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Use of genome information for the study of the pathogenesis of fungal infections and the development of diagnostic tools.

One of the most exciting advances in Mycology is the application of genomic approaches. The advent of genomics, together with post-genomic studies, promises to revolutionize the studies on the pathogenesis of fungal infections. Approaches include comparative genomics to identify sequences that contribute to infection and disease and functional genomics and proteomics to analyze global patterns of gene and protein expression involved in fungal pathogenesis.

DNA, Fungal↗

Comparison of a Salmonella typhimurium proteome defined by shotgun proteomics directly on an LTQ-FT and by proteome pre-fractionation on an LCQ-DUO.

Shotgun proteomics is rapidly becoming one of the most efficient and popular tools to examine protein expression in cells. Numerous laboratories now have a wide array of low- and high-performance mass spectrometry instrumentation necessary to complete proteome-wide projects. Often these laboratories have time and financial constraints that prohibit all projects from being conducted on high-performance state-of-the-art mass spectrometers. Here, we compare shotgun proteomic results using a direct 'lyse, digest and analyse' approach on a high-performance mass spectrometer (i.e. the LTQ-FT) with the results from a much lower-performance instrument (i.e. the LCQ-DUO) where, for the latter, various traditional protein pre-fractionation steps and gas-phase fractionation were used to increase the proteome coverage. Our results demonstrate that shotgun proteomic analyses conducted on the lower-performance LCQ-DUO mass spectrometer could adequately characterize a PhoP constitutive strain of Salmonella typhimurium if proteome pre-fractionation steps and gas-phase fractionation were included.

Chromatography, High Pressure Liquid↗

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.

Blood Proteins↗

Use of targeted glycoproteomics to identify serum glycoproteins that correlate with liver cancer in woodchucks and humans.

Chronic infection with hepatitis B virus (HBV) is associated with the majority of hepatocellular carcinoma (HCC). The diagnosis of HCC is usually made in the late stages of the disease, when treatment options are limited and prognosis is poor. We therefore have developed a method of glycoproteomic analysis in an attempt to discover serum markers that can assist in the early detection of HBV-induced liver cancer. Briefly, a comparative method for analysis of oligosaccharides released from serum glycoproteins and for recovery and identification of proteins with aberrant glycosylation, as a function of cancer diagnosis, is described. The model we have used is the woodchuck (Marmota monax), which shares similarities in the glycosylation pattern associated with liver proteins in human HCC. In this report, we show that woodchucks diagnosed with HCC have dramatically higher levels of serum-associated core alpha-1,6-linked fucose, as compared with woodchucks without a diagnosis of HCC. The coupling of this methodology with 2D gel proteomics has permitted the identification of several glycoproteins with altered glycosylation as a function of cancer. One such glycoprotein, Golgi Protein 73 (GP73), was found to be elevated and hyperfucosylated in animals with HCC. Further, the study showed GP73 to be elevated in the serum of people with a diagnosis of HCC, providing a validation of our approach. The potential of this technology for biomarker discovery and the implications of increased levels of GP73 in liver cancer are discussed.

Animals↗

Characterization of extracellular proteins produced by Aeromonas hydrophila AH-1.

Aeromonas hydrophila is a ubiquitous Gram-negative bacterium which can cause motile aeromonad septicemia in both fish and humans. A. hydrophila secretes many extracellular proteins associated with pathogenicity and environmental adaptability. In this study, an extracellular proteome map of A. hydrophila AH-1 was constructed. The major extracellular virulence factors were characterized by comparing the proteomes of various deletion mutants with that of the wild type. The results suggested that serine protease was involved in the processing of a toxin and secreted enzymes such as hemolysin, glycerophospholipid-cholesterol acyltransferase and metalloprotease. We also showed that expressions of polar and lateral flagellins were under the control of temperature, FlhA, LafK, and RpoN. In addition, three novel proteins (potential effector proteins including one ExoT-like protein) were revealed to be secreted via the type III secretion system (TTSS) of A. hydrophila AH-1. Another novel finding was the demonstration of a crosstalk between the lateral flagellar system and the TTSS in A. hydrophila. These results showed that proteomics is a powerful tool for characterizing virulence factors. The construction of proteome maps will provide a valuable means of finding potential candidates for developing suitable diagnostics and therapeutics for this emerging pathogen.

Aeromonas hydrophila↗

Proteomics of the Drosophila immune response.

