👤 Jiayu Wu

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Also published as: Aimin Wu, Alexander T H Wu, Alice Ying-Jung Wu, An Guo Wu, An-Chih Wu, An-Dong Wu, An-Hua Wu, An-Li Wu, An-Xin Wu, Andong Wu, Anguo Wu, Anke Wu, Anna H Wu, Anping Wu, Anshi Wu, Anyi Wu, Anyue Wu, Anzhou Wu, B Wu, Baiyan Wu, Baochuan Wu, Baojian Wu, Baojin Wu, Baoqin Wu, Beier Wu, Beili Wu, Ben J Wu, Bian Wu, Biaoliang Wu, Bifeng Wu, Bill X Wu, Bin Wu, Binbin Wu, Bing Wu, Bing-Bing Wu, Bingjie Wu, Binxin Wu, Biwei Wu, Bo Wu, Boquan Wu, Buling Wu, C Wu, C-H Wu, Cai-Qin Wu, Caihong Wu, Caisheng Wu, Caiwen Wu, Catherine A Wu, Chang-Jiun Wu, Changchen Wu, Changjie Wu, Changjing Wu, Changwei Wu, Changxin Wu, Changyu Wu, Chao Wu, Chao-Liang Wu, Chaoling Wu, Chaowei Wu, Chen Wu, Chen-Lu Wu, Cheng Wu, Cheng-Chun Wu, Cheng-Hsin Wu, Cheng-Hua Wu, Cheng-Jang Wu, Cheng-Jun Wu, Cheng-Yang Wu, Chengbiao Wu, Chengqian Wu, Chengrong Wu, Chengwei Wu, Chengxi Wu, Chengyu Wu, Chenyang Wu, Chew-Wun Wu, Chi-Chung Wu, Chi-Hao Wu, Chi-Jen Wu, Chia-Chang Wu, Chia-Chen Wu, Chia-Ling Wu, Chia-Lung Wu, Chia-Zhen Wu, Chiao-En Wu, Chieh-Jen Wu, Chieh-Lin Stanley Wu, Chien-Sheng Wu, Chien-Ting Wu, Chih-Ching Wu, Chih-Chung Wu, Chih-Hsing Wu, Ching-Yi Wu, Cho-Kai Wu, Chong Wu, Chongming Wu, Choufei Wu, Chris Y Wu, Chuan-Ling Wu, Chuang Wu, Chuanhong Wu, Chun Wu, Chun-Chieh Wu, Chun-Hua Wu, Chunfu Wu, Chung-Yi Wu, Chunru Wu, Chunshuai Wu, Chunyan Wu, Colin Chih-Chien Wu, Colin O Wu, Cong Wu, Congying Wu, Constance Wu, Cuiling Wu, Cuiyan Wu, D I Wu, D P Wu, D Wu, Da-Hua Wu, Dai-Chao Wu, Dan Wu, Dan-Chun Wu, Dandan Wu, Danhong Wu, Danni Wu, Daoyuan Wu, Dapeng Wu, Daqing Wu, Daren Wu, David Wu, Daxian Wu, De Wu, De-Fu Wu, Deguang Wu, Dengying Wu, Depei Wu, Depeng Wu, Deqing Wu, Di Wu, Diana H Wu, Diana Wu, Dianqing Wu, Ding Lan Wu, Dirong Wu, Dishan Wu, Disheng Wu, Do-Bo Wu, Dong Wu, Dong-Bo Wu, Dong-Fang Wu, Dong-Feng Wu, Donglin Wu, Dongmei Wu, Dongping Wu, Dongsheng Wu, Dongyan Wu, Dongzhe Wu, Douglas C Wu, Duojiao Wu, Ed Xuekui Wu, Eugenia Wu, Fan Wu, Fanchang Wu, Fang Wu, Fang-Tzu Wu, Fangge Wu, Fanggeng Wu, Fei Wu, Fei-Fei Wu, Feifei Wu, Fenfang Wu, Feng Wu, Fengming Wu, Fengying Wu, Fong-Li Wu, G Wu, G X Wu, Gaige Wu, Gang Wu, Gaojun Wu, Ge-ru Wu, Gen Sheng Wu, Gen Wu, Geng-ze Wu, Geping Wu, Geting Wu, Geyan Wu, Grace F Wu, Guang-Bo Wu, