Progranulin is expressed within motor neurons and promotes neuronal cell survival

Background

Progranulin is a secreted high molecular weight growth factor bearing seven and one half copies of the cysteine-rich granulin-epithelin motif. While inappropriate over-expression of the progranulin gene has been associated with many cancers, haploinsufficiency leads to atrophy of the frontotemporal lobes and development of a form of dementia (frontotemporal lobar degeneration with ubiquitin positive inclusions, FTLD-U) associated with the formation of ubiquitinated inclusions. Recent reports indicate that progranulin has neurotrophic effects, which, if confirmed would make progranulin the only neuroprotective growth factor that has been associated genetically with a neurological disease in humans. Preliminary studies indicated high progranulin gene expression in spinal cord motor neurons. However, it is uncertain what the role of Progranulin is in normal or diseased motor neuron function. We have investigated progranulin gene expression and subcellular localization in cultured mouse embryonic motor neurons and examined the effect of progranulin over-expression and knockdown in the NSC-34 immortalized motor neuron cell line upon proliferation and survival.

Results

In situ hybridisation and immunohistochemical techniques revealed that the progranulin gene is highly expressed by motor neurons within the mouse spinal cord and in primary cultures of dissociated mouse embryonic spinal cord-dorsal root ganglia. Confocal microscopy coupled to immunocytochemistry together with the use of a progranulin-green fluorescent protein fusion construct revealed progranulin to be located within compartments of the secretory pathway including the Golgi apparatus. Stable transfection of the human progranulin gene into the NSC-34 motor neuron cell line stimulates the appearance of dendritic structures and provides sufficient trophic stimulus to survive serum deprivation for long periods (up to two months). This is mediated at least in part through an anti-apoptotic mechanism. Control cells, while expressing basal levels of progranulin do not survive in serum free conditions. Knockdown of progranulin expression using shRNA technology further reduced cell survival.

Conclusion

Neurons are among the most long-lived cells in the body and are subject to low levels of toxic challenges throughout life. We have demonstrated that progranulin is abundantly expressed in motor neurons and is cytoprotective over prolonged periods when over-expressed in a neuronal cell line. This work highlights the importance of progranulin as neuroprotective growth factor and may represent a therapeutic target for neurodegenerative diseases including motor neuron disease.     

An expert system for the selection of criteria for selectivity optimization in high-pressure liquid chromatography

Summary Systematic procedures for the optimization of chromatographic selectivity require objective criteria to characterize the quality of separation in a chromatogram. Numerous criteria have been suggested. Different criteria yield different results and the choice will depend on a large number of factors. It is genuinely difficult to select the most suitable criterion in a particular situation. For these reasons, an expert system has been developed to assist chromatographers in the selection of optimization criteria. A structured representation of the required knowledge and its implementation in an expert-system shell are presented in this paper.     

A simple procedure for the rapid optimization of reversed-phase separations with ternary mobile phase mixtures

Summary A simple rapid procedure is described for estimating optimum compositions of ternary mobile phase mixtures for the separation of samples by reversed-phase liquid chromatography (RPLC). Retention data in two iso-eluotropic binary mobile phase mixtures (mixtures with equal retention times) are required to initiate the procedure. The logarithm of the capacity factor is assumed to vary linearly with the composition of isoeluotropic ternary mixtures formed by mixing the two limiting binaries. Using the product of resolution factors of adjacent peaks as the criterion, an optimum ternary composition is then calculated. After a chromatogram has been obtained with the predicted optimum ternary mobile phase, the procedure is repeated until no further improvement can be achieved. Examples of the application of the present procedure are described to illustrate its effectiveness.     

Supercritical-fluid chromatography: Open columns vs packed columns

Supercritical-fluid chromatography (SFC) may be performed either in open (capillary) columns or in packed columns. Both approaches have been demonstrated numerous times in the literature. In this contribution it will be attempted to discuss some aspects of columns for SFC. Some advantages of both types of columns will be identified. Attention is paid to the stationary phase film thickness, the speed of analysis, and to the maximum number of theoretical plates (effect of column pressure drop). In this brief contribution many questions will be left unanswered and many significant aspects will be left undiscussed, illustrating that much research remains to be done in this area.     

Characterisation of fluorinated copolymers using liquid chromatography coupled on-line to mass spectrometry, with automated data interpretation

A perfluorinated co-polyether was characterised in terms of the number and type of functional end groups present on the molecule. The polymer was separated chromatographically according to the polarity of the polymer end groups and the separation was coupled on-line to an electrospray ionisation time-of-flight mass spectrometer. Negative-mode electrospray ionisation of the relatively non-polar polymer was achieved by post-column addition of a polar constituent to the mobile phase. LC-MS analysis of polydisperse analytes is a highly data intensive technique and manual interpretation of the resulting data can be extremely complicated, especially for the characterisation of copolymers or polymers with end-group distributions. In order to overcome this problem, an automated data-analysis program was developed that allows the user to quickly determine the probability of the presence of a certain molecular compound. The program evaluated data in terms of the possible combinations of monomeric units and end groups that could be combined to make up the mass values present in the mass spectra. Using the program, the polymer can be characterised according to its molar-mass, chemical-composition and functionality-type distributions. A graphical representation of the LC-MS analyses is presented to give a clear overview of the two-dimensional separation. The identification of various end groups on the polymer is also presented graphically, as (a) a histogram (frequency of matches versus time), (b) a two-dimensional plot (masses that match the particular end group combination versus LC retention time) and (c) a plot of average chemical composition versus LC retention time.     

