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Optoelectronics Letters 2024年

作者： LI Wenqiang wu min LI Weijun HAO Meilan YU Lina AnnLab Institute of Semiconductors Chinese Academy of Sciences School of Electronic Electrical and Communication Engineering & School of Integrated Circuits University of Chinese Academy of Sciences Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology

In recent years， machine learning (ML) techniques have been shown to be effective in accelerating the development process of optoelectronic devices. However， as "black box" models， they have limited theoretical interpretability. In this work， we leverage symbolic regression (SR) technique for discovering the explicit symbolic relationship between the structure of the optoelectronic Fabry-Perot (FP) laser and its optical field distribution， which greatly improving model transparency compared to ML. We demonstrated that the expressions explored through SR exhibit lower errors on the test set compared to ML models which suggests that the expressions have better fitting and generalization capabilities.

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Discovering deaminases using AlphaFold2:a strategy to search for tool proteins for gene editing

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Signal Transduction and Targeted Therapy 2024年第3期9卷 822-824页

作者： Yongye Huang Jianxin Jiang min wu Key Laboratory of Bioresource Research and Development of Liaoning Province College of Life and Health SciencesNortheastern UniversityShenyang 110169China Wound Trauma Medical Center State Key Laboratory of TraumaBurns and Combined InjuryDaping HospitalArmy Medical UniversityChongqing 400042China Wenzhou Traditional Chinese Medicine Hospital of Zhejiang Chinese Medical University WenzhouZhejiang 325000China Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325000China The Joint Research Center Affiliated Xiangshan Hospital of Wenzhou Medical UniversityNingboChina

A recent study by Huang et al.published in Cell reported the application of AlphaFold2 to forecast the structures of deaminase proteins and cluster them based on structural similarity,creating a truncated Sdd that can be used as a cytosine base editor(CBE)to be integrated into a single adeno-associated virus(AAV)1 This ground-breaking study aided by the artificial intelligence system would largely broaden the utility of tool proteins for gene editing.

关键词： CBE Alpha editor

The significance of long non-coding RNAs in the pathogenesis,diagnosis and treatment of inflammatory bowel disease

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Precision Clinical Medicine 2024年第1期7卷 34-53页

作者： Fei Jiang min wu Rongpeng Li Jiangsu Province Engineering Research Center of Cardiovascular Drugs Targeting Endothelial Cells School of Life SciencesJiangsu Normal UniversityXuzhou 221000China Department of Laboratory Medicine the Affliated Hospital of Xuzhou Medical UniversityXuzhou 221000China Drug Discovery Section Wenzhou InstituteUniversity of Chinese Academy of SciencesWenzhou 325000China Department of Neurology Medical College of WisconsinMilwaukeeWI 53226USA

Inflammatory bowel diseases(IBD)are a group of chronic relapsing gastrointestinal inflammatory diseases with significant global incidence.Although the pathomechanism of IBD has been extensively investigated,several aspects of its pathogenesis remain unclear.Long non-coding RNAs(lncRNAs)are transcripts with more than 200 nucleotides in length that have potential protein-coding functions.LncRNAs play important roles in biological processes such as epigenetic modification,transcriptional regulation and posttranscriptional regulation.In this review,we summarize recent advances in research on IBD-related lncRNAs from the perspective of the overall intestinal microenvironment,as well as their potential roles as immune regulators,diagnostic biomarkers and therapeutic targets or agents for IBD.

关键词： IncRNAs inflammatory bowel diseases intestinal barrier intestinal microenvironment immune regulator diagnostic biomarker therapeutic target

Hybrid Dynamic Variables-Dependent Event-Triggered Fuzzy Model Predictive Control

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 723-733页

作者： Xiongbo Wan Chaoling Zhang Fan Wei Chuan-Ke Zhang min wu IEEE the School of Automation China University of Geosciencesthe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsand the Engineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationWuhan 430074China

This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative dynamic variable and an additive dynamic variable.The addressed DETM-based fuzzy MPC issue is described as a “min-max” optimization problem(OP).To facilitate the co-design of the MPC controller and the weighting matrix of the DETM,an auxiliary OP is proposed based on a new Lyapunov function and a new robust positive invariant(RPI) set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy MPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI set.With the designed controller,the involved fuzzy system is ensured to be asymptotically stable.Two examples show that the new DETM and DETM-based MPC algorithm have the advantages of reducing resource consumption while yielding the anticipated performance.

