Chemical cross-linking combined with mass spectrometry provides a powerful method for identifying protein−protein interactions and probing the structure of protein complexes. A number of strategies have been reported that take advantage of the high sensitivity and high resolution of modern mass spectrometers. Approaches typically include synthesis of novel cross-linking compounds, and/or isotopic labeling of the cross-linking reagent and/or protein, and label-free methods. We report Xlink-Identifier, a comprehensive data analysis platform that has been developed to support label-free analyses. It can identify interpeptide, intrapeptide, and deadend cross-links as well as underivatized peptides. The software streamlines data preprocessing, peptide scoring, and visualization and provides an overall data analysis strategy for studying protein−protein interactions and protein structure using mass spectrometry. The software has been evaluated using a custom synthesized cross-linking reagent that features an enrichment tag. Xlink-Identifier offers the potential to perform large-scale identifications of protein−protein interactions using tandem mass spectrometry.

Soil rhizospheric metaproteomics is a powerful scientific tool to uncover the interactions between plants and microorganisms in the soil ecosystem. The present study established an extraction method suitable for different soils that could increase the extracted protein content. Close to 1000 separate spots with high reproducibility could be identified in the stained 2-DE gels. Among the spots, 189 spots representing 122 proteins on a 2-DE gel of rice soil samples were successfully identified by MALDI-TOF/TOF-MS. These proteins mainly originated from rice and microorganisms. They were involved in protein, energy, nucleotide, and secondary metabolisms, as well as signal transduction and resistance. Three characteristics of the crop rhizospheric metaproteomics seemed apparent: (1) approximately one-third of the protein spots could not be identified by MALDI-TOF/TOF/MS, (2) the conservative proteins from plants formed a feature distribution of crop rhizospheric metaproteome, and (3) there were very complex interactions between plants and microorganisms existing in a crop rhizospheric soil. Further functional analysis on the identified proteins unveiled various metabolic pathways and signal transductions involved in the soil biotic community. This study provides a paradigm for metaproteomic research on soil biology.

Seminal plasma is a fluid that originates from the testis, epididymis,prostate, and seminal vesicles, and hence, proteomic studies may identify potential markers of infertility and other diseases of the genito-urinary tract. We profiled the proteomes of pooled seminal plasma from fertile Control and post-vasectomy (PV) men. PV seminal plasma samples are void of proteins originating from the testis and the epididymis due to ligation of the vas deferens, and hence, comparative analysis of Control and PV data sets allows for identification of proteins originating from these tissues. Utilizing offline MudPIT and high-resolution mass spectrometry, we were able to identify over 2000 proteins in Control and PV pools each and over 2300 proteins all together. With semiquantitative analysis using spectral counting, we catalogued 32 proteins unique to Control, 49 at lower abundance in PV, 3 unique to PV, and 25 at higher abundance in PV. We believe that proteins unique to Control or at lower abundance in PV have their origin in the testis and the epididymis. Public databases have confirmed that many of these proteins originate from the testis and epididymis and are linked to the reproductive tract. These proteins may serve as candidate biomarkers for future studies of infertility and urogenital diseases.

We have isolated and characterized outer membrane vesicles (OMVs) from Francisella. Transport of effector molecules through secretion systems is a major mechanism by which Francisella tularensis alters the extracellular proteome and interacts with the host during infection. Outer membrane vesicles produced by Francisella were examined using TEM and AFM and found to be 43−125 nm in size, representing another potential mechanism for altering the extracellular environment. A proteomic analysis (LC−MS/MS) of OMVs from F. novicida and F. philomiragia identified 416 (F. novicida) and 238 (F. philomiragia) different proteins, demonstrating that OMVs are an important contributor to the extracellular proteome. Many of the identified OMV proteins have a demonstrated role in Francisella pathogenesis. Biochemical assays demonstrated that Francisella OMVs possess acid phosphatase and hemolytic activities that may affect host cells during infection, and are cytotoxic toward murine macrophages in cell culture. OMVs have been previously used as a human vaccine against Neisseria meningitidis. We hypothesized that Francisella OMVs could be useful as a novel Francisella vaccine. Vaccinated BALB/C mice challenged with up to 50 LD50 of Francisella showed statistically significant protection when compared to control mice. In the context of these new findings, we discuss the relevance of OMVs in Francisella pathogenesis as well as their potential use as a vaccine.

SelW, a protein containing a selenocysteine (Sec) in a conserved Cys-X-X-Sec motif, has been suggested to have an antioxidant role in cell metabolism. SelW is known to specifically interact with different isoforms of 14-3-3 proteins. The latter are involved in several cellular processes such as regulation of the cell cycle, metabolism control, apoptosis, protein trafficking, and gene transcription. 14-3-3 proteins feature a conserved solvent-exposed cysteine residue, in a surface environment prone to induce chemical modifications of the thiol functionality following oxidative stress. The structures of 12 homologous complexes between SelW and 14-3-3 were calculated using sequential alignments, molecular modeling, and docking algorithms guided by known experimental NMR data. These structures reveal the viability of a protein complex in which the conserved Sec residue on SelW approaches the conserved exposed Cys on 14-3-3, making a plausible Sec-Se-S-Cys bond. On the basis of the structural information derived from these calculations, we propose a working hypothesis that entails a role for SelW as a physiological partner of 14-3-3 proteins, able to facilitate a redox-based regulation mechanism.

The recent generation of induced pluripotent stem (iPS) cells represents a novel opportunity to complement embryonic stem (ES) cell-based approaches. iPS cells can be generated by viral transduction of specific transcription factors, but there is a potential risk of tumorigenicity by random retroviral integration. We have generated novel iPS (sFB-protein-iPS) cells from murine dermal fibroblasts (FVB-sFB) that have ES cell characteristics, using ES cell-derived cell extracts instead of performing viral transduction. Notably, only cell extracts from an ES cell line (C57-mES) on the C57/BL6 background generated iPS cells in our protocol—not an ES cell line (E14-mES) on the 129 background. Hypothesizing that determining the differences in these 2 mES cell lines will provide vital insight into the reprogramming machinery, we performed proteomic and global gene expression analysis by iTRAQ and mRNA microarray, respectively. We observed that pluripotent ES cells and ES cell extract-derived iPS cells had differential proteomes and global gene expression patterns. Notably, reprogramming-competent C57-mES cells highly expressed proteins that regulate protein synthesis and metabolism, compared with reprogramming-incompetent 129-mES cells, suggesting that there is a threshold that protein synthetic machinery must exceed to initiate reprogramming.

