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蛋白质组学:研究方法与实验方案

蛋白质组学:研究方法与实验方案

出版社:科学出版社出版时间:2022-02-01
开本: 其他 页数: 460
本类榜单:自然科学销量榜
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蛋白质组学:研究方法与实验方案 版权信息

  • ISBN:9787030354334
  • 条形码:9787030354334 ; 978-7-03-035433-4
  • 装帧:一般胶版纸
  • 册数:暂无
  • 重量:暂无
  • 所属分类:>

蛋白质组学:研究方法与实验方案 内容简介

随着“蛋白质组学”这一概念的出现和发展,细胞分子网络领域的研究取得了巨大的进展,人们对此领域的认识也日益深入。然而,蛋白质的冗余性、动力学特点和互作作用,使相关研究面临巨大挑战。在本书中,多位专家阐述了蛋白质组学的各种研究技术,纵览了本领域各研究方向的难点与可能性,提供了近期新的实验方案和具体实例。作为《分子生物学方法》系列丛书的一卷,本书简明易懂,各章均包含针对标题的导言、推荐材料与试剂的清单、分步骤且易于操作的实验室方案、疑难问题的注意事项和易犯失误的避免。本书专业非常不错、易于使用,适合作为实验室指南用书,可以激发读者对蛋白质组学这一复杂且重要的领域的研究兴趣。

蛋白质组学:研究方法与实验方案 目录

目录
前言 v
撰稿人 ix
**部分 引言
1. 蛋白质组学简介 3
Friedrich Lottspeich
第二部分 电泳分离
2. 高分辨率二维电泳 13
Walter Weiss and Angelika Gorg
3. 非经典二维电泳 33
JacquelineBurre,Ilka Wittig,and Hermann Schagger
4. 蛋白质检测与定量技术用于基于凝胶的蛋白质组学分析 59
Walter Weiss,Florian Weiland,and Angelika Gorg
第三部分 质谱和串联质谱的应用
5. 基质辅助激光解吸电离质谱 85
Rainer Cramer
6. 毛细管电泳质谱联用应用于人尿液蛋白质组学分析与生物标志物发现 105

traZurbig,Eric Schiffer,and Harald Mischak
7. 多肽纳升级液相色谱指南 123
Thomas Frohlich and Georg J.Arnold
8. 多维蛋白鉴定技术 143
Katharina Lohrig and Dirk Wolters
9. 肽段为中心的蛋白质组学技术分析血小板蛋白 155
Oliver Simon,Stefanie Wortelkamp,and Albert Sickmann
10. 高分辨率质谱蛋白质组分析技术鉴定小鼠小肠20S蛋白质组分子组成 173
Reinhold Weber,Regina Preywisch,Nikolay Youhnovski,Marcus Groettrup,and Michael Przybylski
第四部分 蛋白质组学定量技术
11. 基于液相色谱质谱联用的定量蛋白质组学 189
Michael W.Linscheid,Robert Ahrends,Stefan Pieper,and Andreas Kuhn
12. 胶内酶切同位素标记蛋白质技术用于相对定量 207
Carla Schmidt and Henning Urlaub
13.电喷雾质谱技术用于血浆蛋白质组定量分析 227
Hong Wang and Sam Hanash
第五部分 质谱数据解读
14. 算法和数据库 245
Lennart Martens and Rolf Apweiler
15. 鸟枪法蛋白质鉴定和质谱法蛋白质定量 261
Bingwen Lu,Tao Xu,Sung Kyu Park,and John R.Yates III
第六部分 蛋白质修饰分析
16. 脑蛋白氧化修饰蛋白质组学鉴定 291
Rukhsana Sultana,Marz ia Perluigi,and D.Allan Butter field
17.同位素标记、磷酸化多肽亲和富集技术用于液相色谱-串联质谱蛋白质组分析 303
Uma Kota,Ko-yi Chien,and Michael B.Goshe
第七部分 亚细胞蛋白质组学
18. 细胞器蛋白质组学:天然蛋白胶内酶切筛选减少样本的复杂性 325
Veronika Reisinger and Lutz A.Eichacker
19. 聚合物双水相系统逆流分配法分离神经系统质膜 335
Jens Schindler and Hans Gerd NothWang
20. 液相色谱串联质谱技术进行拟南芥蛋白质组分析的质膜蛋白富集和制备 341
Srijeet K.Mitra,Steven D.Clouse,and Michael B.Goshe
第八部分 蛋白质相互作用分析
21.Strep/FLAG(SF)-串联亲和纯化标签用于哺乳动物细胞蛋白质复合物串联亲和纯化 359
Christian Johannes Gloeckner,Karsten Boldt,Annette Schumacher,and Marius Ueffing
22. 顺序多肽亲和纯化系统分离和鉴定大肠杆菌蛋白质复合物 373
Mohan Babu,Gareth Butland,Oxana Pogoutse,Joyce Li,Jack F.Greenblatt,and AndreWEmili
23. 生物信息学方法分析蛋白质相互作用 401
Beate Kruger and Thomas Dandekar
索引 433
(宋凯 张春秀 译)
Contents
Preface. v
Contributors. ix
PART I INTRODUCTION
1. Introduction to Proteomics 3
Friedrich Lottspeich
PART II ELECTROPHORETIC SEPARATIONS
2. High-Resolution Two-Dimensional Electrophoresis 13
Walter Weiss and Angelika Gorg
3. Non-classical 2-D Electrophoresis 33
Jacqueline Burre,Ilka Wittig,and Hermann Sch?gger
4. Protein Detection and Quantitation Technologies for Gel-Based Proteome Analysis 59
Walter Weiss,Florian Weiland,and Angelika Gorg
PART III MASS SPECTROMETRY AND TANDEM MASS SPECTROMETRY APPLICATIONS
5. MALDI MS 85
Rainer Cramer
6. Capillary Electrophoresis Coupled to Mass Spectrometry for Proteomic Profiling of Human Urine and Biomarker Discovery 105

