👤 Riping Wu

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Also published as: Jiake Wu, Ming-Jiuan Wu, Siying Wu, Yijian Wu, Fong-Li Wu, Chih-Chung Wu, Jin'en Wu, Zixiang Wu, Zhongwei Wu, D P Wu, Haiping Wu, Geyan Wu, Qi-Zhu Wu, Jianjin Wu, Su Wu, Shwu-Yuan Wu, Xiaodi Wu, Changxin Wu, Kuen-Phon Wu, Guofeng Wu, Zhiping Wu, Xiaojun Wu, Qibing Wu, Cheng-Hsin Wu, Xiaoting Wu, Junhua Wu, Wenze Wu, Hong Wu, Yandi Wu, Zhong Wu, An-Chih Wu, Jianhui Wu, Xiaoke Wu, Zhenguo Wu, Jason H Y Wu, Selena Meiyun Wu, Yi-Mi Wu, Bing-Bing Wu, M Wu, Hui-Mei Wu, Danni Wu, Minqing Wu, Sijie Wu, Geng-ze Wu, Kun Wu, Cheng-Hua Wu, Shaofei Wu, Zhaoyang Wu, Qihan Wu, Kunling Wu, R Ryanne Wu, Hao Wu, Mingxuan Wu, Pei Wu, Wendy Wu, Yukang Wu, Jingtao Wu, Douglas C Wu, Guizhen Wu, Zhangjie Wu, Lili Wu, Jianwu Wu, Biaoliang Wu, Min-Jiao Wu, Huan Wu, Shengxi Wu, Fei-Fei Wu, Peih-Shan Wu, Guoqing Wu, Yu-Yuan Wu, Pei-Yu Wu, Jing Wu, Geting Wu, Lun-Gang Wu, Dongzhe Wu, G Wu, Junlong Wu, Jia-Jun Wu, Jiangyue Wu, Muzhou Wu, Junzhu Wu, Jian-Qiu Wu, Ray-Chin Wu, T Wu, Jianxiong Wu, Liping Wu, Haiwei Wu, Yong-Hao Wu, Guoping Wu, Jin-hua Wu, Yi Wu, Chongming Wu, You Wu, Qunzheng Wu, Xudong Wu, Liqiang Wu, Cuiling Wu, Kunfang Wu, Limeng Wu, Bian Wu, Jason Wu, Zhibing Wu, Shuying Wu, Caihong Wu, Naqiong Wu, Joseph C Wu, Huating Wu, Tianhao Wu, Zhi-Hong Wu, Congying Wu, Gaojun Wu, Dongping Wu, Chiao-En Wu, Li Wu, Haixia Wu, Yihang Wu, Shaoxuan Wu, Gen Wu, Fanchang Wu, Xiaorong Wu, Mei Wu, Mingjie Wu, Jiahao Wu, Jiapei Wu, Lingqian Wu, Jia Wu, Fangge Wu, Sen-Chao Wu, Yanhui Wu, Zhiqiang Wu, Sarah Wu, Shugeng Wu, Xuanqin Wu, Dongmei Wu, Caiwen Wu, Junjing Wu, Jiangdong Wu, Guihua Wu, Meini Wu, Yingbiao Wu, Rui Wu, Hua-Yu Wu, Bifeng Wu, Jingwan Wu, Lingling Wu, Junzheng Wu, Xinmiao Wu, Yi-Fang Wu, Yuyi Wu, Qinglin Wu, Yixuan Wu, Leilei Wu, Bin Wu, Tianqi Wu, Shiya Wu, Hui-Chen Wu, Jian Wu, Sijun Wu, Cong Wu, Yiwen Wu, Feng Wu, Xi-Ze Wu, Qiuji Wu, Alexander T H Wu, Semon Wu, Qinan Wu, Lai Man Natalie Wu, Zhuokai Wu, Ran Wu, Panyun Wu, Kui Wu, Yumei Wu, Xinrui Wu, Yueling Wu, Biwei Wu, Xing Wu, Jiayi Wu, Hua Wu, Yuen-Jung Wu, Bingjie Wu, Xiaoliang Wu, Matthew A Wu, Jin Wu, Juanjuan Wu, Qiuhong Wu, Xiaoming Wu, Hongfu Wu, Ming-Sian Wu, Ronghua Wu, Junduo Wu, Dandan Wu, Ming-Shiang Wu, Yuliang Wu, Ying-Ying Wu, Chaoling Wu, Guang-Liang Wu, De Wu, Yuanyuan Wu, Yihua Wu, Tsung-Jui Wu, Yulian Wu, Han Wu, Lipeng Wu, Zhihao Wu, Jiexi Wu, Anna H Wu, Qiu Wu, Huazhen Wu, Yaqin Wu, Shengru Wu, Chieh-Lin Stanley Wu, Xiaoqian Wu, Xiahui Wu, Jianli Wu, Yun-Wen Wu, Jian-Yi Wu, Qiuya Wu, Tsai-Kun Wu, Xinyin Wu, Guoyao Wu, Zhenfeng Wu, Guoli Wu, Bill X Wu, J W Wu, Zujun Wu, Jianliang Wu, Yuanshun Wu, Ling-Ying Wu, Zeng-An Wu, Jianrong Wu, Xue Wu, Ke Wu, Mengxue Wu, Cheng-Yang Wu, Jinghong Wu, Rongrong Wu, Ruolan Wu, Rong Wu, Kevin Zl Wu, Xiaohong Wu, Run Wu, Zaihao Wu, Chaowei Wu, Yu-Ke Wu, Xinjing Wu, Anyue Wu, Yun Wu, Xuan Wu, Meili Wu, Shu Wu, Wanxia Wu, Yi-No Wu, Chao-Liang Wu, Chengwei Wu, Y-W Wu, Pensee Wu, Zhao-Bo Wu, Guangxian Wu, Xiao Wu, Juanli Wu, Xinlei Wu, Changjie Wu, Sai Wu, Jiawei Wu, Yujuan Wu, Haoze Wu, Renlv Wu, Xiaoyang Wu, Yipeng Wu, Yuh-Lin Wu, Yu'e Wu, An-Hua Wu, Dan-Chun Wu, Meng-Chao Wu, Yuanhao Wu, Jer-Yuarn Wu, Qian-Yan Wu, Huisheng Wu, Guangyan Wu, Huijuan Wu, Shuting Wu, Long-Jun Wu, Alice Ying-Jung Wu, Xiru Wu, Lidi Wu, Zhenfang Wu, Yetong Wu, Disheng Wu, Linmei Wu, Huiwen Wu, Zhenzhou Wu, Yuhong Wu, Liang Wu, Liyan Wu, Kuan-Li Wu, Pei-Ting Wu, Xiao-Jin Wu, Lifeng Wu, Terence Wu, Shujuan Wu, Gang Wu, Xue-Mei Wu, Szu-Hsien Wu, Yan-ling Wu, Xiaokang Wu, Lingyan Wu, Yih-Jer Wu, Xinghua Wu, Chunfu Wu, Yingxia Wu, Rongling Wu, Xifeng Wu, Jinhua Wu, Sihan Wu, Ming-Yue Wu, Shiyang Wu, K D Wu, Jinmei Wu, Luyan Wu, Shin-Long Wu, Shuai Wu, Zhipeng Wu, Guangzhen Wu, Zhixiang Wu, Longting Wu, Zhengsheng Wu, Xiaoqiong Wu, Yaoxing Wu, Yuqin Wu, Yudan Wu, Zoe Wu, Hongting Wu, Chi-Jen Wu, R Wu, Zhongqiu Wu, Meina Wu, Dengying Wu, Anke Wu, Cheng-Jang Wu, Hsi-Chin Wu, Shufang Wu, Yongjiang Wu, Yuan-de Wu, Sihui Wu, Qi Wu, Wenhui Wu, Fenfang Wu, K S Wu, Nana Wu, Jianzhi Wu, Lin-Han Wu, Zhen Wu, Jinjun Wu, Chen-Lu Wu, Haiyan Wu, Jing-Fang Wu, Yihui Wu, Qiqing Wu, Dai-Chao Wu, Zhengzhi Wu, Zhenyan Wu, Wen-Jeng Wu, Guanming Wu, Yongqun Wu, Sean M Wu, Hei-Man Wu, Su-Hui Wu, Diana H Wu, Ben J Wu, Pingxian Wu, Chew-Wun Wu, Yillin Wu, Xiaobing Wu, Jiang-Bo Wu, Jerry Wu, Siming Wu, Zijun Wu, Daqing Wu, Yu-Hsuan Wu, Lichao Wu, Zhimin Wu, Qijing Wu, Daxian Wu, Zhaoyi Wu, Z Wu, Tong Wu, Cheng-Chun Wu, Tracy Wu, Shusheng Wu, D Wu, Ting-Ting Wu, Xiao-Yan Wu, J Wu, Lan Wu, Changchen Wu, Qi-Fang Wu, Changwei Wu, Liufeng Wu, Liangyan Wu, Kan Wu, Eugenia Wu, Mingming Wu, Xiaolong Wu, Chunru Wu, Zhaofei Wu, Shenhao Wu, Li-Peng Wu, Yuna Wu, Minna Wu, Justin Che-Yuen Wu, Buling Wu, Chengyu Wu, Wutian Wu, Yuwei Wu, Guixin Wu, Haijing Wu, Hei Man Wu, Qiuchen Wu, Junfei Wu, Xiao-Hui Wu, Wenda Wu, Xiaofeng Wu, Linyu Wu, Yung-Fu Wu, Mengbo Wu, Zhenling Wu, Maoqing Wu, Zuping Wu, Chun-Chieh Wu, Julian Wu, Binbin Wu, Xiaohui Wu, Qian Wu, Xinchun Wu, Shuisheng Wu, Xueqing Wu, Linxiang Wu, Bo Wu, Moxin Wu, Xiao-Cheng Wu, Anzhou Wu, Shuyi Wu, Jiahui Wu, Meiqin Wu, Shihao Wu, Jer-Yuan Wu, Wen-Shu Wu, Wudelehu Wu, Ruonan Wu, Song Wu, De-Fu Wu, Yulin Wu, Hongyu Wu, Yurong Wu, Zixuan Wu, Shih-Ying Wu, Chih-Hsing Wu, Chengrong Wu, Yinghao Wu, Yuanzhao Wu, Wenjie Wu, Baochuan Wu, Ziliang Wu, Liuting Wu, Chia-Ling Wu, Y Q Wu, Man Wu, Na Wu, Wutain Wu, Chenyang Wu, Jinyu Wu, Selwin K Wu, Ping Wu, Lorna Wu, D I Wu, Yi-Cheng Wu, Jianzhong Wu, Xiaoyun Wu, Zhourui Wu, Li-Jun Wu, Xinhe Wu, Zhi-Wei Wu, Yinan Wu, Xinyan Wu, Xin Wu, Yawei Wu, Shixin Wu, Ting-Feng Wu, Xiaojin Wu, Yiqun Wu, Tsung-Teh Wu, Hong-Mei Wu, Jiarui Wu, Qi-Nian Wu, Ju Wu, Kai-Yue Wu, Xi-Chen Wu, Pengjie Wu, Zhe Wu, Shaoping Wu, Zhou Wu, Han-Jie Wu, Haijiang Wu, Weijie Wu, Xiaojie Wu, Hongfei Wu, Yi-Ying Wu, Zhentian Wu, Ze Wu, Kai-Hong Wu, Yuting Wu, Minyao Wu, Xueyan Wu, Shinan Wu, Feifei Wu, Yonghui Wu, Haoxuan Wu, Yanzhi Wu, Yiyi Wu, Dong Wu, Guohao Wu, Wenjing Wu, Shibo Wu, Wenqian Wu, Tian Wu, Hai-Yan Wu, Tiantian Wu, Chong Wu, Hongxian Wu, Daoyuan Wu, Zongfu Wu, Ling Wu, Yuxiang Wu, Xilong Wu, Yuyu Wu, Huijian Wu, Zong-Jia Wu, Fengming Wu, Guorong Wu, Chuanhong Wu, Choufei Wu, Junfang Wu, Chi-Chung Wu, Xingwei Wu, Ling-Fei Wu, Xiaoqing Wu, Xinyang Wu, Xiaomin Wu, Yili Wu, Hong-Fu Wu, Shao-Ming Wu, Thomas D Wu, Lizhen Wu, Yuanming Wu, Hsien-Ming Wu, Jian Hui Wu, Litong Wu, Yuxian Wu, Weihua Wu, Lei Wu, C Wu, Wei Wu, Yu-E Wu, Qiulian Wu, Mei-Hwan Wu, Yuexiu Wu, Shaoze Wu, Zilong Wu, Chi-Hao Wu, Baojin Wu, Chao Wu, Yao Wu, Ya Wu, Do-Bo Wu, Wenjun Wu, Zhongren Wu, Nini Wu, Michael C Wu, Ning Wu, Jie Wu, Ming J Wu, Yi-Syuan Wu, Limei Wu, Zhenzhen Wu, Tianwen Wu, Wen-Chieh Wu, Yunhua Wu, Junfeng Wu, Shunan Wu, Junqi Wu, Honglin Wu, Jianing Wu, Maureen Wu, Yexiang Wu, Yan-Hua Wu, Mengjun Wu, Y H Wu, Mingxing Wu, Liuying Wu, Suhua Wu, Xiaomeng Wu, Shyh-Jong Wu, Tung-Ho Wu, Hongliang Wu, Wenxian Wu, Xuekun Wu, Ed Xuekui Wu, Wenqiang Wu, Chuang Wu, Jingyi Wu, Duojiao Wu, Xueyuan Wu, Ji-Zhou Wu, Lianqian Wu, Gaige Wu, Qing-Qian Wu, Haihu Wu, Xiushan Wu, Xueyao Wu, Tingchun Wu, Yafei Wu, Lingxi Wu, R-J Wu, Weidong Wu, Re-Wen Wu, Zhidan Wu, Peiyao Wu, Xuemei Wu, Chen Wu, Yiting Wu, Kerui Wu, Lihong Wu, Shiqi Wu, Liren Wu, Xiuhua Wu, Beili Wu, Yongqi Wu, Ruihong Wu, Huini Wu, Lingyun Wu, Guang-Long Wu, Po-Chang Wu, Wenxue Wu, Ru-Zi Wu, Qinghua Wu, Wenlin Wu, Changjing Wu, Xiexing Wu, J Y Wu, Jianping Wu, Guanggeng Wu, W J Wu, Zhichong Wu, Di Wu, Shaoyu Wu, Xiaotong Wu, Junyong Wu, Hui Wu, Hongyan Wu, Shengde Wu, Mengyuan Wu, Yutong Wu, Zheming Wu, Yiping Wu, Guiping Wu, Dapeng Wu, Wen-Hui Wu, Bing Wu, Wen-Sheng Wu, Yunpeng Wu, Li-Ling Wu, Xiao-Yuan Wu, Baiyan Wu, Qiu-Li Wu, Ying Wu, Xiao-Ye Wu, Da-Hua Wu, Hsing-Chieh Wu, Hui-Xuan Wu, Chieh-Jen Wu, Pengning Wu, Sichen Wu, Mengying Wu, S F Wu, Jia-En Wu, Ming-Der Wu, Weida Wu, Qi-Jun Wu, Guo-Chao Wu, Qi-Biao Wu, Zhenyong Wu, Yangfeng Wu, Lijie Wu, Zhiye Wu, Jihui Wu, Zhengliang L Wu, Qianqian Wu, JieQian