Targeted proteomics of low-level proteins in human plasma by LC/MSn: using human growth hormone as a model system

Analysis of organelles by on-line two-dimensional liquid chromatography-tandem mass spectrometry

The sequencing of the genomes of many different species has greatly helped our understanding of organelles. This information has driven the development of mass spectrometry (MS)-based methods for large-scale analysis of proteins. One of these methods uses two-dimensional liquid chromatography (2DLC) coupled on-line to tandem MS and is described here. In this method, proteins are first proteolytically digested, and then the peptides are separated in two dimensions. Typically, separation in the first dimension is based on charge interactions with a strong cation exchange (SCX) resin, whereas separation in the second dimension is based on hydrophobic interactions with a reversed-phase (RP) support. Peptides are eluted from the SCX resin using increasing concentrations of a salt and subsequently trapped on the RP resin. Next, the salt is washed from the system, and the peptides are eluted using an increasing gradient of a non-polar organic solvent. Eluting peptides are mass analyzed and fragmented to generate tandem mass spectra. These tandem mass spectra can be used to search sequence databases to identify peptides by matching amino-acid sequences to each spectrum.

Proteomics of viruses

Proteomics is a promising approach for the study of viruses allowing a better understanding of disease processes and the development of new biomarkers for diagnosis and early detection of disease, thus accelerating drug development. Viral proteomics has included the analysis of viral particles to determine all proteins that compose the infectious virus, the examination of cellular proteins associated with a single viral protein in the hopes of determining all the functions of that viral protein, or the determination of cellular proteins induced or altered during a particular disease state. Viral particles of human cytomegalovirus (HCMV) and Kaposi's sarcoma-associated herpesvirus/human herpesvirus 8 (KSHV/HHV-8) have been recently examined. During the herpesviral replicative cycle, different viral particles are formed. For HCMV, this includes mature, infectious virions, noninfectious enveloped particles, and dense bodies. A proteome database of B-lymphoblastoid cell lines (LCLs), before and after transformation, has been developed to identify the cellular mechanisms of virus-induced immortalization. 2DE is used to first separate proteins based on their relative charge (pI) and then based on their molecular weight. Proteomic analysis has provided a unique tool for the identification of diagnostic biomarkers, evaluation of disease progression, and drug development. It is also an important approach for clinical diagnostics.

A multiple reaction monitoring method for absolute quantification of the human liver alcohol dehydrogenase ADH1C1 isoenzyme

Although significant progress has been made in protein quantification using mass spectrometry during recent years, absolute protein quantification in complex biological systems remains a challenging task in proteomics. The use of stable isotope-labeled standard peptide is the most commonly used strategy for absolute quantification, but it might not be suitable in all instances. Here we report an alternative strategy that employs a stable isotope-labeled intact protein as an internal standard to absolutely quantify the alcohol dehydrogenase (ADH) expression level in a human liver sample. In combination with a new targeted proteomics approach employing the method of multiple reaction monitoring (MRM), we precisely and quantitatively measured the absolute protein expression level of an ADH isoenzyme, ADH1C1, in human liver. Isotope-labeled protein standards are predicted to be particularly useful for measurement of highly homologous isoenzymes such as ADHs where multiple signature peptides can be examined by MRM in a single experiment.

Myelin basic protein as a binding partner and calmodulin adaptor for the BKCa channel

The activity and localization of large-conductance Ca2+ -activated K+ (BKCa) channels are known to be modulated by several different proteins. Although many binding partners have been identified via yeast two-hybrid screening, this method may not detect certain classes of interacting proteins such as low affinity binding proteins or multi-component protein complexes. In this study, we employed mass spectrometry to identify proteins that interact with BKCa channels. We expressed and purified the 'tail domain' of the rat BKCa channel alpha-subunit, a 54-kDa region that is crucial for expression and functional activity of the channel. Using rat brain lysate and purified 'tail domain', we identified several novel proteins that interact with the BKCa channel. These included the myelin basic protein (MBP), upon which we performed subsequent biochemical and electrophysiological studies. Interaction between the BKCa channel and MBP was confirmed in vivo and in vitro. MBP co-expression affected the Ca2+ -dependent activation of the BKCa channel by increasing its Ca2+ sensitivity. Moreover, we showed that calmodulin (CaM) interacts with the BKCa channel via MBP. Since CaM is a key regulator of many Ca2+ -dependent processes, it may be recruited by MBP to the vicinity of the BKCa channel, modulating its functional activity.

Global proteome profiling of NPM/ALK-positive anaplastic large cell lymphoma

OBJECTIVE

Constitutive overexpression of nucleophosmin/anaplastic lymphoma kinase (NPM/ALK) is a key oncogenic event in anaplastic large cell lymphomas (ALCL) that carry the t(2;5)(p23;q35) translocation. Global proteomic analysis of NPM/ALK-positive ALCL would improve understanding of the disease pathogenesis and yield new candidate targets for novel treatment and diagnostic strategies.

MATERIALS AND METHODS

To comprehensively determine the inventory of proteins from NPM/ALK-positive ALCL SUDHL-1 cells, the membrane, cytoplasm, and nuclear subcellular fractions were resolved by one-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) and analyzed using liquid chromatography-tandem mass spectrometry (LC-MS/MS). The MS spectra were interpreted using SEQUEST to search the electronic UniProt protein database, and analyzed by ProteinProphet and INTERACT.

RESULTS

A total of 623 proteins consisting of 210 membrane, 229 cytoplasm, and 184 nuclear proteins were identified with a <or=5% error rate. Extensive annotation and systematic examination of the literature for information on 209 representative proteins indicated that 19.9% were reported to be expressed in T cells and 44.7% were reported to have important function in cancers, while only 4.3% were reported to be involved in ALCL pathogenesis. Categorization of proteins into functional groups was performed using GOMiner. A subset of the identified proteins was confirmed by Western blots and immunohistochemistry of tissue samples.

