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Upregulation and biological function of transmembrane protein 119 in osteosarcoma
Zhen-Huan Jiang,Jun Peng,Hui-Lin Yang,Xing-Li Fu,Jin-Zhi Wang,Lei Liu,Jian-Nong Jiang,Yong-Fei Tan,Zhi-Jun Ge 생화학분자생물학회 2017 Experimental and molecular medicine Vol.49 No.-
Osteosarcoma is suggested to be caused by genetic and molecular alterations that disrupt osteoblast differentiation. Recent studies have reported that transmembrane protein 119 (TMEM119) contributes to osteoblast differentiation and bone development. However, the level of TMEM119 expression and its roles in osteosarcoma have not yet been elucidated. In the present study, TMEM119 mRNA and protein expression was found to be up-regulated in osteosarcoma compared with normal bone cyst tissues. The level of TMEM119 protein expression was strongly associated with tumor size, clinical stage, distant metastasis and overall survival time. Moreover, gene set enrichment analysis (GSEA) of the Gene Expression Omnibus (GEO) GSE42352 dataset revealed TMEM119 expression in osteosarcoma tissues to be positively correlated with cell cycle, apoptosis, metastasis and TGF-β signaling. We then knocked down TMEM119 expression in U2OS and MG63 cells using small interfering RNA, which revealed that downregulation of TMEM119 could inhibit the proliferation of osteosarcoma cells by inducing cell cycle arrest in G0/G1 phase and apoptosis. We also found that TMEM119 knockdown significantly inhibited cell migration and invasion, and decreased the expression of TGF-β pathway-related factors (BMP2, BMP7 and TGF-β). TGF-β application rescued the inhibitory effects of TMEM119 knockdown on osteosarcoma cell migration and invasion. Further in vitro experiments with a TGF-β inhibitor (SB431542) or BMP inhibitor (dorsomorphin) suggested that TMEM119 significantly promotes cell migration and invasion, partly through TGF-β/BMP signaling. In conclusion, our data support the notion that TMEM119 contributes to the proliferation, migration and invasion of osteosarcoma cells, and functions as an oncogene in osteosarcoma.
Zhen-Xin Zhou,Huan Jiang,Chen Yang,Ming-Zhi Yang,Han-Bo Zhang 한국미생물학회 2010 The journal of microbiology Vol.48 No.2
Invasive plants have caused great economic losses and environmental problems worldwide. Eupatorium adenophorum is one of the most invasive weeds in China. To better understand its invasive mechanisms, in the present paper, the microbial communities of healthy and diseased leaves of E. adenophorum were obtained using both culture-independent and -dependent methods and their diversities were compared. The bacteria obtained from culture-independent method belong to Proteobacteria (95.8%), Actinobacteria (2.1%), and Firmicutes (2.1%) and fungi belong to Ascomycota (65.2%) and Basidiomycota (34.8%). Very few overlapped microbial species were found by culture-dependent and -independent methods. Healthy leaves display higher bacterial diversity than diseased leaves. Phylogenetic structures are very different between healthy and diseased phyllosphere microbial communities. Bacteria close to Acinetobacter and Pseudomonas were dominant on healthy leaves, whereas those close to Shigella were dominant on diseased leaves. 52.9% of fungal clones from healthy leaves were Ustilaginomycetes, close to Rhodotorula phylloplana and uncultured basidomycete; by contrast, 60% of clones from diseased leaves were Lecanoromycetes, close to Umbilicaria muehlenbergii. No bacteria but four fungal strains phylogenetically close to Myrothecium sp. and Alternaria alternate were pathogenic to seedlings and detached leaves of the invasive plant. Therefore, this plant may be resistant to pathogens from bacteria but not fungi in its introduced range.
$L^{\infty}$-CONVERGENCE OF MIXED FINITE ELEMENT METHOD FOR LAPLACIAN OPERATOR
Chen, Huan-Zhen,Jiang, Zi-Wen 한국전산응용수학회 2000 Journal of applied mathematics & informatics Vol.7 No.1
In this paper two so-called regularized Green's functions are introduced to derive the optimal maximum norm error estimates for the unknown function and the adjoint vector-valued function for mixed finite element methods of Laplacian operator. One contribution of the paper is a demonstration of how the boundedness of $L^1$-norm estimate for the second Green's function ${\lambda}_2$ and the optimal maximum norm error estimate for the adjoint vector-valued function are proved. These results are seemed to be to be new in the literature of the mixed finite element methods.