Bilayer Hydrogel Sheet-Type Intraocular Microrobot for Drug Delivery and Magnetic Nanoparticles Retrieval.

By virtue of minimum invasiveness and driving ability using a magnetic field, drug delivery with the aid of a microrobot has an inherent potential for targeted treatment for the eye. The use of microrobots, however, has the limitation of leaving magnetic nanoparticles (MNPs) in the eye that can cause side effects. In this study, a bilayer hydrogel microrobot capable of retrieving MNPs after drug delivery is proposed that overcomes the limitations of existing microrobots. The bilayer hydrogel microrobot is composed of an MNPs layer and a therapeutic layer. Upon applying an alternating magnetic field (AMF) at the target point, the therapeutic layer is dissolved to deliver drug particles, and then the MNPs layer can be retrieved using a magnetic field. The targeting and MNPs retrieval tests validate the drug delivery and MNPs retrieval ability of the microrobot. The ex vivo bovine vitreous and in vitro cell tests demonstrate the potential for the vitreous migration of the microrobot and the therapeutic effect against retinoblastoma Y79 cancer cells. This bilayer hydrogel sheet-type intraocular microrobot provides a new drug delivery paradigm that overcomes the limitations of microrobot by maintaining the advantages of conventional microrobots in delivering drugs to the eye and retrieving MNPs after drug delivery.

Characterization of Saccharomyces cerevisiae promoters for heterologous gene expression in Kluyveromyces marxianus.

Kluyveromyces marxianus is now considered one of the best choices of option for industrial applications of yeast because the strain is able to grow at high temperature, utilizes various carbon sources, and grows fast. However, the use of K. marxianus as a host for industrial applications is still limited. This limitation is largely due to a lack of knowledge on the characteristics of the promoters since the time and amount of protein expression is strongly dependent on the promoter employed. In this study, four well-known constitutive promoters (P(CYC), P(TEF), P(GPD), and P(ADH)) of Saccharomyces cerevisiae were characterized in K. marxianus in terms of protein expression level and their stochastic behavior. After constructing five URA3-auxotrophic K. marxianus strains and a plasmid vector, four cassettes each comprising one of the promoters--the gene for the green fluorescence protein (GFP)--CYC1 terminator (T(CYC)) were inserted into the vector. GFP expression under the control of each one of the promoters was analyzed by reverse transcription PCR, fluorescence microscopy, and flow cytometer. Using these combined methods, the promoter strength was determined to be in the order of P(GPD) > P(ADH) ∼ P(TEF) >> P(CYC). All promoters except for the P(CYC) exhibited three distinctive populations, including non-expressing cells, weakly expressing cells, and strongly expressing cells. The relative ratios between populations were strongly dependent on the promoter and culture time. Forward scattering was independent of GFP fluorescence intensity, indicating that the different fluorescence intensities were not just due to different cell sizes derived from budding. It also excluded the possibility that the non-expressing cells resulted from plasmid loss because plasmid stability was maintained at almost 100 % over the culture time. The same cassettes, cloned into a single copy plasmid pRS416 and transformed into S. cerevisiae, showed only one population. When the cassettes were integrated into the chromosome, the stochastic behavior was markedly reduced. These combined results imply that the gene expression stochasticity should be overcome in order to use this strain for delicate metabolic engineering, which would require the co-expression of several genes.

Identification of gene targets eliciting improved alcohol tolerance in Saccharomyces cerevisiae through inverse metabolic engineering.

The economic production of biofuels from renewable biomass using Saccharomyces cerevisiae requires tolerance to high concentrations of sugar and alcohol. Here we applied an inverse metabolic engineering approach to identify endogenous gene targets conferring improved alcohol tolerance in S. cerevisiae. After transformation with a S. cerevisiae genomic library, enrichment of the transformants exhibiting improved tolerance was performed by serial subculture in the presence of iso-butanol (1%). Through sequence analysis of the isolated plasmids from the selected transformants, four endogenous S. cerevisiae genes were identified as overexpression targets eliciting improved tolerance to both iso-butanol and ethanol. Overexpression of INO1, DOG1, HAL1 or a truncated form of MSN2 resulted in remarkably increased tolerance to high concentrations of iso-butanol and ethanol. Overexpression of INO1 elicited the highest ethanol tolerance, resulting in higher titers and volumetric productivities in the fermentation experiments performed with high glucose concentrations. In addition, the INO1-overexpressing strain showed a threefold increase in the specific growth rate as compared to that of the control strain under conditions of high levels of glucose (10%) and ethanol (5%). Although alcohol tolerance in yeast is a complex trait affected by simultaneous interactions of many genes, our results using a genomic library reveal potential target genes for better understanding and possible engineering of metabolic pathways underlying alcohol tolerance phenotypes.