• Molecular & Cellular Toxicology
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• v.2 no.3
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• pp.185-192
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• 2006

To elucidate the molecular mechanisms associated with early renal injury induced by gentamicin, the most commonly used antibiotics worldwide in the treatment of Gram-negative bacterial infections. We have identified genes differentially expressed at different duration of gentamicin administration. C57BL/6 female mice were treated daily with gentamicin (20 mg/kg, 100 mg/kg, and 200mg/kg) for 7 days and then sacrificed at day 1, 3, and 7 after administration. Standard blood biochemistry and histopathological observation indicative of nephrotoxicity were made. Total RNA was extracted from the kidney for microarray analysis using Affymetrix $GeneChip^{\circledR}$. Five hundred and seventy eight genes were identified as being either up-or down-regulated over 2-fold changes during early renal injury (p<0.05) and were analyzed by hierarchical clustering. The results showed that the genes involved in early immune responses were differentially regulated during early renal injury. Principal component analysis (PCA) confirmed sample separation according to the degree of renal toxicity. In addition, we identified two potential biomarkers that may predict early renal toxicity. This data may contribute to elucidate of the genetic events during early renal injury and to discover the potential biomarkers for nephrotoxicity induced by gentamicin.

• Clinical and Experimental Reproductive Medicine
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• v.38 no.2
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• pp.68-74
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• 2011

Objective: Previously, we found that oocyte specific homeobox (Obox) 4 plays significant role in completion of meiosis specifically at meiosis I-meiosis II (MI-MII) transition. The purpose of this study was to determine the mechanism of action of $Obox4$ in oocyte maturation by evaluating downstream signal networking. Methods: The $Obox4$ dsRNA was prepared by $in$ $vitro$ transcription and microinjected into the cytoplasm of germinal vesicle oocytes followed by $in$ $vitro$ maturation in the presence or absence of 0.2 mM 3-isobutyl-1-metyl-xanthine. Total RNA was extracted from 200 oocytes of each group using a PicoPure RNA isolation kit then amplified two-rounds. The probe hybridization and data analysis were used by Affymetrix Gene-Chip$^{(R)}$ Mouse Genome 430 2.0 array and GenPlex 3.0 (ISTECH, Korea) software, respectively. Results: Total 424 genes were up (n=80) and down (n=344) regulated after $Obox4$ RNA interference (RNAi). Genes mainly related to metabolic pathways and mitogen-activated protein kinase (MAPK) signaling pathway was changed. Among the protein kinase C (PKC) isoforms, PKC-alpha, beta, gamma were down-regulated and especially the MAPK signaling pathway PKC-gamma was dramatically decreased by $Obox4$ RNAi. In the cell cycle pathway, we evaluated the expression of genes involved in regulation of chromosome separation, and found that these genes were down-regulated. It may cause the aberrant chromosome segregation during MI-MII transition. Conclusion: From the results of this study, it is concluded that $Obox4$ is important upstream regulator of the PKC and anaphase-promoting complex action for maintaining intact germinal vesicle.

• Journal of Physiology & Pathology in Korean Medicine
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• v.26 no.4
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• pp.519-526
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• 2012

Recently, herbal flavonoids have been implicated for anti-cancer therapy. Flavonoids as a commonly known for their anti-oxidant activity, are contained in the herbal medicine as well as root of plants, vegetables, fruits, grains, tea, and wine. Kaempferol, a component of Polygonati rhizoma, a member of the herbal flavonoids, has been studied for anti-hypercholesterol, anti-hypertension and anti-diabetes. It is also known to be effective in anti-cancer therapy for breast, prostate and other type of cancers. However, the anti-cancer therapeutic mechanisms are pooly understood. Here, we investigated the molecular mechanism underlying kaempferol-induced anti-cancer effects using the human liver cancer cell lines, Hep3B, HepG2, and Sk-Hep-1, and human Chang liver cell as a control. As shown by the FACS analysis, measurement of caspase activity, DAPI and trypan blue staining, and DNA fragmentation assay, kaempferol induced apoptosis in the liver cancer cells with the greater potential in Hep3B cells than other liver cancer cells. In addition, we performed microarray analysis to profile the genome-wide mRNA expression regulated by kaempferol. Many of the apoptosis-related genes were significantly induced in kaempferol-treated Hep3B cells, in particular, the genes associated with MAPK cascade. Additionally, kaempferol induced the mRNA expression of genes involved in MKK7-JNK cascade, MKK3-p38 cascade, and caspase signaling pathway, which are all known to trigger apoptosis. Overall, our data suggest that kaempferol has anti-liver cancer effects by inducing apoptosis through the MKK7-JNK cascade, MKK3-p38 cascade, and caspase signaling pathways.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.12
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• pp.2259-2264
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• 2008

Significant genes are defined as genes in which the expression level characterizes a specific experimental condition. Such genes in which the expression levels differ significantly between different groups are highly informative relevant to the studied phenomenon. In this paper, first the system can detect informative genes by similarity scale combination method being proposed in this paper after normalizing data with methods that are the most widely used among several normalization methods proposed the while. And it compare and analyze a performance of each of normalization methods with multi-perceptron neural network layer. The Result classifying in Multi-Perceptron neural network classifier for selected 200 genes using combination of PC(Pearson correlation coefficient) and ED(Euclidean distance coefficient) after Lowess normalization represented the improved classification performance of 98.84%.

