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Arabidopsis cell wall proteome defined using multidimensional protein identification technology.

With the completion of the sequencing of the Arabidopsis genome and the recent advances in proteomic technology, the identification of proteins from highly complex mixtures is now possible. Rather than using gel electrophoresis and peptide mass fingerprinting, we have used multidimensional protein identification technology (MudPIT) to analyse the "tightly-bound" proteome for purified cell walls from Arabidopsis cell suspension cultures. Using bioinformatics for the prediction of signal peptides for targeting to the secretory pathway and for the absence of ER retention signal, 89 proteins were selected as potential extracellular proteins. Only 33% of these were identified in previous proteomic analyses of Arabidopsis cell walls. A functional classification revealed that a large proportion of the proteins were enzymes, notably carbohydrate active enzymes, peroxidases and proteases. Comparison of all the published proteomic analyses for the Arabidopsis cell wall identified 268 non-redundant genes encoding wall proteins. Sixty of these (22%) were derived from our analysis of tightly-bound wall proteins.

Arabidopsis↗

Comparative proteome analysis of subcellular fractions from Borrelia burgdorferi by NEPHGE and IPG.

Borrelia burgdorferi, the cause of Lyme disease, produces excessive amounts of membrane lipoproteins such as outer surface protein A (OspA) when grown in vitro, and consequently many low or moderately abundant proteins are underrepresented when cell lysates are examined by 2-DE. We analyzed the B. burgdorferi B31 proteome computationally and by IPG or modified NEPHGE after subcellular fractionation into membrane-associated and soluble proteins. The B. burgdorferi B31 theoretical proteome is comprised of 1623 proteins and has a mean pI of 8.36 and a median pI of 9.03 with 68% of the proteome possessing a pI >/=7.5. Separation of soluble proteins by IPG resulted in 205 individual spots and identification of 78 protein spots by MALDI-TOF MS. Separation by modified NEPHGE routinely resulted in approximately 185 soluble and 160 membrane protein spots with the identification of 88 individual protein spots combined by MALDI-TOF MS. Homologues to GroEL and aminopeptidase I were present in greater amounts in the membrane faction, with enolase at nearly equivalent amounts in the soluble and membrane fractions. Identification of proteins isolated and separated by such methods will enable future determination of proteome changes in membrane and soluble protein fractions as spirochetes adapt to their changing environments.

Bacterial Proteins↗

Proteome analysis of hepatocellular carcinoma by laser capture microdissection.

Hepatocellular carcinoma (HCC) is one of the most frequent visceral neoplasia worldwide and is a multifactorial and multistage pathogenesis that finally leads to the deregulation of cell homeostasis. Laser capture microdissection (LCM) may allow a more ready identification of differences in protein expression in selected cell types or areas of tissue, and microscopic regions as small as 3-5 microm in diameter can be sampled. Here we applied the LCM to the proteomic study of hepatitis B-related HCC and surrounding non-tumor tissues. Proteome alterations were observed using 2-DE and ESI-MS/MS, and alterations in the proteome were examined. Twenty protein spots were selected, of which 11 proteins were significantly altered in the HCC compared with the surrounding non-tumor tissues. Of the proteins that were selected, peroxiredoxin 2, apolipoprotein A-I precursor, 3-hydroxyacyl-CoA dehydrogenase type II, and 14.5-kDa translational inhibitor protein appear to be novel candidates as useful hepatitis B-related HCC markers. This study indicates that LCM is a useful technological method in the proteomic study of cancer tissue. The proteins revealed in this experiment can be used in the future for studies pertaining to hepatocarcinogenesis, or as diagnostic markers and therapeutic targets for HCC associated with hepatitis B virus infection.

Carcinoma, Hepatocellular↗

Proteomic analysis of the transition from quiescent to proliferating stages in rat liver hepatectomy model.

