4.7 Article

CXCL3 contributes to CD133+ CSCs maintenance and forms a positive feedback regulation loop with CD133 in HCC via Erk1/2 phosphorylation

期刊

SCIENTIFIC REPORTS
卷 6, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/srep27426

关键词

-

资金

  1. National Key Program for Basic Research of China (973) [2015CB553905]
  2. National Natural Science Foundation of China [81301859, 81272438, 81472726]
  3. Key Discipline and Specialty Foundation of Shanghai Municipal Commission of Health and Family Planning
  4. National Key Sci-Tech Special Project of China [2013ZX10002-011]
  5. SKLORG Research foundation [91-13-02, 91-14-09, 91-15-03]

向作者/读者索取更多资源

Although the chemotactic cytokine CXCL3 is thought to play an important role in tumor initiation and invasion, little is known about its function in hepatocellular carcinoma (HCC). In our previous study, we found that Ikaros inhibited CD133 expression via the MAPK pathway in HCC. Here, we showed that Ikaros may indirectly down-regulate CXCL3 expression in HCC cells, which leads to better outcomes in patients with CD133(+) cancer stem cell (CSC) populations. CD133 overexpression induced CXCL3 expression, and silencing of CD133 down-regulated CXCL3 in HCC cells. Knockdown of CXCL3 inhibited CD133(+) HCC CSCs' self-renewal and tumorigenesis. The serum CXCL3 level was higher in HCC patients' samples than that in healthy individual. HCC patients with higher CXCL3 expression displayed a poor prognosis, and a high level of CXCL3 was significantly associated with vascular invasion and tumor capsule formation. Exogenous CXCL3 induced Erk1/2 and ETS1 phosphorylation and promoted CD133 expression, indicating a positive feedback loop between CXCL3 and CD133 gene expression in HCC cells via Erk1/2 activation. Together, our findings indicated that CXCL3 might be a potent therapeutic target for HCC.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Automation & Control Systems

Distributed Nonrecursive Averaging Filters for Quantized Consensus: An Edge Sensitivity Design Approach

Lina Rong, Guo-Ping Jiang, Shengyuan Xu

Summary: This article focuses on the design of distributed nonrecursive averaging filters for the quantized consensus problem of discrete-time first-order multiagent systems over undirected and connected networks. The quantized consensus problem is transformed into a robust consensus problem with sector bound uncertainties associated with communication graphs. Necessary and sufficient conditions for filter parameter preservation of robust consensus with sector bound uncertainties are provided. The optimal filter parameter design is achieved through constrained optimization, ensuring robust consensus with maximal sector bound parameter.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)

Article Automation & Control Systems

A novel sliding mode fault-tolerant control strategy for variable-mass quadrotor

Jing Zhao, Xiaoqian Ding, Bin Jiang, Guoping Jiang, Fei Xie

Summary: This article investigates a fault-tolerant control method for quadrotors with variable mass and actuator faults. A mathematical model is established and an adaptive estimation algorithm is designed to estimate the variable mass and actuator fault. Control strategies are then developed based on these estimations to achieve trajectory tracking and attitude control.

INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL (2023)

Article Automation & Control Systems

An edge-based augmented system approach for second-order nodal consensus

Lina Rong, Peng Su, Guo-Ping Jiang, Shengyuan Xu

Summary: In this paper, an edge-based augmented system approach is proposed for second-order nodal consensus, utilizing the edge loop transfer matrix of the closed-loop multi-agent system. This approach introduces additional poles and zeros into edges to construct a channel filter with previous data stored in the memories. The effectiveness of the proposed method is verified through illustrative simulations.

