Transformation of tomato with a bacterial codA gene enhances tolerance to salt and water stresses

Genetically engineered tomato (Lycopersicon esculentum) with the ability to synthesize glycinebetaine was generated by introducing the codA gene encoding choline oxidase from Arthrobacter globiformis. Integration of the codA gene in transgenic tomato plants was verified by PCR analysis and DNA blot hybridization. Transgenic expression of gene was verified by RT-PCR analysis and RNA blot hybridization. The codA-transgenic plants showed higher tolerance to salt stress during seed germination, and subsequent growth of young seedlings than wild-type plants. The codA transgene enhanced the salt tolerance of whole plants and leaves. Mature leaves of codA-transgenic plants revealed higher levels of relative water content, chlorophyll content, and proline content than those of wild-type plants under salt and water stresses. Results from the current study suggest that the expression of the codA gene in transgenic tomato plants induces the synthesis of glycinebetaine and improves the tolerance of plants to salt and water stresses.     

Sulfo-N-hydroxysuccinimide interferes with bicinchoninic acid protein assay

A high-performance liquid chromatography (HPLC)-based fluorometric method for measuring serine hydroxymethyltransferase (SHMT) activity toward formation of serine and (6S)-H₄PteGlu_n has been developed. In this method, serine formed by SHMT activity is reacted with 4-fluoro-7-nitro-2,1,3-benzoxadiazole (NBD-F) to form the fluorescent adduct NBD–serine. The fluorescent assay components are then separated by reversed-phase chromatography, and NBD–serine is quantified by comparison with standards. This method was used to determine the K_m and k_cat values for 5,10-CH₂–H₄PteGlu₅ of an SHMT from Arabidopsis thaliana. These data represent the first determination of kinetic parameters for (6S)-5,10-CH₂–H₄PteGlu₅ for an SHMT from any organism.     

Analysis of conformational variation in macromolecular structural models

Experimental conditions or the presence of interacting components can lead to variations in the structural models of macromolecules. However, the role of these factors in conformational selection is often omitted by in silico methods to extract dynamic information from protein structural models. Structures of small peptides, considered building blocks for larger macromolecular structural models, can substantially differ in the context of a larger protein. This limitation is more evident in the case of modeling large multi-subunit macromolecular complexes using structures of the individual protein components. Here we report an analysis of variations in structural models of proteins with high sequence similarity. These models were analyzed for sequence features of the protein, the role of scaffolding segments including interacting proteins or affinity tags and the chemical components in the experimental conditions. Conformational features in these structural models could be rationalized by conformational selection events, perhaps induced by experimental conditions. This analysis was performed on a non-redundant dataset of protein structures from different SCOP classes. The sequence-conformation correlations that we note here suggest additional features that could be incorporated by in silico methods to extract dynamic information from protein structural models.     

Modified Nanoprecipitation Method for Preparation of Cytarabine-Loaded PLGA Nanoparticles

The present investigation was aimed at developing cytarabine-loaded poly(lactide-coglycolide) (PLGA)-based biodegradable nanoparticles by a modified nanoprecipitation which would have sustained release of the drug. Nine batches were prepared as per 3² factorial design to optimize volume of the co-solvent (0.22–0.37 ml) and volume of non-solvent (1.7–3.0 ml). A second 3² factorial design was used for optimization of drug: polymer ratio (1:5) and stirring time (30 min) based on the two responses, mean particle size (125 ± 2.5 nm), and percentage entrapment efficiency (21.8 ± 2.0%) of the Cyt-PLGA nanoparticles. Optimized formulation showed a zeta potential of −29.7 mV indicating good stability; 50% w/w of sucrose in Cyt-PLGA NP was added successfully as cryoprotectant during lyophilization for freeze-dried NPs and showed good dispersibility with minimum increase in their mean particle sizes. The DSC thermograms concluded that in the prepared PLGA NP, the drug was present in the amorphous phase and may have been homogeneously dispersed in the PLGA matrix. In vitro drug release from the pure drug was complete within 2 h, but was sustained up to 24 h from PLGA nanoparticles with Fickian diffusion. Stability studies showed that the developed PLGA NPs should be stored in the freeze-dried state at 2–8°C where they would remain stable in terms of both mean particle size and drug content for 2 months.