The Glycerol‐3‐Phosphate Acyltransferase TbGAT is Dispensable for Viability and the Synthesis of Glycerolipids in Trypanosoma brucei

Glycerolipids are the main constituents of biological membranes in Trypanosoma brucei, which causes sleeping sickness in humans. Importantly, they occur as a structural component of the glycosylphosphatidylinositol lipid anchor of the abundant cell surface glycoproteins procyclin in procyclic forms and variant surface glycoprotein in bloodstream form, that play crucial roles for the development of the parasite in the insect vector and the mammalian host, respectively. The present work reports the characterization of the glycerol‐3‐phosphate acyltransferase TbGAT that initiates the biosynthesis of ester glycerolipids. TbGAT restored glycerol‐3‐phosphate acyltransferase activity when expressed in a Leishmania major deletion strain lacking this activity and exhibited preference for medium length, unsaturated fatty acyl‐CoAs. TbGAT localized to the endoplasmic reticulum membrane with its N‐terminal domain facing the cytosol. Despite that a TbGAT null mutant in T. brucei procyclic forms lacked glycerol‐3‐phosphate acyltransferase activity, it remained viable and exhibited similar growth rate as the wild type. TbGAT was dispensable for the biosynthesis of phosphatidylcholine, phosphatidylinositol, phosphatidylserine, and GPI‐anchored protein procyclin. However, the null mutant exhibited a slight decrease in phosphatidylethanolamine biosynthesis that was compensated with a modest increase in production of ether phosphatidylcholine. Our data suggest that an alternative initial acyltransferase takes over TbGAT's function in its absence.     

Mechanistic aspects of chiral discrimination by surface‐immobilized α1‐acid glycoprotein

The immobilization of the globular protein α‐1‐acid glycoprotein (AGP) onto silica gel led to the commercial availability of an AGP column, which has a high enantioselectivity. The enantioselectivity of AGP columns has been demonstrated in numerous applications. Due to potential AGP structural changes occurring upon its immobilization, the interaction between particular pairs of enantiomers and the stationary phase is very difficult to assess. Therefore, in this paper we report a mechanistic study that probes the nature of these types of interactions. As model ligands, we employed two LTD₄ antagonists (L‐708, 738, MK0476, and their enantiomers) which have a rigid backbone consisting of a conjugated aromatic region and a side chain which is terminated with a carboxylic functional group. The difference between the two compounds is a two‐fluorine versus one‐chlorine substituent in the aromatic region of the molecule. To study the interaction between the two homologues and the AGP stationary phase, several parameters were varied, including pH, ionic strength, organic modifier, and temperature. van't Hoff plots were constructed and found to be nonlinear. They could, however, be divided into two linear regions, one from 0°C to ∼30°C, and another from 39°C to 50°C. The region at lower temperature implied that the separation was entropy‐dominated while the separation at higher temperature was enthalpically driven. The transition from the entropic to the enthalpically driven separation region suggested that bound AGP undergoes a conformational change. Fluorescence spectroscopy performed on the AGP stationary phase found evidence for a limited conformational transition at a similar temperature, consistent with this hypothesis. Chirality 11:224–232, 1999. © 1999 Wiley‐Liss, Inc.     

Inkjet Printed Large Area Multifunctional Smart Windows

Multifunctional smart windows are successfully fabricated by assembling inkjet printed CeO₂/TiO₂ and WO₃/poly(3,4‐ethylenedioxythiophene)‐poly(styrene sulfonate) films as the anode and cathode, respectively. Large optical modulation (more than 70% at 633 nm), fast switching (12.7/15.8 s), high coloration efficiency (108.9 cm² C^?1), and excellent bistability are achieved by the assembled smart windows. The multifunctional smart window not only can be used as typical electrochromic window, which can change its color to dynamically control the solar radiation transmittance through windows or protect privacy during the day, but also can be used as energy‐storage device simultaneously. The designed smart window releases the stored energy to light the bulbs and power other electronic devices at night while its color gradually reverts to transparent state. Moreover, the level of stored energy can be monitored via the visually detectable reversible color variation of the window. The fascinating multifunctional smart windows exhibit promising features for a wide range of applications in buildings, airplanes, automobiles, etc.     

Wearable All‐Fabric‐Based Triboelectric Generator for Water Energy Harvesting

Realizing energy harvesting from water flow using triboelectric generators (TEGs) based on our daily wearable fabric or textile has practical significance. Challenges remain on methods to fabricate conformable TEGs that can be easily incorporated into waterproof textile, or directly harvest energy from water using hydrophobic textile. Herein, a wearable all‐fabric‐based TEG for water energy harvesting, with additional self‐cleaning and antifouling properties is reported for the first time. Hydrophobic cellulose oleoyl ester nanoparticles (HCOENPs) are prepared from microcrystalline cellulose, as a low‐cost and nontoxic coating material to achieve superhydrophobic coating on fabrics, including cotton, silk, flax, polyethylene terephthalate (PET), polyamide (nylon), and polyurethane. The resultant PET fabric‐based water‐TEG can generate an instantaneous output power density of 0.14 W m^?2 at a load resistance of 100 MΩ. An all‐fabric‐based dual‐mode TEG is further realized to harvest both the electrostatic energy and mechanical energy of water, achieving the maximum instantaneous output power density of 0.30 W m^?2. The HCOENPs‐coated fabric provides excellent breathability, washability, and environmentally friendly fabric‐based TEGs, making it a promising wearable self‐powered system.     

Demonstration of improvements to the bioluminescence resonance energy transfer (BRET) technology for the monitoring of G protein-coupled receptors in live cells

The bioluminescence resonance energy transfer (BRET) technique has become extremely popular for studying protein-protein interactions in living cells and real time. Of particular interest is the ability to monitor interactions between G protein-coupled receptors, such as the thyrotropin-releasing hormone receptor (TRHR), and proteins critical for regulating their function, such as beta-arrestin. Using TRHR/beta-arrestin interactions, we have demonstrated improvements to all 3 generations of BRET (BRET(1), BRET(2), and eBRET) by using the novel forms of luciferase, Rluc2 and Rluc8, developed by the Gambhir laboratory. Furthermore, for the 1st time it was possible to use the BRET2 system to detect ligand-induced G protein-coupled receptor/beta-arrestin interactions over prolonged periods (on the scale of hours rather than seconds) with a very stable signal. As demonstrated by our Z'-factor data, these luciferases increase the sensitivity of BRET to such an extent that they substantially increase the potential applicability of this technology for effective drug discovery high-throughput screening.     

Calibration of a fuzzy cellular automata model of urban dynamics in Saudi Arabia

An urban cellular automata model has been designed, developed and tested for the city of Riyadh in Saudi Arabia as a research project. The model uses fuzzy set theory to capture the uncertainty associated with the transition rules and employs two automated methods of calibration: a genetic algorithm and simulated annealing. This paper describes the results of the calibration process for three time periods: 1987–1997, 1997–2005 and 1987–2005, which are characterised by different patterns of urban development. Nine different scenarios have been devised to capture the effect of different primary drivers to development including transport, urban agglomeration and topography and their interactions. The results showed that the genetic algorithm produces a better calibrated model than parallel simulated annealing. The model that contains all primary drivers and all interactions produced the best performing calibrated model overall.