šŸ‘¤ Hong-Sheng Chen

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2981
Articles
1996
Name variants
Also published as: Wen-Chau Chen, Jingzhao Chen, Dexi Chen, Haifeng Chen, Chung-Jen Chen, Bo-Jun Chen, Gao-Feng Chen, Changyan Chen, Weiwei Chen, Fenghua Chen, Xiaojiang S Chen, Xiu-Juan Chen, Jung-Sheng Chen, Xiao-Ying Chen, Chong Chen, Junyang Chen, YiPing Chen, Xiaohan Chen, Li-Zhen Chen, Jiujiu Chen, Shin-Wen Chen, Guangping Chen, Dapeng Chen, Ximei Chen, Renwei Chen, Jianfei Chen, Yulu Chen, Yu-Chi Chen, Jia-De Chen, Rongfang Chen, She Chen, Zetian Chen, Tianran Chen, Emily Chen, Baoxiang Chen, Ya-Chun Chen, Dongxue Chen, Wei-xian Chen, Danmei Chen, Ceshi Chen, Junling Chen, Xia Chen, Daoyuan Chen, Yongbin Chen, Chi-Yu Chen, Dian Chen, Xiuxiu Chen, Bo-Fang Chen, Fangyuan Chen, Jin-An Chen, Xiaojuan Chen, Zhuohui Chen, Junqi Chen, Lina Chen, Fangfang Chen, Hanwen Chen, Yilei Chen, Po-Han Chen, Xiaoxiang Chen, Jimei Chen, Guochong Chen, Yanyun Chen, Yifei Chen, Cheng-Yu Chen, Zi-Jiang Chen, Jiayuan Chen, Miaoran Chen, Junshi Chen, Yu-Ying Chen, Pengxiang Chen, Hui-Ru Chen, Yupeng Chen, Ida Y-D Chen, Xiaofeng Chen, Qiqi Chen, Shengnan Chen, Mao-Yuan Chen, Lizhu Chen, Weichan Chen, Xiang-Bin Chen, Hanxi Chen, Sulian Chen, Zoe Chen, Minghong Chen, Chi Chen, Yananlan Chen, Yanzhu Chen, Shiyi Chen, Ze-Xu Chen, Zhiheng Chen, Jia-Mei Chen, Shuqin Chen, Yi-Hau Chen, Danni Chen, Donglong Chen, Xiaomeng Chen, Yidong Chen, Keyu Chen, Hao Chen, Junmin Chen, Wenlong Chen, Yufei Chen, Wanbiao Chen, Mo Chen, Youjia Chen, Xin-Jie Chen, Lanlan Chen, Huapu Chen, Shuaiyin Chen, Jing-Hsien Chen, Hengsheng Chen, Bing-Bing Chen, Fa-Xi Chen, Zhiqiang Chen, Ming-Huang Chen, Liangkai Chen, Li-Jhen Chen, Zhi-Hao Chen, Yinzhu Chen, Guanghong Chen, Gaozhi Chen, Jiakang Chen, Yongke Chen, Guangquan Chen, Li-Hsien Chen, Yiduo Chen, Zongnan Chen, Jing Chen, Meilan Chen, Jin-Shuen Chen, Huanxiong Chen, Yann-Jang Chen, Guozhong Chen, Yu-Bing Chen, Xiaobin Chen, Catherine Qing Chen, Youhu Chen, Hui Mei Chen, L F Chen, Haiyang Chen, Ruilin Chen, Peng Chen, Kailang Chen, Chao Chen, Suipeng Chen, Zemin Chen, Jianlin Chen, Shang-Chih Chen, Yen-Hsieh Chen, Jia-Lin Chen, Chaojin Chen, Minglang Chen, Xiatian Chen, Zeyu Chen, Kang Chen, Mei-Chi Chen, Jihai Chen, Pei Chen, Defang Chen, Zhao Chen, Tianrui Chen, Tingtao Chen, Caressa Chen, Jiwei Chen, Xuerong Chen, Yizhi Chen, XueShu Chen, Mingyue Chen, Huichao Chen, Chun-Chi Chen, Xiaomin Chen, Hetian Chen, Yuxing Chen, Jie-Hua Chen, Chuck T Chen, Yuanjia Chen, Hong Chen, Jianxiong Chen, S Chen, D M Chen, Jiao-Jiao Chen, Gongbo Chen, Xufeng Chen, Xiao-Jun Chen, Harn-Shen Chen, Qiu Jing Chen, Tai-Heng Chen, Pei-Lung Chen, Kaifu Chen, Huang-Pin Chen, Tse-Wei Chen, Yanrong Chen, Xianfeng Chen, Chung-Yung Chen, Yuelei Chen, Qili Chen, Guanren Chen, TsungYen Chen, Yu-Si Chen, Junsheng Chen, Min-Jie Chen, Xin-Ming Chen, Jiabing Chen, Sili Chen, Qinying Chen, Yue Chen, Lin Chen, Xiaoli Chen, Zhuo Chen, Aoshuang Chen, Junyu Chen, Chunji Chen, Yian Chen, Shanchun Chen, Shuen-Ei Chen, Canrong Chen, Shih-Jen Chen, Yaowu Chen, Han Chen, Yih-Chieh Chen, Wei-Cong Chen, Yanfen Chen, Tao Chen, Huangtao Chen, Jingyi Chen, Sheng Chen, Jing-Wen Chen, Gao Chen, Lei-Lei Chen, Kecai Chen, Yao-Shen Chen, Haiyu Chen, W Chen, Xiaona Chen, Cheng-Sheng Chen, X R Chen, Shuangfeng Chen, Jingyuan Chen, Xinyuan Chen, Huanhuan Chen, Mengling Chen, Liang-Kung Chen, Ming-Huei Chen, Hongshan Chen, Cuncun Chen, Qingchao Chen, Yanzi Chen, Lingli Chen, Shiqian Chen, Liangwan Chen, Lexia Chen, Wei-Ting Chen, Zhencong Chen, Tzy-Yen Chen, Mingcong Chen, Honglei Chen, Yuyan Chen, Huachen Chen, Yu Chen, Li-Juan Chen, Aozhou Chen, Xinlin Chen, Wai Chen, Dake Chen, Bo-Sheng Chen, Meilin Chen, Kequan Chen, Hong Yang Chen, Yan Chen, Bowei Chen, Silian Chen, Jian Chen, Yongmei Chen, Ling Chen, Jinbo Chen, Yingxi Chen, Ge Chen, Max Jl Chen, C Z Chen, Weitao Chen, Xiaole L Chen, Yonglu Chen, Shih-Pin Chen, Jiani Chen, Huiru Chen, San-Yuan Chen, Bing Chen, Xiao-ping Chen, Feiyue Chen, Shuchun Chen, Zhaolin Chen, Qianxue Chen, Xiaoyang Chen, Bowang Chen, Yinghui Chen, Ting-Ting Chen, Xiao-Yang Chen, Chi-Yuan Chen, Zhi-zhe Chen, Ting-Tao Chen, Xiaoyun Chen, Min-Hsuan Chen, Kuan-Ting Chen, Yongheng Chen, Wenhao Chen, Shengyu Chen, Kai Chen, Yueh-Peng Chen, Guangju Chen, Minghua Chen, Qingmei Chen, Song-Mei Chen, Limei Chen, Yuqi Chen, Yuyang Chen, Yang-Ching Chen, Yu-Gen Chen, Peizhan Chen, Rucheng Chen, Jin-Xia Chen, Szu-Chieh Chen, Xiaojun Chen, Jialing Chen, Heni Chen, Yi Feng Chen, Sen Chen, Alice Ye A Chen, Wen Chen, Han-Chun Chen, Dawei Chen, Fangli Chen, Ai-Qun Chen, Zhaojun Chen, Gong Chen, Yishan Chen, Zhijing Chen, Qiuxuan Chen, Miao-Der Chen, Fengwu Chen, Weijie Chen, Weixin Chen, Mei-Ling Chen, Hung-Po Chen, Rui-Pei Chen, Nian-Ping Chen, Tielin Chen, Canyu Chen, Xiaotao Chen, Nan Chen, C Chen, Juanjuan Chen, Xinan Chen, Jiaping Chen, Xiao-Lin Chen, Jianping Chen, Yayun Chen, Le Qi Chen, Jen-Sue Chen, Mechi Chen, Miao-Yu Chen, Zhou Chen, Szu-Han Chen, Zhen Bouman Chen, Baihua Chen, Qingao Chen, Shao-Ke Chen, Feng Chen, Jiawen Chen, Lianmin Chen, Sifeng Chen, Mengxia Chen, Xueli Chen, Can Chen, Yibo Chen, Zinan Chen, Lei-Chin Chen, Carol Chen, Yanlin Chen, Zihang Chen, Zaozao Chen, Haiqin Chen, Lu Hua Chen, Zhiyuan Chen, Meiyu Chen, Du-Qun Chen, Keying Chen, Naifei Chen, Peixian Chen, Jin-Ran Chen, Yijun Chen, Yulin Chen, Fumei Chen, Zhanfei Chen, Zhe-Yu Chen, Xin-Qi Chen, Valerie Chen, Ru Chen, Mengqing Chen, Runsheng Chen, Tong Chen, Tan-Zhou Chen, Suet Nee Chen, Cuicui Chen, Yifan Chen, Tian Chen, XiangFan Chen, Lingyi Chen, Hsiao-Yun Chen, Kenneth L Chen, Ni Chen, Huishan Chen, Fang-Yu Chen, Ken Chen, Yongshen Chen, Qiong Chen, Mingfeng Chen, Shoudeng Chen, Qiao Chen, Qian Chen, Yuebing Chen, Xuehua Chen, Chang-Lan Chen, Min-Hu Chen, Hongbin Chen, Jingming Chen, Qing Chen, Yu-Fan Chen, Hao-Zhu Chen, Yunjia Chen, Zhongjian Chen, Mingyi Chen, Qianping Chen, Huaxin Chen, Dong-Mei Chen, Peize Chen, Leijie Chen, Ming-Yu Chen, Jiaxuan Chen, Xiao-chun Chen, Wei-Min Chen, Ruisen Chen, Xuanwei Chen, Guiquan Chen, Minyan Chen, Feng-Ling Chen, Yili Chen, Alvin Chen, Xiaodong Chen, Bohong Chen, Chih-Ping Chen, Xuanjing Chen, Shuhui Chen, Ming-Hong Chen, Tzu-Yu Chen, Brian Chen, Bowen Chen, Kai-En Chen, Szu-Chia Chen, Guangchun Chen, Fang Chen, Chuyu Chen, Haotian Chen, Xiaoting Chen, Shaoliang Chen, Chun-Houh Chen, Shali Chen, Yu-Cheng Chen, Zhijun Chen, B Chen, Yuan Chen, Zhanglin Chen, Chaoran Chen, Xing-Long Chen, Zhinan Chen, Yu-Hui Chen, Yuquan Chen, Andrew Chen, Fengming Chen, Guangyong Chen, Jun Chen, Wenshuo Chen, Yi-Guang Chen, Jing-Yuan Chen, Kuangyang Chen, Mingyang Chen, Shaofei Chen, Weicong Chen, Gonghai Chen, Di-Long Chen, Limin Chen, Jishun Chen, Yunfei Chen, Caihong Chen, Tongsheng Chen, Ligang Chen, Wenqin Chen, Shiyu Chen, Xiaoyong Chen, Christina Y Chen, Yushan Chen, Ginny I Chen, Guo-Jun Chen, Xianzhen Chen, Wanling Chen, Kuan-Jen Chen, Maorong Chen, Kaijian Chen, Erqu Chen, Shen Chen, Quan Chen, Zian Chen, Yi-Lin Chen, Juei-Suei Chen, Yi-Ting Chen, Huaiyong Chen, Minjian Chen, Qianzhi Chen, Jiahao Chen, Xikun Chen, Juan-Juan Chen, Xiaobo Chen, Tianzhen Chen, Ziming Chen, Qianbo Chen, Jindong Chen, Jiu-Chiuan Chen, Yinwei Chen, Carl Pc Chen, Li-Hsin Chen, Jenny Chen, Ruoyan Chen, Yanqiu Chen, Yen-Fu Chen, Haiyan Chen, Zhebin Chen, Si Chen, Jian-Qiao Chen, Yang-Yang Chen, Ningning Chen, Zhifeng Chen, Zhenyi Chen, Hangang Chen, Zihe Chen, Mengdi Chen, Zhichuan Chen, Xu Chen, Huixi Chen, Weitian Chen, Bao-Sheng Chen, Tien-Hsing Chen, Junchen Chen, Yan-yan Chen, Xiangning Chen, Sijia Chen, Xinyan Chen, Kuan-Yu Chen, Qunxiang Chen, Guangliang Chen, Bing-Huei Chen, Fei Xavier Chen, Zhangcheng Chen, Qianming Chen, Xianze Chen, Yanhua Chen, Qinghao Chen, Yanting Chen, Sijuan Chen, Chen-Mei Chen, Qiankun Chen, Jianan Chen, Rong Chen, Xiankai Chen, Kaina Chen, Gui-Hai Chen, Y-D Ida Chen, Quanjiao Chen, Shuang Chen, Lichang Chen, Xinyi Chen, Yong-Jun Chen, Zhaoli Chen, Chunnuan Chen, Jui-Chang Chen, Zhiang Chen, Weirui Chen, Zhenguo Chen, Jennifer F Chen, Zhiguo Chen, Kunmei Chen, Huan-Xin Chen, Mengyan Chen, Dongrong Chen, Siyue Chen, Xianyue Chen, Chien-Lun Chen, YiChung Chen, Guang Chen, Quanwei Chen, Zongming E Chen, Ting-Huan Chen, Michael C Chen, Jinli Chen, Beth L Chen, Yuh-Lien Chen, Peihong Chen, Qiaoling Chen, Jiale Chen, Shufeng Chen, Xiaowan Chen, Xian-Kai Chen, Ling-Yan Chen, Yen-Ling Chen, Guiying Chen, Guangyi Chen, Yuling Chen, Xiangqiu Chen, Haiquan Chen, Cuie Chen, Gui-Lai Chen, R Chen, Heng-Yu Chen, Yongxun Chen, Fuxiang Chen, Mingmei Chen, Hua-Pu Chen, Yulong Chen, Zhitao Chen, Guohua Chen, Cheng-Yi Chen, Hongxu Chen, Yuanhao Chen, Qichen Chen, Hualin Chen, Guo-Rong Chen, Rongsheng Chen, Xuesong Chen, Wei-Fei Chen, Bao-Bao Chen, Anqi Chen, Yi-Han Chen, Ying-Jung Chen, Jinhuang Chen, Guochao Chen, Lei Chen, S N Chen, Songfeng Chen, Chenyang Chen, Xing Chen, Letian Chen, Meng Xuan Chen, Xiang-Mei Chen, Xiaoyan Chen, Yi-Heng Chen, D F Chen, Bang Chen, Jiaxu Chen, Wei Chen, Sihui Chen, Shu-Hua Chen, I-M Chen, Xuxin Chen, Zhangxin Chen, Jin Chen, Yin-Huai Chen, Wuyan Chen, Bingqing Chen, Bao-Fu Chen, Zhen-Hua Chen, Dan Chen, Zhe-Sheng Chen, Ranyun Chen, Wanyin Chen, Xueyan Chen, Xiaoyu Chen, Tai-Tzung Chen, Xiaofang Chen, Yongxing Chen, Yanghui Chen, Hekai Chen, Yuanwei Chen, Liang Chen, Hui-Jye Chen, Chengchun Chen, Han-Bin Chen, Shuaijie Chen, Yibing Chen, Kehui Chen, Shuhai Chen, Xueling Chen, Ying-Jie Chen, Qingxing Chen, Fang-Zhi Chen, Mei-Hua Chen, Yutong Chen, Lixian Chen, Alex Chen, Qiuhong Chen, Qiuxia Chen, Liping Chen, Hou-Tsung Chen, Zhanghua Chen, Chun-Fa Chen, Chian-Feng Chen, Benjamin P C Chen, Yewei Chen, Mu-Hong Chen, Jianshan Chen, Xiaguang Chen, Meiling Chen, Heng Chen, Ying-Hsiang Chen, Longyun Chen, Dengpeng Chen, Jichong Chen, Shixuan Chen, Liaobin Chen, Everett H Chen, ZhuoYu Chen, Qihui Chen, Zhiyong Chen, Nuan Chen, Hongmei Chen, Guiqian Chen, Yan Q Chen, Fengling Chen, Hung-Chang Chen, Zhenghong Chen, Chengsheng Chen, Hegang Chen, Huei-Yan Chen, Liutao Chen, Meng-Lin Chen, Xi Chen, Qing-Juan Chen, Linna Chen, Xiaojing Chen, Lang Chen, Gengsheng Chen, Fengrong Chen, Weilun Chen, Shi Chen, Wan-Yi Chen, On Chen, Yufeng Chen, Benjamin Chen, Hui-Zhao Chen, Bo-Rui Chen, Kangyong Chen, Ruixiang Chen, Weiyong Chen, Ning-Hung Chen, Meng-Ping Chen, Huimei Chen, Ying Chen, Kang-Hua Chen, Pei-zhan Chen, Liujun Chen, Hanqing Chen, Chengchuan Chen, Guojun Chen, Yongfa Chen, Li Chen, Mingling Chen, Jacinda Chen, Jinlun Chen, Kun Chen, Yi Chen, Chiung Mei Chen, Shaotao Chen, Tianhong Chen, Chanjuan Chen, Yuhao Chen, Huizhi Chen, Chung-Hsing Chen, Qiuchi Chen, Haoting Chen, Luzhu Chen, Huanhua Chen, Long Chen, Jiang-hua Chen, Kai-Yang Chen, Jing-Zhou Chen, Yong-Syuan Chen, Lifang Chen, Ruonan Chen, Meimei Chen, Qingchuan Chen, Liugui Chen, Shaokun Chen, Yi-Yung Chen, Jintian Chen, Xuhui Chen, Dongyan Chen, Huei-Rong Chen, Xianmei Chen, Jinyan Chen, Yuxi Chen, Qingqing Chen, Weibo Chen, Qiwei Chen, Mingxia Chen, Hongmin Chen, Jiahui Chen, Yen-Jen Chen, Zihan Chen, Guozhou Chen, Fei Chen, Zhiting Chen, Denghui Chen, Gary Chen, Hongli Chen, Jack Chen, Zhigang Chen, Lie Chen, Siyuan Chen, Haojie Chen, Qing-Wei Chen, Maochong Chen, Mei-Jie Chen, Haining Chen, Xing-Zhen Chen, Weiqing Chen, Huanchun Chen, C-Y Chen, Tzu-An Chen, Jen-Hau Chen, Xiaojie Chen, Dongquan Chen, Gao B