Activity-based probes as a tool for functional proteomic analysis of proteases

Traditional proteomics methodology allows global analysis of protein abundance but does not provide information on the regulation of protein activity. Proteases, in particular, are known for their multilayered post-translational activity regulation that can lead to a significant difference between protease abundance levels and their enzyme activity. To address these issues, the field of activity-based proteomics has been established in order to characterize protein activity and monitor the functional regulation of enzymes in complex proteomes. In this review, we present structural features of activity-based probes for proteases and discuss their applications in proteomic profiling of various catalytic classes of proteases.     

The necessity of functional proteomics: protein species and molecular function elucidation exemplified by in vivo alpha A crystallin N-terminal truncation

Summary. Ten years after the establishment of the term proteome, the science surrounding it has yet to fulfill its potential. While a host of technologies have generated lists of protein names, there are only a few reported studies that have examined the individual proteins at the covalent chemical level defined as protein species in 1997 and their function. In the current study, we demonstrate that this is possible with two-dimensional gel electrophoresis (2-DE) and mass spectrometry by presenting clear evidence of in vivo N-terminal alpha A crystallin truncation and relating this newly detected protein species to alpha crystallin activity regulation by protease cleavage in the healthy young murine lens. We assess the present state of technology and suggest a shift in resources and paradigm for the routine attainment of the protein species level in proteomics.     

Using peptidyl aldehydes in activity-based proteomics

The broad inhibitory spectrum of aldehydes and the possibility that amino acid residues modulate their specificity point to the potential of using peptidyl aldehydes as activity-based probes. Here, we establish the potential of peptidyl aldehydes in activity-based proteomics by synthesizing different probes and using them to specifically label a well-known serine protease in an activity-dependent manner. From our results, peptidyl aldehydes emerge as promising activity-based probes that enable multiple enzymatic-class detection by substrate recognition and can be used in diverse activity-based proteomics applications like protein identification and activity profiling.     

Activity-based probes as a tool for functional proteomic analysis of proteases

Traditional proteomics methodology allows global analysis of protein abundance but does not provide information on the regulation of protein activity. Proteases, in particular, are known for their multilayered post-translational activity regulation that can lead to a significant difference between protease abundance levels and their enzyme activity. To address these issues, the field of activity-based proteomics has been established in order to characterize protein activity and monitor the functional regulation of enzymes in complex proteomes. In this review, we present structural features of activity-based probes for proteases and discuss their applications in proteomic profiling of various catalytic classes of proteases.     

Proteomic databases and software on the web

In the wake of sequencing projects, protein function analysis is evolving fast, from the careful design of assays that address specific questions to 'large-scale' proteomics technologies that yield proteome-wide maps of protein expression or interaction.As these new technologies depend heavily on information storage, representation and analysis, existing databases and software tools are being adapted, while new resources are emerging.This paper describes the proteomics databases and software available through the World-Wide Web, focusing on their present use and applicability.As the resource situation is highly transitory, trends and probable evolutions are discussed whenever applicable.     

Proteomics meets microbiology: technical advances in the global mapping of protein expression and function

The availability of complete genome sequences for a large number of pathogenic organisms has opened the door for large-scale proteomic studies to dissect both protein expression/regulation and function. This review highlights key proteomic methods including two-dimensional gel electrophoresis, reference mapping, protein expression profiling and recent advances in gel-free separation techniques that have made a significant impact on the resolution of complex proteomes. In addition, we highlight recent developments in the field of chemical proteomics, a branch of proteomics aimed at functionally profiling a proteome. These techniques include the development of activity-based probes and activity-based protein profiling methods as well as the use of synthetic small molecule libraries to screen for pharmacological tools to perturb basic biological processes. This review will focus on the applications of these technologies to the field of microbiology.     

Use of focused ultrasonication in activity-based profiling of deubiquitinating enzymes in tissue

To develop a reproducible tissue lysis method that retains enzyme function for activity-based protein profiling, we compared four different methods to obtain protein extracts from bovine lung tissue: focused ultrasonication, standard sonication, mortar & pestle method, and homogenization combined with standard sonication. Focused ultrasonication and mortar & pestle methods were sufficiently effective for activity-based profiling of deubiquitinases in tissue, and focused ultrasonication also had the fastest processing time. We used focused-ultrasonicator for subsequent activity-based proteomic analysis of deubiquitinases to test the compatibility of this method in sample preparation for activity-based chemical proteomics.     

