Metabonomics research of diabetic nephropathy and type 2 diabetes mellitus based on UPLC-oaTOF-MS system

Ultra performance liquid chromatography (UPLC) coupled with orthogonal acceleration time-of-flight (oaTOF) mass spectrometry has showed great potential in diabetes research. In this paper, a UPLC-oaTOF-MS system was employed to distinguish the global serum profiles of 8 diabetic nephropathy (DN) patients, 33 type 2 diabetes mellitus (T2DM) patients and 25 healthy volunteers, and tried to find potential biomarkers. The UPLC system produced information-rich chromatograms with typical measured peak widths of 4 s, generating peak capacities of 225 in 15 min. Furthermore, principal component analysis (PCA) was used for group differentiation and marker selection. As shown in the scores plot, the distinct clustering between the patients and controls was observed, and DN and T2DM patients were also separated into two individual groups. Several compounds were tentatively identified based on accurate mass, isotopic pattern and MS/MS information. In addition, significant changes in the serum level of leucine, dihydrosphingosine and phytoshpingosine were noted, indicating the perturbations of amino acid metabolism and phospholipid metabolism in diabetic diseases, which having implications in clinical diagnosis and treatment.     

基于气相色谱-质谱联用的代谢组学用于黄连治疗II型糖尿病的机理探索

将代谢组学的方法用于研究黄连治疗II型糖尿病的机理。II型糖尿病造模采用对大鼠灌胃脂肪乳并腹腔注射40 mg/kg链脲佐菌素的方法,大鼠分为正常组、模型组、黄连给药治疗组(10 g/kg)、二甲双胍给药治疗组(0.08 g/kg)。大鼠给药30天后,采集血样用于生化指标的检测,采集24 h尿样用于代谢组学的分析。与模型组相比,糖尿病大鼠给药黄连30天后,空腹血糖值(FBG)显著降低了59.26%,总胆固醇(TC)降低了58.66%,甘油三酯(TG)降低了42.18%。采用气相色谱-质谱联用技术(GC-MS)对大鼠尿样中的内源性物质进行了相对含量测定,主成分分析结果表明,正常组与模型组显著分离,黄连组处于正常组与模型组之间,更接近于正常组。发现12个代谢物与糖尿病有关,包括4-甲基苯酚、苯甲酸、氨基丙二酸等。给药黄连后,其中的7个代谢物发生显著性回调,与氧化应激状态相关的氨基丙二酸和L-抗坏血酸出现向正常组显著性调节的趋势。这些结果表明,黄连不仅具有降糖和降血脂的作用,而且具有抗氧化作用,在一定程度上可能会抑制糖尿病合并症的发生和发展。     

Sequential exoproteolysis as a structural probe: a cautionary note

In a recent paper, Villaneuva et al. (J. Mass Spectrom. 2002; 37: 974) described the use of exoproteases as probes of higher order structure in proteins. Their model assumes that the proteins are attacked sequentially from either the N-terminus or the C-terminus, depending on the type of exoprotease (aminopeptidase or carboxypeptidase) used. The products of this presumed exoproteolysis were then analysed by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. The pattern of fragments obtained was mapped on to the primary sequence of the protein, and the exoproteolysis was interpreted as comprising a series of fast and slow phases, the rates of the different phases being directly related to the higher order structure of particular segments of the protein. Here, it is shown that this explanation is unlikely, that both kinetic and practical considerations suggest that alternative explanations for the data should be sought, and that exoproteolysis will perhaps not be as valuable as a conformational probe as the authors suggest.     

胍基修饰硅介孔材料用于蛋白质酸性条件酶解

在介孔材料FDU-12上用后修饰法成功合成了带有强碱性基团胍基的全新的功能化硅介孔材料Gua-FDU-12.利用该新型硅介孔材料成功实现了在酸性溶液中进行蛋白质酶解,并成功应用于反相色谱分离的蛋白质的直接酶解.该方法解决了传统的基于trypsin酶解无法在酸性条件下工作的难题,因而省去了top-down策略中反相色谱分离与蛋白酶解之间需要加入大量溶液来调节pH的步骤,为将该方法进一步应用于基于top-down策略的蛋白质组研究奠定了基础.     

Automated deconvolution and deisotoping of electrospray mass spectra

Electrospray ionization (ESI) of peptides and proteins produces a series of multiply charged ions with a mass/charge (m/z) ratio between 500 and 2000. The resulting mass spectra are crowded by these multiple charge values for each molecular mass and an isotopic cluster for each nominal m/z value. Here, we report a new algorithm simultaneously to deconvolute and deisotope ESI mass spectra from complex peptide samples based on their mass-dependent isotopic mean pattern. All signals corresponding to one peptide in the sample were reduced to one singly charged monoisotopic peak, thereby significantly reducing the number of signals, increasing the signal intensity and improving the signal-to-noise ratio. The mass list produced could be used directly for database searching. The developed algorithm also simplified interpretation of fragment ion spectra of multiply charged parent ions.     

