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회전원판 반응조를 이용한 Pseudomonas sp. KS-96에 의한 gallic acid로부터 pyrogallol의 전환
안성만,김동석,정영기,임복규,이홍수,류병호 동의대학교 기초과학연구소 1998 基礎科學硏究論文集 Vol.8 No.1
In previous paper Pseudomonas sp. KS-96 isolated from the soil to bioconversion into pyrogallol from gallic acid. Continuous bioconversion of pyrogallol was carried out using rotatory disc contactor immobilized Pseudomonas sp. KS-96. Enzyme activity of gallate decarboxylase released from Pseudomonas sp. KS-96 were shown at the highest activity on 24h incubation. Culture media containing gallic acid supplied on the flow rate of 20㎖/h until thickness of cells wall reached steady state. Bioconversion rate of pyrogallol from gallic acid showed at highest level ranging from 18hr to 36h according to time courses. Continuous bioconversion of pyrogallol using rotating disc contactor was about 81% and 80% between 6 and 8 days at the feeding rate of 30㎖ per hour in the medium containing 15g/ℓ gallic acid.
( Hee Man Kim ),( Seung Woo Park ),( Jae Bock Chung ),( Si Young Song ),( Kyung Hwa Park ),( Jing Weng ),( Jeong Youp Park ),( Tae Yun Oh ),( Jin Gu Gang ),( Seung Min Bang ) 대한소화기학회 2007 SIDDS Vol.9 No.-
Background/Aims: A common feature of cancer cell is the abrogation of cell cycle checkpoints, either by the aberrant positive regulation or the loss of negative regulation. We investigated differential expression of cell cycle-related genes in pancreatic cancer (PC) and normal pancreas (NP) by comparing gene expression profile. Methods: cDNA was prepared from 25 samples of PC adenocarcinoma and 20 samples of NP. Affymetrix Human Genome U95 GenChip set was used. Overexpressed or downexpressed genes at least threefold (P<0.001) in PC were identified, compared with those in NP. From these genes, cell cycle-related genes were identified by gene ontology. For validation, two genes were selected and their expressions were tested in 3 samples of PC and NP by polymerase chain reaction (PCR), Western blot and in 7 samples of PC and NP by immunohistochemistry (IHC). Tissue microarray (TMA) from 36 samples of PC was conducted to assess association between gene expression and histologic data. Results: cDNA microarray revealed 857 overexpressed genes and 914 underexpressed genes in PC, compared with NP. Of these genes, 37 overexpressed genes and 32 under-expressed genes were found to be related to cell cycle in PC. For verification, dynein and clusterin were selected. mRNA and protein of dynein and clusterin was found to be overexpressed and underexpressed, respectively, in PC compared with NP through PCR and western blot. In IHC, dynein was expressed in 5 (71.4%) of 7 samples of PC and 1 (14.3%) of 7 samples of NP (P=0.031), whereas clusterin was not expressed in stroma of PC but it expressed in stroma of all samples of NP. In TMA of PC, dynein expression intensity was not significantly associated with TNM stage and differentiation of PC. Conclusions: We have identified 69 differentially expressed genes related to cell cycle though cDNA microarray in PC. Of these genes, differential expressions of dynein and clusterin were validated by other three methods. These finding may provide important information on cell cycle in PC.
Kim, Jiwon,Gu, Man Bock 한국환경독성학회 2004 환경독성보건학회지 Vol.19 No.3
본 연구에서는 유전자 재조합 발광 박테리아를 이용하여 농약에 대한 박테리아의 스트레스 반응과 세포 독성을 분석하였다 15종류의 농약에 대하여 유전자 손상, 생물막 손상, 산화적 손상 및 단백질 손상을 측정할 수 있는 발광 박테리아와 독성 유무로 인한 세포 독성을 측정할 수 있는 발광 박테리아, 5종을 이용하여 스트레스 반응을 분류하고 세포 독성 정도를 분석하였다 그 결과, 농약의 화학적 구조가 박테리아의 스트레스 반응에 영향을 미치며, 산화과정이 진행 됨에 따라 독성의 작용 기작이 변하는 것을 확인할 수 있었다. 이와 같은 유전자 재조합 발광 박테리아를 이용한 생물체내의 독성 메커니즘에 대한 분석은 생태계 유해물질들에 의한 독성을 분석하고 예상하기 위해 적용될 수 있을 것이다.