Comprehensive proteome analysis of mouse liver by ampholyte-free liquid-phase isoelectric focusing

In this study, ampholyte-free liquid-phase IEF (LIEF) was combined with narrow pH range 2-DE and SDS-PAGE RP-HPLC for comprehensive analysis of mouse liver proteome. Because LIEF prefractionation was able to reduce the complexity of the sample and enhance the loading capacity of IEF strips, the number of visible protein spots on subsequent 2-DE gels was significantly increased. A total of 6271 protein spots were detected after integrating five narrow pH range 2-DE gels following LIEF prefractionation into a single virtual 2-DE gel. Furthermore, the pH 3-5 LIEF fraction and the unfractionated sample were separated by pH 3-6 2-DE and identified by MALDI-TOF/TOF MS, respectively. In parallel, the pH 3-5 LIEF fraction was also analyzed by SDS-PAGE RP-HPLC MS/MS. LIEF-2-DE and LIEF-HPLC could obviously improve the separation efficiency and the confidence of protein identification, which identified a higher number of low-abundance proteins and proteins with extreme physicochemical characteristics or post-translational modifications compared to conventional 2-DE method. Furthermore, there were 207 proteins newly identified in mouse liver in comparison with previously reported large-scale datasets. It was observed that the combination of LIEF-2-DE and LIEF-HPLC was effective in promoting MS-based liver proteome profiling and could be applied on similar complex tissue samples.     

Large-scale muLC-MS/MS for silver- and Coomassie blue-stained polyacrylamide gels

2-DE combined with LC-MS/MS has become a routine, reliable protein separation and identification technology for proteome analysis. The demand for large-scale protein identifications after 2-DE separation requires a sensitive and high-throughput LC-MS/MS method. In this report, a simple, splitless, fully automated capillary LC-MS/MS system was described for the large-scale identification of proteins from gels stained with either silver or CBB. The gel samples were digested and peptides were extracted using an in-gel digestion workstation. The peptides were automatically introduced into a capillary column by an autosampler connected to an HPLC pump. A nanoLC pump was then used to deliver the gradient and elute the peptides from the capillary column directly into an LCQ IT mass spectrometer. Neither a peptide trapping setting nor a flow split is needed in this simple setup. The collected MS/MS spectra were then automatically searched by SEQUEST, and filtered and organized by DTASelect. Hundreds of silver-stained or CBB-stained Shewanella oneidensis, Geobacter sulfurreducens, and Geobacter metallireducens proteins separated by denaturing or nondenaturing 2-DE were digested and routinely analyzed using this fully automated muLC-MS/MS system. High peptide hits and sequence coverage were achieved for most CBB-stained gel spots. About 75% of the spots were found to contain multiple proteins. Although silver staining is not commonly thought to be optimal for MS analysis, protein identifications were successfully obtained from silver-stained 2-DE spots detected using methods with and without formaldehyde for protein fixation.     

高通量蛋白质组学分析研究进展

基于质谱的蛋白质组学技术已经日趋成熟,可以对细胞和组织中的成千上万种蛋白质进行全面的定性和定量分析,逐步实现“深度覆盖”。随着生物医学日益增长的大队列蛋白质组学分析需求,如何在保持较为理想的覆盖深度下实现短时间、快速的“高通量”蛋白质组学分析已成为当前亟需解决的关键问题之一。常规的蛋白质组学分析流程通常包括样品前处理、色谱分离、质谱检测和数据分析。该文从以上4个方面展开介绍近10年以来高通量蛋白质组学分析技术取得的一系列研究进展,主要包括:(1)基于高通量、自动化移液工作站的蛋白质组样品前处理方法;(2)基于微升流速液相色谱与质谱联用的高通量蛋白质组检测方法;(3)利用灵敏度高、扫描速度快的质谱仪实现短色谱梯度分离下蛋白质组深度覆盖的分析方法;(4)基于人工智能、深度神经网络、机器学习等的蛋白质组学大数据分析方法。此外,对高通量蛋白质组学面临的挑战及其发展进行展望。总而言之,预期在不久的将来高通量蛋白质组学技术将会逐步“落地转化”,成为大队列蛋白质组学分析的利器。     

