Comparison of different IMAC techniques used for enrichment of phosphorylated peptides.

Four commercially available immobilized metal ion affinity chromatography (IMAC) methods for phosphopeptide enrichment were compared using small volumes and concentrations of phosphopeptide mixtures with or without extra-added bovine serum albumin (BSA) nonphosphorylated peptides. Addition of abundant tryptic BSA peptides to the phosphopeptide mixture increases the demand for selective IMAC capture. While SwellGel gallium Discs, IPAC Metal Chelating Resin, and ZipTipMC Pipette Tips allow for the possibility of enriching phosphopeptides, the Gyrolab MALDI IMAC1 also presents the possibility of verifying existing phosphopeptides after a dephosphorylation step. Phosphate-containing peptides are identified through a mass shift between phosphorylated and dephosphorylated spectra of 80 Da (or multiples of 80 Da). This verification is useful if the degree of phosphorylation is low in the sample or if the ionization is unfavorable, which often is the case for phosphopeptides. A peptide mixture in which phosphorylated serine, threonine, and tyrosine were represented was diluted in steps and thereafter enriched using the four different IMAC methods prior to analyses with matrix assisted laser desorption/ionization mass spectrometry. The enrichment of phosphopeptides using SwellGel Gallium Discs or Gyrolab MALDI IMAC1 was not significantly affected by the addition of abundant BSA peptides added to the sample mixture, and the achieved detection limits using these techniques were also the lowest. All four of the included phosphopeptides were detected by MALDI-MS only after enrichment using the Gyrolab MALDI IMAC1 compact disc (CD) and detection down to low femtomole levels was possible. Furthermore, selectivity, reproducibility, and detection for a number of other phosphopeptides using the IMAC CD are reported herein. For example, two phosphopeptides sent out in a worldwide survey performed by the Proteomics Research Group (PRG03) of the Association of Biomolecular Resource Facilities (ABRF) were detected and verified by means of the 80 Da mass shift achieved by on-column dephosphorylation.     

Molecular classification of liver cirrhosis in a rat model by proteomics and bioinformatics

Liver cirrhosis is a worldwide health problem. Reliable, noninvasive methods for early detection of liver cirrhosis are not available. Using a three-step approach, we classified sera from rats with liver cirrhosis following different treatment insults. The approach consisted of: (i) protein profiling using surface-enhanced laser desorption/ionization (SELDI) technology; (ii) selection of a statistically significant serum biomarker set using machine learning algorithms; and (iii) identification of selected serum biomarkers by peptide sequencing. We generated serum protein profiles from three groups of rats: (i) normal (n=8), (ii) thioacetamide-induced liver cirrhosis (n=22), and (iii) bile duct ligation-induced liver fibrosis (n=5) using a weak cation exchanger surface. Profiling data were further analyzed by a recursive support vector machine algorithm to select a panel of statistically significant biomarkers for class prediction. Sensitivity and specificity of classification using the selected protein marker set were higher than 92%. A consistently down-regulated 3495 Da protein in cirrhosis samples was one of the selected significant biomarkers. This 3495 Da protein was purified on-chip and trypsin digested. Further structural characterization of this biomarkers candidate was done by using cross-platform matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) peptide mass fingerprinting (PMF) and matrix-assisted laser desorption/ionization time of flight/time of flight (MALDI-TOF/TOF) tandem mass spectrometry (MS/MS). Combined data from PMF and MS/MS spectra of two tryptic peptides suggested that this 3495 Da protein shared homology to a histidine-rich glycoprotein. These results demonstrated a novel approach to discovery of new biomarkers for early detection of liver cirrhosis and classification of liver diseases.     

