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.     

完整糖基化肽段的富集与质谱解析新技术研究进展

蛋白质糖基化是生物体内最重要的翻译后修饰之一,在蛋白质稳定性、细胞内和细胞间信号转导、激素活化或失活和免疫调节等生理过程和病理进程中发挥重要作用。而异常的蛋白质糖基化往往和多种疾病的发生发展密切相关,目前应用于临床检测的多种肿瘤生物标志物大多属于糖蛋白或者糖抗原。因此在组学层次系统分析蛋白质糖基化的变化对阐明生物体内糖基化修饰的调控机理和发现新型疾病标志物都非常重要。基于质谱的蛋白质组学技术为全面分析蛋白质及其修饰提供了有效的分析手段。在自下而上的蛋白质组学研究中,由于完整糖基化肽段同时存在性质各异的肽段骨架和糖链结构、糖肽的相对丰度和离子化效率较低以及糖基化修饰有高度异质性等特点,完整糖肽的分析比其他翻译后修饰更加困难。近年来,为了更全面、系统地分析蛋白质糖基化,研究人员发展了一些新技术,包括完整糖肽的富集技术、质谱的碎裂模式和数据采集模式、质谱数据的解析方法和定量策略等等,大力推进了该领域的研究水平,也为研究蛋白质糖基化相关的生物标志物提供了技术支持。该篇综述主要关注近年来基于质谱的糖蛋白质组学研究中的新进展,重点介绍针对完整N-和O-糖基化肽段的富集新技术和谱图解析新方法,并讨论其在肿瘤早期诊断方面的应用潜力。     

基于质谱的蛋白质组学技术在食品真伪鉴别及品质识别方面的应用

蛋白质组学作为后基因组时代的一个新研究方向,近几年发展迅速,目前已应用于多个领域,在食品品质检测和安全控制方面成为有力的研究工具。蛋白质组学为食品科学的相关研究打开了新思路,不仅可以鉴定蛋白质种类,还可进行蛋白质定量,为分析不同物种、产地、成熟阶段的食品蛋白质组分和含量提供了可能。蛋白质组学研究手段多样,质谱是常用技术之一。该文介绍了蛋白质组学的概念、分类、研究技术以及常见蛋白质数据库,综述了基于质谱的蛋白质组学技术在真伪鉴别和品质检测方面的应用,涉及海鲜、肉制品、奶制品、保健食品及高附加值食品等多种食品,并对蛋白质组学的发展进行了展望。     

高通量蛋白质组学分析研究进展

基于质谱的蛋白质组学技术已经日趋成熟,可以对细胞和组织中的成千上万种蛋白质进行全面的定性和定量分析,逐步实现“深度覆盖”。随着生物医学日益增长的大队列蛋白质组学分析需求,如何在保持较为理想的覆盖深度下实现短时间、快速的“高通量”蛋白质组学分析已成为当前亟需解决的关键问题之一。常规的蛋白质组学分析流程通常包括样品前处理、色谱分离、质谱检测和数据分析。该文从以上4个方面展开介绍近10年以来高通量蛋白质组学分析技术取得的一系列研究进展,主要包括:(1)基于高通量、自动化移液工作站的蛋白质组样品前处理方法;(2)基于微升流速液相色谱与质谱联用的高通量蛋白质组检测方法;(3)利用灵敏度高、扫描速度快的质谱仪实现短色谱梯度分离下蛋白质组深度覆盖的分析方法;(4)基于人工智能、深度神经网络、机器学习等的蛋白质组学大数据分析方法。此外,对高通量蛋白质组学面临的挑战及其发展进行展望。总而言之,预期在不久的将来高通量蛋白质组学技术将会逐步“落地转化”,成为大队列蛋白质组学分析的利器。     