Insulin/IGF-like signaling (IIS) and nutrient sensing are among the most potent regulators of health status and aging. Here, a global view of the metabolic changes in C. elegans with impaired function of IIS represented by daf-2 and daf-16 and the intestinal di- and tripeptide transport pept-1 was generated using ¹H nuclear magnetic resonance spectroscopic analysis of worm extracts and spent culture media. We showed that specific metabolic profiles were significantly associated with each type of mutant. On the basis of the metabonomics data, selected underlying processes were further investigated using proteomic and transcriptomic approaches. The observed changes suggest a decreased activity of the one carbon metabolism in pept-1(lg601) mutants. Higher concentration of branched-chain amino acids (BCAA) and altered transcript levels of genes involved in BCAA metabolism were observed in long-living strains daf-2(e1370) and daf-2(e1370);pept-1(lg601) when compared to wild types and daf-16(m26);daf-2(e1370);pept-1(lg601) C. elegans, suggesting a DAF-16-dependent mechanism.

Although the overall performance of modern mass spectrometers has increased, proteomic analysis of complex samples still requires prefractionation either at the protein or peptide level to allow for in-depth analysis of normal cellular function. Here, we report a novel way to identify protein changes occurring during sperm development through the epididymis. Phosphopeptides were first enriched from either the rat caput or caudal regions of the epididymides using TiO₂, and the profiles then quantitatively compared. We show that 77 TiO₂-enriched peptides become significantly modified in the epididymis, equating to 53 proteins. Through the use of immunoblot analysis, we confirmed that three proteins, ornithine-decarboxylase antizyme 3, heat-shock protein 90α, and testis-lipid binding protein, undergo major protein loss during epididymal passage. Many other proteins, including t-complex protein 10 and Spata18 show testis unique expression, appear to undergo phosphorylation during this same time frame. These data provide mechanistic insight into the means by which spermatozoa acquire functionality during epididymal transit.

Plants respond to environmental stress by dynamically reprogramming their growth. Whereas stress onset is accompanied by rapid growth inhibition leading to smaller organs, growth will recover and adapt once the stress conditions become stable and do no threaten plant survival. Here, adaptation of growing Arabidopsis thaliana leaves to mild and prolonged osmotic stress was investigated by means of a complete metabolic labeling strategy with the ¹⁵N-stable isotope as a complement to a previously published transcript and metabolite profiling. Global analysis of protein changes revealed that plastidial ATPase, Calvin cycle, and photorespiration were down-regulated, but mitochondrial ATP synthesis was up-regulated, indicating the importance of mitochondria in preserving plastid functions during water stress. Although transcript and protein data correlated well with the stable and prolonged character of the applied stress, numerous proteins were clearly regulated at the post-transcriptional level that could, at least partly, be related to changes in protein synthesis and degradation. In conclusion, proteomics using the ¹⁵N labeling helped understand the mechanisms underlying growth adaptation to osmotic stress and allowed the identification of candidate genes to improve plant growth under limited water.

Cladribine (CdA) and fludarabine (FdAMP) are purine analogs that induce apoptosis in chronic lymphocytic leukemia and non-Hodgkin’s lymphoma, but the mechanisms are undefined. The effects of CdA and fludarabine nucleoside (FdA) on the cytosolic, mitochondrial, and nuclear proteomes in human Raji lymphoma cells have been determined using two-dimensional fluorescence difference gel electrophoresis (DIGE) and mass spectrometry. Differentially abundant proteins have provided new insights into CdA- and FdA-induced apoptosis. Treatment with these purine analogs induced changes in proteins involved with intermediary metabolism, cell growth, signal transduction, protein metabolism, and regulation of nucleic acids. Differentially abundant mitochondrial 39S ribosomal protein L50, mTERF domain-containing protein 1, Chitinase-3 like 2 protein, and ubiquinone biosynthesis protein COQ9 have been identified in cells undergoing apoptosis. Up-regulation of several stress-associated proteins found in the endoplasmic reticulum (ER) including GRP78, ERp57, and ORP150 suggests that purine analog-induced apoptosis may result from ER stress and unfolded protein response. While mitochondria-dependent apoptosis has been associated with purine analog cytotoxicity, the likely involvement of the ER stress pathway in CdA- and FdA-induced apoptosis has been shown here for the first time.

In vivo human brain extracellular fluids (ECF) of acute stroke patients were investigated to assess the changes in protein levels associated with ischemic damages. Microdialysates (MDs) from the infarct core (IC), the penumbra (P), and the unaffected contralateral (CT) brain regions of patients suffering an ischemic stroke (n = 6) were compared using a shotgun proteomic approach based on isobaric tagging and mass spectrometry. Quantitative analysis showed 53 proteins with increased amounts in the IC or P with respect to the CT samples. Glutathione S-transferase P (GSTP1), peroxiredoxin-1 (PRDX1), and protein S100-B (S100B) were further assessed with ELISA on the blood of unrelated control (n = 14) and stroke (n = 14) patients. Significant increases of 8- (p = 0.0002), 20- (p = 0.0001), and 11-fold (p = 0.0093) were found, respectively. This study highlights the value of ECF as an efficient source to further discover blood stroke markers.

Dynamic range compression (DRC) by hexapeptide libraries increases MS/MS-based identification of lower-abundance proteins in complex mixtures. However, two unanswered questions impede fully realizing DRC’s potential in shotgun proteomics. First, does DRC enhance identification of post-translationally modified proteins? Second, can DRC be incorporated into a workflow enabling relative protein abundance profiling? We sought to answer both questions analyzing human whole saliva. Addressing question one, we coupled DRC with covalent glycopeptide enrichment and MS/MS. With DRC we identified ∼2 times more N-linked glycoproteins and their glycosylation sites than without DRC, dramatically increasing the known salivary glycoprotein catalog. Addressing question two, we compared differentially stable isotope-labeled saliva samples pooled from healthy and metastatic breast cancer women using a multidimensional peptide fractionation-based workflow, analyzing in parallel one sample portion with DRC and one portion without. Our workflow categorizes proteins with higher absolute abundance, whose relative abundance ratios are altered by DRC, from proteins of lower absolute abundance detected only after DRC. Within each of these salivary protein categories, we identified novel abundance changes putatively associated with breast cancer, demonstrating feasibility and benefits of DRC for relative abundance profiling. Collectively, our results bring us closer to realizing the full potential of DRC for proteomic studies.

