Assessment of 1H NMR spectroscopy and multivariate analysis as a technique for metabolite fingerprinting of Arabidopsis thaliana

An approach to metabolite fingerprinting of crude plant extracts that utilizes 1H nuclear magnetic resonance (NMR) spectroscopy and multivariate statistics has been tested. Using ecotypes of Arabidopsis thaliana as experimental material, a method has been developed for the rapid analysis of unfractionated polar plant extracts, enabling the creation of reproducible metabolite fingerprints. These fingerprints could be readily stored and compared by a variety of chemometric methods. Comparison by principal component analysis using SIMCA-P allowed the generation of residual NMR spectra of the compounds that contributed significantly to the differences between samples. From these plots, conclusions were drawn with respect to the identity and relative levels of metabolites differing between samples.     

Wine yeast typing by MALDI-TOF MS

For the production of wine, the most important industrially used yeast species is Saccharomyces cerevisiae. Years of experience have shown that wine quality and property are significantly affected by the employed strain conducting the fermentation. Consequently, the ability of a strain level differentiation became an important requirement of modern winemaking. In our study, we showed that the differentiation by time-consuming and laborious biochemical and DNA-based methods to enable a constant beverage quality and characteristics can be replaced by matrix-assisted-laser-desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), accompanied by the additional benefit of an application prediction. Mass fingerprints of 33 Saccharomyces strains, which are commonly used for varying wine fermentations, were generated by MALDI-TOF MS upon optimized sample preparation and instrument settings and analyzed by a cluster analysis for strain or ecotype-level differentiation. As a reference method, delta-PCR was chosen to study the genetic diversity of the employed strains. Finally, the cluster analyses of both methods were compared. It could be shown that MALDI-TOF MS, acting at proteome level, provides valuable information about the relationship between yeast strains and their application potential according to their MALDI mass fingerprint.     

Direct evidence for biased gene diversity estimates from dominant random amplified polymorphic DNA (RAPD) fingerprints

The relevance of using dominant random amplified polymorphic DNA (RAPD) fingerprints for estimating population differentiation was investigated when typically small population sample sizes were used. Haploid sexual tissues were first used to determine genotypes at RAPD loci for 75 eastern white pines ( Pinus strobus L.) representing five populations. Dominant RAPD fingerprints were then inferred from genotypic data for each individual at each locus, and gene diversity estimates from both sources of data were compared. Genotypic information at RAPD loci indicated little or no differentiation among populations, similar to allozyme loci. However, estimates of population differentiation derived from dominant RAPD fingerprints according to various common methods of analysis were generally inflated, especially when all fragments were considered. Simulations showed that an increase in loci sampling and population sample sizes did not significantly alleviate the biases observed.     

A new method to improve sensitivity and resolution in matrix-assisted laser desorption/ionization time of flight mass spectrometry

High detection sensitivity and resolution are two critical parameters for recording good peptide mass fingerprints (PMF) of low abundance proteins. This paper reports a mass spectrometry (MS) sample preparation technique that could improve sensitivity and resolution. By coating the MS steel target with a thin layer of pentadecafluorooctamido propyltrimethoxysilane, which was both polar and nonpolar solvent repellent, the transferred sample droplets on its surface were significantly smaller. As a result, the analyte of the peptide mixture became more concentrated and homogeneous, which helped to improve the sensitivity. The advantages of a modified MS target were documented by mass spectra improvement of attomole level standard peptides and silver-stained proteins from polyacrylamide gels. The mass signal of angiotensin II at 100 attomole was difficult to record on the conventional support, whereas it was easily detected on the modified one. The PMF of cytochrome C was also better recorded on the modified support, in terms of both signal-to-noise ratio and the number of detected peptides. When silver-stained proteins from two-dimensional electrophoresis gels were analyzed, in most cases more satisfactory peptide mass spectra were obtained from the modified support. Searching protein databases with more mass data from the improved PMFs, several unknown proteins were successfully identified.     