CONCLUSION

We present an extensive catalog of proteins expressed by NPM/ALK-positive ALCL. This study illustrates the potential for novel pathogenetic discovery in NPM/ALK-positive ALCL and the utility of combining cellular subfractionation, 1D SDS-PAGE, and LC-MS/MS for the comprehensive protein analysis of lymphoma.

Biomarker discovery: a proteomic approach for brain cancer profiling

Gliomas in the form of astrocytomas, anaplastic astrocytomas and glioblastomas are the most common brain tumors in humans. Early detection of these cancers is crucial for successful treatment. Proteomics promises the discovery of biomarkers and tumor markers for early detection and diagnosis. In the current study, a differential gel electrophoresis technology coupled with matrix-assisted laser desorption/ionization-time of flight and liquid chromatography-tandem mass spectroscopy was used to investigate tumor-specific changes in the proteome of human brain cancer. Fifty human brain tissues comprising varying diagnostic groups (non-tumor, grade I, grade II, grade III and grade IV) were run in duplicate together with an internal pool sample on each gel. The proteins of interest were automatically picked, in-gel digested and mass spectrometry fingerprinted. Two hundred and eleven protein spots were identified successfully and were collapsed into 91 unique proteins. Approximately 20 of those 91 unique proteins had, to our knowledge, not been reported previously as differentially expressed in human brain cancer. Alb protein, peroxiredoxin 4 and SH3 domain-binding glutamic acid-rich-like protein 3 were upregulated in glioblastoma multiform versus non-tumor tissues. However, aldolase C fructose-biphosphate, creatine kinase, B chain dihydrolipoyl dehydrogenase, enolase 2, fumarate hydratase, HSP60, lactoylglutathione lyase, lucine aminopeptidase, Mu-crystallin homolog, NADH-UO 24, neurofilament triplet L protein, septin 2, stathmin and vacuolar ATP synthase subunit E were downregulated in glioblastoma multiform compared with non-tumor tissues. These differentially expressed proteins provided novel information on the differences existing between normal brain and gliomas, and thus might prove to be useful molecular indicators of diagnostic or prognostic value.

Antibody-based enrichment of peptides on magnetic beads for mass-spectrometry-based quantification of serum biomarkers

A major bottleneck for validation of new clinical diagnostics is the development of highly sensitive and specific assays for quantifying proteins. We previously described a method, stable isotope standards with capture by antipeptide antibodies, wherein a specific tryptic peptide is selected as a stoichiometric representative of the protein from which it is cleaved, is enriched from biological samples using immobilized antibodies, and is quantitated using mass spectrometry against a spiked internal standard to yield a measure of protein concentration. In this study, we optimized a magnetic-bead-based platform amenable to high-throughput peptide capture and demonstrated that antibody capture followed by mass spectrometry can achieve ion signal enhancements on the order of 10(3), with precision (CVs <10%) and accuracy (relative error approximately 20%) sufficient for quantifying biomarkers in the physiologically relevant ng/mL range. These methods are generally applicable to any protein or biological fluid of interest and hold great potential for providing a desperately needed bridging technology between biomarker discovery and clinical application.

Protein biomarker discovery and validation: the long and uncertain path to clinical utility

Better biomarkers are urgently needed to improve diagnosis, guide molecularly targeted therapy and monitor activity and therapeutic response across a wide spectrum of disease. Proteomics methods based on mass spectrometry hold special promise for the discovery of novel biomarkers that might form the foundation for new clinical blood tests, but to date their contribution to the diagnostic armamentarium has been disappointing. This is due in part to the lack of a coherent pipeline connecting marker discovery with well-established methods for validation. Advances in methods and technology now enable construction of a comprehensive biomarker pipeline from six essential process components: candidate discovery, qualification, verification, research assay optimization, biomarker validation and commercialization. Better understanding of the overall process of biomarker discovery and validation and of the challenges and strategies inherent in each phase should improve experimental study design, in turn increasing the efficiency of biomarker development and facilitating the delivery and deployment of novel clinical tests.

Multilectin Affinity Chromatography for Characterization of Multiple Glycoprotein Biomarker Candidates in Serum from Breast Cancer Patients

Background: Glycoproteins are often associated with cancer and are important in serum studies, for which glycosylation is a common posttranslational modification.

Methods: We used multilectin affinity chromatography (M-LAC) to isolate glycoproteins from the sera of breast cancer patients and controls. The proteins were identified by HPLC–tandem mass spectrometry (MS/MS) analysis of the corresponding tryptic digests. We used the FuncAssociate Gene Ontology program for association analysis of the identified proteins. Biomarker candidates in these groups were comparatively quantitated by use of peak area measurements, with inclusion of an internal standard. We analyzed data for concordance within the ontology association groups for vector of change with the development of breast cancer.

Results: Detection of the known low-concentration biomarker HER-2 (8–24 μg/L) enabled us to establish a dynamic range of 106, relative to the amount of albumin, for the depletion step. We then used ELISA to confirm this range. Proteins associated with lipid transport and metabolism, cell growth and maintenance, ion homeostasis, and protease inhibition were found to be differentially regulated in serum from women with breast cancer compared with serum from women without breast cancer.

Conclusions: M-LAC for isolation of the serum glycoproteome, coupled with liquid chromatography–MS/MS and the use of gene ontology associations, can be used to characterize large panels of candidate markers, which can then be evaluated in a particular patient population.