Protein aggregation, which is associated with the impairment of the ubiquitin proteasome system, is a hallmark of many neurodegenerative diseases. To better understand the contribution of proteasome inhibition in aggregation, we analyzed which proteins may potentially localize in chemically induced aggregates in human neuroblastoma tissue culture cells. We enriched for proteins in high-density structures by using a sucrose gradient in combination with stable isotope labeling with amino acids in cell culture (SILAC). The quantitative analysis allowed us to distinguish which proteins were specifically affected by the proteasome inhibition. We identified 642 potentially aggregating proteins, including the p62/sequestosome 1 and NBR1 ubiquitin-binding proteins involved in aggregation. We also identified the ubiquitin-associated protein 2 like (UBAP2L). We verified that it cofractionated with ubiquitin in the high-density fraction and that it was colocalized in the ubiquitin-containing aggregates after proteasome inhibition. In addition, we identified several chaperone proteins and used data from protein interaction networks to show that they potentially interact with distinct subgroups of proteins within the aggregating structures. Several other proteins associated with neurodegenerative diseases, like UCHL1, were identified, further underlining the potential of our analysis to better understand the aggregation process and proteotoxic stress caused by proteasome inhibition.

The physical, endocrine, and metabolic responses of livestock to road transport have been evaluated by conventional hematological and biochemistry parameters for more than 20 years. However, these measures are relatively insensitive to subtle metabolic adaptations. We applied NMR-based metabonomics to assess system-wide metabolic responses as expressed in urine and serum of a large cohort of animals (n = 80) subjected to 12 and 48 h road transport. The profiling of ¹H NMR spectra revealed that the transported animals experienced altered gut and energy metabolism, muscle catabolism, and possibly a renal response. The animals transported for 48 h exhibited a deeper metabolic response to the transport event and a complex and expanded metabolic trajectory over the 72 h recovery period. Intriguingly, excretion of acyl glycines and a dicarboxylic acid was observed after transport and during recovery, implicating peroxisomal fatty acid oxidation as a metabolic response to transport-induced stress.

17β-Estradiol (E2) regulates transcriptional activity partly by inducing protein-kinase cascades, leading to the phosphorylation of estrogen receptors (ERs) and other functional proteins. Many of these phosphorylation events are also modulated by growth factors. To gain an insight into E2-modulated protein phosphorylation, we applied quantitative phosphoproteomics to investigate global changes in protein phosphorylation induced by E2 in MCF-7 cells. Proteomic analyses using stable isotope dimethyl labeling coupled with immobilized metal affinity chromatography-hydrophilic interaction liquid chromatography (IMAC-HILIC) fractionation and nanoLC−MS/MS identified and quantified 2857 unique phosphorylation sites in 1338 phosphoproteins from 1 mg of total cellular protein. In addition to S118 of ERα, a 30-min E2 treatment significantly altered the status of 403 phosphorylation sites, including 112 novel sites. Interestingly, the substrate motifs for ERK1/2 were largely enriched in both the up-regulated and down-regulated phosphorylation sites. An increase in the phosphorylation on either the T202 or Y204 sites of ERK1 was observed after E2 treatment, while dual phosphorylation on both sites were not detected, implying that a feedback loop to deactivate MAPK signaling was achieved during a 30-min E2 treatment. In contrast, the PKA and CKII substrate motifs were majorly enriched among the up-regulated phosphorylation sites. Western blot analysis confirmed that E2 increased the phosphorylation level of S226 within a CKII motif of HSP90β by a factor of 2- to 3-fold without changing the total protein expression level. E2 also up-regulated phosphorylations of S255 in HSP90β and S353 within a CKII motif of HSP90α. These results indicated that E2 may modulate gene transcription by affecting the stability, function, and activity of many regulators through a HSP90 phosphorylation-mediated chaperoning process. This study, using a quantitative, multidimensional separation phosphoproteomic approach that required a relatively low amount of cells, provides new insights into the diversity, variability, and dynamic nature of the protein phosphorylation/dephosphorylation elicited by E2.

Connexin43 (Cx43) is a major cardiac gap junction channel protein required for normal electrical and contractile activity. Gap junction channel assembly, function, and turnover are regulated by phosphorylation under both normal and disease conditions. The carboxyl terminus (CT) of Cx43 contains numerous amino acid residues that are phosphorylated by protein kinases. However, our knowledge of the specific residues and kinases involved is incomplete. The objective of this study was to identify amino acid residues in the Cx43-CT that are targets of the multifunctional protein kinase, Ca²⁺/calmodulin protein kinase II (CaMKII), an enzyme known to play critical roles in Ca²⁺ homeostasis, transcription, apoptosis, and ischemic heart disease. We subjected fusion protein containing the Cx43-CT to phosphorylation by CaMKII in vitro, digestion with Lys-C and trypsin followed by enrichment for phosphorylated peptides using TiO₂, and analysis in an LTQ XL Orbitrap with collision-induced dissociation and electron transfer dissociation. We deduced the sites of modification by interpreting tandem spectra from these “orthogonal” methods of gas phase peptide fragmentation. We have identified 15 serine residues, including one novel site, in the Cx43-CT that are phosphorylated by CaMKII, the activity of which may be important in regulating Cx43 in normal and diseased hearts.

In cancer metastasis, secreted proteins play an important role in promoting cancer cell migration and invasion and thus also in the increase of cancer metastasis in the extracellular microenvironment. In this study, we developed a strategy that combined a simple gel-aided protein purification with iTRAQ labeling to quantify and discover the metastasis-associated proteins in the lung cancer cell secretome. Secreted proteins associated with lung cancer metastasis were produced using CL1−0 and CL1−5 cells with different metastatic abilities. Quantitative secretomics analysis identified a total of 353 proteins, 7 of which were considered to be metastasis-associated proteins. These included TIMP1, COL6A1, uPA, and AAT, all of which were higher in CL1−5, and AL1A1, PRDX1, and NID1, which were higher in CL1−0. Six of these metastasis-associated proteins were validated with Western blot analysis. In addition, pathway analysis was performed in building the interaction network between the identified metastasis-associated proteins. Further functional analysis of COL6A1 on the metastatic abilities of CL1 cells was also carried out. An RNA interference-based knock-down of COL6A1 suppressed the metastatic ability of CL1−5 cells; in contrast, a plasmid-transfected overexpression of COL6A1 increased the metastatic ability of CL1−0 cells. This study describes a simple and high throughput sample purification method that can be used for the quantitative secretomics analysis of metastasis-associated proteins.

