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| 1 | Genome-wide CRISPR screen identifies synthetic lethality between DOCK1 inhibition and metformin in liver cancer显示文摘Metformin is currently a strong candidate anti-tumor agent in multiple cancers.However,its anti-tumor effectiveness varies among different cancers or sub-populations,potentially due to tumor heterogeneity.It thus remains unclear which hepatocellular carcinoma(HCC)patient subpopulation(s)can benefit from met-formin treatment.Here,through a genome-wide CRISPR-Cas9-based knockout screen,we find that DOCK1 levels determine the anti-tumor effects of met-formin and that DOCK1 is a synthetic lethal target of metformin in HCC.Mechanistically,metformin promotes DOCK1 phosphorylation,which activates RAC1 to facilitate cell survival,leading to metformin resistance.The DOCK1-selective inhibitor,TBOPP,potentiates anti-tumor activity by metformin in vitro in liver cancer cell lines and patient-derived HCC organoids,and in vivo in xenografted liver cancer cells and immunocompetent mouse liver cancer models.Notably,metformin improves overall survival of HCC patients with low DOCK1 levels but not among patients with high DOCK1 expression.This study shows that metformin effective-ness depends on DOCK1 levels and that combining metformin with DOCK1 inhibition may provide a promising personalized therapeutic strategy for met-formin-resistant HCC patients. | Junru Feng Hui Lu Wenhao Ma Wenjing Tian Zhuan Lu Hongying Yang Yongping Cai Pengfei Cai Yuchen Sun Zilong Zhou Jiaqian Feng Jiazhong Deng Ying Shu Kun Qu Weidong Jia Ping Gao Huafeng Zhang | 2022 | Protein & Cell2022，13，11： | 5 |
| 2 | Label-free SARS-CoV-2 detection and classification using phase imaging with computational specificity显示文摘Efforts to mitigate the COVID-19 crisis revealed that fast,accurate,and scalable testing is crucial for curbing the current impact and that of future pandemics.We propose an optical method for directly imaging unlabeled viral particles and using deep learning for detection and classification.An ultrasensitive interferometric method was used to image four virus types with nanoscale optical path-length sensitivity.Pairing these data with fluorescence images for ground truth,we trained semantic segmentation models based on U-Net,a particular type of convolutional neural network.The trained network was applied to classify the viruses from the interferometric images only,containing simultaneously SARS-CoV-2,H1N1(influenza-A virus),HAdV(adenovirus),and ZIKV(Zika virus).Remarkably,due to the nanoscale sensitivity in the input data,the neural network was able to identify SARS-CoV-2 vs.the other viruses with 96%accuracy.The inference time for each image is 60 ms,on a common graphic-processing unit.This approach of directly imaging unlabeled viral particles may provide an extremely fast test,of less than a minute per patient.As the imaging instrument operates on regular glass slides,we envision this method as potentially testing on patient breath condensates.The necessary high throughput can be achieved by translating concepts from digital pathology,where a microscope can scan hundreds of slides automatically. | Neha Goswami Yuchen R.He Yu-Heng Deng Chamteut Oh Nahil Sobh Enrique Valera Rashid Bashir Nahed Ismail Hyunjoon Kong Thanh H.Nguyen Catherine Best-Popescu Gabriel Popescu | 2021 | Light(Science & Applications)2021，10，9： | 3 |
| 3 | Highly active sites of low spin Fe^(Ⅱ)N_(4)species:The identification and the ORR performance显示文摘Over recent years,catalytic materials of Fe-N-C species have been recognized being active for oxygen reduction reaction(ORR).However,the identification of active site remains challenging as it generally involves a pyrolysis process and mixed components being obtained.Herein Fe_(3)C/C and Fe_(2)N/C samples were synthesized by temperature programmed reduction of Fe precursors in 15%CH_(4)/H_(2)and pure NH_(3),respectively.By acid leaching of Fe_(2)N/C sample,only single sites of FeN_(4)species were presented,providing an ideal model for identification of catalytic functions of the single sites of FeN_(4)in ORR.A correlation was conducted between the concentration of Fe^(Ⅱ)N_(4)in low spin state by Mossbauer spectra and the kinetic current density at 0.8 V in alkaline media,and such a structure-performance correlation assures the catalytic roles of low spin Fe^(Ⅱ)N_(4) species as highly active sites for the ORR. | Huizhu Cai Bingbing Chen Xiao Zhang Yuchen Deng Dequan Xiao Ding Ma Chuan Shi | 2021 | Nano Research2021，14，1： | 2 |
