Multivariate classification of histochemically stained human skeletal muscle fibres by the SIMCA method

Summary The SIMCA (soft independent modelling of class analogy) method of pattern recognition has been used to classify four muscle fibre types: I, IIA, IIB and IIC. The samples were histochemically stained human skeletal sections from biopsy material. Disjoint (separate) class modelling gave information about variables, i.e., the combinations of alkaline, acidic and Ca²⁺-containing preincubation procedures with appropriate discrimination power, and showed satisfactory separation of the classes (fibre types). Two serial stained muscle sections represent a minimum for a proper classification of the four fibre groups. A comparison of biopsy samples from two different persons showed significant variation in the data structure between similar fibre types, probably caused by intermuscle variations. It is suggested that the introduction of computer-assisted classification by the application of such multivariate analytical techniques both facilitates the classification of muscle fibres and improves the precision and reliability of fibre typing.     

Balance study in asymptomatic subjects: Determination of significant variables and reference patterns to improve clinical application

Postural control is essential when carrying out everyday activities and its possible disorders have a very significant impact on personal autonomy. To provide the means to accurately measure postural control in the clinical environment, this study checks and discusses the suitability of procedures for a new balance assessment system with a stabilometric platform (MoveHuman-Dyna © UZ-IDERGO), which meets the criteria of clinical stabilometric standardisation established by the International Society for Posture and Gait Research (ISPGR) at the Bologna meeting (2009). The study was applied to a sample of 30 healthy volunteers (12 women, 18 men) aged between 18 and 30 years. A total of six balance tests were performed: four variations of the Romberg test, one test for a study of the limits of stability (LoS) and one test for rhythmic weight shift (RWS). Analysis of the results confirms that the variables assessed yielded similar values to other studies, the consistency of values between tests was checked, and preliminary reference values were obtained for asymptomatic subjects. We propose the following variables as the most significant for balance diagnosis: CoP mean speed, RMS, Range of CoP displacement and area. As a result of the study, the system is considered of interest in the medical/legal and forensic settings to assess the balance control and degree of collaboration during the tests.     

A chemotaxonomic method for classification of asymmetric penicillia by means of cross-partition in aqueous two-phase systems combined with SIMCA pattern recognition analysis

Conidia of three strains each of three closely related Penicillium species in the P. viridicatum group were subjected to cross-partition in aqueous polymer two-phase systems. The cross-point values, the percentage of conidia in the upper phases at the cross-point and at certain pH values, together with growth-rate measurements on different culture media were determined and statistically treated using a multivariate classification computer program (SIMCA). The results showed that the different species were well separated, corresponding with the characterization based on mycotoxin production. Moreover, the various strains grouped well within the species. The number of culture media, and thereby the number of variables used in the analysis, could be reduced without changing the separation properties.     

Evaluation of the possible proteomic application of trypsin from Streptomyces griseus

Trypsin (EC 3.4.21.4) is the protease of choice for proteome analysis using mass spectrometry of peptides in sample digests. In this work, trypsin from Streptomyces griseus (SGT) was purified to homogeneity from pronase. The enzyme was evaluated in in-gel digestion of protein standards followed by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry (MS) analyses of the digests. We recognized a remarkable cleavage performance of SGT. The number of produced and matching tryptic peptides was higher than in the case of commonly used bovine trypsin (BT) and allowed us to obtain higher identification scores in database searches. Interestingly, SGT was found to also generate nonspecific peptides whose sequencing by MALDI-TOF/TOF tandem mass spectrometry (MS/MS) revealed a partial F-X, Y-X, and W-X cleavage specificity. To suppress autolysis, either arginine or arginine plus lysine residues in SGT were modified by chemical reagents. In consequence, the autolytic pattern of SGT was reduced significantly, but specific activity dropped dramatically. As demonstrated by relative quantification of peptides at different times, SGT is more stable at 37 °C than is its bovine counterpart. We conclude that SGT represents a convenient alternative for proteomic applications involving protein digestion. Moreover, parallel digestions of sample aliquots by SGT and BT provide the possibility of combining partially different results (unique matching peptides) to improve protein identification.     

Evaluation of the application of sodium deoxycholate to proteomic analysis of rat hippocampal plasma membrane

Detergents have been widely used for the solubilization of membrane proteins and the improvement of their digestion. In this paper, we have evaluated the application of sodium deoxycholate (SDC) to the solubilization and digestion of rat hippocampal plasma membrane (PM) proteins. For in-solution digestion, rat hippocampal PM fraction from sucrose-density gradient centrifugation was solubilized by boiling in 1.0% SDC, and directly digested without dilution. During the in-gel digestion of the hippocampal PM proteins separated by SDS-PAGE, 0.1% SDC was added. Before analysis of peptide mixture by liquid chromatography and electrospray mass spectrometry, SDC in the tryptic digests was removed by centrifugation following acidification. Use of 1.0% SDC in solubilization and in-solution digestion of rat PM proteins had led to 77 PM or membrane-associated proteins identified, a more than 2-fold increase over that by use of SDS. The addition of 0.1% SDC to the in-gel digestion of SDS-PAGE-resolved membrane proteins remarkably enhanced the coverage of tryptic peptides and the number of hydrophobic membrane proteins identified. Being a cheaper and more tractable acid-insoluble detergent, SDC could be used at higher concentration in the solubilization and tryptic digestion of proteins including PM proteins with the purpose of enhancing the protein solubility and at the same time making no interference with trypsin activity and subsequent analyses.     

The application of SSRs characterized for grape (Vitis vinifera) to conservation studies in Vitaceae

The use of microsatellite loci developed from a single plant species across a number of related taxa is becoming increasingly widespread. This approach can provide highly informative markers even for species for which microsatellites have not been characterized. As a number of expressed sequence tag (EST)-derived and enrichment-derived microsatellites are available for grape (Vitis vinifera), this study set out to assess transferability of nine such loci across 25 species from five different Vitaceae genera. Intergeneric transfer success in Vitaceae was high (51.1%) and EST-derived loci performed better than enrichment-derived loci. Six loci were further tested across two Australian native species, Cissus hypoglauca and C. sterculiifolia, in order to assess the conservation of microsatellite repeats and their flanking sequences. Polymorphism of these selected loci was successfully tested for each species across a small, isolated rain forest population from northern New South Wales (Australia). Results from this preliminary investigation suggest that it is possible to use grape-derived simple sequence repeats (SSR) loci for population studies on Vitaceae. As Vitaceae are an important component of rain forest flora, the availability of such highly informative loci will be beneficial to future studies aimed at determining the genetic consequences of rain forest fragmentation.     

An optimization method for the identification of minimal sets of discriminating gene markers: application to cultivar identification in wheat

A potentially large number of molecular markers are available for identifying genotypes in various species. For wheat, cultivar identity is an important determinant for end-use segregation and for payment of end-point royalties and grower premiums. A number of dominant DNA markers, that give either a positive or negative response, have been developed previously for wheat cultivar identification. This paper gives a method for identifying minimal marker sets for a given cultivar group, for example those grown in a specific geographical zone. It is based on an integer linear programming formulation of the problem, and can find all minimal marker sets for the group if required. The paper then describes the production of two software packages, GGDS and GGIP, that incorporate this methodology. Various practical issues are also discussed. These packages enable the rapid selection of minimal marker sets for the efficient discrimination of any sample set where the marker responses of the samples are known. They are already being used by the Australian wheat industry.     

Quantification of cysteinyl S-nitrosylation by fluorescence in unbiased proteomic studies

Cysteinyl S-nitrosylation has emerged as an important post-translational modification affecting protein function in health and disease. Great emphasis has been placed on global, unbiased quantification of S-nitrosylated proteins because of physiologic and oxidative stimuli. However, current strategies have been hampered by sample loss and altered protein electrophoretic mobility. Here, we describe a novel quantitative approach that uses accurate, sensitive fluorescence modification of cysteine S-nitrosylation that leaves electrophoretic mobility unaffected (SNOFlo) and introduce unique concepts for measuring changes in S-nitrosylation status relative to protein abundance. Its efficacy in defining the functional S-nitrosoproteome is demonstrated in two diverse biological applications: an in vivo rat hypoxia-ischemia/reperfusion model and antimicrobial S-nitrosoglutathione-driven transnitrosylation of an enteric microbial pathogen. The suitability of this approach for investigating endogenous S-nitrosylation is further demonstrated using Ingenuity Pathways analysis that identified nervous system and cellular development networks as the top two networks. Functional analysis of differentially S-nitrosylated proteins indicated their involvement in apoptosis, branching morphogenesis of axons, cortical neurons, and sympathetic neurites, neurogenesis, and calcium signaling. Major abundance changes were also observed for fibrillar proteins known to be stress-responsive in neurons and glia. Thus, both examples demonstrate the technique's power in confirming the widespread involvement of S-nitrosylation in hypoxia-ischemia/reperfusion injury and in antimicrobial host responses.     