基于共价色谱分离的含半胱氨酸肽段富集策略

多维色谱分离、串联质谱分析技术已在蛋白质组研究中得到广泛应用。然而生物样品的蛋白质以及全酶切肽段具有高度的复杂性,这严重干扰了蛋白质高通量、规模化的分析。通过标签肽段富集进行样品预分离可以降低体系的复杂程度。本文建立了一种基于共价色谱技术选择性分离富集含半胱氨酸肽的方法,从而降低了样品体系的复杂程度。首先以牛血清白蛋白(BSA)的酶切肽段为模型,对富集条件进行了优化和考察,并在此基础上通过5种蛋白质酶切肽段混合物的富集对该方法进行了验证。结果证明此方法的重现性好,富集效率高,富集特异性好,能有效地富集鉴定含半胱氨酸肽段。所建立的方法在复杂体系的蛋白质组研究中具有广泛的应用前景,为复杂样品的蛋白质高通量、自动化、规模化鉴定和定量研究提供了实用技术。     

In-tip nanoreactors for cancer cells proteome profiling

Mass spectrometry (MS)-based proteome profiling is essential for molecular diagnostics in modern biomedical study. To date, sample preparation including protein extraction and proteolysis is still very challenging and lack of efficiency. Recently tips-based sample preparation protocols exhibit strong potentials to achieve the goal of “a proteome in an hour”. However, in-tip proteolysis is still rarely reported and far from ideal for dealing with complex bio-samples. In this work, nanoreactors encapsulated micropipette tips were demonstrated as high performance devices for fast (∼minutes) and multiplexing proteolysis to assist the profiling of cancer cells proteome. Nanoporous silica materials with controlled pore size and surface chemistry were prepared as nanoreactors and encapsulated in micropipette tips for efficient in situ proteolysis. The as-constructed device showed desirable sensitivity (LOD of 0.204 ± 0.008 ng/μL and LOQ of 0.937 ± 0.055 ng/μL), selectivity, stability (two months under −20 °C), reusability (at least 10 times), and little memory effect in MS based bottom-up proteomic analysis. It was used for comprehensive protein mapping from cancer cell lines. The number of identified proteins was increased by 18%, 22%, 52%, and 52% dealing with HepG2, F56, MCF7, and HCCLM3 cancer cells, compared to traditional in-solution proteolysis based bottom-up proteomic strategy. With the enhanced performance, our work built a novel, efficient and miniaturized platform for facile proteomic sample preparation, which is promising for advanced biomarkers discovery in biomedical study.     

Recent advances in computational analysis of mass spectrometry for proteomic profiling

The proteome, defined as an organism's proteins and their actions, is a highly complex end-effector of molecular and cellular events. Differing amounts of proteins in a sample can be indicators of an individual's health status; thus, it is valuable to identify key proteins that serve as 'biomarkers' for diseases. Since the proteome cannot be simply inferred from the genome due to pre- and posttranslational modifications, a direct approach toward mapping the proteome must be taken. The difficulty in evaluating a large number of individual proteins has been eased with the development of high-throughput methods based on mass spectrometry (MS) of peptide or protein mixtures, bypassing the time-consuming, laborious process of protein purification. However, proteomic profiling by MS requires extensive computational analysis. This article describes key issues and recent advances in computational analysis of mass spectra for biomarker identification.     