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。     

基于ICP-MS的蛋白质定量方法*

蛋白质组学已经成为生命科学研究中最为活跃的领域之一。研究蛋白质的生物功能,不但需要高通量的鉴定蛋白质,还需要定量分析动态变化的蛋白质,即定量蛋白质组学研究。蛋白质的定量研究有助于发现新的生物功能,并可以用于疾病的预警和药物靶点的发现。现有的定量蛋白质组学研究主要利用同位素标记结合生物质谱（电喷雾电离质谱ESI-MS,基质辅助激光解吸电离质谱MALDI-MS）技术而实现。近年来电感耦合等离子体质谱（ICP-MS）作为ESI-MS和MALDI-MS的补充,越来越多地应用于蛋白质的定量分析,特别是蛋白质的绝对定量分析。ICP-MS是检测生物分子中痕量元素的理想工具,具有灵敏度高、动态范围广,不易受基体的影响等优点。本文将讨论基于ICP-MS的分析方法,及其在蛋白质定量分析和免疫分析中的部分成功应用。     

创新数据非依赖性采集用于复杂基质目标蛋白质的定量分析

数据非依赖性采集( DIA)是随着定量蛋白质组学而建立的质谱扫描技术。 DIA能够获得扫描范围内所有母离子及二级子离子信息,不会造成低丰度离子信息的丢失,同时突破了高分辨质谱二级定量的通量限制。本研究基于静电场轨道阱Q-qIT-OT三合一质谱,发展了经典DIA方法以及WiSIM-DIA和Full MS-DIA两种全新DIA方法,并对Hela细胞全蛋白中添加的10条低浓度肽段进行定量分析,考察方法的线性、重现性和灵敏度。结果表明,3种方法的定量限均低至amol (14~435 amol),并展示出良好的线性和定性确证可靠性。其中,WiSIM-DIA基于超高分辨一级监测定量,与经典DIA优势互补;Full MS-DIA的选择窗口仅3 amu,能够直接进行搜库鉴定,实现了数据依赖性采集( DDA)和DIA的统一,摆脱了DIA依赖于DDA建立谱图库的局限性。     

HPLC/ICP-MS定量分析蛋白质

定量蛋白质组学已经成为蛋白质组学的重要组成部分,也给分析化学带来了巨大的机遇和挑战.已有的定量蛋白质组学方法主要利用同位素标记结合生物质谱技术而完成定量分析.与生物质谱不同,电感耦合等离子体质谱(ICP-MS)可以分析周期表中大部分元素,而且元素在ICP-MS中的响应与其所处的分子环境无关.如果蛋白质已被鉴定,或者其元素含量已知,就可以通过分析蛋白质中某一元素而实现对蛋白质的绝对定量分析~([1]).     

基于质谱的蛋白质组学技术在神经退行性疾病生物标志物研究中的应用

蛋白质组学是在整体水平上研究细胞、组织或生物体蛋白质组成及变化规律的科学.与传统的生物学研究相比,蛋白质组学具有快速、灵敏、高通量的优点.神经退行性疾病是一类由神经系统内特定神经细胞的进程性病变或丢失而导致神经功能障碍的疾病,严重危害人类健康.近年来,基于质谱的蛋白质组学技术在神经退行性疾病的研究中得到了广泛应用.本文简要介绍了蛋白质组学在样品分离、多肽定量、质谱检测及生物标志物临床验证等方面的技术发展,并结合实例综述了基于质谱的蛋白质组学在神经退行性疾病生物标志物发现与验证中的研究进展.     

基于蛋白质组学的鱼虾产品产地溯源分析

基于相对定量的差异蛋白质组学技术,采用超高效液相色谱-四极杆/飞行时间质谱,比较了不同产地的南美白对虾、斑节对虾、鳕鱼和大西洋鲑鱼的蛋白质组.结合化学计量学工具,挖掘不同地理来源样本的蛋白质定量数据,以揭示蛋白质组差异.通过变量投射重要度、S-plot分析、刀切置信区间、差异倍数等参数筛选分析,得到南美白对虾、斑节对虾...     

