类芽孢杆菌(Paenibacillus sp.)蛋白质组学研究中三种蛋白提取方法的比较分析

【目的】革兰氏阳性类芽孢杆菌（Paenibacillus sp.）本身细胞壁的结构特点导致其菌体全蛋白不易获得。本研究选取了3种破碎方法——溶菌酶联合超声破碎法（方法一）、溶菌酶联合SDS热处理破碎法（方法二）、液氮联合超声破碎法（方法三）进行革兰氏阳性菌的细胞破碎,以期获得适于样品菌株基于质谱技术进行蛋白质组学研究的制备方法。【方法】在蛋白样品的制备过程中,对3种不同破碎方法的蛋白提取得率和SDS-PAGE检测分析结果进行比较;随后将3种蛋白样品制备方法的样品用质谱技术进行鉴定,分析不同蛋白样品基于质谱技术鉴定蛋白的差异。【结果】在蛋白样品的制备提取过程中,不同破碎方法的蛋白提取率大致相同。用单因素方差比较3种提取方法质谱鉴定蛋白数的差异性,方法三鉴定的蛋白数最多（2 638个）,其次是方法一（2 452个）,方法二鉴定的蛋白数最少（2 003个）。进一步用韦恩图分析比较不同提取方法的蛋白鉴定通量差异,综合考虑蛋白提取效率的结果以及液氮研磨法提取蛋白的缺点,最终选取溶菌酶联合超声破碎法（方法一）提取菌株全蛋白作为该菌基于质谱分析其蛋白质组学研究中最适合的方法。最后,对质谱鉴定菌株蛋白包括分子量、等电点、疏水性的基本性质进行分析,发现3种破碎方法质谱鉴定的蛋白与模式菌株多黏类芽孢杆菌（Paenibacillus polymyxa）基因组中预测蛋白的各个组分分布占比基本一致,都保证了菌株蛋白质组数据信息的完整性。【结论】基于质谱技术开展革兰氏阳性类芽孢杆菌（Paenibacillus sp.）的蛋白质组学研究,溶菌酶联合超声破碎法是提取该菌株全蛋白最适合的方法。     

iTRAQ技术在真菌研究中的应用进展

iTRAQ技术是一种新的、功能强大的、可以最多同时比较8种不同样品中蛋白质相对或绝对含量的蛋白质组学方法,结合多维液相色谱和串联质谱分析,iTRAQ技术已成为差异蛋白质组学定量研究的主要工具之一。而真菌的致病作用是多种蛋白质共同参与的真菌?宿主相互作用的复杂过程,因此整体、定量地分析真菌致病过程中的差异表达蛋白质谱,对于研究真菌的致病机制具有重要作用。该文重点就iTRAQ技术在真菌研究中的应用进展进行综述。     

药物靶标蛋白筛选的化学蛋白质组学研究进展

药物或生物活性物质通过与靶蛋白结合而发挥功能,研究表明,大多数药物具有多个作用靶点,药物靶标的发现有助于药物前体的筛选和作用机制的研究,同时对其耐药性等副作用的解决方案提供理论指导.基于生物质谱技术的蛋白质组学可对蛋白质进行高通量的定性定量分析,为药物靶标的筛选提供了全新的平台.本文综述了基于固载药物和游离药物模式的药物靶标蛋白筛选相关方法和应用研究的最新进展,为基于生物质谱技术的化学蛋白质组学研究提供参考.     

利用串联质谱鉴定氨基酸突变的生物信息学算法

氨基酸突变能够改变蛋白的结构和功能,影响生物体的生命过程.基于串联质谱的鸟枪法蛋白质组学是目前大规模研究蛋白质组学的主要方法,但是现有的质谱数据鉴定流程为了提高鉴定结果的灵敏度往往会有意压缩数据库中的氨基酸突变信息.因此,如何挖掘数据中的氨基酸突变信息成为当前质谱数据鉴定的一个重要部分.当前应用于氨基酸突变鉴定的串联质谱鉴定方法大致可以分为3大类:基于序列数据库搜索的方法、基于序列标签搜索的算法以及基于图谱库搜索的算法.本文首先详细介绍了这3种氨基酸突变鉴定算法,并分析了各种方法的特点和不足,然后介绍了氨基酸突变鉴定的研究现状和发展方向.随着基于串联质谱的蛋白质组学的不断发展,蛋白序列中的氨基酸突变信息将被更好地解析出来,从而得以深入探讨由氨基酸突变引起的蛋白结构和功能改变,为揭示氨基酸突变的生物学意义奠定基础.     

