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  • Open Access

    ARTICLE

    WGCNA and LASSO algorithm constructed an immune infiltration-related 5-gene signature and nomogram to improve prognosis prediction of hepatocellular carcinoma

    MENG FANG1, JING GUO1, HAIPING WANG1, ZICHANG YANG2, HAN ZHAO1,*, QINGJIA CHI2

    BIOCELL, Vol.46, No.2, pp. 401-415, 2022, DOI:10.32604/biocell.2022.016989

    Abstract Hepatocellular carcinoma (HCC) is a common immunogenic malignant tumor. Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC, the 5-year survival rate of patients is still very low. The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies. We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes. Weighted gene co-expression network analysis (WGCNA), univariate and multivariate COX regression and the LASSO COX algorithm are employed to identify prognostic-related genes and… More >

  • Open Access

    ARTICLE

    BEVGGC: Biogeography-Based Optimization Expert-VGG for Diagnosis COVID-19 via Chest X-ray Images

    Junding Sun1,3,#, Xiang Li1,#, Chaosheng Tang1,*, Shixin Chen2,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.129, No.2, pp. 729-753, 2021, DOI:10.32604/cmes.2021.016416

    Abstract Purpose: As to January 11, 2021, coronavirus disease (COVID-19) has caused more than 2 million deaths worldwide. Mainly diagnostic methods of COVID-19 are: (i) nucleic acid testing. This method requires high requirements on the sample testing environment. When collecting samples, staff are in a susceptible environment, which increases the risk of infection. (ii) chest computed tomography. The cost of it is high and some radiation in the scan process. (iii) chest X-ray images. It has the advantages of fast imaging, higher spatial recognition than chest computed tomography. Therefore, our team chose the chest X-ray images as the experimental dataset in… More >

  • Open Access

    ARTICLE

    The neuroprotection of electro-acupuncture via the PGC-1α/TFAM pathway in transient focal cerebral ischemia rats

    LUPING YANG1,#, YIJING JIANG2,#, XIAOQIAN YE3,#, YONGMEI YOU2, LING LIN2, JING LIAN2, JUAN LI1, SHANLI YANG2, XIEHUA XUE2

    BIOCELL, Vol.46, No.1, pp. 235-245, 2022, DOI:10.32604/biocell.2022.014997

    Abstract ATP depletion is one of the pathological bases in cerebral ischemia. Electro-acupuncture (EA) is widely used in clinical practice for ischemia. However, the mechanism of EA remains unclear. The purpose of this study was to investigate whether EA could activate the AMPK/PGC-1α/TFAM signaling pathway and, consequently, increase the preservation of ATP in rats with ischemia. In this study, 48 rats were randomly divided into four groups as a sham-operation control group (sham group), a middle cerebral artery occlusion group (MCAO group), an EA group, and an EA group blocked by the AMPK inhibitor compound C (EA + CC group) (N… More >

  • Open Access

    ARTICLE

    Immune prognostic implications of PSMD14 and its associated genes signatures in hepatocellular carcinoma

    CHUAN TIAN1, MUBALAKE ABUDOUREYIMU1, XINRONG LIN1, HAO ZHOU2, XIAOYUAN CHU1, RUI WANG1,*

    BIOCELL, Vol.45, No.6, pp. 1527-1541, 2021, DOI:10.32604/biocell.2021.016203

    Abstract PSMD14 played a vital role in initiation and progression of hepatocellular carcinoma (HCC). However, PSMD14 and its-related genes for the immune prognostic implications of HCC patients have rarely been analyzed. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) database-Liver Hepatocellular Carcinoma (LIHC). Additionally, we used multi-dimensional bioinformatics analysis to construct and validate a PSMD14-based immune prognostic signature (including RBM45, PSMD1, OLA1, CCT6A, LCAT and IVD) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the low-risk group. Calibration curves confirmed… More >

  • Open Access

    ARTICLE

    Classification of Retroviruses Based on Genomic Data Using RVGC

    Khalid Mahmood Aamir1, Muhammad Bilal2, Muhammad Ramzan1,3, Muhammad Attique Khan4, Yunyoung Nam5,*, Seifedine Kadry6

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3829-3844, 2021, DOI:10.32604/cmc.2021.017835

    Abstract Retroviruses are a large group of infectious agents with similar virion structures and replication mechanisms. AIDS, cancer, neurologic disorders, and other clinical conditions can all be fatal due to retrovirus infections. Detection of retroviruses by genome sequence is a biological problem that benefits from computational methods. The National Center for Biotechnology Information (NCBI) promotes science and health by making biomedical and genomic data available to the public. This research aims to classify the different types of rotavirus genome sequences available at the NCBI. First, nucleotide pattern occurrences are counted in the given genome sequences at the preprocessing stage. Based on… More >

  • Open Access

    ARTICLE

    A Vicenary Analysis of SARS-CoV-2 Genomes

    Sk Sarif Hassan1, Ranjeet Kumar Rout2, Kshira Sagar Sahoo3, Nz Jhanjhi4, Saiyed Umer5, Thamer A. Tabbakh6,*, Zahrah A. Almusaylim7

