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RISS 인기검색어
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- 저자 : Junqing Wang (검색결과 5 건)
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Gan Junqing,Liu Shan,Zhang Yu,He Liangzi,Bai Lu,Liao Ran,Zhao Juan,Guo Madi,Jiang Wei,Li Jiade,Li Qi,Mu Guannan,Wu Yangjiazi,Wang Xinling,Zhang Xingli,Zhou Dan,Lv Huimin,Wang Zhengfeng,Zhang Yanqiao,Q 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
The functional role of microRNA-375 (miR-375) in the development of prostate cancer (PCa) remains controversial. Previously, we found that plasma exosomal miR-375 is significantly elevated in castration-resistant PCa (CRPC) patients compared with castration-sensitive PCa patients. Here, we aimed to determine how miR-375 modulates CRPC progression and thereafter to evaluate the therapeutic potential of human umbilical cord mesenchymal stem cell (hucMSC)-derived exosomes loaded with miR-375 antisense oligonucleotides (e-375i). We used miRNA in situ hybridization technique to evaluate miR-375 expression in PCa tissues, gain- and loss-of-function experiments to determine miR-375 function, and bioinformatic methods, dual-luciferase reporter assay, qPCR, IHC and western blotting to determine and validate the target as well as the effects of miR-375 at the molecular level. Then, e-375i complexes were assessed for their antagonizing effects against miR-375. We found that the expression of miR-375 was elevated in PCa tissues and cancer exosomes, correlating with the Gleason score. Forced expression of miR-375 enhanced the expression of EMT markers and AR but suppressed apoptosis markers, leading to enhanced proliferation, migration, invasion, and enzalutamide resistance and decreased apoptosis of PCa cells. These effects could be reversed by miR-375 silencing. Mechanistically, miR-375 directly interfered with the expression of phosphatase nonreceptor type 4 (PTPN4), which in turn stabilized phosphorylated STAT3. Application of e-375i could inhibit miR-375, upregulate PTPN4 and downregulate p-STAT3, eventually repressing the growth of PCa. Collectively, we identified a novel miR-375 target, PTPN4, that functions upstream of STAT3, and targeting miR-375 may be an alternative therapeutic for PCa, especially for CRPC with high AR levels.
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Le Xue,Haihong Han,Han Fan,Piwu Li,Tengfei Wang,Jing Xiao,Ruiming Wang,Junqing Wang 한국생물공학회 2019 Biotechnology and Bioprocess Engineering Vol.24 No.5
To prevent cellulose loss during bio-pulping, two cellulase genes in Bacillus licheniformis 20085 were knocked out by homologous exchange technique. An engineering strain B. licheniformis 20085Δcelb was significantly compromised the ability to disintegrate filter paper compared to the original strain. After fermentation for 60 h, the CMCase activity value decreased from 1.86 to 0.50 U/mL, suggesting that the celb gene played an important role in the process of cellulose degradation in B. licheniformis 20085. We also assessed the ability of B. licheniformis 20085Δcelb to pulp bamboo. The yield of bamboo pulp was 51.91%, the kappa number was 11.26%, and 1.3% of cellulose was degraded after bio-pulping. Environmental Scanning Electron Microscope (ESEM) studies were also conducted to visualize the effect of these strains on bamboo cell walls. These results indicate that pulping with B. licheniformis 20085Δcelb can generate a higher yield and lower kappa number.
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Sun, Xun,Wang, Junqing,Hwang, Ho-Young,Choi, Jeong-Kil 한국주조공학회 2002 한국주조공학회지 Vol.22 No.6
수정된 SIMPLE법과 VOF의 결합으로 predictor-two step corrector-VOF라고 불리는 새로운 알고리즘이 주조 시 용탕 충전과정을 해석하기 위해 개발되었다. 운동량보존으로부터 유도된 새 2단계 속도 경계조건 처리법은 용탕의 자유표면을 추적하는 데 사용되었다. 본 연구에서는 2개의 예제 계산을 통해 계산정확도와 속도에 대한 Courant 수의 영향을 살펴보았다. 그 결과 적당한 Courant 수의 증가는 계산 정확도의 감소 없이 용탕 계산 속도를 향상시킬 수 있는 것으로 나타났다. 또한 만족할 만한 계산 정확도와 효율이 이 알고리즘의 실제 제품 해석을 통해 얻어졌다.
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Deyou Tao,Junqing Liang,Yihong Pan,Yanting Zhou,Ying Feng,Lin Zhang,Jingjing Xu,Hui Wang,Ping He,Jie Yao,Yang Zhao,Qinjie Ning,Wen Wang,Wei Jiang,Jing Zheng,Xia Wu 한국유방암학회 2019 Journal of breast cancer Vol.22 No.3
Purpose: Although the effect of lysosome-associated protein transmembrane 4 beta (LAPTM4B) on the proliferation, migration, and invasion of breast cancer (BC) cells has already been studied, its specific role in BC progression is still elusive. Here, we evaluated the effect of different levels of LAPTM4B expression on the proliferation, invasion, adhesion, and tumor formation abilities of BC cells in vitro, as well as on breast tumor progression in vivo. Methods: We investigated the influence of LAPTM4B expression on MCF-7 cell proliferation, invasion, adhesion, and tube formation abilities in vitro through its overexpression or knockdown and on breast tumor progression in vivo. Results: Cell growth curves and colony formation assays showed that LAPTM4B promoted the proliferation of breast tumor cells. Cell cycle analysis results revealed that LAPTM4B promoted the entry of cells from the G1 into the S phase. Transwell invasion and cell extracellular matrix adhesion assays showed that LAPTM4B overexpression increased the invasion and adhesion capabilities of MCF-7 cells. More branches were observed in MCF-7 cells overexpressing LAPTM4B under an electron microscope. In comparison with LAPTM4B overexpression, LAPTM4B knockdown decreased the expression of vascular endothelial growth factor-A and significantly inhibited the vasculogenic tube formation ability of tumors. These results were also verified with western blot analysis. Conclusion: LAPTM4B promoted the proliferation of MCF-7 cells through the downregulation of p21 (WAF1/CIP1) and caspase-3, and induced cell invasion, adhesion, and angiogenesis through the upregulation of hypoxia-inducible factor 1 alpha, matrix metalloproteinase 2 (MMP2), and MMP9 expression. This specific role deems LAPTM4B as a potential therapeutic target for BC treatment.
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Huaiqian Bao,Lijin Song,Zongzhen Zhang,Baokun Han,Jinrui Wang,Junqing Ma,Xingwang Jiang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.9
This study proposes a framework for bearing remaining useful life (RUL) prediction that uses multidomain features and a dual-attention mechanism (DAM). First, sparsity measures are introduced as new feature parameters to comprehensively and accurately extract the degradation features of bearings. Second, a long short-term memory network integrated with DAM is applied for RUL prediction. DAM simultaneously applies the attention mechanism to the time steps and feature dimension to increase the attention to important information and enhance the prediction performance of the network. Third, a pseudo-normalization method is proposed to solve the problem of unknown bearing test data in actual working conditions under the premise of retaining the original data characteristics and RUL prediction accuracy as much as possible. Lastly, the proposed framework is experimentally proven on public datasets and compared with other methods to prove its feasibility and effectiveness.
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