An evaluation of new gel matrices for the separation of PCR-amplified DNA fragments

It has been shown that the novel gel matrix, PCR Purity Plus which consists of a vinyl-polymer of polyacrylamide, provides a superior and rapid means of separating DNA fragments. As this product has been discontinued, the two new commercial versions of this matrix (MDE^® and GeneAmp^®) with PCR Purity Plus were compared. Optimal conditions for resolving DNA fingerprint profiles for both matrices were defined. Both MDE and GeneAmp gels provided a clear separation of DNA fragments. However, the profiles obtained on GeneAmp gel were closest to that of PCR Purity Plus. These results should be useful to DNA fingerprinting studies where it is critical to obtain a clear resolution of complex DNA profiles.     

The interpretation of oligonucleotide maps. A theoretical study of nucleic acid digests with special reference to repeated diverged sequences

Oligonucleotide mixtures produced by the digestion of RNA by specific nucleases can be defined in terms of isostichs (sets of common chain length), compositional isomers, and sequence isomers. Equations are derived to express the distribution of radioactivity on the isostich length, the distribution of compositional isomers on the isostich length, and the distribution of compositional isomers on the proportion of total radioactivity (“intensity”). It is shown how the properties of a “fingerprint” may be calculated from first principles, and conversely how the complexity of a sequence may be estimated from its fingerprint. The equations are tested by means of computer simulations of RNA digestions and their range of applicability is determined. The three distributions are used to analyze the digests of repetitious sequences. It is shown how the parameters of a diverged sequence family can, in a favorable case, be deduced from its fingerprint.     

Identification of the bacterial microflora in dairy products by temporal temperature gradient gel electrophoresis

Numerous microorganisms, including bacteria, yeasts, and molds, are present in cheeses, forming a complex ecosystem. Among these organisms, bacteria are responsible for most of the physicochemical and aromatic transformations that are intrinsic to the cheesemaking process. Identification of the bacteria that constitute the cheese ecosystem is essential for understanding their individual contributions to cheese production. We used temporal temperature gradient gel electrophoresis (TTGE) to identify different bacterial species present in several dairy products, including members of the genera Lactobacillus, Lactococcus, Leuconostoc, Enterococcus, Pediococcus, Streptococcus, and STAPHYLOCOCCUS: The TTGE technique is based on electrophoretic separation of 16S ribosomal DNA (rDNA) fragments by using a temperature gradient. It was optimized to reveal differences in the 16S rDNA V3 regions of bacteria with low-G+C-content genomes. Using multiple control strains, we first set up a species database in which each species (or group of species) was characterized by a specific TTGE fingerprint. TTGE was then applied to controlled dairy ecosystems with defined compositions, including liquid (starter), semisolid (home-made fermented milk), and solid (miniature cheese models) matrices. Finally, the potential of TTGE to describe the bacterial microflora of unknown ecosystems was tested with various commercial dairy products. Subspecies, species, or groups of species of lactic acid bacteria were distinguished in dairy samples. In conclusion, TTGE was shown to distinguish bacterial species in vitro, as well as in both liquid and solid dairy products.     

A New Class of Matrices with Application in Experimental Designs

A very general class of balanced matrices is defined in this paper. These matrices are generalisations of the balanced orthogonal designs of Rao (1970) and generalised balanced matrices of Dey and Midha (1976). Some methods of construction of these balanced matrices are discussed. An application of these matrices in experimental designs is also given.     

Information in morphological characters

The construction of morphological character matrices is central to paleontological systematic study, which extracts paleontological information from fossils. Although the word information has been repeatedly mentioned in a wide array of paleontological systematic studies, its meaning has rarely been clarified nor specifically defined. It is important, however, to establish a standard to measure paleontological information because fossils are hardly complete, rendering the recognition of homologous and homoplastic structures difficult. Here, based on information theory, we show the deep connections between paleontological systematic study and communication system engineering. Information is defined as the decrease of uncertainty and it is the information in morphological characters that allows distinguishing operational taxonomic units (OTUs) and reconstructing evolutionary history. We propose that concepts in communication system engineering such as source coding and channel coding, correspond to the construction of diagnostic features and the entire character matrices in paleontological studies. The two coding strategies should be distinguished following typical communication system engineering, because they serve dual purposes. With character matrices from six different vertebrate groups, we analyzed their information properties including source entropy, mutual information, and channel capacity. Estimation of channel capacity shows character saturation of all matrices in transmitting paleontological information, indicating that, due to the presence of noise, oversampling characters not only increases the burden in character scoring, but also may decrease quality of matrices. We further test the use of information entropy, which measures how informative a variable is, as a character weighting criterion in parsimony‐based systematic studies. The results show high consistency with existing knowledge with both good resolution and interpretability.     

