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| 1 | miR-27b inhibits gastric cancer metastasis by targeting NR2F2显示文摘增加的注意在癌症过程集中于 miRNAs 的下面规定。原子受体亚科 2 (NR2F2,也作为 COUP-TFII 知道) 涉及癌症的许多类型的发展,但是它在胃的癌症的角色留下逃犯。在这个实验, oncomine 和 Kaplan-meier 数据库表明 NR2F2 在胃的癌症是起来调整的并且高 NR2F2 表示贡献了差的幸存。MicroRNA-27b 被指向并且由在人的胃的癌症纸巾和房间的 NR2F2 下面调整。miR-27b 的宫外的表示在 vitro 并且在 vivo 禁止了胃的癌症房间增长和肿瘤生长。试金建议 miR-27b 的 overexpression 能支持 MGC-803 房间移植和侵略并且延迟他们的转移到肝。另外, miR-27b 的下面规定在 vitro 提高了 GES-1 房间增长和转移。这些调查结果表明 miR-27b 为改进病人是在胃的癌症和 biomarker 的肿瘤 suppressor 幸存。 | Qingzhao Feng Xionglin Wu Fuchao Li Beibei Ning Xiaofeng Lu Yin Zhang Ying Pan Wenxian Guan | 2017 | Protein & Cell2017，8，2： | 16 |
| 2 | Evaluation of irrigation water salinity and leaching fraction on the water productivity for crops显示文摘In arid and semi-arid irrigated croplands,the excessive accumulation of soluble salts in the root zone is an extensive problem that seriously limits crop yield and water productivity(WP).To avoid affects the yield potential of crops,the application of extra irrigation for leaching of excessive salts from the root zone was required.Quantitative knowledge of effects of the irrigation water salinity and leaching fraction(LF)on the relative yield(RY)and the unit water productivity of crop evapotranspiration(UWPET)and the unit water productivity of irrigation water(UWPI)were becoming gradually important.This article provided theoretical models for estimating the UWPs(UWPET and UWPI)and optimizing leaching fraction according to irrigation water salinity.In the present study,eight levels of irrigation water salinity(ECw=0.25,0.50,0.75,1,2,3,4,and 5 dS/m)and 39 levels of LF values ranging from 0.04 to 0.80 were set and tested to assessing their effects on the RY and UWPs for four typical crops(barley,bean,wheat,and maize)with different salt tolerance levels.Almost every curve determined between the UWPs and LFs for the four crops had an inflection point.It was indicated that the UWPET and UWPI could be maximized by optimizing the LF under different irrigation water salinities.Furthermore,the linear regression relationships were established to estimate the maximum values of UWPs and their corresponding optimal LFs for four crops by using the irrigation water salinity.Moreover,the theoretical models for estimating the UWPs were validated by data of wheat from previous literature,and the models could be suitable with acceptable relative errors when LFs ranging from 0.07 to 0.17. | Songrui Ning Beibei Zhou Quanjiu Wang Wanghai Tao | 2020 | International Journal of Agricultural and Biological Engineering2020，13，1： | 2 |
| 3 | Novel dual inhibitor for targeting PIM1 and FGFR1 kinases inhibits colorectal cancer growth in vitro and patient-derived xenografts in vivo显示文摘Colorectal cancer(CRC) is the second most common cause of cancer-related death in the world. The pro-viral integration site for Moloney murine leukemia virus 1(PIM1) is a proto-oncogene and belongs to the serine/threonine kinase family, which are involved in cell proliferation, migration,and apoptosis. Fibroblast growth factor receptor 1(FGFR1) is a tyrosine kinase that has been implicated in cell proliferation, differentiation and migration. Small molecule HCI-48 is a derivative of chalcone, a class of compounds known to possess anti-tumor, anti-inflammatory and antibacterial effects. However,the underlying mechanism of chalcones against colorectal cancer remains unclear. This study reports that HCI-48 mainly targets PIM1 and FGFR1 kinases, thereby eliciting antitumor effects on colorectal cancer growth in vitro and in vivo. HCI-48 inhibited the activity of both PIM1 and FGFR1 kinases in an ATPdependent manner, as revealed by computational docking models. Cell-based assays showed that HCI-48inhibited cell proliferation in CRC cells(HCT-15, DLD1, HCT-116 and SW620), and induced cell cycle arrest in the G2/M phase through modulation of cyclin A2. HCI-48 also induced cellular apoptosis, as evidenced by an increase in the expression of apoptosis biomarkers such as cleaved PARP, cleaved caspase 3 and cleaved caspase 7. Moreover, HCI-48 attenuated the activation