Zong Bi^*, Weifeng Shi, Tiewei Song

Energy Engineering, Vol.119, No.3, pp. 907-928, 2022, DOI:10.32604/ee.2022.019627

Abstract In the marine electric power system, the marine generators will be disturbed by the large change of loads or the fault of the power system. The marine generators usually installed power system stabilizers to damp power system oscillations through the excitation control. This paper proposes a novel method to obtain optimal parameter values for Power System Stabilizer (PSS) to suppress low-frequency oscillations in the marine electric power system. In this paper, a newly developed immune clone selection algorithm was improved from the three aspects of the adaptive incentive degree, vaccination, and adaptive mutation strategies. Firstly,… More >

JUNXIA LIU¹, KE PANG², FEI HE^2,*

BIOCELL, Vol.46, No.7, pp. 1661-1673, 2022, DOI:10.32604/biocell.2022.018023

Abstract Breast cancer is one of the most common cancers in the world and seriously threatens the health of women worldwide. Prognostic models based on immune-related genes help to improve the prognosis prediction and clinical treatment of breast cancer patients. In the study, we used weighted gene co-expression network analysis to construct a co-expression network to screen out highly prognostic immune-related genes. Subsequently, the prognostic immune-related gene signature was successfully constructed from highly immune-related genes through COX regression and LASSO COX analysis. Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has More >

LU YANG^1,#, YUN LIU^1,#, BOKE ZHANG², MENGSI YU³, FEN HUANG¹, YANG WEN¹, JIANGZHENG ZENG¹, YANDA LU¹, CHANGCHENG YANG¹

BIOCELL, Vol.46, No.5, pp. 1215-1243, 2022, DOI:10.32604/biocell.2022.018221

Abstract The aim of this study was to reveal genes associated with breast cancer metastasis, to investigate their intrinsic relationship with immune cell infiltration in the tumor microenvironment, and to screen for prognostic biomarkers. Gene expression data of breast cancer patients and their metastases were downloaded from the GEO, TCGA database. R language package was used to screen for differentially expressed genes, enrichment analysis of genes, PPI network construction, and also to elucidate key genes for diagnostic and prognostic survival. Spearman’s r correlation was used to analyze the correlation between key genes and infiltrating immune cells.… More >

YANG YANG, LIJUAN FU, CHUNMEI CHEN, MEIWEI HU

BIOCELL, Vol.46, No.5, pp. 1319-1328, 2022, DOI:10.32604/biocell.2022.015760

Abstract Aberrant expression of miRNAs is significantly correlated with the occurrence of immune thrombocytopenic purpura (ITP). The immune imbalance of M1/M2 macrophage contributes to the development of ITP. However, the role of miR-148b-3p in macrophage phenotype imbalance remains unknown in ITP. In this study, we aimed to explore whether miR-148b-3p inhibits M2 macrophage polarization in ITP and to investigate the underlying mechanism. Peripheral blood from 22 ITP patients were collected, and real-time PCR confirmed that miR-148b-3p was up-regulated and Western blot analyses detected the expression of SOCS3 was down-regulated. Subsequent dual-luciferase reporter gene assay indicated that More >

YONGHUI YU^1,#, SONGHUI XU^2,#, ERYONG ZHAO^3,#, YONGSHUN DONG¹, JINBIN CHEN¹, BOQI RAO¹, JIE ZENG⁴, LEI YANG¹, JIACHUN LU¹, FUMAN QIU^1,4,*

BIOCELL, Vol.46, No.4, pp. 999-1011, 2022, DOI:10.32604/biocell.2022.017004

Abstract The outcomes of ovarian cancer are complicated and usually unfavorable due to their diagnoses at a late stage. Identifying the efficient prognostic biomarkers to improve the survival of ovarian cancer is urgently warranted. The survival-related pseudogenes retrieved from the Cancer Genome Atlas database were screened by univariate Cox regression analysis and further assessed by least absolute shrinkage and selection operator (LASSO) method. A risk score model based on the prognostic pseudogenes was also constructed. The pseudogene-mRNA regulatory networks were established using correlation analysis, and their potent roles in the ovarian cancer progression were uncovered by… 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… More >

MENG FANG¹, JING GUO¹, HAIPING WANG¹, ZICHANG YANG², HAN ZHAO^1,*, 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… More >

MANSI SHRIVASTAVA¹, DIKSHA PANDEY¹, POONAM SHARMA², RAMBIR SINGH^3,*

BIOCELL, Vol.46, No.2, pp. 339-356, 2022, DOI:10.32604/biocell.2022.016822

Abstract Aspergillus is a group of conidial fungi, isolated from soil and litter, cause serious diseases in humans and animals. This ubiquitous fungus is prevalent in the air and inhalation of fungal spores is common. Fungal diseases from Aspergillus became a major health problem and are difficult to manage because they tend to be chronic and invasive, hard to diagnose and difficult to exterminate with antifungal drugs. Although, immune responses play vital roles in monitoring the fate of fungal infections and regulation of the immune responses against fungal infections might be an effective approach for controlling and… More >

QIANSHAN TAO^#, QING ZHANG^#, HUIPING WANG, HAO XIAO, MEI ZHOU, LINLIN LIU, HUI QIN, JIYU WANG, FURUN AN, ZHIMIN ZHAI^*, YI DONG^*

BIOCELL, Vol.46, No.1, pp. 159-169, 2022, DOI:10.32604/biocell.2021.014139

Abstract Acute myeloid leukemia (AML) is regarded as a stem cell disease. However, no one unique marker is expressed on leukemia stem cells (LSC) but not on leukemic blasts nor normal hematopoietic stem cells (HSC). CD34⁺ CD38- with or without CD123 or CD44 subpopulations are immunophenotypically defined as putative LSC fractions in AML. Nevertheless, markers that can be effectively and simply held responsible for the intrinsical heterogeneity of LSC is still unclear. In the present study, we examined the frequency of three different LSC subtypes (CD34⁺ CD38^-, CD34⁺ CD38^- CD123⁺ , CD34⁺ CD38^- CD44⁺ ) in AML at diagnosis. We then… More >

JIAYU ZHANG^1,2,3,#, RUOYAN CAO^1,2,3,#, JIANMIN PENG^1,2,3, QINCHAO HU^1,2,3, JUAN XIA^1,2,3,*, BIN CHENG^1,2,3,*

BIOCELL, Vol.46, No.1, pp. 111-125, 2022, DOI:10.32604/biocell.2022.016612

Abstract Metabolic reprogramming and immunologic suppression are two critical characteristics promoting the progression of head and neck squamous cell carcinoma (HNSCC). The integrative analysis of all the metabolism-related genes (MRGs) in HNSCC is lacking and the interaction between the metabolism and the immune characteristics also requires more exploration to uncover the potential mechanisms. Therefore, this study was designed to establish a prognostic signature based on all the MRGs in HNSCC. Genes of HNSCC samples were available from the TCGA and GEO databases while the MRGs were retrieved from a previous study. Ultimately 4 prognostic MRGs were… More >