Optimal preparation methods for automated matrix‐assisted laser desorption/ionization time‐of‐flight mass spectrometry profiling of low molecular weight proteins and peptides

Mass spectrometry (MS) profiling of the proteome and peptidome for disease‐associated patterns is a new concept in clinical diagnostics. The technique, however, is highly sensitive to external sources of variation leading to potentially unacceptable numbers of false positive and false negative results. Before MS profiling can be confidently implemented in a medical setting, standard experimental methods must be developed that minimize technical variance. Past studies of variance have focused largely on pre‐analytical variation (i.e., sample collection, handling, etc.). Here, we examined how factors at the analytical stage including the matrix and solid‐phase extraction influence MS profiling. Firstly, a standard peptide/protein sample was measured automatically by matrix‐assisted laser desorption/ionization time‐of‐flight (MALDI‐TOF) MS across five consecutive days using two different preparation methods, dried droplet and sample/matrix, of four types of matrix: α‐cyano‐4‐hydroxycinnamic acid (HCCA), sinapinic acid (SA), 2,5‐dihydroxybenzoic acid (DHB) and 2,5‐dihydroxyacetophenone (DHAP). The results indicated that the matrix preparation greatly influenced a number of key parameters of the spectra including repeatability (within‐day variability), reproducibility (inter‐day variability), resolution, signal strength, background intensity and detectability. Secondly, an investigation into the variance associated with C8 magnetic bead extraction of the standard sample prior to automated MS profiling demonstrated that the process did not adversely affect these same parameters. In fact, the spectra were generally more robust following extraction. Thirdly, the best performing matrix preparations were evaluated using C8 magnetic bead extracted human plasma. We conclude that the DHAP prepared according to the dried‐droplet method is the most appropriate matrix to use when performing automated MS profiling. Copyright © 2009 John Wiley & Sons, Ltd.     

Possibilities to improve automation, speed and precision of proteome analysis: a comparison of two-dimensional electrophoresis and alternatives

Proteome analysis requires fast methods with high separation efficiencies in order to screen the various cell and tissue types for their proteome expression and monitor the effect of environmental conditions and time on this expression. The established two-dimensional gel electrophoresis (2-DE) is by far too slow for a consequential screening. Moreover, it is not precise enough to observe changes in protein concentrations. There are various approaches that promise faster, automated proteome analysis. This article concentrates on capillary (CT isoelectric focusing coupled to mass spectrometry (CIEF-MSn) and preparative IEF followed by size-exclusion chromatography, hyphenated with MS (PIEF-SEC-MS). These two approaches provide a similar separation pattern as the established 2-DE technique and therefore allow for the continued use of data based on this traditional approach. Their performances have been discussed and compared to 2-DE, evaluating 169 recent articles. Data on analysis time, automation, the detection limit, quantitation, peak capacity, mass and pI accuracy, as well as on the required sample amount are compared in a table.     

A simple protocol for protein extraction of recalcitrant fruit tissues suitable for 2-DE and MS analysis

Fruit tissues are considered recalcitrant plant tissue for proteomic analysis. Three phenol-free protein extraction procedures for 2-DE were compared and evaluated on apple fruit proteins. Incorporation of hot SDS buffer, extraction with TCA/acetone precipitation was found to be the most effective protocol. The results from SDS-PAGE and 2-DE analysis showed high quality proteins. More than 500 apple polypeptides were separated on a small scale 2-DE gel. The successful protocol was further tested on banana fruit, in which 504 and 386 proteins were detected in peel and flesh tissues, respectively. To demonstrate the quality of the extracted proteins, several protein spots from apple and banana peels were cut from 2-DE gels, analyzed by MS and have been tentatively identified. The protocol described in this study is a simple procedure which could be routinely used in proteomic studies of many types of recalcitrant fruit tissues.     

Down-regulation of Vinculin in Human Colorectal Carcinoma Identified by Proteomics Analysis

In the present study, we aimed to globally profile the proteins involved in colorectal carcinoma(CRC), in order to find clues to the pathological process of CRC. Pairs of malignant tissues and their adjacent healthy tissues from patients with colorectal cancer were subject to differential proteomics analysis. Two dimensional electrophoresis coupled with mass spectrometry(2-DE/MS) was used to identify differentially expressed proteins between pairs of tissue samples. A list of proteins relevant to the progression of colorectal tumor was identified by two dimensional gel electrophoresis(2-DE)-based proteomics approach. Among the identified proteins, vinculin was found to be remarkably down-regulated in colorectal carcinoma tissues. In addition, three phosphorylation modifications within the isolated vinculin were identified by in-depth liquid chromatography-tandem mass spectrometry(LC-MS/MS) analysis. Our results provide a basis for further understanding the pathological significance of vinculin in the regulation of carcinogenesis, invasion and metastasis of colorectal tumors.     