| 4 | Preparation and characterization of pure SiC ceramics by high temperature physical vapor transport induced by seeding with nano SiC particles显示文摘High temperature physical vapor transport(HTPVT) was employed to grow polycrystalline SiC ceramics with high density and purity, induced by nano SiC particles as seeds. The obtained SiC ceramics were identified as 6 H-SiC with a mainly preferred orientation along the(0 0 0 6) plane, and an obvious refinement of grain size was demonstrated for the SiC seeds. Mean grain sizes of the obtained SiC ceramics were112 μm and 314 μm, by using the SiC seeds with the mean particle size of 50 nm and 500 nm, respectively,which were obviously smaller than that of the seed-free sample(960 μm). The samples obtained with the seeds also demonstrated enhanced flexural strength and hardness, attributing to the reduced mean grain size. Furthermore, SiC ceramics without seeds via HTPVT exhibited a high thermal conductivity of242 W·(m·K)^-1 at room temperature due to the highly preferred orientation. While the degree of preferred orientation of seed-induced samples was lower, the thermal conductivity of SiC ceramics induced by seeding still maintained at least 200 W·(m·K)^-1 at room temperature, this level was much higher than most other methods. Therefore, seed-induced method appears to be an effective way to control structures and behavior of SiC ceramics through HTPVT. | Yuchen Deng Yaming Zhang Nanlong Zhang Qiang Zhi Bo Wang Jianfeng Yang | 2019 | Journal of Materials Science & Technology2019，35，12： | 2 |
| 5 | Thermal evaluation of the injectable liquid metal bone cement in orthopedic treatment显示文摘The thermophysical properties of bone cement are important parameters for its application in the orthopedic treatment. This article focused on the thermal evaluation of the low-melting-point metal(Bi In Sn alloy), which has been proved to be an excellent bone cement. Firstly, the basic thermophysical properties of Bi In Sn alloys with different melting points were measured.Secondly, 15 fresh porcine femurs placed in the saline bath, bone cements with different melting points and amounts were injected into the bone cavities, respectively. Thermocouples were used to measure the temperature changes of the bone-cement interface and peripheral bone tissue. The possibility of thermal necrosis was evaluated. Moreover, a three-dimensional human knee model was built to numerically assess the effects of thermal parameters, such as melting point and latent heat on tissue temperature distribution. All the experimental and numerical results implied the heat distribution in the tissue depended on the thermal performances of liquid metal bone cement(LMBC). For LMBC of the same melting point, with increased amounts, the damage to the bone tissue is more severe, while for the same amount of different melting point LMBCs, with the higher melting point, which will lead to more serious damage to the tissue. Also, higher latent heat of LMBC has distinct longer solidification process, which may cause irreversible damage to surrounding tissues. Therefore, in the future, for different clinical surgery needs, the appropriate liquid metal bone cement can be obtained by adjusting the thermal parameters. | ZHANG QingLei YAO YuChen GAO JianYe YANG XiaoHu ZHANG PengJu DENG ZhongShan LIU Jing | 2020 | Science China(Technological Sciences)2020，63，3： | 1 |
| 6 | Absolute quantification of proteins in the fatty acid biosynthetic pathway using protein standard absolute quantification显示文摘With worldwide attention on renewable energy and climate change,metabolic engineering of the fatty acid biosynthetic pathway has become an active area of research,with a view to enhance production of biofuels.Indeed,this pathway has already been extensively studied in Escherichia coli.Nevertheless,little is known about the absolute abundance of the enzymes involved,information that may be valuable for engineering,such as the optimal molar ratios of different proteins.In this study,we use protein standard absolute quantification(PSAQ)to measure the absolute abundance of proteins that catalyze fatty acid biosynthesis in E.coli.In addition,the changes of protein abundance were analyzed by comparing the differences between high-yield and the background strain.Our work highlights opportunities to enhance fatty acid production by measuring protein molar ratios and identifying catalytic and regulatory bottlenecks.More importantly,our results provide evidence that PSAQ is a generally valuable tool to investigate metabolic pathways. | Hui Tao Yuchen Zhang Xiaoying Cao Zixin Deng Tiangang Liu | 2016 | Synthetic and Systems Biotechnology2016，1，3： | 1 |
| 7 | Improved fuzzy set information retrieval approach on duplicate webpage detection显示文摘 | Zhou Yuchen Liu Zuoda Deng Beixing | 2009 | Journal of Information and Computational Science2009，6，2： | 1 |