    CMC-Computers, Materials & Continua, Vol.69, No.3, pp. 3477-3493, 2021, DOI:10.32604/cmc.2021.017206

    Abstract Coronaviruses are responsible for various diseases ranging from the common cold to severe infections like the Middle East syndromes and the severe acute respiratory syndrome. However, a new coronavirus strain known as COVID-19 developed into a pandemic resulting in an ongoing global public health crisis. Therefore, there is a need to understand the genomic transformations that occur within this family of viruses in order to limit disease spread and develop new therapeutic targets. The nucleotide sequences of SARS-CoV-2 are consist of several bases. These bases can be classified into purines and pyrimidines according to their chemical composition. Purines include adenine… More >

  • Open Access

    ARTICLE

    An Efficient GCD-Based Cancelable Biometric Algorithm for Single and Multiple Biometrics

    Naglaa F. Soliman1,2, Abeer D. Algarni1,*, Walid El-Shafai3, Fathi E. Abd El-Samie1,3, Ghada M. El Banby4

    CMC-Computers, Materials & Continua, Vol.69, No.2, pp. 1571-1595, 2021, DOI:10.32604/cmc.2021.016980

    Abstract Cancelable biometrics are required in most remote access applications that need an authentication stage such as the cloud and Internet of Things (IoT) networks. The objective of using cancelable biometrics is to save the original ones from hacking attempts. A generalized algorithm to generate cancelable templates that is applicable on both single and multiple biometrics is proposed in this paper to be considered for cloud and IoT applications. The original biometric is blurred with two co-prime operators. Hence, it can be recovered as the Greatest Common Divisor (GCD) between its two blurred versions. Minimal changes if induced in the biometric… More >

  • Open Access

    ARTICLE

    GC/MS-based differential metabolic profiling of human peptic ulcer disease to study Helicobacter pylori-induced metabolic perturbations

    GAGANJOT GUPTA1, DEEPAK BANSAL2, ANSHULA SHARMA1, TAWSEEF AHMAD1, ATUL SACHDEV2, AJAZ AHMAD3, HAMED A. EL-SEREHY4, BALJINDER KAUR1,*

    BIOCELL, Vol.45, No.5, pp. 1299-1311, 2021, DOI:10.32604/biocell.2021.015411

    Abstract Helicobacter pylori infection has been significantly linked to Peptic Ulcer Disease and Gastric Cancer. Metabolomic fingerprinting may offer a principal way of early diagnosis and to understand the molecular mechanism of H. pylori-induced pathogenicity. The rationale of the study is to explore the underlying distinct metabolic mechanisms of H. pylori-induced PUD and to identify potential biomarkers for disease diagnosis and associated risks using Gas chromatography/mass spectrometry. GC/MS-based analytical method was used to compare metabolic profiles of healthy controls (N = 20) and peptic ulcer patients (N = 45). Acquired metabolomic data were analyzed by constructing a diagnostic model using principal… More >

  • Open Access

    ARTICLE

    Uncertainties in the Mercury Mass Balance in a Coal-Based IGCC Power Plant (Puertollano, Spain)

    José María Esbrí*, Alba Martinez-Coronado, Sofía Rivera Jurado, Eva García-Noguero, Pablo Higueras

    Energy Engineering, Vol.118, No.4, pp. 1223-1235, 2021, DOI:10.32604/EE.2021.015781

    Abstract Mercury (Hg) is a global pollutant that is subject to strict regulations to reduce anthropogenic emissions. The production of energy represents an important activity that leads to Hg emissions into the atmosphere. Of all the systems used, IGCC plants are the most promising for reducing Hg emissions, since it is possible to remove Hg from syngas prior to combustion. The aim of the present work was to evaluate the presence of Hg in the main streams of an experimental IGCC plant (ELCOGAS, Puertollano) in order to quantify Hg emissions and investigate the possibility of reducing them. The main streams of… More >

  • Open Access

    ARTICLE

    The F5 gene predicts poor prognosis of patients with gastric cancer by promoting cell migration identified using a weighted gene co-expression network analysis

    MENGYI TANG1,2,3,4,#, BOWEN YANG1,2,3,4,#, CHUANG ZHANG1,2,3,4, CHAOXU ZHANG1,2,3,4, DAN ZANG1,2,3,4, LIBAO GONG1,2,3,4, YUNPENG LIU1,2,3,4, ZHI LI1,2,3,4,*, XIUJUAN QU1,2,3,4,*

    BIOCELL, Vol.45, No.4, pp. 911-921, 2021, DOI:10.32604/biocell.2021.010119

    Abstract Distal gastric cancer (DGC) is a subgroup of gastric cancer (GC), which has different molecular characteristics from proximal gastric cancer (PGC). These differences result in different overall survival (OS) rates; however, data pertaining to the survival rate in PGC or DGC are contradictory. This suggests that the location of GC is not the unique cause of the different survival rates, while the molecular characteristics might be more important factors determining the prognosis of DGC. Therefore, the aim of this study was to discover key prognostic factors in DGC using bioinformatic methods and to explore the potential molecular mechanism. The Cancer… More >

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