of downstream components of the PIM1 and FGFR1 signaling pathways. Using patient-derived xenograft(PDX) murine tumor models,we found that treatment with HCI-48 diminished the PDX tumor growth of implanted CRC tissue expressing high protein levels of PIM1 and FGFR1. This study suggests that the inhibitory effect of HCI-48 on colorectal tumor growth is mainly mediated through the dual-targeting of PIM1 and FGFR1kinases. This work provides a theoretical basis for the future application of HCI-48 in the treatment of clinical CRC. | Fanxiang Yin Ran Zhao Dhilli Rao Gorja Xiaorong Fu Ning Lu Hai Huang Beibei Xu Hanyong Chen Jung-Hyun Shim Kangdong Liu Zhi Li Kyle Vaughn Laster Zigang Dong Mee-Hyun Lee | 2022 | Acta Pharmaceutica Sinica B2022，12，11： | 1 |
| 4 | Enhancement on interlaminar shear strength and tribological properties in water of ultra high molecular weight polyethylene/glass fabric/phenolic laminate composite by surface modification of fillers显示文摘 | Ning Liu Jianzhang Wang Beibei Chen | 2014 | Materials and Design2014，，55： | 1 |
| 5 | New insight into the synergy of nitrogen-related sites on biochar surface for sulfamethoxazole adsorption from water显示文摘In-depth exploration of the relationship among different adsorption sites is conducive to design of efficient adsorbents for target pollutants removal from water.In this study,the experiments,multivariate non-linear regression and density functional theory calculations are applied to explore the possible synergistic effects of three nitrogen(N)-containing sites on cow dung biochar surface for sulfamethoxazole(SMX)adsorption.Notably,a strong synergistic effect between pyridinic N and pyrrolic N sites was found for sulfamethoxazole adsorption.The adsorption energies of SMX on four pyrrolic N-coupled pyridinic N structures were-1.02,-0.41,-0.49 and-0.72 e V,much higher than the sum of adsorption energies(-0.31 e V)on pyrrolic N and pyridinic N.Besides,the alteration of Mulliken charge revealed that the simultaneous presence of pyridinic N and pyrrolic N improved the electron transfer remarkably from-0.459 e and 0.094 e to-0.649 e and 0.186 e,benefiting for SMX adsorption.This work firstly explored the possible synergies of adsorption sites on biochar surface for organic contaminants removal from water,which shed new lights on the adsorption mechanism and provided valuable information to design efficient adsorbents in the field of water treatment. | Chuanbin Wang Lingchao Kong Yanshan Wang Xiaoqiang Cui Ning Li Beibei Yan Guanyi Chen | 2023 | Chinese Chemical Letters2023，34，9： | 0 |
| 6 | HITAC-seq enables high-throughput cost-effective sequencing of plasmids and DNA fragments with identity显示文摘DNA sequencing is vital for many aspects of biological research and diagnostics. Despite the development of second and third generation sequencing technologies, Sanger sequencing has long been the only choice when required to precisely track each sequenced plasmids or DNA fragments. Here, we report a complete set of novel barcoding and assembling system, Highly-parallel Indexed Tagmentation-reads Assembled Consensus sequencing(HITAC-seq), that could massively sequence and track the identities of each individual sequencing sample. With the cost of much less than that of single read of Sanger sequencing,HITAC-seq can generate high-quality contiguous sequences of up to 10 kilobases or longer. The capability of HITAC-seq was confirmed through large-scale sequencing of thousands of plasmid clones and hundreds of amplicon fragments using approximately 100 pg of input DNAs. Due to its long synthetic length, HITACseq was effective in detecting relatively large structural variations, as demonstrated by the identification of a~1.3 kb Copia retrotransposon insertion in the upstream of a likely maize domestication gene. Besides being a practical alternative to traditional Sanger sequencing, HITAC-seq is suitable for many highthroughput sequencing and genotyping applications. | Xiang Gao Weipeng Mo Junpeng Shi Ning Song Pei Liang Jian Chen Yiting Shi Weilong Guo Xinchen Li Xiaohong Yang Beibei Xin Haiming Zhao Weibin Song Jinsheng Lai | 2021 | Journal of Genetics and Genomics2021，48，8： | 0 |
