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  • Open Access

    ARTICLE

    A Novel Soft Clustering Approach for Gene Expression Data

    E. Kavitha1,*, R. Tamilarasan2, Arunadevi Baladhandapani3, M. K. Jayanthi Kannan4

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 871-886, 2022, DOI:10.32604/csse.2022.021215

    Abstract Gene expression data represents a condition matrix where each row represents the gene and the column shows the condition. Micro array used to detect gene expression in lab for thousands of gene at a time. Genes encode proteins which in turn will dictate the cell function. The production of messenger RNA along with processing the same are the two main stages involved in the process of gene expression. The biological networks complexity added with the volume of data containing imprecision and outliers increases the challenges in dealing with them. Clustering methods are hence essential to identify the patterns present in… More >

  • Open Access

    ARTICLE

    Mycorrhiza improves cold tolerance of Satsuma orange by inducing antioxidant enzyme gene expression

    MING-AO CAO1, FEI ZHANG2, ELSAYED FATHI ABD_ALLAH3, QIANGSHENG WU1,*

    BIOCELL, Vol.46, No.8, pp. 1959-1966, 2022, DOI:10.32604/biocell.2022.020391

    Abstract A potted experiment was carried out to study the effect of an arbuscular mycorrhizal fungus (Diversispora versiformis) and arbuscular mycorrhizal like fungus (Piriformospora indica) on antioxidant enzyme defense system of Satsuma orange (Citrus sinensis cv. Oita 4) grafted on Poncirus trifoliata under favourable temperature (25°C) and cold temperature (0°C) for 12 h. Such short-term treatment of cold temperature did not cause any significant change in root fungal colonization and spore density in soil. Under cold stress, D. versiformis inoculation did not change the activity of superoxide dismutase (SOD), catalase (CAT), and peroxidase (POD) in leaves and roots, whereas P. indica… More >

  • Open Access

    VIEWPOINT

    A need for stratification of metastasis samples according to secondary site in gene expression studies

    IVANA SAMARŽIJA1,2,*

    BIOCELL, Vol.46, No.7, pp. 1747-1750, 2022, DOI:10.32604/biocell.2022.018784

    Abstract Comparisons of gene expression profiles between primary tumors and metastasis have revealed genes that are implicated in metastasis formation. However, gene expression studies conducted on metastasis samples from the same primary site usually do not discriminate between different secondary sites. Although the change in the expression of number of genes is expected to be common to metastasis from the same primary but different secondary sites, herein the data that point to substantial differences are presented. Furthermore, the reciprocal communication between metastatic and host cells that is influencing these differences is outlined to emphasize the need for stratification of metastasis samples… More >

  • Open Access

    ARTICLE

    Molecular Basis of Unique Branching Phenotypes in Salvia splendens and the Role of PSY

    Peipei Hong1,#, Mei Wang2,#, Liting Zhi2, Hongwei Chen2,3,4,*, Kefeng Liu1, Hongli Wang2

    Phyton-International Journal of Experimental Botany, Vol.91, No.6, pp. 1211-1226, 2022, DOI:10.32604/phyton.2022.018435

    Abstract The branching system of higher plants plays a very important role in plant morphogenesis, and the number of branches can directly affect crop yield and the ornamental value of plants. It is a complicated development process involving complex molecular mechanisms. The ‘Cailinghong’ variety of Salvia splendens is characterized by its great branching ability with the ability to grow into a spherical form naturally, without pinching. To gain insight into the molecular events during the branching development of S. splendens, suppressive subtractive hybridization (SSH) technology was used to screen differentially expressed genes between the erect plant type (strain 35) and the… More >

  • Open Access

    ARTICLE

    Optimized LSTM with Dimensionality Reduction Based Gene Expression Data Classification

    S. Jacophine Susmi*

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1139-1152, 2022, DOI:10.32604/iasc.2022.023865

    Abstract The classification of cancer subtypes is substantial for the diagnosis and treatment of cancer. However, the gene expression data used for cancer subtype classification are high dimensional in nature and small in sample size. In this paper, an efficient dimensionality reduction with optimized long short term memory, algorithm (OLSTM) is used for gene expression data classification. The main three stages of the proposed method are explicitly pre-processing, dimensional reduction, and gene expression data classification. In the pre-processing method, the missing values and redundant values are removed for high-quality data. Following, the dimensional reduction is done by orthogonal locality preserving projections… More >

