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  • Open Access

    ARTICLE

    CHRM3 is a novel prognostic factor of poor prognosis and promotes glioblastoma progression via activation of oncogenic invasive growth factors

    BIN ZHANG1,#, JIANYI ZHAO3,#, YONGZHI WANG2,#, HUA XU1, BO GAO1, GUANGNING ZHANG1, BIN HAN1, GUOHONG SONG1, JUNCHEN ZHANG1,*, WEI MENG1,*

    Oncology Research, Vol.31, No.6, pp. 917-927, 2023, DOI:10.32604/or.2023.030425 - 15 September 2023

    Abstract Glioblastoma (GBM) is the most aggressive cancer of the brain and has a high mortality rate due to the lack of effective treatment strategy. Clarification of molecular mechanisms of GBM’s characteristic invasive growth are urgently needed to improve the poor prognosis. Single-nuclear sequencing of primary and recurrent GBM samples revealed that levels of M3 muscarinic acetylcholine receptor (CHRM3) were significantly higher in the recurrent samples than in the primary samples. Moreover, immunohistochemical staining of an array of GBM samples showed that high levels of CHRM3 correlated with poor prognosis, consistent with The Cancer Genome Atlas More >

  • Open Access

    ARTICLE

    Identification of Polymorphic Markers by High-Resolution Melting (HRM) Assay for High-Throughput SNP Genotyping in Maize

    Zhigang Shang1,2, Yongzhe Zhu3, Xinmei Guo1,2, Meiai Zhao1,4,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1711-1725, 2021, DOI:10.32604/phyton.2021.015048 - 28 June 2021

    Abstract The development of next generation sequencing (NGS) and high throughput genotyping are important techniques for the QTL mapping and genetic analysis of different crops. High-resolution melting (HRM) is an emerging technology used for detecting single-nucleotide polymorphisms (SNPs) in various species. However, its use is still limited in maize. The HRM analysis was integrated with SNPs to identify three types of populations (NIL population, RIL population and natural population), and the useful tags were screened. The patterns of temperature-shifted melting curves were investigated from the HRM analysis, and compared these with the kit. Among all 48 More >

  • Open Access

    ARTICLE

    Grapevine Phenological Quantitative Trait SSR Genotyping Using High-Throughput HRM-PCR Analysis

    Murad Awad1, Photini V. Mylona2, Alexios N. Polidoros1,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 905-923, 2020, DOI:10.32604/phyton.2020.011235 - 09 November 2020

    Abstract Discrimination among grapevine varieties based on quantitative traits, such as flowering, veraison and ripening dates is crucial for variety selection in the context of climate change and in breeding programs. These traits are under complex genetic control for which 6 linked SSR loci (VVS2, VVIn16, VMC7G3, VrZAG29, VMC5G7, and VVIB23) have been identified. Using these markers in HRM-PCR analysis, we assessed genetic diversity among a large collection of 192 grapevine varieties. The grapevine germplasm used encompasses the majority of Greek vineyard with 181 varieties, 3 prominent foreign varieties and 11 varieties of Palestinian origin. The… More >

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