| 7 | Sanguinarine suppresses cell proliferation, migration and invasion in nasopharyngeal carcinoma via inhibiting mTOR signaling显示文摘OBJECTIVE: To confirm the anti-NPC effect of sanguinarine(SA) through a series of wet experiments.METHODS: NPC cell viability was determined by proliferation experiment. Cell clone formation experiment, cell scratch test, transwell migration and invasion experiment and flow cytometry-based cell apoptosis assay were further performed. In addition, Western blotting was performed to investigate the cell signaling pathway. All the relevant experimental data were statistically processed using SPSS 16.0 software.RESULTS: The results showed that sanguinarine represented a time and dose dependent inhibition effects on NPC cell proliferation including the low differentiated CNE2 cells and high metastatic 5-8F cells, along with the cell cloning ability reduction. In addition, sanguinarine has a certain inhibitory effect on the invasion and migration of NPC cells. Mechanistically, sanguinarine displayed the anti-NPC effects mainly involved into the suppression of m TOR signaling and cell apoptosis, which is closely associated with the tumor growth and metastatic malignancy. CONCLUSIONS: Collectively, we discover that sanguinarine is a new high-efficiency anti-NPC monomer of Chinese medicine, with a value for the follow-up preclinical research. | YANG Mengzhe ZHANG Beibei LIANG Zhenqiang CHENG Nannan LüAnqiao YANG Jianyu GUO Xingzhe BAI Xianyu HUANG Yuanjiao JIAO Aijun XU Ning | 2022 | Journal of Traditional Chinese Medicine2022，42，5： | 0 |
| 8 | Artificial intelligence-based non-invasive tumorsegmentation, grade stratification and prognosisprediction for clear-cell renal-cell carcinoma显示文摘Due to the complicated histopathological characteristics of clear-cell renal-cell carcinoma(ccRcC),non-invasive prognosis before operative treatment is crucial in selecting the appropriate treatment.A total of 126345 computerized tomography(cT)images from four independent patient cohorts were included for analysis in this study.We propose a V Bottieneck multi-resolution and focus-organ network(VB-MrFo-Net)using a cascade framework for deep learning analysis.The VB-MrFo-Net achieved better performance than VB-Net in tumor segmentation,with a Dice score of 0.87.The nuclear-grade prediction model performed best in the logistic regression classifier,with area under curve values from 0.782 to 0.746.Survival analysis revealed that our prediction model could significantly distinguish patients with high survival risk,with a hazard ratio(HR)of 2.49[95%confidence interval(CI):1.13-5.45,P=0.023]in the General cohort.Excellent performance had also been verified in the Cancer Genome Atlas cohort,the Clinical Proteomic Tumor Analysis Consortium cohort,and the Kidney Tumor Segmentation Challenge cohort,with HRs of 2.77(95%CI:1.58-4.84,P=0.0019),3.83(95%CI:1.22-11.96,P=0.029),and 2.80(95%CI:1.05-7.47,P=0.025),respectively.In conclusion,we propose a novel VB-MrFo-Net for the renal tumor segmentation and automatic diagnosis of ccRcc.The risk stratification model could accurately distinguish patients with high tumor grade and high survival risk based on non-invasive CT images before surgical treatments,which couid provide practical advicefordecidingtreatmentoptions. | Siteng Chen Dandan Song Lei Chen Tuanjie Guo Beibei Jiang Aie Liu Xianpan Pan Tao Wang Heting Tang Guihua Chen Zhong Xue Xiang Wang Ning Zhang Junhua Zheng | 2023 | Precision Clinical Medicine2023，6，3： | 0 |