Identification of proteins released by follicular lymphoma-derived cells using a mass spectrometry-based approach

The recent advent of mass spectrometry-based methodologies for the analysis of complex protein mixtures opens new opportunities for the discovery of biomarkers that may aid in the diagnostic work-up of cancer. Follicular lymphoma (FL) is the most common form of low-grade non-Hodgkin lymphoma in the Western Hemisphere. Identification of tumor markers that facilitate early disease detection would be a significant advance in the management of FL. We have employed a strategy that entailed propagation of a follicular-derived cell line in serum-free media, protein extraction, and reverse-phase liquid chromatography, with subsequent electrospray ionization and tandem mass spectrometry analysis for the identification of proteins that are released by FL. Using a two-peptide minimum per protein and standard criteria, 209 proteins (5.6% maximum predicted error rate) released from the FL cells were identified. The released proteins included several growth factors, cytokines, acute phase reactants and cellular components previously known to be present in FL cells. Importantly, a greater proportion of proteins previously unassociated with FL were identified with high statistical confidence. Our studies provide a list of proteins, which may be candidates for early screening, diagnosis and therapeutic monitoring of patients with a suspected or biopsy-confirmed diagnosis of FL.

1-DE MS and 2-D LC-MS analysis of the mouse bronchoalveolar lavage proteome

Bronchoalveolar lavage fluid (BALF) is a complex mixture of proteins, which represents a unique clinically useful sampling of the lower respiratory tract. Many proteomic technologies can be used to characterize complex biological mixtures; however, it is not yet clear which technology(s) provide more information regarding the number of proteins identified and sequence coverage. In this study, we initially compared two common proteomic approaches, 2-D LC microESI MS/MS and 1-DE followed by gel slice digestion, peptide extraction and peptide identification by MS in characterization of the mouse BALF proteome; secondly, we identified 297 unique proteins from the mouse BALF proteome, greatly expanded the BALF proteome by about threefold regardless of species.

Quantitative mass spectrometric multiple reaction monitoring assays for major plasma proteins

Quantitative LC-MS/MS assays were designed for tryptic peptides representing 53 high and medium abundance proteins in human plasma using a multiplexed multiple reaction monitoring (MRM) approach. Of these, 47 produced acceptable quantitative data, demonstrating within-run coefficients of variation (CVs) (n = 10) of 2-22% (78% of assays had CV <10%). A number of peptides gave CVs in the range 2-7% in five experiments (10 replicate runs each) continuously measuring 137 MRMs, demonstrating the precision achievable in complex digests. Depletion of six high abundance proteins by immunosubtraction significantly improved CVs compared with whole plasma, but analytes could be detected in both sample types. Replicate digest and depletion/digest runs yielded correlation coefficients (R(2)) of 0.995 and 0.989, respectively. Absolute analyte specificity for each peptide was demonstrated using MRM-triggered MS/MS scans. Reliable detection of L-selectin (measured at 0.67 microg/ml) indicates that proteins down to the microg/ml level can be quantitated in plasma with minimal sample preparation, yielding a dynamic range of 4.5 orders of magnitude in a single experiment. Peptide MRM measurements in plasma digests thus provide a rapid and specific assay platform for biomarker validation, one that can be extended to lower abundance proteins by enrichment of specific target peptides (stable isotope standards and capture by anti-peptide antibodies (SISCAPA)).

A proteomic study of the HUPO Plasma Proteome Project's pilot samples using an accurate mass and time tag strategy

Characterization of the human blood plasma proteome is critical to the discovery of routinely useful clinical biomarkers. We used an accurate mass and time (AMT) tag strategy with high-resolution mass accuracy cLC-FT-ICR MS to perform a global proteomic analysis of pilot study samples as part of the HUPO Plasma Proteome Project. HUPO reference serum and citrated plasma samples from African Americans, Asian Americans, and Caucasian Americans were analyzed, in addition to a Pacific Northwest National Laboratory reference serum and plasma. The AMT tag strategy allowed us to leverage two previously published "shotgun" proteomics experiments to perform global analyses on these samples in triplicate in less than 4 days total analysis time. A total of 722 (22% with multiple peptide identifications) International Protein Index redundant proteins, or 377 protein families by ProteinProphet, were identified over the six individual HUPO serum and plasma samples. The samples yielded a similar number of identified redundant proteins in the plasma samples (average 446 +/- 23) as found in the serum samples (average 440 +/- 20). These proteins were identified by an average of 956 +/- 35 unique peptides in plasma and 930 +/- 11 unique peptides in serum. In addition to this high-throughput analysis, the AMT tag approach was used with a Z-score normalization to compare relative protein abundances. This analysis highlighted both known differences in serum and citrated plasma such as fibrinogens, and reproducible differences in peptide abundances from proteins such as soluble activin receptor-like kinase 7b and glycoprotein m6b. The AMT tag strategy not only improved our sample throughput but also provided a basis for estimated quantitation.

Two-dimensional liquid chromatography/tandem mass spectrometry analysis of Gradiflow fractionated native human plasma

One of the major challenges facing protein analysis is the dynamic range of protein expression within massively complex samples (Corthals, G. L. et al.., Electrophoresis 2000, 21, 1104-1115). In plasma this difference is as great as ten orders of magnitude, and this is currently beyond the range of detection achievable by any of the analytical techniques. Plasma has the additional challenge of having a few highly abundant proteins, such as albumin, which mask the detection of lower abundance and biologically significant proteins. The use of the Gradiflow BF400 as a fractionation tool to deplete highly abundant albumin from human plasma is reported here. A sequential three-step protocol was performed on five plasma samples as part of the International Plasma Proteome Project organised by the HUPO; four containing different anticoagulants: EDTA, citrate, heparin and a control sample (NIBSC); and a serum sample. Plasma from an alternate source also underwent fractionation and served as an in-house control. Time modulation between 1 and 7 h was observed for the depletion of albumin from these samples. Following albumin depletion, each fraction was trypsin-digested and the peptides were fractionated further using a 2-D LC-MS/MS. Differences in the total number of proteins identified for each sample were also noted.

