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BACKGROUND:
The use of molecular biology-based methods for species identification and establishing phylogenetic relationships has supplanted traditional methods relying on morphological characteristics. While PCR-based methods are now the commonly accepted gold standards for these types of analysis, relatively high costs, time-consuming assay development or the need for a priori information about species-specific sequences constitute major limitations. In the present study, we explored the possibility to differentiate between 13 different species from the genus Drosophila via a molecular proteomic approach.
RESULTS:
After establishing a simple protein extraction procedure and performing matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) with intact proteins and peptides, we could show that most of the species investigated reproducibly yielded mass spectra that were adequate for species classification. Furthermore, a dendrogram generated by cluster analysis of total protein patterns agrees reasonably well with established phylogenetic relationships.
CONCLUSION:
Considering the intra- and interspecies similarities and differences between spectra obtained for specimens of closely related Drosophila species, we estimate that species typing of insects and possibly other multicellular organisms by intact protein profiling (IPP) can be established successfully for species that diverged from a common ancestor about 3 million years ago.
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Metabolic profiling is considered to be a very promising tool for diagnostic purposes, for assessing nutritional status and response to drugs. However, it is also evident that human metabolic profiles have a complex nature, influenced by many external factors. This, together with the understanding of the difficulty to assign people to distinct groups and a general move in clinical science towards personalized medicine, raises the interest to explore individual and variable metabolic features for each individual separately in longitudinal study design. In the current paper we have analyzed a set of metabolic profiles of a selection of six urine samples per person from a set of healthy individuals by 1H NMR and reversed-phase UPLC-MS. We have demonstrated that the method for recovery of individual metabolic phenotypes can give complementary information to another established method for analysis of longitudinal data—multilevel component analysis. We also show that individual metabolic signatures can be found not only in 1H NMR data, as has been demonstrated before, but also even more strongly in LC-MS data.
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Nanocapsules, made up of the deep cavitand octa amine and several guests, were prepared in aqueous acidic solution and were found to be stable in the gas phase as detected by electrospray ionization mass spectrometry (ESI-MS). The observed gas phase host-guest complexes contained five positive charges and were associated with several acid molecules (HCl or HBr).
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Added Convenience Enhances Assay Productivity The pioneering MALDI Biotyper is changing the way microbial identification is done in laboratories around the world. To make it even easier and cost effective to routinely use the MALDI Biotyper, Bruker offers a number of kits and accessories designed and tested to maximize the performance and productivity of the MALDI Biotyper system.
For many decades, Bruker has been committed to providing scientists with the very best in innovative mass spectrometry and analytical system solutions. Bruker systems are expertly designed for performance and utility, and feature a number of unique capabilities and technologies to enhance data quality and facilitate data analysis. Bruker systems are often the most powerful and high performance instruments in their class, and recent advances in the product line make this analytical power more accessible than ever to both new and expert users.
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Ever get the feeling that proteomics data management is becoming as complex as the proteome? Bruker’s bioinformatics platform ProteinScape collects all your data in one place, and arranges it in a way that reflects the way that you work. Customizable tables and viewers present the information you need in the way that you want it, whether it is an overview of an entire project or a single gel spot. Advanced data mining features mean you get the maximum out of your data and fully annotated reports help you efficiently communicate your findings. However much data you have to manage, ProteinScape is the key to successful proteomics projects.
This application note describes the quantitative determination of oxygenates, Paraffins, naphthenes and aromatics (O-PONA) in spark ignition fuels by the multidimensional gas chromatography separation approach utilized in the Bruker PIONA+™ GC analysis system. The Bruker PIONA+ Analyzer is a comprehensive GC system that offers the ability to characterize and quantify components in a variety of spark ignition fuels according to an array of industry standard method protocols. The system can be operated in one of multiple method “modes” depending on the analysis requirement of a given stream type. For this particular application, the system was set up to characterize the O-PONA content of spark ignition fuels.
This application note describes the quantitative analysis of n- and iso-saturates, n- and iso-olefins, and aromatics in spark-ignition engine fuels by multi-dimensional gas chromatography using the Bruker PIONA+™ Analyzer. Through the use of this system, hydrocarbon types (paraffins, iso-paraffins, olefins, iso-olefins, naphthenes and aromatics) are analyzed and reported, based on carbon number or as a total.