Dried polyacrylamide gel absorption: a method for efficient elimination of the interferences from SDS-solubilized protein samples in mass spectrometry-based proteome analysis

Sample preparation holds an important place in MS-based proteome analysis. For effective proteolysis and MS analysis, it is essential to eliminate the interferences while extracting the analytes of interest from complex mixtures. To address this, herein we describe a new dried polyacrylamide gel absorption method. In this method, the protein sample prepared using high concentration of SDS was directly and completely absorbed by vacuum-dried polyacrylamide gel, and then the interfering substances including SDS and some other salts were efficiently removed by in-gel washing steps while retaining the denatured proteins in the gel, thus offering a clean environment amenable to downstream buffer exchange, proteolytic digestion and digest recovery, etc. In combination with in-gel digestion and LC-MS/MS, the newly developed method was applied to the proteome analyses of membrane-enriched fraction and whole tissue homogenate. It was demonstrated that the method is suitable for the analysis of a complex biological sample and can be widely used for sample cleanup in shotgun proteome analyses.     

Difference gel electrophoresis identifies differentially expressed proteins in endoscopically collected pancreatic fluid

Alterations in the pancreatic fluid proteome of individuals with chronic pancreatitis (CP) may offer insights into the development and progression of the disease. The endoscopic pancreatic function test (ePFT) can safely collect large volumes of pancreatic fluid that are potentially amenable to proteomic analyses using difference gel electrophoresis (DIGE) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS). Pancreatic fluid was collected endoscopically using the ePFT method following secretin stimulation from three individuals with severe CP and three chronic abdominal pain (CAP) controls. The fluid was processed to minimize protein degradation and the protein profiles of each cohort, as determined by DIGE and LC-MS/MS, were compared. This DIGE-LC-MS/MS analysis reveals proteins that are differentially expressed in CP compared with CAP controls. Proteins with higher abundance in pancreatic fluid from CP individuals include: actin, desmoplankin, α-1-antitrypsin, SNC73, and serotransferrin. Those of relatively lower abundance include carboxypeptidase B, lipase, α-1-antichymotrypsin, α-2-macroglobulin, actin-related protein (Arp2/3) subunit 4, glyceraldehyde-3-phosphate dehydrogenase, and protein disulfide isomerase. Endoscopic collection (ePFT) in tandem with DIGE-LC-MS/MS is a suitable approach for pancreatic fluid proteome analysis; however, further optimization of our protocol, as outlined herein, may improve proteome coverage in future analyses.     

High MS-compatibility of silver nitrate-stained protein spots from 2-DE gels using ZipPlates and AnchorChips for successful protein identification

The availability of easy-to-handle, sensitive, and cost-effective protein staining protocols for 2-DE, in conjunction with a high compatibility for subsequent MS analysis, is still a prerequisite for successful proteome research. In this article we describe a quick and easy-to-use methodological protocol based on sensitive, homogeneous, and MS-compatible silver nitrate protein staining, in combination with an in-gel digestion, employing the Millipore 96-well ZipPlate system for peptide preparation. The improved quality and MS compatibility of the generated protein digests, as compared to the otherwise weakly MS-compatible silver nitrate staining, were evaluated on real tissue samples by analyzing 192 Coomassie-stained protein spots against their counterparts from a silver-stained 2-DE gel. Furthermore, the applicability of the experimental setup was evaluated and demonstrated by the analysis of a large-scale MALDI-TOF MS experiment, in which we analyzed an additional ~1000 protein spots from 2-DE gels from mouse liver and mouse brain tissue.     