Chen, Daijie Chen, Zixi Chen, Lingfeng Chen, Jiayi Chen, Zan Chen, Shuming Chen, Mei-Hsiu Chen, Xueqin Chen, Huan Chen, Xiaoqing Chen, Hui-Xiong Chen, Ruoying Chen, Deying Chen, Huixian Chen, Zhezhe Chen, Lu Chen, Xiaolong Chen, Si-Yue Chen, Xinwei Chen, Wentao Chen, Yucheng Chen, Jiajing Chen, Allen Menglin Chen, Chixiang Chen, Shiqun Chen, Wenwu Chen, Chin-Chuan Chen, Ningbo Chen, Hsin-Hung Chen, Shenglan Chen, Jia-Feng Chen, Changya Chen, ZhaoHui Chen, Guo Chen, Juhai Chen, Xiao-Quan Chen, Cuimin Chen, Yongshuo Chen, Sai Chen, Fengyang Chen, Siteng Chen, Hualan Chen, Lian Chen, Yuan-Hua Chen, Minjie Chen, Shiyan Chen, Z Chen, Zhengzhi Chen, Jonathan Chen, H Chen, You-Yue Chen, Shu-Gang Chen, Hsuan-Yu Chen, Hongyue Chen, Weiyi Chen, Jiaqi Chen, Chengde Chen, Shufang Chen, Ze-Hui Chen, Xiuping Chen, Zhuojia Chen, Zhouji Chen, Lidian Chen, Yilan Chen, Kuan-Ling Chen, Alon Chen, Zi-Yue Chen, Hongmou Chen, Fang-Zhou Chen, Jianzhou Chen, Wenbiao Chen, Yujie Chen, Zhijian Chen, Zhouqing Chen, Xiuhui Chen, Qingguang Chen, Hanbei Chen, Qianyu Chen, Mengping Chen, Yongqi Chen, Sheng-Yi Chen, Siqi Chen, Yelin Chen, Shirui Chen, Yuan-Tsong Chen, Dongyin Chen, Lingxue Chen, Long-Jiang Chen, Yunshun Chen, Yahong Chen, Yaosheng Chen, Zhonghua Chen, Jingyao Chen, Pei-Yin Chen, Fusheng Chen, Xiaokai Chen, Shuting Chen, Miao-Hsueh Chen, Y-D I Chen, Zijie Chen, Haozhu Chen, Haodong Chen, Xiong Chen, Wenxi Chen, Feng-Jung Chen, Shangwu Chen, Zhiping Chen, Zhang-Yuan Chen, Wentong Chen, Ou Chen, Ruiming Chen, Xiyu Chen, Shuqiu Chen, Xiaoling Chen, Ruimin Chen, Hsiao-Wang Chen, Dongli Chen, Haibo Chen, Yiyun Chen, Luming Chen, Wenting Chen, Chongyang Chen, Qingqiu Chen, Wen-Pin Chen, Yuhui Chen, Lingxia Chen, Jun-Long Chen, Xingyu Chen, Haotai Chen, Bang-dang Chen, Qiuwen Chen, Rui Chen, K C Chen, Zhixuan Chen, Gaoyu Chen, Yitong Chen, Tzu-Ju Chen, Jingqing Chen, Huiqun Chen, Runsen Chen, Michelle Chen, Hanyong Chen, Xiaolin Chen, Ke Chen, Yangchao Chen, Y D I Chen, Jinghua Chen, Jia Wei Chen, Man-Hua Chen, H T Chen, Zheyi Chen, Lihong Chen, Guangyao Chen, Rujun Chen, Ming-Fong Chen, Haiyun Chen, Dexiong Chen, Huiqin Chen, Ching Kit Chen, En-Qiang Chen, Wanjia Chen, Xiangliu Chen, Meiting Chen, Szu-Chi Chen, Yii-der Ida Chen, Jian-Hua Chen, Yanjie Chen, Yingying Chen, Paul Chih-Hsueh Chen, Si-Ru Chen, Mingxing Chen, Rui-Zhen Chen, Changjie Chen, Qu Chen, Yintong Chen, Jingde Chen, Mao Chen, Xinghai Chen, Mei-Chih Chen, Xueqing Chen, Chun-An Chen, Cheng Chen, Ruijing Chen, Huayu Chen, Yunqin Chen, Yan-Gui Chen, Ruibing Chen, Size Chen, Qi-An Chen, Yuan-Zhen Chen, J Chen, Heye Chen, T Chen, Junpeng Chen, Tan-Huan Chen, Shuaijun Chen, Hao Yu Chen, Fahui Chen, Lan Chen, Dong-Yi Chen, Xianqiang Chen, Shi-Sheng Chen, Qiao-Yi Chen, Pei-Chen Chen, Xueying Chen, Yi-Wen Chen, Guohong Chen, Zhiwei Chen, Zuolong Chen, Erfei Chen, Yuqing Chen, Zhenyue Chen, Qiongyun Chen, Jianghua Chen, Yingji Chen, Xiuli Chen, Xiaowei Chen, Hengyu Chen, Sheng-Xi Chen, Haiyi Chen, Shao-Peng Chen, Yi-Ru Chen, Zhaoran Chen, Xiuyan Chen, Jinsong Chen, Sunny Chen, Xiaolan Chen, S-D Chen, Ruofan Chen, Qiujing Chen, Yun Chen, Wei-Cheng Chen, Chun-Wei Chen, Liechun Chen, Lulu Chen, Hsiu-Wen Chen, Yanping Chen, Jiayao Chen, Xuejiao Chen, Guan-Wei Chen, Yusi Chen, Yijiang Chen, Chi-Hua Chen, Qixian Chen, Ziqing Chen, Peiyou Chen, Chunhai Chen, Zheren Chen, Qiuyun Chen, Xiaorong Chen, Chaoqun Chen, Dan-Dan Chen, Xuechun Chen, Yafang Chen, Mystie X Chen, Jina Chen, Wei-Kai Chen, Yule Chen, Bo Chen, Kaili Chen, Junqin Chen, Jia Min Chen, Chen Chen, Guoliang Chen, Xiaonan Chen, Guangjie Chen, Xiao Chen, Jeanne Chen, Danyang Chen, Minjiang Chen, Jiyuan Chen, Zheng-Zhen Chen, Shou-Tung Chen, Ouyang Chen, Xiu Chen, H Q Chen, Peiyu Chen, Yuh-Min Chen, Youmeng Chen, Shuoni Chen, Peiqin Chen, Xinji Chen, Chih-Ta Chen, Shang-Hung Chen, Robert Chen, Suet N Chen, Yun-Tzu Chen, Suming Chen, Ye Chen, Yao Chen, Yi-Fei Chen, Ruixue Chen, Tianhang Chen, Suning Chen, Jingnan Chen, Xiaohong Chen, Kun-Chieh Chen, Tuantuan Chen, Mei Chen, He-Ping Chen, Zhi Bin Chen, Yuewu Chen, Mengying Chen, Po-See Chen, Xue Chen, Jian-Jun Chen, Xiyao Chen, Jeremy J W Chen, Jiemei Chen, Daiwen Chen, Christina Yingxian Chen, Qinian Chen, Chih-Wei Chen, Wensheng Chen, Yingcong Chen, Zhishi Chen, Duo Chen, Jiansu Chen, Keping Chen, Min Chen, Yi-Hui Chen, Yun-Ju Chen, Gaoyang Chen, Renjin Chen, Kui Chen, Shuai-Ming Chen, Hui-Fen Chen, Zi-Yun Chen, Shao-Yu Chen, Meiyang Chen, Jiahua Chen, Zongyou Chen, Yen-Rong Chen, Huaping Chen, Yu-Xin Chen, Bohe Chen, Kehua Chen, Zilin Chen, Zhang-Liang Chen, Ziqi Chen, Yinglian Chen, Hui-Wen Chen, Peipei Chen, Baolin Chen, Zugen Chen, Kangzhen Chen, Yanhan Chen, Sung-Fang Chen, Zheping Chen, Zixuan Chen, Jiajia Chen, Yuanjian Chen, Lili Chen, Xiangli Chen, Ban Chen, Yuewen Chen, X Chen, Yan-Qiong Chen, Chider Chen, Yung-Hsiang Chen, Hanlin Chen, Xiangjun Chen, Haibing Chen, Le Chen, Xuan Chen, Xue-Ying Chen, Zexiao Chen, Chen-Yu Chen, Zhe-Ling Chen, Fan Chen, Hsin-Yi Chen, Feilong Chen, Zilong Chen, Yi-Jen Chen, Zhiyun Chen, Ning Chen, Wenxu Chen, Chuanbing Chen, Yaxi Chen, Yi-Hong Chen, Eleanor Y Chen, Yuexin Chen, Kexin Chen, Shoujun Chen, Yen-Ju Chen, Yu-Chuan Chen, Yen-Teen Chen, Bao-Ying Chen, Xiaopeng Chen, Danli Chen, Katharine Y Chen, Jingli Chen, Qianyi Chen, Zihua Chen, Ya-xi Chen, Xuanxu Chen, Chung-Hung Chen, Yajie Chen, Cindi Chen, Hua Chen, Shuliang Chen, Elizabeth H Chen, Gen-Der Chen, Bingyu Chen, Keyang Chen, Siyu S Chen, Xinpu Chen, Yau-Hung Chen, Hsueh-Fen Chen, Han-Hsiang Chen, Wei Ning Chen, Guopu Chen, Zhujun Chen, Yurong Chen, Yuxian Chen, Wanjun Chen, Qiu-Jing Chen, Qifang Chen, Yuhan Chen, Jingshen Chen, Zhongliang Chen, Ching-Hsuan Chen, Zhaoyao Chen, Yongning Chen, Marcus Y Chen, Ping Chen, Junfei Chen, Yung-Wu Chen, Xueting Chen, Yingchun Chen, Wan-Yan Chen, Yuxin Chen, Yisheng Chen, Chun-Yuan Chen, Yulian Chen, Yan-Jun Chen, Guoxun Chen, Ding Chen, Yu-Fen Chen, Jason A Chen, Shuyi Chen, Cuilan Chen, Ruijuan Chen, Kevin Chen, Xuanmao Chen, Shen-Ming Chen, Ya-Nan Chen, Sean Chen, Zhaowei Chen, Xixi Chen, Yu-Chia Chen, Xuemin Chen, Binlong Chen, Weina Chen, Xuemei Chen, Di Chen, P P Chen, Yubin Chen, Chunhua Chen, Li-Chieh Chen, Ping-Chung Chen, Zhihao Chen, Xinyang Chen, Chan Chen, Yan Jie Chen, Shi-Qing Chen, Ivy Xiaoying Chen, Ying-Cheng Chen, Jia-Shun Chen, Shao-Wei Chen, Aiping Chen, Dexiang Chen, Qianfen Chen, Hongyu Chen, Wei-Kung Chen, Danlei Chen, Hongen Chen, Shipeng Chen, Jake Y Chen, Dongsheng Chen, Chien-Ting Chen, Shouzhen Chen, Hehe Chen, Yu-Tung Chen, Yilin Chen, Joy J Chen, Zhong Chen, Zhenfeng Chen, Zhongzhu Chen, Feiyang Chen, Xingxing Chen, Keyan Chen, Huimin Chen, Guanyu Chen, D. Chen, Dianke Chen, Zhigeng Chen, Sien-Tsong Chen, Yii-Der Chen, Chi-Yun Chen, Beidong Chen, Wu-Xian Chen, Zhihang Chen, Yuanqi Chen, Jianhua Chen, Xian Chen, Xiangding Chen, Jingteng Chen, Shuaiyu Chen, Xue-Mei Chen, Yu-Han Chen, Hongqiao Chen, Weili Chen, Yunzhu Chen, Guo-qing Chen, Miao Chen, Zhi Chen, Junhui Chen, Jing-Xian Chen, Zhiquan Chen, Shuhuang Chen, Shaokang Chen, Irwin Chen, Xiang Chen, Chuo Chen, Siting Chen, Keyuan Chen, Xia-Fei Chen, Zhihai Chen, Yuanyu Chen, Po-Sheng Chen, Qingjiang Chen, Yi-Bing Chen, Rongrong Chen, Katherine C Chen, Shaoxing Chen, Lifen Chen, Luyi Chen, Sisi Chen, Ning-Bo Chen, Yihong Chen, Guanjie Chen, Li-Hua Chen, Xiao-Hui Chen, Ting Chen, Chun-Han Chen, Xuzhuo Chen, Junming Chen, Zheng Chen, Wen-Jie Chen, Bingdi Chen, Jiang Ye Chen, Yanbin Chen, Duoting Chen, Shunyou Chen, Shaohua Chen, Jien-Jiun Chen, Jiaohua Chen, Shaoze Chen, Yifang Chen, Chiqi Chen, Yen-Hao Chen, Rui-Fang Chen, Hung-Sheng Chen, Kuey Chu Chen, Y S Chen, Xijun Chen, Chaoyue Chen, Heng-Sheng Chen, Lianfeng Chen, Yen-Ching Chen, Yuhong Chen, Yixin Chen, Yuanli Chen, Cancan Chen, Yanming Chen, Yajun Chen, Chaoping Chen, F-K Chen, Menglan Chen, Zi-Yang Chen, Yongfang Chen, Hsin-Hong Chen, Hongyan Chen, Chao-Wei Chen, Jijun Chen, Xiaochun Chen, Yazhuo Chen, Zhixin Chen, YongPing Chen, Jui-Yu Chen, Mian-Mian Chen, Liqiang Chen, Y P Chen, D-F Chen, Jinhao Chen, Yanyan Chen, Chang-Zheng Chen, Shao-long Chen, Guoshun Chen, Lo-Yun Chen, Yen-Lin Chen, Bingqian Chen, Dafang Chen, Yi-Chung Chen, Liming Chen, Qiuli Chen, Shuying Chen, Chih-Mei Chen, Renyu Chen, Wei-Hao Chen, Lihua Chen, Hang Chen, Hai-Ning Chen, Hu Chen, Yu-Fu Chen, Yalan Chen, Wan-Tzu Chen, Benjamin Jieming Chen, Yingting Chen, Jiacai Chen, Ning-Yuan Chen, Shuo-Bin Chen, Yu-Ling Chen, Jian-Kang Chen, Hengsan Chen, Yu-Ting Chen, Y Chen, Qingjie Chen, Jiong Chen, Chaoyi Chen, Yunlin Chen, Gang Chen, Hui-Chun Chen, Li-Tzong Chen, Zhangliang Chen, Qiangpu Chen, Xianbo Chen, Jinxuan Chen, Hebing Chen, Ran Chen, Zhehui Chen, Carol X-Q Chen, Yuping Chen, Xiangyu Chen, Xinyu Chen, Qianyun Chen, Junyi Chen, B-S Chen, Zhesheng Chen, Man Chen, Dali Chen, Danyu Chen, Huijiao Chen, Naisong Chen, Qitong Chen, Chueh-Tan Chen, Kai-Ming Chen, Jiarou Chen, Huang Chen, Chunjie Chen, Weiping Chen, Po-Min Chen, Guang-Chao Chen, Danxia Chen, Youran Chen, Chuanzhi Chen, Peng-Cheng Chen, Wen-Tsung Chen, Linxi Chen, Si-guo Chen, Zike Chen, Zhiyu Chen, Wanting Chen, Jiangxia Chen, Wenhua Chen, Roufen Chen, Shi-You Chen, Fang-Pei Chen, Chu Chen, Feifeng Chen, Chunlin Chen, Yunwei Chen, Wenbing Chen, Xuejun Chen, Meizhen Chen, Li Jia Chen, Tianhua Chen, Xiangmei Chen, Kewei Chen, Yuh-Ling Chen, Dejuan Chen, Jiyan Chen, Xinzhuo Chen, Yue-Lai Chen, Hsiao-Jou Cortina Chen, Weiqin Chen, Huey-Miin Chen, Elizabeth Suchi Chen, Kai-Ting Chen, Lizhen Chen, Xiaowen Chen, Chien-Yu Chen, Lingjun Chen, Gonglie Chen, Jiao Chen, Zhuo-Yuan Chen, Wei-Peng Chen, Xiangna Chen, Jiade Chen, Lanmei Chen, Siyu Chen, Kunpeng Chen, Hung-Chi Chen, Jia Chen, Shuwen Chen, Siqin Chen, Zhenlei Chen, Wen-Yi Chen, Si-Yuan Chen, Yidan Chen, Tianfeng Chen, Fu Chen, Leqi Chen, Jiamiao Chen, Shasha Chen, Qingyi Chen, Ben-Kuen Chen, Haitao Chen, Qi Chen, Yihao Chen, Yunfeng Chen, Elizabeth S Chen, Yiming Chen, Youwei Chen, Lichun Chen, Yanfei Chen, Hongxing Chen, Muh-Shy Chen, Yingyu Chen, Weihong Chen, Ming Chen, Kelin Chen, Duan-Yu Chen, Shi-Yi Chen, Shih-Yu Chen, Yanling Chen, Shuanghui Chen, Ya Chen, Yusheng Chen, Yuting Chen, Shiming Chen, Xinqiao Chen, Hongbo Chen, Mien-Cheng Chen, Jiacheng Chen, Herbert Chen, Ji-ling Chen, Sun Chen, Chen-Sheng Chen, Na Chen, Chih-Yi Chen, Wenfang Chen, Yii-Der I Chen, Qinghua Chen, Shuai Chen, Hsi-Hsien Chen, F Chen, Guo-Chong Chen, Zhe Chen, Beijian Chen, Roger Chen, You-Ming Chen, Hongzhi Chen, Zhen-Yu Chen, Xianxiong Chen, Chang Chen, Chujie Chen, Chuannan Chen, Kan Chen, Lu-Biao Chen, Yupei Chen, Qiu-Sheng Chen, Shangduo Chen, Yuan-Yuan Chen, Yundai Chen, Binzhen Chen, Cai-Long Chen, Yen-Chen Chen, Xue-Xin Chen, Yanru Chen, Chunxiu Chen, Yifa Chen, Xingdong Chen, Ruey-Hwa Chen, Shangzhong Chen, Ching-Wen Chen, Danna Chen, Jingjing Chen, Yafei Chen, Dandan Chen, Pei-Yi Chen, Shan Chen, Guanghao Chen, Longqing Chen, Yen-Cheng Chen, Zhanjuan Chen, Jinguo Chen, Zhongxiu Chen, Rui-Min Chen, Shunde Chen, Xun Chen, Jianmin Chen, Linyi Chen, Ying-Ying Chen, Chien-Hsiun Chen, Li-Nan Chen, Yu-Ming Chen, Qianqian Chen, Xue-Yan Chen, Shengdi Chen, Huali Chen, Xinyue Chen, Ching-Yi Chen, Honghai Chen, Baosheng Chen, Pingguo Chen, Yike Chen, Yuxiang Chen, Qing-Hui Chen, Yuanwen Chen, Yongming Chen, Zongzheng Chen, Ruiying Chen, Huafei Chen, Tingen Chen, Zhouliang Chen, Shih-Yin