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.     

磷酸化蛋白质分析技术在蛋白质组研究中的应用

磷酸化修饰蛋白质的分析是蛋白质组研究中的重要内容。对于目前磷酸化蛋白质分析所涉及的各种方法,包括放射性同位素标记,抗体免疫印记等传统方法和以串联质谱各种扫描技术为基础,结合亲和提取、液相色谱-质谱联用等手段的新技术、新方法,以及这些技术在磷酸化蛋白质组学中的应用予以评述。     

Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer

Ovarian cancer is the most lethal gynecologic malignancy among women. Approximately 70–80% of patients with advanced ovarian cancer experience relapse within five years and develop platinum-resistance. The short life expectancy of patients with platinum-resistant or platinum-refractory disease underscores the need to develop new and more effective treatment strategies. Early detection is a critical step in mitigating the risk of disease progression from early to an advanced stage disease, and protein biomarkers have an integral role in this process. The best biological diagnostic tool for ovarian cancer will likely be a combination of biomarkers. Targeted proteomics methods, including mass spectrometry-based approaches, have emerged as robust methods that can address the chasm between initial biomarker discovery and the successful verification and validation of these biomarkers enabling their clinical translation due to the robust sensitivity, specificity, and reproducibility of these versatile methods. In this review, we provide background information on the fundamental principles of biomarkers and the need for improved treatment strategies in ovarian cancer. We also provide insight into the ways in which mass spectrometry-based targeted proteomics approaches can provide greatly needed solutions to many of the challenges related to ovarian cancer biomarker development.     

MASSyPup — an ‘Out of the Box’ solution for the analysis of mass spectrometry data

Mass spectrometry has evolved to a key technology in the areas of metabolomics and proteomics. Centralized facilities generate vast amount of data, which frequently need to be processed off‐site. Therefore, the distribution of data and software, as well as the training of personnel in the analysis of mass spectrometry data, becomes increasingly important. Thus, we created a comprehensive collection of mass spectrometry software which can be run directly from different media such as DVD or USB without local installation. MASSyPup is based on a Linux Live distribution and was complemented with programs for conversion, visualization and analysis of mass spectrometry (MS) data. A special emphasis was put on protein analysis and proteomics, encompassing the measurement of complete proteins, the identification of proteins based on Peptide Mass Fingerprints (PMF) or LC‐MS/MS data, and de novo sequencing. Another focus was directed to the study of metabolites and metabolomics, covering the detection, identification and quantification of compounds, as well as subsequent statistical analyses. Additionally, we added software for Mass Spectrometry Imaging (MSI), including hardware support for self‐made MSI devices. MASSyPup represents a ‘ready to work’ system for teaching or MS data analysis, but also represents an ideal platform for the distribution of MS data and the development of related software. The current Live DVD version can be downloaded free of charge from http://www.bioprocess.org/massypup . Copyright © 2014 John Wiley & Sons, Ltd.     

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.     

基于多级质谱的蛋白质组定量新方法新技术进展

定量蛋白质组学已经成为蛋白质组学的一个重要分支,以生物质谱为核心的定量蛋白质组方法日益发展。按照定量所依据的质谱信号来源于一级质谱谱图还是多级质谱谱图可以将定量蛋白质组方法分为一级质谱定量和多级质谱定量。本文主要综述基于多级质谱的定量方法和技术进展,分析比较了这些方法的优缺点,并对基于多级质谱的定量方法发展进行了展望。     

小分子表面活性剂在胶内酶切增效中的应用

本研究成功地将一种有机小分子表面活性剂RapiGest SF(Waters)用于改进电泳分离的蛋白质的鉴定效率。通过基质辅助激光解析电离飞行时间质谱(MALDI-TOF-MS)的肽质量指纹谱,考察了酶切时间、加入量、加样次序、点靶方法对方法灵敏度、蛋白质鉴定率的影响。RapiGest SF浓度为0.5%~1%,在酶切之前加入可获得更多的肽段峰和更高的鉴定率。本方法考染体系的总灵敏度为332fmol,银染体系为664fmol。比较了RapiGest SF与MALDI-TOF-MS和电喷雾质谱(ESI-MS)兼容性,未观察到明显的负影响。方法操作简便,重复性较好,适合鉴定电泳分离的低丰度蛋白质。     

