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The proteome of maize leaves: use of gene sequences and expressed sequence tag data for identification of proteins with peptide mass fingerprints.

As a first step in establishing a proteome database for maize, we have embarked on the identification of the leaf proteins resolved on two-dimensional (2-D) gels. We detected nearly 900 spots on the gels with a pH 4-7 gradient and over 200 spots on the gels with a pH 6-11 gradient when the proteins were visualized with colloidal Coomassie blue. Peptide mass fingerprints for 300 protein spots were obtained with matrix assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometer and 149 protein spots were identified using the protein databases. We also searched the pdbEST databases to identify the leaf proteins and verified 66% of the protein spots that had been identified using the protein databases. Sixty-seven additional protein spots were identified from expressed sequence tags (ESTs). Many abundant leaf proteins are present in multiple spots. Functions of over 50% of the abundant leaf proteins are either unknown or hypothetical. Our results show that EST databases in conjunction with peptide mass fingerprints can be used for identifying proteins from organisms with incomplete genome sequence information.

Electrophoresis, Gel, Two-Dimensional↗

Establishment of a root proteome reference map for the model legume Medicago truncatula using the expressed sequence tag database for peptide mass fingerprinting.

We have established a proteome reference map for Medicago truncatula root proteins using two-dimensional gel electrophoresis combined with peptide mass fingerprinting to aid the dissection of nodulation and root developmental pathways by proteome analysis. M. truncatula has been chosen as a model legume for the study of nodulation-related genes and proteins. Over 2,500 root proteins could be displayed reproducibly across an isoelectric focussing range of 4-7. We analysed 485 proteins by peptide mass fingerprinting, and 179 of those were identified by matching against the current M. truncatula expressed sequence tag (EST) database containing DNA sequences of approximately 105,000 ESTs. Matching the EST sequences to available plant DNA sequences by BLAST searches enabled us to predict protein function. The use of the EST database for peptide identification is discussed. The majority of identified proteins were metabolic enzymes and stress response proteins, and 44% of proteins occurred as isoforms, a result that could not have been predicted from sequencing data alone. We identified two nodulins in uninoculated root tissue, supporting evidence for a role of nodulins in normal plant development. This proteome map will be updated continuously (http://semele.anu.edu.au/2d/2d.html) and will be a powerful tool for investigating the molecular mechanisms of root symbioses in legumes.

Databases as Topic↗

Evaluation of proteome reference maps for cross-species identification of proteins by peptide mass fingerprinting.

We tested whether proteome reference maps established for one species can be used for cross-species protein identification by comparing two-dimensional protein gel patterns and protein identification data of two closely related bacterial strains and four plant species. First, proteome profiles of two strains of the fully sequenced bacterium Sinorhizobium meliloti were compared as an example of close relatedness, high reproducibility and sequence availability. Secondly, the proteome profiles of three legumes (Medicago truncatula, Melilotus alba and Trifolium subterraneum), and the nonlegume rice (Oryza sativa) were analysed to test cross-species similarities. In general, we found stronger similarities in gel patterns of the arrayed proteins between the two bacterial strains and between the plant species than could be expected from the sequence similarities. However, protein identity could not be concluded from their gel position, not even when comparing strains of the same species. Surprisingly, in the bacterial strains peptide mass fingerprinting was more reliable for species-specific protein identification than N-terminal sequencing. While peptide masses were found to be unreliable for cross-species protein identification, we present useful criteria to determine confident matching against species-specific expressed sequence tag databases. In conclusion, we present evidence that cautions the use of proteome reference maps and peptide mass fingerprinting for cross-species protein identification.

Electrophoresis, Gel, Two-Dimensional↗

Protein fingerprinting of Saccharomyces isolates with therapeutic relevance using one- and two-dimensional electrophoresis.

