Magnetic nanoparticles-based digestion and enrichment methods in proteomics analysis

In proteome research, rapid and effective proteolysis and enrichment strategies are essential for successful protein identification. Functionalized magnetic microspheres of micro- and nano-meter size are gaining increasing attention due to their easy manipulation and recovery, great specific surface areas and high surface activity. The introduction of magnetic nanoparticles into the field of proteomics study has accelerated the development of digestion and enrichment methods. In this article, we mainly focus on recent developments of using different functionalized magnetic nanoparticles for rapid digestion and preconcentration of low-abundance peptides/proteins, including those containing post-translational modifications, such as phosphorylation and glycosylation, prior to mass spectrometric analysis.     

Membrane protein isolation and identification by covalent binding for proteome research

A novel method to achieve highly efficient identification of membrane proteins (MPs) has been developed based on a covalent binding (CB) strategy. For this purpose, magnetic nanoparticles coated with a PEG layer were synthesized. The PEG chain end was functionalized to form the PEG‐tresyl group, which is an octopus‐like long arm to capture the free amino groups of MPs. The long arm could be used to bind proteins in a high concentration of the SDS medium. Then, the SDS and interfering substances were completely depleted by washing. The CB proteins could form a molecular monolayer on the surface of the nanoparticles in the denatured state, which was significantly favorable for the proteolysis of MPs. Therefore, isolation with CB and highly efficient digestion resulted in a larger scale of MPs. The method has been verified by a proteome identification of mouse liver samples. A total of 2946 MPs were identified in an MP fraction. A total of 1505 proteins were characterized as integral MPs, and 735 MPs were identified beyond the largest database summarized by PeptideAtlas. This approach has great potential for membrane proteome research.     

A new application of microwave technology to proteomics

Two-dimensional electrophoresis (2-DE) combined with mass spectrometry has significantly improved the possibilities of large-scale identification of proteins. However, 2-DE is limited by its inability to speed up the in-gel digestion process. We have developed a new approach to speed up the protein identification process utilizing microwave technology. Proteins excised from gels are subjected to in-gel digestion with endoprotease trypsin by microwave irradiation, which rapidly produces peptide fragments. The peptide fragments were further analyzed by matrix-assisted laser desorption/ionization technique for protein identification. The efficacy of this technique for protein mapping was demonstrated by the mass spectral analyses of the peptide fragmentation of several proteins, including lysozyme, albumin, conalbumin, and ribonuclease A. The method reduced the required time for in-gel digestion of proteins from 16 hours to as little as five minutes. This new application of microwave technology to protein identification will be an important advancement in biotechnology and proteome research.     

Immobilization of trypsin on superparamagnetic nanoparticles for rapid and effective proteolysis

In this work, a novel and facile route was developed for the immobilization of enzyme on nanosized magnetic particles, and its application to fast protein digestion via a direct MALDI-TOF mass spectrometry analysis was demonstrated. At first, amine-functionalized magnetic particles with high magnetic responsivity and excellent dispersibility were prepared through a facile one-pot strategy. Then, magnetic nanoparticles were functionalized with numerous aldehyde(-CHO) groups by treating the as-synthesized, amine-functionalized magnetic nanoparticles with glutaraldehyde. Finally, immobilization of trypsin onto the aldehyde-functionalized magnetic nanoparticles was achieved through reaction of the aldehyde groups with amine groups of trypsin. The obtained trypsin-immobilized magnetic nanoparticles were conveniently applied for protein digestion. The digestion efficiency was demonstrated with peptide mapping analysis of three model proteins. The process of digestion is very facile due to the easy manipulation of magnetic nanoparticles. Complete protein digestion was achieved in a short time (5 min), without any complicated reduction and alkylation procedures. These results are expected to open up a new possibility for the proteolysis analysis as well as a new application of magnetic nanoparticles. Additionally, it is worth noting that, since the preparation and surface functionality of magnetic nanoparticles is low-cost and reproducible, the preparation method and application approach of the magnetic nanoparticles may find much potential in proteome research.     

