One-step sample concentration, purification, and albumin depletion method for urinary proteomics

Workflows in urinary proteomics studies are often complex and require many steps to enrich, purify, deplete, and separate the complex mixture. Many of these methods are laborious, are time-consuming, and have the potential for error. Although individual steps of these methods have been previously studied, their downstream compatibilities with fractionation technologies such as off-gel electrophoresis have not been investigated. We developed a one-step sample preparation workflow that simultaneously (i) concentrates proteins, (ii) purifies by removing salts and other low molecular weight compounds, and (iii) depletes (albumin) from urine samples. This simple and robust workflow can be multiplexed and is compatible with a diverse range of downstream multidimensional separation technologies. Additionally, because of its high reproducibility and flexibility in processing samples with different volumes and concentrations, it has the potential to be used for standardization of urinary proteomics studies, as well as for studying other body fluids of similar complexity.     

Peptidomics, current status

Characterisation of the complement of expressed proteins from a single genome is a central focus of the evolving field of proteomics. Traditional proteomics technologies were developed in the 20th century and are based on two-dimensional electrophoresis or multidimensional liquid chromatography. These facilitated functional genomics analysis, but they currently represent a significant bottleneck to progress in this area. We are now witnessing the development of novel alternative technologies for use in expression proteomics research. This review aims to familiarise the reader with the principles underlying the peptidomics approaches to proteomics research and provide examples of their applications.     

A proteomics strategy for the analysis of bacterial biodegradation pathways

Bacterial biodegradation (bioremediation) is the use of microorganisms to break down organic materials into simpler compounds; it plays a pivotal role in the clean-up of hazardous wastes in the environment. Following the completion of genome sequencing in bacteria capable of biodegradation, functional genomic studies have played a major role in obtaining information on bacterial biodegradation pathways. Novel proteomics technologies have recently been developed to make it possible to analyze global protein expression. Proteomics can also provide important information on the life cycle, regulation, and post-translational modification of proteins induced under specific conditions. Proteomics technologies have been applied to the comprehensive study of bacterial biodegradation. In this paper, we introduce the proteomics technologies applicable to bacterial biodegradation studies, review the results of the proteomics analysis of representative biodegrading bacteria, and discuss the potential use of proteomics technologies in future biodegradation studies.     

Proteomics in drug discovery

Drug discovery is a prolonged process that uses a variety of tools from diverse fields. To accelerate the process, a number of biotechnologies, including genomics, proteomics and a number of cellular and organismic methodologies, have been developed. Proteomics development faces interdisciplinary challenges, including both the traditional (biology and chemistry) and the emerging (high-throughput automation and bioinformatics). Emergent technologies include two-dimensional gel electrophoresis, mass spectrometry, protein arrays, isotope-encoding, two-hybrid systems, information technology and activity-based assays. These technologies, as part of the arsenal of proteomics techniques, are advancing the utility of proteomics in the drug-discovery process.     

Driving biochemical discovery with quantitative proteomics

Proteomic analysis of biological samples plays an increasing role in modern research. Although the application of proteomics technologies varies across many disciplines, proteomics largely is a tool for discovery that then leads to novel hypotheses. In recent years, new methods and technologies have been developed and applied in many areas of proteomics, and there is a strong push towards using proteomics in a quantitative manner. Indeed, mass spectrometry-based, quantitative proteomics approaches have been applied to great success in a variety of biochemical studies. In particular, the use of quantitative proteomics provides new insights into protein complexes and post-translational modifications and leads to the generation of novel insights into these important biochemical systems.     

Advances in quantitative proteomics

Large-scale protein quantification has become a major proteomics application in many areas of biological and medical research. During the past years, different techniques have been developed, including gel-based such as differential in-gel electrophoresis (DIGE) and liquid chromatography-based such as isotope labeling and label-free quantification. These quantitative proteomics tools hold significant promise for biomarker discovery, diagnostic and therapeutic applications. They are also important for research in functional genomics and systems biology towards basic understanding of molecular networks and pathway interactions. In this review, we summarize current technologies in quantitative proteomics and discuss recent applications of the technologies.     