The 70% (or 2/3) partial hepatectomy (PHx) rat liver model provides an effective medium for study of the transition and regulation of hepatocytes from quiescent to proliferating phase. Although the gene expression pattern has come under intense scrutiny, a differential proteomic study could help to reveal the mechanism of how the process is initiated and regulated. The proteomic changes were analyzed in two groups, 7 h after 70% PHx test group and sham-operation control group, by two-dimensional gel electrophoresis with 907 +/- 33 and 910 +/- 64 spots on gels, respectively. Twelve down-regulated spots and twenty-six up-regulated spots were recognized using ImageMaster software and were identified by matrix-assisted laser desorption/ionization-mass spectrometry-quadrupole time of flight mass spectrometry and/or tandem mass spectrometry reconfirmation. Some of the differential proteins were associated with stress defense, lipid metabolism, and macromolecular biosynthesis while the others were shown to be involved in regulating transcript factors associated with liver regeneration. A "proteomic model" for liver regeneration was suggested based on our data and related scientific literature to interpret the differential proteome pattern that reflected the transition of cells from quiescent to proliferating state, including but not limited to the rat liver after 70% PHx.

Animals↗

Mapping and comprehensive analysis of the extracellular and cell surface proteome of the human pathogen Corynebacterium diphtheriae.

Secreted proteins of the human pathogen Corynebacterium diphtheriae might be involved in important pathogen-host cell interactions. Here, we present the first systematic reference map of the extracellular and cell surface proteome fractions of the type strain C. diphtheriae C7s(-)tox-. The analysis window of 2-DE covered the pI range from 3 to 10 along with a MW range from 8 to 150 kDa. Computational analysis of the 2-D gels detected almost 150 protein spots in the extracellular proteome fraction and about 80 protein spots of the cell surface proteome. MALDI-TOF-MS and PMF with trypsin unambiguously identified 107 extracellular protein spots and 53 protein spots of the cell surface, representing in total 85 different proteins of C. diphtheriae C7s(-)tox-. Several of the identified proteins are encoded by pathogenicity islands and might represent virulence factors of C. diphtheriae. Additionally, four solute-binding proteins (HmuT, Irp6A, CiuA, and FrgD) of different iron ABC transporters were identified, with the hitherto uncharacterized FrgD protein being the most abundant one of the cell surface proteome of C. diphtheriae C7s(-)tox-.

Amino Acid Sequence↗

Report on the 1st International Conference of the Hellenic Proteomics Society in Athens, Greece.

The First International Conference of the Hellenic Proteomics Society took place at the Foundation for Biomedical Research of the Academy of Athens, Athens, Greece, 22-25 May 2005. Scientists from about 20 countries attended this conference where proceedings in proteomics methodologies, advances in mass spectrometry, proteomics applications, disease diagnostics and bioinformatics were presented. The relatively small size of the meeting gave the opportunity for the attendees to interact and discuss projects and collaborations. The event was completely financed by companies which exhibited their products and services related to proteomics research.

Computational Biology↗

Proteomic changes in hearts of kyphoscoliosis (ky) mutant mice in the absence of structural pathology: implication for the analysis of early human heart disease.

Complex molecular changes associated with early stage human heart disease are poorly understood and prevent the development of effective treatments of human cardiac disease. Relatively minor structural changes in early disease may accompany some conditions such as arrhythmias. Our objective was to determine if significant proteomic changes occur in heart tissues in the absence of structural pathology. We used a proteomic "pipeline" based on Ciphergen SELDI-TOF/MS, gel electrophoresis and MALDI-TOF/MS. The kyphoscoliosis (ky) mouse carries a mutation in a putative transglutaminase causing a primary skeletal muscle disease. The ky protein is expressed usually in skeletal and cardiac muscle but its absence from the ky heart causes no structural pathology making it a good model of "occult" heart disease. We discovered 20 statistically validated biomarkers discriminating ky from normal hearts, one cardiac troponin-I was reduced by 40% in ky hearts. A 17% deficit was confirmed subsequently by Western blot. Thus, the proteome of ky hearts was abnormal, giving support to our contention that this SELDI-based analytical approach is capable of making a significant contribution to the analysis of complex proteomic changes in early stage human heart disease.

Animals↗

2-DE proteome analysis of a proliferating and differentiating human neuronal stem cell line (ReNcell VM).

