👤 Ke Xu

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Also published as: Ting-Xin Xu, Shuang Xu, Renyuan Xu, Cheng Xu, Xiao Xu, Jia-Chen Xu, Yanyong Xu, Shengjie Xu, Nong Xu, D-J Xu, Hongfa Xu, Shiyi Xu, Yunjian Xu, Maochang Xu, Lingyan Xu, Guoheng Xu, Zaibin Xu, Yuexuan Xu, Jinhe Xu, Yitong Xu, Yaping Xu, Miao Xu, Hongming Xu, Jiang Xu, Feng-Qin Xu, Zaihua Xu, Yaru Xu, Qiuyu Xu, Mingcong Xu, Yuanzhong Xu, Mai Xu, Biao Xu, Jingjun Xu, Shuwan Xu, Ya-Ru Xu, Zhilong Xu, Jun-Chao Xu, Shutao Xu, TianBo Xu, Jinyu Xu, Peng Xu, Guo-Xing Xu, Jie-Hua Xu, Yushan Xu, Yongsong Xu, Xin-Rong Xu, Xiang-Min Xu, Bilin Xu, Xiaolong Xu, Jinchao Xu, Han Xu, Xuting Xu, Yu Xu, Yingqianxi Xu, Yanyang Xu, Aili Xu, Weizhi Xu, Peidi Xu, Tongyang Xu, Tieshan Xu, Jianping Xu, Wen-Juan Xu, Bing Xu, Chengyun Xu, Xiaofeng Xu, Zhengang Xu, Guang-Hong Xu, Fangui Xu, Shan-Shan Xu, Hailiang Xu, Song-Song Xu, Quanzhong Xu, Mengqi Xu, Gezhi Xu, Dawei Xu, Linyan Xu, Tonghong Xu, Yidan Xu, Meishu Xu, Panpan Xu, Keli Xu, Xiufeng Xu, Hongwen Xu, Hanyuan Xu, Liang Xu, Zaoyi Xu, Fengqin Xu, Run-Xiang Xu, Xiaoyan Xu, Ruxiang Xu, Huiming Xu, Daqian Xu, Qin-Zhi Xu, Jiancheng Xu, Boming Xu, Zihao Xu, Jinghong Xu, Aimin Xu, Renfang Xu, Ran Xu, Di-Mei Xu, Xiang-liang Xu, Yana Xu, Yanchang Xu, Richard H Xu, Danyi Xu, Lingli Xu, Xiaocheng Xu, Chengqi Xu, Xiaoshuang Xu, H X Xu, Min Xu, Ya'nan Xu, Zhi Ping Xu, Zihe Xu, Xuan Xu, Hongle Xu, Jielin Xu, Yuping Xu, Yinli Xu, Limin Xu, Renshi Xu, Da Xu, C C Xu, Yongqing Xu, Heping Xu, Yiquan Xu, Weilan Xu, Jingjing Xu, Yangxian Xu, Yifan Xu, Congjian Xu, Binqiang Xu, Wentao Xu, Yuerong Xu, Jiaqi Xu, Jiachi Xu, Shang-Fu Xu, Zhi-Qing David Xu, Yuejuan Xu, Chao Xu, Yi-Xian Xu, Longfei Xu, Ziwei Xu, Mengyue Xu, Jingying Xu, Wenhui Xu, Zi-Xiang Xu, Caixia Xu, Chenjie Xu, Xiaoting Xu, Jiacheng Xu, Chunhui Xu, Chengxun Xu, Hengyi Xu, Songsong Xu, Lingyao Xu, Qingqiu Xu, Gangchun Xu, Yanjun Xu, Qiong Xu, Zifan Xu, Wenxuan Xu, Jiayunzhu Xu, Yifeng Xu, DongZhu Xu, Lingna Xu, Qianzhu Xu, Bocheng Xu, Qingjia Xu, Yanni Xu, Li-Yan Xu, Benhong Xu, Fang Xu, Xingsheng Xu, Geyang Xu, Anqi Xu, Zeao Xu, Mengsi Xu, Jun Xu, Qiuhong Xu, Ning'an Xu, Lian-Wei Xu, H F Xu, Hua Xu, Danping Xu, Xiaofang Xu, Shanshan Xu, Sheng-Qian Xu, Bingxin Xu, Shiqing Xu, Cunshuan Xu, Guangwei Xu, Changwu Xu, Beibei Xu, Zhuangzhuang Xu, Chong-Feng Xu, Yunyi Xu, Yunxuan Xu, Zeya Xu, Jinshu Xu, Laizhi Xu, Xinyu Xu, Meiyu Xu, Bi-Yun Xu, Mingliang Xu, Bingfang Xu, Weixia Xu, Suling Xu, W W Xu, Lidan Xu, Chengkai Xu, Feng Xu, Yunhe Xu, Zesheng Xu, Li Xu, Song Xu, Yungen Xu, Yaobo Xu, Qinli Xu, Yi-Liang Xu, Dong Xu, Tan Xu, Ruiling Xu, Wanqi Xu, Ziyang Xu, Xiaohong Ruby Xu, Guangyu Xu, Xiao-Shan Xu, Wenxin Xu, Yongsheng Xu, Jingya Xu, Zhong-Hua Xu, Jiajie Xu, Dan Xu, Youjia Xu, Longsheng Xu, Mengjie Xu, Guo-Tong Xu, Ting Xu, Chunwei Xu, Tianmin Xu, Xianghong Xu, Nenggui Xu, Meixi Xu, Hongxia Xu, Rongying Xu, Guoliang Xu, Lisi Xu, Leisheng Xu, Yurui Xu, Xianli Xu, Honglin Xu, Yunfang Xu, Guo Xu, Kelin Xu, Shengyu Xu, Xiaoqin Xu, Zheng Xu, Junchang Xu, Jiaying Xu, Chunyu Xu, Zhen-Guo Xu, Beisi Xu, Haonan Xu, Haiman Xu, Tianyi Xu, Lili Xu, Yi Xu, Qihang Xu, Dongju Xu, Zihua Xu, Qikui Xu, Zhongwei Xu, Zhijie Xu, Li-Jun Xu, Qi-Qi Xu, Hanchen Xu, Yaqi Xu, Daohua Xu, Shaonian Xu, Xihui Xu, Ziqi Xu, D Xu, Tian-Ying Xu, Xiangbin Xu, Chen-Run Xu, Bin Xu, Jianjuan Xu, Zhanyu Xu, Wenjie Xu, Lingjuan Xu, Shuwen Xu, Cian Xu, Qiulin Xu, Yu-Ming Xu, Zeyu Xu, Jia Xu, Zengliang Xu, Yujie Xu, Yuting Xu, Jing-Yi Xu, Jiajia Xu, Xiqi Xu, Leiyu Xu, Shi-Na Xu, Ruonan Xu, Wenhuan Xu, Bai-Hui Xu, Jishu Xu, Xiangyu Xu, Lu-Lu Xu, Shiyun Xu, Huaxiang Xu, Lei Xu, Yuli Xu, Chan Xu, Tengfei Xu, Yong Xu, Xuejun Xu, Hang Xu, Junjie Xu, Jinjie Xu, Haoda Xu, Rui-Ming Xu, Yunxi Xu, Jinghua Xu, Ye Xu, Jiyi Xu, Mei-Jun Xu, Jianyong Xu, Yingzheng Xu, Kaiyue Xu, Yeqiu Xu, Songli Xu, Cheng-Jian Xu, Chenqi Xu, Qiaoshi Xu, YanFeng Xu, Rongrong Xu, Jin Xu, Huimian Xu, Zaikun Xu, Aixiao Xu, Yanfei Xu, Chunlin Xu, Dapeng Xu, Huiqiong Xu, Fengxia Xu, Yongmei Xu, Yubin Xu, Xiaojing Xu, Pu Xu, Xiaoli Xu, Wenming Xu, Wenjuan Xu, Wenjing Xu, Haijin Xu, Yawei Xu, Chuanrui Xu, Wenping Xu, Tongtong Xu, Zhigang Xu, Yinfeng Xu, Zi-Hua Xu, Jiean Xu, Ming Xu, Keshu Xu, Weili Xu, Guofeng Xu, Ai-Guo Xu, Xingyu Xu, Shujing Xu, Weiqun Xu, Wen-Hao Xu, Hong-wei Xu, Jianfeng Xu, Y Xu, Steven Jing-Liang Xu, Fangfang Xu, Xiao-Dan Xu, Keyun Xu, Yetao Xu, Qianhui Xu, Chaoqun Xu, Yuzhi Xu, Fenghuang Xu, Tengxiao Xu, Zelin Xu, Xueni Xu, Jing-Ying Xu, Yichi Xu, Ruifeng Xu, Kewei Xu, Jiapeng Xu, Fang-Fang Xu, Sifan Xu, Pengli Xu, Jiaqin Xu, Xiaotao Xu, Chunming Xu, X Xu, Gang Xu, Xinyin Xu, Wei Xu, Yuzhen Xu, Wancheng Xu, Qiming Xu, Hailey Xu, Yuanyuan Xu, Yimeng Xu, Xiaoming Xu, Shihao Xu, Zhipeng Xu, Minxuan Xu, Haowen Xu, Dilin Xu, Jingzhou Xu, Rui Xu, Qiongying Xu, Zhengshui Xu, Jinyi Xu, Q P Xu, Yongjian Xu, Qiushi Xu, Junfei Xu, Mengjun Xu, Hui Ming Xu, Xiaolei Xu, Yanzhe Xu, Qin Xu, Zichuan Xu, Xinyun Xu, Xiaoge Xu, Tianyu Xu, Yigang Xu, Hongyan Xu, Lanjin Xu, Guowang Xu, Jingjie Xu, Yangyang Xu, Yi-Huan Xu, Guanhua Xu, Hongrong Xu, Fen Xu, Pin-Xian Xu, Jian Xu, Tiantian Xu, Zhonghui Xu, Changfu Xu, Dong-Hui Xu, Yi-Ni Xu, Jialu Xu, Yuzhong Xu, Hongli Xu, Mingyuan Xu, Minghao Xu, Qinghua Xu, C F Xu, Yiting Xu, Jiahong Xu, Qian Xu, Haixiang Xu, Xizheng Xu, Kun Xu, Xiaoyang Xu, Yunfei Xu, Xiaojun Xu, Xinyuan Xu, Chen Xu, Guogang Xu, Jinguo Xu, Guiyun Xu, Lingyi Xu, Wenbin Xu, Chunjie Xu, Cheng-Bin Xu, Manman Xu, Dongke Xu, Jia-Mei Xu, Bing-E Xu, Lijiao Xu, You-Song Xu, Mengmeng Xu, Yu-Xin Xu, Jianwei Xu, Kuanfeng Xu, Chun Xu, Waner Xu, Shiliyang Xu, Zhiyao Xu, Gu-Feng Xu, J T Xu, Wenyuan Xu, Haifeng Xu, Ling Xu, Chaohua Xu, Lisha Xu, Xiayun Xu, Qian-Fei Xu, Huaisha Xu, Jinying Xu, Tengyun Xu, Chaoguang Xu, Fuyi Xu, Shihui Xu, Yingna Xu, Aishi Xu, Yanyan Xu, Bilian Xu, Qiuhui Xu, Jinsheng Xu, Qinwen Xu, Tianfeng Xu, Liyi Xu, Lihui Xu, Wenyan Xu, Guanyi Xu, Ru-xiang Xu, Zongzhen Xu, Nan Xu, Rui-Xia Xu, Jinxian Xu, Zhiting Xu, Jiaming Xu, Shan-Rong Xu, Yi-Tong Xu, Xiaojuan Xu, Guifa Xu, Xia-Jing Xu, Libin Xu, Dequan Xu, Guoxu Xu, Hong Xu, Lubin Xu, Cai Xu, Mengying Xu, Tian-Le Xu, J Xu, Weidong Xu, Chengbi Xu, Yibin Xu, Cong-jian Xu, Qianlan Xu, Tingting Xu, Caiqiu Xu, Hong-Yan Xu, Hanqian Xu, Xiao Le Xu, Bei Xu, Guanlan Xu, Jianxin Xu, Ming-Zhu Xu, Long Xu, Xiaopeng Xu, Yinjie Xu, Shufen Xu, Zhihua Xu, Ming-Jiang Xu, Di Xu, Qingwen Xu, Jiake Xu, Tingxuan Xu, Ping Xu, Peng-Ju Xu, Shang-Rong Xu, Li-Zhi Xu, Baoping Xu, Huan Xu, Wenwu Xu, Zhenyu Xu, Chong Xu, Sihua Xu, Anlong Xu, Lu Xu, Chen-Yang Xu, Xiaoyu Xu, Zhe Xu, Qiuyue Xu, Guangquan Xu, Peiyu Xu, Huihui Xu, Ding Xu, Yuchen Xu, Jianguo Xu, Xuegong Xu, Lingyang Xu, Jia-Yue Xu, Liping Xu, Yiyi Xu, Yuling Xu, Jianqiu Xu, Lichi Xu, Xiaojiang Xu, Yuyang Xu, Xiao-Hui Xu, Mao Xu, Zhaofa Xu, Qingchan Xu, Yanli Xu, Julie Xu, Minglan Xu, G Xu, Miaomiao Xu, Yao Xu, Yali Xu, Yanqi Xu, Tian Xu, Xiaowen Xu, Xiaojin Xu, Lingxiang Xu, Qing-Yang Xu, Jianguang Xu, Zhanchi Xu, Shiwen Xu, Haikun Xu, Hongbei Xu, Yixin Xu, Zhan Xu, Xingshun Xu, Fangmin Xu, Wenzhuo Xu, Fu Xu, Haimin Xu, Shengtao Xu, Jiahui Xu, Zhiwei Xu, Peiwei Xu, Daichao Xu, Wen-Hui Xu, Xingyan Xu, H Eric Xu, Zhi-Feng Xu, Mingming Xu, Daiqi Xu, Keman Xu, Hongtao Xu, Yinying Xu, Yuexin Xu, Yuanwei Xu, Jinfeng Xu, Xuanqi Xu, L Xu, Chunyan Xu, Hanting Xu, Chaoyu Xu, Shendong Xu, Tiancheng Xu, Guangsen Xu, Chentong Xu, Yaozeng Xu, Banglao Xu, Danyan Xu, Tao Xu, Ren-He Xu, Haiyan Xu, Jian-Guang Xu, Yu-Fen Xu, Youzhi Xu, Hui Xu, Enwei Xu, F F Xu, Ningda Xu, Zejun Xu, Li-Wei Xu, N Y Xu, Xiaoya Xu, Ren Xu, Ze-Jun Xu, Yanan Xu, Jiapei Xu, Peigang Xu, Tianxiang Xu, Haiqi Xu, Qing-Wen Xu, Junnv Xu, Tian-Rui Xu, Wanfu Xu, Wang-Hong Xu, Maotian Xu, Suoyu Xu, Mingli Xu, Liwen Xu, Qingqing Xu, Zhenming Xu, Jingyi Xu, Yihua Xu, Dong-Juan Xu, Mu Xu, Meifeng Xu, Li-Ling Xu, Dongmei Xu, Jianliang Xu, Xinjie Xu, Pengfei Xu, Changlin Xu, Shuai Xu, Fang-Yuan Xu, Yingli Xu, Ying Xu, Guo-Liang Xu, Zhiqiang Xu, Xirui Xu, Haiying Xu, Wen Xu, Xiaoyin Xu, Wenwen Xu, Mengping Xu, Jing-Yu Xu, Chunlan Xu, Danfeng Xu, Yuan Xu, Wenchun Xu, Zekuan Xu, Nuo Xu, Shuxiang Xu, Min Jie Xu, Zixuan Xu, Penghui Xu, Bingqi Xu, Hongen Xu, Zongli Xu, Tianli Xu, Bo Xu, Qingyuan Xu, Zhaojun Xu, Shuhua Xu, Min-Xuan Xu, Xu Xu, Runhao