白癜风患者病变表皮与正常表皮的比较蛋白质组学研究（英文）

目的 本文通过开展白癜风患者病变表皮与正常表皮的比较蛋白质组学研究，发现和鉴定白癜风患者病变表皮与正常表皮之间的差异表达蛋白，以探讨白癜风患者表皮发生病变的分子机制。方法 首先，建立和优化了表皮样品中蛋白质的最佳酶切条件。其次，采用基于串联质谱标签（TMT）标记的定量蛋白质组学技术策略开展了稳定期白癜风患者病变表皮与正常表皮的比较蛋白质组学研究，并筛选了差异表达蛋白。最后通过生物信息学分析工具及数据库（GO、KEGG、STRING、GSEA）对差异蛋白进行功能富集分析。结果 优化所得到的最佳酶解条件是由Lys-C （酶∶底物，1∶100）和胰酶（酶∶底物，1∶50）组合而成的顺序酶切。比较蛋白质组学研究共鉴定4 496个蛋白质，其中181个蛋白质为白癜风患者病变表皮中的差异表达蛋白。生物信息学分析表明差异表达蛋白主要与代谢、免疫、氧化还原和细胞黏附相关。其中119个上调蛋白主要参与角质化、转录、氧化应激及蛋白酶解等过程。62个下调蛋白主要参与细胞内物质运输、谷胱甘肽代谢和肌动蛋白细丝封端等过程。结论 比较蛋白质组学研究揭示了白癜风患者病变表皮与正常表皮之间主要存在角质化、免疫、脂质代谢...     

18O标记法在定量蛋白质组学中的应用

基于质谱技术去识别和检测蛋白质表达差异是一个热点,有助于生物过程和体系的分子机制的研究。近年来各种基于质谱技术的定量蛋白质组学研究方法发展较快,相对其他方法而言,18O标记法是一种较为理想、相对容易实现并且在不断完善的体外标记方法,最近在定量蛋白质组学研究中应用较多。现对18O标记法原理、特点以及技术方法的优化和应用进展进行综述。     

大鼠骨髓基质细胞向Schwann细胞分化后蛋白表达变化的研究

近年来很多研究报道大鼠骨髓基质细胞（bone marrow stromal cells,MSCs）可以向神经细胞或神经胶质细胞分化,其中多数研究观察了细胞形态以及几种神经相关蛋白的免疫反应,也有报道用基因组学方法分析MSCs诱导过程中基因谱的表达变化.尚未见报道用蛋白质组学方法分析MSCs在诱导过程中蛋白谱的表达变化.本研究利用蛋白质组学技术分析MSCs向Schwann细胞样细胞诱导分化过程中蛋白谱的表达变化.从成年SD大鼠的股骨和胫骨中分离培养MSCs,应用复合诱导因子体外连续诱导MSCs向Schwann细胞样细胞分化.采用2-DE技术分离未诱导和诱导分化后MSCs总蛋白,应用基质辅助激光解吸电离飞行时间质谱得到相应的肽质量指纹图谱,搜索数据库分析差异蛋白质点.所得到的MSCs蛋白谱有792个蛋白点,通过PDQuest软件分析诱导前后MSCs的蛋白谱,初步分析发现有74个蛋白质的表达发生了明显的变化,其中43个蛋白表达上调,31个蛋白表达下调.本研究通过质谱分析并进行网上数据库搜索匹配,初步分析发现这些蛋白主要包括骨架和结构蛋白、生长因子类的蛋白、代谢相关蛋白及酶类、伴侣蛋白、受体类蛋白、细胞周期蛋白、钙结合蛋白以及其他蛋白等.研究表明,MSCs体外条件诱导分化过程中有较多蛋白表达发生变化;其中与神经细胞和神经胶质细胞相关蛋白：BDNF,CNTF,GFAP等在MSCs体外条件诱导分化后中表达明显上调;本研究从蛋白质水平为MSCs体外向Schwann细胞样细胞条件诱导提供了新的研究资料。     