In therapeutic products and preparations Saccharomyces cerevisiae is used because of its nutritive properties. Moreover, so called Saccharomyces boulardii yeasts are used in the prevention and treatment of several types of diarrhea. Taxonomically however, S. boulardii is not accepted as a distinct species. The protein fingerprint obtained after sodium dodecyl sulfate-polyacrylamide gel electrophoresis was identical for all isolates and therefore confirmed the designation of S. boulardii to the species S. cerevisiae. In contrast, using native polyacrylamide gel electrophoresis, 12 different protein fingerprints were detected, and allowed grouping of the product isolates. The spot patterns obtained by two-dimensional electrophoresis revealed a large degree of resemblance, however, small qualitative expression differences could be detected as well. Firstly, a spot having an isoelectric point of approximately 6 and 30 kDa could not be detected in S. boulardii yeasts. Secondly, nine different formations of spots occurred in the region around 16 kDa and pH 6. Therefore, on the one hand, it could be demonstrated that all of the product isolates belong to the same species, and on the other hand, it was possible to extensively subdivide the strains. In particular, two-dimensional electrophoresis allowed clustering of so called S. boulardii strains within the species S. cerevisiae.

Electrophoresis, Gel, Two-Dimensional↗

Significance of lipopigments with fingerprint profiles in eccrine sweat gland epithelial cells.

Lipopigments with fingerprint profiles in eccrine sweat gland epithelial cells are regular findings in childhood NCL. They have also been described in adult NCL (ANCL) a few times, but not consistently. However, they have been considered nonspecific when not matched by similar abnormal profiles in noneccrine sweat gland epithelial cells. These conflicting reports may pose a diagnostic dilemma as outlined in the following 2 examples. Patient 1 is a 20-year-old man who developed severe tetraparesis and dementia over 2 years. Electroencephalogram was abnormal with epileptiform discharges. The patient died at age 21 years without autopsy; no other relatives are known to have a similar disease. Patient 2, a 49-year-old woman, developed ataxia and gait abnormalities when 44 years old, and, later, psychosis and dementia. The patient is still alive; no other family members are similarly affected. Both patient lacked evidence of a retinopathy clinically, funduscopically, and by electroretinography. Both patients showed lipopigments within secretory eccrine sweat gland epithelial cells which harbored unequivocal fingerprint profiles, but not within noneccrine sweat gland cells. Regular lipofuscin was observed in other cells, including skeletal muscle fibers of patient 2.

Adult↗

Peptide arrays with designed secondary structures for protein characterization using fluorescent fingerprint patterns.

To realize a practical high-throughput protein-detection system, novel peptide arrays have been constructed using designed peptide libraries with loop, alpha-helix, or beta-strand structures. Here, we describe the overview of the reported designed peptide arrays with loop and alpha-helix structures and the new results of those with beta-strand structures. Initially, several model peptides known to interact with model structured proteins were selected to establish the present strategy for high-throughput detection of proteins. The fluorescent probes and suitable scaffolds of peptides were examined for the effective detection of proteins. The detection methods were established in solution and in an immobilized manner using the model systems. In the case of alpha-helix peptide, the response of a peptide with fluorescent resonance energy transfer between two probes at both termini was several times higher than that of a peptide with a single probe. In the cases of peptides with other structures, however, proteins were effectively detectable even by the fluorescent change of one probe. Furthermore, structurally focused libraries consisting of a total of ca. 250 different peptides based on the model peptides with secondary and/or tertiary structures were constructed with systematic replacement of residues. Using these libraries, various proteins were characterized effectively to give their own fluorescent "protein fingerprint" patterns. The resulting protein fingerprints correlated with the recognition properties of the proteins. These studies demonstrate that arrays with peptide libraries based on designed structures can be promising tools for detecting the target proteins. Designed synthetic peptides play roles as the capturing agents to be developed for practical protein chips.

Amino Acid Sequence↗

Activity based fingerprinting of proteases using FRET peptides.

We have successfully developed a protease assay using fluorescence resonance energy transfer based peptide libraries, which allows not only general detection of enzymatic activities, but more importantly substrate fingerprinting of proteases from different classes. The method allows the generation of substrate fingerprints of a protease from both the nonprime and prime sites. Therefore, it is well suited for profiling of major metalloproteases such as thermolysin and MMPs. We envisage that this method will provide a useful tool in the emerging field of Catalomics for high-throughput studies of proteases.

Fluorescence Resonance Energy Transfer↗

Combinational numeral fingerprint spectra of Glycyrrhiza and analysis of common peak ratio invariableness in HPLC.