关键词： Dynamic event-triggered mechanism(DETM) hybrid dynamic variables model predictive control(MPC) robust positive invariant(RPI)set T-S fuzzy systems

Identification of key genes regulating the synthesis of quercetin derivatives in Rosa roxburghii through integrated transcriptomics and metabolomics

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Journal of Integrative Agriculture 2024年第3期23卷 876-887页

作者： Liyao Su min wu Tian Zhang Yan Zhong Zongming(Max) Cheng State Key Laboratory of Crop Genetics and Germplasm Enhancement College of HorticultureNanjing Agricultural UniversityNanjing210095China

Rosa roxburghii fruit is rich in flavonoids, but little is known about their biosynthetic pathways. In this study, we employed transcriptomics and metabolomics to study changes related to the flavonoids at five different stages of R. roxburghii fruit development. Flavonoids and the genes related to their biosynthesis were found to undergo significant changes in abundance across different developmental stages, and numerous quercetin derivatives were identified. We found three gene expression modules that were significantly associated with the abundances of the different flavonoids in R. roxburghii and identified three structural UDP-glycosyltransferase genes directly involved in the synthesis of quercetin derivatives within these modules. In addition, we found that RrBEH4, RrLBD1 and RrPIF8could significantly increase the expression of downstream quercetin derivative biosynthesis genes. Taken together,these results provide new insights into the metabolism of flavonoids and the accumulation of quercetin derivatives in R. roxburghii.

关键词： Rosa roxburghii quercetin derivatives weighted gene co-expression network analysis transcription factor transcriptome metabolome

Amorphous NiMo_(3)S_(13)/nickel foam integrated anode for lithium-ion batteries

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Tungsten 2024年第2期6卷 438-446页

作者： ming-Xin Shi min wu Shan-Shan Xiao Shan-Ping Liu Rui-Qi Yao Ying-Qi Li Yong-Hui Wang Yang-Guang Li Hua-Qiao Tan Key Laboratory of Polyoxometalate and Reticular Material Chemistry of ministry of Education Faculty of ChemistryNortheast Normal UniversityChangchun 130024China School of Materials Science and Engineering Jilin Jianzhu UniversityChangchun 130118China Institute Charles Gerhardt Montpellier Universite de MontpellierCentre National de la Recherche Scientifi quePlace E.Bataillon34095 Montpellier Cedex 05France

Although crystalline anode materials with long-range ordered lattice structure are in favor of facilitating the electron transfer,their structures are easily disrupted during long-term cycling due to the continuous embedding/de-embedding of lithium ions.In contrast,the amorphous materials have abundant defects and lithium ion storage sites,refl ecting a superior reaction kinetics and long-term cycling stability.Here,we synthesize an integrated hybrid anode by in-situ loading amorphous NiMo_(3)S_(13)nanosheets on nickel foam substrate.Benefi ting from the introduction of Ni^(2+)that amorphizes the molybdenumsulfur clusters,the assembled lithium ion battery based on the integrated NiMo_(3)S_(13)/nickel foam anode delivers a specifi c capacity up to 1659 mA·h·g^(−1)at a current density of 0.6 A·g^(−1)and exhibits superior rate/cycling performance.

关键词： Molybdenum-sulfur clusters Amorphous Integrated anode Crystalline Lithium-ion batteries

Integrated proteomic profiling identifies amino acids selectively cytotoxic to pancreatic cancer cells

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The Innovation 2024年第3期5卷 138-145页

作者： Alfred Akinlalu Zachariah Flaten Komila Rasuleva Md Saimon Mia Aaron Bauer Santhalingam Elamurugan Nega Ejjigu Sudipa Maity Amara Arshad min wu Wenjie Xia Jia Fan Ang Guo Sijo Mathew Dali Sun Department of Electrical and Computer Engineering University of Denver2155 E Wesley AvenueDenverCO 80210USA Biomedical Engineering Program North Dakota State University1401 Centennial BoulevardEngineering AdministrationRoom 203FargoND 58102USA Department of Pharmaceutical Sciences School of PharmacyNorth Dakota State University1001 S.1401 Albrecht Boulevard Sudro HallFargoND 58102USA Materials and Nanotechnology Program North Dakota State University1410 North 14th AvenueCIE 201FargoND 58102USA Wenzhou Institute University of Chinese Academy of SciencesWenzhouZhejiang 325000China Department of Aerospace Engineering Iowa State UniversityAmesIA 50011USA Center for Cellular and Molecular Diagnostics Tulane University School of Medicine1430 Tulane AvenueNew OrleansLA 70112USA Department of Biochemistry and Molecular Biology Tulane University School of Medicine1430 Tulane AvenueNew OrleansLA 70112USA Knoebel Institute for Healthy Aging University of Denver2155 E Wesley AvenueDenverCO 80210USA

Pancreatic adenocarcinoma(PDAC)is one of the most deadly cancers,characterized by extremely limited therapeutic options and a poor prognosis,as it is often diagnosed during late disease stages.Innovative and selective treatments are urgently needed,since current therapies have limited efficacy and significant side effects.Through proteomics analysis of extracellular vesicles,we discovered an imbalanced distribution of amino acids secreted by PDAC tumor cells.Our findings revealed that PDAC cells preferentially excrete proteins with certain preferential amino acids,including isoleucine and histidine,via extracellular vesicles.These amino acids are associated with disease progression and can be targeted to elicit selective toxicity to PDAC tumor cells.Both in vitro and in vivo experiments demonstrated that supplementation with these specific amino acids effectively eradicated PDAC cells.Mechanistically,we also identified XRN1 as a potential target for these amino acids.The high selectivity of this treatment method allows for specific targeting of tumor metabolism with very low toxicity to normal tissues.Furthermore,we found this treatment approach is easy-to-administer and with sustained tumor-killing effects.Together,our findings reveal that exocytosed amino acids may serve as therapeutic targets for designing treatments of intractable PDAC and potentially offer alternative treatments for other types of cancers.