慢性阻塞性肺疾病与非慢性阻塞性肺疾病吸烟者肺组织蛋白质组学比较分析

吸烟是导致慢性阻塞性肺疾病（COPD）发生发展的主要原因之一.但吸烟者是否发生COPD存在个体差异,其机制尚未完全阐明.蛋白质组学研究能够高效率发现疾病相关蛋白并为深入研究疾病的发病机制提供线索.本研究运用二维凝胶电泳（2-DE）和基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)蛋白质组学研究方法结合生物信息学数据,对吸烟COPD患者和非COPD吸烟者肺组织表达的差异蛋白进行筛选和鉴定,共鉴定出24种差异蛋白,涉及基本代谢酶类、氧化应激相关酶类、凝血/纤溶相关蛋白、蛋白降解相关酶以及细胞生长分化相关蛋白等.本研究结果为进一步探索COPD的发病机制提供了新的线索.     

激光捕获显微切割技术结合^18O标记定量蛋白质组技术在胃癌标志物筛查中的应用研究

建立一种更加精确地分离鉴定胃癌特异肿瘤标志物的定量蛋白质组学技术.首先采用激光捕获显微切割技术(LCM)纯化胃腺癌细胞及胃黏膜良性上皮细胞,将裂解的样本总蛋白经过1D SDS-PAGE预分离,然后采用17O/16O分别标记两种样本酶切后的多肽混合物.结合纳升级液相色谱(Nano-HPLC-MS/MS)定量地鉴定胃癌细胞和胃黏膜良性上皮细胞的差异表达蛋白.共筛选出78个差异表达蛋白,其中42个蛋白质在胃癌组织中表达上调,36个蛋白质下调.Western blot技术验证了其中几个差异蛋白(moesin,periostin,annexin A2,annexin A4)的表达,与蛋白质组学研究的结果一致.LOM技术结合18O稳定同位素标记的定量蛋白质组学技术,为研究胃癌发生机制、筛选胃癌的分子标志物提供了新的思路,亦为诸如胃癌等复杂体系蛋白质的分离鉴定提供了新的技术选择.     

生物质谱技术在蛋白质组学研究中的应用

随着技术的进步,蛋白质组学的研究重心由最初旨在鉴定细胞或组织内基因组所表达的全部蛋白质转移到从整个蛋白质组水平上阐述包括蛋白翻译后修饰、生物大分子相互作用等反映蛋白质功能的层次。多种质谱离子化技术的突破使质谱技术成为蛋白质组学研究必不可少的手段。质谱技术联合蛋白质组学多角度、深层次探索生命系统分子本质成为现阶段生命科学研究领域的主旋律之一。本文简要综述了肽和蛋白质等生物大分子质谱分析的原理、方式和应用,并对其发展前景做出展望。     

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.     

Proteomics analysis of human cerebrospinal fluid

Cerebrospinal fluid (CSF) is secreted from several different central nervous system (CNS) structures, and any changes in the CSF composition will accurately reflect pathological processes. Proteomics offers a comprehensive bird's eye view to analyze CSF proteins at a systems level. This paper reviews the variety of analytical methods that have been used for proteomics analysis of CSF, including sample preparation, two-dimensional liquid and gel electrophoresis, mass spectrometry, bioinformatics, and non-gel methods. The differentially expressed CSF proteins that have been identified by proteomics methods are discussed.     

基于电感耦合等离子体质谱的蛋白质定量技术研究进展

综述了ICP-MS法应用于蛋白质定量技术方面的研究进展.蛋白质定量研究已成为蛋白质组学研究领域的热点,它是解析生物体蛋白质功能的重要途径.基于同位素标记和生物质谱分析技术是蛋白质定量最常用的方法之一,近年来,随着质谱技术的发展,电感耦合等离子体质谱(ICP-MS)技术成为元素测量的重要手段,这使其在蛋白质定量中具一定的应用前景.     

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.     

Overcoming the dynamic range problem in mass spectrometry-based shotgun proteomics

Protein profiling using mass spectrometry technology has emerged as a powerful method for analyzing large-scale protein-expression patterns in cells and tissues. However, a number of challenges are present in proteomics research, one of the greatest being the high degree of protein complexity and huge dynamic range of proteins expressed in the complex biological mixtures, which exceeds six orders of magnitude in cells and ten orders of magnitude in body fluids. Since many important signaling proteins have low expression levels, methods to detect the low-abundance proteins in a complex sample are required. This review will focus on the fundamental fractionation and mass spectrometry techniques currently used for large-scale shotgun proteomics research.     