• Molecules and Cells
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• v.42 no.4
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• pp.321-332
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• 2019

The brain is the most common metastatic site of lung adenocarcinoma; however, the mechanism of this selective metastasis remains unclear. We aimed to verify the hypothesis that exposure of tumor cells to the brain microenvironment leads to changes in their gene expression, which promotes their oriented transfer to the brain. A549 and H1299 lung adenocarcinoma cells were exposed to human astrocyte-conditioned medium to simulate the brain microenvironment. Microarray analysis was used to identify differentially expressed genes, which were confirmed by quantitative real-time PCR and western blotting. Knockdown experiments using microRNAs and the overexpression of genes by cell transfection were performed in addition to migration and invasion assays. In vitro findings were confirmed in clinical specimens using immunohistochemistry. We found and confirmed a significant increase in insulin-like growth factor binding protein-3 (IGFBP3) levels. Our results also showed that the up-regulation of IGFBP3 promoted A549 cell epithelial-mesenchymal transition, migration, and invasion, while the knockdown of IGFBP3 resulted in decreased cell motility. We also found that Transforming growth factor-${\beta}$ (TGF-${\beta}$)/Mothers against decapentaplegic homolog 4 (Smad4)-induced epithelial-mesenchymal transition was likely IGFBP3-dependent in A549 cells. Finally, expression of IGFBP3 was significantly elevated in pulmonary cancer tissues and intracranial metastatic tissues. Our data indicate that up-regulation of IGFBP3 might mediate brain metastasis in lung adenocarcinoma, which makes it a potential therapeutic target.

• Journal of Korean Neurosurgical Society
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• v.65 no.5
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• pp.697-709
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• 2022

Objective : The present study aimed to identify the function of ischemic stroke (IS) patients' peripheral blood and its role in IS, explore the pathogenesis, and provide direction for clinical research progress by comprehensive bioinformatics analysis. Methods : Two datasets, including GSE58294 and GSE22255, were downloaded from Gene Expression Omnibus database. GEO2R was utilized to obtain differentially expressed genes (DEGs). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were performed using the database annotation, visualization and integrated discovery database. The protein-protein interaction (PPI) network of DEGs was constructed by search tool of searching interactive gene and visualized by Cytoscape software, and then the Hub gene was identified by degree analysis. The microRNA (miRNA) and miRNA target genes closely related to the onset of stroke were obtained through the miRNA gene regulatory network. Results : In total, 36 DEGs, containing 27 up-regulated and nine down-regulated DEGs, were identified. GO functional analysis showed that these DEGs were involved in regulation of apoptotic process, cytoplasm, protein binding and other biological processes. KEGG enrichment analysis showed that these DEGs mediated signaling pathways, including human T-cell lymphotropic virus (HTLV)-I infection and microRNAs in cancer. The results of PPI network and cytohubba showed that there was a relationship between DEGs, and five hub genes related to stroke were obtained : SOCS3, KRAS, PTGS2, EGR1, and DUSP1. Combined with the visualization of DEG-miRNAs, hsa-mir-16-5p, hsa-mir-181a-5p and hsa-mir-124-3p were predicted to be the key miRNAs in stroke, and three miRNAs were related to hub gene. Conclusion : Thirty-six DEGs, five Hub genes, and three miRNA were obtained from bioinformatics analysis of IS microarray data, which might provide potential targets for diagnosis and treatment of IS.

• Animal cells and systems
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• v.14 no.4
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• pp.275-282
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• 2010

Chunghyul-dan (CHD) is a combinatorial drug known to exert anti-inflammatory effects in endothelial cells. In this study, we employed global transcriptional profiling using cDNA microarrays to identify molecular mechanisms responsible for the anti-inflammatory activity of CHD in endothelial cells. An analysis of the microarray data revealed that transcript levels of monocyte chemotactic protein-1 (MCP-1), vascular cell-adhesion molecule-1 (VCAM-1) and activated leukocyte cell-adhesion molecule were dramatically altered in CHD-treated endothelial cells. These changes in gene expression were confirmed by RT-PCR, Western blotting and ELISA. Chronic CHD treatment also appeared to decrease MCP-1 secretion, probably as a result of decreased MCP-1 expression. In addition, we determined that chronic CHD treatment inhibited lipopolysaccharide-stimulated adhesion of THP-1 leukocytes to endothelial cells. The inhibitory effect of CHD on LPS-stimulated adhesion resulted from downregulation of VCAM-1 expression. Transmigration of THP-1 leukocytes through endothelial cells was also inhibited by chronic CHD treatment. In conclusion, CHD controls a variety of inflammatory activities by regulating MCP-1 and VCAM-1 gene expression.