Wu, Jingyun Wu, Xiaoman Wu, Ruohao Wu, Zhengfeng Wu, Yiyang Wu, Xiao-Jun Wu, Lizi Wu, Qiang Wu, J-Z Wu, Guangjie Wu, Pengfei Wu, Jundong Wu, Jianying Wu, Beier Wu, Meng-Ling Wu, Jamie L Y Wu, Lingxiang Wu, Xilin Wu, Keija Wu, Yanhua Wu, An-Li Wu, Yi-Ming Wu, Chengbiao Wu, Huanghui Wu, Dong-Feng Wu, Kunsheng Wu, Zhengcan Wu, Yuxin Wu, Kun-Rong Wu, Dong-Fang Wu, Guanxian Wu, Sensen Wu, Guifen Wu, Yifeng Wu, Pin Wu, Tzu-Chun Wu, Qingping Wu, R M Wu, Mian Wu, S J Wu, Haisu Wu, Senquan Wu, Jingjing Wu, Cheng Wu, Meng Wu, Geping Wu, Yu Wu, Yumin Wu, Xia Wu, Xian-Run Wu, William Ka Kei Wu, Juan Wu, Pei-Ei Wu, Meng-Hsun Wu, Yingying Wu, S M Wu, Xiangwei Wu, Guangrun Wu, Yangyu Wu, Liuxin Wu, Jia-Hui Wu, Jin-Zhen Wu, S L Wu, Shaohuan Wu, Yanli Wu, June K Wu, Haishan Wu, H Wu, Zhou-Ming Wu, Deqing Wu, Tao Wu, Dong-Bo Wu, Binxin Wu, Yalan Wu, Xiangxin Wu, Xueji Wu, Hongxi Wu, Zhonghui Wu, Jiaxi Wu, Tianzhi Wu, Meiqi Wu, Weiwei Wu, Yan-Jun Wu, Lijuan Wu, Tingqin Wu, Jianming Wu, P L Wu, Yih-Ru Wu, Lanlan Wu, Jianjun Wu, Jianguang Wu, An-Xin Wu, Xingjie Wu, Jianzhang Wu, Xianan Wu, Wei-Ping Wu, Haoan Wu, Fang-Tzu Wu, Wenwen Wu, Zhongjun Wu, Xi Wu, Teng Wu, Xiaoling Wu, Mengjuan Wu, Wen Wu, Yifan Wu, Yang Wu, Qianhu Wu, Shenyue Wu, Wu-Tian Wu, Qianwen Wu, Ye Wu, Gui-Qin Wu, Lixing Wu, Grace F Wu, Xing-Ping Wu, Ming Wu, Lisha Wu, Yanchuan Wu, Siqi Wu, Yuming Wu, Yuan Wu, Yu-Ting Wu, I H Wu, Minghua Wu, Hailong Wu, Zhenlong Wu, B Wu, Fang Wu, Guanzhong Wu, Liqun Wu, Guifu Wu, Chris Y Wu, Zhikang Wu, Qi-Yong Wu, Qingshi Wu, Zhao-Yang Wu, Man-Jing Wu, Chih-Ching Wu, Jun Wu, Jinhui Wu, Jincheng Wu, Linhong Wu, Hung-Tsung Wu, Tangchun Wu, Xinglong Wu, Zhen-Yang Wu, Ma Wu, Jiu-Lin Wu, Yin Wu, Dongyan Wu, Yong Wu, Yan Wu, Weizhen Wu, Changyu Wu, Fanggeng Wu, Dishan Wu, Yi-Long Wu, Yue Wu, Ge-ru Wu, Jinqiao Wu, Zhongyang Wu, Jing-Wen Wu, Lifang Wu, Songfen Wu, Jia-Wei Wu, Sheng-Li Wu, Yihan Wu, Kebang Wu, Wenyong Wu, Cai-Qin Wu, Yilong Wu, Yanan Wu, Hsiu-Chuan Wu, Xueqian Wu, Yen-Wen Wu, Paul W Wu, Xing-De Wu, Ying-Ting Wu, Yucan Wu, Mingfu Wu, Na-Qiong Wu, Linzhi Wu, Jinze Wu, Xuhan Wu, H J Wu, Ruize Wu, Dirong Wu, Yaohong Wu, Chung-Yi Wu, Jianyi Wu, Jugang Wu, Jiao Wu, Liang-Huan Wu, Xueling Wu, Ruying Wu, Gen Sheng Wu, Zhaoyuan Wu, Andong Wu, Shiwen Wu, Hsan-Au Wu, Yu-Ling Wu, Jia-Qi Wu, Xihai Wu, Yanting Wu, Lulu Wu, Xuxian Wu, Xiaomei Wu, Jingyue Wu, Shuihua Wu, Ren Wu, S Wu, Yupeng Wu, Haoming Wu, Samuel M Wu, Fan Wu, Yuesheng Wu, Yihe Wu, Tiange Wu, Chia-Lung Wu, Shuang Wu, Jiayu Wu, Shengnan Wu, Yaojiong Wu, Zhuoze Wu, Y Wu, Y Y Wu, Depei Wu, Zimu Wu, Yi-Hua Wu, Haiyun Wu, Yanyan Wu, Min Wu, Wenjuan Wu, Guangxi Wu, Jinfeng Wu, Junjie Wu, Yawen Wu, Pinglian Wu, Hui-Hui Wu, Xunwei Wu, Xuefeng Wu, Depeng Wu, Constance Wu, Dianqing Wu, Qibiao Wu, Nan Wu, Hao-Tian Wu, Hanyu Wu, Xiaojiang Wu, Cheng-Jun Wu, San-pin Wu, Xiaofan Wu, Xiwei Wu, Shi-Xin Wu, Shao-Guo Wu, Sunyi Wu, Yueheng Wu, Chengqian Wu, Kuixian Wu, Xin-Xi Wu, Guanyi Wu, Qiuxia Wu, Danhong Wu, Zhong-Jun Wu, Siyi Wu, He Wu, Xiangsheng Wu, Lanxiang Wu, Kaili Wu, Liting Wu, Ping-Hsun Wu, Zheng Wu, Wen-Ling Wu, Jiang-Nan Wu, Huanlin Wu, Yongfei Wu, Catherine A Wu, Leslie Wu, Shuo Wu, Peng-Fei Wu, Meng-Han Wu, Cho-Kai Wu, Hon-Yen Wu, Anguo Wu, Yuguang Philip Wu, Hai-Yin Wu, Yicheng Wu, Xiaolang Wu, Yujie Wu, Qing Wu, V C Wu, Haomin Wu, Xingdong Wu, Hengyu Wu, Jiang Wu, Xiaoli Wu, Chengxi Wu, Junyi Wu, Ling-qian Wu, William K K Wu, Chun Wu, Lesley Wu, Niting Wu, Jiayuan Wu, Xueying Wu, Yingning Wu, S-F Wu, David Wu, Mei-Na Wu, Joshua L Wu, Jin-Shang Wu, Guanzhao Wu, Jianqiang Wu, Runda Wu, Li-Hsien Wu, Rongjie Wu, June-Hsieh Wu, Huazhang Wu, Huanwen Wu, Xiu-Zhi Wu, Xianfeng Wu, Yanran Wu, Weibin Wu, Xuanshuang Wu, Yan Yan Wu, G X Wu, Jiaqi Wu, Runpei Wu, Chien-Ting Wu, Li-Na Wu, Qinfeng Wu, Chia-Chang Wu, Yueming Wu, Renhai Wu, Siyu Wu, Baojian Wu, Yi-Xia Wu, Wei-Yin Wu, Renrong Wu, C-H Wu, Chuan-Ling Wu, Xinran Wu, Fengying Wu, Qiuliang Wu, Guanhui Wu, Jinjie Wu, Wei-Chi Wu, Wei-Xun Wu, Meng-Na Wu, Lin Wu, Wan-Fu Wu, Jiajing Wu, Colin Chih-Chien Wu, Yajie Wu, Qiaowei Wu, Yaru Wu, Xiaoping Wu, Xue-Yan Wu, Weijun Wu, Mengchao Wu, Boquan Wu, Chunyan Wu, Zelai Wu, Pei-Wen Wu, Guojun Wu, Yichen Wu, Ming-Tao Wu, Hsueh-Erh Wu, Guang-Bo Wu, Zhi-Yong Wu, Chia-Zhen Wu, Kay L H Wu, Yong-Hong Wu, Anping Wu, Jiahang Wu, Xiaobin Wu, Ching-Yi Wu, Linzhen Wu, Xiaoxing Wu, Haidong Wu, Zhen-Qi Wu, Mark N Wu, Jianmin Wu, Xianpei Wu, Guanrong Wu, Yanchun Wu, Dongsheng Wu, An-Dong Wu, Ren-Chin Wu, Yuchen Wu, Mengna Wu, Lijun Wu, Zhuanbin Wu, Yanjing Wu, Lun Wu, Haodi Wu, Si-Jia Wu, Yongfa Wu, Ximei Wu, Hai-Ping Wu, Wenyu Wu, Xiangping Wu, L-F Wu, Yixia Wu, Yiran Wu, Haiying Wu, Yanhong Wu, Xiayin Wu, Yushun Wu, Yali Wu, Qitian Wu, Qin Wu, Xiaofu Wu, Jiamei Wu, Xiaoyong Wu, Qiong Wu, Wujun Wu, Xiaoying Wu, N Wu, Peiyi Wu, Yongmei Wu, Xiaojing Wu, Yizhou Wu, Dan Wu, Wen-Qiang Wu, Anshi Wu, Junqing Wu, Xiao-Yang Wu, Zhaoxia Wu, Liyang Wu, Hongke Wu, Mengqiu Wu, Peng Wu, Haibin Wu, Ding Lan Wu, Yingzhi Wu, Kejia Wu, Lecheng Wu, Anyi Wu, Junshu Wu, Jianxin Wu, Deguang Wu, Jiaxuan Wu, W Wu, Justin C Y Wu, Jiong Wu, Yu-Chih Wu, Qinglan Wu, Xinyi Wu, Diana Wu, Zhongluan Wu, Xuefen Wu, Yanqiong Wu, Shengming Wu, Jian-Lin Wu, Donglin Wu, Daren Wu, Lintao Wu, Xiaodong Wu, Chang-Jiun Wu, Chunshuai Wu, Irene X Y Wu, Yaping Wu, Xiping Wu, Yangna Wu, Zongheng Wu, Chia-Chen Wu, Wenyi Wu, Yansheng Wu, Shaojun Wu, Aimin Wu, Caisheng Wu, Xu Wu, Zhongchan Wu, Fei Wu, Yaohua Wu, Yibo Wu, Qinyi Wu, Zhengyu Wu, Yadi Wu, Hang Wu, L Wu, Mingjun Wu, Yuetong Wu, Wen-Juan Wu, Guangming Wu, Lingzhi Wu, Tingting Wu, Yuanbing Wu, Zhong-Yan Wu, Zhuzhu Wu, Cuiyan Wu, Colin O Wu, Baoqin Wu, Shuyan Wu, Hongmei Wu, Guangsen Wu, Xiaolin Wu, An Guo Wu, Kailang Wu, Chien-Sheng Wu, Chun-Hua Wu, Jemma X Wu, Wenqi Wu, Quanhui Wu, Qing-Wu Wu, Yanxiang Wu, Jiajin Wu, Qiao Wu, Yuan Kai Wu
articles
En-Qiang Chen, Meng-Lan Wang, Dong-Mei Zhang +6 more · 2017 · Scientific reports · Nature · added 2026-04-24
Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a life-threatening condition, and the lipid metabolism disorder is common in the development of this disease. This prospective ob Show more
Hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is a life-threatening condition, and the lipid metabolism disorder is common in the development of this disease. This prospective observational study aimed to define the characteristics of plasma apolipoprotein A-V (apoA-V) in long-term outcome prediction of HBV-ACLF, and a total of 330 HBV-ACLF patients were included and followed for more than 12 months. In this cohort, the 4-week, 12-week, 24-week and 48-week cumulative mortality of HBV-ACLF was 18.2%(60/330), 50.9%(168/330), 59.7%(197/330) and 63.3%(209/330), respectively. As compared to survivors, the non-survivors had significantly lower concentrations of plasma apoA-V on admission. Plasma apoA-V concentrations were positively correlated with prothrombin time activity (PTA), and negatively correlated with interleukin-10, tumor necrosis factor-α, and iMELD scores. Though plasma apoA-V, PTA, total bilirubin(TBil) and blood urea nitrogen(BUN) were all independent factors to predict one-year outcomes of HBV-ACLF, plasma apoA-V had the highest prediction accuracy. And its optimal cutoff value for one-year survival prediction was 480.00 ng/mL, which had a positive predictive value of 84.68% and a negative predictive value of 92.23%. In summary, plasma apoA-V decreases significantly in non-survivors of HBV-ACLF, and it may be regarded as a new predictive marker for the prognosis of patients with HBV-ACLF. Show less
📄 PDF DOI: 10.1038/srep45576
APOA5
Mingxuan Cui, Wei Li, Liangkun Ma +6 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
To investigate whether HDL-C level in pregnant Chinese Han women of late second trimester correlated with loci in high-density lipoprotein-cholesterol (HDL-C)-related genes found in genome-wide associ Show more