Correspondence of two nuclear networks observed in situ with the nuclear matrix

In resting lymphocytes, three well defined networks are observed and attempts were made to superimpose them upon the networks described in isolated nuclear matrices. These three nuclear structures are seen after DNase and RNase treatment. They are digested by pepsin but their sensitivity to this enzyme is different. The more resistant network corresponds to the outer lamina of the isolated nuclear matrix. The second network is located in the inter-chromatin area. It is more sensitive to pepsin than the lamina and this sensitivity is increased ten-fold when digestion with pepsin is preceded by RNase digestion. This network corresponds to the internal network of isolated nuclear matrices. The third network is located in the intrachromatin area and is the most sensitive to pepsin action.     

道地药材霍山石斛及其相似种的分子鉴定

为检测霍山石斛与霍山产铜皮石斛、霍山产铁皮石斛及其它产地的几种药用石斛的差异,对霍山石斛及其相似种进行ISSR分子标记比较研究。结果表明,尽管霍山石斛及其相似种的外部形态差异较小,但在ISSR分子标记指纹图谱上却存在着显著而稳定的差异。因此,根据ISSR分子标记指纹图谱所显示的多态性位点差异,能准确鉴别霍山石斛及其相似种植物及药材。此方法简单、稳定性高、可重复性好,在霍山石斛的分子鉴定研究中有较大的应用价值。     

Proteomic analysis of extracellular matrices used in stem cell culture

Numerous matrices for the growth of human embryonic stem cells (hESC) in vitro have been described. However, their exact composition is typically unknown. Information on the components of these matrices will aid in the development of a fully defined growth surface for hESCs. These matrices typically consist of mixture of proteins present in a wide range of abundance making their characterization challenging. In this study, we performed the proteomic analysis of five previously uncharacterized matrices: CellStart, Human Basement Membrane Extract (Human BME), StemXVivo, Bridge Human Extracellular Matrix (BridgeECM), and mouse embryonic fibroblast conditioned matrix (MEF-CMTX). Based on a proteomics protocol optimized using lysates from HeLa cells, we undertook the analysis of the five complex extracellular matrix (ECM) samples using a combination of strong anion and cation exchange chromatography and SDS-PAGE. For each of these matrices, we identify numerous proteins, indicating their complex nature. We also compared these results with a similar proteomics analysis of the growth matrix, Matrigel?. From these analyses, we observed that fibronectin is a primary component of nearly all hESC supportive matrices. This observation led to the investigation of the suitability of fibronectin as a defined ECM for the growth of hESCs. We found that fibronectin promotes the maintenance of pluripotent H9 and CA1 hESCs in an undifferentiated state using mTeSR1 medium. This finding validates the utility of characterizing matrices used for hESC growth in revealing ECM components required for culturing hESCs in a universally applicable defined system.     

Identification of the Bacterial Microflora in Dairy Products by Temporal Temperature Gradient Gel Electrophoresis

Numerous microorganisms, including bacteria, yeasts, and molds, are present in cheeses, forming a complex ecosystem. Among these organisms, bacteria are responsible for most of the physicochemical and aromatic transformations that are intrinsic to the cheesemaking process. Identification of the bacteria that constitute the cheese ecosystem is essential for understanding their individual contributions to cheese production. We used temporal temperature gradient gel electrophoresis (TTGE) to identify different bacterial species present in several dairy products, including members of the genera Lactobacillus, Lactococcus, Leuconostoc, Enterococcus, Pediococcus, Streptococcus, and Staphylococcus. The TTGE technique is based on electrophoretic separation of 16S ribosomal DNA (rDNA) fragments by using a temperature gradient. It was optimized to reveal differences in the 16S rDNA V3 regions of bacteria with low-G+C-content genomes. Using multiple control strains, we first set up a species database in which each species (or group of species) was characterized by a specific TTGE fingerprint. TTGE was then applied to controlled dairy ecosystems with defined compositions, including liquid (starter), semisolid (home-made fermented milk), and solid (miniature cheese models) matrices. Finally, the potential of TTGE to describe the bacterial microflora of unknown ecosystems was tested with various commercial dairy products. Subspecies, species, or groups of species of lactic acid bacteria were distinguished in dairy samples. In conclusion, TTGE was shown to distinguish bacterial species in vitro, as well as in both liquid and solid dairy products.     

