食品微生物蛋白质组指纹图谱数据解析与应用的研究

作为蛋白质组支柱技术的基质辅助激光解析电离飞行时间质谱可直接将样品点靶,生成微生物的蛋白质指纹图谱与数据库中的相关数据比对匹配后,由相关软件给出鉴定结果。本文围绕样品处理方式、谱图数据处理、谱图格式等,介绍蛋白质指纹图谱数据的解析与应用。通过构建标准化的食品微生物蛋白质指纹图谱数据库,并实现数据库资源及时有效的扩充,能为我国食品微生物快速检测提供良好的技术支撑平台。     

僵蚕药材蛋白质分级指纹图谱建立及产地鉴定相关分子研究

建立云南与四川僵蚕药材的总蛋白质指纹图谱及分级指纹图谱,对比分析以发现其中的差异表达蛋白质分子并进行鉴定及生物信息学分析,探索其用于产地鉴定的可行性。提取两种僵蚕的酸溶、碱溶、水溶及醇溶性总蛋白质,对其进行丙酮分级沉淀,对所得样品进行SDS-PAGE指纹图谱对比分析,对所得差异条带进行LC-MS/MS分析,数据库检索后进行生物信息学分析。两种僵蚕的总蛋白质指纹图谱相似度很高,难以据此进行产地鉴定;两种僵蚕的分级指纹图谱则有较显著差异,有望用于产地鉴定;依据分级指纹图谱差异共鉴定出β-葡萄糖苷酶、抗胰凝乳蛋白酶、抗胰蛋白酶、含脂肪酶结构域蛋白等273种蛋白质。云南与四川僵蚕的蛋白质组成及其分级指纹图谱存在显著差异,有望用作产地鉴定的分子依据;醇溶蛋白质构建分级指纹图谱可以提供更加丰富的信息及更好的分辨率;分级指纹图谱技术具有简便易行、分辨率较高的优点,为其他中药材的产地鉴定研究提供了方法学思路。     

基于马尔科夫链的胰蛋白酶肽段蛋白酶切位点概率预测

在基于质谱技术的蛋白质鉴定过程中,数据库搜索是主要的方法。漏切位点和酶切规则决定了图谱候选肽段的范围,是数据库搜索算法的重要参数。对于常用的胰蛋白酶切来说,除了局部构象、三维结构、实验条件,以及其它偶然因素会影响赖氨酸K或者精氨酸R后的位点能否被酶切外,该位点附近的其它氨基酸也会影响蛋白水解酶的酶切效果。从质谱图谱中时常会鉴定出包含漏切位点的肽段,因此,预测蛋白质的酶切位点能够为数据库搜索算法提供更为可靠的模型,也能够为了解和分析蛋白质的酶切规律提供依据。本文提出了一种基于马尔科夫(Markov)链的预测方法,能够利用蛋白质的序列信息来预测候选酶切位点的酶切概率,在蛋白酶切过程中,预测肽段的覆盖率可以达到85%以上。     

蛋白质组表达图谱用于基因组功能提示的可行性研究

本文以ＥＣＯ２ＤＢＡＳＥ（Ｅｄｉｔｉｏｎ ６） 为研究材料, 探讨了利用蛋白质组表达图谱提供的生命动态活动信息提高基因组功能提示效果的可行性。在设计出一套较为完整的细胞功能簇（ＣＲＣ）聚类方案的基础上, 经考察,７９ 个蛋白质聚成４ 个不同的ＣＲＣ。结果显示出功能相关的蛋白质趋向于聚集在相同的ＣＲＣ中, 如９ 种氨酰ｔＲＮＡ 合成酶和４ 种热休克蛋白分别准确地聚合到ＣＲＣ２ 和ＣＲＣ３ 中。这些结果提示： 在蛋白质组研究资料比较充分的前提下, 通过有效的算法, 蛋白质组表达图谱可以为基因组功能提示提供非常重要的序列相似性之外的功能信息     

长双歧杆菌BBMN68 可溶性蛋白质图谱的建立

为了建立长双歧杆菌BBMN68蛋白质图谱,采用双向电泳的方法建立了2-D参考图谱,通过MALDI-TOF/MS质谱鉴定和数据库搜索,鉴定到206个蛋白质(占长双歧杆菌BBMN68基因预测总蛋白的11.4%)。通过2-D胶分析,共有800±15(对数期)和800±20(稳定期)个蛋白质,其中282个蛋白点成功鉴定,代表206个不同的蛋白质。另外,分析了实验鉴定蛋白质的等电点和分子量,蛋白功能,密码子偏好性,蛋白质疏水性以及蛋白质细胞定位的分析。研究结果为长双歧杆菌的比较蛋白质组学研究提供了参考图谱和蛋白质基础信息数据。     