Utility of electrophoretically derived protein mass estimates as additional constraints in proteome analysis of human serum based on MS/MS analysis

The proteome of a HUPO human serum reference sample was analyzed using multidimensional separation techniques at both the protein and the peptide levels. To eliminate false-positive identifications from the search results, we employed a data filtering method using molecular weight (MW) correlations derived from denaturing 1-DE. First, the six most abundant serum proteins were removed from the sample using immunoaffinity chromatography. 1-DE was then used to fractionate the remaining serum proteins according to the MW. Gel bands were isolated and in-gel digested with trypsin, and the resulting peptides were analyzed by 2-D LC/ESI-MS/MS. A SEQUEST search using the MS/MS results identified 494 proteins. Of these, 202 were excluded formally using protein data filtering as they were single-assignment proteins and their theoretical and electrophoretically-derived MWs did not correlate at high confidence. To evaluate this method, the results were compared with those of 1-D LC/MALDI-TOF/TOF and HUPO Plasma Proteome Project analyses. Our data filtering approach proved valuable in analysis of complex, large-scale proteomes such as human serum.

Comparison of alternative analytical techniques for the characterisation of the human serum proteome in HUPO Plasma Proteome Project

Based on the same HUPO reference specimen (C1-serum) with the six proteins of highest abundance depleted by immunoaffinity chromatography, we have compared five proteomics approaches, which were (1) intact protein fractionation by anion-exchange chromatography followed by 2-DE-MALDI-TOF-MS/MS for protein identification (2-DE strategy); (2) intact protein fractionation by 2-D HPLC followed by tryptic digestion of each fraction and microcapillary RP-HPLC/microESI-MS/MS identification (protein 2-D HPLC fractionation strategy); (3) protein digestion followed by automated online microcapillary 2-D HPLC (strong cation-exchange chromatography (SCX)-RPC) with IT microESI-MS/MS; (online shotgun strategy); (4) same as (3) with the SCX step performed offline (offline shotgun strategy) and (5) same as (4) with the SCX fractions reanalysed by optimised nanoRP-HPLC-nanoESI-MS/MS (offline shotgun-nanospray strategy). All five approaches yielded complementary sets of protein identifications. The total number of unique proteins identified by each of these five approaches was (1) 78, (2) 179, (3) 131, (4) 224 and (5) 330 respectively. In all, 560 unique proteins were identified. One hundred and sixty-five proteins were identified through two or more peptides, which could be considered a high-confidence identification. Only 37 proteins were identified by all five approaches. The 2-DE approach yielded more information on the pI-altered isoforms of some serum proteins and the relative abundance of identified proteins. The protein prefractionation strategy slightly improved the capacity to detect proteins of lower abundance. Optimising the separation at the peptide level and improving the detection sensitivity of ESI-MS/MS were more effective than fractionation of intact proteins in increasing the total number of proteins identified. Overall, electrophoresis and chromatography, coupled respectively with MALDI-TOF/TOF-MS and ESI-MS/MS, identified complementary sets of serum proteins.

Monitoring glycosylation pattern changes of glycoproteins using multi-lectin affinity chromatography

Previously, we reported that the distribution of glycoproteins into the lectin displacement fractions of a multi-lectin affinity column was determined by the glycosylation patterns of the proteins. This distribution was observed by the sequential use of displacers specific to the lectins in the column. In this study we have evaluated the multi-lectin column (containing Concanavalin A, Wheat germ agglutinin and Jacalin lectin) to screen glycoproteins with known glycosylation pattern changes. The presence of a glycoprotein in a given displacer fraction was determined by LC-MS/MS analysis of a tryptic digest. We have used the enzyme neuraminidase to modify the oligosaccharide chains present in human transferrin, and used the enzymes, neuraminidase and fucosidase, to modify glycoproteins present in human serum. Then, by comparison with the untreated samples, we demonstrated a distribution shift of the enzyme-treated serum glycoproteins in the displacement fractions isolated from the multi-lectin column. The fractions were analyzed by a protein assay, Sequest rank comparison and peak area measurement from the extracted ion chromatogram. The results indicated that the multi-lectin affinity column (M-LAC) is sensitive to changes in the content of sialic acid and fucosyl residues present in serum glycoproteins, and has the potential to be used to screen serum proteins for glycosylation changes due to disease. In addition, the use of a glycosidase to induce specific structural changes in glycoproteins can support the development of multi-lectin column formats specific for detecting changes in the glycoproteome of certain diagnostic fluids and types of disease.

Mass spectrometry in aging research

This review covers the application of mass spectrometric techniques to aging research. Modern proteomic strategies will be discussed as well as the targeted analysis of specific proteins for the correlation of post-translational modifications with protein function. Selected examples will show both the power and also current limitations of the respective techniques. Experimental results and strategies are discussed in view of current theories of the aging process.

A study of glycoproteins in human serum and plasma reference standards (HUPO) using multilectin affinity chromatography coupled with RPLC-MS/MS

The glycoproteome is a major subproteome present in human plasma. In this study, we isolated and characterized approximately 150 glycoproteins from the human plasma and serum samples provided by HUPO using a multilectin affinity column. The corresponding tryptic digest was separated by RP-HPLC coupled to an IT mass spectrometer (3-D LCQ). Also in this study, a new system, namely an Ettan MDLC system coupled to a linear ITLTQ, was compared with the previous LCQ platform and gave a greater number of protein identifications, as well as better quality. When we compared the composition of the glycoproteomes for the plasma and serum samples there was a close correlation between the samples, except for the absence of fibrinogen from the identified-protein list in the latter sample, which was presumably as a result of the clotting process. In addition, the analysis of the samples from three ethnic specimens, Caucasian American, Asian American, and African American, were very similar but showed a higher angiotensinogen plasma level and a lower histidine-rich glycoprotein level in Caucasian American samples, and a lower vitronectin level in African American blood samples.

