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| 1 | Characteristics of the internal waves and their effects on the sound transmission in the Midst of the Yellow Sea显示文摘In the late summer of 1996, a combined acoustics and physical oceanography experiment (YS96) was performed in the midst of the Yellow Sea. Here the oceanographic data are analyzed and the internal wave spectrum is constructed. It shows that the internal wavesare dominated by the first modes and the spectral density is approximately proportional to w-s/z. Based on the internal wave spectrum, a model of the induced sound-speed distribution is developed, and computer simulation is conducted for CW signal propagation by using the PE method. Numerical results of the sound intensity fluctuations are preseflted for comparison with the experimental data. | YAN Jin ZHANG Renhe ZHOU Shihong SHA Liewei (National Laboratory of Acoustics, Chinese Academy of Sciences Beijing 100080) | 1999 | Chinese Journal of Acoustics1999，18，1： | 6 |
| 2 | Regulation of sister chromatid cohesion by nuclear PD-L1显示文摘Programmed death ligand-1(PD-L1 or B7-H1)is well known for its role in immune checkpoint regulation,but its function inside the tumor cells has rarely been explored.Here we report that nuclear PD-L1 is important for cancer cell sister chromatid cohesion.We found that depletion of PD-L1 suppresses cancer cell proliferation,colony formation in vitro,and tumor growth in vivo in immune-deficient NSG mice independent of its role in immune checkpoint.Specifically,PD-L1 functions as a subunit of the cohesin complex,and its deficiency leads to formation of multinucleated cells and causes a defect in sister chromatid cohesion.Mechanistically,PD-L1 compensates for the loss of Sororin,whose expression is suppressed in cancer cells overexpressing PD-L1.PD-L1 competes with Wing Apart-Like(WAPL)for binding to PDS5B,and secures proper sister chromatid cohesion and segregation.Our findings suggest an important role for nuclear PD-L1 in cancer cells independent of its function in immune checkpoint. | Jia Yu Bo Qin Ann MMoyer Somaira Nowsheen Xinyi Tu Haidong Dong Judy CBoughey Matthew PGoetz Richard Weinshilboum Zhenkun Lou Liewei Wang | 2020 | Cell Research2020，30，7： | 3 |
| 3 | Photosensitizer conjugate-functionalized poly(hexamethylene guanidine) for potentiated broad-spectrum bacterial inhibition and enhanced biocompatibility显示文摘Pathogen infection is the main cause of human morbidity and death.Traditional antibiotics usually sterilize bacteria in chemical ways,which tends to develop serious antibiotic resistance.Cationic polymers exhibit good bacterial inhibition with less resistance,but often face severe cytotoxicity toward normal cells.The optimization of polymeric antimicrobials for enhanced bactericidal capacity and improved biocompatibility is quite meaningful.In addition,photodynamic therapy(PDT) is a therapeutic modality with less susceptibility to develop resistance.Herein,a typical commercial polymeric antimicrobial,polyhexamethylene guanidine(PHMG) was selected for current proof-of-concept optimization due to its excellent bactericidal capacity but moderate biocompatibility.Eosin-Y(EoS)was copolymerized to afford EoS-labeled polymer conjugates,poly(2-(dimethylamino) ethyl methacrylate-co-eosin),P(DMAEMA-co-EoS),which was conjugated with PHMG to afford a novel polymeric antimicrobial,P(DMAEMA-co-EoS)-b-PHMG-b-P(DMAEMA-co-EoS),noted as PEoS-PHMG.It could efficiently kill broad-spectrum bacteria by physical damage and photodynamic therapy.Compared with PHMG,the bacterial inhibition of PEoS-PHMG was potentiated after the functionalization.Furthermore,PEoS-PHMG exhibited low cytotoxicity and minimal hemolysis,which was demonstrated by cell viability assays toward LO2 cells and RAW 264.7 cells as well as hemolytic assays against red blood cells.These results confirmed that the resultant PEoS-PHMG could act as promising alternative antibacterial materials with excellent broad-spectrum bacterial inhibition and favorable biocompatibility. | Fengfeng Xiao Bing Cao Liewei Wen Yanhong Su Meixiao Zhan Ligong Lu Xianglong Hu | 2020 | Chinese Chemical Letters2020，31，9： | 2 |