Xu, M Xu, Xiongfei Xu, Zhaoyao Xu, Yayun Xu, Yingju Xu, Guang-Qing Xu, Kaixiang Xu, Lingling Xu, Jiyu Xu, Anton Xu, Jason Xu, Donghang Xu, Xiaowu Xu, Fengzhe Xu, Xia Xu, Xiangshan Xu, Wan-Ting Xu, Fengyan Xu, Qingheng Xu, Changlu Xu, Huaiyuan Xu, Jinsong Xu, Dongchen Xu, Rang Xu, Peng-Yuan Xu, Jinyuan Xu, Weihong Xu, Wanxue Xu, Jie Xu, Xinyi Xu, Junfeng Xu, Danning Xu, Haiming Xu, Shan Xu, Sutong Xu, Meng Xu, Yueyue Xu, Jixuan Xu, Hongjian Xu, Zhidong Xu, Jinjin Xu, Xiaobo Xu, Hongmei Xu, Shu-Xian Xu, Chuang Xu, Shuaili Xu, Zhixian Xu, Yun Xu, Yue Xu, George X Xu, Man Xu, Jiaai Xu, Zeqing Xu, Baijie Xu, Zheng-Fan Xu, Bojie Xu, Mengru Xu, H Y Xu, Yinhe Xu, Linna Xu, Liqun Xu, Zhi-Zhen Xu, Xiaohui Xu, Yinxia Xu, Xingmeng Xu, Pan Xu, Pengjie Xu, Kexin Xu, Kai Xu, Xiaolin Xu, Cun Xu, Yuxiang Xu, Tong Xu, Jingyu Xu, Li-Li Xu, Yancheng Xu, Chunxiao Xu, Yan Xu, Huajun Xu, Hongjiang Xu, Shuiyang Xu, Kaihao Xu, Suo-Wen Xu, Heng Xu, Zebang Xu, Hongbo Xu, Chenhao Xu, Fanghua Xu, Yaowen Xu, Jing Xu, Qianqian Xu, Andrew Z Xu, Flora Mengyang Xu, Yuanzhi Xu, Leilei Xu, Leyuan Xu, M-Y Xu, Hongzhi Xu, Zongren Xu, Xinyue Xu, Qingxia Xu, Xiao-Hua Xu, Cineng Xu, Nannan Xu, Guoshuai Xu, Mingzhu Xu, X S Xu, Guang Xu, Song-Hui Xu, Zhiyang Xu, Wang-Dong Xu, De-Xiang Xu, Yi Ran Xu, Shengen Xu, Jianzhong Xu, F Xu, Dexiang Xu, Rui-Hua Xu, Tongxin Xu, Wanting Xu, Bingqian Xu, Yang Xu, Jiaqian Xu, Yu-Ping Xu, Zhanqiong Xu, Haixia Xu, Hao Xu, HuiTing Xu, Hanfei Xu, Shu-Zhen Xu, Zhong Xu, Xun Xu, Xiaolu Xu, S Xu, Ning Xu, Guangyan Xu, Chengye Xu, Xizhan Xu, Jianming Xu, Ya-Peng Xu, Wenhao Xu, Minghong Xu, Mingqian Xu, Yaqin Xu, Chang-Qing Xu, Weiyong Xu, Huixuan Xu, Jialin Xu, Fei Xu, Z Xu, Pao Xu, Youping Xu, Keke Xu, Shunjiang Xu, Feilai Xu, Jia-Li Xu, Yucheng Xu, Qi Xu, Jinhua Xu, Chunli Xu, Zhiliang Xu, Jinxin Xu, Bingqing Xu, Weihai Xu, Lifen Xu, Lianjun Xu, Wenqi Xu, Zheng-Hong Xu, Lin Xu, Zuojun Xu, Yanquan Xu, Yanwu Xu, Mingjie Xu, Hui-Lian Xu, Cong Xu, Dongjun Xu, Maodou Xu, Rong Xu, Haoyang Xu, Shanhai Xu, Haoyu Xu, Yinglin Xu, Wenqing Xu, Jiali Xu, Xiaoke Xu, Changliu Xu, Feng-Xia Xu, Carrie Xu, Yuheng Xu, Shimeng Xu, Wanwan Xu, Weiming Xu, Gui-Ping Xu, Zhenzhou Xu, Yangbin Xu, Aohong Xu, Wenlong Xu, Jia-Xin Xu, Luyi Xu, Manyi Xu, De Xu, Xinxuan Xu, Changde Xu, Gaosi Xu, Baofeng Xu, Chang Xu, Wanhai Xu, Qing Xu, Zuyuan Xu, Pingwen Xu, Feng-Yuan Xu, Aoling Xu, Erping Xu, Zhicheng Xu, Shaoqi Xu, Lun-Shan Xu, Shiyao Sherrie Xu, Jianing Xu, Boqing Xu, Janfeng Xu, Yin Xu, Weijie Xu, Yu-Peng Xu, Ya-Nan Xu, Gaoyuan Xu, Iris M J Xu, Zhi Xu, Xiaomeng Xu, Mengyi Xu, Meifang Xu, Houxi Xu, Yuanfeng Xu, Shuqia Xu, Da-Peng Xu, Hong-tao Xu, Yaling Xu, Mei Xu, Xiaojiao Xu, Zhiru Xu, Weide Xu, Dandan Xu, W Xu, Shun Xu, Jianhua Xu, Tongda Xu, Cynthia M Xu, Yechun Xu, Lijun Xu, Xiao-Lin Xu, Ziye Xu, Xiaohan Xu, Guozheng Xu, Rongbin Xu, Nathan Xu, Wangdong Xu, Kailian Xu, Yongfeng Xu, Zhunan Xu, Jiawei Xu, Ruohong Xu, Yuhan Xu, Shanqi Xu, Shoujia Xu, T Xu, Weifeng Xu, Qiuyun Xu, Hu Xu, Yanming Xu, Hongwei Xu, Ziyu Xu, Kaishou Xu, Jian Hua Xu, Xin Xu, Liu Xu, Zetan Xu, Leiting Xu, Yong-Nan Xu, Houguo Xu, Zhizhen Xu, Ya-lin Xu, Xiang Xu, Suowen Xu, Xuejin Xu, Yiming Xu, Shude Xu, Genxing Xu, Yun-Teng Xu, Yanling Xu, Yuanhong Xu, Lijuan Xu, Xingzhi Xu, Guanghao Xu, Qiu-Han Xu, Siqun Xu, Wen-Xiong Xu, Qianghua Xu, Shuangbing Xu, Wenjun Xu, Jiangang Xu, Yangliu Xu, Jinjian Xu, W M Xu, Shanqiang Xu, Zefeng Xu
articles
Chengliang Zhu, Guosheng Gao, Hui Song +3 more · 2016 · Lipids in health and disease · BioMed Central · added 2026-04-24
Hepatitis B virus (HBV) infection causes lipid metabolism disorders. Apolipoprotein A5 (ApoA5) is a new apolipoprotein family member that plays an important role in the regulation of lipid metabolism. Show more
Hepatitis B virus (HBV) infection causes lipid metabolism disorders. Apolipoprotein A5 (ApoA5) is a new apolipoprotein family member that plays an important role in the regulation of lipid metabolism. The present study was to investigate the impact of HBV on ApoA5 expression and its regulatory mechanism. Reverse transcription polymerase chain reaction (RT-PCR) and western blotting were used to measure ApoA5 mRNA and protein expression in HepG2 and HepG2.2.15 cells. Enzyme-linked immunosorbent assay (ELISA) was used to measure the serum ApoA5 levels in healthy individuals and HBV patients. HBV infectious clone pHBV1.3 or individual plasmids expressing the HBV genome was cotransfected with the ApoA5 promoter pGL3-Apo5-LUC plasmid into HepG2 cells to assess the luciferase activity. RT-PCR and western blotting methods were used to detect Apo5 mRNA and protein expression, respectively. The ApoA5 mRNA and protein expression levels were decreased in HepG2.2.15 cells compared with the control HepG2 cells. The serum ApoA5 levels were 196.4 ± 28.7 μg/L in the healthy individuals and 104.5 ± 18.3 μg/L in the HBV patients, statistical analysis showed that the ApoA5 levels were significantly lower in HBV patients than in the healthy individuals (P < 0.05). pHBV1.3 and its core gene inhibited ApoA5 promoter activity and mRNA and protein expression in HepG2 cells. HBV inhibits ApoA5 expression at both the transcriptional and translational levels through its core gene. Show less
📄 PDF DOI: 10.1186/s12944-016-0340-2
APOA5
Huan Zhang, Xing-Bo Mo, Tan Xu +2 more · 2016 · Personalized medicine · added 2026-04-24
The aim of this study was to identify related genes for low-density lipoprotein cholesterol and evaluate the functional relevance to provide evidences for prioritizing these genes. We performed a gene Show more
The aim of this study was to identify related genes for low-density lipoprotein cholesterol and evaluate the functional relevance to provide evidences for prioritizing these genes. We performed a gene-based association study in about 188,578 individuals. Furthermore, we performed bioinformatics analyses to support the identified genes. A total of 292 genes were found to be significant after Bonferroni correction (p < 2.3 × 10 The evidence obtained from the analyses of this study signified the importance of many genes, for example, LDLR, ABCG5, ABCG8, APOB, HNF1A, PTPN11, APOA5 and MCM6, which were also associated with CAD. The findings might provide more insights into the genetic basis of lipid metabolism and CAD. Show less
no PDF DOI: 10.2217/pme.16.1
APOA5
Kailian Xu, Shiyu Guo, Tianjing Zhao +14 more · 2016 · BioMed research international · added 2026-04-24
Hepatitis E virus- (HEV-) mediated hepatitis has become a global public health problem. An important regulatory protein of HEV, ORF3, influences multiple signal pathways in host cells. In this study, Show more
Hepatitis E virus- (HEV-) mediated hepatitis has become a global public health problem. An important regulatory protein of HEV, ORF3, influences multiple signal pathways in host cells. In this study, to investigate the function of ORF3 from the swine form of HEV (SHEV), high-throughput RNA-Seq-based screening was performed to identify the differentially expressed genes in ORF3-expressing HepG2 cells. The results were validated with quantitative real-time PCR and gene ontology was employed to assign differentially expressed genes to functional categories. The results indicated that, in the established ORF3-expressing HepG2 cells, the mRNA levels of CLDN6, YLPM1, APOC3, NLRP1, SCARA3, FGA, FGG, FGB, and FREM1 were upregulated, whereas the mRNA levels of SLC2A3, DKK1, BPIFB2, and PTGR1 were downregulated. The deregulated expression of CLDN6 and FREM1 might contribute to changes in integral membrane protein and basement membrane protein expression, expression changes for NLRP1 might affect the apoptosis of HepG2 cells, and the altered expression of APOC3, SCARA3, and DKK1 may affect lipid metabolism in HepG2 cells. In conclusion, ORF3 plays a functional role in virus-cell interactions by affecting the expression of integral membrane protein and basement membrane proteins and by altering the process of apoptosis and lipid metabolism in host cells. These findings provide important insight into the pathogenic mechanism of HEV. Show less
📄 PDF DOI: 10.1155/2016/1648030
APOC3
Xiao-Lin Li, Jian-Qing Sui, Lin-Lin Lu +5 more · 2016 · Lipids in health and disease · BioMed Central · added 2026-04-24
Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease which represents a wide spectrum of hepatic damage. Several studies have reported that NAFLD is a strong independent risk fa Show more
Non-alcoholic fatty liver disease (NAFLD) is a common chronic liver disease which represents a wide spectrum of hepatic damage. Several studies have reported that NAFLD is a strong independent risk factor for coronary artery disease (CAD). And patients with NAFLD are at higher risk and suggested undergoperiodic cardiovascular risk assessment. Cardiovascular disease (CVD) is responsible for the main cause of death in patients with NAFLD, and is mostly influenced by genetic factors. Both NAFLD and CAD are heterogeneous disease. Common pathways involved in the pathogenesis of NAFLD and CAD includes insulin resistance (IR), atherogenic dyslipidemia, subclinical inflammation, oxidative stress, etc. Genomic characteristics of these two diseases have been widely studied, further research about the association of these two diseases draws attention. The gene polymorphisms of adiponectin-encoding gene (ADIPOQ), leptin receptor (LEPR), apolipoprotein C3 (APOC3), peroxisome proliferator-activated receptors (PPAR), sterol regulatory elementbinding proteins (SREBP), transmembrane 6 superfamily member 2 (TM6SF2), microsomal triglyceride transfer protein (MTTP), tumor necrosis factors-alpha (TNF-α) and manganese superoxide dismutase (MnSOD) have been reported to be related to NAFLD and CAD. In this review, we aimed to provide an overview of recent insights into the genetic basis of NAFLD and CAD. Show less
📄 PDF DOI: 10.1186/s12944-016-0221-8
APOC3
Wenhui Wang, Lei Xu, Pengyu Liu +7 more · 2016 · Neoplasia (New York, N.Y.) · Elsevier · added 2026-04-24
Aberrant activation of Wnt/β-catenin signaling plays a key role in the onset and development of hepatocellular carcinomas (HCC), with about half of them acquiring mutations in either CTNNB1 or AXIN1. Show more
Aberrant activation of Wnt/β-catenin signaling plays a key role in the onset and development of hepatocellular carcinomas (HCC), with about half of them acquiring mutations in either CTNNB1 or AXIN1. However, it remains unclear whether these mutations impose sufficient β-catenin signaling or require upstream Wnt ligand activation for sustaining optimal growth, as previously suggested for colorectal cancers. Using a panel of nine HCC cell lines, we show that siRNA-mediated knockdown of β-catenin impairs growth of all these lines. Blocking Wnt secretion, by either treatment with the IWP12 porcupine inhibitor or knockdown of WLS, reduces growth of most of the lines. Unexpectedly, interfering with Wnt secretion does not clearly affect the level of β-catenin signaling in the majority of lines, suggesting that other mechanisms underlie the growth-suppressive effect. However, IWP12 treatment did not induce autophagy or endoplasmic reticulum (ER) stress, which may have resulted from the accumulation of Wnt ligands within the ER. Similar results were observed for colorectal cancer cell lines used for comparison in various assays. These results suggest that most colorectal and liver cancers with mutations in components of the β-catenin degradation complex do not strongly rely on extracellular Wnt ligand exposure to support optimal growth. In addition, our results also suggest that blocking Wnt secretion may aid in tumor suppression through alternative routes currently unappreciated. Show less
📄 PDF DOI: 10.1016/j.neo.2016.10.004
AXIN1
Xiao-Qin He, Yue-Qiang Song, Rui Liu +10 more · 2016 · PloS one · PLOS · added 2026-04-24
Axin-1, a negative regulator of Wnt signaling, is a versatile scaffold protein involved in centrosome separation and spindle assembly in mitosis, but its function in mammalian oogenesis remains unknow Show more
Axin-1, a negative regulator of Wnt signaling, is a versatile scaffold protein involved in centrosome separation and spindle assembly in mitosis, but its function in mammalian oogenesis remains unknown. Here we examined the localization and function of Axin-1 during meiotic maturation in mouse oocytes. Immunofluorescence analysis showed that Axin-1 was localized around the spindle. Knockdown of the Axin1 gene by microinjection of specific short interfering (si)RNA into the oocyte cytoplasm resulted in severely defective spindles, misaligned chromosomes, failure of first polar body (PB1) extrusion, and impaired pronuclear formation. However, supplementing the culture medium with the Wnt pathway activator LiCl improved spindle morphology and pronuclear formation. Downregulation of Axin1 gene expression also impaired the spindle pole localization of γ-tubulin/Nek9 and resulted in retention of the spindle assembly checkpoint protein BubR1 at kinetochores after 8.5 h of culture. Our results suggest that Axin-1 is critical for spindle organization and cell cycle progression during meiotic maturation in mouse oocytes. Show less
📄 PDF DOI: 10.1371/journal.pone.0157197
AXIN1
W-B Li, J Zhou, L Xu +3 more · 2016 · Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme · added 2026-04-24
Papillary thyroid carcinoma (PTC) is the most common type of thyroid carcinoma, and our understanding of its pathogenesis is incomplete. To elucidate the mechanisms underlying such progression and ide Show more
Papillary thyroid carcinoma (PTC) is the most common type of thyroid carcinoma, and our understanding of its pathogenesis is incomplete. To elucidate the mechanisms underlying such progression and identify novel diagnostic markers, we aimed to discover the underlying gene associated with PTC. Integrated analysis of microarray datasets was performed to identify differentially expressed genes (DEGs) between PTCs and normal tissues. GO enrichment analysis and KEGG pathway enrichment analysis were then performed to uncover the functions of DEGs. Furthermore, the protein-protein interaction (PPI) network of DEGs was constructed. Five GEO datasets were obtained. Totally, 154 DEGs across the studies were identified, including 26 upregulated and 128 downregulated DEGs. In the PPI network, MLLT1, DLG2, and EFEMP1 were the hub proteins, in which DLG2 and EFEMP1 were involved in tumor progression. Among the top 10 up- and downregulated genes, the dysregulation genes of TPO, CDH16, and MPPED2 may be closely related to the tumorigenesis of PTC. By integrated analysis of multiple gene expression profiles, we propose that the dysregulation genes of TPO and MPPED2 will be the promising diagnostic markers for PTCs. Show less
no PDF DOI: 10.1055/s-0035-1569289
DLG2
Rong Rong, Hui Yang, Liangqun Rong +6 more · 2016 · Neurotoxicology · Elsevier · added 2026-04-24
Postsynaptic density protein-93 (PSD-93) is enriched in the postsynaptic density and is involved in N-methyl-d-aspartate receptor (NMDAR) triggered neurotoxicity through PSD-93/NMDAR/nNOS signaling pa Show more
Postsynaptic density protein-93 (PSD-93) is enriched in the postsynaptic density and is involved in N-methyl-d-aspartate receptor (NMDAR) triggered neurotoxicity through PSD-93/NMDAR/nNOS signaling pathway. In the present study, we found that PSD-93 deficiency reduced infarcted volume and neurological deficits induced by transient middle cerebral artery occlusion (tMCAO) in the mice. To identify novel targets of PSD-93 related neurotoxicity, we applied isobaric tags for relative and absolute quantitative (iTRAQ) labeling and combined this labeling with on-line two-dimensional LC/MS/MS technology to elucidate the changes in protein expression in PSD-93 knockout mice following tMCAO. The proteomic data set consisted of 1892 proteins. Compared to control group, differences in expression levels in ischemic group >1.5-fold and <0.66-fold were considered as differential expression. A total of 104 unique proteins with differential abundance levels were identified, among which 17 proteins were selected for further validation. Gene ontology analysis using UniProt database revealed that these differentially expressed proteins are involved in diverse function such as synaptic transmission, neuronal neurotransmitter and ion transport, modification of organelle membrane components. Moreover, network analysis revealed that the interacting proteins were involved in the transport of synaptic vesicles, the integrity of synaptic membranes and the activation of the ionotropic glutamate receptors NMDAR1 and NMDAR2B. Finally, RT-PCR and Western blot analysis showed that SynGAP, syntaxin-1A, protein kinase C β, and voltage-dependent L-type calcium channels were inhibited by ischemia-reperfusion. Identification of these proteins provides valuable clues to elucidate the mechanisms underlying the actions of PSD-93 in ischemia-reperfusion induced neurotoxicity. Show less