Chen, Shanyuan Chen, Yiyin Chen, Feiyu Chen, Zitao Chen, Constance Chen, Zhoulong Chen, Haide Chen, Jiang Chen, Ray-Jade Chen, Shiuhwei Chen, Chih-Chieh Chen, Chaochao Chen, Lijuan Chen, Qianling Chen, Jian-Min Chen, Xihui Chen, Yuli Chen, Wu-Jun Chen, Diyun Chen, Alice P Chen, Jingxuan Chen, Chiung-Mei Chen, Shibo Chen, M L Chen, Lena W Chen, Xiujuan Chen, Christopher S Chen, Yeh Chen, Xingyong Chen, Feixue Chen, Boyu Chen, Weixian Chen, Tingting Chen, Bosong Chen, Junjie Chen, Han-Min Chen, Szu-Yun Chen, Qingliang Chen, Huatao Chen, Bin Chen, L B Chen, Xuanyi Chen, Chun Chen, Dong Chen, Yinjuan Chen, Jiejian Chen, Lu-Zhu Chen, Alex F Chen, Pei-Chun Chen, Chien-Jen Chen, Y M Chen, Xiao-Chen Chen, Tania Chen, Yang Chen, Yangxin Chen, Mark I-Cheng Chen, Haiming Chen, Shuo Chen, Yong Chen, Hsiao-Tan Chen, Erzhen Chen, Jiaye Chen, Fangyan Chen, Guanzheng Chen, Haoyun Chen, Jiongyu Chen, Baofeng Chen, Yuqin Chen, Juan Chen, Haobo Chen, Shuhong Chen, Fu-Shou Chen, Wei-Yu Chen, Haw-Wen Chen, Feifan Chen, Deqian Chen, Linlin Chen, Xiaoshan Chen, Hui Chen, Wenwen Chen, Yanli Chen, Yuexuan Chen, Xiaoyin Chen, Yen-Chang Chen, Tiantian Chen, Ruiai Chen, Alice Y Chen, Jinglin Chen, Zifan Chen, Wantao Chen, Shanshan Chen, Jianjun Chen, Xiaoyuan Chen, Xuefei Chen, Runfeng Chen, Weisan Chen, Guangnan Chen, Junpan Chen, An Chen, Lankai Chen, Yiding Chen, Tianpeng Chen, Ya-Ting Chen, Lijin Chen, Ching-Yu Chen, Y Eugene Chen, Guanglong Chen, Rongyuan Chen, Yali Chen, Yanan Chen, Liyun Chen, Shuai-Bing Chen, Zhixue Chen, Xiaolu Chen, Xiao-he Chen, Hongxiang Chen, Bing-Feng Chen, Gary K Chen, Xiaohui Chen, Jin-Wu Chen, Qiuxiang Chen, Huaqiu Chen, X Steven Chen, Xiaoqian Chen, Chao-Jung Chen, Zhengjun Chen, Yong-Ping Chen, Zhelin Chen, Xuancai Chen, Yi-Hsuan Chen, Daiyu Chen, Gui Mei Chen, Hongqi Chen, Zhizhong Chen, Mengting Chen, Guofang Chen, Jian-Guo Chen, Hou-Zao Chen, Yuyao Chen, Lixia Chen, Yu-Yang Chen, Zhengling Chen, Qinfen Chen, Jiajun Chen, Xue-Qing Chen, Shenghui Chen, Yii-Derr Chen, Linbo Chen, Yanjing Chen, S Pl Chen, Chi-Long Chen, Jiawei Chen, Rong-Hua Chen, Shu-Fen Chen, Yu-San Chen, Ying-Lan Chen, Xiaofen Chen, Weican Chen, Xin Chen, Yumei Chen, Ruohong Chen, You-Xin Chen, Tse-Ching Chen, Xiancheng Chen, Yu-Pei Chen, Weihao Chen, Baojiu Chen, Haimin Chen, Zhihong Chen, Jion Chen, Yi-Chun Chen, Ping-Kun Chen, Wan Jun Chen, Willian Tzu-Liang Chen, Qingshi Chen, Ren-Hui Chen, Weihua Chen, Hanjing Chen, Guihao Chen, Xiao-Qing Chen, Po-Yu Chen, Liangsheng Chen, Fred K Chen, Haiying Chen, Tzu-Chieh Chen, Wei J Chen, Zhen Chen, Shu Chen, Jie Chen, Chung-Hao Chen, Zi-Qing Chen, Yu-Xia Chen, Weijia Chen, Ming-Han Chen, Yaodong Chen, Yong-Zhong Chen, Jinquan Chen, Haijiao Chen, Tom Wei-Wu Chen, Jingzhou Chen, Ya-Peng Chen, Shiwei Chen, Xiqun Chen, Yingjie Chen, Wenjun Chen, Linjie Chen, Hung-Chun Chen, Xiaoping Chen, Haoran Chen, Qiang Chen, Sy-Jou Chen, Y U Chen, Weineng Chen, Li-hong Chen, Cheng-Fong Chen, Yajing Chen, Song Chen, Qiaoli Chen, Yiru Chen, Guang-Yu Chen, Zhi-bin Chen, Deyu Chen, C Y Chen, Junhong Chen, Yonghui Chen, Chaoli Chen, Syue-Ting Chen, Sufang Chen, I-Chun Chen, Shangsi Chen, Xiao-Wei Chen, Qinsheng Chen, Zhao-Xia Chen, Yun-Yu Chen, Chi-Chien Chen, Wenxing Chen, Meng Chen, Zixin Chen, Jianhui Chen, Yuanyuan Chen, Jiamin Chen, Wei-Wei Chen, Xingyi Chen, Yen-Ni Chen, Danxiang Chen, Po-Ju Chen, Mei-Ru Chen, Ziying Chen, E S Chen, Tailai Chen, Qingyang Chen, Miaomiao Chen, Shuntai Chen, Wei-Lun Chen, Xuanli Chen, Zhengwei Chen, Fengju Chen, Chengwei Chen, Xujia Chen, Faye H Chen, Xiaoxiao Chen, Shengpan Chen, Shin-Yu Chen, Shiyao Chen, Yuan-Shen Chen, Shengzhi Chen, Shaohong Chen, Ching-Jung Chen, Zihao Chen, Kaiquan Chen, Duo-Xue Chen, Xiaochang Chen, Siping Chen, Rongfeng Chen, Jiali Chen, Hsin-Han Chen, Xiaohua Chen, Delong Chen, Wenjie Chen, Huijia Chen, Yunn-Yi Chen, Siyi Chen, Zhengming Chen, Chu-Huang Chen, Zhuchu Chen, Yuanbin Chen, Jinyong Chen, Yunzhong Chen, Pan Chen, Bihong T Chen, Yunyun Chen, Shujuan Chen, M Chen, Mulan Chen, Jiaren Chen, Zechuan Chen, Jian-Qing Chen, Wei-Hui Chen, Lifeng Chen, Geng Chen, Yan-Ming Chen, Zhijian J Chen, Honghui Chen, Wenfan Chen, Zhongbo Chen, Rouxi Chen, Ye-Guang Chen, Zhimin Chen, Tzu-Ting Chen, Xiaolei Chen, Ziyuan Chen, Shilan Chen, Ruiqi Chen, Xiameng Chen, Huijie Chen, Jiankui Chen, Yuhang Chen, Jianzhong Chen, Wen-Qi Chen, Fa Chen, Shu-Jen Chen, Li-Mien Chen, Xing-Lin Chen, Xuxiang Chen, Erbao Chen, Jiaqing Chen, Hsiang-Wen Chen, Jiaxin Chen
articles
Chih-Ping Chen Ā· 2012 Ā· Taiwanese journal of obstetrics & gynecology Ā· Elsevier Ā· added 2026-04-24
Fetal akinesia deformation sequence is a clinically and genetically heterogeneous disorder characterized by a variable combination of arthrogryposis, fetal akinesia, intrauterine growth restriction, d Show more
Fetal akinesia deformation sequence is a clinically and genetically heterogeneous disorder characterized by a variable combination of arthrogryposis, fetal akinesia, intrauterine growth restriction, developmental abnormalities such as cystic hygroma, pulmonary hypoplasia, cleft palate, cryptorchidism, cardiac defects and intestinal malrotation, and occasional pterygia of the limbs. Multiple pterygium syndrome is a clinically and genetically heterogeneous disorder characterized by pterygia of the neck, elbows and/or knees, arthrogryposis, and other phenotypic features such as short stature, genital abnormalities, craniofacial abnormalities, clubfoot, kyphoscoliosis, and cardiac abnormalities. Fetal akinesia deformation sequence may phenotypically overlap with the lethal type of multiple pterygium syndrome. This article provides a comprehensive review of prenatal diagnosis and genetic analysis of fetal akinesia deformation sequence and multiple pterygium syndrome associated with neuromuscular junction disorders. Prenatal diagnosis of fetal akinesia along with cystic hygroma, increased nuchal translucency, nuchal edema, hydrops fetalis, arthrogryposis, pterygia, and other structural abnormalities should include a differential diagnosis of neuromuscular junction disorders. Genetic analysis of mutations in the neuromuscular junction genes such as CHRNA1, CHRND, CHRNG, CNTN1, DOK7, RAPSN, and SYNE1 may unveil the pathogenetic cause of fetal akinesia deformation sequence and multiple pterygium syndrome, and the information acquired is helpful for genetic counseling and clinical management. Show less
no PDF DOI: 10.1016/j.tjog.2012.01.004
FADS1
Gregorio Chazenbalk, Yen-Hao Chen, Saleh Heneidi +4 more Ā· 2012 Ā· The Journal of clinical endocrinology and metabolism Ā· added 2026-04-24
Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. Our objective was to compare gene expression pattern in sc abdominal adipose tissue in nonobese PCOS patients v Show more
Polycystic ovary syndrome (PCOS) is one of the most common endocrine disorders in women. Our objective was to compare gene expression pattern in sc abdominal adipose tissue in nonobese PCOS patients vs. body mass index-matched controls. Eleven PCOS subjects and 12 controls (body mass index 20-28 kg/m(2)) were recruited. Total RNA was isolated, and gene expression profiling was performed using Affymetrix Human Genome U133 arrays. Differentially expressed genes were classified by gene ontology. Microarray results for selected genes were confirmed by quantitative real-time PCR (RT-qPCR). Frequently sampled iv glucose tolerance tests were used to assess dynamic insulin sensitivity. Ninety-six genes were identified with altered expression of at least 2-fold in nonobese PCOS adipose tissues. Inflammatory response genes were significantly down-regulated. RT-qPCR confirmed decreases in expression of IL6 (12.3-fold), CXCL2 (18.3-fold), and SOCS3 (22.6-fold). Lipid metabolism genes associated with insulin resistance were significantly up-regulated, with confirmed increases in DHRS9 (2.5-fold), UCLH1 (2.6-fold), and FADS1 (2.8-fold) expression. Wnt signaling genes (DKK2, JUN, and FOSB) were differentially expressed. RT-qPCR confirmed significant expression changes in DKK2 (1.9-fold increase), JUN (4.1-fold decrease), and FOSB (60-fold decrease). Genes involved in inflammation, lipid metabolism, and Wnt signaling are differentially expressed in nonobese PCOS adipose tissue. Because these genes are known to affect adipogenesis and insulin resistance, we hypothesize that their dysregulation may contribute to the metabolic abnormalities observed in women with PCOS. Show less
no PDF DOI: 10.1210/jc.2011-2377
FADS1
Xinpu Chen, Jun Qin, Chiang-Min Cheng +2 more Ā· 2012 Ā· Molecular endocrinology (Baltimore, Md.) Ā· added 2026-04-24
Chicken ovalbumin upstream promoter transcription factor (COUP-TF)II has been shown to play a major role in endothelial cell growth and regulation of the Notch signaling pathway to confer vein identit Show more
Chicken ovalbumin upstream promoter transcription factor (COUP-TF)II has been shown to play a major role in endothelial cell growth and regulation of the Notch signaling pathway to confer vein identity. However, the underlying mechanisms for COUP-TFII regulation in these pathways remain to be defined. Here we employed a genomic approach by using microarray analysis to identify downstream targets in human umbilical vein endothelial cells (HUVEC) cells and found the expression of many genes in the cell cycle pathway and Notch signaling pathway are significantly altered in the COUP-TFII-depleted cells. The expression of E2F transcription factor 1 (E2F1), a key transcription factor that regulates the expression of cell cycle regulators, is reduced in the absence of COUP-TFII. Using chromatin immunoprecipitation experiments, we showed that COUP-TFII directly regulates the expression of E2F1 through tethering to the Sp1 binding sites in the promoter of E2F1 to modulate cell proliferation. In addition, we also demonstrate that Foxc1 and Np-1, two upstream genes of Notch signaling and Hey2, a downstream effector of Notch signaling, are direct targets of COUP-TFII. Furthermore, COUP-TFII suppresses the expression of EphrinB2, an arterial marker, while enhancing the expression of ephrin receptor B4, a venous marker, supporting our in vivo findings that COUP-TFII regulates vein identity by suppressing the Notch signal pathway. Show less
no PDF DOI: 10.1210/me.2011-1305
HEY2
Li Chen, Yanlin Ma, Eun Young Kim +4 more Ā· 2012 Ā· PloS one Ā· PLOS Ā· added 2026-04-24
Ezh2 is a histone trimethyltransferase that silences genes mainly via catalyzing trimethylation of histone 3 lysine 27 (H3K27Me3). The role of Ezh2 as a regulator of gene silencing and cell proliferat Show more
Ezh2 is a histone trimethyltransferase that silences genes mainly via catalyzing trimethylation of histone 3 lysine 27 (H3K27Me3). The role of Ezh2 as a regulator of gene silencing and cell proliferation in cancer development has been extensively investigated; however, its function in heart development during embryonic cardiogenesis has not been well studied. In the present study, we used a genetically modified mouse system in which Ezh2 was specifically ablated in the mouse heart. We identified a wide spectrum of cardiovascular malformations in the Ezh2 mutant mice, which collectively led to perinatal death. In the Ezh2 mutant heart, the endocardial cushions (ECs) were hypoplastic and the endothelial-to-mesenchymal transition (EMT) process was impaired. The hearts of Ezh2 mutant mice also exhibited decreased cardiomyocyte proliferation and increased apoptosis. We further identified that the Hey2 gene, which is important for cardiomyocyte proliferation and cardiac morphogenesis, is a downstream target of Ezh2. The regulation of Hey2 expression by Ezh2 may be independent of Notch signaling activity. Our work defines an indispensible role of the chromatin remodeling factor Ezh2 in normal cardiovascular development. Show less
