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FSD1 inhibits glioblastoma diffuse infiltration through restriction of HDAC6-mediated microtubule deacetylation

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Science China Life Sciences 2025年

作者： Dake Xiao Haowen Ran Lishu Chen Yuanyuan Li yan cai Songyang Zhang Qinghui Qi Huiran Wu Cheng Zhang Shuailiang Cao Lanjuan Mi Haohao Huang Ji Qi Qiuying Han Haiqing Tu Huiyan Li Tao Zhou Fangye Li Ailing Li Jianghong Man Nanhu Laboratory National Center of Biomedical Analysis School of Traditional Chinese Medicine Capital Medical University Department of Neurosurgery General Hospital of Central Theater Command of Chinese PLA School of Life and Health Sciences Huzhou College Department of Neurosurgery Beijing Fengtai Hospital Department of Neurosurgery First Medical Center of PLA General Hospital

The infiltration of glioblastoma multiforme(GBM) is predominantly characterized by diffuse spread, contributing significantly to therapy resistance and recurrence of GBM. In this study, we reveal that microtubule deacetylation, mediated through the downregulation of fibronectin type III and SPRY domain-containing 1(FSD1), plays a pivotal role in promoting GBM diffuse infiltration. FSD1 directly interacts with histone deacetylase 6(HDAC6) at its second catalytic domain, thereby impeding its deacetylase activity on α-tubulin and preventing microtubule deacetylation and depolymerization. This inhibitory interaction is disrupted upon phosphorylation of FSD1 at its Ser317 and Ser324 residues by activated CDK5, leading to FSD1 dissociation from microtubules and facilitating HDAC6-mediated α-tubulin deacetylation. Furthermore, increased expression of FSD1 or interference with FSD1 phosphorylation reduces microtubule deacetylation, suppresses invasion of GBM stem cells, and ultimately mitigates tumor infiltration in orthotopic GBM xenografts. Importantly, GBM tissues exhibit diminished levels of FSD1 expression, correlating with microtubule deacetylation and unfavorable clinical outcomes in GBM patients. These findings elucidate the mechanistic involvement of microtubule deacetylation in driving GBM cell invasion and offer potential avenues for managing GBM infiltration.

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A multi-objective multi-memetic algorithm for network-wide conflict-free 4D flight trajectories planning

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Chinese Journal of Aeronautics 2017年第3期30卷 1161-1173页

作者： Su yan Kaiquan cai School of Electronics and Information Engineering Beihang University Beijing 100191 China Beijing Key Laboratory of Network Enabled Collaborative ATM Beijing 100191 China

Under the demand of strategic air traffic flow management and the concept of trajectory based operations（TBO）,the network-wide 4D flight trajectories planning（N4DFTP） problem has been investigated with the purpose of safely and efficiently allocating 4D trajectories（4DTs）（3D position and time） for all the flights in the whole airway *** that the introduction of large-scale 4DTs inevitably increases the problem complexity,an efficient model for strategiclevel conflict management is developed in this ***,a bi-objective N4 DFTP problem that aims to minimize both potential conflicts and the trajectory cost is *** consideration of the large-scale,high-complexity,and multi-objective characteristics of the N4DFTP problem,a multi-objective multi-memetic algorithm（MOMMA） that incorporates an evolutionary global search framework together with three problem-specific local search operators is *** is capable of rapidly and effectively allocating 4DTs via rerouting,target time controlling,and flight level ***,to balance the ability of exploitation and exploration of the algorithm,a special hybridization scheme is adopted for the integration of local and global *** studies using real air traffic data in China with different network complexities show that the proposed MOMMA is effective to solve the N4 DFTP *** solutions achieved are competitive for elaborate decision support under a TBO environment.

关键词： Air traffic flow management 4D trajectory planning Multi-memetic algorithm Multi-objective optimization Network-wide strategic conflict management

Empirical investigation of stochastic local search for maximum satisfiability

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Frontiers of Computer Science 2019年第1期13卷 86-98页

作者： Yi CHU chuan LUO Shaowei cai Haihang YOU State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Beijing 100190China University of Chinese Academy of Sciences Beijing 100049China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214125China State Key Laboratory of Computer Science Institute of SoftwareChinese Academy of SciencesBeijing 100190China

The maximum satisfiability (MAX-SAT)problem is an important NP-hard problem in theory,and has a broad range of applications in *** local search (SLS)is becoming an increasingly popular method for solving ***,a powerful SLS algorithm called CCLS shows efficiency on solving random and crafted MAX-SAT ***,the performance of CCLS on solving industrial MAX-SAT instances lags far *** this paper,we focus on experimentally analyzing the performance of SLS algorithms for solving industrial MAXSAT ***,we conduct experiments to analyze why CCLS performs poor on industrial *** we propose a new strategy called additive BMS (Best from Multiple Selections)to ease the serious *** integrating CCLS and additive BMS,we develop a new SLS algorithm for MAXSAT called CCABMS,and related experiments indicate the efficiency of ***,we experimentally analyze the effectiveness of initialization methods on SLS algorithms for MAX-SAT,and combine an effective initialization method with CCABMS,resulting in an enhanced *** results show that our enhanced algorithm performs better than its state-of-the-art SLS competitors on a large number of industrial MAX-SAT instances.