帕金森病和正常人外周血单个核细胞的蛋白质组差异分析

目的:通过研究帕金森病和正常外周血单个核细胞(PBMC)的蛋白质组差异,初步探讨外周免疫系统与帕金森病的病理联系.方法:用固相pH梯度双向凝胶电泳分离人帕金森病和正常单个核细胞总蛋白质,考马斯亮蓝染色,PDQuest 2-DE软件分析,对部分差异蛋白质点进行基质辅助激光解吸电离飞行时间质谱(MALDI-TOF-MS)测定其胶内酶解后的肽质指纹图谱,用Mascot查询系统查询SWISS-PROT数据库.结果:获得了分辨率和重复性均较好的双向电泳考染图谱,对其中的21个差异蛋白质点分别进行肽质指纹分析,经数据库查询,初步鉴定为一些与蛋白降解、抗氧化应激、信号转导、细胞骨架、细胞周期调控等有关的蛋白质.结论:建立了帕金森病PBMC的双向凝胶电泳图谱,提示帕金森病和正常的PBMC的蛋白质表达具有差异.     

利用SWISS-PROT网上获取生物信息学资源

生物信息学是是采用数学、统计学和计算机方法对生物学数据信息进行采集、存储、传播、分析、归类、解释的科学[1].Internet网络是信息传输、检索、获取、交流的重要手段.当前,在Internet网上可以查询到大量的生物信息学数据库,其中SWISS-PROT蛋白质序列数据库是网上生物信息学最核心的3个数据库之一.通过该数据库,可以较完整地获得生物大分子的序列信息.同时,研究者也可以将测定的序列信息通过该数据库予以认定、发表、交流.本文主要探讨SWISS-PROT蛋白质序列数据库的特点、检索方法及利用Internet获取蛋白质序列信息.     

油菜叶片总蛋白质双向电泳样品制备方法的改进

以甘蓝型油菜"扬油6号"的叶片为试验材料,分别采用传统的TCA/Acetone(三氯乙酸/丙酮沉淀法)和改进的PEG(polyethylene glycol)分步提取法提取叶片可溶性总蛋白,并利用条件一致的蛋白质双向电泳体系进行比较。TCA/Acetone法提取的蛋白质双向电泳图谱背景中由于高丰度"housekeeping"结构蛋白的存在,特别是叶片中参与光合作用的Rubisco蛋白的干扰,图谱中低丰度调控蛋白受到了高度覆盖和遮蔽现象,影响双向电泳图谱的质量。而PEG分步提取法提取的蛋白质样品,可以剔除Rubisco蛋白,使获得的双向电泳图谱清晰,无斑点间的遮蔽现象,为油菜叶片蛋白质组定量和定性分析提供了丰富的信息。     

Bt Cry1Ac毒素筛选的粉纹夜蛾离体抗性细胞与敏感细胞蛋白质组的差异分析

采用双向电泳技术和肽质量指纹图谱技术分析了Bt Cry1Ac毒素筛选的粉纹夜蛾Trichoplusia ni抗性BTI-Tn-5B1-4细胞与同源敏感细胞的蛋白质组的差。用Melanie ViewerⅡ软件在抗性细胞的双向电泳图谱上检测到的平均蛋白质点数为707±25个（n=3）,在敏感细胞的双向电泳图谱上检测到的平均蛋白质点数为637±19个（n=3）,其中分辨率高、重复性良好的显著差异点有10余个。对其中的一个敏感细胞特有的显著差异斑点进行了肽质量指纹图谱分析,经数据库 查询表明该蛋白质与胞质外周蛋白具有同源性。     