The proteome of a proliferating human stem cell line was analyzed and then utilized to detect stem cell differentiation-associated changes in the protein profile. The analysis was conducted with a stable human fetal midbrain stem cell line (ReNcell VM) that displays the properties of a neural stem cell. Therefore, acquisition of proteomic data should be representative of cultured human neural stem cells (hNSCs) in general. Here we present a 2-DE protein-map of this cell line with annotations of 402 spots representing 318 unique proteins identified by MS. The subsequent proteome profiling of differentiating cells of this stem cell line at days 0, 4 and 7 of differentiation revealed changes in the expression of 49 identified spots that could be annotated to 45 distinct proteins. This differentiation-associated expression pattern was validated by Western blot analysis for transgelin-2, proliferating cell nuclear antigen, as well as peroxiredoxin 1 and 4. The group of regulated proteins also included NudC, ubiquilin-1, STRAP, stress-70 protein, creatine kinase B, glial fibrillary acidic protein and vimentin. Our results reflect the large rearrangement of the proteome during the differentiation process of the stem cells to terminally differentiated neurons and offer the possibility for further characterization of specific targets driving the stem cell differentiation.

Blotting, Western↗

Proteomic pattern-based analyses of light responses in Arabidopsis thaliana wild-type and photoreceptor mutants.

Light critically affects the physiology of plants. Using two-dimensional gel electrophoresis, we used a proteomics approach to analyze the responses of Arabidopsis thaliana to red (660 nm), far-red (730 nm) and blue (450 nm) light, which are utilized by type II and type I phytochromes, and blue light receptors, respectively. Under specific light treatments, the proteomic profiles of 49 protein spots exhibited over 1.8-fold difference in protein abundance, significant at p <0.05. Most of these proteins were metabolic enzymes, indicating metabolic changes induced by light of specific wavelengths. The differentially-expressed proteins formed seven clusters, reflecting co-regulation. We used the 49 differentially-regulated proteins as molecular markers for plant responses to light, and by developing a procedure that calculates the Pearson correlation distance of cluster-to-cluster similarity in expression changes, we assessed the proteome-based relatedness of light responses for wild-type and phytochrome mutant plants. Overall, this assessment was consistent with the known physiological responses of plants to light. However, we also observed a number of novel responses at the proteomic level, which were not predicted from known physiological changes.

Arabidopsis↗

Proteomic analysis of glutamine-treated human intestinal epithelial HCT-8 cells under basal and inflammatory conditions.

Glutamine (Gln) promotes intestinal growth and maintains gut structure and function, especially in situations of injury and during inflammation. Several mechanisms could contribute to Gln protective effects on gut. Proteomics enable us to characterize differentially expressed proteins in tissues in response to modifications of the biological or nutritional environment. Gln effects on the human intestinal epithelial HCT-8 cell line proteome were assessed under basal and proinflammatory conditions. The 2-DE gels were obtained and compared. Proteins were identified by MS and using databases. About 1200 spots were detected in both 2- and 10-mM Gln concentrations. Under basal conditions, 24 proteins were differentially expressed in response to Gln. Half of these proteins were implicated in protein biosynthesis or proteolysis and 20% in membrane trafficking. Under proinflammatory conditions, 27 proteins were up- or down-regulated by Gln 10 mM. From these proteins, 40% were involved in protein biosynthesis or proteolysis, 16% in membrane trafficking, 8% in cell cycle and apoptosis mechanisms and 8% in nucleic acid metabolism. This study provides the first holistic picture of proteome modulation by Gln in a human enterocytic cell line under basal and proinflammatory conditions, and supports further evaluation of nutritional modulation of intestinal proteome in humans.

Cell Line↗

Automation, parallelism, and robotics for proteomics.

The speed of the human genome project (Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C. et al., Nature 2001, 409, 860-921) was made possible, in part, by developments in automation of sequencing technologies. Before these technologies, sequencing was a laborious, expensive, and personnel-intensive task. Similarly, automation and robotics are changing the field of proteomics today. Proteomics is defined as the effort to understand and characterize proteins in the categories of structure, function and interaction (Englbrecht, C. C., Facius, A., Comb. Chem. High Throughput Screen. 2005, 8, 705-715). As such, this field nicely lends itself to automation technologies since these methods often require large economies of scale in order to achieve cost and time-saving benefits. This article describes some of the technologies and methods being applied in proteomics in order to facilitate automation within the field as well as in linking proteomics-based information with other related research areas.