  • Open Access

    ARTICLE

    Identification of Bio-Markers for Cancer Classification Using Ensemble Approach and Genetic Algorithm

    K. Poongodi1,*, A. Sabari2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 939-953, 2022, DOI:10.32604/iasc.2022.023038

    Abstract The microarray gene expression data has a large number of genes with different expression levels. Analyzing and classifying datasets with entire gene space is quite difficult because there are only a few genes that are informative. The identification of bio-marker genes is significant because it improves the diagnosis of cancer disease and personalized medicine is suggested accordingly. Initially, the parallelized minimum redundancy and maximum relevance ensemble (mRMRe) is employed to select top m informative genes. The selected genes are then fed into the Genetic Algorithm (GA) that selects the optimal set of genes heuristically, which uses Mahalanobis Distance (MD) as… More >

  • Open Access

    ARTICLE

    Effects of Manganese Toxicity on the Growth and Gene Expression at the Seedling Stage of Soybean

    Ying Liu1,3,*, Jingye Chen1,3, Xiaohao Li1,3, Shaoxia Yang1, Hanqiao Hu1,3, Yingbin Xue2,3,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.5, pp. 975-987, 2022, DOI:10.32604/phyton.2022.019057

    Abstract In order to investigate the effects of Manganese (Mn) toxicity stress on the growth and gene expression at the seedling stage of soybean, soybean seedlings were treated with normal Mn concentration (5 μmol/L MnSO4) and excess Mn concentration (100 μmol/L MnSO4) by the method of hydroponic culture in this study. When soybean was subjected to Mn toxicity stress, excessive Mn could affect seedling growth, root development, the number of Mn oxide spots in leaves, and the Mn accumulation content in different parts of soybean. With the increase of exogenous Mn concentration and the prolongation of culture time, the shoot and… More >

  • Open Access

    ARTICLE

    Gene expression profile analysis reveals the effect of metformin treatment on HepG2 cells

    YI HUANG1,2, CHUNFENG DOU2, XUMING HU2, HENGMI CUI2,*

    BIOCELL, Vol.46, No.4, pp. 961-967, 2022, DOI:10.32604/biocell.2022.018131

    Abstract Metformin is a first-line drug in the fight against type 2 diabetes. In recent years, studies have shown that metformin has some preventive and therapeutic effects on liver cancer, but the effects of metformin on the gene expression of liver cancer cells are not fully known. This study focused on the differences in the gene expression profiles in liver cancer cells treated with or without metformin. A total of 153 differentially expressed genes (DEGs) (FC > 2 and q-values < 0.001) were found, including 77 upregulated genes and 76 downregulated genes. These DEGs are involved in mitogen-activated protein kinase (MAPK),… More >

  • Open Access

    ERRATUM

    Benzyl Amino Purine and Gibberellic Acid Coupled to Nitrogen-Limited Stress Induce Fatty Acids, Biomass Accumulation, and Gene Expression in Scenedesmus Obliquus

    Hans Christian Correa-Aguado1,3, Gloria Viviana Cerrillo-Rojas1, Alejandro Rocha-Uribe2, Ruth Elena Soria-Guerra2, José Francisco Morales-Domínguez1,*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 903-903, 2022, DOI:10.32604/phyton.2022.020625

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Genome-Wide Analysis of Snapdragon WRKY and VQ Gene Families and Their Expression in Response to Drought and Cold Stresses

    Huaqiao Ding*, Lihui Mao, Qingcheng Zou, Wei Hu, Xuerui Cao, Qing Dong*

    Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 773-789, 2022, DOI:10.32604/phyton.2022.018075

    Abstract Snapdragon (Antirrhinum majus) is one of the most widely cultivated grass flowers in the world. WRKY transcription factors, VQ proteins and their interactions play crucial roles in plant response to abiotic stresses. However, little is known about WRKY and VQ gene families in snapdragon. In the present study, WRKY and VQ genes and their interactions were comprehensively analyzed in snapdragon using bioinformatics approaches, and their expression in response to drought and cold stresses was examined using real-time PCR. A total of 67 AmWRKY genes were identified in snapdragon, which were classified into different groups or subgroups based on phylogenetic analysis.… More >

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