To investigate whether HDL-C level in pregnant Chinese Han women of late second trimester correlated with loci in high-density lipoprotein-cholesterol (HDL-C)-related genes found in genome-wide association studies (GWAS). Seven single-nucleotide polymorphisms (rs3764261 in The following polymorphisms were statistically associated with HDL-C level after adjusting for age, gestational week, pre-pregnancy BMI and state of GDM or HOMAIR: (i) rs3764261 (b = -0.055 mmol/L, 95% CI -0.101 to -0.008, Several risk alleles found to be related to HDL-C in GWAS are also associated with HDL-C levels in pregnant Chinese Han women and these risk loci contribute additively to low HDL-C levels. Show less
📄 PDF DOI: 10.18632/oncotarget.18128
APOC3
Zhixiu Wang, Peng Shang, Qinggang Li +5 more · 2017 · Scientific reports · Nature · added 2026-04-24
Growth rate and meat quality, two economically important traits in pigs, are controlled by multiple genes and biological pathways. In the present study, we performed a proteomic analysis of longissimu Show more
Growth rate and meat quality, two economically important traits in pigs, are controlled by multiple genes and biological pathways. In the present study, we performed a proteomic analysis of longissimus dorsi muscle from six-month-old pigs from two Chinese native mini-type breeds (TP and DSP) and two introduced western breeds (YY and LL) using isobaric tag for relative and absolute quantification (iTRAQ). In total, 4,815 peptides corresponding to 969 proteins were detected. Comparison of expression patterns between TP-DSP and YY-LL revealed 288 differentially expressed proteins (DEPs), of which 169 were up-regulated and 119 were down-regulated. Functional annotation suggested that 28 DEPs were related to muscle growth and 15 to lipid deposition. Protein interaction network predictions indicated that differences in muscle growth and muscle fibre between TP-DSP and YY-LL groups were regulated by ALDOC, ENO3, PGK1, PGK2, TNNT1, TNNT3, TPM1, TPM2, TPM3, MYL3, MYH4, and TNNC2, whereas differences in lipid deposition ability were regulated by LPL, APOA1, APOC3, ACADM, FABP3, ACADVL, ACAA2, ACAT1, HADH, and PECI. Twelve DEPs were analysed using parallel reaction monitoring to confirm the reliability of the iTRAQ analysis. Our findings provide new insights into key proteins involved in muscle growth and lipid deposition in the pig. Show less
📄 PDF DOI: 10.1038/srep46717
APOC3
Sha Li, Yuan-Lin Guo, Xi Zhao +11 more · 2017 · Scientific reports · Nature · added 2026-04-24
We investigated simultaneously traditional and novel lipid indices, alone or in combination, in predicting coronary severity assessed by Gensini score (GS) in 1605 non-lipid-lowering-drug-treated pati Show more
We investigated simultaneously traditional and novel lipid indices, alone or in combination, in predicting coronary severity assessed by Gensini score (GS) in 1605 non-lipid-lowering-drug-treated patients undergoing coronary angiography. Firstly, levels of triglycerides (TG), total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), non high density lipoprotein cholesterol (non-HDL-C), apolipoprotein (apo) B, lipoprotein (a) [Lp(a)], proprotein convertase subtilisin/kexin type 9 (PCSK9), apoC3, small dense LDL (sdLDL) and large HDL were increased, while HDL-C and apoA1 levels were decreased as GS status (all p for trend <0.05). However, gender stratification analyses showed similar associations between lipids and GS in men but not in women. Secondly, multiple logistic regression analyses indicated that the 12 indices were predictive for high GS (≥24) but not for low GS (1-23) compared with normal coronary (GS = 0) except for TG (neither) and apoB (both). Finally, we found that interactions between two indices with mutually exclusive composition were positively associated with GS status except for couples of TC + apoC3, apoB/PCSK9/apoC3 + sdLDL-C. Concordant elevations in the two showed the highest predictive values for high GS (all p for trend <0.05). Therefore, lipid biomarkers were associated with coronary severity and their adverse changes in combination emerged greater risks in men but not in women. Show less
📄 PDF DOI: 10.1038/s41598-017-00499-9
APOC3
Sha Li, Xi Zhao, Yan Zhang +10 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
Plasma levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein C-III (apoC3) and small dense low density lipoprotein cholesterol (sdLDL-C), have been recently recognized as cir Show more
Plasma levels of proprotein convertase subtilisin/kexin type 9 (PCSK9), apolipoprotein C-III (apoC3) and small dense low density lipoprotein cholesterol (sdLDL-C), have been recently recognized as circulating atherosclerosis-related lipid measurements. We aimed to elucidate their associations with current dyslipidemias, and identify their levels at increased risk to dyslipidemia. A total of 1,605 consecutive, non-treated patients undergoing diagnostic/interventional coronary angiography were examined. Plasma PCSK9 and apoC3 levels were determined using a validated ELISA assay, and sdLDL-C was measured by the Lipoprint LDL System. Plasma levels of PCSK9, apoC3, and sdLDL-C were associated with the current dyslipidemias classification (all p<0.001). PCSK9 significantly conferred prediction of both hypercholesterolemia and combined hyperlipidemia at a level of 235 ng/ml; apoC3 levels for hypertriglyceridemia, hypercholesterolemia and combined hyperlipidemia were 80.0, 71.5, and 86.4 μg/ml, respectively; and sdLDL-C for hypertriglyceridemia, hypercholesterolemia, combined hyperlipidemia and hypo high density lipoprotein (HDL) cholesterolemia 3.5, 2.5, 4.5, and 2.5 mg/dl, respectively (all p<0.001 for area under the receiver-operating characteristic curve). In a polytomous logistic model comparing increasing LDL-C categories, the interactions with high PCSK9, apoC3, and sdLDL-C elevated gradually. Similarly, apoC3 and sdLDL-C showed elevated interaction with increased triglyceride categories, and only sdLDL-C showed interaction with decreased HDL cholesterol (HDL-C) categories. Furthermore, discordances of PCSK9, apoC3, and sdLDL-C with current dyslipidemias were observed. PCSK9, apoC3, and sdLDL-C showed significant interactions with current dyslipidemias, and were predictive in the screening. The substantial discordances with current dyslipidemias might provide novel view in lipid management and further cardiovascular benefit. Show less
📄 PDF DOI: 10.18632/oncotarget.12471
APOC3
Hailiang Xu, Yunyun Feng, Zhankui Jia +7 more · 2017 · Oncology letters · added 2026-04-24
Axis inhibition protein 1 (AXIN1) is characterized as a tumor suppressor in numerous types of cancer. However, the functional role of AXIN1 in the testicular germ cell tumors (TGCTs) remains unclear. Show more
Axis inhibition protein 1 (AXIN1) is characterized as a tumor suppressor in numerous types of cancer. However, the functional role of AXIN1 in the testicular germ cell tumors (TGCTs) remains unclear. The human embryonal carcinoma-derived cell line NTera2 was transfected with a recombinant AXIN1 expression vector (pcDNA3.1-AXIN1) and/or a small interfering RNA (siRNA) directed against AXIN1 (siAXIN). Following transfection, the mRNA and protein levels of AXIN1 were determined via reverse transcription-quantitative polymerase chain reaction analysis and western blotting, respectively. In addition, cell viability, apoptosis and the expression of apoptosis-associated proteins [apoptosis regulator Bax (Bax) and B-cell lymphoma (Bcl)-2] and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) signaling pathway proteins [phosphorylated (p)-mTOR, mTOR, p-AKT, AKT, P-70S ribosomal protein S6 (S6) and S6] were assessed. AXIN1 mRNA and protein levels were increased following transfection with pcDNA3.1-AXIN1 and decreased following transfection with siAXIN1 compared with their respective control groups. After overexpression of AXIN1, NTera2 cell viability and expression of Bcl-2, p-mTOR p-AKT and p-S6 protein was decreased, while apoptosis and Bax protein levels were increased, compared with the control group. However, there was no significant difference in AXIN1 mRNA expression, apoptosis or Bax/Bcl-2 protein expression when NTera2 cells were simultaneously transfected with pcDNA3.1-AXIN1+siAXIN1. In conclusion, the results of the present study indicate that overexpression of AXIN1 protects against TGCTs via inhibiting the PI3K/AKT/mTOR signaling pathway, suggesting that AXIN1 may be a potential target for gene therapy in TGCTs. Show less
no PDF DOI: 10.3892/ol.2017.6214
AXIN1
Dapeng Jin, Yong-Guo Zhang, Shaoping Wu +6 more · 2017 · The Journal of steroid biochemistry and molecular biology · Elsevier · added 2026-04-24
Axin1 is a scaffold protein in the β-catenin destruction complex, which, if disrupted, contributes to pathogenesis of various human diseases, including colorectal carcinogenesis and inflammatory bowel Show more
Axin1 is a scaffold protein in the β-catenin destruction complex, which, if disrupted, contributes to pathogenesis of various human diseases, including colorectal carcinogenesis and inflammatory bowel diseases (IBD). We have previously demonstrated that Salmonella infection promotes the degradation and plasma sequestration of Axin1, leading to bacterial invasiveness and inflammatory responses. Vitamin D and the vitamin D receptor (VDR) appear to be important regulators of IBD and colon cancer. Although VDR and Axin1 are all involved in intestinal inflammation, it remains unclear whether these processes are related or function independently. In the current study, we hypothesize that VDR is an important regulator for the maintenance of physiological level of Axin1. Using the intestinal epithelial conditional VDR knockout mouse model (VDR We found that VDR deletion led to lower protein and mRNA levels of Axin1, whereas knockdown of Axin1 did not change the expression level of VDR protein. Immunoprecipitation data did not support physical interaction between VDR and Axin1. The VDR regulation of Axin1 was through a VDR genomic binding site for Axin1 gene on the regulatory region. Fractionation data showed that cytosolic Axin1 was significantly reduced due to VDR deletion, leaving the nuclear fraction unchanged. In ileum, Axin1 was distributed in the cytosol of apical epithelium and crypts. VDR is important for the maintenance of physiological level of Axin1. The discovery of Axin1 as a VDR target gene provides novel and fundamental insights into the interactions between the VDR and β-catenin signaling pathways. Show less
📄 PDF DOI: 10.1016/j.jsbmb.2016.09.002
AXIN1
Ben J Wu, Yue Li, Kwok L Ong +6 more · 2017 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
Angioplasty and stent implantation, the most common treatment for atherosclerotic lesions, have a significant failure rate because of restenosis. This study asks whether increasing plasma high-density Show more
Angioplasty and stent implantation, the most common treatment for atherosclerotic lesions, have a significant failure rate because of restenosis. This study asks whether increasing plasma high-density lipoprotein (HDL) levels by inhibiting cholesteryl ester transfer protein activity with the anacetrapib analog, des-fluoro-anacetrapib, prevents stent-induced neointimal hyperplasia. New Zealand White rabbits received normal chow or chow supplemented with 0.14% (wt/wt) des-fluoro-anacetrapib for 6 weeks. Iliac artery endothelial denudation and bare metal steel stent deployment were performed after 2 weeks of des-fluoro-anacetrapib treatment. The animals were euthanized 4 weeks poststent deployment. Relative to control, dietary supplementation with des-fluoro-anacetrapib reduced plasma cholesteryl ester transfer protein activity and increased plasma apolipoprotein A-I and HDL cholesterol levels by 53±6.3% and 120±19%, respectively. Non-HDL cholesterol levels were unaffected. Des-fluoro-anacetrapib treatment reduced the intimal area of the stented arteries by 43±5.6% ( Inhibiting cholesteryl ester transfer protein activity in New Zealand White rabbits with iliac artery balloon injury and stent deployment increases HDL levels, inhibits vascular smooth muscle cell proliferation, and reduces neointimal hyperplasia in an scavenger receptor-B1, PDZ domain-containing protein 1- and phosphatidylinositol-3-kinase/Akt-dependent manner. Show less
no PDF DOI: 10.1161/ATVBAHA.117.310051
CETP
Thomas J Povsic, Rob Scott, Kenneth W Mahaffey +17 more · 2017 · Cardiovascular drugs and therapy · Springer · added 2026-04-24
The need for novel approaches to cardiovascular drug development served as the impetus to convene an open meeting of experts from the pharmaceutical industry and academia to assess the challenges and Show more
The need for novel approaches to cardiovascular drug development served as the impetus to convene an open meeting of experts from the pharmaceutical industry and academia to assess the challenges and develop solutions for drug discovery in cardiovascular disease. The Novel Cardiovascular Therapeutics Summit first reviewed recent examples of ongoing or recently completed programs translating basic science observations to targeted drug development, highlighting successes (protein convertase sutilisin/kexin type 9 [PCSK9] and neprilysin inhibition) and targets still under evaluation (cholesteryl ester transfer protein [CETP] inhibition), with the hope of gleaning key lessons to successful drug development in the current era. Participants then reviewed the use of innovative approaches being explored to facilitate rapid and more cost-efficient evaluations of drug candidates in a short timeframe. We summarize observations gleaned from this summit and offer insight into future cardiovascular drug development. The rapid development in genetic and high-throughput drug evaluation technologies, coupled with new approaches to rapidly evaluate potential cardiovascular therapies with in vitro techniques, offer opportunities to identify new drug targets for cardiovascular disease, study new therapies with better efficiency and higher throughput in the preclinical setting, and more rapidly bring the most promising therapies to human testing. However, there must be a critical interface between industry and academia to guide the future of cardiovascular drug development. The shared interest among academic institutions and pharmaceutical companies in developing promising therapies to address unmet clinical needs for patients with cardiovascular disease underlies and guides innovation and discovery platforms that are significantly altering the landscape of cardiovascular drug development. Show less
no PDF DOI: 10.1007/s10557-017-6739-9
CETP
Min Nie, Ying Wang, Wei Li +6 more · 2017 · Journal of clinical lipidology · Elsevier · added 2026-04-24
Hyperlipidemia has unique adverse effects on pregnant women and their offspring. The underlying genetic factors related to lipid levels in pregnant populations need more studies. This study aimed to i Show more
Hyperlipidemia has unique adverse effects on pregnant women and their offspring. The underlying genetic factors related to lipid levels in pregnant populations need more studies. This study aimed to investigate the relationship between 6 single-nucleotide polymorphisms (SNPs) and plasma lipid levels during pregnancy. A total of 2060 pregnant women were recruited. Fasting plasma lipids were measured in the third trimester of pregnancy. Six SNPs (rs1260326 in GCKR, rs1800775 in CETP, rs515135 in APOB, rs1800588 in LIPC, rs964184 in ZPR1, and and rs4420638 in APOC1 of each participant were genotyped using TaqMan allelic discrimination assays. The relationships between the 6 loci and plasma lipids were analyzed using a multiple linear regression method. Two variants, rs1260326 (β = 0.220, 95% confidence interval [CI] = 0.148-0.291; P = 2.048 × 10 Loci found by genome-wide association studies to be associated with plasma lipid levels in the general population were also related to lipid levels in the third trimester of pregnancy. This finding implies that changes to lipid profiles during gestation may be associated with SNPs of lipid-related genes. Variants of lipid-related genes are important predictors for estimating lipid concentrations during the pregnancy. Show less