Building consensus spectral libraries for peptide identification in proteomics

Spectral searching has drawn increasing interest as an alternative to sequence-database searching in proteomics. We developed and validated an open-source software toolkit, SpectraST, to enable proteomics researchers to build spectral libraries and to integrate this promising approach in their data-analysis pipeline. It allows individual researchers to condense raw data into spectral libraries, summarizing information about observed proteomes into a concise and retrievable format for future data analyses.     

iTRAQ技术及其在蛋白质组学中的应用

近年来随着蛋白质组学的迅速发展,其相应的方法学研究也取得了巨大的进步, 一系列新技术融入了蛋白质组学研究中,极大地促进了这门学科的发展.相对和绝对定量同位素标记(iTRAQ)技术与高度敏感性和准确性的串联质谱及多维液相色谱联用技术已成为蛋白质定性和定量研究的主要工具之一. 该技术可对复杂样本、细胞器、细 胞裂解液等样本进行相对和绝对定量研究,具有较好的定量效果、较高的重复性.由于其能够同时对多达8种样品进行标记分析,故在生命科学的各个领域得到了广泛的应用.本文对iTRAQ的原理、实验流程、优缺点及近几年的应用进展进行综述.     

SELDI-TOF-MS技术在实验诊断中的应用

表面增强激光解析电离飞行时间质谱(surface-enhanced laserdesorption/inionation-time of flight-mass spectra,SELDI-TOF-MS)为蛋白质组学研究提供了最为有效的技术平台。它将芯片技术和飞行时间质谱技术相结合,整合样品分离、纯化及检测分析为一体,实现了快速、高效、高通量检测,是在分子水平上诊断疾病的非常重要的工具。     

PPI spider: A tool for the interpretation of proteomics data in the context of protein–protein interaction networks

Recent advances in experimental technologies allow for the detection of a complete cell proteome. Proteins that are expressed at a particular cell state or in a particular compartment as well as proteins with differential expression between various cells states are commonly delivered by many proteomics studies. Once a list of proteins is derived, a major challenge is to interpret the identified set of proteins in the biological context. Protein–protein interaction (PPI) data represents abundant information that can be employed for this purpose. However, these data have not yet been fully exploited due to the absence of a methodological framework that can integrate this type of information. Here, we propose to infer a network model from an experimentally identified protein list based on the available information about the topology of the global PPI network. We propose to use a Monte Carlo simulation procedure to compute the statistical significance of the inferred models. The method has been implemented as a freely available web‐based tool, PPI spider ( http://mips.helmholtz‐muenchen.de/proj/ppispider ). To support the practical significance of PPI spider, we collected several hundreds of recently published experimental proteomics studies that reported lists of proteins in various biological contexts. We reanalyzed them using PPI spider and demonstrated that in most cases PPI spider could provide statistically significant hypotheses that are helpful for understanding of the protein list.     

Application of immobilized metal affinity chromatography in proteomics

It has been proved that the progress of proteomics is mostly determined by the development of advanced and sensitive protein separation technologies. Immobilized metal affinity chromatography (IMAC) is a powerful protein fractionation method used to enrich metal-associated proteins and peptides. In proteomics, IMAC has been widely employed as a prefractionation method to increase the resolution in protein separation. The combination of IMAC with other protein analytical technologies has been successfully utilized to characterize metalloproteome and post-translational modifications. In the near future, newly developed IMAC integrated with other proteomic methods will greatly contribute to the revolution of expression, cell-mapping and structural proteomics.     

Application of immobilized metal affinity chromatography in proteomics

It has been proved that the progress of proteomics is mostly determined by the development of advanced and sensitive protein separation technologies. Immobilized metal affinity chromatography (IMAC) is a powerful protein fractionation method used to enrich metal-associated proteins and peptides. In proteomics, IMAC has been widely employed as a prefractionation method to increase the resolution in protein separation. The combination of IMAC with other protein analytical technologies has been successfully utilized to characterize metalloproteome and post-translational modifications. In the near future, newly developed IMAC integrated with other proteomic methods will greatly contribute to the revolution of expression, cell-mapping and structural proteomics.     

Geographical focus. Proteomics initiatives in Spain: ProteoRed

The Spanish National Network of Proteomic Facilities--ProteoRed has been created as an initiative for the coordination, integration and development of the proteomics facilities and laboratories distributed throughout Spain. ProteoRed's main objective is to give support to the scientific community allowing them wide access to emerging proteomics technologies and thus encouraging the science of proteomics. In addition, standardization of protocols and robustness of workflows are addressed by multi-centric laboratory activities. Educational, training and dissemination issues are part of the core activities of ProteoRed. To reach these objectives, specific activities have been developed through six working groups (WG1-WG6) covering functional, technical, educational and scientific aspects of proteomics.