滁菊的HPLC指纹图谱制作及其化学计量学分析

建立滁菊的HPLC指纹图谱,结合化学计量学手段对不同滁菊的指纹图谱进行分析研究,以期为滁菊的质量控制和产地追溯提供依据。采用HPLC法建立指纹图谱,并用中药色谱指纹图谱相似度评价系统(2012版)和系统聚类、主成分分析2种化学计量学法对指纹图谱和特征峰进行分析。分析结果发现样品有27个共有峰,12个滁菊样品具有较高的相似度,杭菊与滁菊的相似度较差,聚类分析与主成分分析结果和相似度分析结果一致。将HPLC指纹图谱与化学计量学结合可对滁菊进行鉴别和质量评价,为其质量控制和追溯提供了理论参考。     

赤霉属真菌诱导龙血竭形成的HPLC指纹图谱

龙血竭为百合科植物龙血树所产的树脂类药材,常常因树干部位受损伤后,经微生物侵染并分泌树脂,经提而成。本研究以活性菌株诱导所得龙血竭药材为研究对象,采用HPLC指纹图谱与对照药材相比较,为其质量控制提供评价及分析方法。采用ZORBAX SB-C18色谱柱（5μm,4.6mm×250mm）,流动相A为30%乙腈+0.3%乙酸,流动相B为100%乙腈,梯度洗脱,流速1.0mL/min,检测波长278nm与309nm,柱温25℃。结果发现,各龙血竭样品指纹图谱与对照样品相似度高,确定14个共有峰,并通过对照指认了7,4’-二羟基黄酮、龙血素A、龙血素B和白藜芦醇共4个特征性化学成分。本研究发现活性真菌菌株诱导产物可作为天然龙血竭的替代品,诱导药材质量佳,诱导效果好。     

Proteome analysis of maize roots reveals that oxidative stress is a main contributing factor to plant arsenic toxicity

To gain insight into plant responses to arsenic, the effect of arsenic exposure on maize (Zea mays L.) root proteome has been examined. Maize seedlings were fed hydroponically with 300 microM sodium arsenate or 250 microM sodium arsenite for 24 h, and changes in differentially displayed proteins were studied by two-dimensional electrophoresis and digital image analysis. About 10% of total detected maize root proteins (67 out of 700) were up- or down-regulated by arsenic, among which 20 were selected as being quite reproducibly affected by the metalloid. These were analyzed by matrix-assisted laser desorption/ionization-time of flight mass spectrometry and 11 of them could be identified by comparing their peptide mass fingerprints against protein- and expressed sequence tag-databases. The set of identified maize root proteins highly responsive to arsenic exposure included a major and functionally homogeneous group of seven enzymes involved in cellular homeostasis for redox perturbation (e.g., three superoxide dismutases, two glutathione peroxidases, one peroxiredoxin, and one p-benzoquinone reductase) besides four additional, functionally heterogeneous, proteins (e.g., ATP synthase, succinyl-CoA synthetase, cytochrome P450 and guanine nucleotide-binding protein beta subunit). These findings strongly suggest that the induction of oxidative stress is a main process underlying arsenic toxicity in plants.     

A rapid microwave-assisted derivatization of bacterial metabolome samples for gas chromatography/mass spectrometry analysis

Analysis of metabolome samples by gas chromatography/mass spectrometry requires a comprehensive derivatization method to afford quantitative and qualitative information of a complex biological sample. Here we describe an extremely time-effective microwave-assisted protocol for the commonly used methoxyamine and N-methyl-N-trimethylsilylfluoracetamide silylation method of primary metabolites. Our studies show that microwave irradiation can decrease the sample preparation time from approximately 120 min to 6 min without loss of either qualitative or quantitative information for the tested synthetic metabolite mixtures and microbial-derived metabolome samples collected from Bacillus subtilis and Staphylococcus aureus. Comparisons of metabolic fingerprints and selected metabolites show no noticeable differences compared with the commonly used heating block methods.     