šŸ“„ PDF DOI: 10.1371/journal.pone.0031005
HEY2
Selena Meiyun Wu, Ker Sin Tan, Huishan Chen +7 more Ā· 2012 Ā· Stem cells and development Ā· added 2026-04-24
Molecular and cellular signaling pathways are involved in the process of neural differentiation from human embryonic stem cells (hESC) to terminally differentiated neurons. The Sonic hedgehog (SHH) mo Show more
Molecular and cellular signaling pathways are involved in the process of neural differentiation from human embryonic stem cells (hESC) to terminally differentiated neurons. The Sonic hedgehog (SHH) morphogen is required to direct the differentiation of hESC to several neural subtypes, for example, dopaminergic (DA) or motor neurons. However, the roles of SHH signaling and the pathway target genes that regulate the diversity of cellular responses arising from SHH activation during neurogenesis of hESC have yet to be elucidated. In this study, we report that overexpression of SHH in hESC promotes the derivation of neuroprogenitors (NP), increases proliferation of NP, and subsequently increases the yield of DA neurons. Next, gene expression changes resulting from the overexpression of SHH in hESC-derived NP were examined by genome-wide transcriptional profiling. Categorizing the differentially expressed genes according to the Gene Ontology biological processes showed that they are involved in numerous cellular processes, including neural development, NP proliferation, and neural specification. In silico GLI-binding sites analysis of the differentially expressed genes also identified a set of putative novel direct target genes of SHH in hESC-derived NP, which are involved in nervous system development. Electrophoretic mobility shift assays and promoter-luciferase assays confirmed that GLI1 binds to the promoter region and activates transcription of HEY2, a NOTCH signaling target gene. Taken together, our data provide evidence for the first time that there is cross-talk between the NOTCH and SHH signaling pathways in hESC-derived NP and also provide significant new insights into transcriptional targets in SHH-mediated neural differentiation of hESC. Show less
no PDF DOI: 10.1089/scd.2011.0134
HEY2
Guangfu Jin, Jielin Sun, Seong-Tae Kim +11 more Ā· 2012 Ā· Human molecular genetics Ā· Oxford University Press Ā· added 2026-04-24
Circulating androgen levels are often used as indicators of physiological or pathological conditions. More than half of the variance for circulating androgen levels is thought to be genetically influe Show more
Circulating androgen levels are often used as indicators of physiological or pathological conditions. More than half of the variance for circulating androgen levels is thought to be genetically influenced. A genome-wide association study (GWAS) has identified two loci, SHBG at 17p13 and FAM9B at Xp22, for serum testosterone (T) levels; however, these explain only a small fraction of inter-individual variability. To identify additional genetic determinants of androgen levels, a GWAS of baseline serum T and dihydrotestosterone (DHT) levels was conducted in 3225 men of European ancestry from the REduction by DUtasteride of Prostate Cancer Events (REDUCE) study. Cross-validation was used to confirm the observed associations between the drug (n = 1581) and placebo (n = 1644) groups of REDUCE. In addition to confirming the associations of two known loci with serum T levels (rs727428 in SHBG: P = 1.26 Ɨ 10(-12); rs5934505 in FAM9B: P = 1.61 Ɨ 10(-8)), we identified a new locus, JMJD1C at 10q21 that was associated with serum T levels at a genome-wide significance level (rs10822184: P = 1.12 Ɨ 10(-8)). We also observed that the SHBG locus was associated with serum DHT levels (rs727428: P = 1.47 Ɨ 10(-11)). Moreover, two additional variants in SHBG [rs72829446, in strong linkage equilibrium with the missense variant D356N (rs6259), and rs1799941] were also independently associated with circulating androgen levels in a statistical scale. These three loci (JMJD1C, SHBG and FAM9B) were estimated to account for ~5.3 and 4.1% of the variance of serum T and DHT levels. Our findings may provide new insights into the regulation of circulating androgens and potential targets for androgen-based therapy. Show less
no PDF DOI: 10.1093/hmg/dds361
JMJD1C
Andrea D Coviello, Robin Haring, Melissa Wellons +96 more Ā· 2012 Ā· PLoS genetics Ā· PLOS Ā· added 2026-04-24
Andrea D Coviello, Robin Haring, Melissa Wellons, Dhananjay Vaidya, Terho LehtimƤki, Sarah Keildson, Kathryn L Lunetta, Chunyan He, Myriam Fornage, Vasiliki Lagou, Massimo Mangino, N Charlotte Onland-Moret, Brian Chen, Joel Eriksson, Melissa Garcia, Yong Mei Liu, Annemarie Koster, Kurt Lohman, Leo-Pekka LyytikƤinen, Ann-Kristin Petersen, Jennifer Prescott, Lisette Stolk, Liesbeth Vandenput, Andrew R Wood, Wei Vivian Zhuang, Aimo Ruokonen, Anna-Liisa Hartikainen, Anneli Pouta, Stefania Bandinelli, Reiner Biffar, Georg Brabant, David G Cox, Yuhui Chen, Steven Cummings, Luigi Ferrucci, Marc J Gunter, Susan E Hankinson, Hannu Martikainen, Albert Hofman, Georg Homuth, Thomas Illig, John-Olov Jansson, Andrew D Johnson, David Karasik, Magnus Karlsson, Johannes Kettunen, Douglas P Kiel, Peter Kraft, Jingmin Liu, Ɩsten Ljunggren, Mattias Lorentzon, Marcello Maggio, Marcello R P Markus, Dan Mellstrƶm, Iva Miljkovic, Daniel Mirel, Sarah Nelson, Laure Morin Papunen, Petra H M Peeters, Inga Prokopenko, Leslie Raffel, Martin Reincke, Alex P Reiner, Kathryn Rexrode, Fernando Rivadeneira, Stephen M Schwartz, David Siscovick, Nicole Soranzo, Doris Stƶckl, Shelley Tworoger, AndrĆ© G Uitterlinden, Carla H van Gils, Ramachandran S Vasan, H-Erich Wichmann, Guangju Zhai, Shalender Bhasin, Martin Bidlingmaier, Stephen J Chanock, Immaculata De Vivo, Tamara B Harris, David J Hunter, Mika KƤhƶnen, Simin Liu, Pamela Ouyang, Tim D Spector, Yvonne T van der Schouw, Jorma Viikari, Henri Wallaschofski, Mark I McCarthy, Timothy M Frayling, Anna Murray, Steve Franks, Marjo-Riitta JƤrvelin, Frank H de Jong, Olli Raitakari, Alexander Teumer, Claes Ohlsson, Joanne M Murabito, John R B Perry Show less
Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated wi Show more
Sex hormone-binding globulin (SHBG) is a glycoprotein responsible for the transport and biologic availability of sex steroid hormones, primarily testosterone and estradiol. SHBG has been associated with chronic diseases including type 2 diabetes (T2D) and with hormone-sensitive cancers such as breast and prostate cancer. We performed a genome-wide association study (GWAS) meta-analysis of 21,791 individuals from 10 epidemiologic studies and validated these findings in 7,046 individuals in an additional six studies. We identified twelve genomic regions (SNPs) associated with circulating SHBG concentrations. Loci near the identified SNPs included SHBG (rs12150660, 17p13.1, p = 1.8 Ɨ 10(-106)), PRMT6 (rs17496332, 1p13.3, p = 1.4 Ɨ 10(-11)), GCKR (rs780093, 2p23.3, p = 2.2 Ɨ 10(-16)), ZBTB10 (rs440837, 8q21.13, p = 3.4 Ɨ 10(-09)), JMJD1C (rs7910927, 10q21.3, p = 6.1 Ɨ 10(-35)), SLCO1B1 (rs4149056, 12p12.1, p = 1.9 Ɨ 10(-08)), NR2F2 (rs8023580, 15q26.2, p = 8.3 Ɨ 10(-12)), ZNF652 (rs2411984, 17q21.32, p = 3.5 Ɨ 10(-14)), TDGF3 (rs1573036, Xq22.3, p = 4.1 Ɨ 10(-14)), LHCGR (rs10454142, 2p16.3, p = 1.3 Ɨ 10(-07)), BAIAP2L1 (rs3779195, 7q21.3, p = 2.7 Ɨ 10(-08)), and UGT2B15 (rs293428, 4q13.2, p = 5.5 Ɨ 10(-06)). These genes encompass multiple biologic pathways, including hepatic function, lipid metabolism, carbohydrate metabolism and T2D, androgen and estrogen receptor function, epigenetic effects, and the biology of sex steroid hormone-responsive cancers including breast and prostate cancer. We found evidence of sex-differentiated genetic influences on SHBG. In a sex-specific GWAS, the loci 4q13.2-UGT2B15 was significant in men only (men p = 2.5 Ɨ 10(-08), women p = 0.66, heterogeneity p = 0.003). Additionally, three loci showed strong sex-differentiated effects: 17p13.1-SHBG and Xq22.3-TDGF3 were stronger in men, whereas 8q21.12-ZBTB10 was stronger in women. Conditional analyses identified additional signals at the SHBG gene that together almost double the proportion of variance explained at the locus. Using an independent study of 1,129 individuals, all SNPs identified in the overall or sex-differentiated or conditional analyses explained ~15.6% and ~8.4% of the genetic variation of SHBG concentrations in men and women, respectively. The evidence for sex-differentiated effects and allelic heterogeneity highlight the importance of considering these features when estimating complex trait variance. Show less
šŸ“„ PDF DOI: 10.1371/journal.pgen.1002805
JMJD1C
Yiwen Wu, Xinyi Wang, Wei Xu +5 more Ā· 2012 Ā· Neuroscience letters Ā· Elsevier Ā· added 2026-04-24
Studies of the relationship between Parkinson's disease (PD) and rs9652490 SNP in LINGO1 gene have reported inconsistent results. To assess the association between the variant and PD risk, a meta-anal Show more
Studies of the relationship between Parkinson's disease (PD) and rs9652490 SNP in LINGO1 gene have reported inconsistent results. To assess the association between the variant and PD risk, a meta-analysis from 12 case-control studies was performed. A total of 6053 PD cases and 5997 controls in 4 studies among Asians and 8 studies among non-Asians were included. The overall and geographic subgroups analysis was conducted, and odds ratios (OR) and 95% confidence intervals (95%CI) were calculated in the fixed-effects or random-effects model. The combined results of overall analysis showed a lack of association of rs9652490 and PD (fixed-effects model, OR 1.00, 95%CI 0.94-1.06), no matter what genetic model of rs9652490. The separate analysis in patients of Asian origin or non-Asian origin also failed to show any ethnic-dependent association. In conclusion, the present meta-analysis does not support the notion that LINGO1 rs9652490 SNP is a major genetic risk factor for PD. Show less
no PDF DOI: 10.1016/j.neulet.2012.06.018
LINGO1
Feng-Chieh Su, Chiung-Mei Chen, Yi-Chun Chen +1 more Ā· 2012 Ā· Parkinsonism & related disorders Ā· Elsevier Ā· added 2026-04-24
''Leucine-rich repeat (LRR) and immunoglobulin (Ig) domain containing, Nogo receptor-interacting protein-1'' also known as LINGO-1 is a protein encoded by the LINGO-1 gene in human. LINGO-1 protein ha Show more