Animals↗

Analysis of the HUPO Brain Proteome reference samples using 2-D DIGE and 2-D LC-MS/MS.

Within the Human Proteome Organization (HUPO) Brain Proteome Project, a pilot study was launched with reference samples shipped to nine international laboratories (see Hamacher et al., this Special Issue) to evaluate different proteome approaches in neuroscience and to build up a first version of a brain protein database. One part of the study addresses quantitative proteome alterations between three developmental stages (embryonic day 16; postnatal day 7; 8 weeks) of mouse brains. Five brains per stage were differentially analyzed by 2-D DIGE using internal standardization and overlapping pH gradients (pH 4-7 and 6-9). In total, 214 protein spots showing stage-dependent intensity alterations (> two-fold) were detected, 56 of which were identified. Several of them, e.g. members of the dihydropyrimidinase family, are known to be associated with brain development. To feed the HUPO BPP brain protein database, a robust 2-D LC-MS/MS method was applied to murine postnatal day 7 and human post-mortem brain samples. Using MASCOT and the IPI database, 350 human and 481 mouse proteins could be identified by at least two different peptides. The data are accessible through the PRIDE database (http://www.ebi.ac.uk/pride/).

Aging↗

Age-related proteome analysis of the mouse brain: a 2-DE study.

2-DE remains the most popular and versatile protein separation method among a rapidly growing array of various proteomics technologies. However, variability in sample processing, experimental design and data analyses results in a limited cross-validation between studies performed in different laboratories. One of the goals of the Human Proteome Organization (HUPO) is to establish standards and guidelines for proteomics studies. We contributed to the HUPO Brain Proteome Project by analyzing brains from neonatal and adult mice using 2-DE. Here we propose a standard workflow to analyze 2-DE images and extract statistically significant differences. After differential analysis and identification by MALDI-TOF/TOF, dihydropyrimidinase-related proteins, brain FABP, stathmin, isocitrate dehydrogenase, gamma enolase, annexin V, glutamine synthetase, creatine kinase B chain, triosephosphate dehydrogenase, and malate dehydrogenase were found differentially expressed between the two groups. The functions and potential mechanisms underlying the variation observed for these proteins are discussed.

Aging↗

Proteome signatures for stress and starvation in Bacillus subtilis as revealed by a 2-D gel image color coding approach.

In this paper we have defined proteome signatures of Bacillus subtilis in response to heat, salt, peroxide, and superoxide stress as well as after starvation for ammonium, tryptophan, glucose, and phosphate using the 2-D gel-based approach. In total, 79 stress-induced and 155 starvation-induced marker proteins were identified including 50% that are not expressed in the vegetative proteome. Fused proteome maps and a color coding approach have been used to define stress-specific regulons that are involved in specific adaptative functions (HrcA for heat, PerR and Fur for oxidative stress, RecA for peroxide, CymR and S-box for superoxide stress). In addition, starvation-specific regulons are defined that are involved in the uptake or utilization of alternative nutrient sources (TnrA, sigmaL/BkdR for ammonium; tryptophan-activated RNA-binding attenuation protein for tryptophan; CcpA, CcpN, sigmaL/AcoR for glucose; PhoPR for phosphate starvation). The general stress or starvation proteome signatures include the CtsR, Spx, sigmaL/RocR, sigmaB, sigmaH, CodY, sigmaF, and sigmaE regulons. Among these, the Spx-dependent oxidase NfrA was induced by all stress conditions indicating stress-induced protein damages. Finally, a subset of sigmaH-dependent proteins (sporulation response regulator, YvyD, YtxH, YisK, YuxI, YpiB) and the CodY-dependent aspartyl phosphatase RapA were defined as general starvation proteins that indicate the transition to stationary phase caused by starvation.

Bacillus subtilis↗

Hypophosphorylation of the architectural chromatin protein DEK in death-receptor-induced apoptosis revealed by the isotope coded protein label proteomic platform.