关键词： finding identif selectivity

Identification of TMEM217 as a novel prognostic biomarker and potential therapeutic target in acute myeloid leukemia

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Genes & Diseases 2024年第4期11卷 90-93页

作者： Yunying Yao Zhizhou Xi min wu Bo Jiao Jiaming Gao Donghe Li Xi Xie Pengfei Xu Jiaoyang Li Lei Yan Ruibao Ren Ping Liu Shanghai Institute of Hematology State Key Laboratory for Medical GenomicsNational Research Center for Translational MedicineCollaborative Innovation Center of HematologyRuijin Hospital affiliated with Shanghai Jiao Tong University School of MedicineShanghai 200025China International Center for Aging and Cancer Hainan Medical UniversityHaikouHainan 570102China

Despite remarkable advances in molecular and cell biology of acute myeloid leukemia(AML),AML patients still frequently relapse and have low 5-year overall survival(OS)rates.1 It is worth noting that a recent study from the registry or clinical trial compilation has reported an improvement in the OS of adult AML patients,especially those under 60 years of age.

关键词： acute myeloid leukemia

Clovibactin:一种对病原体展现致死效应且低耐药性的革命性抗生素

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Science Bulletin 2024年第5期69卷 570-573页

作者：李翔吴敏帅建伟 Department of Physics and Fujian Provincial Key Lab for Soft Functional Materials ResearchXiamen UniversityXiamen 361005China Joint Research Centre on Medicine The Affiliated Xiangshan Hospital of Wenzhou Medical UniversityNingbo 315700China Wenzhou Institute University of Chinese Academy of SciencesWenzhou 325000China Oujiang Laboratory(Zhejiang Lab for Regenerative Medicine Vision and Brain Health)Wenzhou 325001China

The decades spanning from the 1940s to the 1960s are renowned as the heyday of antibiotic discovery.It was during this era that game-changing antibiotics such as streptomycin,vancomycin,and tetracycline were unearthed,fundamentally reshaping the landscape of modern medicine.However,antibiotic discovery faces alarming challenges and traditional screening has not yielded new drugs in many decades.The crisis of antimicrobial resistance(AMR)emerges as a consequence of the unintended disruption of the antibiotic discovery pipeline and the subsequent uncontrolled proliferation of resistant pathogens[1].According to the World Health Organization(WHO),in 2019,approximately1.2 million people worldwide died of bacterial infections exacerbated by AMR,surpassing the number of deaths caused by HIV/AIDS.If this trend continues,by 2050,AMR could potentially result in over 10 million deaths,surpassing the mortality rate attributed to cancer.Thus,we are in dire need of new antibiotics to counter the rising resistance of bacteria to most currently employed clinical antibiotics.

关键词： passing landscape attributed

Mathematical representation of 2D image boundary contour using fractional implicit polynomial

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Optoelectronics Letters 2023年第4期19卷 252-256页

作者： TONG Yuerong YU Lina LI Weijun LIU Jingyi wu min YANG Yafei Institute of Semiconductors Chinese Academy of SciencesBeijing 100083China School of Materials Science and Optoelectronic Technology&School of Integrated Circuits University of Chinese Academy of SciencesBeijing 100049China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing 100083China DapuStor Corporation Shenzhen 518100China

Implicit polynomial(IP)fitting is an effective method to quickly represent two-dimensional(2D)image boundary contour in the form of mathematical function.Under the same maximum degree,the fractional implicit polynomial(FIP)can express more curve details than IP and has obvious advantages for the representation of complex boundary contours.In existing studies,algebraic distance is mainly used as the fitting objective of the polynomial.Although the time cost is reduced,there are problems of low fitting accuracy and spurious zero set.In this paper,we propose a two-stage neural network with differentiable geometric distance,which uses FIP to achieve mathematical representation,called TSEncoder.In the first stage,the continuity constraint is used to obtain a rough outline of the fitting target.In the second stage,differentiable geometric distance is gradually added to fine-tune the polynomial coefficients to obtain a contour representation with higher accuracy.Experimental results show that TSEncoder can achieve mathematical representation of 2D image boundary contour with high accuracy.

关键词： polynomial contour representation