Biomedical subjects

Min-Kyu Oh

Publications and source records attributed to Min-Kyu Oh.

5 recordsLinked to original sources

PubMed2026

Adaptive laboratory evolution enables carbon-negative mixotrophic fermentation and enhanced chain elongation in Clostridium sp. JS66.

Improving carbon recovery during sugar fermentation remains a major challenge because a substantial fraction of substrate carbon is lost as CO2 during central metabolism. To overcome this limitation, Clostridium sp. JS66 (JS66), an acetogen producing hexanoic acid from glucose, was subjected to adaptive laboratory evolution under autotrophic CO2/H2 conditions to enhance H2-assisted CO2 reassimilation during glucose fermentation. The evolved strain, ALECO2, exhibited CO2 consumption without a lag phase under autotrophic conditions and reached a 9.5-fold higher CO2 uptake rate than JS66. Under fed-batch mixotrophic conditions, glucose-only fermentation yielded a carbon molar yield (Cmetabolite/Csugar, CM/CS) of 0.60, whereas H2 supplementation increased CM/CS to 0.91 and redirected carbon flux toward C6 products (hexanoic acid and hexanol), which accounted for 49% of total C_output. With additional CO2 supplementation, ALECO2 further assimilated externally supplied CO2, increasing the CM/CS to 1.10 and demonstrating carbon-negative fermentation. Assimilation of externally supplied CO2 further redirected carbon flux toward chain elongation, producing 7.14 g/L hexanoic acid and increasing the C6 carbon fraction to 57% of total C_output. Constraint-based flux analysis supported increased acetyl-CoA formation through the Wood-Ljungdahl pathway and enhanced flux toward reverse β-oxidation under H2- and CO2/H2-supplemented conditions. Genome analysis identified mutations including genes encoding a putative HytB homolog and a LysR-type transcriptional regulator. These results establish ALECO2 as a promising evolved anaerobic non-photosynthetic (ANP) mixotrophy platform that links CO2 reassimilation and external CO2 assimilation with chain elongation, enabling carbon-neutral and carbon-negative production of value-added C6 products from glucose.

Anaerobic non-photosyntheticmixotrophy (ANP)↗

PubMed2005

Functional expression of single-chain variable fragment antibody against c-Met in the cytoplasm of Escherichia coli.

c-Met, a high affinity receptor for hepatocyte growth factor/scatter factor, shown to be overexpressed in a variety of malignant cells, is a potential biomarker as well as a therapeutic target. Thus, single-chain antibody fragment (scFv) specific for c-Met is expected to be efficiently employed in the clinical treatment or imaging of many cancer cells. Here, we constructed the expression system for anti-c-Met scFv fused with T7 tag at its N-terminus using pET vector and investigated the expression conditions to achieve a functional and soluble expression of the scFv in the cytoplasm of recombinant Escherichia coli. The redox potential of E. coli cytoplasm was the most critical factor for the functional expression of anti-c-Met scFv. The employment of a host with oxidizing cytoplasm, E. coli trxB/gor double mutant, improved the productivity of functional anti-c-Met scFv by approximately 10-fold compared to the production of anti-c-Met scFv in the reducing cytoplasm of wild type E. coli. Productivity of functional anti-c-Met scFv could be further enhanced by co-expressing molecular chaperones such as GroELS, trigger factor, and DsbC with the scFv. Coexpression of DsbC increased the yield of functional anti-c-Met scFv about 2.5-fold in the cytoplasm of E. coli trxB/gor mutant compared to the production of scFv without DsbC coexpression. Lowering the IPTG concentration from 1 to 0.05 mM led to the slight enhancement, approximately 1.6-fold, of productivity of functional scFv. Although the use of low temperature for anti-c-Met scFv expression increased the ratio of soluble scFv fraction to insoluble fraction, productivity of soluble scFv decreased owing to the significant reduction of expression rate. The addition of 0.5 M sucrose in the medium inhibited the formation of intracellular insoluble anti-c-Met scFv. To purify the anti-c-Met scFv simply, we fused hexahistidine at the C-terminus of scFv and purified the scFv showing 98% of purity through the interaction between Ni2+ and histidine.