To overcome the instability of traditional Chinese medicine (TCM) fingerprint spectra (FPS) and to build up absolute identification standard of TCM, the construction method of combinational numeral fingerprint spectra (CNFPS) was set up. The analysis of invariableness based on CNFPS was carried out. It can be used as absolute quantitative standard to identify the difference of TCM samples. According to this method, the HPLC FPS of components extracted from Glycyrrhiza root samples by ethanol was analyzed. Stable results and accurate quality evaluation were obtained perfectly. The common peak ratio invariableness is an absolute standard in identifying TCM samples, which is better than the similarity method of the FPS.

Chromatography, High Pressure Liquid↗

Optimized oligonucleotide probes for DNA fingerprinting.

The three different simple repetitive oligonucleotide probes (CT)8, (CAC)5 and (TCC)5 were hybridized to a panel of human DNAs which had been digested with the restriction endonucleases Alu I, Hinf I and Mbo I. The resulting DNA fingerprints were analyzed and different parameters calculated, such as the maximal mean allele frequency and the average number of polymorphic bands per individual. The highest number of bands was obtained after hybridization of Hinf I digested DNA with (CAC)5. The probability of finding the same band pattern as in individual A in individual B is 2 x 10(-8). The DNAs of monozygous twins show indistinguishable banding patterns and the bands are inherited according to the Mendelian laws. Thus this procedure reveals informative fingerprints that can be used for individual identification, e.g. in paternity testing and in forensic applications. In most of these experiments 32P-labelled probes were employed, yet the biotinylated oligonucleotide (GACA)4 produced results which were equivalent to those obtained by hybridization with the 32P-labelled probe (GACA)4.

Blotting, Southern↗

Cytokine fingerprinting and hazard assessment of chemical respiratory allergy.

Allergic sensitization of the respiratory tract resulting in occupational asthma and other symptoms can be caused by a variety of chemicals and represents an important occupational health problem. Although there is a need to identify and characterize those chemicals that are able to cause respiratory allergy, there are currently no well validated or widely accepted predictive test methods. Some progress has been made with guinea pig assays, but our attention in this laboratory has focused instead on the development of novel approaches based on an understanding of the nature of immune responses induced in mice by chemical allergens. We have shown that whereas contact allergens provoke in mice selective type 1 immune responses, characterized by the secretion by draining lymph node cells (LNC) of high levels of the cytokine interferon gamma (IFN-gamma), chemical respiratory allergens stimulate instead preferential type 2 responses associated with comparatively high levels of interleukins 4 and 10 (IL-4 and IL-10). The divergent immune responses provoked by different classes of chemical allergens, and the phenotypes of selective cytokine secretion that characterize such responses, form the basis of a novel method-cytokine fingerprinting--that permits chemicals that have the potential to cause respiratory allergy to be identified and distinguished from those that are associated primarily with contact sensitization. In this article the immunobiological basis for cytokine fingerprinting is considered and the development, evaluation and practical application of the assay are reviewed.

Allergens↗

Applying spectral fingerprinting to the analysis of FRET images.

Förster resonance energy transfer (FRET) allows one to study interactions between two fluorescently labeled molecules (donors and acceptors) at distances on the order of 5 nm. Many studies have described methods of how to measure the efficiency of FRET. However, few have addressed the question of how fluorescence from unpaired donors and acceptors can be determined in addition to that from FRET-pairs and how the signal-to-noise ratio (SNR) of such estimates depends on the presence of the partner species. Such knowledge, however, is essential for many biological applications, in which-after initial characterization of the spectral properties of a well-defined donor-acceptor complex-the in vivo affinity and stoichiometry of the complex is of interest. Here, we provide a theoretical analysis on how spectral fingerprinting can be applied to separate fluorescence of FRET pairs from that originating from unpaired donors and acceptors and how to select imaging parameters to optimize the SNR of the estimates. Thereby, we uncover a fundamental problem in this application and discuss ways to evade its adverse consequences. We compare the expected resolution of traditional FRET measures with that of optimized spectral fingerprinting and analyze the resolution of a method for FRET measurements that combines spectral with fluorescence lifetime information.

Cells↗

Protein identification by peptide mass fingerprinting and peptide sequence tagging with alternating scans of nano-liquid chromatography/infrared multiphoton dissociation Fourier transform ion cyclotron resonance mass spectrometry.