Partial correlation of distance matrices in studies of population structure

Anthropological studies of human population structure commonly compare various monogenic and polygenic (metric) distance matrices to distance matrices obtained from measures of geographical dispersion, linguistic differences, and migration patterns in an attempt to infer something about the effects of evolutionary factors (drift and differential selection, in particular). It is, though, commonly recognized that geography, language, and migration patterns may be intercorrelated due to the common effects of historical and social processes. Previous attempts to deal with the problems of assessing relative effects among such sets of intercorrelated factors using partial correlations have resulted in coefficients that are either not well defined or have no known sampling distribution or both. Here, we outline a general approach to partialling distance matrices that results in well-defined coefficients and valid significance testing procedures. Application of the matrix partialling methods to a variety of distance matrices obtained for a sample of eight ethnolinguistic groups from the Harvard Solomon Islands Expedition (Friedlaender et al., 1986) reveals a close association between language dissimilarity and dermatoglyphics controlling for geography, thus reinforcing earlier suggestions that dermatoglyphics, properly used, reflect historical relationships of groups in this region better than do anthropometry, odontometrics, or small batteries of blood polymorphisms.     

Prediction of the occurrence of the ADP-binding beta alpha beta-fold in proteins, using an amino acid sequence fingerprint

An amino acid sequence "fingerprint" has been derived that can be used to test if a particular sequence will fold into a beta alpha beta-unit with ADP-binding properties. It was deduced from a careful analysis of the known three-dimensional structures of ADP-binding beta alpha beta-folds. This fingerprint is in fact a set of 11 rules describing the type of amino acid that should occur at a specific position in a peptide fragment. The total length of this fingerprint varies between 29 and 31 residues. By checking against all possible sequences in a database, it appeared that every peptide, which exactly follows this fingerprint, does indeed fold into an ADP-binding beta alpha beta-unit.     

Hematopoietic Stem Cell Cytokines and Fibroblast Growth factor-2 Stimulate Human Endothelial Cell-Pericyte Tube Co-Assembly in 3D Fibrin Matrices under Serum-Free Defined Conditions

We describe a novel 3D fibrin matrix model using recombinant hematopoietic stem cell cytokines under serum-free defined conditions which promotes the assembly of human endothelial cell (EC) tubes with co-associated pericytes. Individual ECs and pericytes are randomly mixed together and EC tubes form that is accompanied by pericyte recruitment to the EC tube abluminal surface over a 3-5 day period. These morphogenic processes are stimulated by a combination of the hematopoietic stem cell cytokines, stem cell factor, interleukin-3, stromal derived factor-1α, and Flt-3 ligand which are added in conjunction with fibroblast growth factor (FGF)-2 into the fibrin matrix. In contrast, this tube morphogenic response does not occur under serum-free defined conditions when VEGF and FGF-2 are added together in the fibrin matrices. We recently demonstrated that VEGF and FGF-2 are able to prime EC tube morphogenic responses (i.e. added overnight prior to the morphogenic assay) to hematopoietic stem cell cytokines in collagen matrices and, interestingly, they also prime EC tube morphogenesis in 3D fibrin matrices. EC-pericyte interactions in 3D fibrin matrices leads to marked vascular basement membrane assembly as demonstrated using immunofluorescence and transmission electron microscopy. Furthermore, we show that hematopoietic stem cell cytokines and pericytes stimulate EC sprouting in fibrin matrices in a manner dependent on the α5β1 integrin. This novel co-culture system, under serum-free defined conditions, allows for a molecular analysis of EC tube assembly, pericyte recruitment and maturation events in a critical ECM environment (i.e. fibrin matrices) that regulates angiogenic events in postnatal life.     

民族药用植物指纹数据库的构建研究

通过对四川省时采集的民族药用植物标本进行基因和化学指纹图谱、药用价值、民族传统利用等信息的整理,用SQL Server 2000建立一个民族药用植物指纹的开放式关系数据库初步框架。该数据库重点体现药用植物的民族利用特色,同时包括各种指纹图谱图片。该数据库不仅可以快速、方便地检索和查询有关民族药用植物的背景资料、药用价值以及指纹图谱信息,而且可为四川省内民族药用植物资源的保护和利用提供基础。     

Bioanalytical application of surface‐ and tip‐enhanced Raman spectroscopy

Due to its fingerprint specificity and trace‐level sensitivity, surface‐enhanced Raman spectroscopy (SERS) is an attractive tool in bioanalytics. This review reflects the research in this highly interesting topic of the last 3–4 years. The detection of the SERS signature of biomolecules up to microorganisms and cells is introduced. Labeling using modified nanoparticles (SERS tags) is also introduced. In order to establish biomedical applications, SERS analysis is performed in complex matrices such as body fluids. Furthermore, the SERS technique is combined with other methods such as microfluidic devices for online monitoring and scanning probe microscopy (i.e. tip‐enhanced Raman spectroscopy, TERS) to investigate nanoscaled features. The present review illustrates the broad application fields of SERS and TERS in bioanalytics and shows the great potential of these methods for biomedical diagnostics.     

