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  • Open Access

    ARTICLE

    Knockdown of Long Noncoding RNA GHET1 Inhibits Cell Proliferation and Invasion of Colorectal Cancer

    Jianyu Zhou*, Xiaorong Li*, Meirong Wu, Changwei Lin*, Yihang Guo*, Buning Tian*

    Oncology Research, Vol.23, No.6, pp. 303-309, 2015, DOI:10.3727/096504016X14567549091305

    Abstract Emerging evidence has identified the vital role of long noncoding RNAs (lncRNAs) in the development of colorectal cancer. In this study, we aimed to investigate the role of lncRNA gastric carcinoma highly expressed transcript 1 (GHET1) in colorectal cancer. We analyzed the expression of GHET1 in colorectal cancer (CRC) tissues by using ISH. We found that GHET1 expression was significantly increased in the CRC samples compared with adjacent tissues. Furthermore, the cancer tissues had higher GHET1 mRNA levels than their matched adjacent tissues. GHET1 expression was also significantly increased in the CRC cell lines compared More >

  • Open Access

    ARTICLE

    Chromosomal location of four genes encoding Class III peroxidases in wheat

    Simonetti E1, E Alba2, A Delibes2

    Phyton-International Journal of Experimental Botany, Vol.81, pp. 139-142, 2012, DOI:10.32604/phyton.2012.81.139

    Abstract In a previous work, deduced amino acid sequences from twenty wheat peroxidase genes were assigned to seven groups designated as TaPrx108 to TaPrx114. Some of these apoplastic peroxidases have previously shown to play different roles in the plant defense responses to infection by the cereal cyst nematode Heterodera avenae. In the present study, PCR marker analysis using Sears’s aneuploid wheat lines cv. ‘Chinese Spring’ was used to locate four genes encoding peroxidase isozymes. The TaPrx111-A, TaPrx112-D and TaPrx113-F genes were located on the short arm of chromosome 2B and the TaPrx109-C on the long arm of chromosome 1B. More >

  • Open Access

    ABSTRACT

    Evaluation of Statistical Feature Encoding Techniques on Iris Images

    Chowhan S.S.1, G.N. Shinde2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.9, No.1, pp. 67-74, 2009, DOI:10.3970/icces.2009.009.067

    Abstract Feature selection, often used as a pre-processing step to machine learning, is designed to reduce dimensionality, eliminate irrelevant data and improve accuracy. Iris Basis is our first attempt to reduce the dimensionality of the problem while focusing only on parts of the scene that effectively identify the individual. Independent Component Analysis (ICA) is to extract iris feature to recognize iris pattern. Principal Component Analysis (PCA) is a dimension-reduction tool that can be used to reduce a large set of variables to a small set that still contains most of the information in the large set. More >

  • Open Access

    ARTICLE

    Genomic cloning and characterization of a PPA gene encoding a mannose-binding lectin from Pinellia pedatisecta

    JUAN LIN1, XUANWEI ZHOU2, JIONG FEI2, ZHIHUA LIAO1, WANG JIN1, XIAOFEN SUN1,*, KEXUAN TANG1,2,*

    BIOCELL, Vol.30, No.1, pp. 15-25, 2006, DOI:10.32604/biocell.2006.30.015

    Abstract A gene encoding a mannose-binding lectin, Pinellia pedatisecta agglutinin (PPA), was isolated from leaves of Pinellia pedatisecta using genomic walker technology. The ppa contained an 1140-bp 5’-upstream region, a 771-bp open reading frame (ORF) and an 829-bp 3’-downstream region. The ORF encoded a precursor polypeptide of 256 amino acid residues with a 24-amino acid signal peptide. There were one putative TATA box and six possible CAAT boxes lying in the 5’-upstream region of ppa. The ppa showed significant similarity at the nucleic acid level with genes encoding mannose-binding lectins from other Araceae species such as Pinellia ternata, Arisaema heterophyllum, Colocasia esculenta More >

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