no PDF DOI: 10.1016/j.jacl.2017.06.006
CETP
Xiao-Min Bu, Dong-Mei Niu, Jia Wu +3 more · 2017 · Lipids in health and disease · BioMed Central · added 2026-04-24
Preβ1-high-density lipoprotein (preβ1-HDL), plays an important role in reverse cholesterol transport and exhibits potent risk for coronary artery disease (CAD). However, the association of plasma preβ Show more
Preβ1-high-density lipoprotein (preβ1-HDL), plays an important role in reverse cholesterol transport and exhibits potent risk for coronary artery disease (CAD). However, the association of plasma preβ1-HDL and cholesterol ester transfer protein (CETP) levels in CAD patients and the relationship of preβ1-HDL with extent of CAD are debatable. Preβ1-HDL and CETP levels were measured by enzymed-linked immunosorbent assay (ELISAs) in 88 acute coronary syndromes (ACS), 79 stable coronary artery disease (SCAD) patients and 85 control subjects. The correlation analyses, multiple linear regression analyses and logistic regression analyses were performed, respectively. The preβ1-HDL and CETP levels in ACS patients were significantly higher than those in SCAD patients and both of them were higher than controls'. Preβ1-HDL levels were positively associated with CETP (R = 0.348, P = 0.000), the diameter of stenosis (R = 0.253, P = 0.005), the number of vessel disease (R = 0.274, P = 0.002) and Gensini score (R = 0.227, P = 0.009) in CAD patients. Stepwise multiple linear regression analyses showed that CETP was one of the determinants of preβ1-HDL levels. Logistic regression analysis revealed that elevated preβ1-HDL and CETP were potential risk factors for both ACS and SCAD. The elevated preβ1-HDL levels may change with CETP concentrations in CAD patients and were related to the presence and severity of CAD. Show less
📄 PDF DOI: 10.1186/s12944-016-0394-1
CETP
Michela Palmieri, Rituraj Pal, Hemanth R Nelvagal +17 more · 2017 · Nature communications · Nature · added 2026-04-24
Neurodegenerative diseases characterized by aberrant accumulation of undigested cellular components represent unmet medical conditions for which the identification of actionable targets is urgently ne Show more
Neurodegenerative diseases characterized by aberrant accumulation of undigested cellular components represent unmet medical conditions for which the identification of actionable targets is urgently needed. Here we identify a pharmacologically actionable pathway that controls cellular clearance via Akt modulation of transcription factor EB (TFEB), a master regulator of lysosomal pathways. We show that Akt phosphorylates TFEB at Ser467 and represses TFEB nuclear translocation independently of mechanistic target of rapamycin complex 1 (mTORC1), a known TFEB inhibitor. The autophagy enhancer trehalose activates TFEB by diminishing Akt activity. Administration of trehalose to a mouse model of Batten disease, a prototypical neurodegenerative disease presenting with intralysosomal storage, enhances clearance of proteolipid aggregates, reduces neuropathology and prolongs survival of diseased mice. Pharmacological inhibition of Akt promotes cellular clearance in cells from patients with a variety of lysosomal diseases, thus suggesting broad applicability of this approach. These findings open new perspectives for the clinical translation of TFEB-mediated enhancement of cellular clearance in neurodegenerative storage diseases. Show less
📄 PDF DOI: 10.1038/ncomms14338
CLN3
Tong-Hong Wang, Chi-Hao Wu, Chau-Ting Yeh +6 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
Melatonin is the primary pineal hormone that relays light/dark cycle information to the circadian system. It was recently reported to exert intrinsic antitumor activity in various cancers. However, th Show more
Melatonin is the primary pineal hormone that relays light/dark cycle information to the circadian system. It was recently reported to exert intrinsic antitumor activity in various cancers. However, the regulatory mechanisms underlying the antitumor activity of melatonin are poorly understood. Moreover, a limited number of studies have addressed the role of melatonin in hepatocellular carcinoma (HCC), a major life-threatening malignancy in both sexes in Taiwan. In this study, we investigated the antitumor effects of melatonin in HCC and explored the regulatory mechanisms underlying these effects. We observed that melatonin significantly inhibited the proliferation, migration, and invasion of HCC cells and significantly induced the expression of the transcription factor FOXA2 in HCC cells. This increase in FOXA2 expression resulted in upregulation of lncRNA-CPS1 intronic transcript 1 (CPS1-IT1), which reduced HIF-1α activity and consequently resulted in the suppression of epithelial-mesenchymal transition (EMT) progression and HCC metastasis. Furthermore, the results of the Show less
📄 PDF DOI: 10.18632/oncotarget.19316
CPS1
Yi Wang, Le Chang, Jiahui Zhai +3 more · 2017 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Both primary hepatocytes and stem cells-derived hepatocyte-like cells (HLCs) are major sources for bioartificial liver (BAL). Maintenance of hepatocellular functions and induction of functional maturi Show more
Both primary hepatocytes and stem cells-derived hepatocyte-like cells (HLCs) are major sources for bioartificial liver (BAL). Maintenance of hepatocellular functions and induction of functional maturity of HLCs are critical for BAL's support effect. It remains difficult to assess and improve detoxification functions inherent to hepatocytes, including ammonia clearance. Here, we aim to assess ammonia metabolism and identify ammonia detoxification enhancer by developing an imaging strategy. In hepatoma cell line HepG2, and immortalized hepatic cell line LO2, carbamoyl phosphate synthetase 1 (CPS1) gene, the first enzyme of ammonia-eliminating urea cycle, was labelled with fluorescence protein via CRISPR/Cas9 system. With the reporter-based screening approach, cellular detoxification enhancers were selected among a collection of 182 small molecules. In both CPS1 reporter cell lines, the fluorescence intensity is positively correlated with cellular CPS1 mRNA expression, ammonia elimination and secreted urea, and reflected ammonia detoxification in a dose-dependent manner. Surprisingly, high-level CPS1 reporter clones also reserved many other critical hepatocellular functions, for example albumin secretion and cytochrome 450 metabolic functions. Sodium phenylbutyrate and resveratrol were identified to enhance metabolism-related gene expression and liver-enriched transcription factors C/EBPα, HNF4α. In conclusion, the CPS1-reporter system provides an economic and effective platform for assessment of cellular metabolic function and high-throughput identification of chemical compounds that improve detoxification activities in hepatic lineage cells. Show less
📄 PDF DOI: 10.1111/jcmm.13225
CPS1
Francesca Stillitano, Jens Hansen, Chi-Wing Kong +15 more · 2017 · eLife · added 2026-04-24
A large number of drugs can induce prolongation of cardiac repolarization and life-threatening cardiac arrhythmias. The prediction of this side effect is however challenging as it usually develops in Show more
A large number of drugs can induce prolongation of cardiac repolarization and life-threatening cardiac arrhythmias. The prediction of this side effect is however challenging as it usually develops in some genetically predisposed individuals with normal cardiac repolarization at baseline. Here, we describe a platform based on a genetically diverse panel of induced pluripotent stem cells (iPSCs) that reproduces susceptibility to develop a cardiotoxic drug response. We generated iPSC-derived cardiomyocytes from patients presenting in vivo with extremely low or high changes in cardiac repolarization in response to a pharmacological challenge with sotalol. In vitro, the responses to sotalol were highly variable but strongly correlated to the inter-individual differences observed in vivo. Transcriptomic profiling identified dysregulation of genes ( Show less
