Weili Min^*1, Liangzhang Sun^†1, Burong Li^‡, Xiao Gao^*, Shuqun Zhang^*, Yang Zhao^*

Oncology Research, Vol.28, No.9, pp. 857-872, 2020, DOI:10.3727/096504021X16203818567367

Abstract EMT confers increased metastatic potential and the resistance to chemotherapies to cancer cells. However, the precise mechanisms of EMT-related chemotherapy resistance remain unclear. c-Src-mediated caspase 8 phosphorylation essential for EMT in lung adenocarcinoma cell lines preferentially occurs in cells with the mesenchymal phenotype, resulting in chemoresistance to cisplatin plus paclitaxel in patients with resectable lung adenocarcinoma and a significantly worse 5-year PFS. Cisplatin killed lung adenocarcinoma cells regardless of caspase 8. Paclitaxel-triggered necroptosis in lung adenocarcinoma cells was dependent on the phosphorylation or deficiency of caspase 8, during which FADD interacted with RIPK1 to activate the RIPK1/RIPK3/MLKL signaling axis. Accompanied… More >

N. Sureka^*, K. Gunaseelan

Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1893-1906, 2022, DOI:10.32604/iasc.2022.026098

Abstract Cognitive Radio (CR) is a competent technique devised to smart sense its surroundings and address the spectrum scarcity issues in wireless communication networks. The Primary User Emulation Attack (PUEA) is one of the most serious security threats affecting the performance of CR networks. In this paper, machine learning (ML) principles have been applied to detect PUEA with superior decision-making ability. To distinguish the attacking nodes, Reinforced Learning (RL) and Extreme Machine Learning (EML-RL) algorithms are proposed to be based on Reinforced Learning (EML). Various dynamic parameters like estimation error, attack detection efficiency, attack estimation rate, and learning rate have been… More >

S. Velmurugan^1,*, P. Ezhumalai², E. A. Mary Anita³

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1093-1108, 2022, DOI:10.32604/iasc.2022.026308

Abstract Cognitive Radio Networks (CRN) have recently emerged as an important solution for addressing spectrum constraint and meeting the stringent criteria of future wireless communication. Collaborative spectrum sensing is incorporated in CRNs for proper channel selection since spectrum sensing is a critical capability of CRNs. According to this viewpoint, this study introduces a new Adaptive Neuro Fuzzy logic with Improved Genetic Algorithm based Channel Selection (ANFIGA-CS) technique for collaborative spectrum sensing in CRN. The suggested method’s purpose is to find the best transmission channel. To reduce spectrum sensing error, the suggested ANFIGA-CS model employs a clustering technique. The Adaptive Neuro Fuzzy… More >

TIEJUN ZHAO, RIQIANG DENG^*, MENGQIU CHEN, XUNZHANG WANG

BIOCELL, Vol.46, No.7, pp. 1675-1686, 2022, DOI:10.32604/biocell.2022.018166

Abstract Sf9Sf9 are the ovarian cells of Spodoptera frugiperda that is the host of Autographa californica multiple nucleopolyhedrovirus (AcMNPV), and hence can serve as an effective test vehicle to understand the AcMNPV infection mechanism. In this study, through high-throughput sequencing technology using samples collected from Sf9 cells at different time points after AcMNPV infection, 3463 pieces of time-series differentially expressed RNA (1,200 mRNA and 2,263 lncRNA) are identified and justified by experimental verification of randomly selected samples from them, proving the validity of the bioinformatical analysis on this topic. Functional enrichment analysis and target prediction are performed on those differentially expressed… More >

K. Saravanan^1,*, G. M. Tamilselvan², A. Rajendran³

Computer Systems Science and Engineering, Vol.42, No.3, pp. 1063-1077, 2022, DOI:10.32604/csse.2022.020789

Abstract As huge users are involved, there is a difficulty in spectrum allocation and scheduling in Cognitive Radio Networks (CRNs). Collision increases when there is no allocation of spectrum and these results in huge drop rate and network performance degradation. To solve these problems and allocate appropriate spectrum, a novel method is introduced termed as Quality of Service (QoS) Improvement Proper Scheduling (QIPS). The major contribution of the work is to design a new cross layer QoS Aware Scheduling based on Loss-based Proportional Fairness with Multihop (QoSAS-LBPFM). In Medium Access Control (MAC) multi-channel network environment mobile nodes practice concurrent broadcast between… More >