During apoptosis nuclear morphology changes dramatically due to alterations of chromatin architecture and cleavage of structural nuclear proteins. To characterize early events in apoptotic nuclear dismantling we have performed a proteomic study of apoptotic nuclei. To this end we have combined a cell-free apoptosis system with a proteomic platform based on the differential isotopic labeling of primary amines with N-nicotinoyloxy-succinimide. We exploited the ability of this system to produce nuclei arrested at different stages of apoptosis to analyze proteome alterations which occur prior to or at a low level of caspase activation. We show that the majority of proteins affected at the onset of apoptosis are involved in chromatin architecture and RNA metabolism. Among them is DEK, an architectural chromatin protein which is linked to autoimmune disorders. The proteomic analysis points to the occurrence of multiple PTMs in early apoptotic nuclei. This is confirmed by showing that the level of phosphorylation of DEK is decreased following apoptosis induction. These results suggest the unexpected existence of an early crosstalk between cytoplasm and nucleus during apoptosis. They further establish a previously unrecognized link between DEK and cell death, which will prove useful in the elucidation of the physiological function of this protein.

Animals↗

Proteomics and metabolomics: the molecular make-up of toxic aromatic pollutant bioremediation.

Microbial-mediated attenuation of toxic aromatic pollutants offers great potential for the restoration of contaminated environments in an ecologically acceptable manner. However, incomplete biological information regarding the regulation of growth and metabolism in many microbial communities restricts progress in the site-specific mineralization process. In the postgenomic era, recent advances in MS have allowed enormous progress in proteomics and elucidated many complex biological interactions. These research forefronts are now expanding toward the analysis of low-molecular-weight primary and secondary metabolites analysis, i.e., metabolomics. The advent of 2-DE in conjunction with MS offers a promising approach to address the molecular mechanisms of bioremediation. The two fields of proteomics and metabolomics have thus far worked separately to identify proteins and primary and secondary metabolites during bioremediation. A simultaneous study combining functional proteomics and metabolomics, i.e., proteometabolomics would create a system-wide approach to studying site-specific microorganisms during active mineralization processes. This article deals with advances in environmental proteomics and metabolomics and advocates the simultaneous study of both technologies to implement cell-free bioremediation.

Biodegradation, Environmental↗

Human body fluid proteome analysis.

The focus of this article is to review the recent advances in proteome analysis of human body fluids, including plasma/serum, urine, cerebrospinal fluid, saliva, bronchoalveolar lavage fluid, synovial fluid, nipple aspirate fluid, tear fluid, and amniotic fluid, as well as its applications to human disease biomarker discovery. We aim to summarize the proteomics technologies currently used for global identification and quantification of body fluid proteins, and elaborate the putative biomarkers discovered for a variety of human diseases through human body fluid proteome (HBFP) analysis. Some critical concerns and perspectives in this emerging field are also discussed. With the advances made in proteomics technologies, the impact of HBFP analysis in the search for clinically relevant disease biomarkers would be realized in the future.

Acute-Phase Proteins↗

NanoLC-FT-ICR MS improves proteome coverage attainable for approximately 3000 laser-microdissected breast carcinoma cells.

Proteomics assays hold great promise for unraveling molecular events that underlie human diseases. Effective analysis of clinical samples is essential, but this task is considerably complicated by tissue heterogeneity. Laser capture microdissection (LCM) can be used to selectively isolate target cells from their native tissue environment. However, the small number of cells that is typically procured by LCM severely limits proteome coverage and biomarker discovery potential achievable by conventional proteomics platforms. Herein, we describe the use of nanoLC-FT-ICR MS for analyzing protein digests of 3000 LCM-derived tumor cells from breast carcinoma tissue, corresponding to 300 ng of total protein. A total of 2282 peptides were identified by matching LC-MS data to accurate mass and time (AMT) tag databases that were previously established for human breast (cancer) cell lines. One thousand and three unique proteins were confidently identified with two or more peptides. Based on gene ontology categorization, identified proteins appear to cover a wide variety of biological functions and cellular compartments. This work demonstrates that a substantial number of proteins can be detected and identified from limited number of cells using the AMT tag approach, and opens doors for high-throughput in-depth proteomics analysis of clinical samples.

Breast Neoplasms↗