Whole-Cell Protein Identification Using the Concept of Unique Peptides

A concept of unique peptides(CUP)was proposed and implemented to identify whole-cell proteins from tandem mass spectrometry(MS/MS)ion spectra.A unique peptide is defined as a peptide,irrespective of its length,that exists only in one protein of a proteome of interest,despite the fact that this peptide may appear more than once in the same protein.Integrating CUP,a two-step whole-cell protein identification strategy was developed to further increase the confidence of identified proteins.A dataset containing 40,243 MS/MS ion spectra of Saccharomyces cerevisiae and protein identification tools including Mascot and SEQUEST were used to illustrate the proposed concept and strategy.Without implementing CUP,the proteins identified by SEQUEST are 2.26 fold of those identified by Mascot.When CUP was applied,the proteins bearing unique peptides identified by SEQUEST are3.89 fold of those identified by Mascot.By cross-comparing two sets of identified proteins,only 89 common proteins derived from CUP were found.The key discrepancy between identified proteins was resulted from the filtering criteria employed by each protein identification tool.According to the origin of peptides classified by CUP and the commonality of proteins recognized by protein identification tools,all identified proteins were cross-compared,resulting in four groups of proteins possessing different levels of assigned confidence.     

“自顶向下(top-down)”的蛋白质组学——蛋白质变体的规模化鉴定

高分辨率质谱技术的快速发展使得\"自顶向下\"的蛋白质组学(top-down proteomics)研究逐渐成熟起来.在完整蛋白质水平上研究蛋白质组可以提供更精准、更丰富的生物学信息,特别是对于蛋白质上发生了多种关联性的翻译后修饰的情况.另外,由于基因突变、RNA可变剪接和大量蛋白质翻译后修饰的存在,同一个基因往往最终会产生多个\"蛋白质变体\"(proteoform),而要准确地鉴定这些蛋白质变体,也离不开\"自顶向下\"的蛋白质组学.在蛋白质水平上的分离技术、质谱技术与生物信息学技术是完整蛋白质鉴定最关键的三项技术.高效的分离技术是实现规模化蛋白质变体鉴定的前提,有效的质谱碎裂是提供可靠鉴定的核心,而快速准确的质谱鉴定算法则是数据分析效率的保障.本文对这三项技术进行了详细总结,重点集中在生物信息学相关技术上,包括对完整蛋白质的质谱数据预处理、数据库搜索鉴定以及翻译后修饰定位等几个计算问题的讨论.     

Genome annotating proteomics pipelines: available tools

Proteomics based on tandem mass spectrometry is a powerful tool for identifying novel biomarkers and drug targets. Previously, a major bottleneck in high-throughput proteomics has been that the computational techniques needed to reliably identify proteins from proteomic data lagged behind the ability to collect the immense quantity of data generated. This is no longer the case, as fully automated pipelines for peptide and protein identification exist, and these are publicly and privately accessible. Such pipelines can automatically and rapidly generate high-confidence protein identifications from large datasets in a searchable format covering multiple experimental runs. However, the main challenge for the community now is to use these resources as they are, by taking full advantage of the pooling of information, so that the next barrier in our understanding of biology may be broken. There are currently two pipelines in the public domain that provide such potential: PeptideAtlas and the Genome Annotating Proteomic Pipeline. This review will introduce their features in the context of high-throughput proteomics, and provide indicative results as to their usefulness and usability through a side-by-side comparison of results obtained when processing a set of human plasma samples.     

“De novo” sequencing of peptides recovered from in-gel digested proteins by nanoelectrospray tandem mass spectrometry

Proteins separated by one-dimensional or two-dimensional gel electrophoresis can be digested in-gel with trypsin and the recovered peptides can be sequenced de novo using triple quadrupole or hybrid quadrupole time-of-flight instruments equipped with a nanoelectrospray ion source. The peptide sequences determined provide useful information for identification of proteins by homology searching for cloning of the cognate genes by PCR based approaches.     

毛细管区带电泳／串联质谱联用法鉴定多肽和蛋白质

建立了毛细管区带电泳－串联质谱联用（ＣＺＥ／ＭＳ／ＭＳ）对多肽和蛋白质高灵敏度鉴定方法,对Ｍｅｔ－脑啡肽和Ｌｅｕ－脑啡肽的混合物进行了分析,用ＣＺＥ／ＭＳ／ＭＳ方法验证了各自的序列,同样对细胞色素ｃ的胰蛋白酶酶解产物用ＣＺＥ／ＭＳ／ＭＳ方法进行了肽质谱分析,几科所有肽段的序列及其与在分子中的位置都得到了确定,通过ＳＥＱＵＥＳＴ软件进行蛋白质序列数据库搜索得到准确的鉴定结果,所消耗的样品量均在低皮可     

基于谱图库的蛋白质鉴定策略研究进展

基于质谱的蛋白质组学快速发展,蛋白质质谱数据也呈指数式增长。寻找速度快、准确度高以及重复性好的鉴定方法是该领域的一项重要任务。谱图库搜索策略直接比较实验谱图与谱图库中的真实谱图,充分利用了谱图中的丰度、非常规碎裂模式和其他的一些特征,使得搜索更加快速和准确,成为蛋白质组学的主流鉴定方法之一。文中介绍基于谱图库的蛋白质组质谱数据鉴定策略,并针对其中两个关键步骤——谱图库构建方法和谱图库搜索方法进行深入介绍,探讨了谱图库策略的进展和挑战。     