Completion of the Drosophila genome has enabled the use of proteomic approaches for studying complex processes such as the innate immune defense against microorganisms. Microbial infection leads to the activation of responses involving changes at translational and post-translational levels. Proteomics is a tool for assessing such changes in protein expression, localization and post-translational modification. Recently, several studies have reported whole-genome analyses of the Drosophila immune response, both at the transcriptome and proteome levels, leading to a more comprehensive view of fly immunity. In this review, we describe and compare the proteomic techniques used in these analyses and discuss the results obtained by differential protein profiling of the Drosophila immune response.

Animals↗

The proteome of the bacterium Mycoplasma pneumoniae: comparing predicted open reading frames to identified gene products.

An existing proteome map of the bacterium Mycoplasma pneumoniae comprising proteins from 224 genes was extended to 305 genes. This corresponds to about 44% of the 688 proposed genome sequence derived open reading frames (ORFs). The newly assigned gene products were enriched, separated by one-dimensional or two-dimensional (2-D) gel electrophoresis and identified by mass spectrometry. The enrichment procedures included differential centrifugation, anion and cation exchange chromatography, affinity chromatography with heparin as a ligand and isolation of biotinylated proteins by binding to immobilized streptavidin. A comparative analysis of the identified proteins from 305 genes with the as yet unverified 383 ORFs concerning isoelectric point, molecular weight and number of transmembrane segments revealed that proteins with more than three predicted transmembrane segments and an isoelectric point above 10.5 are most likely not to be separated by 2-D gel electrophoresis. The mutual benefits of genomics and proteomics were shown by the identification of a todate unannotated 128 amino acid long protein.

Amino Acid Sequence↗

Proteomic profiling of cerebrospinal fluid identifies biomarkers for amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is characterized by degeneration of motor neurons. We tested the hypothesis that proteomic analysis will identify protein biomarkers that provide insight into disease pathogenesis and are diagnostically useful. To identify ALS specific biomarkers, we compared the proteomic profile of cerebrospinal fluid (CSF) from ALS and control subjects using surface-enhanced laser desorption/ionization-time of flight mass spectrometry (SELDI-TOF-MS). We identified 30 mass ion peaks with statistically significant (p < 0.01) differences between control and ALS subjects. Initial analysis with a rule-learning algorithm yielded biomarker panels with diagnostic predictive value as subsequently assessed using an independent set of coded test subjects. Three biomarkers were identified that are either decreased (transthyretin, cystatin C) or increased (carboxy-terminal fragment of neuroendocrine protein 7B2) in ALS CSF. We validated the SELDI-TOF-MS results for transthyretin and cystatin C by immunoblot and immunohistochemistry using commercially available antibodies. These findings identify a panel of CSF protein biomarkers for ALS.

Adult↗

Comparative immunopeptidomics of humans and their pathogens.

Major histocompatibility complex class I molecules present peptides of 8-10 residues to CD8+ T cells. We used 19 predicted proteomes to determine the influence of CD8+ T cell immune surveillance on protein evolution in humans and microbial pathogens by predicting immunopeptidomes, i.e., sets of class I binding peptides present in proteomes. We find that class I peptide binding specificities (i) have had little, if any, influence on the evolution of immunopeptidomes and (ii) do not take advantage of biases in amino acid distribution in proteins other than the concentration of hydrophobic residues in NH(2)-terminal leader sequences.

Animals↗

Stable isotope-coded proteomic mass spectrometry.

Developing the ability to quantify changes in protein abundance between cells subjected to a variety of physiological and environmental conditions is an extremely active area of proteome research. Although advances in chromatography, mass spectrometry instrumentation, and bioinformatics have contributed to producing a viable method for comparative proteome-wide analyses, the highest precision of quantitation is based, in part, upon improved methods for chemical and metabolic stable isotope labeling of proteins and peptides. The ability to quantify differences in protein expression and post-translational modifications using stable isotope labeling has been achieved, but insights into the biochemical mechanisms that will contribute to the development of new biotechnologies have yet to be realized.

Affinity Labels↗

Proteomic analysis revealed a strong association of a high level of alpha1-antitrypsin in gastric juice with gastric cancer.

To investigate the pathology of gastric disorders, we compared the proteomic patterns of gastric juice from patients with various gastric disorders. In healthy subjects pepsin A, pepsin B and gastric lipase were the major proteins detected by two-dimensional gel electrophoresis. These digestive enzymes were not detected in 60% of gastric cancer cases (18 out of 30 analyzed cases). Interestingly, an extraordinary amount of alpha(1)-antitrypsin was observed in these cases. In contrast to gastric cancer cases, alpha(1)-antitrypsin was detected in only 5% of patients (three out of 56) with chronic atrophic gastritis, and the detection frequency went up as the disease developed (one of four intestinal metaplasia cases, two of seven tubular adenoma cases, a single examined case of hyperplastic polyp and 60% of gastric cancer). Zymography showed that a 60 kDa protease strongly associated with alpha(1)-antitrypsin and mass spectrometric analysis revealed that the gastric alpha(1)-antitrypsin was a protease-cleaved form. Our data suggest that alpha(1)-antitrypsin and 60 kDa protease may serve as good diagnostic and prognostic markers for conditions associated with gastric cancer.