| 4 | DBC1 Functions as a Tumor Suppressor by Regulating p53 Stability显示文摘 | Bo Qin Katherine Minter-Dykhouse Jia Yu Jun Zhang Tongzheng Liu Haoxing Zhang SeungBaek Lee JungJin Kim Liewei Wang Zhenkun Lou | 2015 | Cell Reports2015，，： | 1 |
| 5 | An improved gridding method for spiral MRI using nonuniform fast Fourier transforms 显示文摘 | SHA Liewei GUO Hua SONG Anwen | 2003 | Journal of Magnetic Resonance2003，162，2： | 1 |
| 6 | Genomics and drug re- sponse显示文摘 | Liewei W McLeod H L Weinshilboum R M | 2011 | N Engl J Med2011，364，364： | 1 |
| 7 | ATP-sensitive K^+ channel openers prevent Ca^2+ overload in rat cardiac mitochondria显示文摘 | Ekhsoo L Holmuohamedov Liewei W | 1999 | J Physiology1999，5192，： | 1 |
| 8 | An improved gridding method for spiral MRI using nonuniform fast Fourier transform显示文摘 | Liewei Sha Hua Guo Allen W Song | 2003 | J Magn Reson2003，162，6： | 1 |
| 9 | SEU sensitivity and large spacing TMR efficiency of Kintex-7 and Virtex-7 FPGAs显示文摘Dear editor,The static random-access memory(SRAM)-based field programmable gate arrays(FPGAs)mainly composed of extensive configurable logic blocks(CLBs),high-speed embedded memories(BRAMs),and a set of programmable routing,wires or switch boxes[1,2]are commonly used in avionic and space fields because of their advanced performance and high flexible in-field reprogramming abilities[2]. | Chang CAI Bingxu NING Xue FAN Tianqi LIU Lingyun KE Gengsheng CHEN Jian YU Ze HE Liewei XU Jie LIU | 2022 | Science China(Information Sciences)2022，65，2： | 1 |
| 10 | Effects of environmental uncertainties on so-nar detection performance prediction显示文摘 | Liewei S Nolte L W | 2005 | The Journal of theAcoustical Society of America2005，117，4： | 1 |
| 11 | FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt显示文摘 | Huadong Pei Liang Li Brooke L. Fridley Gregory D. Jenkins Krishna R. Kalari Wilma Lingle Gloria Petersen Zhenkun Lou Liewei Wang | 2009 | Cancer Cell2009，，3： | 1 |
| 12 | Human thiopurine S-methyltransferase pharmacogenetics: variant allozyme misfolding and aggresome formation 显示文摘 | LIEWEI W TIEN V N RICHARD W M | 2005 | PNAS2005，102，26： | 1 |
| 13 | Metamorphic growth and recrystallization of zircon: Distinction by simultaneous in-situ analyses of trace elements, U-Th-Pb and Lu-Hf isotopes in zircons from eclogite-facies rocks in the Sulu orogen显示文摘 | CHEN Renxu ZHENG Yongfei XIE Liewei | 2010 | Lithos2010，114，12： | 1 |
| 14 | A Study on the Evaluation and Controlling of Service Quality for 3^rd Party Logistics显示文摘 | Liewei Chen Shuguang He Ershi Qi | 2006 | Journal of US-China Public Administration2006，3，2： | 0 |
| 15 | Preclinical-to-clinical Anti-cancer Drug Response Prediction and Biomarker Identification Using TINDL显示文摘Prediction of the response of cancer patients to different treatments and identification of biomarkers of drug response are two major goals of individualized medicine.Here,we developed a deep learning framework called TINDL,completely trained on preclinical cancer cell lines(CCLs),to predict the response of cancer patients to different treatments.TINDL utilizes a tissue-informed normalization to account for the tissue type and cancer type of the tumors and to reduce the statistical discrepancies between CCLs and patient tumors.Moreover,by making the deep learning black box interpretable,this model identifies a small set of genes whose expression levels are predictive of drug response in the trained model,enabling identification of biomarkers of drug response.Using data from two large databases of CCLs and cancer tumors,we showed that this model can distinguish between sensitive and resistant tumors for 10(out of 14)drugs,outperforming various other machine learning models.In addition,our small interfering RNA(siRNA)knockdown experiments on 10 genes identified by this model for one of the drugs(tamoxifen)confirmed that tamoxifen sensitivity is substantially influenced by all of these genes in MCF7 cells,and seven of these genes in T47D cells.Furthermore,genes implicated for multiple drugs pointed to shared mechanism of action among drugs and suggested several important signaling pathways.In summary,this study provides a powerful deep learning framework for prediction of drug response and identification of biomarkers of drug response in cancer.The code can be accessed at http://gffzz188fe103f8f1460asxckuok65pnq66o60.ffgz.tsg.suse.edu.cn/ddhostallero/tindl. | David Earl Hostallero Lixuan Wei Liewei Wang Junmei Cairns Amin Emad | 2023 | Genomics, Proteomics & Bioinformatics2023，21，3： | 0 |