no PDF DOI: 10.1016/j.neuro.2015.12.005
DLG2
Orly Dym, Wanling Song, Clifford Felder +8 more · 2016 · Protein science : a publication of the Protein Society · Wiley · added 2026-04-24
Structure-based drug design utilizes apoprotein or complex structures retrieved from the PDB. >57% of crystallographic PDB entries were obtained with polyethylene glycols (PEGs) as precipitant and/or Show more
Structure-based drug design utilizes apoprotein or complex structures retrieved from the PDB. >57% of crystallographic PDB entries were obtained with polyethylene glycols (PEGs) as precipitant and/or as cryoprotectant, but <6% of these report presence of individual ethyleneglycol oligomers. We report a case in which ethyleneglycol oligomers' presence in a crystal structure markedly affected the bound ligand's position. Specifically, we compared the positions of methylene blue and decamethonium in acetylcholinesterase complexes obtained using isomorphous crystals precipitated with PEG200 or ammonium sulfate. The ligands' positions within the active-site gorge in complexes obtained using PEG200 are influenced by presence of ethyleneglycol oligomers in both cases bound to W84 at the gorge's bottom, preventing interaction of the ligand's proximal quaternary group with its indole. Consequently, both ligands are ∼3.0Å further up the gorge than in complexes obtained using crystals precipitated with ammonium sulfate, in which the quaternary groups make direct π-cation interactions with the indole. These findings have implications for structure-based drug design, since data for ligand-protein complexes with polyethylene glycol as precipitant may not reflect the ligand's position in its absence, and could result in selecting incorrect drug discovery leads. Docking methylene blue into the structure obtained with PEG200, but omitting the ethyleneglycols, yields results agreeing poorly with the crystal structure; excellent agreement is obtained if they are included. Many proteins display features in which precipitants might lodge. It will be important to investigate presence of precipitants in published crystal structures, and whether it has resulted in misinterpreting electron density maps, adversely affecting drug design. Show less
no PDF DOI: 10.1002/pro.2923
DYM
Peng Xia, Haikun Xu, Qingyang Shi +1 more · 2016 · Oncology letters · added 2026-04-24
Multiple osteochondroma (MO), also known as multiple hereditary exostoses, is an autosomal dominant skeletal disorder with characteristic multiple cartilage-capped tumours (osteochondromas or exostose Show more
Multiple osteochondroma (MO), also known as multiple hereditary exostoses, is an autosomal dominant skeletal disorder with characteristic multiple cartilage-capped tumours (osteochondromas or exostoses) growing outward from the metaphyseal region of the long tubular bones. Mutations in exostosin glycosyltransferase 1 ( Show less
📄 PDF DOI: 10.3892/ol.2015.3844
EXT1
Hong Li, Zheng Ma, Lijuan Jia +9 more · 2016 · Scientific reports · Nature · added 2026-04-24
Laying performance is an important economic trait in hens, and this physiological process is largely influenced by the liver function. The livers of hens at 20- and 30-week-old stages were investigate Show more
Laying performance is an important economic trait in hens, and this physiological process is largely influenced by the liver function. The livers of hens at 20- and 30-week-old stages were investigated using the next generation sequencing to identify the differences of microRNA expression profiles. Compared with the 20-week-old hens, 67 down- and 13 up-regulated microRNAs were verified to be significant differentially expressed (false discovery rate, FDR ≤ 0.05) (SDE) in the 30-week-old. We also identified 13 down- and 6 up-regulated novel differentially expressed (DE) microRNAs. miR-22-3p and miR-146b-5p, which exhibit critical roles in mammalian lipid metabolism, showed the most abundant expression and the highest fold-change, respectively. A total of 648 potential target genes of the SDE microRNAs were identified through an integrated analysis of microRNAs and the DE genes obtained in previous RNA-sequencing, including FADS1, FADS2, ELOVL6 and ACSL5, which are critical lipid metabolism-related regulators. Bioinformatic analyses revealed that target genes were mainly enriched in lipid-related metabolism processes. This work provides the first study of the expression patterns of hepatic microRNAs between 20- and 30-week old hens. The findings may serve as a fundamental resource for understanding the detailed functions of microRNAs in the molecular regulatory systems of lipid metabolism. Show less
📄 PDF DOI: 10.1038/srep31766
FADS1
Wen-li Song, Yu Tian, Xian-e Wang +7 more · 2016 · Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · added 2026-04-24
To investigate the potential association between FADS1 rs174537 polymorphism and serum proteins in patients with aggressive periodontitis, which may provide benefits for diagnosis and treatment of agg Show more
To investigate the potential association between FADS1 rs174537 polymorphism and serum proteins in patients with aggressive periodontitis, which may provide benefits for diagnosis and treatment of aggressive periodontitis. A total of 353 patients with aggressive periodontitis (group AgP) and 125 matched controls (group HP) were recruited in the study. Genotyping of FADS1 rs174537 and serum biochemical indexes were tested at the study's start. The relationships between the levels of TP, GLB, ALB, A/G and genotyping were analyzed. (1) The detection rate of allele G in group AgP was higher than that in group HP(68.1% vs. 61.2%, P=0.046,OR=1.35,95% CI 1.00-1.83); the detection rate of genotype GG in group AgP was higher than in group HP(45.5% vs. 34.4%,P=0.029, OR=1.60, 95% CI 1.05-2.44). (2) In group AgP, the patients with GG genotype exhibited significantly lower TP, GLB than the patients with GT+TT genotype [(77.08 ± 7.88) g/L vs. (79.00 ± 4.66) g/L, P=0.007; (28.17 ± 7.63) g/L vs.(29.88 ± 3.49) g/L,P=0.007) and the higher A/G(1.72 ± 0.22 vs.1.67 ± 0.22, P=0.040), but there was no significant difference in ALB between the patients with GG genotype and the patients with GT+TT genotype. In group HP, there were no significant differences in TP, GLB, A/G and ALB between individuals with genotype GT+TT and with genotype GG. (3)Compared with individuals with genotype GT+TT in group HP, the AgP patients with genotype GT+TT exhibited significantly higher TP, GLB [(79.00 ± 4.66) g/L vs. (75.20 ± 4.53) g/L, P<0.01; (29.88 ± 3.49) g/L vs.(26.55 ± 2.94) g/L, P<0.01) and the lower A/G(1.67 ± 0.22 vs. 1.88 ± 0.30, P<0.01), but there was no significant difference in ALB. There were no significant differences in TP, GLB, A/G and ALB the between the AgP patients with genotype GG and the healthy subjects with the same genotype either. FADS1 rs174537 polymorphism is associated with aggressive periodontitis. The patients with genotype GG in group AgP had relatively lower TP,GLB and higher A/G. Genotype GG might be a risk indicator for aggressive periodontitis by reducing host defense capability and contributing to inflammatory response in the occurrence and development of aggressive periodontitis. Show less
no PDF
FADS1
Haiying Chen, Hongli Yang, Chong Xu +8 more · 2016 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Pulmonary arterial hypertension (PAH) is associated with sustained vasoconstriction, inflammation and suppressed apoptosis of smooth muscle cells. Our previous studies have found that rat bone marrow- Show more