''Leucine-rich repeat (LRR) and immunoglobulin (Ig) domain containing, Nogo receptor-interacting protein-1'' also known as LINGO-1 is a protein encoded by the LINGO-1 gene in human. LINGO-1 protein has been demonstrated to play a role in the structural plasticity and integrity of dopaminergic neurons as well as their survival in animal models of Parkinson's disease (PD). The LINGO family includes LINGO-1 to LINGO-4. In two of them, LINGO-1 and LINGO-2 expressions are detectable in the adult mouse brain and appear to be restricted to neuronal tissue. Given the high degree of homology between the LINGO-1 and LINGO-2 proteins, LINGO-1 and its paralog LINGO-2 are reasonable candidate genes for PD. Recently, some variants of LINGO-1 and LINGO-2 have been reported as risk factors for developing PD in some Caucasian populations, but which has not been confirmed in others. In this study we aimed to assess whether the LINGO-2 variant (rs10968280) is associated with PD among Taiwanese. We examined the SNP of LINGO-2 gene (rs10968280 (T > A)) in a total of 457 PD patients (44.9% female) and 378 controls (44.9% female) recruited from neurology clinics at Linkou Chang-Gung Memorial Hospital. The frequencies of rs10968280 genotypes and alleles were similar between the PD and control group. Stratification by age at onset (<50 and ≄ 50 years) and sex also demonstrated no differences in the minor allele (A) frequency in either cohort. We conclude that the LINGO-2 variant rs109668280 does not contribute to the risk of developing PD in Taiwan. Show less
no PDF DOI: 10.1016/j.parkreldis.2011.11.013
LINGO1
Hao Mei, Wei Chen, Fan Jiang +6 more Ā· 2012 Ā· PloS one Ā· PLOS Ā· added 2026-04-24
Genome-wide association studies (GWAS) have identified multiple common variants associated with body mass index (BMI). In this study, we tested 23 genotyped GWAS-significant SNPs (p-value<5*10-8) for Show more
Genome-wide association studies (GWAS) have identified multiple common variants associated with body mass index (BMI). In this study, we tested 23 genotyped GWAS-significant SNPs (p-value<5*10-8) for longitudinal associations with BMI during childhood (3-17 years) and adulthood (18-45 years) for 658 subjects. We also proposed a heuristic forward search for the best joint effect model to explain the longitudinal BMI variation. After using false discovery rate (FDR) to adjust for multiple tests, childhood and adulthood BMI were found to be significantly associated with six SNPs each (q-value<0.05), with one SNP associated with both BMI measurements: KCTD15 rs29941 (q-value<7.6*10-4). These 12 SNPs are located at or near genes either expressed in the brain (BDNF, KCTD15, TMEM18, MTCH2, and FTO) or implicated in cell apoptosis and proliferation (FAIM2, MAP2K5, and TFAP2B). The longitudinal effects of FAIM2 rs7138803 on childhood BMI and MAP2K5 rs2241423 on adulthood BMI decreased as age increased (q-value<0.05). The FTO candidate SNPs, rs6499640 at the 5 '-end and rs1121980 and rs8050136 downstream, were associated with childhood and adulthood BMI, respectively, and the risk effects of rs6499640 and rs1121980 increased as birth weight decreased. The best joint effect model for childhood and adulthood BMI contained 14 and 15 SNPs each, with 11 in common, and the percentage of explained variance increased from 0.17% and 9.0*10(-6)% to 2.22% and 2.71%, respectively. In summary, this study evidenced the presence of long-term major effects of genes on obesity development, implicated in pathways related to neural development and cell metabolism, and different sets of genes associated with childhood and adulthood BMI, respectively. The gene effects can vary with age and be modified by prenatal development. The best joint effect model indicated that multiple variants with effects that are weak or absent alone can nevertheless jointly exert a large longitudinal effect on BMI. Show less
šŸ“„ PDF DOI: 10.1371/journal.pone.0031470
MAP2K5
Dechang Diao, Lei Wang, Jun-Xiao Zhang +6 more Ā· 2012 Ā· DNA and cell biology Ā· added 2026-04-24
Mitogen/extracellular signal-regulated kinase kinase-5 (MEK5), which belongs to a network of mitogen-activated protein kinase pathways, play a pivotal role in carcinogenesis. The purpose of this study Show more
Mitogen/extracellular signal-regulated kinase kinase-5 (MEK5), which belongs to a network of mitogen-activated protein kinase pathways, play a pivotal role in carcinogenesis. The purpose of this study was to investigate whether variants in the MEK5 gene promoter were involved in susceptivity of individuals to sporadic colorectal cancer (CRC). In the present hospital-based case-control study of 737 patients with sporadic CRC and 703 healthy control subjects in a southern Chinese population, the two polymorphisms of MEK5 promoter (i.e., rs7172582C>T and rs3743354T>C) were genotyped by TaqMan assay. There were significant differences between cases and controls in the genotype and allele distribution of the MEK5 gene rs3743354T>C polymorphism. The rs3743354 CC genotype was associated with a significantly decreased risk of CRC when compared with the TT genotype (adjusted odds ratios [ORs]=0.43; 95% confidence interval [CI], 0.24-0.77). Compared to the T allele, a significant correlation was detected between the presence of the C allele and decreased risk of CRC (adjusted OR=0.79; 95% CI, 0.61-0.94). The decreased risk of CRC associated with rs3743354 variant genotypes (i.e., CT+CC) was found in the smoker subgroup (adjusted OR=0.63; 95% CI=0.45-0.88). Further, environmental factors, including smoking and drinking, interacted with rs3743354C variant genotypes to reduce CRC risk. Western blot analysis showed that the levels of MEK5 protein in sporadic CRC neoplastic tissues and adjacent normal colorectal epithelium tissues were lower in the carriers of rs3743354 CC genotypes than that in those with rs3743354 TT genotypes or those with rs3743354 TC genotypes. However, no significant association was found between the rs7172582C>T polymorphism and risk of CRC. These data indicate that the rs3743354 polymorphism in the MEK5 promoter may affect the risk of developing CRC. Show less
no PDF DOI: 10.1089/dna.2011.1232
MAP2K5
Cheng Zhang, Xi Chen, Ren-Min Zhu +10 more Ā· 2012 Ā· Toxicology letters Ā· Elsevier Ā· added 2026-04-24
A link between fructose drinking and nonalcoholic fatty liver disease (NAFLD) has been demonstrated in human and rodent animals. The aim of the present study was to investigate whether endoplasmic ret Show more
A link between fructose drinking and nonalcoholic fatty liver disease (NAFLD) has been demonstrated in human and rodent animals. The aim of the present study was to investigate whether endoplasmic reticulum (ER) stress is mediated in the development of fructose-induced NAFLD. Female CD-1 mice were fed with 30% fructose solution for eight weeks. Hepatic lipid accumulation was assessed. Hepatic nuclear sterol regulatory element-binding protein (SREBP)-1c was measured. Results showed that hepatic SREBP-1c was activated in mice fed with fructose solution. Fatty acid synthase (fas) and acetyl-CoA carboxylase (acc), two target genes of SREBP-1c, were up-regulated. Fructose-evoked hepatic SREBP-1c activation seemed to be associated with insulin-induced gene (Insig)-1 depletion. An ER stress and unfolded protein response (UPR), as determined by an increased glucose-regulated protein (GRP78) expression and an increased eIF2α and PERK phosphorylation, were observed in liver of mice fed with fructose solution. Phenylbutyric acid (PBA), an ER chemical chaperone, not only significantly attenuated ER stress, but also alleviated fructose-induced hepatic Insig-1 depletion. PBA inhibited fructose-evoked hepatic SREBP-1c activation and the expression of SREBP-1c target genes, and protected against hepatic lipid accumulation. In conclusion, ER stress contributes, at least in part, to hepatic SREBP-1c activation and lipid accumulation in fructose-evoked NAFLD. Show less
no PDF DOI: 10.1016/j.toxlet.2012.06.002
MLXIPL
Cristian Pattaro, Anna Köttgen, Alexander Teumer +167 more · 2012 · PLoS genetics · PLOS · added 2026-04-24
Cristian Pattaro, Anna Kƶttgen, Alexander Teumer, Maija Garnaas, Carsten A Bƶger, Christian Fuchsberger, Matthias Olden, Ming-Huei Chen, Adrienne Tin, Daniel Taliun, Man Li, Xiaoyi Gao, Mathias Gorski, Qiong Yang, Claudia Hundertmark, Meredith C Foster, Conall M O'Seaghdha, Nicole Glazer, Aaron Isaacs, Ching-Ti Liu, Albert V Smith, Jeffrey R O'Connell, Maksim Struchalin, Toshiko Tanaka, Guo Li, Andrew D Johnson, Hinco J Gierman, Mary Feitosa, Shih-Jen Hwang, Elizabeth J Atkinson, Kurt Lohman, Marilyn C Cornelis, ƅsa Johansson, Anke Tƶnjes, Abbas Dehghan, Vincent Chouraki, Elizabeth G Holliday, Rossella Sorice, Zoltan Kutalik, Terho LehtimƤki, TƵnu Esko, Harshal Deshmukh, Sheila Ulivi, Audrey Y Chu, Federico Murgia, Stella Trompet, Medea Imboden, Barbara Kollerits, Giorgio Pistis, CARDIoGRAM Consortium, ICBP Consortium, CARe Consortium, Wellcome Trust Case Control Consortium 2 (WTCCC2), Tamara B Harris, Lenore J Launer, Thor Aspelund, Gudny Eiriksdottir, Braxton D Mitchell, Eric Boerwinkle, Helena Schmidt, Margherita Cavalieri, Madhumathi Rao, Frank B Hu, Ayse Demirkan, Ben A Oostra, Mariza de Andrade, Stephen T Turner, Jingzhong Ding, Jeanette S Andrews, Barry I Freedman, Wolfgang Koenig, Thomas Illig, Angela Dƶring, H-Erich Wichmann, Ivana Kolcic, Tatijana Zemunik, Mladen Boban, Cosetta Minelli, Heather E Wheeler, Wilmar Igl, Ghazal Zaboli, Sarah H Wild, Alan F Wright, Harry Campbell, David Ellinghaus, Ute Nƶthlings, Gunnar Jacobs, Reiner Biffar, Karlhans Endlich, Florian Ernst, Georg Homuth, Heyo K Kroemer, Matthias Nauck, Sylvia Stracke, Uwe Vƶlker, Henry Vƶlzke, Peter Kovacs, Michael Stumvoll, Reedik MƤgi, Albert Hofman, Andre G Uitterlinden, Fernando Rivadeneira, Yurii S Aulchenko, Ozren Polasek, Nick Hastie, Veronique Vitart, Catherine Helmer, Jie Jin Wang, Daniela Ruggiero, Sven Bergmann, Mika KƤhƶnen, Jorma Viikari, Tiit Nikopensius, Michael Province, Shamika Ketkar, Helen Colhoun, Alex Doney, Antonietta Robino, Franco Giulianini, Bernhard K KrƤmer, Laura Portas, Ian Ford, Brendan M Buckley, Martin Adam, Gian-Andri Thun, Bernhard Paulweber, Margot Haun, Cinzia Sala, Marie Metzger, Paul Mitchell, Marina Ciullo, Stuart K Kim, Peter Vollenweider, Olli Raitakari, Andres Metspalu, Colin Palmer, Paolo Gasparini, Mario Pirastu, J Wouter Jukema, Nicole M Probst-Hensch, Florian Kronenberg, Daniela Toniolo, Vilmundur Gudnason, Alan R Shuldiner, Josef Coresh, Reinhold Schmidt, Luigi Ferrucci, David S Siscovick, Cornelia M Van Duijn, Ingrid Borecki, Sharon L R Kardia, Yongmei Liu, Gary C Curhan, Igor Rudan, Ulf Gyllensten, James F Wilson, Andre Franke, Peter P Pramstaller, Rainer Rettig, Inga Prokopenko, Jacqueline C M Witteman, Caroline Hayward, Paul Ridker, Afshin Parsa, Murielle Bochud, Iris M Heid, Wolfram Goessling, Daniel I Chasman, W H Linda Kao, Caroline S Fox Show less
Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and s Show more
Chronic kidney disease (CKD) is an important public health problem with a genetic component. We performed genome-wide association studies in up to 130,600 European ancestry participants overall, and stratified for key CKD risk factors. We uncovered 6 new loci in association with estimated glomerular filtration rate (eGFR), the primary clinical measure of CKD, in or near MPPED2, DDX1, SLC47A1, CDK12, CASP9, and INO80. Morpholino knockdown of mpped2 and casp9 in zebrafish embryos revealed podocyte and tubular abnormalities with altered dextran clearance, suggesting a role for these genes in renal function. By providing new insights into genes that regulate renal function, these results could further our understanding of the pathogenesis of CKD. Show less
šŸ“„ PDF DOI: 10.1371/journal.pgen.1002584
MPPED2