Overcoming the dynamic range problem in mass spectrometry-based shotgun proteomics

Protein profiling using mass spectrometry technology has emerged as a powerful method for analyzing large-scale protein-expression patterns in cells and tissues. However, a number of challenges are present in proteomics research, one of the greatest being the high degree of protein complexity and huge dynamic range of proteins expressed in the complex biological mixtures, which exceeds six orders of magnitude in cells and ten orders of magnitude in body fluids. Since many important signaling proteins have low expression levels, methods to detect the low-abundance proteins in a complex sample are required. This review will focus on the fundamental fractionation and mass spectrometry techniques currently used for large-scale shotgun proteomics research.     

Proteomic analysis of an immortalized mouse pancreatic stellate cell line identifies differentially-expressed proteins in activated vs nonproliferating cell states

Pancreatic stellate cells (PaSC) are mediators in chronic pancreatitis and pancreatic cancer pathogenesis. Proteins regulating the biomolecular pathways involved in the conversion of activated to quiescent PaSC may have a significant influence in the development of chronic pancreatitis. We aim to compare differentially expressed proteins from an immortalized cell line of mouse PaSC in the activated and serum-starved cell states using mass spectrometry-based proteomics. PaSC cultured in media supplemented with fetal bovine serum (FBS) proliferate in the activated state, while serum starvation promotes the cellular transition to a "pseudo-quiescent" state. Using these two cell states, we performed a comparative mass spectrometry (GeLC-MS/MS) proteomic analysis. We identified over 2000 nonredundant proteins in PaSC. Qualitative and label-free quantitative analysis revealed several hundred proteins that were differentially abundant between the cell states. Proteins that were more abundant in activated PaSC included cytoskeletal proteins and ribosomal proteins, while those more abundant in pseudoquiescent PaSC included proteins involved in protein degradation-related pathways (lysosome, ubiquitin-mediated proteolysis, and the proteasome). Investigation of the role of PaSC in the pathogenesis of chronic pancreatitis using the mass spectrometry-based proteomics strategy described herein will lead to further insights into the molecular mechanisms associated with the disease.     

Proteomic analysis of a rat pancreatic stellate cell line using liquid chromatography tandem mass spectrometry (LC-MS/MS)

Pancreatic stellate cells (PaSC) are emerging as key mediators in chronic pancreatitis and pancreatic cancer pathogenesis. Proteins regulating the biomolecular pathways involved in the conversion of quiescent to activated PaSC may have a significant influence on the development of chronic pancreatitis. We aim to compare differentially expressed proteins in activated and serum-starved non-proliferating PaSC using a mass spectrometry-based proteomics strategy. We cultured an immortalized rat PaSC cell line in media supplemented with 10% fetal bovine serum and in serum-free media. Using gel-based mass spectrometry (GeLC-MS/MS), we identified nearly 1500 proteins. Qualitative and quantitative proteomic analysis revealed several hundred proteins as differentially abundant between the two cell states. Proteins of greater abundance in activated PaSC included isoforms of actin (e.g., smooth muscle actin) and ribosomal proteins. Conversely, proteins more abundant in non-proliferating PaSC than in activated PaSC included signaling proteins MAP kinase 3 and Ras-related proteins. In addition, we have determined the molecular functions and biological pathways for these proteins. We are confident that the application of mass spectrometry-based strategies, such as that described herein, to investigate specific proteins in PaSC may lead to a better understanding of the molecular mechanisms involved in pancreatic diseases, such as chronic pancreatitis.     

The use of heavy nitrogen in quantitative proteomics experiments in plants

In the growing field of plant systems biology, there is an undisputed need for methods allowing accurate quantitation of proteins and metabolites. As autotrophic organisms, plants can easily metabolize different nitrogen isotopes, resulting in proteins and metabolites with distinct molecular mass that can be separated on a mass spectrometer. In comparative quantitative experiments, treated and untreated samples are differentially labeled by nitrogen isotopes and jointly processed, thereby minimizing sample-to-sample variation. In recent years, heavy nitrogen labeling has become a widely used strategy in quantitative proteomics and novel approaches have been developed for metabolite identification. Here, we present an overview of currently used experimental strategies in heavy nitrogen labeling in plants and provide background on the history and function of this quantitation technique.