Pulmonary arterial hypertension (PAH) is associated with sustained vasoconstriction, inflammation and suppressed apoptosis of smooth muscle cells. Our previous studies have found that rat bone marrow-derived mesenchymal stem cells (rBMSCs) transduced with a mutant caveolin-1(F92A-Cav1) could enhance endothelial nitric oxide synthase (eNOS) activity and improve pulmonary vascular remodeling, but the potential mechanism is not yet fully explored. The present study was to investigate the gene expression profile upon rBMSCs/F92A-Cav1delivered to PAH rat to evaluate the role of F92A-Cav1 in its regulation. PAH was induced with monocrotaline (MCT, 60mg/kg) prior to delivery of lentiviral vector transduced rBMSCs expressing Cav1 or F92A-Cav1. Gene expression profiling was performed using Rat Signal Transduction PathwayFinder array. The expression changes of 84 key genes representing 10 signal transduction pathways in rat following rBMSCs/F92A-Cav1 treatment was examined. Screening with the Rat Signal Transduction PathwayFinder R rBMSCs/F92A-Cav1 inhibits inflammation and cell proliferation by regulating signaling pathways that related to inflammation, proliferation, cell cycle and oxidative stress. Show less
no PDF DOI: 10.1016/j.biopha.2016.06.028
HEY2
Nan Zhu, Mo Chen, Rowena Eng +13 more · 2016 · The Journal of clinical investigation · added 2026-04-24
Self-renewal is a hallmark of both hematopoietic stem cells (HSCs) and leukemia stem cells (LSCs); therefore, the identification of mechanisms that are required for LSC, but not HSC, function could pr Show more
Self-renewal is a hallmark of both hematopoietic stem cells (HSCs) and leukemia stem cells (LSCs); therefore, the identification of mechanisms that are required for LSC, but not HSC, function could provide therapeutic opportunities that are more effective and less toxic than current treatments. Here, we employed an in vivo shRNA screen and identified jumonji domain-containing protein JMJD1C as an important driver of MLL-AF9 leukemia. Using a conditional mouse model, we showed that loss of JMJD1C substantially decreased LSC frequency and caused differentiation of MLL-AF9- and homeobox A9-driven (HOXA9-driven) leukemias. We determined that JMJD1C directly interacts with HOXA9 and modulates a HOXA9-controlled gene-expression program. In contrast, loss of JMJD1C led to only minor defects in blood homeostasis and modest effects on HSC self-renewal. Together, these data establish JMJD1C as an important mediator of MLL-AF9- and HOXA9-driven LSC function that is largely dispensable for HSC function. Show less
no PDF DOI: 10.1172/JCI82978
JMJD1C
Shuang Li, Kaiqi Mo, Hong Tian +10 more · 2016 · Cell & bioscience · BioMed Central · added 2026-04-24
Leiomodin proteins, Lmod1, Lmod2 and Lmod3, are key regulators of the thin filament length in muscles. While Lmod1 is specifically expressed in smooth muscles, both Lmod2 and Lmod3 are expressed in st Show more
Leiomodin proteins, Lmod1, Lmod2 and Lmod3, are key regulators of the thin filament length in muscles. While Lmod1 is specifically expressed in smooth muscles, both Lmod2 and Lmod3 are expressed in striated muscles including both cardiac and skeletal muscles. We and others have previously shown that Lmod3 mainly function in skeletal muscles and the mutant mice display disorganized sarcomere. Lmod2 protein has been found to act as an actin filament nucleator in both cell-free assays and in cultured rat and chicken cardiomyocytes. To better understand the function of Lmod2 in vivo, we have identified and characterized a piggyBac (PB) insertional mouse mutant. Our analysis revealed that the PB transposon inserts in the first exon of the Lmod2 gene and severely disrupts its expression. We found that Lmod2 (PB/PB) mice exhibit typical dilated cardiomyopathy (DCM) with ventricular arrhythmias and postnatal lethality. Electron microscope reveals that the Lmod2 (PB/PB) hearts carry disordered sarcomere, disarrayed thin filaments, and distorted intercalated discs (ICDs). Those ICDs display not only decreased convolutions, but also reduced electron-dense staining, indicating less ICDs component proteins in Lmod2 (PB/PB) hearts. Consistent with the phenotype, the expression of the ICD component genes, β-catenin and Connexin43, are down-regulated. Taken together, our data reveal that Lmod2 is required in heart thin filaments for integrity of sarcomere and ICD and deficient mice exhibit DCM with ventricular arrhythmias and postnatal lethality. The Lmod2 (PB/PB) mutant offers a valuable resource for interrogation of pathogenesis and development of therapeutics for DCM. Show less
📄 PDF DOI: 10.1186/s13578-016-0101-y
LMOD1
Wenxiu Ning, Yanan Yu, Honglin Xu +5 more · 2016 · Developmental cell · Elsevier · added 2026-04-24
For adaptation to complex cellular functions, dynamic cytoskeletal networks are required. There are two major components of the cytoskeleton, microtubules and actin filaments, which form an intricate Show more
For adaptation to complex cellular functions, dynamic cytoskeletal networks are required. There are two major components of the cytoskeleton, microtubules and actin filaments, which form an intricate network maintaining an exquisite cooperation to build the physical basis for their cellular function. However, little is known about the molecular mechanism underlying their synergism. Here, we show that in Caco2 epithelial cells, noncentrosomal microtubules crosstalk with F-actin through their minus ends and contribute to the regulation of focal adhesion size and cell migration. We demonstrate that ACF7, a member of the spectraplakin family of cytoskeletal crosslinking proteins, interacts with Nezha (also called CAMSAP3) at the minus ends of noncentrosomal microtubules and anchors them to actin filaments. Those noncentrosomal microtubules cooperate with actin filaments through retrograde flow to keep their length and orientation perpendicular to the cell edge as well as regulate focal adhesion size and cell migration. Show less
no PDF DOI: 10.1016/j.devcel.2016.09.003
MACF1
Gu Jing, Junqin Chen, Guanlan Xu +1 more · 2016 · Molecular metabolism · Elsevier · added 2026-04-24
Carbohydrate-response element-binding protein (ChREBP) is the major transcription factor conferring glucose-induced gene expression in pancreatic islets, liver and adipose tissue. Recently, a novel Ch Show more
Carbohydrate-response element-binding protein (ChREBP) is the major transcription factor conferring glucose-induced gene expression in pancreatic islets, liver and adipose tissue. Recently, a novel ChREBP isoform, ChREBP-β, was identified in adipose tissue and found to be also expressed in islets and involved in glucose-induced beta cell proliferation. However, the physiological function of this less abundant β-isoform in the islet, and in diabetes, is largely unknown. The aims of the present study, therefore, were to determine how diabetes affects ChREBP-β and elucidate its physiological role in pancreatic beta cells. Non-obese diabetic and obese, diabetic ob/ob mice were used as models of T1D and T2D and human islets and the rat INS-1 beta cell line were exposed to low/high glucose and used for ChREBP isoform-specific gain-and-loss-of-function experiments. Changes in ChREBP-β and ChREBP-α were assessed by qRT-PCR, immunoblotting, promoter luciferase, and chromatin immunoprecipitation studies. Expression of the ChREBP-β isoform was highly induced in diabetes and by glucose, whereas ChREBP-α was downregulated. Interestingly, ChREBP-β gain-of-function experiments further revealed that it was ChREBP-β that downregulated ChREBP-α through a negative feedback loop. On the other hand, ChREBP-β knockdown led to unabated ChREBP-α activity and glucose-induced expression of target genes, suggesting that one of the physiological roles of this novel β-isoform is to help keep glucose-induced and ChREBP-α-mediated gene expression under control. We have identified a previously unappreciated negative feedback loop by which glucose-induced ChREBP-β downregulates ChREBP-α-signaling providing new insight into the physiological role of islet ChREBP-β and into the regulation of glucose-induced gene expression. Show less
📄 PDF DOI: 10.1016/j.molmet.2016.09.010
MLXIPL
Bo Zhang, Peng Shang, Yangzong Qiangba +3 more · 2016 · Lipids in health and disease · BioMed Central · added 2026-04-24
Nuclear receptor subfamily 1, group H, member 3 (NR1H3, an alias for Liver X receptor α, LXRα) is a member of the LXR nuclear receptor super family and is an important regulator of lipid and fatty aci Show more