JIAN XU^1,#, HAILONG GE^1,#, CHEN CHAO¹, FENG MO¹, YU WANG¹, DENGKUI ZHANG¹, XIAOXIAO ZHENG², LI ZHENG², XUEMEI LU², WEI CHEN², QUN XU^1,*, WEIXIN YU^1,*

BIOCELL, Vol.46, No.6, pp. 1493-1503, 2022, DOI:10.32604/biocell.2022.016962

Abstract Although sorafenib has been found to prolong the survival time of patients with hepatocellular carcinoma (HCC), sorafenib resistance remains an important challenge. Increasing studies have demonstrated that long noncoding RNAs (lncRNAs) contribute to drug resistance in a wide number of cancers. Human periodontal ligament stem cell (PDLSC) osteogenesis impairment-related lncRNA (POIR) is a recently defined lncRNA for which little is known regarding its function. Our study aimed to reveal the role of POIR in the development of HCC cell sorafenib resistance. The level of POIR expression in patients and tumor cells was examined by Reverse transcription-quantitative polymerase chain reaction (RT-qPCR)… More >

Yuqin Xie, Shuang Deng, Qian Deng, Jiudong Xu

Oncologie, Vol.23, No.4, pp. 609-609, 2021, DOI:10.32604/oncologie.2021.020379

Abstract This article has no abstract. More >

LEJUN GONG^1,2,*, SHEHAI ZHOU¹, JINGMEI CHEN¹, YONGMIN LI¹, LI ZHANG⁴, ZHIHONG GAO³

BIOCELL, Vol.46, No.4, pp. 951-960, 2022, DOI:10.32604/biocell.2022.016625

Abstract Long non-coding RNAs (lncRNAs) play an important role in many life activities such as epigenetic material regulation, cell cycle regulation, dosage compensation and cell differentiation regulation, and are associated with many human diseases. There are many limitations in identifying and annotating lncRNAs using traditional biological experimental methods. With the development of high-throughput sequencing technology, it is of great practical significance to identify the lncRNAs from massive RNA sequence data using machine learning method. Based on the Bagging method and Decision Tree algorithm in ensemble learning, this paper proposes a method of lncRNAs gene sequence identification called BDLR. The identification results… More >

ZHENGUO SHI^#,*, QIAOYUN WU^#, HAIYAN SHI, SONGTIE YING, LIANG TAO

BIOCELL, Vol.46, No.4, pp. 979-988, 2022, DOI:10.32604/biocell.2022.015345

Abstract NLRP3 inflammasome-mediated cell pyroptosis aggravates the development of cerebral ischemia/reperfusion (I/R) injury, and the aim of this study is to investigate the potential utilization of the Chinese medicine, Puerarin, in treating this disease. Through conducting in vitro and in vivo experiments, the present study illustrated that Puerarin regulated LncRNA double homeobox A pseudogene 8 (DUXAP8)/miR-223-3p axis to inactivate NLRP3-mediated pyroptotic cell death, resulting in the attenuation of I/R injury. Specifically, the cerebral I/R injury in rat models and hypoxia/reoxygenation (H/R) in primary hippocampus neuron (PHN) cells were inducted, which were subsequently exposed to Puerarin treatment. As expected, we validated that… More >

RAGHDA A. SOLIMAN¹, RANA A. YOUNESS^1,2,*, TAMER M. MANIE³, EMAD KHALLAF⁴, MOHAMED EL-SHAZLY¹, MONA ABDELMOHSEN⁵, HEBA HANDOUSSA¹, MOHAMED Z. GAD^6,*

BIOCELL, Vol.46, No.3, pp. 769-783, 2022, DOI:10.32604/biocell.2022.016636

Abstract Triple Negative Breast Cancer (TNBC) immunotherapy has recently shown promising approach. However, some TNBC patients presented with resistance. One of the reasons was attributed to the excessive release of cytokines at the tumor microenvironment (TME) such as Tumor necrosis factor alpha (TNF-α) and Interleukin-10 (IL-10). Fine regulation of these cytokines’ levels via non-coding RNAs (ncRNAs) might alleviate the immune quiescent nature of TME at TNBC tumors. However, the extrapolation of ncRNAs as therapeutic tools is highly challenging. Therefore, disentanglement the nature for the isolation of natural compounds that could modulate the ncRNAs and their respective targets is an applicable translational… More >