Application of the random forest classification method to peaks detected from mass spectrometric proteomic profiles of cancer patients and controls

The random forest classification method was applied to classify samples from 76 breast cancer patients and 77 controls whose proteomic profile had been obtained using mass spectrometry. The analysis consisted of two stages, the detection of peaks from the profiles and the construction of a classification rule using random forests. Using a peak detection method based on finding common local maxima in the smoothed sample spectra, 444 peaks were detected, reducing to 365 robust peaks found in at least 7 out of 10 random subsets of samples. Subjects were classified as cases or controls using the random forest algorithm applied to the 365 peaks. Based on the prediction of the status of out-of-bag samples, the total error rate was 16.3%, with a sensitivity of 81.6% and a specificity of 85.7%. Measures of importance of each of the peaks were calculated to identify regions of the spectrum influencing the classification, and the four most important peaks were identified as mz3863_13, mz2943_12, mz3193_44 and mz8925_94. Combining initial peak detection with the random forest algorithm provides a high-performance classification system for proteomic data, with unbiased estimates of future performance.     

Mapping hidden potential identity elements by computing the average discriminating power of individual tRNA positions

The recently published discrete mathematical method, extended consensus partition (ECP), identifies nucleotide types at each position that are strictly absent from a given sequence set, while occur in other sets. These are defined as discriminating elements (DEs). In this study using the ECP approach, we mapped potential hidden identity elements that discriminate the 20 different tRNA identities. We filtered the tDNA data set for the obligatory presence of well-established tRNA features, and then separately for each identity set, the presence of already experimentally identified strictly present identity elements. The analysis was performed on the three kingdoms of life. We determined the number of DE, e.g. the number of sets discriminated by the given position, for each tRNA position of each tRNA identity set. Then, from the positional DE numbers obtained from the 380 pairwise comparisons of the 20 identity sets, we calculated the average excluding value (AEV) for each tRNA position. The AEV provides a measure on the overall discriminating power of each position. Using a statistical analysis, we show that positional AEVs correlate with the number of already identified identity elements. Positions having high AEV but lacking published identity elements predict hitherto undiscovered tRNA identity elements.     

Specific proteomic adaptation to distinct environments in Vibrio parahaemolyticus includes significant fluctuations in expression of essential proteins

Bacteria constantly experience changes to their external milieu and need to adapt accordingly to ensure their survival. Certain bacteria adapt by means of cellular differentiation, resulting in the development of a specific cell type that is specialized for life in a distinct environment. Furthermore, to understand how bacteria adapt, it is essential to appreciate the significant changes that occur at the proteomic level. By analysing the proteome of our model organism Vibrio parahaemolyticus from distinct environmental conditions and cellular differential states, we demonstrate that the proteomic expression profile is highly flexible, which likely allows it to adapt to life in different environmental conditions and habitats. We show that, even within the same swarm colony, there are specific zones of cells with distinct expression profiles. Furthermore, our data indicate that cell surface attachment and swarmer cell differentiation are distinct programmes that require specific proteomic expression profiles. This likely allows V. parahaemolyticus to adapt to life in different environmental conditions and habitats. Finally, our analyses reveal that the expression profile of the essential protein pool is highly fluid, with significant fluctuations that dependent on the specific life-style, environment and differentiation state of the bacterium.     