人肺腺癌细胞A—549和正常细胞HBE的蛋白质组差异分析

为了研究人肺腺癌细胞A 5 49和正常细胞HBE的蛋白质组差异 ,用固相pH梯度双向凝胶电泳分离人肺腺癌细胞系A 5 49和正常细胞HBE的总蛋白质 ,银染显色 ,PDQuest 2 DE软件分析 ,对部分差异蛋白质点进行基质辅助激光解吸电离飞行时间质谱 (MALDI TOF MS)测定其胶内酶解后的肽质指纹图谱 ,用PeptIdent软件查询SWISS PROT数据库。结果获得了分辨率和重复性均较好的双向电泳银染图谱 ,图象分析探测到A 5 492 DE图谱的平均蛋白质点数为 (890± 38)个 ,HBE的平均蛋白质点数为 (75 7± 2 7)个 ,不同胶间蛋白质点的位置偏差在IEF方向为 (2 .85± 0 .48)mm ,在SDS PAGE方向为 (2 .6 9± 0 .37)mm。差异表达分析发现A 5 49和HBE图谱有5 35个蛋白质点相互匹配 ,其中A 5 49有 35 5个未被匹配 ,HBE中有 2 2 2个未被匹配 ;对A 5 49和HBE中的 18个差异蛋白质点分别进行肽质指纹分析 ,经数据库查询 ,初步鉴定为一些与物质代谢、细胞因子、信号转导有关的蛋白质。提示人肺腺癌细胞A 5 49和正常细胞HBE的蛋白质组具有差异 ,这种蛋白质组的差异分析有助于进一步研究肺腺癌的相关蛋白质及分子标记物     

Cytoplasmic proteome reference map for a glutamic acid-producing Corynebacterium glutamicum ATCC 14067

We constructed a cytoplasmic proteome reference map for a glutamic acid producing Corynebacterium glutamicum ATCC 14067 by 2-DE and protein identification by MALDI-TOF-MS and PMF using genome database of the type strain ATCC 13032. The map allowed us to identify 166 protein spots representing 139 different proteins. A considerable strain difference was observed in the proteomic images between strains ATCC 14067 and ATCC 13032 grown under the glutamic acid production conditions, suggesting the importance of strain-specific reference map for proteomic analysis.     

A 2-D gel reference map of the basic human heart proteome

We have undertaken the identification of basic proteins (pH 6–11) of the human heart using 2‐DE. Tissue from the left ventricle of human heart was lysed and proteins were separated in the first dimension on pH 6–11 IPG strips using paper‐bridge loading followed by separation on 12% SDS polyacrylamide gels in the second dimension. Proteins were then identified by mass spectrometry and analysed using Proline, a proteomic data analysis platform that was developed in‐house. The proteome map contains 176 identified spots with 151 unique proteins and has been made available as part of the UCD‐2DPAGE database at http://proteomics‐portal.ucd.ie:8082 . The associated mass spectrometry data have been submitted to PRIDE (Accession number ?10098). This reference map, and the other heart reference maps available through the UCD‐2DPAGE database, will aid further proteomic studies of heart diseases such as dilated cardiomyopathy and ischaemic heart disease.     

Proteomic profiling of a layered tissue reveals unique glycolytic specializations of photoreceptor cells

The retina is a highly ordered tissue whose outermost layers are formed by subcellular compartments of photoreceptors generating light-evoked electrical responses. We studied protein distributions among individual photoreceptor compartments by separating the entire photoreceptor layer of a flat-mounted frozen retina into a series of thin tangential cryosections and analyzing protein compositions of each section by label-free quantitative mass spectrometry. Based on 5038 confidently identified peptides assigned to 896 protein database entries, we generated a quantitative proteomic database (a "map") correlating the distribution profiles of identified proteins with the profiles of marker proteins representing individual compartments of photoreceptors and adjacent cells. We evaluated the applicability of several common peptide-to-protein quantification algorithms in the context of our database and found that the highest reliability was obtained by summing the intensities of all peptides representing a given protein, using at least the 5-6 most intense peptides when applicable. We used this proteome map to investigate the distribution of glycolytic enzymes, critical in fulfilling the extremely high metabolic demands of photoreceptor cells, and obtained two major findings. First, unlike the majority of neurons rich in hexokinase I, but similar to other highly metabolically active cells, photoreceptors express hexokinase II. Hexokinase II has a very high catalytic activity when associated with mitochondria, and indeed we found it colocalized with mitochondria in photoreceptors. Second, photoreceptors contain very little triosephosphate isomerase, an enzyme converting dihydroxyacetone phosphate into glyceraldehyde-3-phosphate. This may serve as a functional adaptation because dihydroxyacetone phosphate is a major precursor in phospholipid biosynthesis, a process particularly active in photoreceptors because of the constant renewal of their light-sensitive membrane disc stacks. Overall, our approach for proteomic profiling of very small tissue amounts at a resolution of a few microns, combining cryosectioning and liquid chromatography-tandem MS, can be applied for quantitative investigation of proteomes where spatial resolution is paramount.     