Antibodies↗

PubMed2003

Genetic heterogeneity of stably transfected cell lines revealed by expression profiling with oligonucleotide microarrays.

Large-scale gene expression measurements with oligonucleotide microarrays have contributed tremendously to biological research. However, to distinguish between relevant expression changes and falsely identified positives, the source and magnitude of errors must be understood. Here, we report a source of biological variability in microarray experiments with stably transfected cell lines. Mouse embryonic fibroblast (MEF/3T3) and rat schwannoma (RT4) cell lines were generated to provide regulatable schwannomin expression. The expression levels of 29 samples from five different mouse embryonic fibroblast clonal cell lines and 18 samples from 3 RT4 cell lines were monitored with oligonucleotide microarrays. Using hierarchical clustering, we determined that the changes in gene expression induced by schwannomin overexpression were subtle when compared with those detected as a consequence of clonal selection during generation of the cell lines. The hierarchical clustering implies that significant alterations of gene expression were introduced during the transfection and selection processes. A total of 28 genes were identified by Kruskal-Wallis rank test that showed significant variation between clonal lines. Most of them were related to cytoskeletal function and signaling pathways. Based on these analyses, we recommend that replications of experiments with several selected cell lines are necessary to assess biological effects of induced gene expression.

Animals↗

PubMed2002

Co-expression pattern from DNA microarray experiments as a tool for operon prediction.

The prediction of operons, the smallest unit of transcription in prokaryotes, is the first step towards reconstruction of a regulatory network at the whole genome level. Sequence information, in particular the distance between open reading frames, has been used to predict if adjacent Escherichia coli genes are in an operon. While appreciably successful, these predictions need to be validated and refined experimentally. As a growing number of gene expression array experiments on E.coli became available, we investigated to what extent they could be used to improve and validate these predictions. To this end, we examined a large collection of published microarry data. The correlation between expression ratios of adjacent genes was used in a Bayesian classification scheme to predict whether the genes are in an operon or not. We found that for the genes whose expression levels change significantly across the experiments in the data set, the currently available gene expression data allowed a significant refinement of the sequenced-based predictions. We report these co-expression correlations in an E.coli genomic map. For a significant portion of gene pairs, however, the set of array experiments considered did not contain sufficient information to determine whether they are in the same transcriptional unit. This is not due to unreliability of the array data per se, but to the design of the experiments analyzed. In general, experiments that perturb a large number of genes offer more information for operon prediction than confined perturbations. These results provide a rationale for conducting expression studies comparing conditions that cause global changes in gene expression.

Chromosome Mapping↗

PubMed2002

Global expression profiling of acetate-grown Escherichia coli.

This study characterized the transcript profile of Escherichia coli in acetate cultures using DNA microarray on glass slides. Glucose-grown cultures were used as a reference. At the 95% confidence level, 354 genes were up-regulated in acetate, while 370 genes were down-regulated compared with the glucose-grown culture. Generally, more metabolic genes were up-regulated in acetate than other gene groups, while genes involved in cell replication, transcription, and translation machinery tended to be down-regulated. It appears that E. coli commits more resources to metabolism at the expense of growth when cultured in the poor carbon source. The expression profile confirms many known features in acetate metabolism such as the induction of the glyoxylate pathway, tricarboxylic acid cycle, and gluconeogenic genes. It also provided many previously unknown features, including induction of malic enzymes, ppsA, and the glycolate pathway and repression of glycolytic and glucose phosphotransferase genes in acetate. The carbon flux delivered from the malic enzymes and PpsA in acetate was further confirmed by deletion mutations. In general, the gene expression profiles qualitatively agree with the metabolic flux changes and may serve as a predictor for gene function and metabolic flux distribution.

Acetates↗