Nuclear receptor subfamily 1, group H, member 3 (NR1H3, an alias for Liver X receptor α, LXRα) is a member of the LXR nuclear receptor super family and is an important regulator of lipid and fatty acid accumulation in the liver, adipose and skeletal muscle. In this study, single-nucleotide polymorphisms (SNPs) from six populations of pig (Sus scrofa) were screened by PCR-sequencing and genotyped, and its association with backfat thickness was analyzed in a population of New Huai line (NHP, n = 117). In addition, quantitative real-time PCR and western blot were used to measure expression of NR1H3 in the liver tissue, backfat and longissimus dorsi muscle of DSP (n = 10), TP (n = 10) and YY (n = 10) pigs. Three SNPs (exon2-C105T, exon2-G106C, and exon5-A201C) were screened and exon5-A201C was identified; the genotype frequencies were significantly different between indigenous and introduced breeds. The CC genotype was associated with higher backfat thickness than the AA and AC genotypes in the NYP. NR1H3 mRNA and protein expression were higher in the liver and longissimus dorsi of DSP and TP than in those of YY. This increased NR1H3 expression might be associated with higher lipid deposition. NR1H3 expression in the backfat of YY was not lower than that in DSP or TP, which might because NR1H3 has an alternative regulatory function for lipid metabolism in the subcutaneous fat of pigs. Our results suggest that allele A of the exon5-A201C in NR1H3 may promote a reduction in backfat thickness, and differences in NR1H3 expression may be associated with differences in lipid deposition capacity among pigs. Show less
no PDF DOI: 10.1186/s12944-016-0269-5
NR1H3
H F Xu, J Luo, W S Zhao +4 more · 2016 · Journal of dairy science · added 2026-04-24
Sterol regulatory element binding protein 1 (SREBP1; gene name SREBF1) is known to be the master regulator of lipid homeostasis in mammals, including milk fat synthesis. The major role of SREBP1 in co Show more
Sterol regulatory element binding protein 1 (SREBP1; gene name SREBF1) is known to be the master regulator of lipid homeostasis in mammals, including milk fat synthesis. The major role of SREBP1 in controlling milk fat synthesis has been demonstrated in bovine mammary epithelial cells. Except for a demonstrated role in controlling the expression of FASN, a regulatory role of SREBP1 on milk fat synthesis is very likely, but has not yet been demonstrated in goat mammary epithelial cells (GMEC). To explore the regulatory function of SREBP1 on de novo fatty acids and triacylglycerol synthesis in GMEC, we overexpressed the mature form of SREBP1 (active NH2-terminal fragment) in GMEC using a recombinant adenovirus vector (Ad-nSREBP1), with Ad-GFP (recombinant adenovirus of green fluorescent protein) as control, and infected the GMEC for 48 h. In infected cells, we assessed the expression of 20 genes related to milk fat synthesis using real time-quantitative PCR, the protein abundance of SREBP1 and FASN by Western blot, the production of triacylglycerol, and the fatty acid profile. Expression of SREBF1 was modest in mammary compared with the other tissues in dairy goats but its expression increased approximately 30-fold from pregnancy to lactation. The overexpression of the mature form of SREBP1 was confirmed by >200-fold higher expression of SREBF1 in Ad-nSREBP1 compared with Ad-GFP. We observed no changes in amount of the precursor form of SREBP1 protein but a >10-fold increase of the mature form of SREBP1 protein with Ad-nSREBP1. Compared with Ad-GFP cells (control), Ad-nSREBP1 cells had a significant increase in expression of genes related to long-chain fatty acid activation (ACSL1), transport (FABP3), desaturation (SCD1), de novo synthesis of fatty acids (ACSS2, ACLY, IDH1, ACACA, FASN, and ELOVL6), and transcriptional factors (NR1H3 and PPARG). We observed a >10-fold increase in expression of INSIG1 but SCAP was downregulated by Ad-nSREBP1. Among genes related to milk fat synthesis and lipid droplet formation, only LPIN1 and DGAT1 were upregulated by Ad-nSREBP1. Compared with the Ad-GFP, the cellular triacylglycerol content was higher and the percentage of C16:0 and C18:1 increased, whereas that of C16:1, C18:0, and C18:2 decreased in Ad-nSREBP1 cells. Overall, the data provide strong support for a central role of SREBP1 in the regulation of milk fat synthesis in goat mammary cells. Show less
no PDF DOI: 10.3168/jds.2015-9736
NR1H3
Chen-Xu Ge, Rong Yu, Min-Xuan Xu +4 more · 2016 · European journal of pharmacology · Elsevier · added 2026-04-24
Betaine has been proven effective in treating nonalcoholic fatty liver disease (NAFLD) in animal models, however, its molecular mechanisms remain elusive. The aims of this study were to explore the me Show more
Betaine has been proven effective in treating nonalcoholic fatty liver disease (NAFLD) in animal models, however, its molecular mechanisms remain elusive. The aims of this study were to explore the mechanisms mediating the anti-inflammatory and anti-lipogenic actions of betaine in fructose-fed rats. In this study, betaine improved insulin resistance, reduced body weight gain and serum lipid levels, and prevented hepatic lipid accumulation in fructose-fed rats. It up-regulated hepatic expression of liver X receptor-alpha (LXRα) and peroxisome proliferator-activated receptor-alpha (PPARα), with the attenuation of the changes of their target genes, including hepatic carnitine palmitoyl transferase (CPT) 1α, glycosylphosphatidylinositol anchored high density lipoprotein binding protein 1, apolipoprotein B, sterol regulatory element-binding protein 1c and adipocyte differentiation-related protein, involved in fatty acid oxidation and lipid storage in these model rats. Furthermore, betaine alleviated ER stress and inhibited acetyl-CoA carboxylase α, CPT II, stearoyl-CoA desaturase 1 and fatty acid synthase expression involved in fatty acid synthesis in the liver of fructose-fed rats. Betaine suppressed hepatic gluconeogenesis in fructose-fed rats by moderating protein kinase B -forkhead box protein O1 pathway, as well as p38 mitogen-activated protein kinase and mammalian target of rapamycin activity. Moreover, betaine inhibited hepatic nuclear factor kappa B /nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3 inflammasome activation-mediated inflammation in this animal model. These results demonstrated that betaine ameliorated hepatic lipid accumulation, gluconeogenesis, and inflammation through restoring LXRα and PPARα expression and alleviating ER stress in fructose-fed rats. This study provides the potential mechanisms of betaine involved in the treatment of NAFLD. Show less
no PDF DOI: 10.1016/j.ejphar.2015.11.043
NR1H3
Ya-Xiong Pan, Zhi Luo, Mei-Qin Zhuo +4 more · 2016 · Comparative biochemistry and physiology. Part B, Biochemistry & molecular biology · Elsevier · added 2026-04-24
Liver X Receptor (LXR) plays a pivotal role in metabolic regulation in mammals, but little is known about its function in fish. In this study, two lxra isoforms, namely lxra1 and lxra2, were isolated. Show more
Liver X Receptor (LXR) plays a pivotal role in metabolic regulation in mammals, but little is known about its function in fish. In this study, two lxra isoforms, namely lxra1 and lxra2, were isolated. Their molecular characterization, tissues distribution and transcriptional regulation by insulin in vivo and in vitro were determined. lxrα1 and lxrα2 cDNA covered 2775bp and 3093bp, encoding 446 and 515 amino acid residues, respectively. The protein sequence of yellow catfish lxra included characteristic feature of mammalian lxrs, including the DNA binding (DBD) (containing P-box), ligand binding (LBD) and activation function-2 (AF-2) domains, D-box, and D (hinge) region. Phylogenetic analysis revealed that yellow catfish lxra grouped with lxra of zebrafish but was distant from those of medaka and stickleback. lxrβ clades was absent in teleosts in phylogenetic tree, proving gene loss of lxrβ in teleosts during evolution. The two lxra isoforms (lxra1 and lxra2) mRNAs were ubiquitously expressed in 11 tested tissues. Compared to lxra2, lxra1 mRNA expression was predominant in all tested tissues. The expression of lxrα1 was the highest in testis, then in liver, and the lowest in other tissues. lxrα2 expression was the highest in liver, then in testis, and the lowest in ovary. Insulin significantly stimulated the mRNA expression of lxra1 in vitro and in vivo, while the expression of lxra2 remained unchanged after insulin treatment. The present study serves to increase our understanding into the function of lxra in fish. Show less