关键词： empirical investigation stochastic local search maximum satisfiability industrial instances additive BMS

A Preconditioned Recycling GMRES Solver for Stochastic Helmholtz Problems

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Communications in Computational Physics 2009年第7期6卷 342-353页

作者： Chao Jin Xiao-chuan cai Cadence Design Systems 555 River Oaks ParkwaySan JoseCA 95134USA Department of Computer Science University of Colorado at BoulderBoulderCO 80309USA

We present a parallel Schwarz type domain decomposition preconditioned recycling Krylov subspace method for the numerical solution of stochastic indefinite elliptic equations with two random ***-Loeve expansions are used to represent the stochastic variables and the stochastic Galerkin method with double orthogonal polynomials is used to derive a sequence of uncoupled deterministic *** show numerically that the Schwarz preconditioned recycling GMRES method is an effective technique for solving the entire family of linear systems and,in particular,the use of recycled Krylov subspaces is the key element of this successful approach.

关键词： Recycling GMRES domain decomposition additive Schwarz preconditioner stochastic Helmholtz equation

A Parallel Domain Decomposition Algorithm for Simulating Blood Flow with Incompressible Navier-Stokes Equations with Resistive Boundary Condition

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Communications in Computational Physics 2012年第4期11卷 1279-1299页

作者： Yuqi Wu Xiao-chuan cai Department of Applied Mathematics University of Colorado at BoulderBoulderCO 80309USA Department of Computer Science University of Colorado at BoulderBoulderCO 80309USA

We introduce and study a parallel domain decomposition algorithm for the simulation of blood flow in compliant arteries using a fully-coupled system of nonlinear partial differential equations consisting of a linear elasticity equation and the incompressible Navier-Stokes equations with a resistive outflow boundary *** system is discretized with a finite element method on unstructured moving meshes and solved by a Newton-Krylov algorithm preconditioned with an overlapping restricted additive Schwarz *** resistive outflow boundary condition plays an interesting role in the accuracy of the blood flow simulation and we provide a numerical comparison of its accuracy with the standard pressure type boundary *** also discuss the parallel performance of the implicit domain decomposition method for solving the fully coupled nonlinear system on a supercomputer with a few hundred processors.

关键词： Fluid-structure interaction blood flow mesh movement resistive boundary condition additive Schwarz domain decomposition parallel computing

A review of thickness-induced evolutions of microstructure and superconducting performance of REBa2Cu3O7-δ coated conductor

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Advances in Manufacturing 2017年第2期5卷 165-176页

作者： Jian-Xin Lin Xu-Ming Liu chuan-Wei Cui chuan-Yi Bai Yu-Ming Lu Feng Fan yan-Qun Guo Zhi-Yong Liu chuan-Bing cai Shanghai Key Laboratory of High Temperature Superconductors Shanghai University Shanghai 200444People's Republic of China

The research and development of high temperature superconducting （HTS） films, especially ReBa2Cu3- O7-δ （REBCO or RE123; RE=Y, Gd, or other rare earths） yttrium-based coated conductors, has generated widespread interest for the potential applications of the second generation superconducting films. In view of commercialization, however, the maximum superconducting currents for coated conductors should be increased further. Unfortunately, it has been frequently observed that the average critical current density Jc decreases with an increase in film thickness. The thickness effect is still a hurdle for largescale production, especially in pulsed laser deposition and metal organic deposition processes. An engineering current of more than 1 000 A/cm is desired owing to the high cost of 2G superconducting materials. The present work attempts to review the evolution of various issues subject to the thickness effect, including the microstructure, epitaxial texture, surface roughness, pinning force, oxygen deficiency, residual stress, copper-rich layers, and segregation of elements. Furthermore, recent progress in enhancing the performance of superconductors especially in terms of critical current density is illustrated, such as the use of heavy doping. Further understanding of the thickness effect is extremely important for large-scale commercial development of the second generation high temperature superconductors.