📄 PDF DOI: 10.7554/eLife.19406
DLG2
Jia Nee Foo, Louis C Tan, Ishak D Irwan +39 more · 2017 · Human molecular genetics · Oxford University Press · added 2026-04-24
Genome-wide association studies (GWAS) on Parkinson's disease (PD) have mostly been done in Europeans and Japanese. No study has been done in Han Chinese, which make up nearly a fifth of the world pop Show more
Genome-wide association studies (GWAS) on Parkinson's disease (PD) have mostly been done in Europeans and Japanese. No study has been done in Han Chinese, which make up nearly a fifth of the world population. We conducted the first Han Chinese GWAS analysing a total of 22,729 subjects (5,125 PD cases and 17,604 controls) from Singapore, Hong Kong, Malaysia, Korea, mainland China and Taiwan. We performed imputation, merging and logistic regression analyses of 2,402,394 SNPs passing quality control filters in 779 PD cases, 13,227 controls, adjusted for the first three principal components. 90 SNPs with association P < 10-4 were validated in 9 additional sample collections and the results were combined using fixed-effects inverse-variance meta-analysis. We observed strong associations reaching genome-wide significance at SNCA, LRRK2 and MCCC1, confirming their important roles in both European and Asian PD. We also identified significant (P < 0.05) associations at 5 loci (DLG2, SIPA1L2, STK39, VPS13C and RIT2), and observed the same direction of associations at 9 other loci including BST1 and PARK16. Allelic heterogeneity was observed at LRRK2 while European risk SNPs at 6 other loci including MAPT and GBA-SYT11 were non-polymorphic or very rare in our cohort. Overall, we replicate associations at SNCA, LRRK2, MCCC1 and 14 other European PD loci but did not identify Asian-specific loci with large effects (OR > 1.45) on PD risk. Our results also demonstrate some differences in the genetic contribution to PD between Europeans and Asians. Further pan-ethnic meta-analysis with European GWAS cohorts may unravel new PD loci. Show less
no PDF DOI: 10.1093/hmg/ddw379
DLG2
Xihai Wu, Jilan Miao, Jingyan Jiang +1 more · 2017 · European journal of obstetrics, gynecology, and reproductive biology · Elsevier · added 2026-04-24
Endometrial cancer is a prevalent cancer, and its metastasis causes low survival rate. This study aims to utilize DNA methylation data to investigate the mechanism of the development and metastasis of Show more
Endometrial cancer is a prevalent cancer, and its metastasis causes low survival rate. This study aims to utilize DNA methylation data to investigate the mechanism of the development and metastasis of endometrial cancer. Methylation profiling data were down-loaded from Gene Expression Omnibus, including 8 hyperplasias, 33 primary and 53 metastatic endometrial cancers. COHCAP package and annotation files were utilized to identify differentially methylated genes (DMGs) and CpG islands between the three different endometrial diseases. STRING database and Cytoscape were used to analyze and visualize protein-protein interactions (PPIs) between DMGs. CytoNCA plugin was utilized to identify key nodes in PPI network. A total of 610, 1076, and 501 DMGs were identified between primary endometrial cancer and hyperplasia, metastatic endometrial cancer and hyperplasia, as well as metastatic and primary endometrial cancers, respectively. For the three DMG sets, 53 common hypermethylated DMGs (e.g. PAX6 and INSR) and 6 common hypomethylated DMGs (e.g. PRDM8, KLHL14, and DUSP6) were found. For primary-hyperplasia DMG set and metastasis-hyperplasia DMG set, 527 common DMGs were found. For these common DMGs, a PPI network involving 692 PPIs was constructed. For DMGs between metastatic and primary endometrial cancers, a PPI network involving 673 PPIs was established, with PAX6 and INSR in the top 20 DMGs in both networks. PRDM8, KLHL14, and DUSP6 had hypomethylated CpG islands. DMGs comparison, PPI network analysis, and analysis of differentially methylated CpG islands indicated that PAX6, INSR, PRDM8, KLHL14, and DUSP6 might participate in the development and metastasis of endometrial cancer. Show less
no PDF DOI: 10.1016/j.ejogrb.2017.08.036
DUSP6
Yi-Ying Wu, Yi-Ting Hwang, Wann-Cherng Perng +6 more · 2017 · Journal of the Formosan Medical Association = Taiwan yi zhi · Elsevier · added 2026-04-24
Lung cancer is a heterogeneous disease with varied outcomes. Molecular markers are eagerly investigated to predict a patient's treatment response or outcome. Previous studies used frozen biopsy tissue Show more
Lung cancer is a heterogeneous disease with varied outcomes. Molecular markers are eagerly investigated to predict a patient's treatment response or outcome. Previous studies used frozen biopsy tissues to identify crucial genes as prognostic markers. We explored the prognostic value of peripheral blood (PB) molecular signatures in patients with advanced non-small cell lung cancer (NSCLC). Peripheral blood mononuclear cell (PBMC) fractions from patients with advanced NSCLC were applied for RNA extraction, cDNA synthesis, and real-time polymerase chain reaction (PCR) for the expression profiling of eight genes: DUSP6, MMD, CPEB4, RNF4, STAT2, NF1, IRF4, and ZNF264. Proportional hazard (PH) models were constructed to evaluate the association of the eight expressing genes and multiple clinical factors [e.g., sex, smoking status, and Charlson comorbidity index (CCI)] with overall survival. One hundred and forty-one patients with advanced NSCLC were enrolled. They included 109 (77.30%) patients with adenocarcinoma, 12 (8.51%) patients with squamous cell carcinoma, and 20 (14.18%) patients with other pathological lung cancer types. A PH model containing two significant survival-associated genes, CPEB4 and IRF4, could help in predicting the overall survival of patients with advanced stage NSCLC [hazard ratio (HR) = 0.48, p < 0.0001). Adding multiple clinical factors further improved the prediction power of prognosis (HR = 0.33; p < 0.0001). Molecular signatures in PB can stratify the prognosis in patients with advanced NSCLC. Further prospective, interventional clinical trials should be performed to test if gene profiling also predicts resistance to chemotherapy. Show less
no PDF DOI: 10.1016/j.jfma.2016.01.009
DUSP6
Hua He, Meina Huang, Shenfei Sun +2 more · 2017 · PLoS genetics · PLOS · added 2026-04-24
The tree-like structure of the mammalian lung is generated from branching morphogenesis, a reiterative process that is precisely regulated by numerous factors. How the cell surface and extra cellular Show more
The tree-like structure of the mammalian lung is generated from branching morphogenesis, a reiterative process that is precisely regulated by numerous factors. How the cell surface and extra cellular matrix (ECM) molecules regulate this process is still poorly understood. Herein, we show that epithelial deletion of Heparan Sulfate (HS) synthetase Ext1 resulted in expanded branching tips and reduced branching number, associated with several mesenchymal developmental defects. We further demonstrate an expanded Fgf10 expression and increased FGF signaling activity in Ext1 mutant lungs, suggesting a cell non-autonomous mechanism. Consistent with this, we observed reduced levels of SHH signaling which is responsible for suppressing Fgf10 expression. Moreover, reactivating SHH signaling in mutant lungs rescued the tip dilation phenotype and attenuated FGF signaling. Importantly, the reduced SHH signaling activity did not appear to be caused by decreased Shh expression or protein stability; instead, biologically active form of SHH proteins were reduced in both the Ext1 mutant epithelium and surrounding wild type mesenchymal cells. Together, our study highlights the epithelial HS as a key player for dictating SHH signaling critical for lung morphogenesis. Show less
📄 PDF DOI: 10.1371/journal.pgen.1006992
EXT1
Zhengliang L Wu, Xinyi Huang, Cheryl M Ethen +3 more · 2017 · Glycobiology · Oxford University Press · added 2026-04-24
