Angiotensin II-induced smooth muscle cell migration is mediated by LDL receptor-related protein 1 via regulation of matrix metalloproteinase 2 expression

Angiotensin II (Ang II), one of the main vasoactive hormones of the renin-angiotensin system, contributes to the development and progression of atherosclerosis by inducing vascular smooth muscle cells (VSMCs) migration. Although previous studies have shown that Ang II upregulates low density lipoprotein receptor-related protein 1 (LRP1) expression in VSMCs and increases VSMCs migration, the role of LRP1 in Ang II-induced VSMCs migration remains unclear. Here, we reveal a novel mechanism by which LRP1 induces the expression of matrix metalloproteinase 2 (MMP2) and thereby promotes the migration of rat aortic SMCs (RAoSMCs). Knockdown of LRP1 expression greatly decreased RAoSMCs migration, which was rescued by forced expression of a functional LRP1 minireceptor, suggesting that LRP1 is a key regulator of Ang II-induced RAoSMCs migration. Inhibition of ligand binding to LRP1 by the specific antagonist receptor-associated protein (RAP) also led to reduced RAoSMCs migration. Because MMPs play critical roles in RAoSMCs migration, we examined the expression of several MMPs and found that the expression of functional MMP2 was selectively increased by Ang II treatment and decreased in LRP1-knockdown RAoSMCs. More interestingly, reduced MMP2 expression in LRP1-knockdown cells was completely rescued by exogenous expression of mLRP4, suggesting that MMP2 is a downstream regulator of LRP1 in Ang II-induced RAoSMCs migration. Together, our data strongly suggest that LRP1 promotes the migration of RAoSMCs by regulating the expression and function of MMP2.     

Bacterial genome mapper: A comparative bacterial genome mapping tool

Recently, next generation sequencing (NGS) technologies have led to a revolutionary increase in sequencing speed and costefficacy. Consequently, a vast number of contigs from many recently sequenced bacterial genomes remain to be accurately mapped and annotated, requiring the development of more convenient bioinformatics programs. In this paper, we present a newly developed web-based bioinformatics program, Bacterial Genome Mapper, which is suitable for mapping and annotating contigs that have been assembled from bacterial genome sequence raw data. By constructing a multiple alignment map between target contig sequences and two reference bacterial genome sequences, this program also provides very useful comparative genomics analysis of draft bacterial genomes. AVAILABILITY: The database is available for free at http://mbgm.kribb.re.kr.     

Enzymatic formation of carbohydrate rings catalyzed by single-walled carbon nanotubes

Macrocyclic carbohydrate rings were formed via enzymatic reactions around single-walled carbon nanotubes (SWNTs) as a catalyst. Cyclodextrin glucanotransferase, starch substrate and SWNTs were reacted in buffer solution to yield cyclodextrin (CD) rings wrapped around individual SWNTs. Atomic force microscopy showed the resulting complexes to be rings of 12–50 nm in diameter, which were highly soluble and dispersed in aqueous solution. They were further characterized by Raman and Fourier transform infrared spectroscopy and molecular simulation using density functional theory calculation. In the absence of SWNT, hydrogen bonding between glucose units determines the structure of maltose (the precursor of CD) and produces the curvature along the glucose chain. Wrapping SWNT along the short axis was preferred with curvature in the presence of SWNTs and with the hydrophobic interactions between the SWNTs and CD molecules. This synthetic approach may be useful for the functionalization of carbon nanotubes for development of nanostructures.     

Expression of viral microRNAs in Epstein-Barr virus-associated gastric carcinoma

Epstein-Barr virus (EBV) is associated with about 6 to 16% of gastric carcinoma cases worldwide. Expression of the EBV microRNAs (miRNAs) was observed in B cells and nasopharyngeal carcinoma cells infected with EBV. However, it is not clear if the EBV miRNAs are expressed in EBV-associated gastric carcinomas (EBVaGCs). We found that BART miRNAs but not BHRF1 miRNAs were expressed in EBV-infected gastric carcinoma cell lines and the tumor tissues from patients as well as the animal model. The expression of viral miRNAs in EBVaGCs suggests that these EBV miRNAs may play important roles in the tumorigenesis of EBVaGCs.     