Cho-Kai Wu, Yin-Tsen Huang, Jen-Kuang Lee +7 more Ā· 2012 Ā· PloS one Ā· PLOS Ā· added 2026-04-24
Myosin binding protein C (MYBPC3) plays a role in ventricular relaxation. The aim of the study was to investigate the association between cardiac myosin binding protein C (MYBPC3) gene polymorphisms a Show more
Myosin binding protein C (MYBPC3) plays a role in ventricular relaxation. The aim of the study was to investigate the association between cardiac myosin binding protein C (MYBPC3) gene polymorphisms and diastolic heart failure (DHF) in a human case-control study. A total of 352 participants of 1752 consecutive patients from the National Taiwan University Hospital and its affiliated hospital were enrolled. 176 patients diagnosed with DHF confirmed by echocardiography were recruited. Controls were matched 1-to-1 by age, sex, hypertension, diabetes, renal function and medication use. We genotyped 12 single nucleotide polymorphisms (SNPs) according to HapMap Han Chinese Beijing databank across a 40 kb genetic region containing the MYBPC3 gene and the neighboring DNA sequences to capture 100% of haplotype variance in all SNPs with minor allele frequencies ≄ 5%. We also analyzed associations of these tagging SNPs and haplotypes with DHF and linkage disequilibrium (LD) structure of the MYBPC3 gene. In a single locus analysis, SNP rs2290149 was associated with DHF (allele-specific p = 0.004; permuted p = 0.031). The SNP with a minor allele frequency of 9.4%, had an odds ratio 2.14 (95% CI 1.25-3.66; p = 0.004) for the additive model and 2.06 for the autosomal dominant model (GG+GA : AA, 95% CI 1.17-3.63; p = 0.013), corresponding to a population attributable risk fraction of 12.02%. The haplotypes in a LD block of rs2290149 (C-C-G-C) was also significantly associated with DHF (odds ratio 2.10 (1.53-2.89); permuted p = 0.029). We identified a SNP (rs2290149) among the tagging SNP set that was significantly associated with early DHF in a Chinese population. Show less
no PDF DOI: 10.1371/journal.pone.0035242
MYBPC3
Jing-Feng Zhao, Li-Chieh Ching, Yu-Chu Huang +5 more Ā· 2012 Ā· Molecular nutrition & food research Ā· Wiley Ā· added 2026-04-24
Curcumin, a potent antioxidant extracted from Curcuma longa, confers protection against atherosclerosis, yet the detailed mechanisms are not fully understood. In this study, we examined the effect of Show more
Curcumin, a potent antioxidant extracted from Curcuma longa, confers protection against atherosclerosis, yet the detailed mechanisms are not fully understood. In this study, we examined the effect of curcumin on lipid accumulation and the underlying molecular mechanisms in macrophages and apolipoprotein E-deficient (apoE⁻/⁻) mice. Treatment with curcumin markedly ameliorated oxidized low-density lipoprotein (oxLDL)-induced cholesterol accumulation in macrophages, which was due to decreased oxLDL uptake and increased cholesterol efflux. In addition, curcumin decreased the protein expression of scavenger receptor class A (SR-A) but increased that of ATP-binding cassette transporter (ABC) A1 and had no effect on the protein expression of CD36, class B receptor type I (SR-BI), or ATP-binding cassette transporter G1 (ABCG1). The downregulation of SR-A by curcumin was via ubiquitin-proteasome-calpain-mediated proteolysis. Furthermore, the curcumin-induced upregulation of ABCA1 was mainly through calmodulin-liver X receptor α (LXRα)-dependent transcriptional regulation. Curcumin administration modulated the expression of SR-A, ABCA1, ABCG1, and SR-BI in aortas and retarded atherosclerosis in apoE⁻/⁻ mice. Our findings suggest that inhibition of SR-A-mediated oxLDL uptake and promotion of ABCA1-dependent cholesterol efflux are two crucial events in suppression of cholesterol accumulation by curcumin in the transformation of macrophage foam cells. Show less
no PDF DOI: 10.1002/mnfr.201100735
NR1H3
Qiong Chen, Ermao Wang, Liping Ma +1 more Ā· 2012 Ā· Lipids in health and disease Ā· BioMed Central Ā· added 2026-04-24
Resveratrol (RSV), a naturally occurring polyphenolic stilbenoid, is known to possess potent anti-atherogenic properties; however, the effect of RSV on hypercholesterolemia is not fully understood. We Show more
Resveratrol (RSV), a naturally occurring polyphenolic stilbenoid, is known to possess potent anti-atherogenic properties; however, the effect of RSV on hypercholesterolemia is not fully understood. We hypothesized that RSV decreases blood cholesterol levels through the activation of cholesterol 7α-hydroxylase (CYP7A1)-mediated bile acid synthetic pathway pathways in vitro and in vivo. In this study, we evaluated body weight, serum lipid concentrations, hepatic lipid content and the size of the bile acid pool in high-fat diet (HFD)-fed C57BL/6 J mice that were treated with RSV. In addition, we characterized the underlying mechanism of the effects of RSV in HepG2 hepatocytes by Western blot analysis. RSV (200 mg/kg per day) reduced body weight and liver weight gains, improved serum lipid parameters, reduced hepatic cholesterol accumulation and increased the bile acid pool size in mice fed an HFD for 8 wks. RSV significantly increased liver expression of CYP7A1 mRNA and protein and CYP7A1 enzyme activity. Furthermore, RSV treatment upregulated CYP7A1 expression and induced liver X receptor alpha (LXRα) activation in a time- and dose-dependent manner in HepG2 cells. In addition, the specific liver X receptor alpha (LXRα) inhibitor geranylgeranyl pyrophosphate (GGPP) inhibited the RSV-induced expression of CYP7A1 in HepG2 hepatocytes. The beneficial effects of RSV on HFD-induced hypercholesterolemia are mediated through LXRα signaling pathways, suggesting a potential target for the prevention of dyslipidemia. Show less
no PDF DOI: 10.1186/1476-511X-11-56
NR1H3
Shi-Lin Tang, Wu-Jun Chen, Kai Yin +9 more Ā· 2012 Ā· Atherosclerosis Ā· Elsevier Ā· added 2026-04-24
Pregnancy-associated plasma protein-A (PAPP-A) has been involved in the atherosclerotic process through regulation of local expression of IGF-1 that mediates the activation of the phosphatidylinositol Show more
Pregnancy-associated plasma protein-A (PAPP-A) has been involved in the atherosclerotic process through regulation of local expression of IGF-1 that mediates the activation of the phosphatidylinositol-3 (PI3-K) and Akt kinase (Akt) signaling cascades which lead to constitutive nitric oxide formation, with its attending vasodilator, antiplatelet and insulin-sensitizing actions. In addition, IGF-1 may decreased cholesterol efflux through reductions of expression in ABCA1 and SR-B1 by the PI3-K/Akt signaling pathway. In the current study, we examined whether PAPP-A was involved in LXRα regulation and in expression of ABCA1, ABCG1 or SR-B1 through the IGF-I-mediated signaling pathway (IGF/PI3-K/Akt). Results showed that PAPP-A significantly decreased expression of ABCA1, ABCG1 and SR-BI at both transcriptional and translational levels in a dose-dependent and time-dependent manner. Cellular cholesterol content was increased while cholesterol efflux was decreased by PAPP-A treatment. Moreover, LXRα which can regulate the expression of ABCA1, ABCG1 and SR-B1, was also down-regulated by PAPP-A treatment. LXRα-specific activation by LXRα agonist almost rescued the down-regulation of ABCA1, ABCG1 and SR-B1 expression by PAPP-A. In addition, PAPP-A can induce the IGF-1/PI3-K/Akt pathway in macrophages. Furthermore, our results indicate that the decreased levels observed in LXRα, ABCA1, ABCG1 and SR-B1 mRNA and protein levels upon treating cells with PAPP-A were strongly impaired with the PI3-K inhibitors or IGF-1R siRNA while the MAPK cascade inhibitor did not execute this effect, indicating that the process of ABCA1, ABCG1 and SR-BI degradation by PAPP-A involves the IGF-1/PI3-K/Akt pathway. In conclusion, PAPP-A may first down-regulate expression of LXRα through the IGF-1/PI3-K/Akt signaling pathway and then decrease expression of ABCA1, ABCG1, SR-B1 and cholesterol efflux in THP-1 macrophage-derived foam cells. Therefore, our study provided one of the mechanisms for understanding the critical effect of PAPP-A in pathogenesis of atherosclerosis. Show less
no PDF DOI: 10.1016/j.atherosclerosis.2012.03.005
NR1H3
Xiao-Hua Yu, Hai-Lu Jiang, Wu-Jun Chen +8 more Ā· 2012 Ā· Circulation journal : official journal of the Japanese Circulation Society Ā· added 2026-04-24
Interleukin (IL)-18 and IL-12 synergize for the production of interferon (IFN)-γ, which can downregulate ATP-binding cassette transporter A1 (ABCA1) expression. The aim of the present study was to inv Show more
Interleukin (IL)-18 and IL-12 synergize for the production of interferon (IFN)-γ, which can downregulate ATP-binding cassette transporter A1 (ABCA1) expression. The aim of the present study was to investigate the effect of IL-18 and/or IL-12 on ABCA1 expression. IL-18 combined with IL-12 decreased ABCA1 expression and cellular cholesterol efflux in THP-1 macrophage-derived foam cells, whereas IL-18 or IL-12 alone had no effect. IL-12 increased IL-18 receptor (IL-18R) expression, which was suppressed by small interfering RNA (siRNA) for signal transducer and activator of transcription 3. IL-18R but not IL-12 receptor siRNA completely reversed the effects of IL-18 and IL-12 on ABCA1 expression and cellular cholesterol efflux. Treatment with IL-18 plus IL-12 markedly augmented nuclear translocation of nuclear factor (NF)-κB but had no effect on expression and activity of liver X receptor α. IL-18 and IL-12 also significantly increased zinc finger protein 202 (ZNF202) levels and IFN-γ secretion. Furthermore, siRNA for ZNF202 or IFN-γ significantly impaired IL-18/IL-12-induced suppression of ABCA1, whereas NF-κB siRNA treatment blocked IL-18/IL-12' action on ZNF202 levels, IFN-γ secretion, and ABCA1 expression. IL-18 and IL-12 together can decrease ABCA1 expression and cellular cholesterol efflux in THP-1 macrophage-derived foam cells through the IL-18R/NF-κB signaling pathway. Show less
no PDF DOI: 10.1253/circj.cj-11-1338
NR1H3
Chih-Min Yang, Ya-Ling Lu, Huei-Yan Chen +1 more Ā· 2012 Ā· The Journal of nutritional biochemistry Ā· Elsevier Ā· added 2026-04-24
In our previous study, we demonstrated that lycopene can inhibit the proliferation of androgen-dependent prostate LNCaP cancer cells through the activation of the peroxisome proliferator-activated rec Show more
In our previous study, we demonstrated that lycopene can inhibit the proliferation of androgen-dependent prostate LNCaP cancer cells through the activation of the peroxisome proliferator-activated receptor gamma (PPARγ)-liver X receptor alpha (LXRα)-ATP-binding cassette transporter 1 (ABCA1) pathway. However, it is still unclear whether lycopene possesses similar effects in androgen-independent prostate cancer cells DU145 and PC-3. As lycopene inhibited the proliferation of both cell types to a similar extent, we chose DU145 cells for most of the subsequent studies. We show that lycopene significantly increased protein and mRNA expression of PPARγ, LXRα and ABCA1 and cholesterol efflux (i.e., decreased cellular cholesterol and increased cholesterol in culture medium). Lycopene (10 μM) in the presence of a specific antagonist of PPARγ (GW9662) or of LXRα (GGPP) restored the proliferation of DU145 cells and significantly suppressed lycopene-induced protein and mRNA expression of PPARγ and LXRα and cholesterol efflux. Liver X receptor α knockdown by siRNA against LXRα significantly promoted the proliferation of DU145 cells, whereas si-LXRα knockdown followed by incubation with lycopene (10 μM) restored the proliferation to the control level. Furthermore, lycopene in combination with the LXRα agonist T0901317 exhibited synergistic effects on cell proliferation and protein expression of PPARγ, LXRα and ABCA1. These results demonstrate that lycopene can inhibit DU145 cell proliferation via PPARγ-LXRα-ABCA1 pathway and that lycopene and T0901317 exhibit synergistic effects. Show less