Modelling chromatographic behaviour as a function of pH and solvent composition in RPLC

Summary In this work we establish the basic layout of IONICS, an expert system for optimizing the separation of ionogenic solutes in Reversed-Phase Liquid Chromatography, using the pH and the organic-modifier concentration of the mobile phase as parameters. We also present REMO, a front-end system that automates the retention modelling stage, based on a 9-parameter model. This system uses a scale transformation to suppress several numerical problems previously observed and features a strategy for automatic calculation of an initial approximation to the model optimum. The successful application of this system to a set of seven drugs is described. The final models are accurate and have smaller numerical problems. We also describe the use of a genetic algorithm instead of classical non-linear least-squares for fitting the model to the experimental data. Results indicate that genetic algorithms are a valuable, complementary tool for retention modelling.     

Predicting the behaviour of polydisperse polymers in liquid chromatography under isocratic and gradient conditions

In this paper we describe how the existing theories to describe retention and peak width in isocratic and gradient-elution liquid chromatography can be expanded to describe the retention behaviour of natural and synthetic repetitive polymers, which feature distributions of molecules with different masses (and often different structures) rather than unambiguous molecular formulas. For polydisperse samples, it is vital that the model accommodates (isocratic) elution of sample components before the onset of a gradient, elution during the gradient, and elution after the completion of the gradient. The expanded models can readily be implemented in standard spreadsheet software, such as Excel. We have created such spreadsheets based on the conventional model for retention in reversed-phase liquid chromatography (RPLC) and on two different models for retention in normal-phase liquid chromatography. The implementation allows an easy visualization of the theoretical concept. Up to three different polymeric series can be entered, with a total of up to 100 peaks being computed and displayed in isocratic or gradient-elution chromatograms. Also visualized are "retention models" (diagrams of isocratic retention vs. composition) and "calibration curves" (retention or elution composition vs. molecular mass or degree of polymerization). The coefficients in the isocratic retention model may be correlated, as has often been observed in RPLC. It is shown that under certain conditions such a correlation corresponds to the existence of so-called critical (isocratic) conditions, at which all the members of a given polymeric series (same composition and end groups, different number of repeat units) show co-elution.     

Robust isocratic liquid chromatographic separation of functional poly(methyl methacrylate)

The separation of telechelic poly(methyl methacrylate) (PMMA) prepolymers based on the number of end-groups under critical liquid chromatography (LC) conditions has been studied using a bare-silica column, which can interact with polar functional groups. The critical solvent compositions for non-functional, mono-functional and bi-functional PMMAs were determined in normal-phase LC using mixtures of acetonitrile and dichloromethane (DCM) of varying composition as the mobile phase. The telechelic prepolymers were successfully separated according to hydroxyl (OH) functionality (with zero, one, or two OH groups, respectively) under the critical conditions, in which fast (5 min), base-line separations were obtained independent of molecular weight. Changing the column temperature, flow rate, and mobile-phase composition within a certain range did not affect the functionality separation. Therefore this isocratic LC separation method is quite robust. Evaporative light-scattering detector (ELSD) calibration curves were used for the quantitative analysis of functional PMMA prepolymers.     

Characterization of glycerin-based polyols by capillary electrophoresis

Methods based on capillary electrophoresis (CE) have been developed to obtain the molar mass distribution (MMD) of glycerin-based polyols and details on the presence of mono- and difunctional byproducts in technical samples. Prior to the analyses the hydroxy end-groups of the trifunctional polyols were converted to chargeable and UV-active moieties with phthalic anhydride (PhAH) as the derivatization reagent. With a method of capillary zone electrophoresis (CZE) samples of glycerin-based polyols with average molar masses up to 6000 were separated according to their charge-to-size ratio. The separations were carried out with a buffer solution containing 50% (v/v) acetonitrile and 10 mM sodium tetraborate, and for detection UV absorption at 220 nm was measured. An approximately linear relation between the reciprocal of the effective mobilities and the degree of polymerisation of the glycerin-based polyols was found. Therefore, the proposed CZE system could be used to determine the degree of polymerisation and polydispersity of technical glycerin-based polyol samples. The effect of the presence of sodium dodecyl sulfate (SDS) in the buffer solution on the CE separation of linear polyethylene glycols (PEGs), polypropylene glycols (PPGs) and ethylene oxide-propylene oxide (EO-PO) copolymers with different molar masses was investigated. The interaction between the charged polymer derivatives and SDS ions in solution increased strongly with the degree of polymerisation and the amount PO in the chain of the polymeric compounds. This behaviour made it possible to invert the migration order of EO-PO containing polymers of different size. With a background electrolyte (BGE) composition of 10mM SDS and 25% (v/v) acetonitrile in borate buffer mono- and difunctional byproducts were separated from the main glycerin-based polyols based on their number of end-groups. Accurate quantities for the mono- and difunctional impurities in technical glycerin-based polyol products were determined.