Proteomic analysis of human pleural effusion

Pleural effusion, an accumulation of pleural fluid, contains proteins originating from plasma filtrate and, especially when tissues are damaged, parenchymal interstitial spaces of lungs and/or other organs. This report presents data of the first global proteomic analysis of human pleural effusion. A composite sample was prepared by pooling pleural effusions from seven lung adenocarcinoma patients. Two-dimensional gel electrophoresis analysis of the composite sample revealed 472 silver-stained spots. 242 selected gel spots were subjected to protein identification by in-gel digestion, liquid chromatography-tandem mass spectrometry, and sequence database search. 44 proteins were identified with higher confidence levels (at least two unique peptide sequences matched), while 161 other proteins were identified at the minimal confidence level (only one unique peptide sequence matched). The data provide fundamental information on the composition of protein contents in human pleural effusion. Among these 44 proteins that were identified with higher confidence levels, 7 proteins, retinoblastoma binding protein 7, synaptic vesicle membrane protein, corticosteroid binding globulin precursor, PR-domain containing protein 11, envelope glycoprotein, MSIP043 protein, and titin have not been reported in plasma and may represent proteins specifically present in pleural effusion. These proteins could have originated from parenchymal interstitial spaces and represent potential candidates of useful biomarkers that could not be readily detected in plasma but in pleural effusion. Retinoblastoma binding protein 7 is of special interest since it may play a role in the regulation of cell proliferation and differentiation.

Proteome-wide analysis of head and neck squamous cell carcinomas using laser-capture microdissection and tandem mass spectrometry

Remarkable progress has been made to identify genes expressed in squamous cell carcinomas of the head and neck (HNSCC). However, limited information is available on their corresponding protein products, whose expression, post-translational modifications, and activity are ultimately responsible for the malignant behavior of this tumor type. We have combined laser-capture microdissection (LCM) with liquid chromatography-tandem mass spectrometry (LC-MS/MS) to identify proteins expressed in histologically normal squamous epithelium and matching SCC. The protein fraction from approximately 10,000-15,000 normal and tumor cells was solubilized, digested with trypsin, and the resulting peptides were analyzed by LC-MS/MS. Database searching of the resulting sequence information identified 30-55 proteins per sample. Keratins were the most abundant proteins in both normal and tumor tissues. Among the proteins differentially expressed, keratin 13 was much lower in tumors, whereas heat-shock (Hsp) family members were highly expressed in neoplastic cells. Wnt-6 and Wnt-14 were identified in both normal and tumor tissues, respectively, and placental growth factor (PIGF) was detected only in tumors. Immunohistochemical analysis of HNSCC tissues revealed lack of keratin 13 in tumor tissues, and strong staining in normal epithelia, and high expression of Hsp90 in tumors. Our study, by combining LCM and proteomic technologies, underscores the advantages of this approach to investigate complex changes at the protein level in HNSCC, thus complementing existing and emerging genomic technologies. These efforts may likely result in the identification of new biomarkers for HNSCC that can be used to diagnose disease, predict susceptibility, and monitor progression in individual patients.

Automatic Gain Control in Mass Spectrometry using a Jet Disrupter Electrode in an Electrodynamic Ion Funnel

We report on the use of a jet disrupter electrode in an electrodynamic ion funnel as an electronic valve to regulate the intensity of the ion beam transmitted through the interface of a mass spectrometer in order to perform automatic gain control (AGC). The ion flux is determined by either directly detecting the ion current on the conductance limiting orifice of the ion funnel or using a short mass spectrometry acquisition. Based upon the ion flux intensity, the voltage of the jet disrupter is adjusted to alter the transmission efficiency of the ion funnel to provide a desired ion population to the mass analyzer. Ion beam regulation by an ion funnel is shown to provide control to within a few percent of a targeted ion intensity or abundance. The utility of ion funnel AGC was evaluated using a protein tryptic digest analyzed with liquid chromatography Fourier transform ion cyclotron resonance (LC-FTICR) mass spectrometry. The ion population in the ICR cell was accurately controlled to selected levels, which improved data quality and provided better mass measurement accuracy.

Nucleolin: acharan sulfate-binding protein on the surface of cancer cells

Glycosaminoglycans (GAGs) are complex polysaccharides that participate in the regulation of physiological processes through the interactions with a wide variety of proteins. Acharan sulfate (AS), isolated from the giant African snail Achatina fulica, primarily consists of the repeating disaccharide structure alpha-D-N-acetylglucosaminyl (1-->4) 2-sulfoiduronic acid. Exogenous AS was injected subcutaneously near the tumor tissue in C57BL/6 mice that had been implanted with Lewis lung carcinoma cells (LLCs). The location of AS in the tumor was assessed by staining of sectioned tissues with alcian blue and periodic acid-Schiff (PAS) reagent. In vitro assays indicated binding of cells to 50 microg/ml AS (or heparin) after a 5-h incubation. Immunofluorescence assays, using anti-AS antibody, detected AS at the cell surface. The outer-surface of LLCs were next biotinylated to identify the AS-binding proteins. Biotinylated cells were lysed, and the lysates were fractionated on the AS affinity column using a stepwise salt gradient (0, 0.1, 0.3, 0.5, 0.7, 1.0, and 2.0 M). The fractions were analyzed by SDS-PAGE with silver staining and western blotting. We focused on the proteins with high affinity for AS (eluting at 1 M NaCl) and detected only two bands by western blotting. ESI Q-TOF MS analysis of one of these bands, molecular weight approximately 110 kDa, showed it to be nucleolin. A phosphorylated form of nucleolin on the surface of cells acts as a cell surface receptor for a variety of ligands, including growth factors (i.e., basic fibroblast growth factor) and chemokines (i.e., midkine). These results show that nucleolin is one of several AS-binding proteins and suggest that AS might demonstrate its tumor growth inhibitory activity by binding the nucleolin receptor protein on the surface of cancer cells.