no PDF DOI: 10.1016/j.jnutbio.2011.06.009
NR1H3
Yuyang Chen, Yao Chen, Lei Zhao +7 more Ā· 2012 Ā· Journal of gastroenterology and hepatology Ā· Blackwell Publishing Ā· added 2026-04-24
Both inflammation and cholesterol accumulation play important roles in the development of non-alcoholic fatty liver disease. This study was undertaken to investigate whether inflammation aggravated ch Show more
Both inflammation and cholesterol accumulation play important roles in the development of non-alcoholic fatty liver disease. This study was undertaken to investigate whether inflammation aggravated cholesterol accumulation via disrupting hepatic cholesterol export and we explored the underlying mechanisms. We used casein injection in C57BL/6J mice, and tumor necrosis factor alpha (TNF-α) stimulation in human hepatoblastoma cell line (HepG2) cells to induce inflammation. Intracellular cholesterol level was examined by Oil Red O staining and quantitative analysis. Bile acid level was quantified by colorimetric analysis. (3)[H] cholesterol assay by scintillation counting was performed to evaluate the cholesterol efflux. The mRNA and protein expression was examined by real-time polymerase chain reaction and Western blot. Inflammation increased cholesterol accumulation in livers of C57BL/6J mice and in HepG2 cells. High-fat diet in mice and low-density lipoprotein (LDL) loading in HepG2 cells increased bile acid synthesis and cholesterol efflux, enhanced the mRNA and protein expression of liver X receptor α (LXRα), peroxisome proliferator-activated receptors (PPARα, γ), cholesterol 7α-hydroxylase (CYP7A1) and ATP-binding cassette transporter A1 (ABCA1). However, inflammation reduced bile acid synthesis and cholesterol efflux even in high-fat-diet-fed mice and HepG2 cells in the presence of LDL loading. The enhanced effects of these genes and proteins expression due to high-fat diet and LDL loading were inhibited by inflammation both in vivo and in vitro. Inflammation disrupted PPAR-LXR-CYP7A1/ABCA1-mediated bile acid synthesis and cholesterol efflux resulting in exacerbated cholesterol accumulation in livers of C57BL/6J mice and HepG2 cells. Show less
no PDF DOI: 10.1111/j.1440-1746.2011.06986.x
NR1H3
Chih-Min Yang, I-Hsuan Lu, Huei-Yan Chen +1 more Ā· 2012 Ā· The Journal of nutritional biochemistry Ā· Elsevier Ā· added 2026-04-24
The activation of nuclear receptors, peroxisome proliferator-activated receptor gamma (PPARγ) and liver X receptor alpha (LXRα), has been shown to inhibit the growth of prostate cancer cells. This stu Show more
The activation of nuclear receptors, peroxisome proliferator-activated receptor gamma (PPARγ) and liver X receptor alpha (LXRα), has been shown to inhibit the growth of prostate cancer cells. This study examined whether the anti-proliferative effect of lycopene on androgen-dependent human prostate cancer (LNCaP) cells involves the up-regulation of the expression of PPARγ and LXRα. As expected, lycopene treatment (2.5-10 μM) significantly inhibited the proliferation of LNCaP cells during incubation for 96 h. Lycopene significantly increased the protein and mRNA expression of PPARγ and LXRα at 24 and 48 h, while the increased in the expression of ATP-binding cassette transporter 1 (ABCA1) was only evident 96 h. In addition, lycopene significantly decreased cellular total cholesterol levels and increased apoA1 protein expression at 96 h. Incubation of LNCaP cells with lycopene (10 μM) in the presence (20 μM) of a specific antagonist of PPARγ (GW9662) and LXRα (GGPP) restored the proliferation of LNCaP cells to the control levels and significantly suppressed protein expression of PPARγ and LXRα as well as increased cellular total cholesterol levels. LXRα knockdown by siRNA against LXRα significantly enhanced the proliferation of LNCaP cells, whereas si-LXRα knockdown followed by incubation with lycopene (10 μM) restored the proliferation to the control level. The present study is the first to demonstrate that the anti-proliferative effect of lycopene on LNCaP cells involves the activation of the PPARγ-LXRα-ABCA1 pathway, leading to reduced cellular total cholesterol levels. Show less
no PDF DOI: 10.1016/j.jnutbio.2010.10.006
NR1H3
Lingmin Hu, Chen Wu, Xueying Zhao +26 more Ā· 2012 Ā· Clinical cancer research : an official journal of the American Association for Cancer Research Ā· added 2026-04-24
Genetic variation may influence chemotherapy response and overall survival in cancer patients. We conducted a genome-wide scan in 535 advanced-stage non-small cell lung cancer (NSCLC) patients from tw Show more
Genetic variation may influence chemotherapy response and overall survival in cancer patients. We conducted a genome-wide scan in 535 advanced-stage non-small cell lung cancer (NSCLC) patients from two independent cohorts (307 from Nanjing and 228 from Beijing). A replication was carried out on an independent cohort of 340 patients from Southeastern China followed by a second validation on 409 patients from the Massachusetts General Hospital (Boston, MA). Consistent associations with NSCLC survival were identified for five single-nucleotide polymorphisms (SNP) in Chinese populations with P values ranging from 3.63 Ɨ 10(-5) to 4.19 Ɨ 10(-7) in the additive genetic model. The minor allele of three SNPs (rs7629386 at 3p22.1, rs969088 at 5p14.1, and rs3850370 at 14q24.3) were associated with worse NSCLC survival while 2 (rs41997 at 7q31.31 and rs12000445 at 9p21.3) were associated with better NSCLC survival. In addition, rs7629386 at 3p22.1 (CTNNB1) and rs3850370 at 14q24.3 (SNW1-ALKBH1-NRXN3) were further replicated in the Caucasian population. In this three-stage genome-wide association studies, we identified five SNPs as markers for survival of advanced-stage NSCLC patients treated with first-line platinum-based chemotherapy in Chinese Han populations. Two of these SNPs, rs7629386 and rs3850370, could also be markers for survival among Caucasian patients. Show less
no PDF DOI: 10.1158/1078-0432.CCR-12-1202
NRXN3
Dan Liu, Bin Yin, Qiang Wang +6 more Ā· 2012 Ā· Journal of genetics and genomics = Yi chuan xue bao Ā· Elsevier Ā· added 2026-04-24
Cytoplasmic poly(A) binding protein 4 (PABPC4) is an RNA-processing protein that plays an important role in the regulation of gene expression. The aim of this study was to investigate the expression p Show more
Cytoplasmic poly(A) binding protein 4 (PABPC4) is an RNA-processing protein that plays an important role in the regulation of gene expression. The aim of this study was to investigate the expression pattern and identify the potential clinical significance of PABPC4 in colorectal cancer. Immunohistochemical analysis revealed that 26.7% (27/101 patients) of primary colorectal tumors and 60.5% (23/38 patients) of corresponding adjacent, normal tissues showed high cytoplasmic expression of PABPC4, whereas expression was absent in 98% (43/44 patients) of distant, normal tissues. Using Kaplan-Meier analysis, we observed that the expression of PABPC4 was significantly correlated with disease-free survival and overall survival in patients with stage II and stage III colorectal cancer (P=0.022 and P=0.020, respectively). PABPC4 expression was positively associated with survival outcome, and may have predictive value in the prognosis of patients with colorectal cancer. Taken together, our findings indicate that PABPC4 may play a role in the pathogenesis of colorectal cancer. Show less
no PDF DOI: 10.1016/j.jgg.2012.05.007
PABPC4
Nadia Jaber, Zhixun Dou, Juei-Suei Chen +8 more Ā· 2012 Ā· Proceedings of the National Academy of Sciences of the United States of America Ā· National Academy of Sciences Ā· added 2026-04-24
A critical regulator of autophagy is the Class III PI3K Vps34 (also called PIK3C3). Although Vps34 is known to play an essential role in autophagy in yeast, its role in mammals remains elusive. To elu Show more
A critical regulator of autophagy is the Class III PI3K Vps34 (also called PIK3C3). Although Vps34 is known to play an essential role in autophagy in yeast, its role in mammals remains elusive. To elucidate the physiological function of Vps34 and to determine its precise role in autophagy, we have generated Vps34(f/f) mice, in which expression of Cre recombinase results in a deletion of exon 4 of Vps34 and a frame shift causing a deletion of 755 of the 887 amino acids of Vps34. Acute ablation of Vps34 in MEFs upon adenoviral Cre infection results in a diminishment of localized generation of phosphatidylinositol 3-phosphate and blockade of both endocytic and autophagic degradation. Starvation-induced autophagosome formation is blocked in both Vps34-null MEFs and liver. Liver-specific Albumin-Cre;Vps34(f/f) mice developed hepatomegaly and hepatic steatosis, and impaired protein turnover. Ablation of Vps34 in the heart of muscle creatine kinase-Cre;Vps34(f/f) mice led to cardiomegaly and decreased contractility. In addition, while amino acid-stimulated mTOR activation was suppressed in the absence of Vps34, the steady-state level of mTOR signaling was not affected in Vps34-null MEFs, liver, or cardiomyocytes. Taken together, our results indicate that Vps34 plays an essential role in regulating functional autophagy and is indispensable for normal liver and heart function. Show less
no PDF DOI: 10.1073/pnas.1112848109
PIK3C3
Lei-Lei Wang, Hong Chen, Kun Huang +1 more Ā· 2012 Ā· Glia Ā· Wiley Ā· added 2026-04-24
Inflammation plays important roles in the development of diabetic retinopathy (DR). How Müller cells contribute to DR-related inflammation remains unclear. We hypothesized that under diabetic conditio Show more
Inflammation plays important roles in the development of diabetic retinopathy (DR). How Müller cells contribute to DR-related inflammation remains unclear. We hypothesized that under diabetic conditions, elevated histone acetylations in Müller cells contribute to the inflammatory response. In this study, significantly increased histone acetylations, elevated histone acetyltranferases levels, and decreased histone deacetylases levels were found in the retinas of diabetic rats. Elevated AcH3K9 and AcH3K18 were partially co-stained with Müller cells on retinal sections by immunofluorescence staining. Consistently, high-glucose (HG) treated rMC-1 cells, a Müller cell line, also showed upregulation of acetylated histones, accompanied with the overexpression of GFAP, p-STAT3, and NFκB-p65, and two inflammatory genes, TNFα and MCP-1. Meanwhile, sodium butyrate (NaB)-induced upregulation of acetylated histones is also accompanied with transcription of inflammatory genes. Minocycline, a drug with beneficial effects on DR, was found to downregulate HG-induced Müller cell activation, inflammation, and acetylated H3K18 bound to the promoters of GFAP and inflammatory genes by chromatin immunoprecipitation assay. Furthermore, the effects of minocycline on HG-induced elevation in histone acetylations were also demonstrated in isolated primary rat Müller cells. These findings suggest the elevation of histone acetylations in Müller cells plays important regulating roles in the inflammatory response during diabetic conditions. Inhibition of histone acetylation by minocycline is a novel function that may contribute to its beneficial effects on DR. Show less