| 16 | A ribosomal gene panel predicting a novel synthetic lethality in non-BRCAness tumors显示文摘Poly(ADP-ribose)polymerase(PARP)inhibitors are one of the most exciting classes of targeted therapy agents for cancers with homologous recombination(HR)deficiency.However,many patients without apparent HR defects also respond well to PARP inhibitors/cisplatin.The biomarker responsible for this mechanism remains unclear.Here,we identified a set of ribosomal genes that predict response to PARP inhibitors/cisplatin in HR-proficient patients.PARP inhibitor/cisplatin selectively eliminates cells with high expression of the eight genes in the identified panel via DNA damage(ATM)signaling-induced pro-apoptotic ribosomal stress,which along with ATM signaling-induced pro-survival HR repair constitutes a new model to balance the cell fate in response to DNA damage.Therefore,the combined examination of the gene panel along with HR status would allow for more precise predictions of clinical response to PARP inhibitor/cisplatin.The gene panel as an independent biomarker was validated by multiple published clinical datasets,as well as by an ovarian cancer organoids library we established.More importantly,its predictive value was further verified in a cohort of PARP inhibitor-treated ovarian cancer patients with both RNA-seq and WGS data.Furthermore,we identified several marketed drugs capable of upregulating the expression of the genes in the panel without causing HR deficiency in PARP inhibitor/cisplatin-resistant cell lines.These drugs enhance PARP inhibitor/cisplatin sensitivity in both intrinsically resistant organoids and cell lines with acquired resistance.Together,our study identifies a marker gene panel for HR-proficient patients and reveals a broader application of PARP inhibitor/cisplatin in cancer therapy. | Chao Zhang Qiang Guo Lifeng Chen Zheming Wu Xiao-Jian Yan Chengyang Zou Qiuxue Zhang Jiahong Tan Tian Fang Qunxian Rao Yang Li Shizhen Shen Min Deng Liewei Wang Huanyao Gao Jia Yu Hu Li Cheng Zhang Somaira Nowsheen Jake Kloeber Fei Zhao Ping Yin Chunbo Teng Zhongqiu Lin Kun Song Shuzhong Yao Liangqing Yao Lingying Wu Yong Zhang Xiaodong Cheng Qinglei Gao Jian Yuan Zhenkun Lou Jin-San Zhang | 2023 | Signal Transduction and Targeted Therapy2023，8，6： | 0 |
| 17 | A Study on the Adaptability of Yunnan Tea Cultivars in Southern Fujian显示文摘With Camellia sinensis( L.) O. Kuntze cv Fuding Dabaicha as the control,an experiment was conducted to study the adaptability of Yunnan tea cultivars Zijuan,Yunkang 10,Yunkang 14,Foxiang 3,Yuncha 1,Jinggu Dabaicha,Xueya 100,in Zhangzhou,south Fujian tea area,during 2012- 2014. The results show that the tea cultivars( Yunkang 14,Foxiang 3,Jinggu Dabaicha) grow in general conditions;while the cultivars( Zijuan,Yunkang 10,Yuncha 1,Xueya 100) show good adaptability in south Fujian tea area,and they grow in good conditions,and they are as good as the control cultivar Fuding Dabaicha,in terms of bud leaf traits,resistance and chemical quality,etc. So these cultivars are suitable for cultivation in southern Fujian tea area. | Liewei CAI Yanhua ZHOU Shuangxu YANG Yanli ZHANG Bo HU Hujin GUO Shibin WU | 2016 | Asian Agricultural Research2016，8，10： | 0 |
| 18 | Author Correction:Regulation of sister chromatid cohesion by nuclear PD-L1显示文摘In the initial version of this article published online,there was a typo of the figure number in the discussion section.'Fig.4a,b' should be 'Fig.5a,b'.The correct information is as follows.This correction does not affect the description of the results or the conclusion of this work. | Jia Yu Bo Qin Ann M.Moyer Somaira Nowsheen Xinyi Tu Haidong Dong Judy C.Boughey Matthew P.Goetz Richard Weinshilboum Zhenkun Lou Liewei Wang | 2020 | Cell Research2020，30，9： | 0 |
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