tra Zurbig,Eric Schiffer,and Harald Mischak
7. A Newcomer’s Guide to Nano-Liquid-Chromatography of Peptides 123
Thomas Frohlich and Georg J. Arnold
8. Multidimensional Protein Identification Technology 143
Katharina Lohrig and Dirk Wolters
9. Characterization of Platelet Proteins Using Peptide Centric Proteomics 155
Oliver Simon,Stefanie Wortelkamp,and Albert Sickmann
10. Identification of the Molecular Composition of the 20S Proteasome of Mouse Intestine by High-Resolution Mass Spectrometric Proteome Analysis 173
Reinhold Weber,Regina Preywisch,Nikolay Youhnovski,Marcus Groettrup,and Michael Przybylski
PART IV QUANTITATIVE PROTEOMICS
11. Liquid Chromatography-Mass Spectrometry-Based Quantitative Proteomics. 189
Michael W. Linscheid,Robert Ahrends,Stefan Pieper,and Andreas Kuhn
12. iTRAQ-Labeling of In-Gel Digested Proteins for Relative Quantification 207
Carla Schmidt and Henning Urlaub
13. Electrospray Mass Spectrometry for Quantitative Plasma Proteome Analysis 227
Hong Wang and Sam Hanash
PART V INTERPRETATION OF MASS SPECTROMETRY DATA
14. Algorithms and Databases 245
Lennart Martens and Rolf Apweiler
15. Shotgun Protein Identification and Quantification by Mass Spectrometry 261
Bingwen Lu,Tao Xu,Sung Kyu Park,and John R. Yates III
PART VI ANALYSIS OF PROTEIN MODIFICATIONS
16. Proteomics Identification of Oxidatively Modified Proteins in Brain 291
Rukhsana Sultana,Marzia Perluigi,and D. Allan Butterfield
17. Isotope-Labeling and Affinity Enrichment of Phosphopeptides for Proteomic Analysis Using Liquid Chromatography-Tandem Mass Spectrometry 303
Uma Kota,Ko-yi Chien,and Michael B. Goshe
PART VII SUBCELLULAR PROTEOMICS
18. Organelle Proteomics:Reduction of Sample Complexity by Enzymatic In-Gel Selection of Native Proteins 325
Veronika Reisinger and Lutz A. Eichacker
19. Isolation of Plasma Membranes from the Nervous System by Countercurrent Distribution in Aqueous Polymer Two-Phase Systems 335
Jens Schindler and Hans Gerd Nothwang
20. Enrichment and Preparation of Plasma Membrane Proteins from Arabidopsis thaliana for Global Proteomic Analysis Using Liquid Chromatography-Tandem Mass Spectrometry 341
Srijeet K. Mitra,Steven D