Diversity of Archaea in hypersaline environments characterized by molecular-phylogenetic and cultivation studies

The diversity of Archaea from three different hypersaline environments was analyzed and compared by polymerase chain reaction (PCR)-based molecular phylogenetic techniques and cultivation approaches. The samples originated from a crystallization pond of a solar saltern in Spain (FC); an alkaline lake in Nevada, USA, (EMF); and a small pond from a slag heap of a potassium mine in Germany (DIE). Except for two 16S rDNA sequences that were related to crenarchaeota from soil and did not apparently belong to the indigenous halophilic community, all sequences recovered from environmental DNA or cultivated strains grouped within the Halobacteriaceae. Mostly 16S rDNA sequences related to the genera Halorubrum and Haloarcula were detected in sample FC, and organisms belonging to these genera were also recovered by cultivation. In contrast, sequences related to five different groups of halophilic archaea were amplified from sample DIE (including novel lineages with only uncultivated phylotypes), but the organisms that were cultivated from this sample fell into different groups (i.e., Natronococcus, Halorubrum, or unaffiliated) and did not overlap with those predicted using the culture-independent approach. With respect to the highly alkaline sample, EMF, four groups were predicted from the environmental 16S rDNA sequences, two of which ( Natronomonas and Haloarcula) were also recovered through cultivation together with Natronococcus isolates. In summary, we found that halophilic archaea dominate the archaeal populations in these three hypersaline environments and show that culturability of the organisms predicted by molecular surveys might strongly depend on the habitat chosen. While a number of novel halophilic archaea have been isolated, we have not been able to cultivate representatives of the new lineages that were detected in this and several other environmental studies.     

Evaluation of biological variables in the human

The analysis of the biological variability is one of the most important problems of anthropology and human genetics. However, describing the objective reality a conscious or unconscious valuation of this reality comes of frequently. Such a valuation can be motivated in a very different way and can achieve a considerable importance concerning the view of man. Experiences from history and presence make it clear that the sensitiveness for these problems must be a never renounced and a constant concern of all anthropologists and human genetists.     

An integrated feature selection and classification method to select minimum number of variables on the case study of gene expression data

This paper introduces a novel generic approach for classification problems with the objective of achieving maximum classification accuracy with minimum number of features selected. The method is illustrated with several case studies of gene expression data. Our approach integrates filter and wrapper gene selection methods with an added objective of selecting a small set of non-redundant genes that are most relevant for classification with the provision of bins for genes to be swapped in the search for their biological relevance. It is capable of selecting relatively few marker genes while giving comparable or better leave-one-out cross-validation accuracy when compared with gene ranking selection approaches. Additionally, gene profiles can be extracted from the evolving connectionist system, which provides a set of rules that can be further developed into expert systems. The approach uses an integration of Pearson correlation coefficient and signal-to-noise ratio methods with an adaptive evolving classifier applied through the leave-one-out method for validation. Datasets of gene expression from four case studies are used to illustrate the method. The results show the proposed approach leads to an improved feature selection process in terms of reducing the number of variables required and an increased in classification accuracy.     

Determination of aesculin in rat plasma by high performance liquid chromatography method and its application to pharmacokinetics studies

A sensitive and reproducible high performance liquid chromatography method with UV detection was described for the determination of aesculin in rat plasma. After deproteinization by methanol using metronidazole as internal standard (I.S.), solutes were evaporated to dryness at 40 degrees C under a gentle stream of nitrogen. The residue was reconstituted in 100 microl of mobile phase and a volume of 20 microl was injected into the HPLC for analysis. Solutes were separated on a Diamonsil C18 column (250 mm x 4.6 mm i.d., 5 microm particle size, Dikma) protected by a ODS guard column (10 mm x 4.0 mm i.d., 5 microm particle size), using acetonitrile-0.1% triethylamine solution (adjusted to pH 3.0 using phosphoric acid) (10:90, v/v) as mobile phase (flow-rate 1.0 ml/min), and wavelength of the UV detector was set at 338 nm. No interference from any endogenous substances was observed during the elution of aesculin and internal standard (I.S., metronidazole). The retention times for I.S and aesculin were 10.4 and 12.4 min, respectively. The limit of quantification was evaluated to be 57.4 ng/ml and the limit of detection was 24.0 ng/ml. The method was used in the study of pharmacokinetics of aesculin after intraperitoneal injection (i.p.) administration in rats.