Use of mass spectrometry to identify protein biomarkers of disease severity in the synovial fluid and serum of patients with rheumatoid arthritis

OBJECTIVE

To identify a panel of candidate protein biomarkers of rheumatoid arthritis (RA) that can predict which patients will develop erosive, disabling disease.

METHODS

A 2-step proteomic approach was used for biomarker discovery and verification. In the first step, 2-dimensional liquid chromatography-coupled tandem mass spectrometry was used to generate protein profiles of synovial fluid (SF) from patients with either erosive RA (n = 5) or nonerosive RA (n = 5). In the second step, the selected candidate markers were verified using quantitative multiple reaction monitoring mass spectrometry in sera of patients with erosive RA (n = 15) or nonerosive RA (n = 15) and of healthy controls (n = 15).

RESULTS

Through differential profiling of proteins in the <40-kd portion of the SF proteome, we selected 33 prospective candidate biomarkers from a total of 418 identified proteins. Among the proteins that were elevated in the SF of patients with erosive RA were C-reactive protein (CRP) and 6 members of the S100 protein family of calcium-binding proteins. Significantly, levels of CRP, S100A8 (calgranulin A), S100A9 (calgranulin B), and S100A12 (calgranulin C) proteins were also elevated in the serum of patients with erosive disease compared with patients with nonerosive RA or healthy individuals.

CONCLUSION

Several potential protein marker candidates have been identified for prognosis of the erosive form of RA. This study demonstrates the facility of using protein mass spectrometry in SF and serum for global discovery and verification of clinically relevant sets of disease biomarkers.

Mass spectrometric protein structure characterization reveals cause of migration differences of haptoglobin ? chains in two-dimensional gel electrophoresis

Haptoglobin belongs to the major constituents of plasma and acts as hemoglobin-binding and acute-phase protein. Due to the occurrence of three major allelic variants and further structural modifications, the alpha chains of haptoglobin form varying spot patterns in two-dimensional gel electrophoresis (2-DE) gels, which is generally observed in differential proteome analyses using plasma or related body fluids of humans. In the present study plasma samples from 10 donors of initially unknown haptoglobin phenotype were separated by 2-DE and tryptic digests of excised haptoglobin alpha chain spots were analyzed by matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF-MS) and MALDI-quadrupole ion trap TOF-MS. Haptoglobin alpha1S, alpha1F, as well as alpha2 chains were found to occur each with at least three structurally differing protein species: (i) the unmodified form, which corresponds to the sequence database entries; (ii) derivatives, in which asparagine at position five is deamidated to aspartic acid; and (iii) derivatives with an additional C-terminal arginine residue. These structural variants account for the most commonly observed spot patterns of haptoglobin alpha chains in Coomassie-stained gels. Additionally, a minor derivative of the haptoglobin alpha2 chain carrying both modifications, deamidation at position five and the C-terminal arginine residue, was identified. Theoretical pI values of the characterized structural variants are, consistent with their observed migration in the 2-DE gels.

Profiling proteins related to amyloid deposited brain of Tg2576 mice

Alzheimer's disease (AD) is an age-related neurodegenerative disorder that is characterized by the extracellular deposition of beta-amyloid and intracellular hyperphosphorylation of tau in the cortex and hippocampus of the brain. These characterizations are caused by abnormal expression, modification and deposition of certain proteins. Post-translational modifications of proteins including oxidation and nitration might be involved in the pathogenesis of AD. In this study, AD-related proteins were identified in the cortex of Tg2576 mice used as a model for studying AD. Tg2576 mice express high levels of the Swedish mutated form of human beta-amyloid precursor protein (APP) and generated high levels of beta-amyloid in the brains. Using Western blotting and two-dimensional electrophoresis, proteins with differences in expression, oxidation and nitration in the cortex of Tg2576 mice brains were compared to littermate mice brains used as a control. The proteins with different expression levels were identified using matrix-assisted laser desorption/ionization-time of flight and liquid chromatography-tandem mass spectrometry analyses. As a result, 12 proteins were identified among 37 different proteins using the PDQuest program. Furthermore, two proteins, laminin receptor and alpha-enolase, were more susceptible to oxidative modification in the brains of Tg2576 mice compared to those of littermates. Similarly, alpha-enolase, calpain 12, and Atp5b were more modified by nitration in brains of Tg2576 mice than those of littermates. Taken together, these proteins and their modifications may play an important role in the plaque deposition of Tg2576 mice brains.

Fully automated online multi-dimensional protein profiling system for complex mixtures

For high throughput proteome analysis of highly complex protein mixtures, we have constructed a fully automated online system for multi-dimensional protein profiling, which utilizes a combination of two-dimensional liquid chromatography and tandem mass spectrometry (2D-LC-MS-MS), based on our well-established offline system described previously [K. Fujii, T. Nakano, T. Kawamura, F. Usui, Y. Bando, R. Wang, T. Nishimura, J. Proteome Res. 3 (2004) 712]. A two-valve switching system on a programmable auto sample injector is utilized for online two-dimensional chromatography with strong cation-exchange (SCX) and reversed-phase (RP) separations. The SCX separation is carried out during the equilibration of RP chromatography and the entire sequence of analysis was performed under fully automated conditions within 4 h, based on six SCX fractionations, and 40 min running time for the two-dimensional RP chromatography. In order to evaluate its performance in the detection and identification of proteins, digests of six standard proteins and yeast 20S proteasome have been analyzed and their results were compared to those obtained by the one-dimensional reversed-phase chromatography system (ID-LC-MS-MS). The 2D-LC-MS-MS system demonstrated that both the number of peptide fragments detected and the protein coverage had more than doubled. Furthermore, this multi-dimensional protein profiling system was also applied to the human 26S proteasome, which is one of the highly complex protein mixtures. Consequently, 723 peptide fragments were identified as 31 proteasome components, together with other coexisting proteins in the sample. The identification could be comprehensively performed with a 63% sequence coverage on an average, and additionally, with modifications at the N-terminus. These results indicated that the online 2D-LC-MS-MS system being described here is capable of analyzing highly complex protein mixtures in a high throughput manner, and that it would be applicable to dynamic proteomics.