no PDF DOI: 10.1016/j.cbpb.2015.08.013
NR1H3
Jia Hu, Ge Li, Liujing Qu +10 more · 2016 · Cell death & disease · Nature · added 2026-04-24
The formation of the autophagosome is controlled by an orderly action of ATG proteins. However, how these proteins are recruited to autophagic membranes remain poorly clarified. In this study, we have Show more
The formation of the autophagosome is controlled by an orderly action of ATG proteins. However, how these proteins are recruited to autophagic membranes remain poorly clarified. In this study, we have provided a line of evidence confirming that EVA1A (eva-1 homolog A)/TMEM166 (transmembrane protein 166) is associated with autophagosomal membrane development. This notion is based on dotted EVA1A structures that colocalize with ZFYVE1, ATG9, LC3B, ATG16L1, ATG5, STX17, RAB7 and LAMP1, which represent different stages of the autophagic process. It is required for autophagosome formation as this phenotype was significantly decreased in EVA1A-silenced cells and Eva1a KO MEFs. EVA1A-induced autophagy is independent of the BECN1-PIK3C3 (phosphatidylinositol 3-kinase, catalytic subunit type 3) complex but requires ATG7 activity and the ATG12-ATG5/ATG16L1 complex. Here, we present a molecular mechanism by which EVA1A interacts with the WD repeats of ATG16L1 through its C-terminal and promotes ATG12-ATG5/ATG16L1 complex recruitment to the autophagic membrane and enhances the formation of the autophagosome. We also found that both autophagic and apoptotic mechanisms contributed to EVA1A-induced cell death while inhibition of autophagy and apoptosis attenuated EVA1A-induced cell death. Overall, these findings provide a comprehensive view to our understanding of the pathways involved in the role of EVA1A in autophagy and programmed cell death. Show less
no PDF DOI: 10.1038/cddis.2016.230
PIK3C3
Xiaochuan Liu, Aoli Wang, Xiaofei Liang +23 more · 2016 · Oncotarget · Impact Journals · added 2026-04-24
PI3Kδ has been found to be over-expressed in B-Cell-related malignancies. Despite the clinical success of the first selective PI3Kδ inhibitor, CAL-101, inhibition of PI3Kδ itself did not show too much Show more
PI3Kδ has been found to be over-expressed in B-Cell-related malignancies. Despite the clinical success of the first selective PI3Kδ inhibitor, CAL-101, inhibition of PI3Kδ itself did not show too much cytotoxic efficacy against cancer cells. One possible reason is that PI3Kδ inhibition induced autophagy that protects the cells from death. Since class III PI3K isoform PIK3C3/Vps34 participates in autophagy initiation and progression, we predicted that a PI3Kδ and Vps34 dual inhibitor might improve the anti-proliferative activity observed for PI3Kδ-targeted inhibitors. We discovered a highly potent ATP-competitive PI3Kδ/Vps34 dual inhibitor, PI3KD/V-IN-01, which displayed 10-1500 fold selectivity over other PI3K isoforms and did not inhibit any other kinases in the kinome. In cells, PI3KD/V-IN-01 showed 30-300 fold selectivity between PI3Kδ and other class I PI3K isoforms. PI3KD/V-IN-01 exhibited better anti-proliferative activity against AML, CLL and Burkitt lymphoma cell lines than known selective PI3Kδ and Vps34 inhibitors. Interestingly, we observed FLT3-ITD AML cells are more sensitive to PI3KD/V-IN-01 than the FLT3 wt expressing cells. In AML cell inoculated xenograft mouse model, PI3KD/V-IN-01 exhibited dose-dependent anti-tumor growth efficacies. These results suggest that dual inhibition of PI3Kδ and Vps34 might be a useful approach to improve the PI3Kδ inhibitor's anti-tumor efficacy. Show less
no PDF DOI: 10.18632/oncotarget.10650
PIK3C3
Deyi Zhang, Wei Wang, Xiujie Sun +8 more · 2016 · Autophagy · Taylor & Francis · added 2026-04-24
Macroautophagy/autophagy is a conserved catabolic process that recycles cytoplasmic material during low energy conditions. BECN1/Beclin1 (Beclin 1, autophagy related) is an essential protein for funct Show more
Macroautophagy/autophagy is a conserved catabolic process that recycles cytoplasmic material during low energy conditions. BECN1/Beclin1 (Beclin 1, autophagy related) is an essential protein for function of the class 3 phosphatidylinositol 3-kinase (PtdIns3K) complexes that play a key role in autophagy nucleation and elongation. Here, we show that AMP-activated protein kinase (AMPK) regulates autophagy by phosphorylating BECN1 at Thr388. Phosphorylation of BECN1 is required for autophagy upon glucose withdrawal. BECN1(T388A), a phosphorylation defective mutant, suppresses autophagy through decreasing the interaction between PIK3C3 (phosphatidylinositol 3-kinase catalytic subunit type 3) and ATG14 (autophagy-related 14). The BECN1(T388A) mutant has a higher affinity for BCL2 than its wild-type counterpart; the mutant is more prone to dimer formation. Conversely, a BECN1 phosphorylation mimic mutant, T388D, has stronger binding to PIK3C3 and ATG14, and promotes higher autophagy activity than the wild-type control. These findings uncover a novel mechanism of autophagy regulation. Show less
no PDF DOI: 10.1080/15548627.2016.1185576
PIK3C3
Daqian Xu, Zheng Wang, Yan Chen · 2016 · Autophagy · Taylor & Francis · added 2026-04-24
As a central node of the macroautophagy/autophagy process, the BECN1/Beclin1-PIK3C3/VPS34 complex participates in different steps of autophagy by interacting with multiple molecules. The ATG14-associa Show more
As a central node of the macroautophagy/autophagy process, the BECN1/Beclin1-PIK3C3/VPS34 complex participates in different steps of autophagy by interacting with multiple molecules. The ATG14-associated PIK3C3 complex is involved in autophagy initiation, whereas the UVRAG-associated complex mainly modulates autophagosome maturation and endosome fusion. However, the molecular mechanism that coordinates the sequential execution of the autophagy program remains unknown. We have recently discovered that a Golgi-resident protein, PAQR3, regulates autophagy initiation as it preferentially facilitates the formation of the ATG14-linked PIK3C3 complex instead of the UVRAG-associated complex. Upon glucose starvation, AMPK directly phosphorylates T32 of PAQR3, which is crucial for the activation of the ATG14-associated class III PtdIns3K. Furthermore, Paqr3-deleted mice have a deficiency in exercise-induced autophagy as well as behavioral disorders. Thus, this work not only uncovers the regulatory mechanism of PAQR3 on autophagy initiation, but also provides a potential candidate therapeutic target for neurodegenerative diseases. Show less
no PDF DOI: 10.1080/15548627.2016.1163459
PIK3C3
Bruce A Pfeffer, Libin Xu, Ned A Porter +2 more · 2016 · Experimental eye research · Elsevier · added 2026-04-24
Tissue accumulation of 7-dehydrocholesterol (7DHC) is a hallmark of Smith-Lemli-Opitz Syndrome (SLOS), a human inborn error of the cholesterol (CHOL) synthesis pathway. Retinal 7DHC-derived oxysterol Show more
Tissue accumulation of 7-dehydrocholesterol (7DHC) is a hallmark of Smith-Lemli-Opitz Syndrome (SLOS), a human inborn error of the cholesterol (CHOL) synthesis pathway. Retinal 7DHC-derived oxysterol formation occurs in the AY9944-induced rat model of SLOS, which exhibits a retinal degeneration characterized by selective loss of photoreceptors and associated functional deficits, Müller cell hypertrophy, and engorgement of the retinal pigment epithelium (RPE) with phagocytic inclusions. We evaluated the relative effects of four 7DHC-derived oxysterols on three retina-derived cell types in culture, with respect to changes in cellular morphology and viability. 661W (photoreceptor-derived) cells, rMC-1 (Müller glia-derived) cells, and normal diploid monkey RPE (mRPE) cells were incubated for 24 h with dose ranges of either 7-ketocholesterol (7kCHOL), 5,9-endoperoxy-cholest-7-en-3β,6α-diol (EPCD), 3β,5α-dihydroxycholest-7-en-6-one (DHCEO), or 4β-hydroxy-7-dehydrocholesterol (4HDHC); CHOL served as a negative control (same dose range), along with appropriate vehicle controls, while staurosporine (Stsp) was used as a positive cytotoxic control. For 661W cells, the rank order of oxysterol potency was: EPCD > 7kCHOL >> DHCEO > 4HDHC ≈ CHOL. EC50 values were higher for confluent vs. subconfluent cultures. 661W cells exhibited much higher sensitivity to EPCD and 7kCHOL than either rMC-1 or mRPE cells, with the latter being the most robust when challenged, either at confluence or in sub-confluent cultures. When tested on rMC-1 and mRPE cells, EPCD was again an order of magnitude more potent than 7kCHOL in compromising cellular viability. Hence, 7DHC-derived oxysterols elicit differential cytotoxicity that is dose-, cell type-, and cell density-dependent. These results are consistent with the observed progressive, photoreceptor-specific retinal degeneration in the rat SLOS model, and support the hypothesis that 7DHC-derived oxysterols are causally linked to that retinal degeneration as well as to SLOS. Show less