Alternative profiling platform based on MELDI and its applicability in clinical proteomics

The presence of numerous proteomics data and their results in literature reveal the importance and influence of proteins and peptides on human cell cycle. For instance, the proteomic profiling of biological samples, such as serum, plasma or cells, and their organelles, carried out by surface-enhanced laser desorption/ionization mass spectrometry, has led to the discovery of numerous key proteins involved in many biological disease processes. However, questions still remain regarding the reproducibility, bioinformatic artifacts and cross-validations of such experimental set-ups. The authors have developed a material-based approach, termed material-enhanced laser desorption/ionization mass spectrometry (MELDI-MS), to facilitate and improve the robustness of large-scale proteomic experiments. MELDI-MS includes a fully automated protein-profiling platform, from sample preparation and analysis to data processing involving state-of-the-art methods, which can be further improved. Multiplexed protein pattern analysis, based on material morphology, physical characteristics and chemical functionalities provides a multitude of protein patterns and allows prostate cancer samples to be distinguished from non-prostate cancer samples. Furthermore, MELDI-MS enables not only the analysis of protein signatures, but also the identification of potential discriminating peaks via capillary liquid chromatography mass spectrometry. The optimized MELDI approach offers a complete proteomics platform with improved sensitivity, selectivity and short sample preparation times.     

Alternative profiling platform based on MELDI and its applicability in clinical proteomics

The presence of numerous proteomics data and their results in literature reveal the importance and influence of proteins and peptides on human cell cycle. For instance, the proteomic profiling of biological samples, such as serum, plasma or cells, and their organelles, carried out by surface-enhanced laser desorption/ionization mass spectrometry, has led to the discovery of numerous key proteins involved in many biological disease processes. However, questions still remain regarding the reproducibility, bioinformatic artifacts and cross-validations of such experimental set-ups. The authors have developed a material-based approach, termed material-enhanced laser desorption/ionization mass spectrometry (MELDI-MS), to facilitate and improve the robustness of large-scale proteomic experiments. MELDI-MS includes a fully automated protein-profiling platform, from sample preparation and analysis to data processing involving state-of-the-art methods, which can be further improved. Multiplexed protein pattern analysis, based on material morphology, physical characteristics and chemical functionalities provides a multitude of protein patterns and allows prostate cancer samples to be distinguished from non-prostate cancer samples. Furthermore, MELDI-MS enables not only the analysis of protein signatures, but also the identification of potential discriminating peaks via capillary liquid chromatography mass spectrometry. The optimized MELDI approach offers a complete proteomics platform with improved sensitivity, selectivity and short sample preparation times.     

Direct tandem mass spectrometry reveals limitations in protein profiling experiments for plasma biomarker discovery

The low molecular weight plasma proteome and its biological relevance are not well defined; therefore, experiments were conducted to directly sequence and identify peptides observed in plasma and serum protein profiles. Protein fractionation, matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) profiling, and liquid-chromatography coupled to MALDI tandem mass spectrometry (MS/MS) sequencing were used to analyze the low molecular weight proteome of heparinized plasma. Four fractionation techniques using functionally derivatized 96-well plates were used to extract peptides from plasma. Tandem TOF was successful for identifying peptides up to m/z 5500 with no prior knowledge of the sequence and was also used to verify the sequence assignments for larger ion signals. The peptides (n>250) sequenced in these profiles came from a surprisingly small number of proteins (n approximately 20), which were all common to plasma, including fibrinogen, complement components, antiproteases, and carrier proteins. The cleavage patterns were consistent with those of known plasma proteases, including initial cleavages by thrombin, plasmin and complement proteins, followed by aminopeptidase and carboxypeptidase activity. On the basis of these data, we discuss limitations in biomarker discovery in the low molecular weight plasma or serum proteome using crude fractionation coupled to MALDI-MS profiling.     

Infrared mass spectrometric imaging below the diffraction limit

Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS)1 is an established technique for the analysis of biological macromolecules. Its relative insensitivity to pollutants makes MALDI-MS very suitable for the direct analysis of biological samples. As such, it has facilitated great advances in the field of biomolecular imaging mass spectrometry. Traditionally, MALDI-MS imaging is performed in a scanning microprobe methodology.(2-4) However, in a recent study we have demonstrated an alternative methodology; the so-called microscope mode,(5) where the requirement for a highly focused ionization beam is removed. Spatial details from within the desorption area are conserved during the flight of the ions through the mass analyzer, and a magnified ion image is projected onto a 2D-detector. In this paper, we demonstrate how imaging mass spectrometry benefits from the microscope mode approach. For the first time, high-lateral resolution ion images were recorded using infrared MALDI at 2.94 microm wavelength. The ion optical resolution achieved was well below the theoretical limit of (light-) diffraction for the setup used, which is impossible to achieve in the conventional scanning microprobe approach.     