Ectopic pregnancy (EP) and normal intrauterine pregnancy (IUP) serum proteomes were quantitatively compared to systematically identify candidate biomarkers. A 3-D biomarker discovery strategy consisting of abundant protein immunodepletion, SDS gels, LC−MS/MS, and label-free quantitation of MS signal intensities identified 70 candidate biomarkers with differences between groups greater than 2.5-fold. Further statistical analyses of peptide quantities were used to select the most promising 12 biomarkers for further study, which included known EP biomarkers, novel EP biomarkers (ADAM12 and ISM2), and five specific isoforms of the pregnancy specific beta-1-glycoprotein family. Technical replicates showed good reproducibility and protein intensities from the label-free discovery analysis compared favorably with reported abundance levels of several known reference serum proteins over at least 3 orders of magnitude. Similarly, relative abundances of candidate biomarkers from the label-free discovery analysis were consistent with relative abundances from pilot validation assays performed for five of the 12 most promising biomarkers using label-free multiple reaction monitoring of both the patient serum pools used for discovery and the individual samples that constituted these pools. These results demonstrate robust, reproducible, in-depth 3-D serum proteome discovery, and subsequent pilot-scale validation studies can be achieved readily using label-free quantitation strategies.

Mortality attributable to infection with methicillin-resistant Staphylococcus aureus (MRSA) has now overtaken the death rate for AIDS in the United States, and advances in research are urgently needed to address this challenge. We report the results of the systematic identification of protein−protein interactions for the hospital-acquired strain MRSA-252. Using a high-throughput pull-down strategy combined with quantitative proteomics to distinguish specific from nonspecific interactors, we identified 13 219 interactions involving 608 MRSA proteins. Consecutive analyses revealed that this protein interaction network (PIN) exhibits scale-free organization with the characteristic presence of highly connected hub proteins. When clinical and experimental antimicrobial targets were queried in the network, they were generally found to occupy peripheral positions in the PIN with relatively few interacting partners. In contrast, the hub proteins identified in this MRSA PIN that are essential for network integrity and stability have largely been overlooked as drug targets. Thus, this empirical MRSA-252 PIN provides a rich source for identifying critical proteins essential for network stability, many of which can be considered as prospective antimicrobial drug targets.

Biomarkers in noninvasive fluids indicative of cigarette smoke’s effects are urgently needed. In this pilot study, we utilized the proteomic approach, isobaric Tags for Relative and Absolute Quantitation (iTRAQ), to identify differentially expressed plasma proteins in healthy cigarette smokers compared to healthy nonsmokers; select proteins were further confirmed by immunoblot analysis. Significant, differentially expressed proteins identified in the plasma separated subjects based on their condition as smokers or nonsmokers. Several of the proteins identified in this study are associated with immunity and inflammatory responses and have been shown to be associated with tobacco-related diseases, including chronic obstructive pulmonary disease (COPD) and lung cancer. Proteins up-regulated in smokers included complement component 8 polypeptide chains α, β, and γ, and mannose-binding protein C, and proteins down-regulated included inter-α-trypsin inhibitor heavy chain H3 (ITI-HC3) and vitamin D-binding protein (VDBP). In addition, gelsolin and vitronectin, known tissue leakage proteins, were up- and down-regulated, respectively. Our results demonstrate for the first time that chronic cigarette smoking can influence the expression profile of the human plasma proteome. Proteins identified in this pilot study may serve as candidate biomarkers of diseases resulting from exposure to cigarette smoke in future molecular epidemiological studies.

Endothelial cells are exposed to different types of shear stress which triggers the secretion of subsets of proteins. In this study, we analyzed the secretome of endothelial cells under static, laminar, and oscillatory flow. To differentiate between endogenously expressed and added proteins, isolated human umbilical vein endothelial cells were labeled with l-Lysine-¹³C₆,¹⁵N₂ and l-Arginine-¹³C₆,¹⁵N₄. Shear stress was applied for 24 h using a cone-and-plate viscometer. Proteins from the supernatants were isolated, trypsinized, and finally analyzed using LC−MS/MS (LTQ). Under static control condition 395 proteins could be identified, of which 78 proteins were assigned to the secretome according to Swiss-Prot database. Under laminar shear stress conditions, 327 proteins (83 secreted) and under oscillatory shear stress 507 proteins (79 secreted) were measured. We were able to identify 6 proteins specific for control conditions, 8 proteins specific for laminar shear stress, and 5 proteins specific for oscillatory shear stress. In addition, we identified flow-specific secretion patterns like the increased secretion of cell adhesion proteins and of proteins involved in protein binding. In conclusion, the identification of shear stress specific secreted proteins (101 under different flow conditions) emphasizes the role of endothelial cells in modulating the plasma composition according to the physiological requirements.

The Halobacterium salinarum gas vesicle (GV) is an extremely stable intracellular organelle with air trapped inside a proteinaceous membrane. Reported here is a comparative proteomics analysis of GV and GV depleted lysate (GVD) to reveal the membrane structural proteins. Ten proteins encoded by gvp-1 (gvpMLKJIHGFED-1 and gvpACNO-1) and five proteins encoded by gvp-2 (gvpMLKJIHGFED-2 and gvpACNO-2) gene clusters for the biogenesis of spindle- and cylindrical-, respectively, shaped GV were identified by LC−MS/MS. The peptides of GvpA1, I1, J1, A2, and J2 were exclusively identified in purified GV, GvpD1, H1, L1, and F2 only in GVD, and GvpC1, N1, O1, F1, H2, and O2 in both samples. The identification of GvpA1, C1, F1, J1, and A2 in GV is in agreement with their previously known structural function. In addition, the detection of GvpI1, N1, O1, H2, J2, and O2 in GV suggested they are new structural proteins. Among these, the structural role of GvpI1 and N1 in GV was further validated by immuno-detection of protein A-tagged GvpI1 and N1 fusion proteins in purified GV. Thus, LC−MS/MS could reveal at least a half dozen gas vesicle structural proteins in the predominant spindle-shaped GV that may be helpful for studying its biogenesis.

Liver regeneration (LR) is of great clinical significance in various liver-associated diseases. LR proceeds along a sequence of three distinct phases: priming/initiation, proliferation, and termination. Compared with the recognition of the first two phases, little is known about LR termination and structure/function reorganization. A combination of “omics” techniques, along with bioinformatics, may provide new insights into the molecular mechanism of the late-phase LR. Gene, protein, and metabolite profiles of the rat liver were determined by cDNA microarray, two-dimensional electrophoresis, and HPLC−MS analysis. Pathway enrichment analysis was performed to identify the pathways: 427 differentially expressed genes extracted from the microarray experiment revealed two expression patterns representing the early and late phase of LR. Functionally, the genes expressing at a higher level at the early phase than at the late phase were mainly involved in the response to stress, proliferation, and resistance to apoptosis, while those expressing at a lower level at the early phase than at the late phase were mainly engaged in lipid metabolism. Compared with the sham-operation control (SH) group, 5 proteins in the 70% partial hepatectomy (70%PHx) group were upregulated at the protein level, and 3 proteins were downregulated at 168 h after the 70%PHx. E-FABP, an upregulated fatty acid binding protein, was found to be involved in the peroxisome proliferator-activated receptor (PPAR) signaling pathway. The metabolomic data confirmed the enhancement of lipid metabolism by the detection of the intermediate and final metabolites. We've concluded that increased lipid metabolism and activated PPAR signaling pathways play important roles in late-phase LR.

