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Overexpression of CREPT confers colorectal cancer sensitivity to fluorouracil 被引量:2
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作者 Yan-Shen Kuang Yi Wang +10 位作者 Li-Dan Ding liu Yang Ying Wang si-han liu Bing-Tao Zhu Xu-Ning Wang Hong-Yi liu Jun Li Zhi-Jie Chang Yin-Yin Wang Bao-Qing Jia 《World Journal of Gastroenterology》 SCIE CAS 2018年第4期475-483,共9页
AIM To investigate expression of cell cycle-related and expression-elevated protein in tumor(CREPT) in colorectal cancer(CRC) and determine its prognostic value in response to 5-fluorouracil(5-FU).METHODS The relative... AIM To investigate expression of cell cycle-related and expression-elevated protein in tumor(CREPT) in colorectal cancer(CRC) and determine its prognostic value in response to 5-fluorouracil(5-FU).METHODS The relative expression of CREPT in CRC tumor samples was determined using immunohistochemistry. The protein content in cell lines was analyzed by immunoblotting. Cell viability was measured with the CCK-8 assay. Cell cycle and apoptosis analyses were performed with flow cytometry.RESULTS CREPT was overexpressed in CRC tissues and correlated with histological grade. Clinicopathological analysis indicated that CREPT was positively related to tumor progression. Exogenous expression of CREPT stimulated cell proliferation and accelerated the cell cycle. More importantly, high expression of CREPT sensitized CRC cells to 5-FU treatment. Furthermore, we demonstrated that 5-FU elicited significant apoptosis in CREPT-positive cells.CONCLUSION Aberrant overexpression of CREPT contributes to tumorigenesis of CRC by promoting cell proliferation and accelerating the cell cycle, and confers sensitivity to 5-FU. CREPT is a potential prognostic biomarker for 5-FU in CRC. 展开更多
关键词 CREPT COLORECTAL cancer 5-FLUOROURACIL APOPTOSIS Cell PROLIFERATION
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基于黏菌算法的蛋白质多序列比对 被引量:2
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作者 王鑫禄 刘大有 +3 位作者 刘思含 王征 张丽伟 董飒 《吉林大学学报(工学版)》 EI CAS CSCD 北大核心 2022年第12期2984-2993,共10页
基于黏菌算法(SMA)提出了一种有效的配比模型(SMA_MSA)以辅助判断不同序列之间是否具有同源性,进而预测蛋白质结构。基于BAliBASE 3.0基准数据集,对SMA_MSA和其他经典竞争算法在6类数据集上进行了测试。结果表明:在其中的31个数据集中SM... 基于黏菌算法(SMA)提出了一种有效的配比模型(SMA_MSA)以辅助判断不同序列之间是否具有同源性,进而预测蛋白质结构。基于BAliBASE 3.0基准数据集,对SMA_MSA和其他经典竞争算法在6类数据集上进行了测试。结果表明:在其中的31个数据集中SMA_SMA有较好的匹配能力,说明了本文模型在蛋白质多序列比对问题中具有很大的发展潜力。 展开更多
关键词 计算机应用 蛋白质多序列比对 黏菌算法 BAliBASE
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