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  • Open Access

    ARTICLE

    Combinational therapy with Myc decoy oligodeoxynucleotides encapsulated in nanocarrier and X-irradiation on breast cancer cells

    BEHROOZ JOHARI1,2,#,*, MILAD PARVINZAD LEILAN1,#, MAHMOUD GHARBAVI3, YOUSEF MORTAZAVI1, ALI SHARAFI2, HAMED REZAEEJAM4

    Oncology Research, Vol.32, No.2, pp. 309-323, 2024, DOI:10.32604/or.2023.043576

    Abstract The Myc gene is the essential oncogene in triple-negative breast cancer (TNBC). This study investigates the synergistic effects of combining Myc decoy oligodeoxynucleotides-encapsulated niosomes-selenium hybrid nanocarriers with X-irradiation exposure on the MDA-MB-468 cell line. Decoy and scramble ODNs for Myc transcription factor were designed and synthesized based on promoter sequences of the Bcl2 gene. The nanocarriers were synthesized by loading Myc ODNs and selenium into chitosan (Chi-Se-DEC), which was then encapsulated in niosome-nanocarriers (NISM@Chi-Se-DEC). FT-IR, DLS, FESEM, and hemolysis tests were applied to confirm its characterization and physicochemical properties. Moreover, cellular uptake, cellular toxicity, apoptosis, cell cycle, and scratch repair… More > Graphic Abstract

    Combinational therapy with Myc decoy oligodeoxynucleotides encapsulated in nanocarrier and X-irradiation on breast cancer cells

  • Open Access

    ARTICLE

    Targeted anti-tumor synergistic effects of Myc decoy oligodeoxynucleotides-loaded selenium nanostructure combined with chemoradiotherapy on LNCaP prostate cancer cells

    ROGHAYEH GHORBANI1, MAHMOUD GHARBAVI2, ALI SHARAFI3,4, ELHAM RISMANI5, HAMED REZAEEJAM6, YOUSEF MORTAZAVI1,*, BEHROOZ JOHARI3,*

    Oncology Research, Vol.32, No.1, pp. 101-125, 2024, DOI:10.32604/or.2023.044741

    Abstract In the present study, we investigated the synergistic effects of targeted methotrexate-selenium nanostructure containing Myc decoy oligodeoxynucleotides along with X-irradiation exposure as a combination therapy on LNCaP prostate cancer cells. Myc decoy ODNs were designed based on the promoter of Bcl-2 gene and analyzed by molecular docking and molecular dynamics assays. ODNs were loaded on the synthesized Se@BSA@Chi-MTX nanostructure. The physicochemical characteristics of nanostructures were determined by FTIR, DLS, UV-vis, TEM, EDX, in vitro release, and hemolysis tests. Subsequently, the cytotoxicity properties of them with and without X-irradiation were investigated by uptake, MTT, cell cycle, apoptosis, and scratch assays on… More > Graphic Abstract

    Targeted anti-tumor synergistic effects of Myc decoy oligodeoxynucleotides-loaded selenium nanostructure combined with chemoradiotherapy on LNCaP prostate cancer cells

  • Open Access

    PROCEEDINGS

    Ultrafast Adsorption of Tiny Oil Droplets Within Water by Superhydrophobic-Superoleophilic Conical Micro-arrays

    Yunyun Song1, Xu Zhang1, Jialei Yang1, Zhongqiang Zhang1,*, Guanggui Cheng1

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.2, pp. 1-1, 2023, DOI:10.32604/icces.2023.09916

    Abstract Although floating oil with large particle sizes can easily be separated from water by membrane separation methods, tiny oil droplets with tremendously small volume force and density gradient at oil-water interfaces within water lead to barriers of oil-water separation. Consequently, tiny oil droplets remain in the water, resulting in energy waste, environmental pollution and biological health hazard. Traditional super-wetting membranes with extremely small pore sizes were easily blocked during the oil-water separation process. Inspired by the cactus and rice leaf, we developed a superhydrophobic-superoleophilic surface with conical micro-arrays to realize ultrafast adsorption of tiny oil droplets within the water. The… More >