• Journal of KIISE
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• v.45 no.1
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• pp.61-68
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• 2018

The identification of genes that contribute to the prediction of prognosis in patients with cancer is one of the challenges in providing appropriate therapies. To find the prognostic genes, several classification models using gene expression data have been proposed. However, the prediction accuracy of cancer prognosis is limited due to the heterogeneity of cancer. In this paper, we integrate microarray data with biological network data using a modified PageRank algorithm to identify prognostic genes. We also predict the prognosis of patients with 6 cancer types (including breast carcinoma) using the K-Nearest Neighbor algorithm. Before we apply the modified PageRank, we separate samples by K-Means clustering to address the heterogeneity of cancer. The proposed algorithm showed better performance than traditional algorithms for prognosis. We were also able to identify cluster-specific biological processes using GO enrichment analysis.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.23
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• pp.10513-10524
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• 2015

Background: Metastasis is a major reason for poor prognosis in patients with cancer, including hepatocellular carcinoma (HCC). A salient feature is the ability of cancer cells to colonize different organs. Long non-coding RNAs (lncRNAs) play important roles in numerous cellular processes, including metastasis. Materials and Methods: In this study, the lncRNA expression profiles of two HCC cell lines, one with high potential for metastasis to the lung (HCCLM3) and the other to lymph nodes (HCCLYM-H2) were assessed using the Arraystar Human LncRNA Array v2.0, which contains 33,045 lncRNAs and 30,215 mRNAs. Coding-non-coding gene co-expression (CNC) networks were constructed and gene set enrichment analysis (GSEA) was performed to identify lncRNAs with potential functions in organ-specific metastasis. Levels of two representative lncRNAs and one representative mRNA, RP5-1014O16.1, lincRNA-TSPAN8 and TSPAN8, were further detected in HCC cell lines with differing metastasis potential by qRT-PCR. Results: Using microarray data, we identified 1,482 lncRNAs and 1,629 mRNAs that were differentially expressed (${\geq}1.5$ fold-change) between the two HCC cell lines. The most upregulated lncRNAs in H2 were RP11-672F9.1, RP5-1014O16.1, and RP11-501G6.1, while the most downregulated ones were lincRNA-TSPAN8, lincRNA-CALCA, C14orf132, NCRNA00173, and CR613944. The most upregulated mRNAs in H2 were C15orf48, PSG2, and PSG8, while the most downregulated ones were CALCB, CD81, CD24, TSPAN8, and SOST. Among them, lincRNA-TSPAN8 and TSPAN8 were found highly expressed in high lung metastatic potential HCC cells, while lowly expressed in no or low lung metastatic potential HCC cells. RP5-1014O16.1 was highly expressed in high lymphatic metastatic potential HCC cell lines, while lowly expressed in no lymphatic metastatic potential HCC cell lines. Conclusions: We provide the first detailed description of lncRNA expression profiles related to organ-specific metastasis in HCC. We demonstrated that a large number of lncRNAs may play important roles in driving HCC cells to metastasize to different sites; these lncRNAs may provide novel molecular biomarkers and offer a new basis for combating metastasis in HCC cases.

• Clinical and Experimental Reproductive Medicine
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• v.47 no.3
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• pp.194-206
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• 2020

Objective: The aim of this study was to investigate microRNAs (miRNAs) related to follicle-stimulating hormone (FSH) responsiveness using miRNA microarrays and to identify their target genes to determine the molecular regulatory pathways involved in FSH signaling in KGN cells. Methods: To change the cellular responsiveness to FSH, KGN cells were treated with FSH receptor (FSHR)-specific small interfering RNA (siRNA) followed by FSH. miRNA expression profiles were determined through miRNA microarray analysis. Potential target genes of selected miRNAs were predicted using bioinformatics tools, and their regulatory function was confirmed in KGN cells. Results: We found that six miRNAs (miR-1261, miR-130a-3p, miR-329-3p, miR-185-5p, miR-144-5p and miR-4463) were differentially expressed after FSHR siRNA treatment in KGN cells. Through a bioinformatics analysis, we showed that these miRNAs were predicted to regulate a large number of genes, which we narrowed down to cytochrome P450 family 19 subfamily A member 1 (CYP19A1) and estrogen receptor alpha (ESR1) as the main targets for miR-4463. Functional analysis revealed that miR-4463 is a regulatory factor for aromatase expression and function in KGN cells. Conclusion: In this study, we identified differentially expressed miRNAs related to FSH responsiveness. In particular, upregulation of miR-4463 expression by FSHR deficiency in human granulosa cells impaired 17β-estradiol synthesis by targeting CYP19A1 and ESR1. Therefore, our data might provide novel candidates for molecular biomarkers for use in research into poor responders.