AUTOMATICA (2023)

Article Engineering, Electrical & Electronic

Edge-Preserving Consensus via Non-Recursive Filters: A Parallel System Design

Lina Rong, Yuhan Kan, Xiangpeng Xie, Guo-Ping Jiang, Shengyuan Xu

Summary: This study focuses on the problem of edge-preserving consensus in discrete-time multi-agent systems. A method for designing channel filters, consisting of nominal elements and masking elements, is proposed using an edge-based parallel system design approach. Design criteria for edge-preserving protocols are provided based on the edge sensitivity matrix of the multi-agent system being studied. It is demonstrated that the design of masking elements is based on a single parameter of the nominal element and the H-infinity norm of a collapsed system. An algorithm for designing heterogeneous channel filters is also presented, using a cascade realization of several subsystems.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2023)

Article Engineering, Electrical & Electronic

Fixed-Time Algorithms for Time-Varying Convex Optimization

Huifen Hong, Wenwu Yu, Guo-Ping Jiang, He Wang

Summary: In this paper, a novel type of fixed-time algorithms is investigated to solve time-varying convex optimization problems with time-dependent cost function, constraints or both. First, a general framework algorithm is developed for the unconstrained time-varying optimization problem to track its optimal trajectory within fixed time, which includes the gradient flow-based scheme and Newton-type method as special cases. Then, another algorithm with fixed-time convergence is designed for time-varying optimization problems involving equality constraint, including Newton-type scheme as a special case. The simulation result using first-order Euler discretization is provided to verify the fixed-time convergence achieved by the proposed approach.

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS (2023)

Article Automation & Control Systems

Detecting faulty edges of complex dynamical networks based on compressive sensing

Yayong Wu, Xinwei Wang, Guo-Ping Jiang, Mengqi Gu

Summary: In this paper, a completely data-driven method based on compressive sensing is proposed to detect the structure of faulty edges in complex dynamical networks. The method can directly obtain the structure of faulty edges from limited measurements and is more efficient in data processing.

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2023)

Article Physics, Multidisciplinary

Reactive-diffusion epidemic model on human mobility networks: Analysis and applications to COVID-19 in China

Ruqi Li, Yurong Song, Haiyan Wang, Guo-Ping Jiang, Min Xiao

Summary: This study develops a reactive-diffusion epidemic model on human mobility networks to characterize the spatio-temporal propagation of COVID-19 in China. A novel time-dependent function is incorporated to describe the effects of human intervention. The results indicate that human intervention significantly inhibits the correlation between population mobility and infection cases, and spatial diffusion phenomenon of cases from high infection density cities to low infection density cities is revealed.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2023)

Article Automation & Control Systems

Design and Dynamics Analysis of a Time-Delay Feedback Controller With Distributed Characteristic

Binbin Tao, Min Xiao, Wei Xing Zheng, Ying Zhou, Jie Ding, Guoping Jiang, Xiaoqun Wu

Summary: This article proposes a time-delay feedback control strategy with distributed characteristics to address the flaws in existing control strategies. The designed controller ensures the invariance of equilibriums and continuity of stability intervals, effectively improving the bifurcation threshold of the controlled object.

IEEE TRANSACTIONS ON AUTOMATIC CONTROL (2023)

Article Automation & Control Systems

Model-Based Reinforcement Learning Control of Electrohydraulic Position Servo Systems

Zhikai Yao, Xianglong Liang, Guo-Ping Jiang, Jianyong Yao

Summary: This article introduces a new model-based reinforcement learning controller to improve the control performance of hydraulic systems. By using a recursive robust integral control approach and an actor-critic structure in the reinforcement learning approach, the proposed controller is able to achieve high-accuracy tracking and asymptotic stability guarantees at the system level.

IEEE-ASME TRANSACTIONS ON MECHATRONICS (2023)

Article Mathematics, Interdisciplinary Applications

A Novel Coupled Code Shifted M-ary Differential Chaos Shift Keying Modulation

Y. Wang, H. Yang, X. Y. Yan, G. P. Jiang

Summary: In this paper, a novel coupled code shifted M-ary differential chaos shift keying modulation scheme is proposed for reference removal. The scheme transmits only two information-bearing signals, modulated by selected Walsh code sequences and coupled by the same chaotic message bearer. Theoretical BER expressions are derived and simulations show better performance with lower complexity.

INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS (2023)

Article Green & Sustainable Science & Technology

Surface engineering: Phosphorus doped Co3(PO4)2 generates P(6-)-Co bonds for photocatalytic hydrogen evolution

Chaoyue Zheng, Guoping Jiang, Zhiliang Jin

Summary: This paper studies the doping of phosphorus elements in Co3(PO4)2 during the high-temperature phosphorylation reaction. UV-Vis experiments show that the color of the phosphorylation catalyst changes from pink to black-purple, with significantly increased light absorption range and intensity. SEM images reveal the growth of many nanoparticles on the catalyst surface. XPS experiments demonstrate the growth of a stable P (6- )-Co bond on the catalyst surface. The P (6- )-Co bond can inhibit the complexation of photogenerated electron and hole pairs and enhance the transport efficiency of photogenerated electrons, thus improving the hydrogen production performance. Phosphorus-doped Co3(PO4)2 releases three times more hydrogen than CO3(PO4)2. This paper provides a novel design solution for the photocatalyst preparation method.

JOURNAL OF CLEANER PRODUCTION (2023)

Article Engineering, Geological

Slip-Line Solution for the Active Earth Pressure of Narrow and Layered Backfills against Inverted T-Type Retaining Walls Rotating about the Base

Yan Wang, Hao-biao Chen, Guo-ping Jiang, Fu-quan Chen

Summary: In this research, a slip-line method and adaptive finite-element software were used to investigate the active earth pressure of narrow and layered backfills against inverted T-type retaining walls rotating around the base mode. Slip-line field calculation models were established for the inverted T-type retaining wall with narrow and layered backfills, considering the effect of the heel bottom plate and the wall characteristics. The proposed method was verified by comparing its results with those from finite-element limit analysis and existing theoretical solutions, and parametric studies were conducted to study the effects of backfill width, heel length, and interface strength.

INTERNATIONAL JOURNAL OF GEOMECHANICS (2023)

Article Mathematics

Observability of Discrete-Time Two-Time-Scale Multi-Agent Systems with Heterogeneous Features under Leader-Based Architecture

Mengqi Gu, Guo-Ping Jiang

Summary: This paper investigates the observability of discrete-time two-time-scale multi-agent systems with heterogeneous features under leader-follower architecture. It establishes a singular perturbation difference model for the discussed system based on consensus agreement. To eliminate the numerical ill-posed problem, the order of the system model is reduced using the boundary layer theory of the singular perturbation system. Based on matrix theory, algebraic and graphical features that guarantee system observability are obtained. The theoretical results are verified by a numerical example.

MATHEMATICS (2023)

Article Biochemistry & Molecular Biology

Drug Repurposing Flubendazole to Suppress Tumorigenicity via PCSK9-dependent Inhibition and Potentiate Lenvatinib Therapy for Hepatocellular Carcinoma

Wenjiao Jin, Junming Yu, Yang Su, Hechun Lin, Tengfei Liu, Jing Chen, Chao Ge, Fangyu Zhao, Qin Geng, Lin Mao, Shuqing Jiang, Ying Cui, Taoyang Chen, Guoping Jiang, Jinjun Li, Chunxiao Miao, Xiuying Xiao, Hong Li

Summary: Hepatocellular carcinoma (HCC) is a highly lethal cancer, lacking effective therapies especially for advanced-stage patients. By screening the US FDA drug library, flubendazole, a traditional anthelmintic drug, was identified to significantly suppress HCC cells in vivo and in vitro. Flubendazole reduced PCSK9 expression by directly targeting it, which was found to be increased in HCC tissues and correlated with poor prognosis. The inhibitory effect of flubendazole on HCC relied on PCSK9 expression and was mediated via the Hedgehog signaling pathway. Combining flubendazole with lenvatinib exhibited enhanced efficacy for HCC treatment.

INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES (2023)

Proceedings Paper Automation & Control Systems

Dynamic Spatio-temporal traffic flow prediction based on multi fusion graph attention network

Manru Cheng, Guo-Ping Jiang, Yurong Song, Chen Yang

Summary: This paper proposes a multi fusion graph network dynamic spatiotemporal traffic flow prediction model based on graph attention, which comprehensively considers various road structure information to construct a traffic graph network and captures the dynamic transformation of traffic flow data through graph attention, thereby improving the accuracy of traffic flow prediction.

2022 41ST CHINESE CONTROL CONFERENCE (CCC) (2022)

暂无数据