  • Open Access

    ARTICLE

    Targeting LncRNA LLNLR-299G3.1 with antisense oligonucleotide inhibits malignancy of esophageal squamous cell carcinoma cells in vitro and in vivo

    LI TIAN1,#, YONGYI HUANG1,#, BAOZHEN ZHANG2,#, YI SONG1,#, LIN YANG3, QIANQIAN CHEN1, ZHENG WANG3, YILING WANG1, QIHAN HE1, WENHAN YANG1, SHUYONG YU4, TIANYU LU5, ZICHEN LIU1, KAIPING GAO1,*, XIUJUN FAN2,*, JIAN SONG4,*, RIHONG ZHAI1,*

    Oncology Research, Vol.31, No.4, pp. 463-479, 2023, DOI:10.32604/or.2023.028791

    Abstract Accumulating evidence has indicated that long non-coding RNAs (lncRNAs) play critical roles in the development and progression of cancers, including esophageal squamous cell carcinoma (ESCC). However, the mechanisms of lncRNAs in ESCC are still incompletely understood and therapeutic attempts for in vivo targeting cancer-associated lncRNA remain a challenge. By RNA-sequencing analysis, we identified that LLNLR-299G3.1 was a novel ESCC-associated lncRNA. LLNLR-299G3.1 was up-regulated in ESCC tissues and cells and promoted ESCC cell proliferation and invasion. Silencing of LLNLR-299G3.1 with ASO (antisense oligonucleotide) resulted in opposite effects. Mechanistically, LLNLR-299G3.1 bound to cancer-associated RNA binding proteins and regulated the expression of cancer-related… More >

  • Open Access

    ARTICLE

    Hybrid Chameleon and Honey Badger Optimization Algorithm for QoS-Based Cloud Service Composition Problem

    G. Manimala*, A. Chinnasamy

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 393-412, 2023, DOI:10.32604/csse.2023.037066

    Abstract Cloud computing facilitates the great potentiality of storing and managing remote access to services in terms of software as a service (SaaS). Several organizations have moved towards outsourcing over the cloud to reduce the burden on local resources. In this context, the metaheuristic optimization method is determined to be highly suitable for selecting appropriate services that comply with the requirements of the client’s requests, as the services stored over the cloud are too complex and scalable. To achieve better service composition, the parameters of Quality of Service (QoS) related to each service considered to be the best resource need to… More >

  • Open Access

    ARTICLE

    Optimized Decision Tree and Black Box Learners for Revealing Genetic Causes of Bladder Cancer

    Sait Can Yucebas*

    Intelligent Automation & Soft Computing, Vol.37, No.1, pp. 49-71, 2023, DOI:10.32604/iasc.2023.036871

    Abstract The number of studies in the literature that diagnose cancer with machine learning using genome data is quite limited. These studies focus on the prediction performance, and the extraction of genomic factors that cause disease is often overlooked. However, finding underlying genetic causes is very important in terms of early diagnosis, development of diagnostic kits, preventive medicine, etc. The motivation of our study was to diagnose bladder cancer (BCa) based on genetic data and to reveal underlying genetic factors by using machine-learning models. In addition, conducting hyper-parameter optimization to get the best performance from different models, which is overlooked in… More >

  • Open Access

    ARTICLE

    Facile Preparation of Dopamine-Modified Magnetic Zinc Ferrite Immobilized Lipase for Highly Efficient Synthesis of OPO Functional Lipid

    Xue Huang1,*, Zeyu Chen1, Ruizhao Yang1, Guangzhu Feng2

    Journal of Renewable Materials, Vol.11, No.5, pp. 2301-2319, 2023, DOI:10.32604/jrm.2023.025888

