Earticle

For oligonucleotide microarray, target gene is generally amplified by polymerase chain reaction (PCR) and purified. In the present work, we suggest fast and non-labeling direct 16S rRNA detection of pathogenic bacteria without amplification and purification of target gene. Because 16S rRNA has many copies in all living bacteria, we successfully used 16S rRNA as a target for microarray. For simple and fast direct detection of pathogens, we used our previously constructed 16S rDNA-based oligonucleotide microarray detection system. The bacterial total RNAs from cell lysis were hybridized to a specific 16S rRNA probes and detected using fluorescent-labeled detector probe without labeling reactions of target RNAs. We found that hybridization specificity and sensitivity were enhanced using the fragmented RNAs. We also investigated the limit of detection (LOD) using Vibrio vulnificus.

환경 내에서 생물학적 복원을 이해하기 위해서는 미생물 기능성 군집 및 활성을 분석하는 것은 필수적이다. 본 연구에서는 유류오염 토양의 미생물 군집을 모니터링하기 위하여 난분해성 물질의 생물학적 분해에 관여하는 100개의 알려진 대사경로 및 유전자를 기반으로 한 oligonucleotide microarray를 개발하였다. 본 연구에 사용된 microarray는 유류오염 분해 대사에 관련된 유전자를 진단하기 위한 15개의 고유한 probe를 포함하고 있다. 디자인된 probe의 hybridization specificity는 표준 균주, Pseudomonas aeruginosa KCTC1636을 이용하여 확인 하였으며, 유류오염토양 시료의 분석결과 alkane, naphthalene, biphenyl, pyrene(PAH ring-hydroxylating) 분해에 관련된 8개의 유전자 발현을 확인 하였다. 이러한 결과는 DNA microarray가 유류오염토양환경에서 생물학적 분해유전자 진단에 효과적으로 이용될 수 있을 뿐만 아니라 생물학적 복원의 가능성을 진단하기에도 적합한 기법이라는 것을 나타내고 있다.

The analysis of functional population and its dynamics on the environment is essential for understanding bioremediation in environment. Here, we report a method for oligonucleotide microarray for the monitoring of aliphatic and aromatic degradative genes. This microarray contained 15 unique and group-specific probes which were based on 100 known genes involved pathways in biodegradation. Hybridization specificity tests with pure cultures, strain Pseudomonas aeruginosa KCTC 1636 indicated that the designed probes on the arrays appeared to be specific to their corresponding target genes. It was found that the presence of 8 genes encoding alkane, naphthalene, biphenyl, pyrene (PAH ring-hydroxylating) degradation pathway could be detected in oil contaminated soil sample. Therefore, the findings of this study strongly suggest that oligonucleotide microarray is an effective diagnostic tool for evaluating biodegradation capability in oil contaminated subsurface environment.

A new molecular-baiting method was studied by retrieving targeted gene fragments from an oligonucleotide microarray bait after hybridization. To make the microarray bait, 70-mer oligonucleotides that were designed to specifically represent the SSA1 gene of Saccharomyces cerevisiae were printed on the slide. Samples of the Saccharomyces cerevisiae mRNA were extracted and labeled by the RD-PCR (Restriction Display PCR) method using the Cy5-labelled universal primer, then applied for hybridization. The sample fragments that hybridized to the microarray were stripped, and the eluted cDNAs were retrieved and cloned into the pMD 18-T vector for transformation, plasmid preparation, and sequencing. BLAST searching of the GenBank database identified the retrieved fragments as being identical to the SSA1 gene (from 2057-2541bp). A new method is being established that can retrieve the sample fragments using an oligo-microarray-bait.

An oligonucleotide microarray system was developed for the simultaneous detection of porcine epidemic diarrhea virus, transmissible gastroenteritis virus, porcine enteric calicivirus, porcine group A and C rotavirus. RNAs of the reference viruses and porcine diarrhea samples were extracted and amplified using one-step multiplex RT-PCR in the presence of cyanine 5-dCTP and hybridized on the microarray chip that spotted the virus-specific oligonucleotides. This system were approximately 10-to 100-fold higher in sensitivity than conventional RT-PCR, and the assay time was less than 3 hours. The relative sensitivity and specificity were 92% and 72.2%, respectively, based on 102 porcine diarrhea samples using RT-PCR as gold standard. These results suggested that the oligonucleotide microarray system in this study be probably more reliable and reproducible means for detecting porcine enteric viruses and that it could be of substantial use in routine diagnostic laboratories.

For the comprehensive analysis of transcript ex-pression, the array-based hybridization analysis and the serial analysis of gene expression (SAGE) on a high-throughput sequencing of ditags derived from the transcript. DNA microarays are a power-ful tool for monitoring thousands of transcripts simultaneously, whereas the Genechip (Afimatrix microaray) technology is based on the hybridi-zation of a single probe or other manufacturer's microarays (cDNA- or oligonucleotide-microaray) procedures include the competitive hybridization of two probes. In this study, the quantitative acuracy of expresion using oligonucleotide-mi-from the SAGE. In previous study the microSAGE was performed for the megakaryocytes and non- megakaryocytes derived from human cord blod CD34+ cells by ex vivo expansion using thrombo-poietin, and a total of 38,909 tags representing 8,976 unique genes were obtained. On the iden-tical RNA, expresion profiling was also caried out using oligonucleotide-microaray (MAGIC II 10K chip, Macrogen). The most frequently express-fied as platelet factor 1 folowed by annexin A1, ribosomal protein S23. The majority of the 50 most highly expresed genes in the CD34+-derived me-gakaryocytes were those involved in protein syn-thesis, e.g., ribosomal proteins. The expresion level through the single chanel of oligonucleo-tide-microaray and SAGE have a fairly good cor-relation in terms of absolute analyses and that the corelation is higher for the genes with higher ex-pression levels.