Identification of protein fragments as pattern features in MALDI-MS analyses of serum

The use of matrix-assisted laser desorption ionization mass spectrometry (MALDI-MS) to acquire spectral profiles has become a common approach to detect proteomic biomarkers of disease. MALDI-MS signals may represent both intact proteins as well as proteolysis products. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis can tentatively identify the corresponding proteins Here, we describe the application of a data analysis utility called FragMint, which combines MALDI-MS spectral data with LC-MS/MS based protein identifications to generate candidate protein fragments consistent with both types of data. This approach was used to identify protein fragments corresponding to spectral signals in MALDI-MS analyses of unfractionated human serum. The serum also was analyzed by one-dimensional SDS-PAGE and bands corresponding to the MALDI-MS signal masses were excised and subjected to in-gel digestion and LC-MS/MS analysis. Database searches mapped all of the identified peptides to abundant blood proteins larger than the observed MALDI-MS signals. FragMint identified fragments of these proteins that contained the MS/MS identified sequences and were consistent with the observed MALDI-MS signals. This approach should be generally applicable to identify protein species corresponding to MALDI-MS signals.     

Combined experimental and statistical strategy for mass spectrometry based serum protein profiling for diagnosis of breast cancer: a case-control study

Serum protein profiling by mass spectrometry is a promising method for early detection of cancer. We have implemented a combined strategy based on matrix-assisted laser desorption ionization mass spectrometry (MALDI MS) and statistical data analysis for serum protein profiling and applied it in a well-described breast cancer case-control study. A rigorous sample collection protocol ensured high quality specimen and reduced bias from preanalytical factors. Preoperative serum samples obtained from 48 breast cancer patients and 28 controls were used to generate MALDI MS protein profiles. A total of nine mass spectrometric protein profiles were obtained for each serum sample. A total of 533 common peaks were defined and represented a 'reference protein profile'. Among these 533 common peaks, we identified 72 peaks exhibiting statistically significant intensity differences ( p < 0.01) between cases and controls. A diagnostic rule based on these 72 mass values was constructed and exhibited a cross-validated sensitivity and specificity of approximately 85% for the detection of breast cancer. With this method, it was possible to distinguish early stage cancers from controls without major loss of sensitivity and specificity. We conclude that optimized serum sample handling and mass spectrometry data acquisition strategies in combination with statistical analysis provide a viable platform for serum protein profiling in cancer diagnosis.     

Mass spectrometric identification of serum peptides employing derivatized poly(glycidyl methacrylate/divinyl benzene) particles and mu-HPLC

Biomarkers play a key role in preclinical screening and diagnosis of a disease. Various support materials are utilized for this task, in combination with MALDI-TOF-MS. The way to effectively bind serum contents and their profiling is well-elaborated by the material-enhanced laser desorption ionization (MELDI) approach. In this particular work, focus is placed on the development of a strategy to identify low molecular weight serum peptides. Poly(GMA/DVB) is derivatized in a way to achieve an affinity termed as immobilized metal ion affinity chromatography (IMAC). Iminodiacetic acid (IDA) is used as a chelating ligand, whereas copper (Cu2+) acts as a metal ion for complexing peptides and proteins out of blood serum. Polymer binds the serum compounds over a broad mass range, which includes low mass peptides and high mass albumin (66 kDa). Bound contents are eluted from material by an acetonitrile/trifluoroacetic acid mixture, which proves the reversible nature of metal and amino acid linkage. Polystyrene/divinyl benzene (PS/DVB) monolithic capillary column is used for fractionation through RP-HPLC, prior to the target spotting. The tandem TOF fragment ion mass spectra of each fraction is acquired and used to search against the Swiss-Prot database, using the Mascot search engine for the identification of peptides.     

