,4,7,10‐tetraazacyclododecane N,N′,N″,N″ ′‐tetra acetic acid with a IA reactive site). Labeled proteins were separated using C3‐reversed phase‐high‐performance liquid chromatography interfaced to ESI‐MS. We could prove that even large proteins were completely labeled at all available cysteine residues using MeCAT‐IA with only a small excess of reagent. Fragmentation of labeled proteins either using infrared multiphoton dissociation in Fourier transform ion cyclotron resonance‐MS or higher‐energy collision dissociation with an Orbitrap gave characteristic fragments. We used these fragments to quantify several intact proteins avoiding digestion. To demonstrate the applicability, human serum albumin was quantified in blood serum. The high‐performance liquid chromatography/ESI‐MS/MS quantification data were validated using inductively coupled plasma‐MS. Because the metal within the tag may be any of the lanthanides, multiplexing capabilities are inherent. Copyright © 2014 John Wiley & Sons, Ltd.     

Determination of Halide Traces in Environmental Samples by Mass Spectrometric Isotope Dilution Analysis

Abstract

Since 1985, the Goulden large-sample extractor (GLSE) has been used to isolate a broad array of trace-organic contaminants from large volumes of water. In this study, field-applied quality control measures, including matrix and surrogate spikes and blanks, were used to monitor method performance from GLSE extraction through GC-MS analysis. The method was applied to the determination of multiple classes of pesticides isolated from 4- to 112-L filtered surface-water samples. Average recoveries of six surrogate compounds ranged from 84 ± 18% for [²H₁₀]diazinon to 15 ± 13% for 4,4′-[²H₈]DDT, the low recoveries for which were largely a result of unmonitored breakdown of this surrogate by the GC injection system. Field-matrix-spike samples were prepared by fortifying 10-L, 35-L, and 110-L filtered surface-water samples with 68 pesticides to amended concentrations of 11-to 50-ng/L each. Recoveries ranged from not detected to greater than 100%. Variability in pesticide recoveries from triplicate 10-L water samples collected at one site averaged 5.7% relative standard deviation and did not exceed 19%.     

A Stable Isotopic Pre-digestion Labeling Method for Protein Quantitative Analysis Using Matrix-assisted Laser Desorption/ionization Mass Spectrometry

As an extension of our previous work, here a strategy was demonstrated for protein identification and quantification analyses utilizing a combination of stable isotope chemical labeling with subsequent denaturation, enzymatic digestion and matrix assisted laser desorption/ionization time‐of‐flight mass spectrometry (MALDI‐TOF MS). Using [d₀]‐ and [d₆]‐4,6‐dimethoxy‐2‐(methylsulfonyl)pyrimidine ([d₀]‐/[d₆]‐DMMSP), stable isotopic labels were incorporated before digestion. The comparative samples were combined before labeling after digestion, thus biases resulting from differences in sample digestion were avoided and the higher accuracy of quantification could be attained. The labeling was spatial‐selective to particular residues of cysteine, lysine, and tyrosine before denaturation, which could lead to a better universality of the strategy for cysteine‐free proteins. In addition, some lysine residues were blocked after labeling, the partly destroyed recognition sites could simplify the trypsin hydrolysates and hence facilitate the MS complexity. Together, our one‐step labeling strategy combined several desirable properties such as spatial‐selective labeling, reliability of quantitative results, simplification of analysis of complex systems and direct analysis with minimum sample handling. Our results demonstrate the usefulness of the method for analyzing lysozyme in egg white. The method was expected to provide a new powerful tool for comparative proteome research.