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TSPAN12 Precedes Tumor Proliferation by Cell Cycle Control in Ovarian Cancer
Ji, Guohua,Liang, Hongbin,Wang, Falin,Wang, Nan,Fu, Songbin,Cui, Xiaobo Korean Society for Molecular and Cellular Biology 2019 Molecules and cells Vol.42 No.7
TSPAN12, a member of the tetraspanin family, has been highly connected with the pathogenesis of cancer. Its biological function, however, especially in ovarian cancer (OC), has not been well elucidated. In this study, The Cancer Genome Atlas (TCGA) dataset analysis revealed that upregulation of TSPAN12 gene expression was significantly correlated with patient survival, suggesting that TSPAN12 might be a potential prognostic marker for OC. Further exploration showed that TSPAN12 overexpression accelerated proliferation and colony formation of OVCAR3 and SKOV3 OC cells. Knockdown of TSPAN12 expression in A2780 and SKOV3 cells decreased both proliferation and colony formation. Western blot analysis showed that several cyclins and cyclin-dependent kinases (CDK) (e.g., Cyclin A2, Cyclin D1, Cyclin E2, CDK2, and CDK4) were significantly involved in the regulation of cell cycle downstream of TSPAN12. Moreover, TSPAN12 accelerated mitotic progression by controlling cell cycle. Thus, our data demonstrated that TSPAN12 could be a novel molecular target for the treatment of OC.
TSPAN12 Precedes Tumor Proliferation by Cell Cycle Control in Ovarian Cancer
Guohua Ji,Hongbin Liang,Falin Wang,Nan Wang,Songbin Fu,Xiaobo Cui 한국분자세포생물학회 2019 Molecules and cells Vol.42 No.7
TSPAN12, a member of the tetraspanin family, has been highly connected with the pathogenesis of cancer. Its biological function, however, especially in ovarian cancer (OC), has not been well elucidated. In this study, The Cancer Genome Atlas (TCGA) dataset analysis revealed that upregulation of TSPAN12 gene expression was significantly correlated with patient survival, suggesting that TSPAN12 might be a potential prognostic marker for OC. Further exploration showed that TSPAN12 overexpression accelerated proliferation and colony formation of OVCAR3 and SKOV3 OC cells. Knockdown of TSPAN12 expression in A2780 and SKOV3 cells decreased both proliferation and colony formation. Western blot analysis showed that several cyclins and cyclin-dependent kinases (CDK) (e.g., Cyclin A2, Cyclin D1, Cyclin E2, CDK2, and CDK4) were significantly involved in the regulation of cell cycle downstream of TSPAN12. Moreover, TSPAN12 accelerated mitotic progression by controlling cell cycle. Thus, our data demonstrated that TSPAN12 could be a novel molecular target for the treatment of OC.
rGO/VNTs as cathodes for high performance sodium ion batteries with good cycling performance
Guohua Gao,Mingze Ji,Kun Zhang,Guangming Wu 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.1
Using the ex-situ composite method, we have prepared grapheme coating vanadium oxide nanotubes (VNT) by using vanadium oxide nanotubes, cationic surfactant cetyltrimethylammonium bromide (CTAB) and graphene oxide (GO) aqueous solution. The surface of the vanadium oxide nanotube was modified by CTAB, so that vanadium oxide nanotubes were combined with graphene oxide via electrostatic interaction. The introduction of graphene provides an effective protective layer for vanadium oxide nanotubes, alleviates the volume change caused by sodium ion insertion and extraction during charge and discharge process, and enhances the stability of vanadium oxide nanotube structure. The electrochemical test show that the capacity retention of VNTs after 50 cycles was only 18%, while the capacity retention rate of VNTs/rGO was as high as 74%. In addition, we made a detailed analysis of the morphology, structure and formation mechanism of the materials.
Jingcui Yu,Songbin Fu,Peng Liu,Xiaobo Cui,Yu Sui,Guohua Ji,Rongwei Guan,Donglin Sun,Wei Ji,Fangli Liu,An Liu,Yuzhen Zhao,Yang Yu,Yan Jin,Jing Bai,Jingshu Geng,Yingwei Xue,Jiping Qi,Ki-Young Lee 한국분자세포생물학회 2011 Molecules and cells Vol.32 No.1
Previously, we identified 3 overlapping regions showing loss of heterozygosity (LOH, R_1-R_3 from 11 to 30 cM) on chromosome 17 in 45 primary gastric cancers (GCs). The data indicated the presence of tumor suppressor genes (TSGs) on chromosome 17 involved in GC. Among the putative TSGs in these regions, HIC1 (in SR_1) and TOB1 (in SR_3) remain to be examined in GC. By immunohistochemistry (IHC), methylation-specific PCR (MSP) and western blot, we evaluated the expression and regulation status for HIC1 and TOB1 protein in GC. We narrowed down the deletion intervals on chromosome 17 and defined five smaller LOH subregions, SR_1-SR_5 (0.54 to 3.42 cM), in GC. We found that HIC1 had downregulated expression in 86% (91/106) and was methylated in 87% (26/30) of primary GCs. Of the primary GCs showing downregulation of HIC1 protein, 75% (18/24) had methylated HIC1 gene. TOB1 was either absent or expressed at reduced levels in 75% (73/97) of the GC samples. In addition, a general reduction was found in total and the ratio of unphosphorylated to phosphorylated TOB1 protein levels in the differentiated GC cell lines. Further analysis revealed significant simultaneous downregulation of both HIC1 and TOB1 protein in GC tissue microarray samples (67%, 52/78) and in primary GCs (65%, 11/17). These results indicate that silencing of HIC1 and TOB1 expression is a common occurrence in GC and may contribute to the development and progression of the disease.
( Rui Hao ),( Yan Qiang ),( Xiaolei Liao ),( Xiaofei Yan ),( Guohua Ji ) 한국인터넷정보학회 2019 KSII Transactions on Internet and Information Syst Vol.13 No.1
In the computer-aided detection (CAD) system of pulmonary nodules, a high false positive rate is common because the density and the computed tomography (CT) values of the vessel and the nodule in the CT images are similar, which affects the detection accuracy of pulmonary nodules. In this paper, a method of automatic detection of pulmonary nodules based on multi-scale enhancement filters and 3D shape features is proposed. The method uses an iterative threshold and a region growing algorithm to segment lung parenchyma. Two types of multi-scale enhancement filters are constructed to enhance the images of nodules and blood vessels in 3D lung images, and most of the blood vessel images in the nodular images are removed to obtain a suspected nodule image. An 18 neighborhood region growing algorithm is then used to extract the lung nodules. A new pulmonary nodules feature descriptor is proposed, and the features of the suspected nodules are extracted. A support vector machine (SVM) classifier is used to classify the pulmonary nodules. The experimental results show that our method can effectively detect pulmonary nodules and reduce false positive rates, and the feature descriptor proposed in this paper is valid which can be used to distinguish between nodules and blood vessels.