We have developed a method for protein identification with peptide mass fingerprinting and sequence tagging using nano liquid chromatography (LC)/Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS). To achieve greater sensitivity, a nanoelectrospray (nano-ES) needle packed with reversed-phase medium was used and connected to the nano-ES ion source of the FTICR mass spectrometer. To obtain peptide sequence tag information, infrared multiphoton dissociation (IRMPD) was carried out in nano-LC/FTICR-MS analysis. The analysis involves alternating nano-ES/FTICR-MS and nano-ES/IRMPD-FTICR-MS scans during a single LC run, which provides sets of parent and fragment ion masses of the proteolytic digest. The utility of this alternating-scan nano-LC/IRMPD-FTICR-MS approach was evaluated by using bovine serum albumin as a standard protein. We applied this approach to the protein identification of rat liver diacetyl-reducing enzyme. It was demonstrated that this enzyme was correctly identified as 3-alpha-hydroxysteroid dehydrogenase by the alternating-scan nano-LC/IRMPD-FTICR-MS approach with accurate peptide mass fingerprinting and peptide sequence tagging.

Amino Acid Sequence↗

Spectral correlative chromatography and its application to analysis of chromatographic fingerprints of herbal medicines.

A signal-processing method known as spectral correlative chromatography (SCC) for two-dimensional data obtained from hyphenated chromatography is developed and applied to chemical chromatographic fingerprint data sets of herbal medicine under specific experimental conditions. The method can judge the presence or absence of a spectral correlative peak among the spectrochromatograms. A local least squares regression model (LLS) is constructed in a piecewise manner to correct the shifts of retention time of some peaks of interest in the chromatograms of various test samples. The results compare favorably with those obtained by a two-point calibrated algorithm. It is shown that performing SCC and LLS on the piecewise clusters of various chromatographic fingerprints is more helpful in practice in revealing their common nature and for characterizing the chemical constituents. This approach holds great potential for facilitating quality control of herbal medicines.

Chromatography↗

Chemical fingerprinting of Andrographis paniculata using HPLC, HPTLC and densitometry.

An attempt has been made to develop a method by which to determine the chemical fingerprint of Andrographis paniculata (Acanthaceae). High-performance thin layer chromatography (HPTLC) was used to analyse hexane, chloroform, methanol and water extracts of leaves of A. paniculata. A computerised densitometer was applied to the two-dimensional spectrographic image analysis of the HPTLC plates. An HPLC equipped with a photodiode array detector was used for the analyses of these different extracts. The analyses showed that andrographolide and neoandrographolide are absent in the hexane extract but are present in greater amounts in the methanol extract as compared with the other extracts. These chromatograms may serve as a chemical fingerprint of the drug A. paniculata for quality control purposes and in the preparation of formulations based on the drug.

Andrographis↗

A strategy to improve peptide mass fingerprinting matches through the optimization of matrix-assisted laser desorption/ionization matrix selection and formulation.

Peptide mass fingerprinting (PMF) is a powerful technique in which experimentally measured m/z values of peptides that result from a protein digest form the basis for a characteristic fingerprint of the intact protein. Due to its propensity to generate singly-charged ions, along with its relative insensitivity to salts and buffers, matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF MS) is the MS method of choice for PMF. The qualitative features of a MALDI-MS mass spectrum can be selectively tuned by varying the matrix and the solvent system used to prepare the matrix. The selective tuning of MALDI-MS mass spectra in order to optimize PMF results is addressed in this paper. Carbonic anhydrase, hemoglobin alpha- and beta-chain, and myoglobin were digested with trypsin, and the digest was analyzed with MALDI-MS. 2,5-Dihydroxybenzoic acid (2,5-DHB) and alpha-cyano-4-hydroxycinnamic acid were prepared, using five different solvent systems: (A) 99% acetone; (B) 50% acetonitrile (ACN), 0.1% trifluoroacetic acid (TFA); (C) 75% ACN, 0.1% TFA; (D) formic acid:H(2)O: 2-propanol (1:3:2); and (E) H(2)O:MeOH (2:1). Each protein was found to have a different optimum solvent system for PMF. Generally, better PMF results were obtained with 2,5-DHB. The best PMF results were obtained when all of the mass spectral data for a particular protein digest were convolved.