From proteomic multimarker profiling to interesting proteins: thymosin-β(4) and kininogen-1 as new potential biomarkers for inflammatory hepatic lesions

Despite tremendous efforts in disclosing the pathophysiological and epidemiological factors associated with liver fibrogenesis, non-invasive diagnostic measures to estimate the clinical outcome and progression of liver fibrogenesis are presently limited. Therefore, there is a mandatory need for methodologies allowing the reasonable and reliable assessment of the severity and/or progression of hepatic fibrogenesis. We here performed proteomic serum profiling by matrix-assisted laser desorption ionization time-of-flight mass spectrometry in 179 samples of patients chronically infected with hepatitis C virus and 195 control sera. Multidimensional analysis of spectra allowed the definition of algorithms capable to distinguish class-specific protein expression profiles in serum samples. Overall about 100 peaks could be detected per single spectrum. Different algorithms including protein peaks in the range of 2000 and 10,000 Da were generated after pre-fractionation on a weak cation exchange surface. A specificity of 93% with a sensitivity of 86% as mean of the test set results was found, respectively. The nature of three of these protein peaks that belonged to kininogen-1 and thymosin-β(4) was further analysed by tandem mass spectrometry (MS)/MS. We further found that kininogen-1 mRNA was significantly down-regulated in cirrhotic livers. We have identified kininogen-1 and thymosin-β(4) as potential new biomarkers for human chronic hepatitis C and conclude that serum profiling is a reliable technique to identify hepatitis-associated expression patterns. Based on the high throughput capability, the identified differential protein panel may serve as a diagnostic marker and warrants further validation in larger cohorts.     

Mass spectrometry imaging and profiling of single cells

Mass spectrometry imaging and profiling of individual cells and subcellular structures provide unique analytical capabilities for biological and biomedical research, including determination of the biochemical heterogeneity of cellular populations and intracellular localization of pharmaceuticals. Two mass spectrometry technologies-secondary ion mass spectrometry (SIMS) and matrix assisted laser desorption/ionization mass spectrometry (MALDI MS)-are most often used in micro-bioanalytical investigations. Recent advances in ion probe technologies have increased the dynamic range and sensitivity of analyte detection by SIMS, allowing two- and three-dimensional localization of analytes in a variety of cells. SIMS operating in the mass spectrometry imaging (MSI) mode can routinely reach spatial resolutions at the submicron level; therefore, it is frequently used in studies of the chemical composition of subcellular structures. MALDI MS offers a large mass range and high sensitivity of analyte detection. It has been successfully applied in a variety of single-cell and organelle profiling studies. Innovative instrumentation such as scanning microprobe MALDI and mass microscope spectrometers enables new subcellular MSI measurements. Other approaches for MS-based chemical imaging and profiling include those based on near-field laser ablation and inductively-coupled plasma MS analysis, which offer complementary capabilities for subcellular chemical imaging and profiling.     

Enrichment of low-molecular-weight proteins from biofluids for biomarker discovery

The dramatic progress in mass spectrometry-based methods of protein identification has triggered a new quest for disease-associated biomarkers. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and its variant surface-enhanced laser desorption/ionization mass spectrometry, provide effective means to explore the less studied information slice of the human serum proteome -- low-molecular-weight proteins and peptides. These low-molecular-weight proteins and peptides are promising for the detection of important biomarkers. Due to the significant experimental problems imposed by high-abundance and high-molecular-weight proteins, it is important to effectively remove these species prior to mass spectrometry analysis of the low-molecular-weight serum and plasma proteomes. In this review, the advantages afforded by recently introduced methods for prefractionation of serum, as they pertain to the detection and identification of biomarkers, will be discussed.     

Enrichment of low-molecular-weight proteins from biofluids for biomarker discovery

The dramatic progress in mass spectrometry-based methods of protein identification has triggered a new quest for disease-associated biomarkers. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and its variant surface-enhanced laser desorption/ionization mass spectrometry, provide effective means to explore the less studied information slice of the human serum proteome – low-molecular-weight proteins and peptides. These low-molecular-weight proteins and peptides are promising for the detection of important biomarkers. Due to the significant experimental problems imposed by high-abundance and high-molecular-weight proteins, it is important to effectively remove these species prior to mass spectrometry analysis of the low-molecular-weight serum and plasma proteomes. In this review, the advantages afforded by recently introduced methods for prefractionation of serum, as they pertain to the detection and identification of biomarkers, will be discussed.     