Amino Acid Sequence↗

Expression proteomics to p53 mutation reactivation with PRIMA-1 in breast cancer cells.

PRIMA-1 has emerged as a small molecule that restores the wild type function to mutant p53. To identify molecular targets that are involved in PRIMA-1-induced apoptosis, we used a proteomics approach with two-dimensional gel electrophoresis coupled with liquid chromatography-tandem mass spectrometry for protein identification. By comparing the proteome of the PRIMA-1-treated MDA-231 breast carcinoma cells with that of MCF-7 cells, we have identified seven proteins that upregulated only in MDA-231 cells as a result of PRIMA-1-induced apoptosis. The identified proteins are involved in anaerobic glycolysis and in mitochondrial intrinsic apoptosis. Treatment of MDA-231 cells with PRIMA-1 resulted in the release of mitochondrial cytochrome c as well as the activation of caspase-3, which are essential for the execution of apoptosis. We present evidence to suggest that PRIMA-1-induced apoptosis in breast cancer cells with mutated p53 function involved the expression of proteins required for the activation of mitochondrial intrinsic pathway that is glycolysis-relevant.

Aza Compounds↗

Mass spectrometry-based proteomics turns quantitative.

The field of proteomics is built on technologies to analyze large numbers of proteins--ideally the entire proteome--in the same experiment. Mass spectrometry (MS) has been successfully used to characterize proteins in complex mixtures, but results so far have largely been qualitative. Two recently developed methodologies offer the opportunity to obtain quantitative proteomic information. Comparing the signals from the same peptide under different conditions yields a rough estimate of relative protein abundance between two proteomes. Alternatively, and more accurately, peptides are labeled with stable isotopes, introducing a predictable mass difference between peptides from two experimental conditions. Stable isotope labels can be incorporated 'post-harvest', by chemical approaches or in live cells through metabolic incorporation. This isotopic handle facilitates direct quantification from the mass spectra. Using these quantitative approaches, precise functional information as well as temporal changes in the proteome can be captured by MS.

Base Sequence↗

Proteome analysis of dermal fibroblasts cultured in vitro from human healthy subjects of different ages.

Aging is a complex multifactorial process still far from being completely understood. The aim of the present study was to compare the proteome of in vitro cultured dermal fibroblasts from healthy subjects of different ages (i.e. 15 +/- 2, 41 +/- 4 and 82 +/- 3 years old). Proteins of the cell layer were separated by two-dimensional electrophoresis and protein identification was performed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry; moreover, synthetic gels were qualitatively and quantitatively analyzed by Melanie 3 software. Our study did not reveal any protein typical of any one age group. On the other hand, we observed 38 proteins exhibiting more than three-fold reproducible variations with aging, some (45%) being reduced such as F-actin capping protein alpha1, proteasome subunit alpha type 3, heat shock protein 27, ubiquitin carboxyl-terminal hydrolase isozyme L1, mitochondrial thioredoxin-dependent peroxide reductase, cathepsin B, glutathione S-transferase P, cyclophilin A and calgizzarin. In contrast, T-complex protein 1, probable protein disulfide isomerase ER60, phosphoglycerate kinase 1, Ran-specific GTPase-activating protein, proteasome subunit alpha type 5, triosephosphate isomerase and superoxide dismutase (Mn) increased with age. Furthermore, annexin 1, elongation factor 1beta, proteasome activator complex subunit 1, phosphoglycerate mutase, superoxide dismutase (Cu-Zn) and cofilin, exhibited the highest levels in adult cells; whereas, septin 2 homolog, RNA-binding protein regulatory subunit and ATP synthase D chain revealed the lowest values in adults. The present investigation, underlining the complexity of the aging process, highlights the role of synthetic and degradative pathways in modulating the whole cell machinery and emphasizes that metabolic impairment with age could depend partly on different expression of a number of genes and leading to an imbalance among functional proteins.

Adolescent↗

Differential expression proteomics of human colon cancer.