质谱技术解析磷酸化蛋白质组

蛋白质磷酸化是生物体内存在的一种普遍的调节方式,在细胞信号传递中占有极重要的地位.质谱已逐渐被人们认为是挑战这一领域的有利工具.综述了目前利用质谱技术分析磷酸化蛋白质的方法,包括利用固定化的金属亲和层析柱、抗体和化学标签技术富集目的分子,肽片段质量图和前体离子扫描（precusor ion scans）等技术检测磷酸化肽段,串联质谱对磷酸化肽段测序鉴定磷酸化位点,以及引入质量标签对蛋白质的磷酸化水平进行定量等.虽然现在已经有很多可行的方法用于分析磷酸化蛋白质,但要达到从少量生物样品中解析其全部磷酸化蛋白质仍需要有很多技术上的突破.     

Cancer proteomics: many technologies,one goal

A major goal of the National Cancer Institute is to alleviate patient pain, suffering and death associated with cancer by the year 2015. This goal does not insinuate a cure for cancer, but rather the development of diagnostics and therapeutics that will eventually decrease cancer morbidity and mortality. A part of meeting this goal is to leverage the enormous data-gathering capabilities of proteomic technologies to discover disease-specific biomarkers in serum, plasma, urine, tissues and other biologic samples. The rapid advance in available technologies that have been spurred by the -omics era, has enabled biologic samples to be surveyed for biomarkers in ways never before possible. However, it is not yet clear which specific technologies will be the most successful. Therefore, proteomic laboratories within the National Cancer Institute are taking a multipronged approach to identify disease-specific biomarkers. This review discusses some of these approaches in their context of meeting the National Cancer Institute’s 2015 goal.     

Strategies for quantitation of phosphoproteomic data

Recent developments in phosphoproteomic sample-preparation techniques and sensitive mass spectrometry instrumentation have led to large-scale identifications of phosphoproteins and phosphorylation sites from highly complex samples. This has facilitated the implementation of different quantitation strategies in order to study the biological role of protein phosphorylation during disease progression, differentiation or during external stimulation of a cellular system. In this article, a brief summary of the most popular strategies for phosphoproteomic studies is given; however, the main focus will be on different quantitation strategies. Methods for metabolic labeling, chemical modification and label-free quantitation and their applicability or inapplicability in phosphoproteomic studies are discussed.     

Protein Mobility Shifts Contribute to Gel Electrophoresis Liquid Chromatography Analysis

Profiling of cellular and subcellular proteomes by liquid chromatography with tandem mass spectrometry (MS) after fractionation by SDS-PAGE is referred to as GeLC (gel electrophoresis liquid chromatography)-MS. The GeLC approach decreases complexity within individual MS analyses by size fractionation with SDS-PAGE. SDS-PAGE is considered an excellent fractionation technique for intact proteins because of good resolution for proteins of all sizes, isoelectric points, and hydrophobicities. Additional information derived from the mobility of the intact proteins is available after an SDS-PAGE fractionation, but that information is usually not incorporated into the proteomic analysis. Any chemical or proteolytic modification of a protein that changes the mobility of that protein in the gel can be detected. The ability of SDS-PAGE to resolve proteins with chemical modifications has not been widely utilized within profiling experiments. In this work, we examined the ability of the GeLC-MS approach to help identify proteins that were modified after a small hairpin RNA-dependent knockdown in an experiment using stable isotope labeling by amino acids in cell culture-based quantitation.     

Synthesis of deoxynivalenol-glucosides and their characterization using a QTrap LC-MS/MS

Deoxynivalenol (DON)-glucosides were successfully synthesized in a two-step reaction from 1-β-Bromo-1-deoxy-2,3,4,6-tetra-O-acetyl-α-D-gluco-pyranose and 3-Acetyl-DON or 15-Acetyl-DON. After purification of the reaction products, the mycotoxin conjugates were for the first time characterized by means of a triple quadrupole mass spectrometer in combination with a linear ion trap. Due to different fragmentation behaviour it was also possible to distinguish between the two glucosides. Presented at the 25^th Mykotoxin Workshop in Giessen, Germany, May 19–21, 2003     

Verification of single-peptide protein identifications by the application of complementary database search algorithms.

Data produced from the MudPIT analysis of yeast (S. cerevisiae) and rice (O. sativa) were used to develop a technique to validate single-peptide protein identifications using complementary database search algorithms. This results in a considerable reduction of overall false-positive rates for protein identifications; the overall false discovery rates in yeast are reduced from near 25% to less than 1%, and the false discovery rate of yeast single-peptide protein identifications becomes negligible. This technique can be employed by laboratories utilizing a SEQUEST-based proteomic analysis platform, incorporating the XTandem algorithm as a complementary tool for verification of single-peptide protein identifications. We have achieved this using open-source software, including several data-manipulation software tools developed in our laboratory, which are freely available to download.