| 8 | Internet of Things Intrusion Detection System Based on Convolutional Neural Network显示文摘In recent years, the Internet of Things (IoT) technology has developedby leaps and bounds. However, the large and heterogeneous networkstructure of IoT brings high management costs. In particular, the low costof IoT devices exposes them to more serious security concerns. First, aconvolutional neural network intrusion detection system for IoT devices isproposed. After cleaning and preprocessing the NSL-KDD dataset, this paperuses feature engineering methods to select appropriate features. Then, basedon the combination of DCNN and machine learning, this paper designs acloud-based loss function, which adopts a regularization method to preventoverfitting. The model consists of one input layer, two convolutional layers,two pooling layers and three fully connected layers and one output layer.Finally, a framework that can fully consider the user’s privacy protection isproposed. The framework can only exchange model parameters or intermediateresults without exchanging local individuals or sample data. This paperfurther builds a global model based on virtual fusion data, so as to achievea balance between data privacy protection and data sharing computing. Theperformance indicators such as accuracy, precision, recall, F1 score, and AUCof the model are verified by simulation. The results show that the model ishelpful in solving the problem that the IoT intrusion detection system cannotachieve high precision and low cost at the same time. | Jie Yin Yuxuan Shi Wen Deng Chang Yin Tiannan Wang Yuchen Song Tianyao Li Yicheng Li | 2023 | Computers, Materials & Continua2023，，4： | 0 |
| 9 | An Improved Method for Evaluating Hydrocarbon Generation of Shale:A Case Study of the Lower Cretaceous Qingshankou Formation Shale in the Songliao Basin显示文摘Because of the influence of hydrocarbons,especially adsorbed hydrocarbons,on the detection of cracked hydrocarbon(S2)and total organic carbon(TOC),the hydrogen index(HI)-based hydrocarbon generation model deviates from actual practice.In this study,the shale in the first member of the Qingshankou Formation in the central depression of the Songliao Basin,where in northeastern China,was taken as the research object and a correction method for S2 and TOC was established.By correcting the experimental results of different maturity samples,the actual hydrocarbon generation model has been revealed,the differences before and after correction compared,and the evolutionary characteristics of the adsorbed hydrocarbon content were clarified.The results show that the organic matter enters the hydrocarbon generation threshold at R_(o)-0.5% and reaches the hydrocarbon generation peak at R_(o)-1.0% and that the hydrocarbon generation process ends at R_(o)-1.3%.The hydrocarbon generation model established based on the measured values has a‘lag effect’compared to actual values,and this extends the hydrocarbon generation window of organic matter and delays the hydrocarbon generation peak.With the increase of maturity,adsorbed hydrocarbon content shows the characteristics of‘first increasing,then stabilizing,and then decreasing’,and reache s the most abundant stage at Roof 0.9%-1.3%. | ZHANG Yuchen WANG Min LI Jinbu ZHAO Chen YAN Yu XU Liang DENG Zixiao | 2023 | Acta Geologica Sinica(English Edition)2023，97，6： | 0 |
| 10 | Recent progress in high-resolution tactile sensor array:From sensor fabrication to advanced applications显示文摘Tactile sensors can transform the environmental stimuli into electrical signals to perceive and quantify the environmental information,which show huge application prospects.The development of bionic robots and wearable devices towards intelligence has put high demands on the performance of tactile sensor arrays.Herein,the current state-of-the-art tactile sensor arrays over recent years have been summarized,from sensor array fabrication to advanced applications.The main preparation methods of patterned array including screen printing,3D printing,laser microprocessing,and textile technology are discussed in detail.Strategies to optimize the signal crosstalk caused by flexible high-density sensor arrays are systematically introduced from the perspective of structure design and circuit design.Furthermore,advanced tactile sensors are not limited to a single pressure sensing function,and hence the development of multimodal detection for sensors has been discussed.In order to promote the adaptability in applications,stretchable and self-powered versatile integration scheme for advanced sensing are briefly described.Then,by means of machine learning and neural networks,it is possible to deeply explore the information embedded in the tactile acquisition signal with enriched application scenarios.Finally,the current challenges and the future perspectives for flexible tactile sensor arrays towards practical use are provided. | Rui Wang Shaoxiong Hu Wei Zhu Yue Huang Wenhao Wang Ying Li Yuchen Yang Jiajie Yu Yuan Deng | 2023 | Progress in Natural Science:Materials International2023，33，1： | 0 |