关键词： Thickness effect Superconducting film Critical current density Microstructure Epitaxial texture Pinning force

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基于深度学习的高效率烤烟等级识别模型研究

西南大学学报（自然科学版） 2025年第1期47卷 213-225页

作者：冯川祝诗平黄华严森垚于丽敏西南大学工程技术学院重庆400715 山东农业工程学院信息科学与工程学院济南250110

烤烟的等级识别是烟草产业的一个关键环节,为了降低烟农烤烟分级劳动强度,减少主观因素,提高识别精度,需要实现烤烟的自动分级。研究了深度学习中多种卷积神经网络的多层特征提取方法,并基于ShuffleNetV2网络提出一种改进的网络模型(Shu... 详细信息

烤烟的等级识别是烟草产业的一个关键环节,为了降低烟农烤烟分级劳动强度,减少主观因素,提高识别精度,需要实现烤烟的自动分级。研究了深度学习中多种卷积神经网络的多层特征提取方法,并基于ShuffleNetV2网络提出一种改进的网络模型(ShuffleNetV2_FTC)。ShuffleNetV2_FTC网络是将ShuffleNetV2网络的主干单元进行更改,并引入CBAM(Convolutional Block Attention Module)注意力机制和SiLU激活函数。应用该模型对27种类别的烤烟图像进行识别分类。该模型的最佳测试准确率为93.09%,检测帧率达到每秒15.3张。相对原模型获得了0.24%(0.5×)、6.06%(1×)和4.73%(1.5×)的准确率提升,每秒检测12.3张图片到15.3张图片的检测帧率提升。ShuffleNetV2_FTC网络结合机器视觉技术可以很好地识别烤烟等级,为优化烤烟的收购、烘干和加工等流程奠定基础。

关键词：烤烟等级图像处理机器视觉深度学习 ShuffleNetV2网络

Trans-arterial gene therapy for hepatocellular carcinoma in a rabbit model

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World Journal of Gastroenterology 2007年第14期13卷 2113-2117页

作者： Tao Gu cai-Xia Li yan Feng Qian Wang Chun-Hai Li chuan-Fu Li Department of Radiology Qilu Hospital of Shandong University Jinan 250012 Shandong Province China

AIM： To study the effect of adenovirus （Ad）-p53 gene therapy on hepatocellular carcinoma （HCC） in a rabbit model.METHODS： VX2 tumor was grown in the liver of 24rabbits. Animals were divided into four groups： group A receiving trans-arterial gene therapy （Ad-p53） only,group B receiving combined Ad-p53 therapy and transarterial embolization （lipiodol）, group C receiving transarterial chemoembolization （lipiodol ＋ mitomycin C）,control group （D） receiving sodium chloride. Tumor volume （V1） was measured by using MRI （d 13）.Interventional procedure was applied （d 14）.Tumor volume （V2） was assessed by MRT （d 21） and the mean ratio （V2/V1） was calculated. After the second MRI,specimens of the liver were abstained and examined immunohistochemically using mutant-type p53 *** positive expression was scored.RESULTS： Compared with control group （（^-x） = 3.14± 0.64）, therapeutic groups all showed a significant decrease in the tumor growth ratio （P 〈 0.05）. A slight difference was found between group A （（^-x） =2.35 ±0.59） and group B （（^-x） = 1.75 ± 0.28）（P = 0.048）. Nostatistically significant difference was observed between group B and group C （（^-x） = 2.00 ± 0.44）. The positive expression rate of mutant-type p53 was the lowest in group B and significantly different between group A and group C （P 〈 0.05）.Compared to the control subjects, groups A and C both showed a decrease in the expression of mutant-type p53, but there was no significant difference between them.CONCLUSION： Trans-arterial Ad-p53 gene therapy can reduce tumor growth of HCC in rabbit model.

关键词： Liver hepatocellular carcinoma Trans-arterial chemoembolization Gene therapy

Dimensionless study on outlet flow characteristics of an air-driven booster

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2012年第6期13卷 481-490页

作者： yan SHI Mao-lin cai School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China

Air-driven boosters are widely used to obtain high-pressure gas. Through analysis of the boosting process of an air-driven booster, the basic mathematical model of working processes can be set up. By selecting the appropriate reference values, the basic mathematical model is transformed to a dimensionless expression. Using MATLAB/Simulink for simulation and studying the booster experimentally, the dimensionless outlet flow characteristics of the booster were obtained and the simulation results agree well with the experimental results. Through analysis, it can be seen that the dimensionless outlet flow of the booster is mainly determined by the dimensionless input pressure of the driving chamber, the dimensionless outlet condition pressure of the booster and the dimensionless area of the piston in the driving chamber. The dimensionless average outlet flow becomes larger with an increasing dimensionless input pressure of the driving chamber, but it becomes smaller with an increase in the dimen- sionless outlet condition pressure of the booster. Especially when the dimensionless outlet condition pressure is approximately 1.4, the dimensionless average outlet flow reaches zero. With an increase in the dimensionless area of the piston in the driving chamber, the dimensionless average outlet flow increases and peaks at approximately 1.89, and after this peak, it starts to decrease. This research can be referred to in the design of air-driven boosters.

关键词： Air-driven booster Outlet flow Pneumatic system Compressed air