A fast and efficient method for quantitative measurement of S-adenosyl-l-methionine-dependent methyltransferase activity with protein substrates

Modification of protein residues by S-adenosyl-l-methionine (AdoMet)-dependent methyltransferases impacts an array of cellular processes. Here we describe a new approach to quantitatively measure the rate of methyl transfer that is compatible with using protein substrates. The method relies on the ability of reverse-phase resin packed at the end of a pipette tip to quickly separate unreacted AdoMet from radiolabeled protein products. Bound radiolabeled protein products are eluted directly into scintillation vials and counted. In addition to decreasing analysis time, the sensitivity of this protocol allows the determination of initial rate data. The utility of this protocol was shown by generating a Michaelis-Menten curve for the methylation of heterogeneous nuclear ribonucleoprotein K (hnRNP K) protein by human protein arginine methyltransferase 1, variant 1 (hPRMT1v1), in just over 1 h. An additional advantage of this assay is the more than 3000-fold reduction in radioactive waste over existing protocols.     

Metabolite profiling and quantification of phenolic compounds in methanol extracts of tomato fruit

The consumption of tomatoes and tomato products has been associated with a reduction in the risk of contracting some types of cancer and other chronic diseases. These beneficial properties may be attributed to the presence of key metabolites and the interactions among them. We have developed and validated an analytical method for the comprehensive profiling of semi-polar metabolites in the methanol extract of three cultivars of raw tomatoes (Daniela, Raf and Rambo) grown in Almería, in south-east Spain. Diode-array and time-of-flight/ion-trap mass spectrometry detectors were used to ensure the wide detection of metabolites with highly divergent properties. The masses thus detected were assigned by matching their accurate mass-signals with tomato compounds reported in the literature, and supplemented by UV and MS/MS information, reference compounds and existing metabolite databases. In this way we were able to identify tentatively 135 compounds belonging to various structural classes, 21 of which are to our knowledge reported for the first time in the tomato fruit. Among the metabolites identified, the most abundant were phenolic compounds. This class of secondary metabolites is attracting considerable attention from producers and consumers due to their antioxidant activity and nutritional properties. Their quantitative analysis was achieved by using closely related derivatives for each family.     

Comparing methods to quantify experimental transmission of infectious agents

Transmission of an infectious agent can be quantified from experimental data using the transient-state (TS) algorithm. The TS algorithm is based on the stochastic SIR model and provides a time-dependent probability distribution over the number of infected individuals during an epidemic, with no need for the experiment to end in final-size (e.g., where no more infections can occur). Because of numerical limitations, the application of the TS algorithm is limited to populations with only a few individuals. We investigated the error of using the easily applicable, time-independent final-size (FS) algorithm knowing that the FS situation was not reached. We conclude that the methods based on the FS algorithm: (i) underestimate R(0), (ii) are liberal when testing H(0):R(0)1 against H(1):R(0)<1, (iii) are conservative when testing H(0):R(0)1 against H(1):R(0)>1, and (iv) are conservative when testing H(0):R(control)=R(treatment) against H(1):R(control)>R(treatment). Furthermore, a new method is presented to find a difference in transmission between two treatment groups (MaxDiff test). The MaxDiff test is compared to tests based on FS and TS algorithms. The TS test and the MaxDiff test were most powerful (approximately equally powerful) in finding a difference, whereas the FS test was less powerful (especially, when both R(control) and R(treatment) are >1).     

Biocatalytic ketone reduction—a powerful tool for the production of chiral alcohols—part I: processes with isolated enzymes

Traditional cultivation-based methods to quantify microbial abundance are not suitable for analyses of microbial communities in environmental or medical samples, which consist mainly of uncultured microorganisms. Recently, different cultivation-independent quantification approaches have been developed to overcome this problem. Some of these techniques use specific fluorescence markers, for example ribosomal ribonucleic acid targeted oligonucleotide probes, to label the respective target organisms. Subsequently, the detected cells are visualized by fluorescence microscopy and are quantified by direct visual cell counting or by digital image analysis. This article provides an overview of these methods and some of their applications with emphasis on (semi-)automated image analysis solutions.     

Stereology meets electron tomography: towards quantitative 3D electron microscopy

Stereological tools are the gold standard for accurate (i.e., unbiased) and precise quantification of any microscopic sample. The past decades have provided a broad spectrum of tools to estimate a variety of parameters such as volumes, surfaces, lengths, and numbers. Some of them require pairs of parallel sections that can be produced by either physical or optical sectioning, with optical sectioning being much more efficient when applicable. Unfortunately, transmission electron microscopy could not fully profit from these riches, mainly because of the large depth of field. Hence, optical sectioning was a long-time desire for electron microscopists. This desire was fulfilled with the development of electron tomography that yield stacks of slices from electron microscopic sections. Now, parallel optical slices of a previously unimagined small thickness (2-5 nm axial resolution) can be produced. These optical slices minimize problems related to overprojection effects, and allow for direct stereological analysis, e.g., volume estimation with the Cavalieri principle and number estimation with the optical disector method. Here, we demonstrate that the symbiosis of stereology and electron tomography is an easy and efficient way for quantitative analysis at the electron microscopic level. We call this approach quantitative 3D electron microscopy.     