Proteomic analysis of Acinetobacter lwoffii K24 by 2-D gel electrophoresis and electrospray ionization quadrupole-time of flight mass spectrometry

The MS/MS analysis by Electrospray ionization quadrupole-time of flight mass spectrometry (ESI-Q-TOF MS) was applied to identify proteins in proteome analysis of bacteria whose genomes are not known. The protein identification by ESI-Q-TOF MS was performed sequentially by database search and then de novo sequencing using MS/MS spectra. Soil bacteria having unanalyzed genome, Acinetobacter lwoffii K24 is an aniline degrading bacterium. In this report, we present the results of a comparison between the proteome profile of A. lwoffii K24 cultured in aniline- or succinate-containing media. Protein analysis was performed using two-dimensional gel electrophoresis (2-DE) with pH 3-10 immobilized pH gradient (IPG) strips followed by ESI-Q-TOF MS. More than 780 protein spots were detected by 2-DE from the soluble proteome. Forty-eight of these proteins were expressed exclusively in aniline cultured bacteria, and 81 proteins increased and 162 proteins decreased in aniline-cultured versus succinate cultured A. lwoffii K24. Internal amino acid sequences of 43 major protein spots were successfully determined by ESI-Q-TOF MS to try to identify the bacterial proteins responding to aniline culture condition. Since the A. lwoffii K24 genome is not yet sequenced, many proteins were found to be hypothetical. Comparative proteome analysis of the insoluble protein fractions showed that one novel protein that was strongly induced by succinate-cultured A. lwoffii K24 was repressed under aniline culture conditions. These results suggest that comprehensive analysis of bacterial proteomes by 2-DE and amino acid sequence analysis by ESI-Q-TOF MS is useful for understanding induced novel proteins of biodegrading bacteria.

How Industry Is Approaching the Search for New Diagnostic Markers and Biomarkers

In the diagnostic and the pharmaceutical industry there is a constant need for new diagnostic markers and biomarkers with improved sensitivity and specificity. During the last 5 years, only a few novel diagnostic markers have been introduced into the market. Proteomics technologies are now offering unique chances to identify new candidate markers. Before a marker can be introduced into the market, three successive developmental phases have to be completed: the discovery phase, in which a variety of proteomics technologies are applied to identify marker candidates; the prototype developmental phase, in which immunological assays are established and validated in defined sample collectives; and finally the product development phase, with assay formats suitable for automated platforms. The hurdles that a potential candidate marker has to pass in each developmental phase before reaching the market are considerable. The costs are increasing from phase to phase, and in industry a number of questions concerning the medical need and the potential return on investment have to be answered before a proteomics discovery project is started. In this review, we will cover aspects of all three developmental phases including the repertoire of discovery tools for protein separation as well as giving an outline of modern principles of mass spectrometry for the identification of proteins.

Factors that affect ion trap data-dependent MS/MS in proteomics

Quadrupole ion trap scanning parameters for performing bottom-up proteomics in a data-dependent fashion were evaluated on a Finnigan LCQ Deca mass spectrometer. Evaluation of parameters such as the number of averaged full scans, the number of averaged MS/MS scans, and ion injection times were necessary for acquiring high quality MS/MS spectra that yield favorable b and y ion coverage and high correlation to proteins using database searching algorithms. In this study, we demonstrated how the duty cycle of the mass spectrometer affects the number of peptides that can be successfully identified by SEQUEST using a model system of tryptic BSA peptides to mimic a typical complex mixture associated with bottom-up proteomics. The number of averaged scans and the duration of ion accumulation in the trap had a significant effect on the quality of acquired MS/MS spectra. For example, by increasing the ion injection time from 500 ms to 600 ms, peptide HLVDEPQNLIK improved from being improperly identified to being correctly identified with a SEQUEST cross-correlation score of 3.60. As a result of these experiments, we have devised the following set of ion trap parameters for performing bottom-up proteomics analysis in our laboratory: Three averaged full scans, five averaged MS/MS scans, and a maximum ion injection time of 600 ms.

A new and sensitive on-line liquid chromatography/mass spectrometric approach for top-down protein analysis: the comprehensive analysis of human growth hormone in an E. coli lysate using a hybrid linear ion trap/Fourier transform ion cyclotron resonance mass spectrometer

A sensitive, integrated top-down liquid chromatography/mass spectrometry (LC/MS) approach, suitable for the near complete characterization of specific proteins in complex protein mixtures, such as inclusion bodies of an E. coli lysate, has been successfully developed using a hybrid linear ion trap/Fourier transform ion cyclotron resonance (FTICR) mass spectrometer. In particular, human growth hormone (hGH) (200 fmol) was analyzed with high sequence coverage (>95%), including the sites of disulfide linkages. The high mass accuracy and resolution of the FTICR mass spectrometer was used to reveal high charge state ions of hGH (22 kDa). The highly charged intact protein ions (such as the 17+ species) were captured and fragmented in the linear ion trap cell. The fragment ions from MS/MS spectra were then successfully analyzed in the FTICR cell in an on-line LC/MS run. Peptide fragments from the N-terminal and C-terminal regions, as well as large interior fragments, were captured and identified. The results allowed the unambiguous assignment of disulfide bonds Cys53-Cys165 and Cys182-Cys189, indicative of proper folding of hGH. The disulfide bond assignments were also confirmed by analysis of the tryptic digest of a sample of hGH purified from inclusion bodies. On-line LC/MS with the linear ion trap/FTICR yields high mass accuracy in both the MS and MS/MS modes (within 2 ppm with external calibration). The approach should prove useful in biotechnology applications to characterize correctly folded proteins, both in the early protein expression and the later processed stages, using only a single automated on-line LC/MS top-down method.