| 11 | Cyclo (MQCNS) has the potential to treat ischemic stroke显示文摘We previously found that monocyte locomotion inhibitory factor has a neuroprotective effect on ischemic brain injury during the acute phase of stro ke.Therefore,we modified the structure of an anti-inflammato ry monocyte locomotion inhibitory factor peptide to construct an active cyclic peptide—Cyclo(MQCNS)(LZ-3)—and investigated its effects on ischemic stroke.In this study,we established a rat model of ischemic stroke by occluding the middle cerebral artery and then administered LZ-3(2 or 4 mg/kg) via the tail vein for 7 consecutive days.Our res ults showed that LZ-3(2 or 4 mg/kg) substantially decreased infarct volu m e,reduced co rtical ne rve cell death,improved neurological function,reduced cortical and hippocampal injury,and decreased the levels of inflammatory factors in the blood and brain tissues.In a well-diffe rentiated,oxygen-glucose deprivation/reoxygenation-induced BV2 cell model of poststroke,LZ-3(100 μM) inhibited the JAK1-STAT6 signaling pathway.LZ-3 regulated microglia/macrophage polarization from the M1 to the M2 type and inhibited microglia/macrophage phagocytosis and migration via the JAK1/STAT6 signaling pathway.To conclude,LZ-3 regulates microglial activation by inhibiting the JAK1/STAT6 sign aling pathway and improves functional recovery post-stroke. | Zhibing Song Xinyu Li Mengting Lv Yuchen Guo Shanshan Deng Yuefan Zhang Tiejun Li | 2023 | Neural Regeneration Research2023，18，11： | 0 |
| 12 | Low-thermal-budget Au-free ohmic contact to an ultrathin barrier AlGaN/GaN heterostructure utilizing a micro-patterned ohmic recess显示文摘A pre-ohmic micro-patterned recess process,is utilized to fabricate Ti/Al/Ti/TiN ohmic contact to an ultrathin-barrier(UTB)AlGaN/GaN heterostructure,featuring a significantly reduced ohmic contact resistivity of 0.56Ω·mm at an alloy temperature of 550℃.The sheet resistances increase with the temperature following a power law with the index of +2.58,while the specific contact resistivity decreases with the temperature.The contact mechanism can be well described by thermionic field emission(TFE).The extracted Schottky barrier height and electron concentration are 0.31 eV and 5.52×10^(18) cm^(−3),which suggests an intimate contact between ohmic metal and the UTB-AlGaN as well as GaN buffer.A good correlation between ohmic transfer length and the micro-pattern size is revealed,though in-depth investigation is needed.A preliminary CMOS-process-compatible metal-insulator-semiconductor high-mobility transistor(MIS-HEMT)was fabricated with the proposed Au-free ohmic contact technique. | Wen Shi Sen Huang Xinhua Wang Qimeng Jiang Yixu Yao Lan Bi Yuchen Li Kexin Deng Jie Fan Haibo Yin Ke Wei Yankui Li Jingyuan Shi Haojie Jiang Junfeng Li Xinyu Liu | 2021 | Journal of Semiconductors2021，42，9： | 0 |
| 13 | Engineering Coordination Environment of Cobalt Center in Molecular Catalysts for Improved Photocatalytic CO_(2) Reduction显示文摘The creation of effective and inexpensive catalysts is essential for photocatalytic CO_(2) reduction.Homogeneous molecular catalysts,possessing definite crystal structures,are desirable to study the relationship between catalytic performance and coordination microenvironment around catalytic center.In this report,we elaborately developed three Co(II)-based molecular catalysts with different coordination microenvironments for CO_(2) reduction,named[CoN_(3)O]ClO_(4),[CoN_(4)]ClO_(4),and[CoN_(3)S]ClO_(4),respectively.The optimal[CoN_(3)O]ClO_(4) photocatalyst has a maximum TON of 5652 in photocatalytic reduced CO_(2) reduction,which is 1.28 and 1.65 times greater than that of[CoN_(4)]ClO_(4) and[CoN_(3)S]ClO_(4),respectively.The high electronegativity of oxygen in L1(N,N-bis(2-pyridylmethyl)-N-(2-hydroxybenzyl)amine)provides the Co(II)catalytic centers with low reduction potentials and a more stable*COOH intermediate,which facilitates the CO_(2)-to-CO conversion and accounts for the high photocatalytic activity of[CoN_(3)O]ClO_(4).This work provides researchers new insights in development of catalysts for photocatalytic CO_(2) reduction. | Yuchen Wang Jihong Zhang Wei Yang Weixue Tao Keying Tao Jihua Deng Wenjie Shi Dichang Zhong Tongbu Lu | 2023 | Chinese Journal of Chemistry2023，41，23： | 0 |