Activity-based proteomics: enzyme chemistry redux

The principles of enzyme chemistry, mechanism of action and inhibitor design are being applied to proteomics by the development of activity-based probes. This approach suggests a potentially broad method for interrogating enzyme family members, both known and unknown, in cells and proteomic fractions without the need for individual assay development and isolation. The serine hydrolases and cysteine proteases have provided the proofs of concept for activity-based proteomics, and other studies are rapidly following. The result will be a proteomics technology of great value to drug discovery and development.     

Proteomic profiling of mechanistically distinct enzyme classes using a common chemotype

Proteomics research requires methods to characterize the expression and function of proteins in complex mixtures. Toward this end, chemical probes that incorporate known affinity labeling agents have facilitated the activity-based profiling of certain enzyme families. To accelerate the discovery of proteomics probes for enzyme classes lacking cognate affinity labels, we describe here a combinatorial strategy. Members of a probe library bearing a sulfonate ester chemotype were screened against complex proteomes for activity-dependent protein reactivity, resulting in the labeling of at least six mechanistically distinct enzyme classes. Surprisingly, none of these enzymes represented targets of previously described proteomics probes. The sulfonate library was used to identify an omega-class glutathione S-transferase whose activity was upregulated in invasive human breast cancer lines. These results indicate that activity-based probes compatible with whole-proteome analysis can be developed for numerous enzyme classes and applied to identify enzymes associated with discrete pathological states.     

Chemical proteomics and its impact on the drug discovery process

Despite the rapid growth of postgenomic data and fast-paced technology advancement, drug discovery is still a lengthy and difficult process. More effective drug design requires a better understanding of the interaction between drug candidates and their targets/off-targets in various situations. The ability of chemical proteomics to integrate a multiplicity of disciplines enables the direct analysis of protein activities on a proteome-wide scale, which has enormous potential to facilitate drug target elucidation and lead drug verification. Over recent years, chemical proteomics has experienced rapid growth and provided a valuable method for drug target identification and inhibitor discovery. This review introduces basic concepts and technologies of different popular chemical proteomic approaches. It also covers the essential features and recent advances of each approach while underscoring their potentials in drug discovery and development.     

Surprising insights that aren’t so surprising in the modeling of sulfur amino acid metabolism

Summary. The modeling of whole organism sulfur amino acid flux control has been aided in recent years by advancements in proteomics and mass spectroscopy-based metabolite analysis. The convergence of these two fields and their respective techniques, as demonstrated by a new study using yeast by Lafaye et al., has shown that researchers seeking to model whole cell/organism metabolism should give careful consideration to the relationships connecting enzyme concentration, enzyme activity, substrate concentration, and metabolic flux. In this paper, we outline some of the fundamental concepts for modeling sulfur amino acid metabolism and how they relate to our current understanding of mammalian sulfur amino acid metabolism.     

Small-molecule probes elucidate global enzyme activity in a proteomic context

The recent dramatic improvements in high-resolution mass spectrometry (MS) have revolutionized the speed and scope of proteomic studies. Conventional MS-based proteomics methodologies allow global protein profiling based on expression levels. Although these techniques are promising, there are numerous biological activities yet to be unveiled, such as the dynamic regulation of enzyme activity. Chemical proteomics is an emerging field that extends these types proteomic profiling. In particular, activity-based protein profiling (ABPP) utilizes small-molecule probes to monitor enzyme activity directly in living intact subjects. In this mini-review, we summarize the unique roles of smallmolecule probes in proteomics studies and highlight some recent examples in which this principle has been applied. [BMB Reports 2014; 47(3): 149-157]     

Gas chromatographic determination and mechanism of formation of D-amino acids occurring in fermented and roasted cocoa beans, cocoa powder, chocolate and cocoa shell

Summary. Pseudomonas sp. strain phDV1, being a phenol degrading bacterium, has been found to utilize phenol as sole carbon source via the meta pathway. Blue native polyacrylamide gel electrophoresis (BN-PAGE) is widely used for the analysis of oligomeric state and molecular mass non-dissociated protein complexes. In this study, a number of proteomic techniques were used to investigate the oligomeric state enzymes involved in the aromatic degradation pathway. In particular, the Pseudomonas sp. strain phDV1 proteome was monitored under two different growth substrate conditions, using glucose or phenol as sole carbon source. The protein complexes map was compared by BN-PAGE after fractionation by sucrose density centrifugation of the cell extracts. Multiple differences were detected. Further, analysis and identification of the subunit composition of these complexes was carried out using MALDI-TOF MS, allowing the identification of 49 proteins. Additionally, functional information regarding protein–protein interactions was assembled, by coupling 2-D BN-PAGE with MALDI-TOF MS. Application of this functional proteomics method resulted in an higher number of the identified proteins.     