Rapid identification of proteins by peptide-mass fingerprinting

BACKGROUND: Developments in 'soft' ionisation techniques have revolutionized mass-spectro-metric approaches for the analysis of protein structure. For more than a decade, such techniques have been used, in conjuction with digestion b specific proteases, to produce accurate peptide molecular weight 'fingerprints' of proteins. These fingerprints have commonly been used to screen known proteins, in order to detect errors of translation, to characterize post-translational modifications and to assign diulphide bonds. However, the extent to which peptide-mass information can be used alone to identify unknown sample proteins, independent of other analytical methods such as protein sequence analysis, has remained largely unexplored. RESULTS: We report here on the development of the molecular weight search (MOWSE) peptide-mass database at the SERC Daresbury Laboratory. Practical experience has shown that sample proteins can be uniquely identified from a few as three or four experimentally determined peptide masses when these are screened against a fragment database that is derived from over 50 000 proteins. Experimental errors of a few Daltons are tolerated by the scoring algorithms, thus permitting the use of inexpensive time-of-flight mass spectrometers. As with other types of physical data, such as amino-acid composition or linear sequence, peptide masses provide a set of determinants that are sufficiently discriminating to identify or match unknown sample proteins. CONCLUSION: Peptide-mass fingerprints can prove as discriminating as linear peptide sequences, but can be obtained in a fraction of the time using less protein. In many cases, this allows for a rapid identification of a sample protein before committing it to protein sequence analysis. Fragment masses also provide information, at the protein level, that is complementary to the information provided by large-scale DNA sequencing or mapping projects.     

肿瘤患者皮纹特征的量化分类初步分析

本文对肿瘤患者的指纹和掌纹按照标准的分类方法进行了较为详细的分析,并与对照组进行了对比,用χ2检验的方法,发现患者与对照组之间在指纹和掌纹的出现率上均存在差异,这些结论为搭建量化皮纹特征模型、建立量化的皮纹特征指标体系、患者与对照组的分类判别都提供了有力的理论依据。     

New biochip technology for label-free detection of pathogens and their toxins

microSERS is a new biochip technology that uses surface-enhanced Raman scattering (SERS) microscopy for label-free transduction. The biochip itself comprises pixels of capture biomolecules immobilized on a SERS-active metal surface. Once the biochip has been exposed to the sample and the capture biomolecules have selectively bound their ligands, a Raman microscope is used to collect SERS fingerprints from the pixels on the chip. SERS, like other whole-organism fingerprinting techniques, is very specific. Our initial studies have shown that the Gram-positive Listeria and Gram-negative Legionella bacteria, Bacillus spores and Cryptosporidium oocysts can often be identified at the subspecies/strain level on the basis of SERS fingerprints collected from single organisms. Therefore, pathogens can be individually identified by microSERS, even when organisms that cross-react with the capture biomolecules are present in a sample. Moreover, the SERS fingerprint reflects the physiological state of a bacterial cell, e.g., when pathogenic Listeria and Legionella were cultured under conditions known to affect virulence, their SERS fingerprints changed significantly. Similarly, nonviable (e.g., heat- or UV-killed) microorganisms could be differentiated from their viable counterparts by SERS fingerprinting. Finally, microSERS is also capable of the sensitive and highly specific detection of toxins. Toxins that comprised as little as 0.02% by weight of the biomolecule-toxin complex produced strong, unique fingerprints when spectra collected from the complexes were subtracted from the spectra of the uncomplexed biomolecules. For example, aflatoxins B(1) and G(1) could be detected and individually identified when biochips bearing pixels of antibody or enzyme capture biomolecules were incubated in samples containing one or both aflatoxins, and the spectra were then collected for 20 s from an area of the biomolecule pixel approximately 1 microm in diameter. In the future, we plan to investigate the use of hyperspectral imaging Raman microscopy for collecting fingerprints from all the pixels on the biochip, individually yet simultaneously, to enable the rapid detection of diverse pathogens and their toxins in a sample, using a single biochip.     

Mass spectral analysis of complex lipids desorbed directly from lyophilized membranes and cells

Three desorption ionization techniques--laser desorption, plasma desorption and fast atom bombardment mass spectrometry--have been applied to lyophilized cells, membranes, lysed cells and various extracts. It has been shown that intact polar lipids are selectively desorbed from biological membranes by these methods and that their mass spectra provide "fingerprints" which reflect the unique biochemical composition of each class of cell or membrane.     