Heparan sulfate (HS) is a linear polysaccharide found in the extracellular matrix (ECM) and on the cell membrane. It plays numerous roles in cellular events, including cell growth, migration and diffe Show more
Heparan sulfate (HS) is a linear polysaccharide found in the extracellular matrix (ECM) and on the cell membrane. It plays numerous roles in cellular events, including cell growth, migration and differentiation through binding to various growth factors, cytokines and other ECM proteins. Heparanase (HPSE) is an endoglycosidase that cleaves HS in the ECM and cell membrane. By degrading HS, HPSE not only alters the integrity of the ECM but also releases growth factors and angiogenic factors bound to HS chains, therefore, changes various cellular activities, including cell mobility that is critical for cancer metastasis. Accordingly, HPSE is an ideal drug target for cancer therapeutics. Here, we describe a method for non-reducing end labeling of HS via click chemistry (CC), and further use it in a novel HPSE assay. HS chains on a recombinant human syndecan-4 are first labeled at their non-reducing ends with GlcNAz using dimeric HS polymerase EXT1/EXT2. The labeled sample is then biotinylated through CC, immobilized on a multi-well plate and detected with ELISA. HPSE digestion of the biotinylated sample removes the label and, therefore, reduces the signal in ELISA assay. Non-reducing end labeling avoids the interference in an HPSE reaction caused by any internal labeling of HS. The assay is very sensitive with only 2.5 ng of labeled syndecan-4 needed in each reaction. The assay is also highly reproducible with a Z' > 0.6. Overall, this new method is suitable for high-throughput drug screening on HPSE. Show less
no PDF DOI: 10.1093/glycob/cww130
EXT1
Fa Chen, Lin Chen, Lingjun Yan +11 more · 2017 · Wei sheng yan jiu = Journal of hygiene research · added 2026-04-24
To evaluate the independent and joint effects of FADS1 polymorphism and fish oil intake on oral squamous cell carcinoma( OSCC). A case-control study was conducted with 259 newly diagnosed primary OSCC Show more
To evaluate the independent and joint effects of FADS1 polymorphism and fish oil intake on oral squamous cell carcinoma( OSCC). A case-control study was conducted with 259 newly diagnosed primary OSCC patients and538 controls frequency-matched by sex and age in Fujian from September 2010 to September 2014. Data on demographics and dietary habits such as marine fish oil intake were collected using a structure questionnaire. FADS1 rs174549 genotype was determined using Taq Man genotyping assays. Unconditional logistic regression was used to the oddsratios( ORs) and their 95% confidence intervals( CI) of FADS1 polymorphism and fish oil intake for OSCC. FADS1 rs174549 AA genotype was associated with decreased risk of OSCC( codominant model: OR = 0. 53, 95% CI 0. 33-0. 85; recessive model: OR = 0. 57, 95% CI 0. 38-0. 87). Compared with those who non-intake marine fish oil, regularly intake of marine fish oil decreased the risk of OSCC( OR = 0. 54, 95%CI: 0. 32-0. 91). Moreover, a multiplicative interaction between FADS1 rs174549 polymorphism and marine fish oil intake for oral cancer( OR₍multiplicative)= 0. 31, 95% CI0. 11-0. 87). FADS1 rs174549 polymorphism and marine fish oil intake may be independent protective factors for OSCC with a gene-diet multiplicative interaction. Show less
no PDF
FADS1
Yao Hu, Toshiko Tanaka, Jingwen Zhu +30 more · 2017 · Journal of lipid research · added 2026-04-24
MUFAs are unsaturated FAs with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels are associated Show more
MUFAs are unsaturated FAs with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels are associated with cardiometabolic disorders, including CVD, T2D, and metabolic syndrome (MS). Previous genome-wide association studies (GWASs) have identified seven loci for plasma and erythrocyte palmitoleic and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential functional variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in more than 15,000 participants of Chinese and European ancestry. We identified novel genome-wide significant associations for vaccenic acid at Show less
📄 PDF DOI: 10.1194/jlr.P071860
FADS1
Fa Chen, Tao Lin, Lingjun Yan +8 more · 2017 · Oncotarget · Impact Journals · added 2026-04-24
The aim of this study was to investigate the independent and combined effects of fatty acid desaturase 1 (FADS1) gene polymorphism and fish consumption on oral cancer. A hospital-based case-control st Show more
The aim of this study was to investigate the independent and combined effects of fatty acid desaturase 1 (FADS1) gene polymorphism and fish consumption on oral cancer. A hospital-based case-control study was performed including 305 oral cancer patients and 579 cancer-free controls. The genotypes were determined by TaqMan genotyping assay. Non-conditional logistic regression model was used to assess the effects of FADS1 rs174549 polymorphism and fish intake. Subjects carrying A allele of rs174549 significantly reduced the risk of oral cancer (AA VS GG, OR: 0.65, 95% CI: 0.42-0.99; AA VS AG+GG, OR: 0.67, 95% CI: 0.46-0.98). Moreover, the statistically significant reverse associations were especially evident in men, smokers, alcohol drinkers and those age ≤ 60 years. Additionally, fish intake ≥7 times/week showed a 73% reduction in risk for oral cancer compared to those who ate fish less than 2 times/week (OR: 0.27, 95% CI: 0.18-0.42). Furthermore, a significant gene-diet multiplicative interaction was observed between FADS1 rs174549 polymorphism and fish intake for oral cancer (P=0.028). This preliminary study suggests that FADS1 rs174549 polymorphism and fish consumption may be protective factors for oral cancer, with a gene-diet multiplicative interaction. Functional studies with larger samples are required to confirm our findings. Show less
📄 PDF DOI: 10.18632/oncotarget.15069
FADS1
Yixia Wu, Lixin Zeng, Xueyan Chen +5 more · 2017 · Prostaglandins, leukotrienes, and essential fatty acids · Elsevier · added 2026-04-24
We investigated the association of single nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) gene cluster with coronary artery disease (CAD) in a case-control study and evaluated the Show more
We investigated the association of single nucleotide polymorphisms (SNPs) in the fatty acid desaturase (FADS) gene cluster with coronary artery disease (CAD) in a case-control study and evaluated the possible influence of genetic variation on total cholesterol (TC) and triglyceride concentrations in the controls. In total, 497 CAD patients and 495 unrelated controls were genotyped for eight SNPs in the FADS gene cluster, and the blood lipid levels of subjects were measured. Three genetic models, including codominant, dominant and recessive, were used to analyze the genotypic relationship with CAD and plasma lipid levels. Single locus genotypic analysis revealed that rs1000778 in FADS3 under a recessive model (AA vs. GG-GA) was significantly associated with CAD adjusted for risk factors. The rs1000778 minor allele AA was associated with a lower risk of CAD (OR =0.37, 95% CI: 0.15-0.89, P=0.025). In the control group, there were significant differences in TC concentrations under a recessive genetic model for rs174575 (C/G) in FADS2 and for rs174450 (A/C) and rs7115739 (G/T) in FADS3 (P=0.053, 0.016 and 0.018, respectively). The rs1000778-G variant in FADS3 may contribute to the susceptibility of CAD, but the result needs to be further confirmed because of small sample size in our study. Genetic variations in FADS2 and FADS3 influence TC concentration in the northern Chinese Han population. Show less
no PDF DOI: 10.1016/j.plefa.2017.01.014
FADS3
Xueying Tian, Yan Li, Lingjuan He +22 more · 2017 · Nature communications · Nature · added 2026-04-24
Noncompaction cardiomyopathy is characterized by the presence of extensive trabeculations, which could lead to heart failure and malignant arrhythmias. How trabeculations resolve to form compact myoca Show more
