User guide for the discovery of potential drugs via protein structure prediction and ligand docking simulation

Journal of Microbiology - Due to accumulating protein structure information and advances in computational methodologies, it has now become possible to predict protein-compound interactions. In...     

User guides for biologists to learn computational methods

Journal of Microbiology - System-wide studies of a given molecular type are referred to as “omics.” These include genomics, proteomics, and metabolomics, among others. Recent...     

Systems metabolic engineering of microorganisms for natural and non-natural chemicals

Growing concerns over limited fossil resources and associated environmental problems are motivating the development of sustainable processes for the production of chemicals, fuels and materials from renewable resources. Metabolic engineering is a key enabling technology for transforming microorganisms into efficient cell factories for these compounds. Systems metabolic engineering, which incorporates the concepts and techniques of systems biology, synthetic biology and evolutionary engineering at the systems level, offers a conceptual and technological framework to speed the creation of new metabolic enzymes and pathways or the modification of existing pathways for the optimal production of desired products. Here we discuss the general strategies of systems metabolic engineering and examples of its application and offer insights as to when and how each of the different strategies should be used. Finally, we highlight the limitations and challenges to be overcome for the systems metabolic engineering of microorganisms at more advanced levels.     

Mathematical modeling of translation initiation for the estimation of its efficiency to computationally design mRNA sequences with desired expression levels in prokaryotes

Background  

Within the emerging field of synthetic biology, engineering paradigms have recently been used to design biological systems with novel functionalities. One of the essential challenges hampering the construction of such systems is the need to precisely optimize protein expression levels for robust operation. However, it is difficult to design mRNA sequences for expression at targeted protein levels, since even a few nucleotide modifications around the start codon may alter translational efficiency and dramatically (up to 250-fold) change protein expression. Previous studies have used ad hoc approaches (e.g., random mutagenesis) to obtain the desired translational efficiencies for mRNA sequences. Hence, the development of a mathematical methodology capable of estimating translational efficiency would greatly facilitate the future design of mRNA sequences aimed at yielding desired protein expression levels.     

Mathematical modeling of humoral immune response suppression by passively administered antibodies in mice

Although passively administered antibodies are known to suppress the humoral immune response, the mechanism is not fully understood. Here, we developed a mathematical model to better understand the suppression phenomena in mice. Using this model, we tested the generally accepted but difficult to prove "epitope masking hypothesis." To simulate the hypothesis and clearly observe masking of epitopes, we modeled epitope-antibody and epitope-B-cell receptor interactions at the epitope level. To validate this model, we simulated the effect of the antibody affinity and quantity as well as the timing of administration on the suppression, and we compared the results with experimental observations reported in the literature. We then developed a simulation to determine whether the epitope-masking hypothesis alone can explain known immune suppression phenomena, especially the conflicting results on F(ab')2 fragment-induced suppression, which has been shown to be no suppression, or similar to or up to 1000-fold weaker than the suppression by intact antibody. We found that suppression was caused by a synergistic effect of both epitope masking and rapid antigen clearance. Although the latter hypothesis has lost support because FcgammaRI/III mutant mice show antibody-mediated suppression, our simulations predict that, even in FcgammaRI/III mutant mice, the immune response can be suppressed according to the antibody affinity. Our model also effectively reproduced the conflicting results obtained using F(ab')2 fragments. Thus, in contrast to the idea that the F(ab')2 results prove the FcgammaRIIb involvement in suppression, our mathematical model suggests that the epitope-masking hypothesis together with rapid antigen clearance explains the conflicting results.     

MicroRNA signatures associated with thioacetamide-induced liver fibrosis in mice

Multiple etiologies of liver injury are associated with fibrosis in which the key event is the activation of hepatic stellate cells (HSCs). Although microRNAs (miRNAs) are reportedly involved in fibrogenesis, the complete array of miRNA signatures associated with the disease has yet to be elucidated. Here, deep sequencing analysis revealed that compared to controls, 80 miRNAs were upregulated and 21 miRNAs were downregulated significantly in the thioacetamide (TAA)-induced mouse fibrotic liver. Interestingly, 58 of the upregulated miRNAs were localized to an oncogenic miRNA megacluster upregulated in liver cancer. Differential expression of some of the TAA-responsive miRNAs was confirmed, and their human orthologs were similarly deregulated in TGF-β1-activated HSCs. Moreover, a functional analysis of the experimentally validated high-confidence miRNA targets revealed significant enrichment for the GO terms and KEGG pathways involved in HSC activation and liver fibrogenesis. This is the first comprehensive report of miRNAs profiles during TAA-induced mouse liver fibrosis.     

Optimization of phage λ promoter strength for synthetic small regulatory RNA-based metabolic engineering

Synthetic small regulatory RNAs (sRNAs) are gene-silencing tools that can be used to tune gene expression in prokaryotes. A recent study by our group proposed rational design principles, introduced a regulatory system that may be used to implement synthetic sRNAs, and showed their utility in metabolic engineering. The regulatory system employed the strong phage λ P_R promoter to tightly control synthetic sRNA production. Here, we fine-tuned the strength of the P_R promoter via mutagenesis in order to optimize the level of synthetic sRNAs while maintaining the ability of the promoter to be regulated by CI proteins. Five mutant promoters of different strengths, ranging from 24 to 87% of that of the wild-type P_R promoter, were identified and confirmed to be repressed by CI proteins. A mutated promoter with only 40% of the original strength still produced enough synthetic sRNAs to inhibit the translation of the target mRNA to ~10% of the original level. As a practical application, we tested our promoters as drivers for a synthetic anti-murE sRNA, which was used to adjust the production of cadaverine. As the promoter strength decreased, the cadaverine titer first increased and then dropped. A mutated promoter with 39% of the original strength achieved the improved cadaverine titer of 2.15 g/L. The mutant promoters developed in this study should prove useful for tuning the expression levels of synthetic sRNAs for metabolic engineering.     

<Emphasis Type="Italic">Parabacteroides chongii</Emphasis> sp. nov., isolated from blood of a patient with peritonitis

An obligate anaerobic, Gram-reaction-negative, non-sporeforming, non-motile, rod shaped bacterium designated YMC B3181^T was isolated from the blood of a patient with peritonitis. Strain B3181^T grew at 20 to 40°C with optimum growth at 37°C. 16S rRNA gene sequence similarity showed strain B3181^T belongs to the genus Parabacteroides and is closely related to Parabacteroides faecis 157^T (97.3%), Parabacteroides gordonii MS-1^T (96.6%), and Parabacteroides goldsteinii DSM 19448^T (95.7%). The G + C content of the genomic DNA was 42.3 mol%. The major cellular fatty acids were anteiso-C_15:0 and iso-C_17:0 3-OH, and the predominant respiratory quinones were MK-9 and MK-10 menaquinones. Genomic and chemotaxonomic data supported affiliation of B3181^T with the genus Parabacteroides. Strain B3181^T was phylogenetically and phenotypically different from recognized species of the genus Parabacteroides. Accordingly, this isolate belongs to a novel species for which the name Parabacteroides chongii sp. nov. (type strain YMC B3181^T = LMG 30065^T = KACC 19034^T) is proposed.     

Advanced biotechnology using methyltransferase and its applications in bacteria: a mini review

Biotechnology Letters - Since prokaryotic restriction-modification (RM) systems protect the host by cleaving foreign DNA by restriction endonucleases, it is difficult to introduce engineered...