• Journal of the Korean Chemical Society
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• v.29 no.6
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• pp.646-650
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• 1985

RNA degradation by riboinuclease A (EC 3.1.27.5) was inhibited by spermine. As the concentration of spermine was increased, the ribonuclease activity was decreased gradually until it reached a plateau. Under the same conditions, the viscosity of the RNA increased, as the spermine concentration was increased until it reached a plateau in the same manner as the profile of the spermine-dependent ribonuclease activity. The inhibitory effect of spermine on the susceptibility of RNA to the ribonuclease could be relieved by denatured calf thymus DNA, but not by the native DNA. The data here indicate the possibility that the suppress of the RNA susceptibility for the ribonuclease by spermine is brought about by the spermine-induced intermolecular aggregation of the RNA molecules.

• Journal of Life Science
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• v.8 no.2
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• pp.126-130
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• 1998

A pair of designed primers (sequences from Gene Bank) amplified 16S fRNA gene of V. vulnificus within polymerase chain reaction (PCR) machine. This PCR product is about 1.3kb DNA fragment. Six enzymes (BamH I, Alu I, Sau3A I, Hind III, Sal I, Sma I) were used for restriction pattern analysis of amplified 16S rRNA gene of V. vulnificus ATCC 27562. Digested fragments are resolved by 3% agarose gel. BamH I did not show digested fragment so, there was no cutting site of BamH I in PCR product. Alu I produced three small fragments from 400 bp to 200 bp. Sau3A I produced three fragments larger than Alu I from 70 bp and 500 bp. One of fragments of Sal I was same with 500 bp of Hind III fragment and the other was 750 bp. Sma I showed two fragments of 800 bp and 470 bp. The profile of digested fragments of 16S rRNA of V.vulnificus ATCC 27562 will may be able to use standard profile for identification of V. vulnificus.

• International Journal of Industrial Entomology and Biomaterials
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• v.10 no.2
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• pp.101-106
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• 2005

In this study, we describe the Bombyx mandarina hemolin cDNA. A sequence analysis of cDNA revealed a single open reading frame (ORF) of 1233 nucleotides. The deduced 410 amino acid sequence of B. mandarina hemolin contains 4 imunoglobulin (Ig) C-2 type domains. B. mandarina hemolin cDNA showed the highest sequence homology to known those of B. mori. The developmental profile in terms of expression level of hemolin mRNA was determined in the absence of a bacterial challenge. Hemolin mRNA was detected only in mid-gut, but not in hemocytes, fat body, testis, and silkglands. Hemolin mRNA in mid-gut was not detected until the spinning stage of the last instar larva, however, lit dramatically increased at the beginning of spinning and gradually decreased until pupal stage.

• YAKHAK HOEJI
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• v.42 no.2
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• pp.175-180
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• 1998

Bifidobacterium bifidum OFR9 that exhibits acquired resistance to rifampicin and fluoroquinolones was selected by MNNG and multi-step mutation method. To investigate the resistance mechanism to rifampicin in the strain, RNA polymerase from B. bifidum parent strain and rifampicin-resistance OFR9 was partially purified and its sensitivity to rifampicin was assayed. The profile of RNA polymerase preparation of B. bifidum parent and B. bifidum OFR9 is similar to that of E. coli RNA polymerase that includes the basic subunits of ${\beta}$`, ${\beta},\;{\sigma},\;{\alpha}$ but which are a little different in size when they are compared with E. coli RNA polymerase subunits. RNA polymerase isolated from the parent strain was inhibited by 1${\mu}$g/ml rifampicin but that from B. bifidum OFR9 was not affected by 100${\mu}$g/ml concentration of rifampicin. RNA polymerase activity of B. bifidum OFR9 was maintained over 90% through that rifampicin concentration. This result is consistent with MIC values of in vitro test. It can be concluded that the mechanism of rifampicin resistance in B. bifidum OFR9 is due to an alteration of RNA polymerase.

• Journal of KIISE:Software and Applications
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• v.35 no.6
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• pp.347-356
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• 2008

High-throughput microarray is one of the most popular tools in molecular biology, and various computational methods have been developed for the microarray data analysis. While the computational methods easily extract significant features, it suffers from inferring modules of multiple co-regulated genes. Hypernetworhs are motivated by biological networks, which handle all elements based on their combinatorial processes. Hence, the hypernetworks can naturally analyze the biological effects of gene combinations. In this paper, we introduce a hypernetwork classifier for microRNA (miRNA) profile analysis based on microarray data. The hypernetwork classifier uses miRNA pairs as elements, and an evolutionary learning is performed to model the microarray profiles. miTNA modules are easily extracted from the hypernetworks, and users can directly evaluate if the miRNA modules are significant. For experimental results, the hypernetwork classifier showed 91.46% accuracy for miRNA expression profiles on multiple human canters, which outperformed other machine learning methods. The hypernetwork-based analysis showed that our approach could find biologically significant miRNA modules.