Semi‐quantitative and structural metabolic phenotyping by direct infusion ion trap mass spectrometry and its application in genetical metabolomics

The identification of quantitative trait loci (QTL) for plant metabolites requires the quantitation of these metabolites across a large range of progeny. We developed a rapid metabolic profiling method using both untargeted and targeted direct infusion tandem mass spectrometry (DIMSMS) with a linear ion trap mass spectrometer yielding sufficient precision and accuracy for the quantification of a large number of metabolites in a high‐throughput environment. The untargeted DIMSMS method uses top‐down data‐dependent fragmentation yielding MS² and MS³ spectra. We have developed software tools to assess the structural homogeneity of the MS² and MS³ spectra hence their utility for phenotyping and genetical metabolomics. In addition we used a targeted DIMS(MS) method for rapid quantitation of specific compounds. This method was compared with targeted LC/MS/MS methods for these compounds. The DIMSMS methods showed sufficient precision and accuracy for QTL discovery. We phenotyped 200 individual Lolium perenne genotypes from a mapping population harvested in two consecutive years. Computational and statistical analyses identified 246 nominal m/z bins with sufficient precision and homogeneity for QTL discovery. Comparison of the data for specific metabolites obtained by DIMSMS with the results from targeted LC/MS/MS analysis showed that quantitation by this metabolic profiling method is reasonably accurate. Of the top 100 MS¹ bins, 22 ions gave one or more reproducible QTL across the 2 years. Copyright © 2009 John Wiley & Sons, Ltd.     

Studies on Triterpenoids and Flavones in Glycyrrhiza uralensis Fisch. By HPLC-ESI-MSn and FT-ICR-MSn

应用高效液相色谱质谱联用方法(HPLC-ESI-MSn)研究了甘草提取物中的七种化合物,四种三萜类化合物和三种黄酮类化合物。通过多极串联质谱(ESI-MSn)和多极串联傅里叶变换回旋共振质谱(FT-ICR-MSn)法研究了它们的碎裂规律。通过比较保留时间和质谱数据对上述七种化合物进行了归属,并阐述了其可能的质谱裂解途径。以上结果显示ESI-MSn和FT-ICR-MSn是非常有效的分析三萜类化合物和黄酮类化合物结构的工具。     

Quantitative MALDI-MS<Superscript><Emphasis Type="Italic">n</Emphasis></Superscript> analysis of cocaine in the autopsied brain of a human cocaine user employing a wide isolation window and internal standards

Detection of drugs in tissue typically requires extensive sample preparation in which the tissue is first homogenized, followed by drug extraction, before the extracts are finally analyzed by LC/MS. Directly analyzing drugs in intact tissue would eliminate any complications introduced by sample pretreatment. A matrix-assisted laser desorption/ionization tandem mass spectrometry (MALDI-MS ⁿ ) method as been developed for the quantification of cocaine present in postmortem brain tissue of a chronic human cocaine user. It is shown that tandem mass spectrometry (MS² and MS³) increase selectivity, which is critical for differentiating analyte ions from background ions such as matrix clusters and endogenous compounds found in brain tissue. It is also shown that the use of internal standards corrects for signal variability during quantitative MALDI, which can be caused by inhomogeneous crystal formation, inconsistent sample preparation, and laser shot-to-shot variability. The MALDI-MS ⁿ method developed allows for a single MS³ experiment that uses a wide isolation window to isolate both analyte and internal standard target ions. This method is shown to provide improved precision [∼10–20 times reduction in percent relative standard deviation (%RSD)] for quantitative analysis compared to using two alternating MS³ experiments that separately isolate the target analyte and internal standard ions.     

Structural elucidation of molecular species of pacific oyster ether amino phospholipids by normal-phase liquid chromatography/negative-ion electrospray ionization and quadrupole/multiple-stage linear ion-trap mass spectrometry