Novel agents characterized by the scaffold of the atypical retinoid ST1926, but containing different chemical functions (carboxylic or hydroxamic acid), exhibit potent proapoptotic activity. In the present paper, we show that the treatment of the IGROV-1 ovarian cancer cell line with compounds sharing structural features with ST1926 (ST1898, ST3595, ST3056) determines a strong inhibition of proliferation mainly due to apoptotic cell death. In an effort to understand the mechanism of action of these compounds, we performed a proteomics analysis of IGROV-1 total lysates and nuclear extracts. Using this approach, we found that deregulation of calcium homeostasis, oxidative stress, cytoskeleton reorganization, and deregulation of proteasome function may represent important pathways involved in response of IGROV-1 cells to the studied compounds. The most prominent effect was down-regulation of factors involved in protein degradation, an event more marked in cells treated with ST3595. In addition, we identified proteins specifically modulated by each treatment, including prohibitin and cochaperone P23 (ST1898), pre-mRNA splicing factor SF2p32 and clathrin light chain (ST3595), as well as Far upstream element (FUSE) binding protein 1 and DNA-binding protein B (ST3056). By identifying proteins modulated by novel proapoptotic agents, this study provides insights into critical aspects of their mechanism of action.

Ubiquitination plays a role in virtually every cellular signaling pathway ranging from cell cycle control to DNA damage response to endocytosis and gene regulation. The bulk of our knowledge of the ubiquitination system is centered on modification of specific substrate proteins and the enzymatic cascade of ubiquitination. Our understanding of the regulation of the reversal of these modifications (deubiquitination) lags significantly behind. We recently reported a multifaceted study of the fission yeast Schizosaccharomyces pombe DUBs including characterization of their binding partners, in vitro enzymatic activity and subcellular localization.(1) Over half of the 20 fission yeast DUBs have a stable protein partner and some of those partners regulate the localization and/or activity of their cognate DUB. As a next step in understanding how DUBs might otherwise be regulated, we investigated the phosphostatus of the entire fission yeast DUB family using LC−MS/MS, and here we discuss the possible implications of phosphoregulation.

Werner syndrome (WS) is characterized by the premature onset of several age-associated pathologies. The protein defective in WS patients (WRN) is a helicase/exonuclease involved in DNA repair, replication, telomere maintenance, and transcription. Here, we present the results of a large-scale proteome analysis to determine protein partners of WRN. We expressed fluorescent tagged-WRN (eYFP-WRN) in human 293 embryonic kidney cells and detected interacting proteins by co-immunoprecipitation from cell extract. We identified by mass spectrometry 220 nuclear proteins that complexed with WRN. This number was reduced to 40 when broad-spectrum nucleases were added to the lysate. We consider these 40 proteins as directly interacting with WRN. Some of these proteins have previously been shown to interact with WRN, whereas most are new partners. Among the top 15 hits, we find the new interactors TMPO, HNRNPU, RPS3, RALY, RPS9 DDX21, and HNRNPM. These proteins are likely important components in understanding the function of WRN in preventing premature aging and deserve further investigation. We have confirmed endogenous WRN interaction with endogenous RPS3, a ribosomal protein with endonuclease activities involved in oxidative DNA damage recognition. Our results suggest that the use of nucleases during cell lysis severely restricts interacting protein partners and thus enhances specificity.

Stable isotope labeling (SIL) methods coupled with nanoscale liquid chromatography and high resolution tandem mass spectrometry are increasingly useful for elucidation of the proteome-wide differences between multiple biological samples. Development of more effective programs for the sensitive identification of peptide pairs and accurate measurement of the relative peptide/protein abundance are essential for quantitative proteomic analysis. We developed and evaluated the performance of a new program, termed UNiquant, for analyzing quantitative proteomics data using stable isotope labeling. UNiquant was compared with two other programs, MaxQuant and Mascot Distiller, using SILAC-labeled complex proteome mixtures having either known or unknown heavy/light ratios. For the SILAC-labeled Jeko-1 cell proteome digests with known heavy/light ratios (H/L = 1:1, 1:5, and 1:10), UNiquant quantified a similar number of peptide pairs as MaxQuant for the H/L = 1:1 and 1:5 mixtures. In addition, UNiquant quantified significantly more peptides than MaxQuant and Mascot Distiller in the H/L = 1:10 mixtures. UNiquant accurately measured relative peptide/protein abundance without the need for postmeasurement normalization of peptide ratios, which is required by the other programs.

Glycosylation of flagellin in Campylobacter jejuni is essential for motility and virulence. It is well-known that flagellin from C. jejuni 81−176 is glycosylated by pseudaminic acid and its acetamidino derivative, and that Campylobactor coli VC167 flagellin is glycosylated by legionaminic acid and its derivatives. Recently, it was shown, by use of a metabolomics approach, that C. jejuni 11168 is glycosylated by dimethyl glyceric acid derivatives of pseudaminic acid, but the sites of glycosylation were not confirmed. Here, we apply an online liquid chromatography electron capture dissociation (ECD) tandem mass spectrometry approach to localize sites of glycosylation in flagellin from C. jejuni 11168. Flagellin A is glycosylated by a dimethyl glyceric acid derivative of pseudaminic acid at Ser181, Ser207 and either Thr464 or Thr 465; and by a dimethyl glyceric acid derivative of acetamidino pseudaminic acid at Ser181 and Ser207. For comparison, on-line liquid chromatography collision-induced dissociation of the tryptic digests was performed, but it was not possible to assign sites of glycosylation by that method.