Proteome reference map of Drosophila melanogaster head

Drosophila melanogaster has been used as a genetic model organism to understand the fundamental molecular mechanisms in human biology including memory formation that has been reported involving protein synthesis and/or post-translational modification. In this study, we employed a proteomic platform based on fluorescent 2DE and MALDI-TOF MS to build a standard D. melanogaster head proteome map for proteome-proteome comparison. In order to facilitate the comparison, an interactive database has been constructed for systematically integrating and analyzing the proteomes from different conditions and further implicated to study human diseases related to D. melanogaster model. In summary, the fundamental head proteomic database and bioinformatic analysis will be useful for further elucidating the biological mechanisms such as memory formation and neurodegenerative diseases.     

Proteome analysis of the plant-pathogenic bacterium Xanthomonas oryzae pv. oryzae

The plant-pathogenic bacterium Xanthomonas oryzae pv. oryzae (Xoo) is the causal agent of bacterial blight, which is one of the most serious diseases of rice. Xoo has been studied for over one century, and much has been learned about it, but proteomic investigation has been neglected. In this study, proteome reference maps of Xoo were constructed by two-dimensional gel electrophoresis, and 628 spots in the gels representing 469 different protein species were identified with MALDI-TOF/TOF MS. The identified spots were assigned to 15 functional categories according to the Kyoto Encyclopedia of Genes and Genomes (KEGG) database and the annotations from the National Center for Biotechnology Information (NCBI) database. The data set has been deposited in the World-2DPAGE database (Database ID: 0044). In addition, comparative proteomic analysis revealed that proteins related to the TonB-dependent transportation system and energy metabolism are involved in the phenazine-1-carboxylic acid resistance in Xoo. In conclusion, we have established a proteome database for Xoo and have used this database in a comparative proteomic analysis that identified proteins potentially contributing to phenazine-1-carboxylic acid resistance in Xoo.     

Proteomics in Drosophila melanogaster: first 2D database of larval hemolymph proteins

A proteomic approach was used for the identification of larval hemolymph proteins of Drosophila melanogaster. We report the initial establishment of a two-dimensional gel electrophoresis reference map for hemolymph proteins of third instar larvae of D. melanogaster. We used immobilized pH gradients of pH 4-7 (linear) and a 12-14% linear gradient polyacrylamide gel. The protein spots were silver-stained and analyzed by nanoLC-Q-Tof MS/MS (on-line nanoscale liquid chromatography quadrupole time of flight tandem mass spectrometry) or by Matrix assisted laser desorption time of flight MS (MALDI-TOF MS). Querying the SWISSPROT database with the mass spectrometric data yielded the identity of the proteins in the spots. The presented proteome map lists those protein spots identified to date. This map will be updated continuously and will serve as a reference database for investigators, studying changes at the protein level in different physiological conditions.     

Reference map for liquid chromatography–mass spectrometry-based quantitative proteomics

The accurate mass and time (AMT) tag strategy has been recognized as a powerful tool for high-throughput analysis in liquid chromatography–mass spectrometry (LC–MS)-based proteomics. Due to the complexity of the human proteome, this strategy requires highly accurate mass measurements for confident identifications. We have developed a method of building a reference map that allows relaxed criteria for mass errors yet delivers high confidence for peptide identifications. The samples used for generating the peptide database were produced by collecting cysteine-containing peptides from T47D cells and then fractionating the peptides using strong cationic exchange chromatography (SCX). LC–tandem mass spectrometry (MS/MS) data from the SCX fractions were combined to create a comprehensive reference map. After the reference map was built, it was possible to skip the SCX step in further proteomic analyses. We found that the reference-driven identification increases the overall throughput and proteomic coverage by identifying peptides with low intensity or complex interference. The use of the reference map also facilitates the quantitation process by allowing extraction of peptide intensities of interest and incorporating models of theoretical isotope distribution.     

CIBEX: center for information biology gene expression database

We describe the current status of the gene expression database CIBEX (Center for Information Biology gene EXpression database, http://cibex.nig.ac.jp), with a data retrieval system in compliance with MIAME, a standard that the MGED Society has developed for comparing and data produced in microarray experiments at different laboratories worldwide. CIBEX serves as a public repository for a wide range of high-throughput experimental data in gene expression research, including microarray-based experiments measuring mRNA, serial analysis of gene expression (SAGE tags), and mass spectrometry proteomic data.     

Java AWT和JAI技术在生物数据库图像显示上的应用

利用Java AWT和JAI技术绘制生物图像的方法可以使在实验室中得到的生物实验数据自动转化为需要的图谱,并且图像的精确度高。绘制成的图像既可以保存在本地硬盘中,也可以在浏览器中以网页的形式展示出来供研究人员分析使用。该方法目前已在上海生物信息技术研究中心开发的可视化工具MapViewer和主题数据库H2H,SRA中得到应用。