| 9 | Interactions of phenol and benzaldehyde in electrocatalytic upgrading process显示文摘Biomass pyrolysis oil can be improved effectively by electrocatalytic hydrogenation(ECH).However,the unclear interactions among different components lead to low bio-oil upgrading efficiency in the conversion process.Herein,benzaldehyde and phenol,as common compounds in bio-oil,were chosen as model compounds.The interactions between the two components were explored in the ECH process by combining experiments and theoretical calculations.Results showed that phenol could accelerate the conversion of benzaldehyde in the ECH.The selectivity of benzyl alcohol was increased from 60.9%of unadded phenol to 99.1%with 30 mmol/L phenol concentration at 5 h.Benzaldehyde inhibited the ECH of phenol.In the presence of benzaldehyde,the conversion rate of phenol was below 10.0%with no cyclohexanone and cyclohexanol formation at 5 h.The density functional theory(DFT)calculations revealed that the phenol could promote the adsorption of benzaldehyde and facilitate the targeted conversion of benzaldehyde on the active site by lowering the reaction energy barrier.The research on the interaction between phenol and benzaldehyde in the ECH provides a theoretical basis for the application of ECH in practical bio-oil upgrading. | Lan Liang Chuanbin Wang Xukai Lu Yunan Sun Beibei Yan Ning Li Guanyi Chen Li'an Hou | 2024 | Chinese Chemical Letters2024，35，2： | 0 |
| 10 | Prediction of high-density polyethylene pyrolysis using kinetic parameters based on thermogravimetric and artificial neural networks显示文摘Pyrolysis is considered an attractive option and a promising way to dispose waste plastics.The thermogravimetric experiments of high-density polyethylene(HDPE)were conducted from 105℃ to 900℃ at different heating rates(10℃/min,20℃/min,and 30℃/min)to investigate their thermal pyrolysis behavior.We investigated four methods including three model-free methods and one modelfitting method to estimate dynamic parameters.Additionally,an artificial neural network model was developed by providing the heating rates and temperatures to predict the weight loss(wt.%)of HDPE,and optimized via assessing mean squared error and determination coefficient on the test set.The optimal MSE(2.6297×10^(−2))and R^(2) value(R^(2)>0.999)were obtained.Activation energy and preexponential factor obtained from four different models achieves the acceptable value between experimental and predicted results.The relative error of the model increased from 2.4%to 6.8%when the sampling frequency changed from 50 s to 60 s,but showed no significant difference when the sampling frequency was below 50 s.This result provides a promising approach to simplify the further modelling work and to reduce the required data storage space.This study revealed the possibility of simulating the HDPE pyrolysis process via machine learning with no significant accuracy loss of the kinetic parameters.It is hoped that this work could potentially benefit to the development of pyrolysis process modelling of HDPE and the other plastics. | Xiaoxiao Yin Junyu Tao Guanyi Chen Xilei Yao Pengpeng Luan Zhanjun Cheng Ning Li Zhongyue Zhou Beibei Yan | 2023 | Frontiers of Environmental Science & Engineering2023，17，1： | 0 |
| 11 | A zero-sum game or an interactive frame?Iron competition between bacteriaand humans ininfectionwar显示文摘Iron is an essential trace element for both humans and bacteria.It plays a vital role in life,such as in redox reactions and electron transport.Strict regulatory mechanisms are necessary to maintain iron homeostasis because both excess and insufficient iron are harmful to life.Competition for iron is a war between humans and bacteria.To grow,reproduce,colonize,and successfully cause infection,pathogens have evolved various mechanisms for iron uptake from humans,principally Fe^(3+)-siderophore and Fe^(2+)-heme transport systems.Humans have many innate immune mechanisms that regulate the distribution of iron and inhibit bacterial iron uptake to help resist bacterial invasion and colonization.Meanwhile,researchers have invented detection test strips and coupled antibiotics with siderophores to create tools that take advantage of this battle for iron,to help eliminate pathogens.In this review,we summarize bacterial and human iron metabolism,competition for iron between humans and bacteria,siderophore sensors,antibiotics coupled with siderophores,and related phenomena.We also discuss how competition for iron can be used for diagnosis and treatment of infection inthefuture. | Zhenchao Wu Jiqi Shao Jiajia Zheng Beibei Liu Zhiyuan Li Ning Shen | 2022 | Chinese Medical Journal2022，135，16： | 0 |
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