赖氨酸胍基化对蛋白质组分析的影响

赖氨酸胍基化在蛋白质组学定性和定量研究中起着重要作用,本文系统分析了胍基化前后,HeLa细胞蛋白质经胰蛋白酶酶解产生的3种不同类型肽段的质谱鉴定情况,并探讨了不同肽段质谱响应改变的内在原因。发现赖氨酸在侧链能选择性地发生胍基化反应（其选择性达到96.8%）,转化为高精氨酸,碱性增强。因此在正离子质谱模式下,C端为赖氨酸的肽段产生了更多的y离子,提供了许多新的离子碎片信息。在鉴定结果中,此类肽段所占总肽段的比例由原来的51.7%上升为57.3%,并且有1015条新的肽段被检测到。对于不含有赖氨酸的肽段,其鉴定结果在胍基化前后基本没有变化。结果表明,胍基化可以在一定程度上提高质谱鉴定的灵敏度和互补性,提高蛋白质分析的覆盖率。     

Mesoporous silica nanoreactors for highly efficient proteolysis

Protein digestion inside the nanoreactor channels of mesoporous silica (SBA-15) is reported, and evaluated by using peptide-mass mapping. Both proteases and substrates were efficiently captured within these biocompatible nanoreactors. After 10 minutes, the mass spectrum of the protein digests released from the mesoporous-silica-based nanoreactors revealed the presence of eight peptides covering 58% of the protein sequence with an intense signal (signal/noise ratio > 70). In comparison, the conventional overnight in-solution digestion of proteins under otherwise identical conditions generated only three peptides (27% sequence coverage). We propose that this order-of-magnitude increase in the proteolytic reaction rate is mainly attributed to two factors: substrate enrichment within mesoporous silica channels and enzyme immobilization. The surface properties and macrostructure of the mesoporous silica were studied to reveal their significant influence on proteolytic reactions.     

Exosome Proteomics Reveals the Deregulation of Coagulation,Complement and Lipid Metabolism Proteins in Gestational Diabetes Mellitus

Exosomes are small extracellular vesicles with a variable protein cargo in consonance with cell origin and pathophysiological conditions. Gestational diabetes mellitus (GDM) is characterized by different levels of chronic low-grade inflammation and vascular dysfunction; however, there are few data characterizing the serum exosomal protein cargo of GDM patients and associated signaling pathways. Eighteen pregnant women were enrolled in the study: 8 controls (CG) and 10 patients with GDM. Blood samples were collected from patients, for exosomes’ concentration. Protein abundance alterations were demonstrated by relative mass spectrometric analysis and their association with clinical parameters in GDM patients was performed using Pearson’s correlation analysis. The proteomics analysis revealed 78 significantly altered proteins when comparing GDM to CG, related to complement and coagulation cascades, platelet activation, prothrombotic factors and cholesterol metabolism. Down-regulation of Complement C3 (C3), Complement C5 (C5), C4-B (C4B), C4b-binding protein beta chain (C4BPB) and C4b-binding protein alpha chain (C4BPA), and up-regulation of C7, C9 and F12 were found in GDM. Our data indicated significant correlations between factors involved in the pathogenesis of GDM and clinical parameters that may improve the understanding of GDM pathophysiology. Data are available via ProteomeXchange with identifier PXD035673.     

A nanoporous reactor for efficient proteolysis

A nanoreactor based on mesoporous silicates is described for efficient tryptic digestion of proteins within the mesochannels. Cyano-functionalized mesoporous silicate (CNS), with an average pore diameter of 18 nm, is a good support for trypsin, with rapid in situ digestion of the model proteins, cytochrome c and myoglobin. The generated peptides were analyzed by matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS). Proteolysis by trypsin-CNS is much more efficient than in-solution digestion, which can be attributed to nanoscopic confinement and concentration enrichment of the substrate within the mesopores. Proteins at concentrations of 2 ng muL(-1) were successfully identified after digestion for 20 min. A biological complex sample extracted from the cytoplasm of human liver tissue was digested by using the CNS-based reactor. Coupled with reverse-phase HPLC and MALDI-TOF MS/MS, 165 proteins were identified after standard protein data searching. This nanoreactor combines the advantages of short digestion time with retention of enzymatic activity, providing a promising way to advance the development of proteomics.     

Recent advances in computational analysis of mass spectrometry for proteomic profiling

The proteome, defined as an organism's proteins and their actions, is a highly complex end-effector of molecular and cellular events. Differing amounts of proteins in a sample can be indicators of an individual's health status; thus, it is valuable to identify key proteins that serve as 'biomarkers' for diseases. Since the proteome cannot be simply inferred from the genome due to pre- and posttranslational modifications, a direct approach toward mapping the proteome must be taken. The difficulty in evaluating a large number of individual proteins has been eased with the development of high-throughput methods based on mass spectrometry (MS) of peptide or protein mixtures, bypassing the time-consuming, laborious process of protein purification. However, proteomic profiling by MS requires extensive computational analysis. This article describes key issues and recent advances in computational analysis of mass spectra for biomarker identification.