The focus of this study was to use differential protein expression to investigate operative pathways in early stages of human colon cancer. Colorectal cancer represents an ideal model system to study the development and progression of human tumors, and the proteomic approach avoids overlooking posttranslational modifications not detected by microarray analyses and the limited correlation between transcript and protein levels. Colon cancer samples, confined to the intestinal wall, were analyzed by expression proteomics and compared with matched samples from normal colon tissue. Samples were processed by two-dimensional gel electrophoresis, and spots differentially expressed and consistent across all patients were identified by matrix-assisted laser desorption ionization-time-of-flight mass spectrometry analyses and by Western blot analyses. After differentially expressed proteins and their metabolic pathways were analyzed, the following main conclusions were achieved for tumor tissue: 1) a shift from beta-oxidation, as the main source of energy, to anaerobic glycolysis was observed owed to the alteration of nuclear- versus mitochondrial-encoded proteins and other proteins related to fatty acid and carbohydrate metabolism; 2) lower capacity for Na(+) and K(+) cycling; and 3) operativity of the apoptosis pathway, especially the mitochondrial one. This study of the human colon cancer proteome represents a step toward a better understanding of the metabolomics of colon cancer at early stages confined to the intestinal wall.

Adenocarcinoma↗

Plasma proteomics of lung cancer by a linkage of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis.

To investigate aberrant plasma proteins in lung cancer, we compared the proteomic profiles of serum from five lung cancer patients and from four healthy volunteers. Immuno-affinity chromatography was used to deplete highly abundant plasma proteins, and the resulting plasma samples were separated into eight fractions by anion-exchange chromatography. Quantitative protein profiles of the fractionated samples were generated by two-dimensional difference gel electrophoresis, in which the experimental samples and the internal control samples were labeled with different dyes and co-separated by two-dimensional polyacrylamide gel electrophoresis. This approach succeeded in resolving 3890 protein spots. For 364 of the protein spots, the expression level in lung cancer was more than twofold different from that in the healthy volunteers. These differences were statistically significant (Student's t-test, p-value less than 0.05). Mass spectrometric protein identification revealed that the 364 protein spots corresponded to 58 gene products, including the classical plasma proteins and the tissue-leakage proteins catalase, clusterin, ficolin, gelsolin, lumican, tetranectin, triosephosphate isomerase and vitronectin. The combination of multi-dimensional liquid chromatography and two-dimensional difference gel electrophoresis provides a valuable tool for serum proteomics in lung cancer.

Blotting, Western↗

Nucleocytoplasmic O-glycosylation: O-GlcNAc and functional proteomics.

The molecular complexity that defines different cell types and their biological responses occurs at the level of the cell's proteome. The recent increase in availability of genomic sequence information is a valuable tool for the field of proteomics. While most proteomic studies focus on differential expression levels, post-translational modifications such as phosphorylation, glycosylation, and acetylation, provide additional levels of functional complexity to the cell's proteome. The reversible post-translational modification O-linked beta-N-acetylglucosamine (O-GlcNAc) is found on serines and threonines of nuclear and cytoplasmic proteins. It appears to be as widespread as phosphorylation. While phosphorylation is recognized as a fundamental mechanism for controlling protein function, less is known about the specific roles of O-GlcNAc modification. However, evidence is building that O-GlcNAc may compete with phosphate at some sites of attachment. Aberrant O-GlcNAc modification has been linked to several disease states, including diabetes and Alzheimer's disease. Regulated enzymes catalyzing the addition (O-GlcNAc transferase, OGT) and removal (O-GlcNAcase) of the modification have been cloned and OGT is required for life at the single cell level. Here we review the properties of O-GlcNAc that suggest it is a regulatory modification analogous to phosphorylation. We also discuss the use of comparative functional proteomics to elucidate functions for this ubiquitous intracellular carbohydrate modification.

Acetylglucosamine↗

[Early detection of pancreatic cancer by novel proteomic technique].

Pancreatic cancer is the fifth leading cause of cancer-related mortality in Japan. Early detection in pancreatic cancer is one of the most feasible strategies to improve outcome. We compared plasma proteome between pancreatic cancer patients and healthy controls using surface-enhanced laser desorption/ionization coupled with hybrid quadrupole time-of-flight mass spectrometry. Proteomic spectra were generated from a total of 245 plasma samples obtained from two institutes. A discriminating proteomic pattern was built from training cohort using machine learning algorithm and was applied two validation cohorts. This set discriminating cancer patients in the first validation cohort with a sensitivity of 90.9% and a specificity of 91.9%, and was further validated in an independent cohort at a second institution. When combined with CA19-9, 100% tumor of pancreatic cancers, including early stage tumors, were detected. In this report, we describe a possible detection of early pancreatic cancer using novel proteomic technique.

Biomarkers, Tumor↗