The advent of microarray technologies gives an opportunity to moni tor the expression of ten thousands of genes, simultaneously. Such microarray data can be deteriorated by experimental errors and image artifacts, which generate non-negligible outliers that are estimated by 15% of typical microarray data. Thus, it is an important issue to detect and correct the se faulty probes prior to high-level data analysis such as classification or clustering. In this paper, we propose a systematic procedure for the detection of faulty probes and its proper correction in Genechip array based on multivariate statistical approaches. Principal component analysis (PCA), one of the most widely used multivariate statistical approaches, has been applied to construct a statistical correlation model with 20 pairs of probes for each gene. And, the faulty probes are identified by inspecting the squared prediction error (SPE) of each probe from the PCA model. Then, the outlying probes are reconstructed by the iterative optimization approach minimizing SPE. We used the public data presented from the gene chip project of human fibroblast cell. Through the application study, the proposed approach showed good performance for probe correction without removing faulty probes, which may be desirable in the viewpoint of the maximum use of data information.

In inflammatory responses, induction of cytokines and other immune regulator genes in macrophages by pathogen-associated signal such as lipopolysaccharide (LPS) plays a crucial role. In this study, the gene expression profile changes by LPS treatment in the macrophage/monocyte lineage cell line RAW264.7 was investigated. A 60-mer oligonucleotide microarray of which probes target 32381 mouse genes was used. A reverse transcription-in vitro translation labeling protocol and a chemileuminescence detection system were employed. The mRNA expression levels in RAW264.7 cells treated for 6 h with LPS and the control vehicle were compared. 747 genes were up-regulated and 523 genes were down-regulated by more than 2 folds. 320 genes showing more than 4-fold change by LPS treatment were further classified for the biological process, molecular function, and signaling pathway. The biological process categories that showed high number of increased genes include the immunity and defense, the nucleic acid metabolism, the protein metabolism and modification, and the signal transduction process. The chemokine-cytokine signaling, interleukin signaling, Toll receptor signaling, and apoptosis signaling pathways involved high number of genes differentially expressed in response to LPS. These expression profile data provide more comprehensive information on LPS-target genes in RAW264.7 cells, which will be useful in comparing gene expression changes induced by extracts and compounds from anti-inflammatory medicinal herbs.

The oligonucleotide microarray, a high-throughput polymorphism detection technology, holds great promise for the characterization of complex genetic variance. To achieve greater sensitivity and specificity for it to be an effective platform technology we present results and discuss some of the factors influencing signal intensities and single-mismatch discrimination in array-based mutation/SNP detection. Probes with a series of concentrations were spotted onto the slide in order to find the optimal concentration with the identifiable satisfying signals and the stable ratios between matched and mismatched probes. It was found that under our experimental conditions, when the initial probe concentration is higher than the maximum immobilization capability of the slide (7.5 µM), the hybridization signal will be saturated and the ratio between matched and mismatched probes will be more stable than at a lower probe concen-tration. Considering the cost of probes and the systematic stability, a constant spotting cone n-tration of 10 µM was selected. The stability of different types of mismatched oligo-DNA du-plexes on the glass surface was also confirmed. The results show that the order of stability of mismatched oligo-DNA duplexes on a glass surface is in general agreement with previous reports conducted using liquid and polyacryl-amide gel pads. This suggests that the influence of the mismatched base pair on the stability of the duplex in a solid hybridization system is similar to that in the solution hybridization environment.

In a variety of animal species, the perinatal exposure of experimental animals to the 2,3,7,8-tetrachlorodibenzo­p-dioxin (TCDD) leads to the immune dysfunction, which is more severe and persistent than that caused by adult exposure. We report here the changes of gene expression and the identification of the marker-genes representing the dioxin exposure. The expressions of the transcripts were analyzed using the 11 K oligonucleotide­microarray from the bone marrow cells of male C57BL/6J mice after an intraperitoneal injection of $1{\mu}g$ TCDD/kg body weight at various time intervals: gestational 6.5 day(G6.5), 13.5 day(G13.5), 18.5 day(G18.5), and postnatal 3 (P3W)and 6 week (P6W). The type of self-organizing maps(SOM) representing the specific exposure dioxin could be identified as follows; G6.5D(C14), G13.5D(C0, C5, C10, C18), G18.5D(7): P3W(C2, C21), and P6W(C4, C15, C20). The candidate marker-genes were restricted to the transcripts, which could be consistently expressed greater than $\pm$2-fold in three experiments. The resulting candidates were 85 genes, the characteristics of that were involved in cell physiology and cell functions such as cell proliferation and immune function. We identified the biomarker-genes for dioxin exposure: smc -like 2 from SOM C14 for the dioxin exposure at G6.5D, focal adhesion kinase and 6 other genes from C0, and protein tyrosine phosphatase 4a2 and 3 other genes from C5 for G13.5D, platelet factor 4 from C7 for G18.5D, fos from C2 for P3W.