基因芯片技术和蛋白质组技术在神经科学中的应用及其研究进展

基因芯片技术和蛋白质组技术是最近发展起来的高通量技术,二者的出现使同时分析神经系统的大量基因的表达和基因产物蛋白质及其相互作用网络成为可能。它们在神经科学中的应用为了解脑功能提供了前所未有的机会。一个典型的基因芯片实验包括：芯片的准备或购买、靶DNA和探针的准备或标记、标记探针与靶DNA的杂交、芯片扫描和影象信息的数据分析。蛋白质组技术较为复杂,包括蛋白质分离、鉴定和信息分析三方面的内容。其中,分离技术多种多样。若分离技术以二维电泳为基础,则该实验通常由以下步骤组成：蛋白质样品的准备、电泳分离、染胶、分离蛋白点的切除、蛋白质的酶解(常用胰蛋白酶)、质谱分析(鉴定)和数据的信息处理。本文综述这两项技术的内容和实验步骤,然后着重叙述它们在神经科学中的应用,讨论其优缺点和面临的挑战,展望其发展前景。     

Chemical proteomics from a nuclear magnetic resonance spectroscopy perspective

Proteomics is the study of the protein complement of a genome and employs a number of newly emerging tools. One such tool is chemical proteomics, which is a branch of proteomics devoted to the exploration of protein function using both in vitro and in vivo chemical probes. Chemical proteomics aims to define protein function and mechanism at the level of directly observed protein–ligand interactions, whereas chemical genomics aims to define the biological role of a protein using chemical knockouts and observing phenotypic changes. Chemical proteomics is therefore traditional mechanistic biochemistry performed in a systems-based manner, using either activity- or affinity-based probes that target proteins related by chemical reactivities or by binding site shape/properties, respectively. Systems are groups of proteins related by metabolic pathway, regulatory pathway or binding to the same ligand. Studies can be based on two main types of proteome samples: pooled proteins (1 mixture of N proteins) or isolated proteins in a given system and studied in parallel (N single protein samples). Although the field of chemical proteomics originated with the use of covalent labeling strategies such as isotope-coded affinity tagging, it is expanding to include chemical probes that bind proteins noncovalently, and to include more methods for observing protein–ligand interactions. This review presents an emerging role for nuclear magnetic resonance spectroscopy in chemical proteomics, both in vitro and in vivo. Applications include: functional proteomics using cofactor fingerprinting to assign proteins to gene families; gene family-based structural characterizations of protein–ligand complexes; gene family-focused design of drug leads; and chemical proteomic probes using nuclear magnetic resonance SOLVE and studies of protein–ligand interactions in vivo.     

Protein microarrays and their applications

In recent years, the importance of proteomic works, such as protein expression, detection and identification, has grown in the fields of proteomic and diagnostic research. This is because complete genome sequences of humans, and other organisms, progress as cellular processing and controlling are performed by proteins as well as DNA or RNA. However, conventional protein analyses are time-consuming; therefore, high throughput protein analysis methods, which allow fast, direct and quantitative detection, are needed. These are so-called protein microarrays or protein chips, which have been developed to fulfill the need for high-throughput protein analyses. Although protein arrays are still in their infancy, technical development in immobilizing proteins in their native conformation on arrays, and the development of more sensitive detection methods, will facilitate the rapid deployment of protein arrays as high-throughput protein assay tools in proteomics and diagnostics. This review summarizes the basic technologies that are needed in the fabrication of protein arrays and their recent applications.     

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.     

Interaction Proteomics

The term proteome is traditionally associated with the identification of a large number of proteins within complex mixtures originating from a given organelle, cell or even organism. Current proteome investigations are basically focused on two major areas, expression proteomics and functional proteomics. Both approaches rely on the fractionation of protein mixtures essentially by two-dimensional polyacrylamide gel electrophoresis (2D-gel) and the identification of individual protein bands by mass spectrometric techniques (2D-MS). Functional proteomics approaches are basically addressing two main targets, the elucidation of the biological function of unknown proteins and the definition of cellular mechanisms at the molecular level. In the cell many processes are governed not only by the relative abundance of proteins but also by rapid and transient regulation of activity, association and localization of proteins and protein complexes. The association of an unknown protein with partners belonging to a specific protein complex involved in a particular process would then be strongly suggestive of its biological function. The identification of interacting proteins in stable complexes in a cellular system is essentially achieved by affinity-based procedures. Different strategies relying on this simple concept have been developed and a brief overview of the main approaches presently used in functional proteomics studies is described.