Protein profiling by the combination of two independent mass spectrometry techniques

Protein profiling in the high-throughput mode is a most useful technique that allows formation of reference databases for cells and tissues and performance of comparative proteomics. In the proposed protocol protein extraction from tissues is followed by 2D gel electrophoresis (2DE) with subsequent in-gel digestion and identification of soluble proteins by two individual mass spectrometric techniques, tandem matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and nano-liquid chromatography (nano-LC)-MS/MS. The proposed combined use of these two MS approaches leads to a very high identification rate of well-separated protein spots from a gel. In the first step 2DE separates high-abundance proteins (those visualized by nonsensitive Coomassie blue staining) that are subsequently picked, digested and aliquoted for MS applications. Protein samples not identified by MALDI-MS or MS/MS (77% of all spots) are finally unambiguously identified by nano-LC-MS/MS (total identification rate 94%). This protocol can be completed in 6 weeks.     

Differential polypeptide display: the search for the elusive target

Proteomics, as a tool to identify proteins in biological samples, is gaining rapidly importance in the postgenomic era. Here we discuss the current and potential role of different techniques in the field of proteomics such as two-dimensional gel electrophoresis off-line coupled to MALDI-MS (2D-PAGE-MALDI-MS), high performance liquid chromatography mass spectrometry (HPLC-MS), surface enhanced laser desorption/ionization mass spectrometry (SELDI-MS) and a newly developed technique, capillary electrophoresis mass spectrometry (CE-MS). The developments of the last years are presented discussed.     

评估SELDI-TOF-MS技术检测肾移植术后病人尿液的能力

目的:研究表面增强激光解吸电离飞行时间质谱(SELDI-TOF-MS)技术检测肾移植术后病人尿液中蛋白质的能力。方法:根据尿液标本中蛋白质浓度进行稀释处理,采用SELDI-TOF-MS技术,用3种不同芯片(NP20、CM10、IMAC30)与蛋白质浓度的不同组合分别检测肾移植术后病人的尿液。结果:采用NP20/蛋白质未稀释、CM10/蛋白质浓度约0.1g/L、IMAC30/蛋白质浓度约2g/L时,质谱图中蛋白质峰的个数和丰度达到最佳;单一芯片中NP20捕获质荷比为5000～20000的蛋白质能力最佳,而CM10和IMAC30在质荷比为2000～5000时有较大的捕获能力;3种芯片中CM10具有最大的捕获蛋白质的能力。结论:3种芯片检测尿液中蛋白质的能力不同;为了更好地发现疾病特异性标志物,最好多种芯片同时检测,且在各种芯片得到最佳质谱图时的浓度进行检测。     

Nanoliter sample handling combined with microspot MALDI-MS for detection of gel-separated phosphoproteins

We describe a microspot matrix-assisted laser desorption ionization (MALDI) mass spectrometric approach to analyze gel-separated phosphoproteins. This method involves in-gel digestion of phosphoproteins after gel separation, followed by open tubular capillary (OTC) immobilized metal-ion affinity chromatography (IMAC) to capture the phosphopeptides with markedly reduced interferences from nonphosphorylated peptides. Nanoliter-volume of ammonium phosphate is used to elute the phosphopeptides captured on the capillary tube. After mixing with a small volume of matrix solution in the capillary, the effluent is deposited in a microspot on a sample plate for MALDI-MS analysis. It is also shown that, with peptide esterification after in-gel digestion of a phosphoprotein, negative ion detection in MALDI gives a distinct advantage over the positive ion mode of operation for phosphopeptide analysis, even without IMAC enrichment. However, the OTC-IMAC technique is demonstrated to be superior to the approach of negative ion detection of esterified in-gel digests without IMAC. OTC-IMAC is found to be sufficiently selective to capture phosphopeptides from in-gel digest of a gel band containing predominately one protein and the combination of peptide esterification and IMAC enrichment does not provide any real advantage. Using a standard phosphoprotein alpha-casein as a model system, we demonstrate that this OTC-IMAC method can detect a number of phosphopeptides after in-gel digestion with mid-fmol protein sample loading. An example of real world applications of this method is illustrated in the characterization of a fusion protein, His182, expressed in E. coli.     