Despite the reduced incidence of gastric cancer in the developed world, a diagnosis of stomach carcinoma still carries a poor prognosis due to the asymptomatic nature of the disease in the early stages, subsequent advanced stage diagnosis, and a low 5 year survival rate. Endoscopy remains the primary standard for diagnosis of stomach carcinoma and the current marker, carbohydrate antigen 19-9 (CA19-9) lacks the levels of sensitivity and specificity required in order to make it clinically useful for diagnostic monitoring. Therefore, there is a current need for additional markers to improve the diagnostic accuracy for the early stages of stomach cancer. Together, glycomic, proteomic, and glycoproteomic analyses of serum have the potential to identify such probable markers. A discovery study is reported here using preoperative serum from 80 stomach cancer patients, 10 patients bearing benign stomach disease, and 20 matched controls. Glycomic analysis of the total and immunoaffinity depleted serum revealed statistically significant increases in the levels of sialyl Lewis X epitopes (SLe^X) present on triantennary glycans accompanied by increased levels of core fucosylated agalactosyl biantennary glycans present on IgG (referred to as the IgG G0 glycoform) which are associated with increasing disease pathogenesis. Protein expression analysis using 2D-DiGE returned a number of differentially expressed protein candidates in the depleted serum, many of which were shown to carry triantennary SLe^X during subsequent glycomic investigations. Biological pathway analysis of the experimental data returned complement activation and acute phase response signaling as the most significantly altered pathways in the stomach cancer patient serum. Upon the basis of these findings, it is suggested that increased expression of IgG G0 and complement activation are a host response to the presence of the stomach tumor while the increased expression of SLe^X and acute phase response proteins is a result of pro-inflammatory cytokine signaling, including IL-6, during carcinogenesis. The approach presented herein provides an insight into the underlying mechanisms of disease and the resulting changes in the glycome and glycoproteome offer promise as potential markers for diagnosis and prognostic monitoring in stomach cancer.

Venomic analysis of the venoms of Naja nigricollis, N. katiensis, N. nubiae, N. mossambica, and N. pallida revealed similar compositional trends. The high content of cytotoxins and PLA₂s may account for the extensive tissue necrosis characteristic of the envenomings by these species. The high abundance of a type I α-neurotoxin in N. nubiae may be responsible for the high lethal toxicity of this venom (in rodents). The ability of EchiTAb-Plus-ICP antivenom to immunodeplete and neutralize the venoms of African spitting cobras was assessed by antivenomics and neutralization tests. It partially immunodepleted 3FTx and PLA₂s and completely immunodepleted SVMPs and CRISPs in all venoms. The antivenom neutralized the dermonecrotic and PLA₂ activities of all African Naja venoms, whereas lethality was eliminated in the venoms of N. nigricollis, N. mossambica, and N. pallida but not in those of N. nubiae and N. katiensis. The lack of neutralization of lethality of N. nubiae venom may be of medical relevance only in relatively populous areas of the Saharan region. The impaired activity of EchiTAb-Plus-ICP against N. katiensis may not represent a major concern. This species is sympatric with N. nigricollis in many regions of Africa, although very few bites have been attributed to it.

A primary goal in obesity research is to determine why some people become obese (obesity-prone, OP) and others do not (obesity-resistant, OR) when exposed to high-calorie diets. The metabolic changes that cause reduced adiposity and resistance to obesity development have yet to be determined. We thus performed proteomic analysis on muscular proteins from OP and OR rats in order to determine whether other novel molecules are involved in this response. To this end, rats were fed a low- or high-fat diet for 8 weeks and were then classified into OP and OR rats by body weight gain. OP rats gained about 25% more body weight than OR rats, even though food intake did not differ significantly between the two groups. Proteomic analysis using 2-DE demonstrated differential expression of 26 spots from a total of 658 matched spots, of which 23 spots were identified as skeletal muscle proteins altered between OP and OR rats by peptide mass fingerprinting. Muscle proteome data enabled us to draw the conclusion that enhanced regulation of proteins involved in lipid metabolism and muscle contraction, as well as increased expression of marker proteins for oxidative muscle type (type I), contributed to obesity-resistance; however, antioxidative proteins did not.

The disulfide bond bridge is an important post-translational modification for proteins. This study presents a structural analysis of biologically active peptides and proteins containing disulfide bonds using electrochemistry (EC) online combined with desorption electrospray ionization mass spectrometry (DESI-MS), in which the sample undergoes electrolytic disulfide cleavage in an electrochemical flow cell followed by MS detection. Using this EC/DESI-MS method, the disulfide-containing peptides can be quickly identified from enzymatic digestion mixtures, simply based on the abrupt decrease in their relative ion abundances after electrolysis. Peptide mass mapping and tandem MS analysis of the ions of the resulting free peptide chains can possibly establish the disulfide linkage pattern and sequence the precursor peptides. In this regard, the method provides much more chemical information than previous analogous electrochemical analyses. In addition, derivatization of thiols by selective selenamide reagents is useful for easy recognition of reduced peptide ions and the number of their free thiols. Furthermore, electrolytic reduction of proteins (e.g., α-lactalbumin) leads to increased charges on the detected protein ions, revealing the role of disulfide bonds on maintaining protein conformation. This electrochemical mass spectrometric method is fast (completed in few minutes) and does not need chemical reductants, potentially having valuable applications in proteomics research.

Mesenchymal stem cells (MSCs) from bone marrow are suitable for the reconstruction of connective tissues and even brain tissue but have limitations in terms of cell expansion and fully specific differentiation. In our current study, we have attempted to adjust and improve the cell expansion and differentiation properties of human MSCs from different tissues. MSCs from normal bone marrow and Wharton jelly were subjected to proteomic differential displays, followed by functional adjustments based on these displays. Bone marrow MSCs expressed more transgelin-2 and differentiated more rapidly into bone nodules but showed a slower growth rate. A knockdown of transgelin-2 expression by specific small interfering RNA (siRNA) significantly increased the growth rate of these cells, the G1/S phase cell cycle transition, and the interaction of cyclin D1 with cdk2. Wharton jelly MSCs expressed the chaperone protein HSP90β at higher levels and differentiated slowly toward an osteogenic lineage. However, the knockdown of HSP90β expression significantly increased bone nodule formation, inhibited cell growth, decreased the number of cells in the G1/S phase of the cell cycle, and decreased the interaction of cyclin D1 with cdk2 and of cyclin E with cdk2. These results were validated by the in vivo repair of segmental bone defects in a mouse model with severe combined immunodeficiency. We thus demonstrate an improvement in the cell expansion and tissue regeneration properties of human MSCs through specific adjustments.

Based on a single-molecule sensitive fluorescence-linked immunosorbent assay, an analytical platform for the detection of lipoarabinomannan (LAM), a lipopolysaccharide marker of tuberculosis, was established that is about 3 orders of magnitude more sensitive than comparable current ELISA assays. No amplification step was required. Also, no particular sample preparation had to be done. Since individual binding events are detected, true quantification was possible simply by counting individual signals. Utilizing a total internal reflection configuration, unprocessed biological samples (human urine and plasma) to which LAM was added could be analyzed without the requirement of sample purification or washing steps during analysis. Samples containing about 600 antigen molecules per microliter produced a distinct signal. The methodology developed can be employed for any set of target molecules for which appropriate antibodies exist.

