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.

A Resistive Memory in Semiconducting BiFeO₃ Thin‐Film Capacitors

Jiang, An Quan,Wang, Can,Jin, Kui Juan,Liu, Xiao Bing,Scott, James F.,Hwang, Cheol Seong,Tang, Ting Ao,Lu, Hui Bin,Yang, Guo Zhen WILEY‐VCH Verlag 2011 ADVANCED MATERIALS Vol.23 No.10

<P><B>A ferroelectric‐resistive random access memory consisting of a conductive BiFeO<SUB>3</SUB></B> epitaxial thin film with a unipolar diode current modulated by electric polarization orientation is reported. This device has a memory that lasts for months, a sufficiently high on current and on/off ratio to permit ordinary sense amplifiers to measure “1” or “0”, and is fully compatible with complementary metal‐oxide semiconductor processing. </P>

Microbial Community on Healthy and Diseased Leaves of an Invasive Plant Eupatorium adenophorum in Southwest China

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.

Optimization of Emergency Braking Pedestrian Collision Avoidance for Autonomous Vehicle Fusing the Fuzzy Neural Network with the Genetic Algorithm

Wei Yang,Zhen Zhang,Kongming Jiang,Qian Lei,Ketong Zong 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.7

In order to improve braking performance of the intelligent vehicle, a pedestrian collision avoidance control model for autonomous emergency braking pedestrian (AEB-P) system based on the fuzzy neural network (FNN) and genetic algorithm (GA) theory is proposed. In this research, we construct a backpropagation (BP) feedforward FNN-GA model for the AEB-P system. Aiming to solve the problem that initial training parameters of the FNN model generate randomly, they are optimized by fusing the fuzzy neural network with GA. Simulation results show that training epochs reduce from 800 to 60 and training error changes from [−0.06, +0.06] to [−0.04, +0.04] after optimization. Moreover, the maximum model error lessens from 0.058 to 0.0351 and sample total error decreases from 0.0179 to 0.0068. At last, the proposed scheme is applied to the China New Car Assessment Program (C-NCAP) simulation test scenarios. Output curves of vehicle distance, velocity, and deceleration become smoother and the maximum error decreases from 0.51 m/s2 to 0.26 m/s2 , which verifies the proposed FNN-GA control strategy for AEB-P system is effective and reliable.

Method of Predicting Braking Intention Using LSTM-CNN-Attention With Hyperparameters Optimized by Genetic Algorithm

Wei Yang,Yu Huang,Kongming Jiang,Zhen Zhang,Ketong Zong,Qin Ruan 제어·로봇·시스템학회 2024 International Journal of Control, Automation, and Vol.22 No.7

Prediction of a driver’s braking intention enables the advanced driver assistance system (ADAS) to intervene in the braking system as early as possible, which may shorten braking distance and improve driving safety. This paper proposes a novel deep learning model called LSTM-CNN-Attention that combines a long short-term memory (LSTM) neural network, convolutional neural network (CNN), and Attention mechanism for extracting spatiotemporal features of multi-sensor data to improve prediction accuracy. The proposed model inherits both temporal and spatial feature extraction abilities from LSTM and CNN. The LSTM-CNN-Attention model has a parallel architecture, which enhances the feature extraction ability of the model for multi-sensor time series data and improves the prediction accuracy of the driver’s braking intention before the braking action. Furthermore, a driving simulator is set up to sample driving data for training and evaluating the proposed method. According to the results of the experiment, the model obtains up to 3.16% higher accuracy than the baseline models such as LSTM, CNN, and bidirectional LTSM (Bi-LSTM). Additionally, the influence of sliding window size and prediction horizon on the performance of the method is investigated. A method of tuning hyperparameters using the genetic algorithm is presented. The results demonstrate that the prediction accuracy increases by about 2% after being optimized by GA.

A review on colorless and optically transparent polyimide films: Chemistry, process and engineering applications

Hong-jiang Ni,Jin-gang Liu,Zhen-he Wang,Shi-yong Yang 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.28 No.-

Recent research and development of colorless and optically transparent polyimide (CPI) films have beenreviewed. CPI films possess both of the merits of conventional aromatic PI films and common polymeroptical film; thus have been widely investigated as components for microelectronic and optoelectronicfabrications. The current review coveres the latest research and development for CPI films, includingsynthesis chemistry, manufacturing process, and engineering applications. Especially, this reviewfocuses on the applications of CPI films as flexible substrates for optoelectrical devices, such as flexibleactive matrix organic light emitting display devices (AMOLEDs), flexible printing circuit boards (FPCBs),and flexible solar cells.

Resveratrol Attenuates Early Diabetic Nephropathy by Down-Regulating Glutathione S-Transferases Mu in Diabetic Rats

Bei Jiang,Ling Guo,Bao-Ying Li,Jun-Hui Zhen,Jian Song,Tao Peng,Xiang-Dong Yang,Zhao Hu,Hai-Qing Gao 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.6

Diabetic nephropathy (DN) is the major cause of end-stage renal disease. Resveratrol has been shown to ameliorate hyperglycemia in diabetic rats. However, the effects of resveratrol on DN remain unknown. The aim of the present study is to investigate the effects of resveratrol on early-stage DN. Diabetes was induced by streptozotocin injection in male Wistar rats. The diabetic rats were treated with resveratrol at a dose of 20 mg/kg body weight for 8 weeks. Plasma glucose, creatinine, kidney/body weight ratio, and 24-h urinary protein were determined. The renal pathological changes were examined with periodic acid Schiff staining, and renal mesangial cells were cultured in high glucose concentrations with indicated concentrations of resveratrol (2.5, 5.0, and 10.0 lmol/L). The proliferation of mesangial cells was evaluated by methylthiazoletetrazolium assay. Expressions of glutathione S-transferases Mu (GSTM) and nuclear factor erythroid 2-related factor 2 (Nrf2) were detected by western blot, and apoptosis was analyzed using a flow cytometer. Resveratrol reduced plasma glucose, creatinine, and urinary protein excretion, and attenuated renal hypertrophy. Moreover, resveratrol also reduced the expression of GSTM in diabetic rats. In vitro, resveratrol inhibited the proliferation of mesangial cells caused by high glucose and down-regulated GSTM and Nrf2 expressions in a dose-dependent manner. These findings suggest that resveratrol help prevent the progression of DN. The renoprotection by resveratrol is in part mediated through the inhibition of high glucoseinduced rat mesangial cell proliferation and downregulation of GSTM expression.