Varietal Tracing of Virgin Olive Oils Based on Plastid DNA Variation Profiling

Olive oil traceability remains a challenge nowadays. DNA analysis is the preferred approach to an effective varietal identification, without any environmental influence. Specifically, olive organelle genomics is the most promising approach for setting up a suitable set of markers as they would not interfere with the pollinator variety DNA traces. Unfortunately, plastid DNA (cpDNA) variation of the cultivated olive has been reported to be low. This feature could be a limitation for the use of cpDNA polymorphisms in forensic analyses or oil traceability, but rare cpDNA haplotypes may be useful as they can help to efficiently discriminate some varieties. Recently, the sequencing of olive plastid genomes has allowed the generation of novel markers. In this study, the performance of cpDNA markers on olive oil matrices, and their applicability on commercial Protected Designation of Origin (PDO) oils were assessed. By using a combination of nine plastid loci (including multi-state microsatellites and short indels), it is possible to fingerprint six haplotypes (in 17 Spanish olive varieties), which can discriminate high-value commercialized cultivars with PDO. In particular, a rare haplotype was detected in genotypes used to produce a regional high-value commercial oil. We conclude that plastid haplotypes can help oil traceability in commercial PDO oils and set up an experimental methodology suitable for organelle polymorphism detection in the complex olive oil matrices.     

Consensus Principal Components

From the polar forms of the principal components corresponding with each of a set of covariance (or correlation) matrices, a linear combination based on their inner products is defined as the polar form of the consensus. The corresponding eigenvectors form an orthogonal matrix which rotates each of the covariance matrices to approximate diagonal form. From the norms of the polar forms, these eigenvectors can be used to estimate a common covariance matrix. These procedures are illustrated by a numerical example.     

MALDI/MS peptide mass fingerprinting for proteome analysis: identification of hydrophobic proteins attached to eucaryote keratinocyte cytoplasmic membrane using different matrices in concert

BACKGROUND: MALDI-TOF-MS has become an important analytical tool in the identification of proteins and evaluation of their role in biological processes. A typical protocol consists of sample purification, separation of proteins by 2D-PAGE, enzymatic digestion and identification of proteins by peptide mass fingerprint. Unfortunately, this approach is not appropriate for the identification of membrane or low or high pI proteins. An alternative technique uses 1D-PAGE, which results in a mixture of proteins in each gel band. The direct analysis of the proteolytic digestion of this mixture is often problematic because of poor peptide detection and consequent poor sequence coverage in databases. Sequence coverage can be improved through the combination of several matrices. RESULTS: The aim of this study was to trust the MALDI analysis of complex biological samples, in order to identify proteins that interact with the membrane network of keratinocytes. Peptides obtained from protein trypsin digestions may have either hydrophobic or hydrophilic sections, in which case, the direct analysis of such a mixture by MALDI does not allow desorbing of all peptides. In this work, MALDI/MS experiments were thus performed using four different matrices in concert. The data were analysed with three algorithms in order to test each of them. We observed that the use of at least two matrices in concert leads to a twofold increase of the coverage of each protein. Considering data obtained in this study, we recommend the use of HCCA in concert with the SA matrix in order to obtain a good coverage of hydrophilic proteins, and DHB in concert with the SA matrix to obtain a good coverage of hydrophobic proteins. CONCLUSION: In this work, experiments were performed directly on complex biological samples, in order to see systematic comparison between different matrices for real-life samples and to show a correlation that will be applicable to similar studies. When 1D gel is needed, each band may contain a great number of proteins, each present in small amounts. To improve the proteins coverage, we have performed experiments with some matrices in concert. These experiments enabled reliable identification of proteins, without the use of Nanospray MS/MS experiments.     

Problems with the statistical testing of panbiogeographic hypotheses

Abstract

Croizat regarded generalised tracks as having a statistical basis, their degree of justification being directly related to the number of individual tracks consistent with them. In order to be logically valid, however, such an approach needs to have an explicit statistical basis. Page (1987) attempts to provide this, proposing the following protocol. Tracks are treated as geographic minimum-spanning trees which in turn are represented numerically as binary connectivity matrices. The statistical significance of similarities between two connectivity matrices is assessed using a permutation-test of association, a test that was developed for comparing distancematrices. The null hypothesis for this test is defined by the set of alternative connectivity matrices corresponding to all possible permutations of the track-vertices. There are however, a number of problems with this statistical test when applied to connectivity matrices derived from panbiogeographic tracks, and these render invalid the procedure advocated by Page.     

Marginal distributions of genetic coalgebras

We consider the backward evolution of a particular type of Mendelian genetic system whose transition probabilities give place to the so-called coalgebras with genetic realization and describe the equilibrium states of such mathematical objects and therefore those of the genetic system. We exploit the relationship between the genetic coalgebras modeling the transference of the genetic inheritance and cubic stochastic matrices of type (1, 2) studying first the ergodicity of these matrices in terms of the stationary probability distributions of the bivariate Markov chains defined by their accompanying matrices. Then we apply the obtained results to describe the equilibrium states of coalgebras with genetic realization.