The heterogeneity of breast cancer requires the discovery of more incisive molecular tools that better define disease progression and prognosis. Proteomic analysis of homogeneous tumor cell populations derived by laser microdissection from formalin-fixed, paraffin-embedded (FFPE) tissues has proven to be a robust strategy for conducting retrospective cancer biomarker investigations. We describe an MS-based analysis of laser microdissected cancerous epithelial cells derived from twenty-five breast cancer patients at defined clinical disease stages with the goal of identifying protein abundance characteristics indicative of disease progression and recurrence. Comparative analysis of stage 0 and stage III patients revealed 113 proteins that significantly differentiated these groups and included known factors associated with disease pathogenesis, such as CDH1 and CTNNB1, as well as those previously implicated in breast cancer, such as TSP-1. Similar analyses of patients presenting with stage II disease that did or did not exhibit recurrence two years postdiagnosis revealed 42 proteins that significantly differentiated these subgroups and included IRS-1 and PARK7. These data provide evidence supporting the utility of FFPE tissues for functional proteomic analyses and protein biomarker discovery and yielded protein candidates indicative of disease stage and recurrence in breast cancer that warrant further investigation for diagnostic utility and biological relevance.

Renal cell carcinoma (RCC), the most common type of kidney cancer, currently has no biomarker of clinical utility. The present study utilized a mass spectrometry-based proteomics workflow for identifying differentially abundant proteins in RCC by harvesting shed and secreted proteins from the tumor microenvironment through sampling tissue interstitial fluid (TIF) from radical nephrectomies. Matched tumor and adjacent normal kidney (ANK) tissues were collected from 10 patients diagnosed with clear cell RCC. One-hundred thirty-eight proteins were identified with statistically significant differential abundances derived by spectral counting in tumor TIF when compared to ANK TIF. Among those proteins with elevated abundance in tumor TIF, nicotinamide n-methyltransferase (NNMT) and enolase 2 (ENO2) were verified by Western blot and selected reaction monitoring (SRM). The presence of ENO2 and thrombospondin-1 (TSP1) were verified as present and at elevated abundance in RCC patient serum samples as compared to a pooled standard control by enzyme-linked immunosorbent assay (ELISA), recapitulating the relative abundance increase in RCC as compared with ANK TIF.

An in-frame deletion mutation in Epidermal Growth Receptor (EGFR), ΔEGFR is a common and potent oncogene in glioblastoma (GBM), promoting growth and survival of cancer cells. This mutated receptor is ligand independent and constitutively active. Its activity is low in intensity and thought to be qualitatively different from acutely ligand stimulated wild-type receptor implying that the preferred downstream targets of ΔEGFR play a significant role in malignancy. To understand the ΔEGFR signal, we compared it to that of a kinase-inactivated mutant of ΔEGFR and wild-type EGFR with shotgun phosphoproteomics using an electron-transfer dissociation (ETD) enabled ion trap mass spectrometer. We identified and quantified 354 phosphopeptides corresponding to 249 proteins. Among the ΔEGFR-associated phosphorylations were the previously described Gab1, c-Met and Mig-6, and also novel phosphorylations including that of STAT5 on Y694/9. We have confirmed the most prominent phosphorylation events in cultured cells and in murine xenograft models of glioblastoma. Pathway analysis of these proteins suggests a preference for an alternative signal transduction pathway by ΔEGFR compared to wild-type EGFR. This understanding will potentially benefit the search for new therapeutic targets for ΔEGFR expressing tumors.

Identifying changes in the relative abundance of proteins between different biological samples is often confounded by technical noise. In this work, we compared eight normalization methods commonly used in two-dimensional gel electrophoresis and difference gel electrophoresis (DIGE) experiments for their ability to reduce noise and for their influence on the list of proteins whose difference in abundance between two samples is determined to be statistically significant. With respect to reducing noise we find that, while all methods improve upon unnormalized data, cyclic linear normalization is the least well suited to gel-based proteomics and the performances of the other methods are similar. We also find in DIGE data that the choice of normalization method has less of an impact on the noise than does the decision to use an internal reference in the experimental design and that both normalization and standardization using the internal reference are required to maximally reduce variance. Despite the similar noise reduction achieved by most normalization methods, the list of proteins whose abundance was determined to differ significantly between biological groups differed depending on the choice of normalization method. This work provides a direct comparison of the impact of normalization methods in the context of common experimental designs.

In recent years, Prostate Specific Antigen (PSA) testing is widespread and has been associated with deceased mortality rates; however, this testing has raised concerns of overdiagnosis and overtreatment. It is clear that additional biomarkers are required. To identify these biomarkers, we have undertaken proteomics and metabolomics expression profiles of serum samples from BPH, Gleason score 5 and 7 using two-dimensional difference in gel electrophoresis (2D-DIGE) and nuclear magnetic resonance spectroscopy (NMR). Panels of serum protein biomarkers were identified by applying Random Forests to the 2D-DIGE data. The evaluation of selected biomarker panels has shown that they can provide higher prediction accuracy than the current diagnostic standard. With careful validation of these serum biomarker panels, these panels may potentially help to reduce unnecessary invasive diagnostic procedures and more accurately direct the urologist to curative surgery.

Abdominal aortic aneurysm (AAA) is perma-nent and localized dilation of the abdominal aorta. Intraluminal thrombus (ILT) is involved in evolution and rupture of AAA. Complex biological processes associated with AAA include oxidative stress, proteolysis, neovascularization, aortic inflammation, cell death, and extracellular matrix breakdown. Biomarkers of growth and AAA rupture could give a more nuanced indication for surgery, unveil novel pathogenic pathways, and open possibilities for pharmacological inhibition of growth. Differential analysis of metabolites released by normal and pathological arteries in culture may help to find molecules that have a high probability of later being found in plasma and start signaling processes or be useful diagnostic/prognostic markers. We used a LC−QTOF-MS metabolomic approach to analyze metabolites released by human ILT (divided into luminal and abluminal layers), aneurysm wall (AW), and healthy wall (HW). Statistical analysis was used to compare luminal with abluminal ILT layer, ILT with AW, and AW with HW to select the metabolites exchanged between tissue and external medium. Identified compounds are related to inflammation and oxidative stress and indicate the possible role of fatty acid amides in AAA. Some metabolites (e.g., hippuric acid) had not been previously associated to aneurysm, others (fatty acid amides) have arisen, indicating a very promising line of research.