Efficient chymotryptic proteolysis enhanced by infrared radiation for peptide mapping

Infrared (IR) radiation was employed to enhance the efficiency of chymotryptic proteolysis for peptide mapping in this work. Protein solutions containing chymotrypsin in sealed transparent Eppendorf tubes were allowed to digest under an IR lamp at 37 degrees C. BSA and cytochrome c (Cyt- c) were digested by IR-assisted chymotryptic proteolysis to demonstrate the feasibility and performance of the novel digestion approach and the digestion time was significantly reduced to 5 min. The obtained digests were further identified by MALDI-TOF MS with the sequence coverages that were comparable to those obtained by using conventional in-solution digestion. The suitability of IR-assisted chymotryptic proteolysis to complex proteins was demonstrated by digesting human serum. The present proteolysis strategy is simple and efficient, offering great promise for high-throughput protein identification.     

Infrared-assisted tryptic proteolysis for peptide mapping

In this report, infrared (IR) radiation was employed to enhance the efficiency of tryptic proteolysis for peptide mapping. Protein solutions containing trypsin in sealed transparent Eppendorf tubes were allowed to digest under an IR lamp at 37 degrees C. The feasibility and performance of the novel proteolysis approach were demonstrated by the digestion of BSA and myoglobin (MYO) and the digestion time was significantly reduced to 5 min. The obtained digests were identified by MALDI-TOF MS with the sequence coverages of 69% (BSA) and 90% (MYO) that were much better than those obtained by conventional in-solution tryptic digestion. The present IR-assisted proteolysis strategy is simple and efficient, offering great promise for high-throughput protein identification.     

Proteomics: general strategies and application to nutritionally relevant proteins

Proteomics as a subset of applied genomics technologies will be a key area of biology during the first decade or two of the new Millennium, and that it will have major impact, both directly and indirectly, on nutritional science. The aim of this review is to summarize information about general strategies of proteome and its application to important food proteins (plant, animal, and microbial). Methods are also described for protein separation, identification and determination. This article covers papers published within the last decade.     

Novel microwave-assisted digestion by trypsin-immobilized magnetic nanoparticles for proteomic analysis

In this study, a novel microwave-assisted protein digestion method was developed using trypsin-immobilized magnetic nanoparticles (TIMNs). The magnetic nanoparticles worked as not only substrate for enzyme immobilization, but also excellent microwave irradiation absorber and, thus, improved the efficiency of microwave-assisted digestion greatly. Three standard proteins, bovine serum albumin (BSA), myoglobin, and cytochrome c, were used to optimize the conditions of this novel digestion method. With the optimized conditions, peptide fragments produced in very short time (only 15 s) could be identified successfully by MALDI-TOF-MS. When it was compared to the conventional in-solution digestion (12 h), equivalent or better digestion efficiency was observed. Even when protein quantity was as low as micrograms, this novel digestion method still could digest proteins successfully, while the same samples by conventional in-solution digestion failed. Moreover, with an external magnetic field, the enzyme could be removed easily and reused. It was verified that, after 4 replicate runs, the TIMNs still kept high activity. To further confirm the efficiency of this rapid digestion method for proteome analysis, it was applied to the protein extract of rat liver. Without any preparation and prefractionation processing, the entire proteome digested by TIMNs in 15 s went through LC-ESI-MS/MS direct analysis. The whole shotgun proteomic experiment was finished in only 1 h with the identification of 313 proteins ( p < 0.01). This new application of TIMNs in microwave-assisted protein digestion really opens a route for large-scale proteomic analysis.     

High-throughput proteomics using antibody microarrays

Antibody-based microarrays are a novel technology that hold great promise in proteomics. Microarrays can be printed with thousands of recombinant antibodies carrying the desired specificities, the biologic sample (e.g., an entire proteome) and any specifically bound analytes detected. The microarray patterns that are generated can then be converted into proteomic maps, or molecular fingerprints, revealing the composition of the proteome. Using this tool, global proteome analysis and protein expression profiling will thus provide new opportunities for biomarker discovery, drug target identification and disease diagnostics, as well as providing insights into disease biology. Intense work is currently underway to develop this novel technology platform into the high-throughput proteomic tool required by the research community.     

Proteome microarray technology and application: higher,wider, and deeper

ABSTRACT

Introduction: Protein microarray is a powerful tool for both biological study and clinical research. The most useful features of protein microarrays are their miniaturized size (low reagent and sample consumption), high sensitivity and their capability for parallel/high-throughput analysis. The major focus of this review is functional proteome microarray.

Areas covered: For proteome microarray, this review will discuss some recently constructed proteome microarrays and new concepts that have been used for constructing proteome microarrays and data interpretation in past few years, such as PAGES, M-NAPPA strategy, VirD technology, and the first protein microarray database. this review will summarize recent proteomic scale applications and address the limitations and future directions of proteome microarray technology.