• Proceedings of the Korean Society of Developmental Biology Conference
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• 2005.10a
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• pp.109-109
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• 2005

• Proceedings of the Korean Society of Embryo Transfer Conference
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• 2005.10a
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• pp.109-109
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• 2005

• Proceedings of the Korean Information Science Society Conference
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• 2006.10a
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• pp.53-58
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• 2006

MicroRNA (miRNA)는 약 22 nt의 작은 RNA 조각으로 이루어져 있으며 stem-loop 구조의 precursor 형태에서 최종적으로 만들어 진다. miRNA는 mRNA의 3‘UTR에 상보적으로 결합하여 유전자의 발현을 억제하거나 mRNA의 분해를 촉진한다. miRNA를 동정하기 위한 실험적인 방법은 조직 특이적인 발현, 적은 발현양 때문에 방법상 한계를 가지고 있다. 이러한 한계는 컴퓨터를 이용한 방법으로 어느 정도 해결될 수 있다. 하지만 miRNA의 서열상의 낮은 보존성은 homology를 기반으로 한 예측을 어렵게 한다. 또한 기계학습 방법인 support vector machine (SVM) 이나 naive bayes가 적용되었지만, 생물학적인 의미를 해석할 수 있는 generative model을 제시해 주지 못했다. 본 연구에서는 우수한 miRNA 예측을 보일 뿐만 아니라 학습된 모델로부터 생물학적인 지식을 얻을 수 있는 Bayesian network을 적용한다. 이를 위해서는 생물학적으로 의미 있는 특질들의 선택이 중요하다. 여기서는 position weighted matrix (PWM)과 Markov chain probability (MCP), Loop 크기, Bulge 수, spectrum, free energy profile 등을 특질로서 선택한 후 Information gain의 특질 선택법을 통해 예측에 기여도가 높은 특질 25개 와 27개를 최종적으로 선택하였다. 이로부터 Bayesian network을 학습한 후 miRNA의 예측 성능을 10 fold cross-validation으로 확인하였다. 그 결과 pre-/mature miRNA 각 각에 대한 예측 accuracy가 99.99% 100.00%를 보여, SVM이나 naive bayes 방법보다 높은 결과를 보였으며, 학습된 Bayesian network으로부터 이전 연구 결과와 일치하는 pre-miRNA 상의 의존관계를 분석할 수 있었다.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.10
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• pp.1483-1490
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• 2019

Objective: To explore the molecular mechanisms of fat metabolism and deposition in pigs, an experiment was conducted to identify hepatic mRNAs and miRNAs expression and determine the potential interaction of them in two phenotypically extreme pig breeds. Methods: mRNA and miRNA profiling of liver from 70-day Jinhua (JH) and Landrace (LD) pigs were performed using RNA sequencing. Blood samples were taken to detect results of serum biochemistry. Bioinformatics analysis were applied to construct differentially expressed miRNA-mRNA network. Results: Serum total triiodothyronine and total thyroxine were significantly lower in Jinhua pigs, but the content of serum total cholesterol (TCH) and low-density lipoprotein cholesterol were strikingly higher. A total of 467 differentially expressed genes (DEGs) and 35 differentially expressed miRNAs (DE miRNAs) were identified between JH and LD groups. Gene ontology analysis suggested that DEGs were involved in oxidation-reduction, lipid biosynthetic and lipid metabolism process. Interaction network of DEGs and DE miRNAs were constructed, according to target prediction results. Conclusion: We generated transcriptome and miRNAome profiles of liver from JH and LD pig breeds which represent distinguishing phenotypes of growth and metabolism. The potential miRNA-mRNA interaction networks may provide a comprehensive understanding in the mechanism of lipid metabolism. These results serve as a basis for further investigation on biological functions of miRNAs in the porcine liver.

• Korean Journal of Fisheries and Aquatic Sciences
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• v.48 no.3
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• pp.346-353
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• 2015

Glucocorticoids (GCs) are steroid hormones regulated through responses to stress to maintain diverse metabolic and homeostatic functions. GCs act on the glucocorticoid receptor (GR), a member of the nuclear receptor family. This study identified and characterized the GR gene from the big-belly seahorse Hippocampus abdominalis designating it HaGR. The open reading frame of the HaGR cDNA was 2,346 bp in length, encoding a 782-amino-acid polypeptide with a theoretical isoelectric point of 6.26 and predicted molecular mass of 86.8 kDa. Nuclear receptors share a common structural organization, comprising an N-terminal transactivation domain, DNA-binding domain, and C-terminal ligand-binding domain. The tissue-specific mRNA expression profile of HaGR was analyzed in healthy seahorses using a qPCR technique. HaGR mRNA was expressed ubiquitously in all of the tissues examined, with the highest expression levels in kidney, intestine, stomach, and gill tissues. The mRNA expression in response to immune challenge with lipopolysaccharide (LPS), polyinosinic:polycytidylic acid (poly I:C), Edwardsiella tarda, and Streptococcus iniae revealed that it is inducible in response to pathogen infection. These results suggest that HaGR is involved in the immune response of the big-belly seahorse.