HPLC fingerprinting and LC-TOF-MS analysis of the extract of Pseudostellaria heterophylla (Miq.) Pax root

High-performance liquid chromatographic (HPLC) was developed for fingerprint analysis of Pseudostellaria heterophylla (Miq.) Pax. Liquid chromatography-electrospray ionization-time-of-flight mass spectrometry (LC-TOF-MS) technique was first employed to identify the components of the fingerprint. Twelve major peaks in chromatographic fingerprint were analyzed by on-line LC-TOF-MS analysis; one cyclic peptide was unequivocally identified and five cyclic peptides were tentatively assigned based on their MS data. These cyclic peptides served as the marker peaks in the HPLC fingerprints. The chromatographic fingerprints have been analyzed by similarity index calculations and hierarchical clustering analysis (HCA). The result showed that the HPLC fingerprints could be used to determine the optimal harvest time for P. heterophylla (Miq.) Pax and to authenticate the species of the herb.     

Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning

At present, there is much variability between MALDI-TOF MS methodology for the characterization of bacteria through differences in e.g., sample preparation methods, matrix solutions, organic solvents, acquisition methods and data analysis methods. After evaluation of the existing methods, a standard protocol was developed to generate MALDI-TOF mass spectra obtained from a collection of reference strains belonging to the genera Leuconostoc, Fructobacillus and Lactococcus. Bacterial cells were harvested after 24 h of growth at 28 °C on the media MRS or TSA. Mass spectra were generated, using the CHCA matrix combined with a 50:48:2 acetonitrile:water:trifluoroacetic acid matrix solution, and analyzed by the cell smear method and the cell extract method. After a data preprocessing step, the resulting high quality data set was used for PCA, distance calculation and multi-dimensional scaling. Using these analyses, species-specific information in the MALDI-TOF mass spectra could be demonstrated. As a next step, the spectra, as well as the binary character set derived from these spectra, were successfully used for species identification within the genera Leuconostoc, Fructobacillus, and Lactococcus. Using MALDI-TOF MS identification libraries for Leuconostoc and Fructobacillus strains, 84% of the MALDI-TOF mass spectra were correctly identified at the species level. Similarly, the same analysis strategy within the genus Lactococcus resulted in 94% correct identifications, taking species and subspecies levels into consideration. Finally, two machine learning techniques were evaluated as alternative species identification tools. The two techniques, support vector machines and random forests, resulted in accuracies between 94% and 98% for the identification of Leuconostoc and Fructobacillus species, respectively.     

Liquid ultraviolet matrix-assisted laser desorption/ionization -- mass spectrometry for automated proteomic analysis

We have combined several key sample preparation steps for the use of a liquid matrix system to provide high analytical sensitivity in automated ultraviolet -- matrix-assisted laser desorption/ionisation -- mass spectrometry (UV-MALDI-MS). This new sample preparation protocol employs a matrix-mixture which is based on the glycerol matrix-mixture described by Sze et al. The low-femtomole sensitivity that is achievable with this new preparation protocol enables proteomic analysis of protein digests comparable to solid-state matrix systems. For automated data acquisition and analysis, the MALDI performance of this liquid matrix surpasses the conventional solid-state MALDI matrices. Besides the inherent general advantages of liquid samples for automated sample preparation and data acquisition the use of the presented liquid matrix significantly reduces the extent of unspecific ion signals in peptide mass fingerprints compared to typically used solid matrices, such as 2,5-dihydroxybenzoic acid (DHB) or alpha-cyano-hydroxycinnamic acid (CHCA). In particular, matrix and low-mass ion signals and ion signals resulting from cation adduct formation are dramatically reduced. Consequently, the confidence level of protein identification by peptide mass mapping of in-solution and in-gel digests is generally higher.     