    Abstract 1,3-Dioleoyl-2-palmitoylglycerol (OPO) has been a hotspot of functional oils research in recent years, but due to the high cost of sn-1,3 specific lipase in enzymatic synthesis and the lack of biocatalyst stability, large-scale industrial application is difficult. In this study, the prepared magnetic ZnFe2O4 was functionalized with dopamine to obtain ZnFe2O4@PDA, and the nano-biocatalyst ZnFe2O4@PDA@RML was prepared by immobilizing sn-1,3 specific lipase of Rhizomucor miehei lipase (RML) via a cross-linking method. The existence of RML on ZnFe2O4@PDA was confirmed by XRD, FTIR, SEM, and TEM. This strategy proved to be simple and effective because the lipase immobilized on magnetic nanoparticles… More > Graphic Abstract

    Facile Preparation of Dopamine-Modified Magnetic Zinc Ferrite Immobilized Lipase for Highly Efficient Synthesis of OPO Functional Lipid

  • Open Access

    ARTICLE

    Improved Chameleon Swarm Optimization-Based Load Scheduling for IoT-Enabled Cloud Environment

    Manar Ahmed Hamza1,*, Shaha Al-Otaibi2, Sami Althahabi3, Jaber S. Alzahrani4, Abdullah Mohamed5, Abdelwahed Motwakel1, Abu Sarwar Zamani1, Mohamed I. Eldesouki6

    Computer Systems Science and Engineering, Vol.46, No.2, pp. 1371-1383, 2023, DOI:10.32604/csse.2023.030232

    Abstract Internet of things (IoT) and cloud computing (CC) becomes widespread in different application domains such as business, e-commerce, healthcare, etc. The recent developments of IoT technology have led to an increase in large amounts of data from various sources. In IoT enabled cloud environment, load scheduling remains a challenging process which is applied for ensuring network stability with maximum resource utilization. The load scheduling problem was regarded as an optimization problem that is solved by metaheuristics. In this view, this study develops a new Circle Chaotic Chameleon Swarm Optimization based Load Scheduling (C3SOA-LS) technique for IoT enabled cloud environment. The… More >

  • Open Access

    ARTICLE

    Video Transmission Secrecy Improvement Based on Fractional Order Hyper Chaotic System

    S. Kayalvizhi*, S. Malarvizhi

    Computer Systems Science and Engineering, Vol.46, No.1, pp. 1201-1214, 2023, DOI:10.32604/csse.2023.032381

    Abstract In the Digital World scenario, the confidentiality of information in video transmission plays an important role. Chaotic systems have been shown to be effective for video signal encryption. To improve video transmission secrecy, compressive encryption method is proposed to accomplish compression and encryption based on fractional order hyper chaotic system that incorporates Compressive Sensing (CS), pixel level, bit level scrambling and nucleotide Sequences operations. The measurement matrix generates by the fractional order hyper chaotic system strengthens the efficiency of the encryption process. To avoid plain text attack, the CS measurement is scrambled to its pixel level, bit level scrambling decreases… More >

  • Open Access

    ARTICLE

    The microRNA pathway activation in insect cell model upon Autographa californica multiple nucleopolyhedrovirus infection

    QIAOJIN JIA1,2, YUEJUN FU1,*

    BIOCELL, Vol.47, No.3, pp. 627-645, 2023, DOI:10.32604/biocell.2023.026182

    Abstract Background: The immune system of insects exerts fundamentally different antiviral mechanisms than mammals. MicroRNAs (miRNAs) play vital roles in developing insect antiviral immunity. MiRNAs expression profiles of insects changed significantly during baculovirus infection. Methods: Differential expression profiles of miRNAs in Spodoptera frugiperda were monitored by next-generation sequencing (NGS) and RT-qPCR during Autographa californica multiple nucleopolyhedrovirus (AcMNPV) infection. The transcription levels of genes were detected by RT-qPCR. The 50% tissue culture infective dose (TCID50) endpoint dilution assay was used to determine the proliferation of progeny virus. Results: NGS revealed that 49 miRNAs were differentially expressed in Sf9 cells, and 10 of… More >

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