LC-MS/MS Peptide Mapping with Automated Data Processing for Routine Profiling of N-Glycans in Immunoglobulins

Protein N-Glycan analysis is traditionally performed by high pH anion exchange chromatography (HPAEC), reversed phase liquid chromatography (RPLC), or hydrophilic interaction liquid chromatography (HILIC) on fluorescence-labeled glycans enzymatically released from the glycoprotein. These methods require time-consuming sample preparations and do not provide site-specific glycosylation information. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) peptide mapping is frequently used for protein structural characterization and, as a bonus, can potentially provide glycan profile on each individual glycosylation site. In this work, a recently developed glycopeptide fragmentation model was used for automated identification, based on their MS/MS, of N-glycopeptides from proteolytic digestion of monoclonal antibodies (mAbs). Experimental conditions were optimized to achieve accurate profiling of glycoforms. Glycan profiles obtained from LC-MS/MS peptide mapping were compared with those obtained from HPAEC, RPLC, and HILIC analyses of released glycans for several mAb molecules. Accuracy, reproducibility, and linearity of the LC-MS/MS peptide mapping method for glycan profiling were evaluated. The LC-MS/MS peptide mapping method with fully automated data analysis requires less sample preparation, provides site-specific information, and may serve as an alternative method for routine profiling of N-glycans on immunoglobulins as well as other glycoproteins with simple N-glycans.

Simultaneous lipidomic analysis of three families of bioactive lipid mediators leukotrienes, resolvins, protectins and related hydroxy-fatty acids by liquid chromatography/electrospray ionisation tandem mass spectrometry

Bioactive lipid mediators derived from polyunsaturated fatty acids (PUFA) exhibit a range of tissue- and cell-specific activities in many physiological and pathological processes. Electrospray ionisation tandem mass spectrometry coupled to liquid chromatography (LC/ESI-MS/MS) is a sensitive, versatile analytical methodology for the qualitative and quantitative analysis of lipid mediators. Here we present an LC/ESI-MS/MS assay for the simultaneous analysis of twenty mono- and poly-hydroxy-fatty acid derivatives of linoleic, arachidonic, eicosapentaenoic and docosahexaenoic acids. The assay was linear over the concentration range 1-100 pg/microL, whilst the limits of detection and quantitation were 10-20 and 20-50 pg, respectively. The recovery of the extraction methodology varied from 76-122% depending on the metabolite. This system is useful for profiling a range of biochemically related potent mediators including the newly discovered resolvins and protectins, and their precursor hydroxyeicosapentaenoic and hydroxydocosahexaenoic acids, and, consequently, advance our understanding of the role of PUFA in health and disease.     

基于超高效液相色谱-八端口转子阀的微升级预分级系统的建立

复杂生物系统蛋白质组的深度覆盖鉴定得益于近年来快速发展的高效色谱分离和串联质谱分析技术。二维高效液相色谱（2-D HPLC）是实现复杂肽混合物正交分离的有效手段，但其缺点是运行时间长，通常要求肽上样量在毫克级别，且收集时的组分体积大，后续合并流程复杂，而有望替代其的StageTip技术，则由于有限的色谱分离梯度，难以达到充分的正交分离。该文探索了超高效液相色谱（UPLC）和八端口转子阀联用，作为高效、便捷肽段预分离和收集系统的可行性。研究结果显示，将UPLC的高pH反相色谱分馏与在线LC-MS/MS相结合，可以实现高pH和低pH条件下基于肽段不同色谱保留行为的正交互补分离，在蛋白质鉴定方面表现出优越的性能。应用该方法对人肝癌细胞系HepG2进行3次技术重复试验，重复试验间具有非常高的定量重现性（决定系数R²>0.95）。与传统StageTip方法相比，肽段鉴定数提高了23.52%。该分级方法灵活、稳定，能够针对较少的样品开展蛋白质组深度覆盖分析。     

Evaluation of several two-dimensional gel electrophoresis techniques in cardiac proteomics

Two-dimensional gel electrophoresis (2-DE) is currently the best method for separating complex mixtures of proteins, and its use is gradually becoming more common in cardiac proteome analysis. A number of variations in basic 2-DE have emerged, but their usefulness in analyzing cardiac tissue has not been evaluated. The purpose of the present study was to systematically evaluate the capabilities and limitations of several 2-DE techniques for separating proteins from rat heart tissue. Immobilized pH gradient strips of various pH ranges, parameters of protein loading and staining, subcellular fractionation, and detection of phosphorylated proteins were studied. The results provide guidance for proteome analysis of cardiac and other tissues in terms of selection of the isoelectric point separating window for cardiac proteins, accurate quantitation of cardiac protein abundance, stabilization of technical variation, reduction of sample complexity, enrichment of low-abundant proteins, and detection of phosphorylated proteins.     