no PDF DOI: 10.1016/j.exer.2016.01.016
RMC1
Rui Shao, Jia Liu, Guang Yan +10 more · 2016 · Cell research · Nature · added 2026-04-24
Craniofacial anomalies (CFAs) characterized by birth defects of skull and facial bones are the most frequent congenital disease. Genomic analysis has identified multiple genes responsible for CFAs; ho Show more
Craniofacial anomalies (CFAs) characterized by birth defects of skull and facial bones are the most frequent congenital disease. Genomic analysis has identified multiple genes responsible for CFAs; however, the underlying genetic mechanisms for the majority of CFAs remain largely unclear. Our previous study revealed that the Wwp2 E3 ubiquitin ligase facilitates craniofacial development in part through inducing monoubiquitination and activation of the paired-like homeobox transcription factor, Goosecoid (Gsc). Here we report that Gsc is also ubiquitinated and activated by the APC(Cdh1) E3 ubiquitin ligase, leading to transcriptional activation of various Gsc target genes crucial for craniofacial development. Consistenly, neural crest-specific Cdh1-knockout mice display similar bone malformation as Wwp2-deficient mice in the craniofacial region, characterized by a domed skull, a short snout and a twisted nasal bone. Mechanistically, like Wwp2-deficient mice, mice with Cdh1 deficiency in neural crest cells exhibit reduced Gsc/Sox6 transcriptional activities. Simultaneous deletion of Cdh1 and Wwp2 results in a more severe craniofacial defect compared with single gene deletion, suggesting a synergistic augmentation of Gsc activity by these two E3 ubiquitin ligases. Hence, our study reveals a novel role for Cdh1 in craniofacial development through promoting APC-dependent non-proteolytic ubiquitination and activation of Gsc. Show less
no PDF DOI: 10.1038/cr.2016.51
WWP2
Sheng-Qian Xu, Yong Qin, De-Biao Pan +6 more · 2016 · Molecular medicine reports · added 2026-04-24
Primary liver cancer is one of the most common and aggressive human malignancies worldwide. As numerous studies have revealed that WW domain containing E3 Ub‑protein ligase 2 (WWP2) exerts cancer‑spec Show more
Primary liver cancer is one of the most common and aggressive human malignancies worldwide. As numerous studies have revealed that WW domain containing E3 Ub‑protein ligase 2 (WWP2) exerts cancer‑specific functions, the present study assessed the role of WWP2 in liver cancer. WWP2 was revealed to be significantly overexpressed in liver cancer tissues compared with paired normal tissues at the mRNA as well as at the protein level. Furthermore, small interfering RNA-mediated WWP2 knockdown in liver cancer cell lines was demonstrated to inhibit cell proliferation, cause cell cycle arrested in G1 phase and to induce apoptosis as revealed by a Cell Counting Kit-8 assay and flow cytometric analysis. In addition, western blot analysis revealed that WWP2 knockdown significantly increased the expression of apoptosis-associated markers caspase‑7, caspase‑8 and B-cell lymphoma 2 (Bcl-2)-associated X in liver cancer cell lines, while Bcl‑2 was significantly decreased. In conclusion, the present study suggested that WWP2 may exert important functions in the over‑proliferation and evasion of apoptosis of liver cancer, likely through regulating the expression of apoptosis-associated markers. Furthermore, WWP2 may represent a novel diagnostic marker and molecular therapeutic target for liver cancer. Show less
no PDF DOI: 10.3892/mmr.2016.4771
WWP2
Yong Qin, Sheng-Qian Xu, De-Biao Pan +6 more · 2016 · Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · Springer · added 2026-04-24
The role and clinical implication of the WWP2 E3 ubiquitin ligase in liver cancer are poorly understood. In the current study, we investigated the expression level of WWP2 and its functions in cell ad Show more
The role and clinical implication of the WWP2 E3 ubiquitin ligase in liver cancer are poorly understood. In the current study, we investigated the expression level of WWP2 and its functions in cell adhesion, invasion, and migration in liver cancer. We used real-time PCR to detect the expression of WWP2 in liver cancer and adjacent samples from the People's Hospital of Lishui and also analyzed The Cancer Genome Atlas (TCGA) RNA-seq data by bioinformatics. Migration and invasion were detected by transwell analysis. We detected a strong WWP2 expression in tumor tissues of the People's Hospital of Lishui, and the survival rate was significantly higher in patients with lower WWP2-expressing tumors. WWP2 small hairpin RNA (shRNA) lentivirus stably infected cells (shWWP2), Huh7, showed slower growth speed compared with scramble control-infected cells in a xenograft mouse model. Knockdown of WWP2 Huh7 and BEL-7404 cells demonstrated a reduction in adhesion, invasion, and migration. Gene set enrichment analysis (GSEA) showed that WWP2 is positively correlated to cancer-related pathways including the chemokine signaling pathway. WWP2 also regulated MMP-9, caspase-9, CXCR3, and CCR5 expression in liver cancer cells. In addition, knockdown of CXCR3 and CCR5 significantly inhibited cell proliferation, adhesion, invasion, and migration in Huh7 and BEL-7404 cells. Our data suggest that targeting of WWP2 may be a therapeutic strategy for liver cancer treatment. Show less
no PDF DOI: 10.1007/s13277-015-4547-z
WWP2
Peng He, Lin Sun, Dan Zhu +7 more · 2016 · International journal of molecular sciences · MDPI · added 2026-04-24
Endogenous bornavirus-like nucleoprotein elements (EBLNs) have been discovered in the genomes of various animals including humans, whose functions have been seldom studied. To explore the biological f Show more
Endogenous bornavirus-like nucleoprotein elements (EBLNs) have been discovered in the genomes of various animals including humans, whose functions have been seldom studied. To explore the biological functions of human EBLNs, we constructed a lentiviral vector expressing a short-hairpin RNA against human EBLN1, which successfully inhibited EBLN1 expression by above 80% in infected human oligodendroglia cells (OL cells). We found that EBLN1 silencing suppressed cell proliferation, induced G2/M phase arrest, and promoted apoptosis in OL cells. Gene expression profiling demonstrated that 1067 genes were up-regulated, and 2004 were down-regulated after EBLN1 silencing. The top 10 most upregulated genes were PI3, RND3, BLZF1, SOD2, EPGN, SBSN, INSIG1, OSMR, CREB3L2, and MSMO1, and the top 10 most-downregulated genes were KRTAP2-4, FLRT2, DIDO1, FAT4, ESCO2, ZNF804A, SUV420H1, ZC3H4, YAE1D1, and NCOA5. Pathway analysis revealed that these differentially expressed genes were mainly involved in pathways related to the cell cycle, the mitogen-activated protein kinase pathway, p53 signaling, and apoptosis. The gene expression profiles were validated by using quantitative reverse transcription polymerase chain reaction (RT-PCR) for detecting these 20 most-changed genes. Three genes closely related to glioma, RND3, OSMR, and CREB3L2, were significantly upregulated and might be the key factors in EBLN1 regulating the proliferation and apoptosis of OL cells. This study provides evidence that EBLN1 plays a key role in regulating cell life and death, thereby opening several avenues of investigation regarding EBLN1 in the future. Show less
no PDF DOI: 10.3390/ijms17040435
ZC3H4