Endogenous leptin promotes autophagy in EBSS-induced PFCs

Deling Jiao,Zhen Yang,Lulu Wang,Binyue Hu,Jing Wang,Anyong Xu,Wenmin Cheng,Baoyu Jia,Yubo Qing,Hong-Ye Zhao,Hong-Jiang Wei 한국통합생물학회 2019 Animal cells and systems Vol.23 No.5

Leptin is an important adipokine and plays a vital role in animals. However, the role of leptin in the autophagic response of pig fibroblast cells (PFCs) has not been fully elucidated. In this study, we investigated the relationship between leptin and autophagy as well as underlying molecular basis. We found that PFCs treated with EBSS could secrete leptin, and the leptin concentration in the supernatant of leptin transgenic PFCs was higher than that of WT PFCs. We found an increase in LC3-II protein level and a decrease in p62 protein level in treated leptin transgenic PFCs compared with treated WT PFCs. Meanwhile, we observed an increase of autophagosomes by transmission electron microscopy and an enhancement of the accumulation of LC3 puncta in the cytoplasm of treated leptin transgenic PFCs, and these effects were further augmented by Baf A1 treatment. Furthermore, we detected the expression levels of 7 autophagy signaling pathway genes and 17 autophagy-related (ATG) genes by q-PCR. We found that between the two types of EBSS-treated cells 3 genes expression pattern were significantly different among the 7 autophagy signaling pathway genes and 8 genes expression pattern were significantly differernt among the ATG genes. These results indicated that leptin may promote autophagy and involving the downregulation of FOXO1 and LMNA genes via an unknown pathway which causes the upregulation of the 4 genes and the downregulation of 4 genes.

Detection of gas-solid flow faults of a circulating fluidized bed using pressure fluctuations in wind caps

Hua-wei Jiang,Jian-qiang Gao,Hong-wei Chen,Jun-fu Lu,Fu-mao Wang,Yang Wang,Zhen-xin Wu 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.7

Wind cap partial blockages and agglomeration are two of the most common gas-solid flow faults that occur under the actual operations of circulating fluidized bed boilers. Using the method of measuring pressure fluctuations, for the characterization of fluid dynamics in fluidized beds, has a great advantage, due to its flexible adaptation to any operating conditions to monitor fluidization. This paper presents research into the use of measuring and analyzing pressure fluctuations in wind caps, for the analysis of the gas-solid fluidization characteristics in a fluidized bed with wind cap partial blockages or agglomeration fault. Partial blockages in a wind cap near feeding side and partial blockages in another wind cap near recycling side as well as agglomeration of different extents were simulated in a cold circulating fluidized bed. Pressure fluctuations in the inlets of several wind caps were measured at different primary air velocities under different fault conditions. They were then analyzed with the methods of statistical average, standard deviation, wavelet analysis and homogeneous index. Based on the calculated characteristic parameters, the effects of gas-solid flow faults on the gas-solid fluidization characteristics were analyzed. Results showed that variations of characteristic parameters of pressure fluctuations were related to variations of the gas-solid flow condition, which were caused by wind cap partial blockages or agglomerations. It is shown that the proposed method is practical.

Clinical and Pathological Factors Related to the Prognosis of Chinese Patients with Stage Ⅰb To Ⅱb Cervical Cancer

Xie, Xiu-Zhen,Song, Kun,Cui, Baoxia,Jiang, Jie,Zhang, You-Zhong,Wang, Bo,Yang, Xing-Sheng,Kong, Bei-Hua Asian Pacific Journal of Cancer Prevention 2012 Asian Pacific journal of cancer prevention Vol.13 No.11

Objective: The aim of this retrospective study is to analyze the clinical and pathological factors related to the prognosis of Chinese patients with stage Ib to IIb cervical cancer. Methods and Results: 13 clinical pathological factors in 255 patients with stage Ib to IIb cervical cancer undergoing radical hysterectomy and systematic lymphadenectomy were analyzed to screen for factors related to prognosis. The cumulative 5-year survival of the 255 patients was 75.7%. The result of the univariate analysis suggested that clinical stage, cell differentiation, depth of cervical stromal invasion, parametrial tissue involvement, and lymph node metastasis were prognostic factors for patients with stage Ib to IIb cervical cancer (P<0.05). Compared with cases with involvement of iliac nodes, obturator nodes, or inguinal lymph nodes, cases with metastasis to the common iliac lymph nodes had a poorer prognosis (P<0.05). Cases with involvement of four or more lymph nodes had a poorer prognosis than those with involvement of three or fewer lymph nodes (P<0.05). Using multivariate Cox proportional hazards model regression analysis, non-squamous histological type, poor differentiation, parametrial tissue involvement, and outer 1/3 stromal invasion were found to be independently related to patients poor prognosis (P<0.05). Conclusion: Non-squamous histological type, poor cell differentiation, parametrial tissue involvement, and outer 1/3 stromal invasion are the independent poor prognostic factors for patients with stage Ib to IIb cervical cancer.