Lung cancer is recently regarded as an overhealed inflammatory disease. Serum amyloid A (SAA) is known as an acute phase protein, but it is likely involved in the cancer pathogenesis. We identified both SAA1 and SAA2 in the pooled sera of lung cancer patients but not in the healthy control, by LC−MS/MS analysis. We found that about 14-fold higher levels of SAA in lung cancer patients’ sera and plasma compared to healthy controls by ELISA using total 350 samples (13.89 ± 37.18 vs 190.49 ± 234.70 ug/mL). The SAA levels were also significantly higher than in other pulmonary disease or other cancers. An immunohistochemical study using tissue microarray showed that, unlike other cancer tissues, lung cancer tissues highly express SAA. Further in vitro experiments showed that SAA is induced from lung cancer cells by the interaction with THP-1 monocytes and this, in return, induces MMP-9 from THP-1. In in vivo animal models, overexpressed SAA promoted Lewis lung carcinoma (LLC) cells to metastasize and colonize in the lung. Our data suggest that a higher concentration of SAA can serve as an indicator of lung adenocarcinoma and represents a therapeutic target for the inhibition of lung cancer metastasis.

A LC−MS based method, which utilizes both reversed-performance (RP) chromatography and hydrophilic interaction chromatography (HILIC) separations, has been carried out in conjunction with multivariate data analysis to discriminate the global serum profiles of renal cell carcinoma (RCC) patients and healthy controls. The HILIC was found necessary for a comprehensive serum metabonomic profiling as well as RP separation. The feasibility of using serum metabonomics for the diagnosis and staging of RCC has been evaluated. One-hundred percent sensitivity in detection has been achieved, and a satisfactory clustering between the early stage and advanced-stage patients is observed. The results suggest that the combination of LC−MS analysis with multivariate statistical analysis can be used for RCC diagnosis and has potential in the staging of RCC. The MS/MS experiments have been carried out to identify the biomarker patterns that made great contribution to the discrimination. As a result, 30 potential biomarkers for RCC are identified. It is possible that the current biomarker patterns are not unique to RCC but just the result of any malignancy disease. To further elucidate the pathophysiology of RCC, related metabolic pathways have been studied. RCC is found to be closely related to disturbed phospholipid catabolism, sphingolipid metabolism, phenylalanine metabolism, tryptophan metabolism, fatty acid beta-oxidation, cholesterol metabolism, and arachidonic acid metabolism.

Many efforts have been made to discover novel bio-markers for early disease detection in oncology. However, the lack of efficient computational strategies impedes the discovery of disease-specific biomarkers for better understanding and management of treatment outcomes. In this study, we propose a novel graph-based scoring function to rank and identify the most robust biomarkers from limited proteomics data. The proposed method measures the proximity between candidate proteins identified by mass spectrometry (MS) analysis utilizing prior reported knowledge in the literature. Recent advances in mass spectrometry provide new opportunities to identify unique biomarkers from peripheral blood samples in complex treatment modalities such as radiation therapy (radiotherapy), which enables early disease detection, disease progression monitoring, and targeted intervention. Specifically, the dose-limiting role of radiation-induced lung injury known as radiation pneumonitis (RP) in lung cancer patients receiving radiotherapy motivates the search for robust predictive biomarkers. In this case study, plasma from 26 locally advanced non-small cell lung cancer (NSCLC) patients treated with radiotherapy in a longitudinal 3 × 3 matched-control cohort was fractionated using in-line, sequential multiaffinity chromatography. The complex peptide mixtures from endoprotease digestions were analyzed using comparative, high-resolution liquid chromatography (LC)−MS to identify and quantify differential peptide signals. Through analysis of survey mass spectra and annotations of peptides from the tandem spectra, we found candidate proteins that appear to be associated with RP. On the basis of the proposed methodology, α-2-macroglobulin (α2M) was unambiguously ranked as the top candidate protein. As independent validation of this candidate protein, enzyme-linked immunosorbent assay (ELISA) experiments were performed on independent cohort of 20 patients’ samples resulting in early significant discrimination between RP and non-RP patients (p = 0.002). These results suggest that the proposed methodology based on longitudinal proteomics analysis and a novel bioinformatics ranking algorithm is a potentially promising approach for the challenging problem of identifying relevant biomarkers in sample-limited clinical applications.

In Western blotting, immunodetection of housekeeping proteins is routinely performed to detect differences in electrophoresis loading. The present work describes a much faster and simpler protein staining method, which is compatible with ordinary blocking conditions. In addition, the method can be used after immunodetection with superior linearity compared to ordinary staining methods. After immunoblotting and staining, protein bands can be further identified using peptide mass fingerprinting.

A major problem in the analysis of mass spectrometry-based proteomics data is the vast growth of data volume, caused by improvements in sequencing speed of mass spectrometers. This growth affects analysis times and storage requirements so severely that many analysis tools are no longer able to cope with the increased file sizes. We present a tool, RockerBox, to address size problems for search results obtained from the widely used Mascot search engine. RockerBox allows for a fast evaluation of large result files by means of a number of commonly accepted metrics that can often be viewed through charts. Moreover, result files can be filtered without altering their informative content, based on a number of FDR calculation methods. File sizes can be reduced dramatically, often to a tenth of their original size, thus relaxing the need for storage and computation power, and boosting analysis of current and future proteomics experiments.

Antibody-overlay lectin microarray (ALM) has been used for targeted glycan profiling to identify disease-related protein glycoforms. In this context, high sensitivity is desired because it allows for the identification of disease-related glycoforms that are often present at low concentrations. We describe a new tyramide signal amplification (TSA) for the antibody-overlay lectin microarray procedure for sensitive profiling of glycosylation patterns. We demonstrate that TSA increased the sensitivity of the microarray over 100 times for glycan profiling using the model protein prostate specific antigen (PSA). The glycan profile of PSA enriched from LNCAP cells, obtained at a subnanogram level with the aid of TSA, was consistent with the previous reports. We also established the glycan profile of prostate specific membrane antigen (PSMA) using the TSA and ALM. Thus, the TSA for antibody-overlay lectin microarray is a sensitive, rapid, comprehensive, and high-throughput method for targeted glycan profiling and can potentially be used for the identification of disease-related protein glycoforms.

Mascot, a database-search algorithm, is used to deduce an amino acid sequence from a peptide tandem mass spectrum. The magnitude of the Ions score associated with each peptide mostly reflects the extent of b−y ion matching in a collision-induced dissociation spectrum. Recently, several studies have reported peptides identified with abnormally low Ions scores. While a majority of the spectra in these studies may be correctly assigned, low-scoring spectra could lack discernible b−y ion fragments needed to clearly delineate a peptide sequence. It appears that low-scoring identification may be predicated primarily on judgmental parent ion mass accuracy and that justification to include such low-scoring peptides may be based on inaccurate false discovery rate modeling. It is likely that additional scientific experimentation is needed or appropriate methodologies adopted before substandard fragment ion matching can be considered proof of peptide identification.