Although marine oysters contain abundant amounts of ether-linked aminophospholipids, the structural identification of the various molecular species has not been reported. We developed a normal-phase silica liquid chromatography/negative-ion electrospray ionization/quadrupole multiple-stage linear ion-trap mass spectrometric (NPLC-NI-ESI/Q-TRAP-MS³) method for the structural elucidation of ether molecular species of serine and ethanolamine phospholipids from marine oysters. The major advantages of the approach are (i) to avoid incorrect selection of isobaric precursor ions derived from different phospholipid classes in a lipid mixture, and to generate informative and clear MSⁿ product ion mass spectra of the species for the identification of the sn-1 plasmanyl or plasmenyl linkages, and (ii) to increase precursor ion intensities by “concentrating” lipid molecules of each phospholipid class for further structural determination of minor molecular species. Employing a combination of NPLC-NI-ESI/MS³ and NPLC-NI-ESI/MS², we elucidated, for the first time, the chemical structures of docosahexaenoyl and eicosapentaenoyl plasmenyl phosphatidylserine (PS) species and differentiated up to six isobaric species of diacyl/alkylacyl/alkenylacyl phosphatidylethanolamine (PE) in the US pacific oysters. The presence of a high content of both omega-3 plasmenyl PS/plasmenyl PE species and multiple isobaric molecular species isomers is the noteworthy characteristic of the marine oyster. The simple and robust NPLC-NI-ESI/MSⁿ-based methodology should be particularly valuable in the detailed characterization of marine lipid dietary supplements with respect to omega-3 aminophospholipids.     

MassBank: a public repository for sharing mass spectral data for life sciences

MassBank is the first public repository of mass spectra of small chemical compounds for life sciences (<3000 Da). The database contains 605 electron‐ionization mass spectrometry(EI‐MS), 137 fast atom bombardment MS and 9276 electrospray ionization (ESI)‐MSⁿ data of 2337 authentic compounds of metabolites, 11 545 EI‐MS and 834 other‐MS data of 10 286 volatile natural and synthetic compounds, and 3045 ESI‐MS² data of 679 synthetic drugs contributed by 16 research groups (January 2010). ESI‐MS² data were analyzed under nonstandardized, independent experimental conditions. MassBank is a distributed database. Each research group provides data from its own MassBank data servers distributed on the Internet. MassBank users can access either all of the MassBank data or a subset of the data by specifying one or more experimental conditions. In a spectral search to retrieve mass spectra similar to a query mass spectrum, the similarity score is calculated by a weighted cosine correlation in which weighting exponents on peak intensity and the mass‐to‐charge ratio are optimized to the ESI‐MS² data. MassBank also provides a merged spectrum for each compound prepared by merging the analyzed ESI‐MS² data on an identical compound under different collision‐induced dissociation conditions. Data merging has significantly improved the precision of the identification of a chemical compound by 21–23% at a similarity score of 0.6. Thus, MassBank is useful for the identification of chemical compounds and the publication of experimental data. Copyright © 2010 John Wiley & Sons, Ltd.     

Effect of pH on the Metabolism of Aconitine under Rat Intestinal Bacteria and Analysis of Metabolites Using HPLC/MS-MSn Technique

A semi‐quantitative method of mass spectrometry (MS) has been described for the analysis of metabolites of aconitine by rat intestinal bacteria at different pH. At pH 7.0, the rat intestinal bacteria exhibit optimal activity for the metabolism of aconitine. A high‐performance liquid chromatography‐electrospray ionization multiple‐stage mass spectrometry (HPLC/ESI‐MSⁿ) method has been applied to investigate the characteristic product ions of metabolites. Then, the logical fragmentation pathways of metabolites have been proposed. By comparing the retention time (t_R) of HPLC and the ESI‐MSⁿ data with the data of standard compounds and reports from literature, ten metabolites have been identified and a distinctive metabolite (15‐deoxyaconitine) has been deduced first time. The experimental results demonstrate that HPLC/ESI‐MSⁿ is a specific and useful method for the identification of metabolites of aconitine. Also, in the present paper, the HPLC‐MS method was introduced to determine the synthetical metabolite prior to the study of the toxicity by the method of Bliss.     

Ion mobility-mass spectrometry analysis of isomeric carbohydrate precursor ions

The rapid separation of isomeric precursor ions of oligosaccharides prior to their analysis by mass spectrometry to the nth power (MS ⁿ ) was demonstrated using an ambient pressure ion mobility spectrometer (IMS) interfaced with a quadrupole ion trap. Separations were not limited to specific types of isomers; representative isomers differing solely in the stereochemistry of sugars, in their anomeric configurations, and in their overall branching patterns and linkage positions could be resolved in the millisecond time frame. Physical separation of precursor ions permitted independent mass spectra of individual oligosaccharide isomers to be acquired to at least MS³, the number of stages of dissociation limited only practically by the abundance of specific product ions. IMS–MS ⁿ analysis was particularly valuable in the evaluation of isomeric oligosaccharides that yielded identical sets of product ions in tandem mass spectrometry experiments, revealing pairs of isomers that would otherwise not be known to be present in a mixture if evaluated solely by MS dissociation methods alone. A practical example of IMS–MSⁿ analysis of a set of isomers included within a single high-performance liquid chromatography fraction of oligosaccharides released from bovine submaxillary mucin is described.     