Amino Acid Sequence↗

Rational proteomics I. Fingerprint identification and cofactor specificity in the short-chain oxidoreductase (SCOR) enzyme family.

The short-chain oxidoreductase (SCOR) family of enzymes includes over 2000 members identified in sequenced genomes. Of these enzymes, approximately 200 have been characterized functionally, and the three-dimensional crystal structures of approximately 40 have been reported. Since some SCOR enzymes are involved in hypertension, diabetes, breast cancer, and polycystic kidney disease, it is important to characterize the other members of the family for which the biological functions are currently unknown. Although the SCOR family appears to have only a single fully conserved residue, it was possible, using bioinformatics methods, to determine characteristic fingerprints composed of 30-40 residues that are conserved at the 70% or greater level in SCOR subgroups. These fingerprints permit reliable prediction of several important structure-function features including NAD/NADP cofactor preference. For example, the correlation of aspartate or arginine residues with NAD or NADP binding, respectively, predicts the cofactor preference of more than 70% of the SCOR proteins with unknown function. The analysis of conserved residues surrounding the cofactor has revealed the presence of previously undetected CH em leader O hydrogen bonds in the majority of the SCOR crystal structures, predicts the presence of similar hydrogen bonds in 90% of the SCOR proteins of unknown function, and suggests that these hydrogen bonds may play a critical role in the catalytic functions of these enzymes.

Amino Acid Sequence↗

Crystal structures of E. coli CcmG and its mutants reveal key roles of the N-terminal beta-sheet and the fingerprint region.

CcmG, also designated DsbE, functions as a periplasmic protein thiol:disulfide oxidoreductase and is required for cytochrome c maturation. Here we report the crystal structures of Escherichia coli CcmG and its two mutants, P144A and the N-terminal fifty seven-residue deletion mutant, and two additional deletion mutants were studied by circular dichroism. Structural comparison of E. coli CcmG with its deletion mutants reveals that the N-terminal beta-sheet is essential for maintaining the folding topology and consequently maintaining the active-site structure of CcmG. Pro144 and Glu145 are key residues of the fingerprint region of CcmG. Pro144 is in cis-configuration, and it makes van der Waals interactions with the active-site disulfide Cys80-Cys83 and forms a C--H...O hydrogen bond with Thr82, helping stabilize the active-site structure. Glu145 forms a salt-bridge and hydrogen-bond network with other residues of the fingerprint region and with Arg158, further stabilizing the active-site structure. The cis-configuration of Pro144 makes the backbone nitrogen and oxygen of Ala143 exposed to solvent, favorable for interacting with binding partners. The key role of cis-Pro144 is verified by the P144A mutant, which contains trans-Ala144 and displays redox property changes. Structural comparison of E. coli CcmG with the recently reported structure of CcmG in complex with the N-terminal domain of DsbD reveals that Tyr141 undergoes conformational changes upon binding DsbD. A cis-proline located at the N-terminus of the first beta-strand of the betabetaalpha motif of the thioredoxin-like domain is a conserved structural feature of the thioredoxin superfamily.

Amino Acid Sequence↗

Peptide dynamic fingerprints: a tool for investigating the role of conformational flexibility for GLP-1 analogs affinity.

Glucagon-like peptide-1 (GLP-1) is a 30-residue peptide implicated in short-term appetite regulation. Its analogs are presumed to be potential drugs against obesity and non-insulin dependent diabetes mellitus (NIDDM or type 2 diabetes). This study examined how the dynamic fingerprints can be used for establishing dynamics-activity relationships in a series of peptides for which the mechanism of action is unknown and in which mutations can cause an increase or decrease in biological activity. The 3D autocorrelation method was used to generate maps of both active and inactive analogs. As the active conformation of GLP-1 is not yet clearly defined, the dynamic fingerprints of peptides in an aqueous environment were compared to explain the high affinity of the peptide for its receptor. The suggestion that the peptide could bind to the receptor in a folded conformation has been examined. In the case of the GLP-1 analogs, it was shown that the folding tendency cannot be directly related to affinity values and the results do not favor a folded active conformation model of GLP-1.

Animals↗