Laser desorption/ionization—Mass spectrometry using mesoporous silicate as matrix for the analysis of various molecules

In this study, mesoporous silicate was applied as a matrix for the analysis of various molecules from small molecules to medium sized peptides in laser desorption/ionization mass spectrometry. In contrast with conventional matrix assisted laser desorption/ionization mass spectrometry (MALDI-MS), the proposed approach desorption/ionization on mesoporous silicate mass spectrometry (DIOM-MS), significantly reduces the problem of matrix interference in low mass region and can be applied to the analysis of versatile chemicals including amino acids, synthetic drugs, peptides and others. In addition, distinctive advantage of DIOM-MS showed higher salt tolerance and could be applied to identify the proteins from the analysis of tryptically digested peptides. DIOM-MS has several availabilities such as easy sample preparation, rapid analysis of small molecules without noise, peptide analysis without organic matrix, high salt tolerance, versatile coupling with other separation techniques, and high throughput manner.     

Derivatized graphitic nanofibres (GNF) as a new support material for mass spectrometric analysis of peptides and proteins

Graphitic nanofibres (GNFs), 100–200 nm in diameter and 5–20 μm in length have been modified in order to yield different affinities (Cu²⁺ and Fe³⁺ loaded immobilized metal affinity chromatography (IMAC) as well as cation and anion exchange materials) for the extraction of a range of biomolecules by their inherited hydrophobicity and the hydrophilic chemical functionalities, obtained by derivatization. Modified GNFs have for the first time been employed as carrier materials for protein profiling in material-enhanced laser desorption/ionization (MELDI) for the enrichment and screening of biofluids. For that purpose, the derivatized GNF materials have comprehensively been characterized regarding surface area, structural changes during derivatization, IMAC, as well as ion exchange and protein-loading capacity and recovery. GNF derivatives revealed high protein-binding capacity (2,000 μg ml⁻¹ for insulin) and ideal sensitivities, resulting in a detection limit of 50 fmol μl⁻¹ (for insulin), which is crucial for the detection of low abundant species in biological samples. Compared to other MELDI carrier materials, sensitivity was enhanced on GNF derivatives, which might be ascribed to the fact that GNFs support desorption and ionization mechanisms and by absorbing laser energy in addition to matrix.     

Identification of serum proteomic biomarkers for early porcine reproductive and respiratory syndrome (PRRS) infection

ABSTRACT: BACKGROUND: Porcine reproductive and respiratory syndrome (PRRS) is one of the most significant swine diseases worldwide. Despite its relevance, serum biomarkers associated with early-onset viral infection, when clinical signs are not detectable and the disease is characterized by a weak anti-viral response and persistent infection, have not yet been identified. Surface-enhanced laser desorption ionization time of flight mass spectrometry (SELDI-TOF MS) is a reproducible, accurate, and simple method for the identification of biomarker proteins related to disease in serum. This work describes the SELDI-TOF MS analyses of sera of 60 PRRSV-positive and 60 PRRSV-negative, as measured by PCR, asymptomatic Large White piglets at weaning. Sera with comparable and low content of hemoglobin (< 4.52 ug/mL) were fractionated in 6 different fractions by anion-exchange chromatography and protein profiles in the mass range 1-200 kDa were obtained with the CM10, IMAC30, and H50 surfaces. RESULTS: A total of 200 significant peaks (p < 0.05) were identified in the initial discovery phase of the study and 47 of them were confirmed in the validation phase. The majority of peaks (42) were up-regulated in PRRSV-positive piglets, while 5 were down-regulated. A panel of 14 discriminatory peaks identified in fraction 1 (pH=9), on the surface CM10, and acquired at low focus mass provided a serum protein profile diagnostic pattern that enabled to discriminate between PRRSV-positive and -negative piglets with a sensitivity and specificity of 77% and 73%, respectively. CONCLUSIONS: SELDI-TOF MS profiling of sera from PRRSV-positive and PRRSV-negative asymptomatic piglets provided a proteomic signature with large scale diagnostic potential for early identification of PRRSV infection in weaning piglets. Furthermore, SELDI-TOF protein markers represent a refined phenotype of PRRSV infection that might be useful for whole genome association studies.