Determination of ion structures in structurally related compounds using precursor ion fingerprinting

Structurally-related alkaloids were analyzed by electrospray ionization/multiple stage mass spectrometry (ESI/MS ⁿ ) at varying collision energies to demonstrate a conceptual algorithm, precursor ion fingerprinting (PIF). PIF is a new approach for interpreting and library-searching ESI mass spectra predicated on the precursor ions of structurally-related compounds and their matching product ion spectra. Multiple-stage mass spectra were compiled and constructed into “spectral trees” that illustrated the compounds’ product ion spectra in their respective mass spectral stages. The precursor ions of these alkaloids were characterized and their spectral trees incorporated into an MS ⁿ library. These data will be used to construct a universal, searchable, and transferable library of MS ⁿ spectra. In addition, PIF will generate a proposed structural arrangement utilizing previously characterized ion structures, which will assist in the identification of unknown compounds.     

Identification of triacylglycerol using automated annotation of high resolution multistage mass spectral trees

High complexity of identification for non-target triacylglycerols (TAGs) is a major challenge in lipidomics analysis. To identify non-target TAGs, a powerful tool named accurate MSⁿ spectrometry generating so-called ion trees is used. In this paper, we presented a technique for efficient structural elucidation of TAGs on MSⁿ spectral trees produced by LTQ Orbitrap MSⁿ, which was implemented as an open source software package, or TIT. The TIT software was used to support automatic annotation of non-target TAGs on MSⁿ ion trees from a self-built fragment ion database. This database includes 19108 simulate TAG molecules from a random combination of fatty acids and corresponding 500582 self-built multistage fragment ions (MS ≤ 3). Our software can identify TAGs using a “stage-by-stage elimination” strategy. By utilizing the MS¹ accurate mass and referenced RKMD, the TIT software can discriminate unique elemental composition candidates. The regiospecific isomers of fatty acyl chains will be distinguished using MS² and MS³ fragment spectra. We applied the algorithm to the selection of 45 TAG standards and demonstrated that the molecular ions could be 100% correctly assigned. Therefore, the TIT software could be applied to TAG identification in complex biological samples such as mouse plasma extracts.     

Automated Lipid A Structure Assignment from Hierarchical Tandem Mass Spectrometry Data

Infusion-based electrospray ionization (ESI) coupled to multiple-stage tandem mass spectrometry (MS ⁿ ) is a standard methodology for investigating lipid A structural diversity (Shaffer et al. J. Am. Soc. Mass. Spectrom. 18(6), 1080–1092, 2007). Annotation of these MS ⁿ spectra, however, has remained a manual, expert-driven process. In order to keep up with the data acquisition rates of modern instruments, we devised a computational method to annotate lipid A MS ⁿ spectra rapidly and automatically, which we refer to as hierarchical tandem mass spectrometry (HiTMS) algorithm. As a first-pass tool, HiTMS aids expert interpretation of lipid A MS ⁿ data by providing the analyst with a set of candidate structures that may then be confirmed or rejected. HiTMS deciphers the signature ions (e.g., A-, Y-, and Z-type ions) and neutral losses of MS ⁿ spectra using a species-specific library based on general prior structural knowledge of the given lipid A species under investigation. Candidates are selected by calculating the correlation between theoretical and acquired MS ⁿ spectra. At a false discovery rate of less than 0.01, HiTMS correctly assigned 85% of the structures in a library of 133 manually annotated Francisella tularensis subspecies novicida lipid A structures. Additionally, HiTMS correctly assigned 85% of the structures in a smaller library of lipid A species from Yersinia pestis demonstrating that it may be used across species.