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  • Open Access

    ARTICLE

    LncRNA ZFAS1 regulates cardiomyocyte differentiation of human embryonic stem cells

    YANG CAO1,#, YINING LIU1,#, YANG YU1, XIAOFEI GUO1, XIUXIU WANG1, WENYA MA1, HANJING LI2, ZHONGYU REN2, XINLU GAO2, SIJIA LI2, HAOYU JI2, HONGYANG CHEN2, HONG YAN2, YANAN TIAN2, XIN WANG2, BENZHI CAI1,2,*

    BIOCELL, Vol.47, No.6, pp. 1407-1416, 2023, DOI:10.32604/biocell.2023.029080

    Abstract Background: Cardiomyocytes derived from human embryonic stem cells (hESCs) are regulated by complex and stringent gene networks during differentiation. Long non-coding RNAs (lncRNAs) exert critical epigenetic regulatory functions in multiple differentiation processes. However, the involvement of lncRNAs in the differentiation of hESCs into cardiomyocytes has not yet been fully elucidated. Here, we identified the key roles of ZFAS1 (lncRNA zinc finger antisense 1) in the differentiation of cardiomyocytes from hESCs. Methods: A model of cardiomyocyte differentiation from stem cells was established using the monolayer differentiation method, and the number of beating hESCs-derived cardiomyocytes was calculated. Gene expression was analyzed by… More >

  • Open Access

    ARTICLE

    Construction and validation of prognostic model based on autophagy-related lncRNAs in gastric cancer

    MENGQIU CHENG1,2, WEI CAO2, GUODONG CAO1, XIN XU1,2,*, BO CHEN1,*

    BIOCELL, Vol.46, No.1, pp. 97-109, 2022, DOI:10.32604/biocell.2021.015608

    Abstract Gastric cancer (GC) is one of the most common cancer worldwide. Although emerging evidence indicates that autophagy-related long non-coding RNA (lncRNA) plays an important role in the progression of GC, the prognosis of GC based on autophagy is still deficient. The Cancer Genome of Atlas stomach adenocarcinoma (TCGA-STAD) dataset was downloaded and separated into a training set and a testing set randomly. Then, 24 autophagy-related lncRNAs were found strongly associated with the survival of the TCGA-STAD dataset. 11 lncRNAs were selected to build the risk score model through the least absolute shrinkage and selection operator (LASSO) regression. Every patient got… More >

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