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蛋白质组学:研究方法与实验方案 节选

PART I INTRODUCTION Chapter 1 Introduction to Proteomics Friedrich Lottspeich Summary In this chapter, the evolvement of proteomics from classical protein chemistry is depicted. The challenges of complexity and dynamics led to several new approaches and to the firm belief that a valuable proteomics technique has to be quantitative. Protein-based vs. peptide-based techniques, gel-based vs. non-gel-based proteomics, targeted vs. general proteomics, isotopic labeling vs. label-free techniques, and the importance of informatics are summarized and compared. A short outlook into the near future is given at the end of the chapter. Key words: History , Quantitative proteomics , Targeted proteomics , Isotopic labeling , Protein-based proteomics , Peptide-based proteomics 1. The History and the Challenge In the end of the last century, a change of paradigm from the pure function driven biosciences to systematic and holistic approaches has taken place. Following the successful genomics projects, classical protein chemistry has evolved into a high throughput and systematic science, called proteomics. Starting in 1995, the first attempts to deliver a “protein complement of the genome” used the established high-resolving separation techniques like two-dimensional (2D) gel electrophoresis and almost exclusively identified the proteins by the increasingly powerful mass spectrometry. Soon, fundamental and technical challenges were recognized. Unlike the genome, the proteome is dynamic, responding to any change in genetic and environmental parameters. Furthermore, the proteome appears to be orders of magnitude more complex than a genome owing to splicing and editing processes at the RNA level and owing to all the posttranslational events on the protein level, like limited processing, post-translational modifications, and degradation. The situation is even more difficult, since many important proteins are only present in a few copies/cells and have to be identified and quantified in the presence of a large excess of many other proteins. The dynamic range of the abundant and the minor proteins often exceeds the capabilities of all analytical methods. So far, only few solutions are available to handle the complexity and dynamic range. One is to reduce the complexity of the proteome and to separate the low abundant proteins from the more abundant ones. This, for example, can be achieved by multidimensional separation steps. But, unpredictable losses of proteins and a large number of resulting fractions make this approach time-consuming and thus also very costly. Alternatively, the proteome to be investigated can be simplified by starting with a specific biological compartment or by reducing the complexity using a suitable sample preparation (e.g. enzyme ligand chips, functionalized surface chips, class-specific antibodies). Successful examples are the analysis of functional complexes or most interaction proteomics approaches. In another approach, a selective detection is performed, which visualizes only a certain number of proteins that exhibit specific common properties. This can be achieved by antibodies, selective staining protocols, protein ligands, or selective mass spectrometry techniques like MRM (multiple reaction monitoring) or SRM (single reaction monitoring) ( 1 ) . The most straightforward application of this approach is “targeted proteomics,” which monitors a small set of well-known proteins/peptides. However, in the later years of the past century, the main focus of proteomics projects was to decipher the constituents of a proteome. It was realized only slowly that for solving biological problems and realizing the potential of holistic approaches, the changes and the dynamics of changes on the protein level have to be monitored quantitatively. 2. Gel-Based Proteomics Since 1975 by their introduction in by O’Farrel ( 2 ) and Klose ( 3 ) , 2D gels have fascinated many scientists owing to their separation power. The combination of a concentrating technique, i.e. isoelectric focusing, with a separation according to molecular mass, i.e. SDS gel electrophoresis, provides a space for resolving more than 10,000 different compounds. Consequently, 2D gels were the method of choice when dealing with very complex protein mixtures like proteomes. Unfortunately, gel-based proteomics had inherent limitations in reproducibility and dynamic range. Standard operating procedures had to be carefully followed to get almost reproducible results even within one lab. Results produced from identical samples in different labs were hardly comparable on a quantitative level. A significant improvement was the introduction of the DIGE technique (GE Healthcare), a multiplexed fluorescent Cy-Dye staining of different proteome states, which eliminated to a large extent the technical irreproducibility (4) . With the cysteine-modifying “DIGE saturation labeling,” impressive proteome visualizatio

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