• Biomedical Science Letters
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• v.19 no.2
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• pp.164-167
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• 2013

Osteoclasts are originated from hemopoietic progenitors of the monocyte/macrophage lineage and resorb mineralized tissues. Elevated osteoclast numbers and activity result in bone disease such as osteoporosis, Paget's disease, and tumor osteolysis. In order to identify the genes that are involved in osteoclast differentiation, microarray was performed after treated with RANKL for 12 h and 24 h in osteoclast precursors. The genes that changed by RANKL treatment were grouped by biological process or molecular function. Among them, the number of genes involved in signal transduction and nucleic acid binding was 6065 and 3066, respectively. When analyzed the number of genes changed more than 1.5 fold in the cells treated with RANKL for 12 h or 24 h compared to when RANKL was not treated, 83 and 62 genes were up-regulated; 56 and 62 genes were downregulated, respectively. To verify the microarray results, real-time RT-PCR for Cxcl1 and Slfn1genes that have not been reported yet related to osteoclast differentiation, as well as Ccl2 gene associated with osteoclast differentiation were carried out. Both experiments showed a similar result of more than 1.5 fold induction of these genes by RANKL treatment. These results suggest the possibility that Cxcl1 and Slfn1 may associate with osteoclastogenesis and provide that microarray is a useful tool to analyze the profile of genes changed during osteoclast differentiation by RANKL. Moreover, this gene profile contributes to understand the regulatory mechanisms involved in osteoclast differentiation and the pathogenesis, thus developing therapeutics of bone diseases such as osteoporosis.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.621-628
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• 2015

This paper describes an algorithm for detecting vehicles detection in real time. The proposed algorithm has the technique based on computer vision and image processing. In real, complex environment such as one with road traffic, many algorithms have great difficulty such as low detection rate and increasing computational time due to complex backgrounds and rapid changes. To overcome this problem in this paper, the proposed algorithm consists of the following methods. First, to effectively separate the candidate regions, we use vertical and horizontal edge information, and shadow values from input image sequences. Second, we extracts features by using HOG from the selected candidate regions. Finally, this paper uses the OS fuzzy-ELM based on SLFN to classify the extracted features. The experimental results show that the proposed method perform well for detecting vehicles and improves the accuracy and the computational time of detecting.

• Tuberculosis and Respiratory Diseases
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• v.82 no.2
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• pp.133-142
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• 2019

Background: Idiopathic pulmonary fibrosis involves irreversible alveolar destruction. Although alveolar epithelial type II cells are key functional participants within the lung parenchyma, how epithelial cells are affected upon bleomycin (BLM) exposure remains unknown. In this study, we determined whether BLM could induce cell cycle arrest via regulation of Schlafen (SLFN) family genes, a group of cell cycle regulators known to mediate growth-inhibitory responses and apoptosis in alveolar epithelial type II cells. Methods: Mouse AE II cell line MLE-12 were exposed to $1-10{\mu}g/mL$ BLM and $0.01-100{\mu}M$ baicalein (Bai), a G1/G2 cell cycle inhibitor, for 24 hours. Cell viability and levels of pro-inflammatory cytokines were analyzed by MTT and enzyme-linked immunosorbent assay, respectively. Apoptosis-related gene expression was evaluated by quantitative real-time reverse transcription-polymerase chain reaction (qRT-PCR). Cellular morphology was determined after DAPI and Hoechst 33258 staining. To verify cell cycle arrest, propidium iodide (PI) staining was performed for MLE-12 after exposure to BLM. Results: BLM decreased the proliferation of MLE-12 cells. However, it significantly increased expression levels of interleukin 6, tumor necrosis factor ${\alpha}$, and transforming growth factor ${\beta}1$. Based on Hoechst 33258 staining, BLM induced condensation of nuclear and fragmentation. Based on DAPI and PI staining, BLM significantly increased the size of nuclei and induced G2/M phase cell cycle arrest. Results of qRT-PCR analysis revealed that BLM increased mRNA levels of BAX but decreased those of Bcl2. In addition, BLM/Bai increased mRNA levels of p53, p21, SLFN1, 2, 4 of Schlafen family. Conclusion: BLM exposure affects pulmonary epithelial type II cells, resulting in decreased proliferation possibly through apoptotic and cell cycle arrest associated signaling.