no PDF DOI: 10.1002/glia.22405
RMC1
Xiaoxin Yang, Lanmei Chen, Yanan Liu +5 more Ā· 2012 Ā· Biochimie Ā· Elsevier Ā· added 2026-04-24
Ruthenium(II) methylimidazole complexes, with the general formula [Ru(MeIm)(4)(N⌢N)](2+) (N⌢N = tip (RMC1), iip (RMC2), dppz (RMC3), dpq (RMC4); MeIm = 1-methylimidazole, tip = 2-(thiophene-2-yl)-1H-i Show more
Ruthenium(II) methylimidazole complexes, with the general formula [Ru(MeIm)(4)(N⌢N)](2+) (N⌢N = tip (RMC1), iip (RMC2), dppz (RMC3), dpq (RMC4); MeIm = 1-methylimidazole, tip = 2-(thiophene-2-yl)-1H-imidazo [4,5-f] [1,10]phenanthroline, iip = 2-(1H-imidazol-4-yl)-1H-imidazo [4,5-f] [1,10]phenanthroline, dppz = dipyrido[3,2-a:2',3'-c]phenazine, dpq = pyrazino [2,3-f] [1,10]phenanthroline), were synthesized and characterized. As determined by MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay, these complexes displayed potent anti-proliferation activity against various cancer cells. RMC1 inhibited the growth of A549 (human lung adenocarcinoma) lung cells through induction of apoptotic cell death, as evidenced by the accumulation of cell population in sub-G1 phase. RMC1 also induced the depletion of mitochondrial membrane potential in A549 cells by regulating the expression of pro-survival and pro-apoptotic Bcl-2 family members. Another experiment showed that Bid protein was also activated by RMC1, which implied that RMC1 could existed two pathways crosstalk, namely, have exogenous death receptor signaling pathway. These results demonstrated that RMC1 induced cancer cell death by acting on both mitochondrial and death receptor apoptotic pathways, suggesting that RMC1 could be a candidate for further evaluation as a chemotherapeutic agent against human cancers. Show less
no PDF DOI: 10.1016/j.biochi.2011.07.025
RMC1
You-Wen Qian, Yao Chen, Wen Yang +13 more Ā· 2012 Ā· Gastroenterology Ā· added 2026-04-24
Hepatocellular carcinoma (HCC) is believed to arise from tumor-initiating cells (T-ICs), although little is known about their stem cell-like properties. We quantified levels of p28(GANK) (Gankyrin), O Show more
Hepatocellular carcinoma (HCC) is believed to arise from tumor-initiating cells (T-ICs), although little is known about their stem cell-like properties. We quantified levels of p28(GANK) (Gankyrin), OV6, and Oct4 in 130 human HCC samples using immunohistochemistry. Magnetic-activated cell sorting was used to isolate OV6+ HCC cells. T-IC properties were evaluated by quantitative reverse-transcription polymerase chain reaction, flow cytometry, and spheroid formation. We used a coimmunoprecipitation assay to study interactions among p28(GANK), Oct4, and WWP2. Tumorigenicity and pulmonary metastasis were examined in nonobese diabetic and severe combined immunodeficient mice. In HCC samples, high levels of p28(GANK) correlated with expansion of OV6+ tumor cells; the combination of high levels of p28(GANK) and OV6 was associated with progression of HCC. p28(GANK) was predominantly expressed in liver T-ICs, isolated by magnetic sorting, and undifferentiated primary HCC spheroids. Increased levels of p28(GANK) in T-ICs increased their percentages in HCC samples, expression of stem cell genes, self-renewal potential, chemoresistance in vitro, and tumorigenicity and ability to develop into pulmonary metastases in mice. Conversely, knockdown of p28(GANK) reduced their T-IC properties. p28(GANK) likely activates liver T-ICs by impeding ubiquitination and degradation of the transcription factor Oct4 by WWP2. In support of this concept, levels of p28(GANK) correlated with those of Oct4 in HCC samples. p28(GANK) activates and maintains liver T-ICs in HCCs by preventing degradation of Oct4. Inhibitors of p28(GANK) might therefore be developed to inactivate T-ICs and slow tumor progression. Show less
no PDF DOI: 10.1053/j.gastro.2012.02.042
WWP2
Carl Pc Chen, Chih-Chin Hsu, Wen-Lin Yeh +6 more Ā· 2011 Ā· Proteome science Ā· BioMed Central Ā· added 2026-04-24
Proteome analysis is frequently applied in identifying the proteins or biomarkers in knee synovial fluids (SF) that are associated with osteoarthritis and other arthritic disorders. The 2-dimensional Show more
Proteome analysis is frequently applied in identifying the proteins or biomarkers in knee synovial fluids (SF) that are associated with osteoarthritis and other arthritic disorders. The 2-dimensional gel electrophoresis (2-DE) is the technique of choice in these studies. Disease biomarkers usually appear in low concentrations and may be masked by high abundant proteins. Therefore, the main aim of this study was to find the most suitable sample preparation method that can optimize the expression of proteins on 2-DE gels that can be used to develop a reference proteome picture for non-osteoarthritic knee synovial fluid samples. Proteome pictures obtained from osteoarthritic knee synovial fluids can then be compared with the reference proteome pictures obtained in this study to assist us in identifying the disease biomarkers more correctly. The proteomic tool of 2-DE with immobilized pH gradients was applied in this study. A total of 12 2-DE gel images were constructed from SF samples that were free of osteoarthritis. In these samples, 3 were not treated with any sample preparation methods, 3 were treated with acetone, 3 were treated with 2-DE Clean-Up Kit, and 3 were treated with the combination of acetone and 2-D Clean-Up Kit prior to 2-DE analysis. Gel images were analyzed using the PDQuest Basic 8.0.1 Analytical software. Protein spots that were of interest were excised from the gels and sent for identification by mass spectrometry. Total SF total protein concentration was calculated to be 21.98 ± 0.86 mg/mL. The untreated SF samples were detected to have 456 ± 33 protein spots on 2-DE gel images. Acetone treated SF samples were detected to have 320 ± 28 protein spots, 2-D Clean-Up Kit treated SF samples were detected to have 413 ± 31 protein spots, and the combined treatment method of acetone and 2-D Clean-Up Kit was detected to have 278 ± 26 protein spots 2-DE gel images. SF samples treated with 2-D Clean-Up Kit revealed clearer presentation of the isoforms and increased intensities of the less abundant proteins of haptoglobin, apolipoprotein A-IV, prostaglandin-D synthase, alpha-1B-glycoprotein, and alpha-2-HS-glycoprotein on 2-DE gel images as compared with untreated SF samples and SF samples treated with acetone. The acetone precipitation method and the combined treatment effect of acetone and 2-DE Clean-Up Kit are not preferred in preparing SF samples for 2-DE analysis as both protein intensities and numbers decrease significantly. On the other hand, 2-D Clean-Up Kit treated SF samples revealed clearer isoforms and higher intensities for the less abundant proteins of haptoglobin, apolipoprotein A-IV, prostaglandin-D synthase, alpha-1B-glycoprotein, and alpha-2-HS-glycoprotein on 2-DE gels. As a result, it is recommended that SF samples should be treated with protein clean up products such as 2-D Clean-Up Kit first before conducting proteomic research in searching for the relevant biomarkers associated with knee osteoarthritis. Show less
šŸ“„ PDF DOI: 10.1186/1477-5956-9-65
APOA4
Vanessa Kiyomi Ota, Elizabeth Suchi Chen, Tatiana Flank Ejchel +7 more Ā· 2011 Ā· Journal of investigative medicine : the official publication of the American Federation for Clinical Research Ā· added 2026-04-24
APOA1/C3/A4/A5 gene cluster is closely involved in lipid metabolism, and its polymorphisms have been associated with coronary heart disease and lipid plasma levels. Here, we aimed to investigate assoc Show more
APOA1/C3/A4/A5 gene cluster is closely involved in lipid metabolism, and its polymorphisms have been associated with coronary heart disease and lipid plasma levels. Here, we aimed to investigate associations of APOC3 (3238C>G, -482C>T, 1100C>T) and APOA4 (Gln360His, Thr347Ser) polymorphisms in 382 individuals from a cohort of a Longitudinal Brazilian Elderly Study with major age-related morbidities and with lipid and protein serum levels. The whole sample was genotyped by polymerase chain reaction-restriction fragment length polymorphism. Descriptive statistics, logistic regression analysis, Student t test, deviation from Hardy-Weinberg, Bonferroni correction for multiple testing, and haplotype analyses were performed. Although APOC3 1100T allele carriers presented lower triglyceride and very low density lipoprotein levels than non-T carriers, these associations disappeared after Bonferroni correction (P > 0.05). Moreover, APOA4 360His allele was associated with depression (P = 0.03), increased triglyceride (P = 0.035) and very low density lipoprotein (P = 0.035) levels, and reduced HDL levels (P = 0.0005). Haplotype analyses found an association between His/C/C haplotype (Gln360His/-482C>T/1100C>T) with depression, but this result was due to Gln360His polymorphism. Our data suggest that 360His allele might be a risk factor for depression and unfavorable lipid profile and depression for elderly people in the Brazilian population. Show less
no PDF DOI: 10.2310/JIM.0b013e31822467cd
APOA4
Yen-Chu Huang, Yih-Ru Wu, Mu-Yun Tseng +3 more Ā· 2011 Ā· PloS one Ā· PLOS Ā· added 2026-04-24
Huntington's disease (HD) is a progressive neurodegenerative disease caused by an unstable CAG trinucleotide repeat expansion. The need for biomarkers of onset and progression in HD is imperative, sin Show more
Huntington's disease (HD) is a progressive neurodegenerative disease caused by an unstable CAG trinucleotide repeat expansion. The need for biomarkers of onset and progression in HD is imperative, since currently reliable outcome measures are lacking. We used two-dimensional electrophoresis and mass spectrometry to analyze the proteome profiles in cerebrospinal fluid (CSF) of 6 pairs of HD patients and controls. Prothrombin, apolipoprotein A-IV (Apo A-IV) and haptoglobin were elevated in CSF of the HD patients in comparison with the controls. We used western blot as a semi-quantified measurement for prothrombin and Apo A-IV, as well as enzyme linked immunosorbent assay (ELISA) for measurement of haptoglobin, in 9 HD patients and 9 controls. The albumin quotient (Qalb), a marker of blood-brain barrier (BBB) function, was not different between the HD patients and the controls. The ratios of CSF prothrombin/albumin (prothrombin/Alb) and Apo A-IV/albumin (Apo A-IV/Alb), and haptoglobin level were significantly elevated in HD. The ratio of CSF prothrombin/Alb significantly correlated with the disease severity assessed by Unified Huntington's Disease Rating Scale (UHDRS). The results implicate that increased CSF prothrombin, Apo A-IV, and haptoglobin may be involved in pathogenesis of HD and may serve as potential biomarkers for HD. Show less
šŸ“„ PDF DOI: 10.1371/journal.pone.0015809
APOA4