Expert opinion: Proteome microarray is a powerful tool for basic biological and clinical research. It is expected to see improvements in the currently used proteome microarrays and the construction of more proteome microarrays for other species by using traditional strategies or novel concepts. It is anticipated that the maximum number of features on a single microarray and the number of possible applications will be increased, and the information that can be obtained from proteome microarray experiments will more in-depth in the future.     

High-throughput proteomics using antibody microarrays

Antibody-based microarrays are a novel technology that hold great promise in proteomics. Microarrays can be printed with thousands of recombinant antibodies carrying the desired specificities, the biologic sample (e.g., an entire proteome) and any specifically bound analytes detected. The microarray patterns that are generated can then be converted into proteomic maps, or molecular fingerprints, revealing the composition of the proteome. Using this tool, global proteome analysis and protein expression profiling will thus provide new opportunities for biomarker discovery, drug target identification and disease diagnostics, as well as providing insights into disease biology. Intense work is currently underway to develop this novel technology platform into the high-throughput proteomic tool required by the research community.     

Combination of online enzyme digestion with stable isotope labeling for high‐throughput quantitative proteome analysis

Various enzyme reactors and online enzyme digestion strategies have been developed in recent years. These reactors greatly enhanced the detection sensitivity and proteome coverage in qualitative proteomics. However, these devices have higher rates of miscleavage in protein digestion. Therefore, we investigated the effect of online enzyme digestion on the quantification accuracy of quantitative proteomics using chemical or metabolic isotope labeling approaches. The incomplete digestion would introduce some unexpected variations in comparative quantification when the samples are digested and then chemically isotope labeled in different aliquots. Even when identical protein aliquots are processed on these devices using post‐digestion chemical isotope labeling and the CVs of the ratios controlled to less than 50% in replicate analyses, about 10% of the quantified proteins have a ratio greater than two‐fold, whereas in theory the ratio is 1:1. Interestingly, the incomplete digestion with enzyme reactor is not a problem when metabolic isotope labeling samples were processed because the proteins are isotopically labeled in vivo prior to their simultaneous digestion within the reactor. Our results also demonstrated that both high quantification accuracy and high proteome coverage can be achieved in comparative proteome quantification using online enzyme digestion even when a limited amount of metabolic isotope labeling samples is used (1683 proteins comparatively quantified from 10⁵ Hela cells).     

Intact proteome fractionation strategies compatible with mass spectrometry

Proteome fractionation refers to separation at the level of intact proteins. Proteome fractionation may precede sample digestion and subsequent peptide-level separation and detection (i.e., bottom-up mass spectrometry [MS]). For top-down MS, proteome fractionation acts as a stand-alone separation platform, since intact proteins are directly analyzed by the mass spectrometer. Regardless of the MS identification strategy, separation of intact proteins has clear benefits as a result of decreasing sample complexity. However, this stage of the workflow also creates considerable challenges, which are generally absent from the counterpart peptide separation experiment. For example, maintaining protein solubility is a key concern before, during and after separation. To this end, surfactants such as sodium dodecyl sulfate may be employed during fractionation, so long as they are eliminated prior to MS. In this article, current strategies for proteome fractionation in a MS-compatible format are reviewed, illustrating the challenges and outlooks on this important aspect of proteomics.     

Design of proteome-based studies in combination with serology for the identification of biomarkers and novel targets

Recently proteome analysis has rapidly developed in the post-genome era and is now widely accepted as a complementary technology to genetic profiling. The improvement in the technology of both two-dimensional electrophoresis (2-DE) analysis as well as protein identification has made proteomics a valuable and powerful tool to study human diseases. A combination of conventional proteome analysis with serology has been developed as a promising experimental approach for the discovery of serological markers in different malignancies. However, the design of proteome-based studies has to be carefully performed since there are a number of critical needs for systematic and reproducible proteome analysis. In particular, the selection of tissue and its preparation represent an important step in proteome analysis. Besides the preparation of protein samples, the 2-DE and protein identification is a further critical issue. So far proteome-based technologies have been successfully used in tumor immunnology for the identification of tumor-specific autoantigens. Similarly, this technology has been employed for the detection of virulence factors, antigens and vaccine candidates in infectious diseases, as well as for the identification of diagnostic and prognostic markers, suggesting that proteome-based analysis is a promising tool for the identification of prognostic, diagnostic markers as well as for novel therapeutic targets which could be used for treatment of diseases. The integration of proteome-based approaches with data from genomic or genetic profiling will lead to a better understanding of different diseases, which will then contribute to the direct translation of the research findings into clinical practice.     