A fully automated 2-D LC-MS method utilizing online continuous pH and RP gradients for global proteome analysis

The conventional 2-D LC-MS/MS setup for global proteome analysis was based on online and offline salt gradients (step and continuous) using strong-cation-exchange chromatography in conjunction with RP chromatography and MS. The use of the online system with step salt elution had the possibility of resulting in peptide overlapping across fractions. The offline mode had the option to operate with continuous salt gradient to decrease peak overlap, but exhibited decreased robustness, lower reproducibility, and sample loss during the process. Due to the extensive washing requirement between the chromatography steps, online continuous gradient was not an option for salt elution. In this report, a fully automated, online, and continuous gradient (pH continuous online gradient, pCOG) 2-D LC-MS/MS system is introduced that provided excellent separation and identification power. The pH gradient-based elution provided more basic peptides than that of salt-based elution. Fraction overlap was significantly minimized by combining pH and continuous gradient elutions. This latter approach also increased sequence coverage and the concomitant confidence level in protein identification. The salt and pH elution-based 2-D LC-MS/MS approaches were compared by analyzing the mouse liver proteome.     

Establishment of “one-piece” large-gel 2-DE for high-resolution analysis of small amounts of sample using difference gel electrophoresis saturation labelling

Large-gel two-dimensional gel electrophoresis (2-DE) is the method of choice for high-resolution proteome analysis of complex protein mixtures. Until now, however, the advantages of large 2-DE in combination with multiplexed fluorescence dye protein labelling has been complicated by the separate handling and analysis of the second-dimension gels. Therefore, we adapted the large 2-DE procedure allowing us to run “one-piece” large 2-DE gels (40 cm × 30 cm) in the second dimension for high resolution proteome analysis. Here, we show that in combination with fluorescence dye protein saturation labelling “one-piece” large 2-DE enables analysis of small amounts of sample (3 μg protein) for high-resolution proteome analysis.     

Investigation of the “true” extraction recovery of analytes from multiple types of tissues and its impact on tissue bioanalysis using two model compounds

LC-MS/MS has been widely applied to the quantitative analysis of tissue samples. However, one key remaining issue is that the extraction recovery of analyte from spiked tissue calibration standard and quality control samples (QCs) may not accurately represent the “true” recovery of analyte from incurred tissue samples. This may affect the accuracy of LC-MS/MS tissue bioanalysis. Here, we investigated whether the recovery determined using tissue QCs by LC-MS/MS can accurately represent the “true” recovery from incurred tissue samples using two model compounds: BMS-986104, a S1P₁ receptor modulator drug candidate, and its phosphate metabolite, BMS-986104-P. We first developed a novel acid and surfactant assisted protein precipitation method for the extraction of BMS-986104 and BMS-986104-P from rat tissues, and determined their recoveries using tissue QCs by LC-MS/MS. We then used radioactive incurred samples from rats dosed with ³H-labeled BMS-986104 to determine the absolute total radioactivity recovery in six different tissues. The recoveries determined using tissue QCs and incurred samples matched with each other very well. The results demonstrated that, in this assay, tissue QCs accurately represented the incurred tissue samples to determine the “true” recovery, and LC-MS/MS assay was accurate for tissue bioanalysis. Another aspect we investigated is how the tissue QCs should be prepared to better represent the incurred tissue samples. We compared two different QC preparation methods (analyte spiked in tissue homogenates or in intact tissues) and demonstrated that the two methods had no significant difference when a good sample preparation was in place. The developed assay showed excellent accuracy and precision, and was successfully applied to the quantitative determination of BMS-986104 and BMS-986104-P in tissues in a rat toxicology study.