1H NMR metabolite fingerprinting and metabolomic analysis of perchloric acid extracts from plant tissues

Metabolite fingerprinting provides a powerful method for discriminating between biological samples on the basis of differences in metabolism caused by such factors as growth conditions, developmental stage or genotype. This protocol describes a technique for acquiring metabolite fingerprints from samples of plant origin. The preferred method involves freezing the tissue rapidly to stop metabolism, extracting soluble metabolites using perchloric acid (HClO4) and then obtaining a fingerprint of the metabolic composition of the sample using 1D 1H NMR spectroscopy. The spectral fingerprints of multiple samples may be analyzed using either unsupervised or supervised multivariate statistical methods, and these approaches are illustrated with data obtained from the developing seeds of two genotypes of sunflower (Helianthus annuus). Preparation of plant extracts for analysis takes 2-3 d, but multiple samples can be processed in parallel and subsequent acquisition of NMR spectra takes approximately 30 min per sample, allowing 24-48 samples to be analyzed in a week.     

Optimisation of intact cell MALDI method for fingerprinting of methicillin-resistant Staphylococcus aureus

The use of matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry on intact cell microorganisms, Intact Cell MALDI (ICM), has been shown by numerous workers to yield effective species level identification. Early work highlighted the significant effect that variation in culture media, incubation conditions and length of incubation had on the spectra produced. Therefore, in order to achieve reliable and reproducible species level identification and sub-typing of microorganisms from ICM fingerprints, it has been essential to develop standardised methods. For methicillin-resistant Staphylococcus aureus (MRSA), a major nosocomial pathogen, we have developed such a standardised method. In this paper we present the experimental parameters, namely, the incubation period, the number of passages required from lyophilised or stored isolates, the method of deposition of the bacterial cells, the concentration of matrix solution, the drying time of bacterial cells prior to the addition of the matrix solution, the time between preparation of the bacterial/matrix sample and analysis and the MALDI pulsed extraction setting, which were considered during the development of defined methods.     

狮子头热泉菌席样品环境总DNA提取方法的比较研究

通过对狮子头热泉7个环境菌席样品所提取的总DNA进行纯度检测、提取得率计算和DGGE分析,比较了3种直接和1种间接DNA提取方法。结果表明：综合利用多种裂解方式比单一裂解方式更能充分释放环境DNA;其中3种方法获得的DNA片段能够进行后续16S rDNA扩增;针对同一样品,不同方法提取的环境DNA,可获得不同DGGE群落指纹图谱;间接提取法提取的总DNA,能更好地反映狮子头热泉菌席的微生物多样性。     

Quality control of herbal medicines

Different chromatographic and electrophoretic techniques commonly used in the instrumental inspection of herbal medicines (HM) are first comprehensively reviewed. Chemical fingerprints obtained by chromatographic and electrophoretic techniques, especially by hyphenated chromatographies, are strongly recommended for the purpose of quality control of herbal medicines, since they might represent appropriately the "chemical integrities" of the herbal medicines and therefore be used for authentication and identification of the herbal products. Based on the conception of phytoequivalence, the chromatographic fingerprints of herbal medicines could be utilized for addressing the problem of quality control of herbal medicines. Several novel chemometric methods for evaluating the fingerprints of herbal products, such as the method based on information theory, similarity estimation, chemical pattern recognition, spectral correlative chromatogram (SCC), multivariate resolution, etc. are discussed in detail with examples, which showed that the combination of chromatographic fingerprints of herbal medicines and the chemometric evaluation might be a powerful tool for quality control of herbal products.     

De novo design of novel DNA–gyrase inhibitors based on 2D molecular fingerprints

As increasing drug-resistance poses an emerging threat to public health, the development of novel antibacterial agents is critical. We developed a workflow consisting of various methods for de novo design. In the workflow, 2D-QSAR model based on molecular fingerprints was constructed to extract the bioactive molecular fingerprints from a data set of DNA–gyrase inhibitors with new structure and mechanism. These fingerprints were converted into molecular fragments which were recombined to generate compound library. The new compound library was virtually screened by LigandFit and Gold docking, and the results were further investigated by pharmacophore validation and binding mode analysis. The workflow successfully achieved a potential DNA–gyrase inhibitor. It could be applied to design more novel potential DNA–gyrase inhibitors and provide theoretical basis for further optimization of the hit compounds.