Highly reproducible quantification of apoptotic cells using micropatterned culture of neurons

The quantification of apoptotic cells is an integral component of many cell-based assays in biological studies. However, current methods for quantifying apoptotic cells using conventional random cultures have shown great limitations, especially for the quantification of primary neurons. Randomly distributed neurons under primary culture conditions can lead to biased estimates, and vastly different estimates of cell numbers can be produced within the same experiment. In this study, we developed a simple, accurate, and reliable technique for quantifying apoptotic neurons by means of micropatterned cell cultures. A polydimethylsiloxane (PDMS) microstencil was used as a physical mask for micropatterning cell cultures, and primary granular neurons (GNs) were successfully cultured within the micropattern-confined regions and homogeneously distributed over the entire field of each pattern. As compared with the conventional method based on random cultures, the micropatterned culture method allowed for highly reproducible quantification of apoptotic cells. These results were also confirmed by using GNs derived from mice with neurodegeneration. We hope that this micropatterning method based on the use of a PDMS microstencil can overcome the technical obstacles existing in current biological studies and will serve as a powerful tool for facilitating the study of apoptosis-involved diseases.     

Determination of hyaluronan molecular mass distribution in human breast milk

Hyaluronan (HA) in human milk mediates host responses to microbial infection via TLR4- and CD44-dependent signaling. Signaling by HA is generally size specific. Because pure HA with average molecular mass (M) of 35 kDa can elicit a protective response in intestinal epithelial cells, it has been proposed that human milk HA may have a bioactive low-M component. Here we report the size distribution of HA in human milk samples from 20 unique donors. A new method for HA analysis, employing ion exchange (IEX) chromatography to fractionate HA by size and specific quantification of each size fraction by competitive enzyme-linked sorbent assay (ELSA), was developed. When separated into four fractions, milk HA with M ? 20 kDa, M ∼ 20 to 60 kDa, and M ∼ 60 to 110 kDa comprised averages of 1.5, 1.4, and 2.0% of the total HA, respectively. The remaining 95% was HA with M ? 110 kDa. Electrophoretic analysis of the higher M HA from 13 samples showed nearly identical M distributions, with an average M of approximately 440 kDa. This higher M HA component in human milk is proposed to bind to CD44 and to enhance human beta defensin 2 (HBD2) induction by the low-M HA components.     

Quantification in oncologic FDG-PET: A scientific overview

F18-Fluorodeoxyglose Positron Emission Tomography (FDG-PET) has gained wide acceptance in cancer patient management for initial diagnosis, staging, prognosis and patient monitoring. FDG-PET is also of interest for radiotherapy treatment planning. FDG-PET imaging has the potential to yield a quantitative assessment of glucose metabolism in tumours, which might be extremely helpful for differential diagnosis, patient monitoring and delineation of the biologically active tumour volume. The most accurate approach to assess the glucose metabolic rate (GMR) is by combining dynamic PET imaging and kinetic analysis. However, this requires a lengthy acquisition and an estimate of the arterial input function, which make the approach unpractical for clinical use. Several alternative strategies have thus been proposed to assess the GMR in tumours more easily. The presentation will review these different approaches, from the simplest one (using the Standardized uptake values [SUV] as done almost in all clinical centres) to more advanced approaches (for instance requiring at least one blood sample drawing).     

The role of statistical power analysis in quantitative proteomics

Designing an experiment for quantitative proteomic analysis is not a trivial task. One of the key factors influencing the success of such studies is the number of biological replicates included in the analysis. This, along with the measured variation will determine the statistical power of the analysis. Presented is a simple yet powerful analysis to determine the appropriate sample size required for reliable and reproducible results, based on the total variation (technical and biological). This approach can also be applied retrospectively for the interpretation of results as it takes into account both significance (p value) and quantitative difference (fold change) of the results.     

Analytical method for ubiquinone-9 and ubiquinone-10 in rat tissues by liquid chromatography/turbo ion spray tandem mass spectrometry with 1-alkylamine as an additive to the mobile phase

We investigated the application of 1-alkylamines, as additives to the mobile phase, to a quantification method for ubiquinone-9 (CoQ9) and ubiquinone-10 (CoQ10) in rat thigh muscle and heart using liquid chromatography-tandem mass spectrometry (LC-MS/MS). In the optimization of the analytical method, we found that 1-alkylamines mixed with CoQ9 and CoQ10 in the turbo ion sprayed solution formed the 1-alkylammonium adduct molecules of these compounds during the ionization process and that the intensity of the adduct ions was considerably higher than that of the protonated molecules ([M+H]+) of these compounds. Furthermore, we investigated a variety of 1-alkylamines in the mobile phase for LC-MS/MS analysis to select the most appropriate 1-alkylamine for higher sensitivities of CoQ9 and CoQ10. After these examinations, we found that methylamine was the most suitable additive for the mobile phase, allowing a 12.5-fold gain in signal intensity in the full ion mass spectrum compared with that without methylamine. The internal standard (IS) used was ubiquinone-11 (CoQ11) for each analyte. The analytes and IS were extracted with methanol from the tissue homogenates at neutral pH and were injected into an LC-MS/MS with a turbo ion spray interface. The calibration curves for CoQ9 (5-500 microg/g in thigh muscle and 50-10,000 microg/g in heart) and CoQ10 (1-500 microg/g in thigh muscle and 10-10,000 microg/g in heart) showed good linearity. The method was precise; the relative standard deviations of the method for rat thigh muscle were not more than 13.5 and 9.0% for CoQ9 and CoQ10, respectively, and those for rat heart were not more than 6.7 and 5.4% for CoQ9 and CoQ10, respectively. The accuracies of the method for both rat thigh muscle and heart were good, with the deviations between the nominal concentration and calculated concentration of CoQ9 and CoQ10 typically being within 12.3 and 4.3%, respectively. This method provided reliable concentration levels for CoQ9 and CoQ10 in rat thigh muscle and heart.