The membrane proteome of stroma thylakoids from Arabidopsis thaliana studied by successive in‐solution and in‐gel digestion

From individual localization and large‐scale proteomic studies, we know that stroma‐exposed thylakoid membranes harbor part of the machinery performing the light‐dependent photosynthetic reactions. The minor components of the stroma thylakoid proteome, regulating and maintaining the photosynthetic machinery, are in the process of being unraveled. In this study, we developed in‐solution and in‐gel proteolytic digestion methods, and used them to identify minor membrane proteins, e.g. transporters, in stroma thylakoids prepared from Arabidopsis thaliana (L.) Heynh Columbia‐0 leaves. In‐solution digestion with chymotrypsin yielded the largest number of peptides, but in combination with methanol extraction resulted in identification of the largest number of membrane proteins. Although less efficient in extracting peptides, in‐gel digestion with trypsin and chymotrypsin led to identification of additional proteins. We identified a total of 58 proteins including 44 membrane proteins. Almost half are known thylakoid proteins with roles in photosynthetic light reactions, proteolysis and import. The other half, including many transporters, are not known as chloroplast proteins, because they have been either curated (manually assigned) to other cellular compartments or not curated at all at the plastid protein databases. Transporters include ATP‐binding cassette (ABC) proteins, transporters for K⁺ and other cations. Other proteins either have a role in processes probably linked to photosynthesis, namely translation, metabolism, stress and signaling or are contaminants. Our results indicate that all these proteins are present in stroma thylakoids; however, individual studies are required to validate their location and putative roles. This study also provides strategies complementary to traditional methods for identification of membrane proteins from other cellular compartments.     

Peak bagging for peptide mass fingerprinting

MOTIVATION: Mass Spectrometry (MS)-based protein identification via peptide mass fingerprinting (PMF) is a key component in high-throughput proteome research. While PMF was the first commonly used protein identification method, provided higher throughput than the tandem MS-based method, its accuracy is lower than that of the tandem MS method. Thus, it is desirable to develop PMF-based algorithm with higher protein identification accuracy to facilitate proteome research. RESULTS: We propose a peak bagging method for single MS-based protein identification. It combines results from multiple PMF algorithms, where each PMF algorithm takes a random peak subset as input. Evaluation with a set of real MALDI-TOF MS spectra shows that the new peak bagging method provides consistent improvements over the single PMF algorithm.     

Building protein-protein interaction networks with proteomics and informatics tools

The systematic characterization of the whole interactomes of different model organisms has revealed that the eukaryotic proteome is highly interconnected. Therefore, biological research is progressively shifting away from classical approaches that focus only on a few proteins toward whole protein interaction networks to describe the relationship of proteins in biological processes. In this minireview, we survey the most common methods for the systematic identification of protein interactions and exemplify different strategies for the generation of protein interaction networks. In particular, we will focus on the recent development of protein interaction networks derived from quantitative proteomics data sets.     

Proteome signatures—how are they obtained and what do they teach us?

The dawn of a new Proteomics era, just over a decade ago, allowed for large-scale protein profiling studies that have been applied in the identification of distinctive molecular cell signatures. Proteomics provides a powerful approach for identifying and studying these multiple molecular markers in a vast array of biological systems, whether focusing on basic biological research, diagnosis, therapeutics, or systems biology. This is a continuously expanding field that relies on the combination of different methodologies and current advances, both technological and analytical, which have led to an explosion of protein signatures and biomarker candidates. But how are these biological markers obtained? And, most importantly, what can we learn from them? Herein, we briefly overview the currently available approaches for obtaining relevant information at the proteome level, while noting the current and future roles of both traditional and modern proteomics. Moreover, we provide some considerations on how the development of powerful and robust bioinformatics tools will greatly benefit high-throughput proteomics. Such strategies are of the utmost importance in the rapidly emerging field of immunoproteomics, which may play a key role in the identification of antigens with diagnostic and/or therapeutic potential and in the development of new vaccines. Finally, we consider the present limitations in the discovery of new signatures and biomarkers and speculate on how such hurdles may be overcome, while also offering a prospect for the next few years in what could be one of the most significant strategies in translational medicine research.