Primary structure details of haptoglobin alpha chain proteins from human plasma samples are resolved by matrix-assisted laser desorption/ionization quadrupole ion trap time-of-flight multiple-stage tandem mass spectrometry sequencing

MALDI QIT ToF MS(n) analyses lead to the rapid identification of protein structural details, as readily interpretable spectra after peptide fragmentations were obtained showing ion signals with high abundance even with sample amounts in the low femtomole range. In our studies we show that the Hp alpha 1F form that contained a C-terminal arginine residue was found to be the only contributing component to spot 149. By contrast, spots 77 and 79 were found to consist of two haptoglobin forms each. Spot 77 consists of Hp alpha 1S and deamidated Hp alpha 1F, whereas spot 79 consists of Hp alpha 1F and of Hp alpha 1S that contains a C- terminal arginine residue. The use of ion traps, enabling the acquisition of MSn spectra serves as a powerful peptide sequencing method for the analysis of both, genetic differences and post-translational modification events as the main reason for the observed spot pattern in the 2-D gels of haptoglobin proteins.

Development of new methodologies for the mass spectrometry study of bioorganic macromolecules

In recent years, mass spectrometry has been increasingly used for the analysis of various macromolecules of biological, biomedical, and biochemical interest. This increase has been made possible by two key developments: the advent of electrospray ionization (ESI) and matrix-assisted laser desorption ionization (MALDI) sources. The two new techniques produce a significant increase in mass range and in sensitivity that led to the development of new applications and of new analyzer designs, software, and robotics. This review, apart from the description of the status of mass spectrometry in the analysis of bioorganic macromolecules, is mainly devoted to the illustration of the more recent promising techniques and on their possible future evolution.

Identification of proteins separated by one-dimensional sodium dodecyl sulfate/polyacrylamide gel electrophoresis with matrix-assisted laser desorption/ionization ion trap mass spectrometry; comparison with matrix-assisted laser desorption/ionization time-of-flight mass fingerprinting

Digests from ten gel bands containing low abundance proteins were analyzed by both matrix-assisted laser desorption/ionization ion trap (MALDI-IT) and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) methods. MALDI-TOF techniques were able to identify only one protein from all 10 gel bands, while MALDI-IT identified eight proteins from the same 10 bands. The ability to perform MS/MS experiments with a MALDI-IT instrument leads to protein identifications based on both peptide molecular mass and sequence information, and is much less prone to errors and uncertainties introduced by peptide fingerprinting methodologies in which protein identification is based on peptide molecular masses alone.

Toward a human blood serum proteome: analysis by multidimensional separation coupled with mass spectrometry

Blood serum is a complex body fluid that contains various proteins ranging in concentration over at least 9 orders of magnitude. Using a combination of mass spectrometry technologies with improvements in sample preparation, we have performed a proteomic analysis with submilliliter quantities of serum and increased the measurable concentration range for proteins in blood serum beyond previous reports. We have detected 490 proteins in serum by on-line reversed-phase microcapillary liquid chromatography coupled with ion trap mass spectrometry. To perform this analysis, immunoglobulins were removed from serum using protein A/G, and the remaining proteins were digested with trypsin. Resulting peptides were separated by strong cation exchange chromatography into distinct fractions prior to analysis. This separation resulted in a 3-5-fold increase in the number of proteins detected in an individual serum sample. With this increase in the number of proteins identified we have detected some lower abundance serum proteins (ng/ml range) including human growth hormone, interleukin-12, and prostate-specific antigen. We also used SEQUEST to compare different protein databases with and without filtering. This comparison is plotted to allow for a quick visual assessment of different databases as a subjective measure of analytical quality. With this study, we have performed the most extensive analysis of serum proteins to date and laid the foundation for future refinements in the identification of novel protein biomarkers of disease.

The human plasma proteome: history, character, and diagnostic prospects

The human plasma proteome holds the promise of a revolution in disease diagnosis and therapeutic monitoring provided that major challenges in proteomics and related disciplines can be addressed. Plasma is not only the primary clinical specimen but also represents the largest and deepest version of the human proteome present in any sample: in addition to the classical "plasma proteins," it contains all tissue proteins (as leakage markers) plus very numerous distinct immunoglobulin sequences, and it has an extraordinary dynamic range in that more than 10 orders of magnitude in concentration separate albumin and the rarest proteins now measured clinically. Although the restricted dynamic range of conventional proteomic technology (two-dimensional gels and mass spectrometry) has limited its contribution to the list of 289 proteins (tabulated here) that have been reported in plasma to date, very recent advances in multidimensional survey techniques promise at least double this number in the near future. Abundant scientific evidence, from proteomics and other disciplines, suggests that among these are proteins whose abundances and structures change in ways indicative of many, if not most, human diseases. Nevertheless, only a handful of proteins are currently used in routine clinical diagnosis, and the rate of introduction of new protein tests approved by the United States Food and Drug Administration (FDA) has paradoxically declined over the last decade to less than one new protein diagnostic marker per year. We speculate on the reasons behind this large discrepancy between the expectations arising from proteomics and the realities of clinical diagnostics and suggest approaches by which protein-disease associations may be more effectively translated into diagnostic tools in the future.