4 research outputs found
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The cyanobacterial rhomboid protease is a regulator of the CCM
Cyanobacteria are aquatic photosynthetic bacteria and useful models for study of the chloroplast and photosynthesis. We are studying a ‘rhomboid’ membrane-located proteases in Synechocystis sp. PCC 6803, which appears to function as a previously undiscovered regulator of the carbon concentrating mechanism (CCM) of this phototroph.
Rhomboids are almost ubiquitous across evolution, and are known to activate diverse cellular processes via proteolysis of their specific, membrane-sequestered substrates. Although this well-conserved family has solved crystal structures of bacterial enzymes such as Escherichia coli GlpG, ironically, most work has been carried out on eukaryotic representatives. Following our study of the Arabidopsis thaliana chloroplast RBL10 protease, we identified cyanobacterial orthologues with the aim of discovering if roles might be conserved between these and organellar rhomboids. Molecular biology and reverse-genetics studies were made on slr1461, a mutant in the single rhomboid protease of Synechocystis. When photosynthetic parameters were investigated, it could be seen that inactivation of slr1461 did not affect nonphotochemical quenching, unlike the chloroplast rbl10 mutant, but Slr1461 was required for reduction of photosynthetic activity in mixotrophic conditions. This reduction allows cyanobacteria to avoid expending energy on the uptake of CO2 when an organic carbon source can be utilised: as might be expected, therefore, Slr1461 transcription was linked with downregulation of genes encoding proteins facilitating high-affinity CO2 import under high CO2 and mixotrophic conditions. Quantitative RT-PCR of CCM network genes suggested that Slr1461 is located upstream of known regulators, including another membrane protease, the Slr0228 FtsH, and a central, controlling transcription factor NdhR
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Imaging polyphenolic therapeutic compounds in a eukaryotic model microbe
Flavonoids are polyphenolic metabolites that have a range of physiological and developmental functions in plants. They are the focus of much work as potential therapeutics, although investigation of specific mode of action remains a notably under-researched area. Monitoring transport and location of flavonoids in cells is difficult because, despite a role in UV-absorption in plants, they emit only low levels of fluorescence. Visualising them in plants is possible using the Naturstoff reagent (NA), reported historically to be a polyphenol-fluorescence-enhancing stain. We explored therefore whether this agent was effective during preclinical assessment of polyphenolic therapeutics in a microbial-model.
The eukaryote Dictyostelium discoideum has been shown to be a useful model when identifying novel drug targets for treating various diseases. For example, in the case of polycystic kidney disease, naringenin decreased Dictyostelium cell division whereas a polycystin-2-null Dictyostelium line was resistant to the flavonoid, and, subsequently, naringenin treatment proved to reduce cyst-formation in mammalian-kidney model cell lines1. To monitor transport and site of action of the drugs investigated in such studies, we developed a method using NA-staining in this model organism. A range of polyphenolics were assayed in cells, cell-extracts and the cell-washes, and NA-enhanced imaging was evaluated in parallel with LCMS-quantification. NA-enhanced fluorescence of compounds at therapeutically relevant concentrations proved an effective and qualitative measure of transport and localisation in Dictyostelium, and could be used in concert with localisation dyes. Fluorescence-enhancement is limited to a subset of flavonoids, however, and not more widely applicable in our studies to date
Exploiting Intrastructure Information for Secondary Structure Prediction with Multifaceted Pipelines
Predicting the secondary structure of proteins is still a typical step in several bioinformatic tasks, in particular, for tertiary structure prediction. Notwithstanding the impressive results obtained so far, mostly due to the advent of sequence encoding schemes based on multiple alignment, in our view the problem should be studied from a novel perspective, in which understanding how available information sources are dealt with plays a central role. After revisiting a well-known secondary structure predictor viewed from this perspective ( with the goal of identifying which sources of information have been considered and which have not), we propose a generic software architecture designed to account for all relevant information sources. To demonstrate the validity of the approach, a predictor compliant with the proposed generic architecture has been implemented and compared with several state-of-the-art secondary structure predictors. Experiments have been carried out on standard data sets, and the corresponding results confirm the validity of the approach. The predictor is available at http://iasc.diee.unica.it/ssp2/ through the corresponding web application or as downloadable stand-alone portable unpack-and-run bundle
Technology assessment of future intercity passenger transporation systems. Volume 2: Identification of issues affecting intercity transportation
Papers on major issues and trends that affect the future of intercity transportation are presented. Specific areas covered include: political, social, technological, institutional, and economic mechanisms, the workings of which determine how future intercity transporation technologies will evolve and be put into service; the major issues of intercity transportation from the point of view of reform, including candidate transporation technologies; and technical analysis of trends affecting the evolution of intercity transportation technologies