Subtractive hybridization analysis of gastric diseases-associated Helicobacter pylori identifies peptidyl-prolyl isomerase as a potential marker for gastric cancer

Helicobacter pylori, a microaerophilic Gram-negative bacterium, is known to cause chronic gastritis, peptic ulcer and gastric cancer. Genes that are present in certain isolates may determine strain-specific traits such as disease association and drug resistance. In order to understand the pathogenic mechanisms of gastric diseases, identify molecular markers of the diseases associated with H. pylori strains and provide clues for target treatment of H. pylori-related diseases, a subtracted DNA library was constructed from a gastric cancer-associated H. pylori strain and a superficial gastritis-associated H. pylori strain by suppression subtractive hybridization. The presence of gastric cancer-specific genes was identified by dot blot hybridization, DNA sequencing and PCR-based screening. Twelve gastric cancer-specific high-copy genes and nine low-copy genes were found in gastric cancer compared with the superficial gastritis strain. These genes were confirmed by PCR analysis of H. pylori isolates. Notably, peptidyl-prolyl cis-trans isomerase (PPIase) was detected positively in 11 out of 22 (50%) gastric cancer-associated H. pylori strains. In contrast, <24% of the H. pylori strains from superficial gastritis showed positive results. Given the potential role of PPIases in cell growth, apoptosis and oncogenic transformation, our results suggest that PPIase may represent a novel marker and potential therapeutic target for gastric cancer.     

Genome-Based Metabolic Engineering of Mannheimia succiniciproducens for Succinic Acid Production

Succinic acid is a four-carbon dicarboxylic acid produced as one of the fermentation products of anaerobic metabolism. Based on the complete genome sequence of a capnophilic succinic acid-producing rumen bacterium, Mannheimia succiniciproducens, gene knockout studies were carried out to understand its anaerobic fermentative metabolism and consequently to develop a metabolically engineered strain capable of producing succinic acid without by-product formation. Among three different CO₂-fixing metabolic reactions catalyzed by phosphoenolpyruvate (PEP) carboxykinase, PEP carboxylase, and malic enzyme, PEP carboxykinase was the most important for the anaerobic growth of M. succiniciproducens and succinic acid production. Oxaloacetate formed by carboxylation of PEP was found to be converted to succinic acid by three sequential reactions catalyzed by malate dehydrogenase, fumarase, and fumarate reductase. Major metabolic pathways leading to by-product formation were successfully removed by disrupting the ldhA, pflB, pta, and ackA genes. This metabolically engineered LPK7 strain was able to produce 13.4 g/liter of succinic acid from 20 g/liter glucose with little or no formation of acetic, formic, and lactic acids, resulting in a succinic acid yield of 0.97 mol succinic acid per mol glucose. Fed-batch culture of M. succiniciproducens LPK7 with intermittent glucose feeding allowed the production of 52.4 g/liter of succinic acid, with a succinic acid yield of 1.16 mol succinic acid per mol glucose and a succinic acid productivity of 1.8 g/liter/h, which should be useful for industrial production of succinic acid.     

Kinetic Monte Carlo simulation for the striation distribution of void defects in Czochralski silicon growth

Unique crystal-originated pit (COP) distribution, similar to a striation pattern, is well matched with the oxygen profile in experimental analysis. It shows the strong relationship between oxygen concentration and COP distribution. In this paper, we study the generation of void defects and the relationship between interstitial oxygen and vacancy using the kinetic lattice Monte Carlo (KLMC) method. The KLMC method has been applied extensively in various forms to the study of micro-defects in silicon wafers. It explained well the formation of void defects such as vacancy–oxygen complex and vacancy–vacancy complex. The formation of clusters is strongly affected by oxygen concentration, which showed the relationship between COP distribution and oxygen concentration. The unique COP distribution could be correctly explained with KLMC results, and this kind of meso-scale results has not yet been reported.