| 14 | The concordance between the evolutionary trend and the clinical manifestation of the two SARS-CoV-2 variants显示文摘Coronavirus disease 2019(COVID-19),the disease caused by infection with severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),has developed into a global pandemic that continues to pose an enormous threat to public health and the global economy.Since the first SARS-CoV-2 genome was released[1],thousands of genetic variants have been identified in SARS-CoV-2 strains isolated from worldwide patients. | Ben Hu Ran Liu Xiaolu Tang Yuchen Pan Ming Wang Yongqing Tong Guangming Ye Gaigai Shen Ruochen Ying Aisi Fu Di Li Wanxu Zhao Jing Peng Jie Guo Dong Men Xinmin Yao Yirong Wang Hong Zhang Zhihui Feng Junping Yu Liangjun Chen Zixin Deng Xuemei Lu Ya-Ping Zhang Yirong Li Bende Liu Lilei Yu Yan Li Jian Lu Tiangang Liu | 2021 | National Science Review2021，8，8： | 0 |
| 15 | Atomically dispersed lr/α-MoC catalyst with high metal loading and thermal stability for water-promoted hydrogenation reaction显示文摘Synthesis of atomically dispersed catalysts with high metal loading and thermal stability is challenging but particularly valuable for industrial application in heterogeneous catalysis.Here,we report a facile synthesis of a thermally stable atomically dispersed Ir/α-MoC catalyst with metal loading as high as 4 wt%,an unusually high value for carbide supported metal catalysts.The strong interaction between Ir and theα-MoC substrate enables high dispersion of Ir on the α-MoC surface,and modulates the electronic structure of the supported Ir species.Using quinoline hydrogenation as a model reaction,we demonstrate that this atomically dispersed Ir/α-MoC catalyst exhibits remarkable reactivity,selectivity and stability,for which the presence of high-density isolated Ir atoms is the key to achieving high metal-normalized activity and mass-specific activity.We also show that the water-promoted quinoline hydrogenation mechanism is preferred over the Ir/α-MoC,and contributes to high sele ctivity towards 1,2,3,4-tetrahydroquinoline.The present work demonstrates a new strategy in constructing a high-loading atomically dispersed catalyst for the hydrogenation reaction. | Siwei Li Ruochen Cao Mingquan Xu Yuchen Deng Lili Lin Siyu Yao Xuan Liang Mi Peng Zirui Gao Yuzhen Ge Jin-Xun Liu Wei-Xue Li Wu Zhou Ding Ma | 2022 | National Science Review2022，9，1： | 0 |
| 16 | Clinical characteristics of acute lobar nephronia in renal allograft显示文摘To the Editor:Acute lobar nephronia(ALN),also known as acute focal bacterial nephritis,is a severe form of upper urinary tract infection(UTI)that is characterized by the presence of an inflammatory mass lesion in the kidney without abscess formation.It is considered to be the midpoint between acute pyelonephritis and renal abscess.^([1])ALN was first described in 1979 as a radiologic diagnosis in ten adults and two children.^([2]) | Yuchen Wang Yu He Yanna Liu Ziyan Yan Wenli Zeng Wenfeng Deng Yiling Fang Genxia Wei Jian Xu Yun Miao | 2022 | Chinese Medical Journal2022，，7： | 0 |
| 17 | ICMPTend: Internet Control Message Protocol Covert Tunnel Attack Intent Detector显示文摘The Internet Control Message Protocol(ICMP)covert tunnel refers to a network attack that encapsulates malicious data in the data part of the ICMP protocol for transmission.Its concealment is stronger and it is not easy to be discovered.Most detection methods are detecting the existence of channels instead of clarifying specific attack intentions.In this paper,we propose an ICMP covert tunnel attack intent detection framework ICMPTend,which includes five steps:data collection,feature dictionary construction,data preprocessing,model construction,and attack intent prediction.ICMPTend can detect a variety of attack intentions,such as shell attacks,sensitive directory access,communication protocol traffic theft,filling tunnel reserved words,and other common network attacks.We extract features from five types of attack intent found in ICMP channels.We build a multi-dimensional dictionary of malicious features,including shell attacks,sensitive directory access,communication protocol traffic theft,filling tunnel reserved words,and other common network attack keywords.For the high-dimensional and independent characteristics of ICMP traffic,we use a support vector machine(SVM)as a multi-class classifier.The experimental results show that the average accuracy of ICMPTend is 92%,training ICMPTend only takes 55 s,and the prediction time is only 2 s,which can effectively identify the attack intention of ICMP. | Tengfei Tu Wei Yin Hua Zhang Xingyu Zeng Xiaoxiang Deng Yuchen Zhou Xu Liu | 2022 | Computers, Materials & Continua2022，，5： | 0 |
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