Noncompaction cardiomyopathy is characterized by the presence of extensive trabeculations, which could lead to heart failure and malignant arrhythmias. How trabeculations resolve to form compact myocardium is poorly understood. Elucidation of this process is critical to understanding the pathophysiology of noncompaction disease. Here we use genetic lineage tracing to mark the Nppa Show less
📄 PDF DOI: 10.1038/s41467-017-00118-1
HEY2
Bingqing Yu, Zhaoxiang Liu, Jiangfeng Mao +10 more · 2017 · Steroids · Elsevier · added 2026-04-24
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) converts the inactive Δ4-androstenedione (A) to testosterone (T). Its deficiency is the most common testosterone biosynthesis defect that results in Show more
17β-Hydroxysteroid dehydrogenase type 3 (17β-HSD3) converts the inactive Δ4-androstenedione (A) to testosterone (T). Its deficiency is the most common testosterone biosynthesis defect that results in 46,XY Disorders Of Sex Development (DSD). However, the disease is difficult to distinguish from other 46,XY DSD for similar clinical phenotypes. Therefore, genetic testing provides good criteria for the diagnosis of the disease. In this study, HSD17B3 gene was examined in 3 unrelated Chinese patients with 46,XY DSD. Direct sequencing and quantitative PCR of HSD17B3 gene revealed the presence of a compound heterozygous mutation (p.I60T/exon1 deletion) in Patient 1, a homozygous (p.I60T) mutation in Patient 2 and a frameshift mutation (p.V25Efs∗54) and an exon1 deletion in Patient 3. All of the mutations have not been reported previously. These novel mutations may expand the mutation database of HSD17B3 gene and provide us new insights into the molecular mechanism of 17β-HSD3 deficiency. It is noteworthy that when direct sequence analysis showed a rare homozygous mutation in patients with non-consanguineous parents, "apparent homozygosity" should be taken into an account and the intragenic deletion should be screened. In addition, when single mutation was found in patients with disease in recessive heredity mode, the intragenic deletion should also be screened. Show less
no PDF DOI: 10.1016/j.steroids.2017.07.009
HSD17B12
Chih-Ping Chen, Chen-Yu Chen, Schu-Rern Chern +6 more · 2017 · Taiwanese journal of obstetrics & gynecology · Elsevier · added 2026-04-24
We present molecular cytogenetic characterization of a duplication of 15q24.2-q26.2 associated with anencephaly and neural tube defect (NTD). A 35-year-old pregnant woman was found to have a fetus wit Show more
We present molecular cytogenetic characterization of a duplication of 15q24.2-q26.2 associated with anencephaly and neural tube defect (NTD). A 35-year-old pregnant woman was found to have a fetus with anencephaly by prenatal ultrasound at 12 weeks of gestation. The pregnancy was subsequently terminated, and a malformed fetus was delivered with anencephaly. Cytogenetic analysis of the cultured placental tissues revealed a karyotype of 46,XX,dup(15) (q24.2q26.2). Parental karyotypes were normal. Array comparative genomic hybridization analysis of the placental tissues revealed a 20.36-Mb duplication of 15q24.2-q26.2 encompassing 100 Online Mendelian Inheritance of in Man (OMIM) genes including LINGO1, MTHFS, KIF7 and CHD2. Metaphase fluorescence in situ hybridization analysis using 15q25.1-specidic probe confirmed a duplication of 15q25.1. Polymorphic DNA marker analysis showed a maternal origin of the duplication. A duplication of chromosome 15q24.2-q26.2 can be associated with NTD. Show less
no PDF DOI: 10.1016/j.tjog.2017.06.003
LINGO1
Yaqin Wu, Jiabao Zhuang, Dan Zhao +3 more · 2017 · Acta odontologica Scandinavica · Taylor & Francis · added 2026-04-24
This study aimed to explore the mechanism of the stretch-induced cell realignment and cytoskeletal rearrangement by identifying several mechanoresponsive genes related to cytoskeletal regulators in hu Show more
This study aimed to explore the mechanism of the stretch-induced cell realignment and cytoskeletal rearrangement by identifying several mechanoresponsive genes related to cytoskeletal regulators in human PDL cells. After the cells were stretched by 1, 10 and 20% strains for 0.5, 1, 2, 4, 6, 12 or 24 h, the changes of the morphology and content of microfilaments were recorded and calculated. Meanwhile, the expression of 84 key genes encoding cytoskeletal regulators after 6 and 24 h stretches with 20% strain was detected by using real-time PCR array. Western blot was applied to identify the protein expression level of several cytoskeletal regulators encoded by these differentially expressed genes. The confocal fluorescent staining results confirmed that stretch-induced realignment of cells and rearrangement of microfilaments. Among the 84 genes screened, one gene was up-regulated while two genes were down-regulated after 6 h stretch. Meanwhile, three genes were up-regulated while two genes were down-regulated after 24 h stretch. These genes displaying differential expression included genes regulating polymerization/depolymerization of microfilaments (CDC42EP2, FNBP1L, NCK2, PIKFYVE, WASL), polymerization/depolymerization of microtubules (STMN1), interacting between microfilaments and microtubules (MACF1), as well as a phosphatase (PPP1R12B). Among the proteins encoded by these genes, the protein expression level of Cdc42 effector protein-2 (encoded by CDC42EP2) and Stathmin-1 (encoded by STMN1) was down-regulated, while the protein expression level of N-WASP (encoded by WASL) was up-regulated. The present study confirmed the cyclic stretch-induced cellular realignment and rearrangement of microfilaments in the human PDL cells and indicated several force-sensitive genes with regard to cytoskeletal regulators. Show less
no PDF DOI: 10.1080/00016357.2017.1347823
MACF1
Yanlei Ma, Jiping Yue, Yao Zhang +14 more · 2017 · Nature communications · Nature · added 2026-04-24
In the intestinal epithelium, the aberrant regulation of cell/cell junctions leads to intestinal barrier defects, which may promote the onset and enhance the severity of inflammatory bowel disease (IB Show more
In the intestinal epithelium, the aberrant regulation of cell/cell junctions leads to intestinal barrier defects, which may promote the onset and enhance the severity of inflammatory bowel disease (IBD). However, it remains unclear how the coordinated behaviour of cytoskeletal network may contribute to cell junctional dynamics. In this report, we identified ACF7, a crosslinker of microtubules and F-actin, as an essential player in this process. Loss of ACF7 leads to aberrant microtubule organization, tight junction stabilization and impaired wound closure in vitro. With the mouse genetics approach, we show that ablation of ACF7 inhibits intestinal wound healing and greatly increases susceptibility to experimental colitis in mice. ACF7 level is also correlated with development and progression of ulcerative colitis (UC) in human patients. Together, our results reveal an important molecular mechanism whereby coordinated cytoskeletal dynamics contributes to cell adhesion regulation during intestinal wound repair and the development of IBD. Show less
📄 PDF DOI: 10.1038/ncomms15375
MACF1
Erika C Andrade, Veronica Musante, Atsuko Horiuchi +6 more · 2017 · The Journal of neuroscience : the official journal of the Society for Neuroscience · Society for Neuroscience · added 2026-04-24
ARPP-16 (cAMP-regulated phospho-protein of molecular weight 16 kDa) is one of several small acid-soluble proteins highly expressed in medium spiny neurons of striatum that are phosphorylated in respon Show more
ARPP-16 (cAMP-regulated phospho-protein of molecular weight 16 kDa) is one of several small acid-soluble proteins highly expressed in medium spiny neurons of striatum that are phosphorylated in response to dopamine acting via D1 receptor/protein kinase A (PKA) signaling. We show here that ARPP-16 is also phosphorylated Show less
no PDF DOI: 10.1523/JNEUROSCI.4559-15.2017
MAST3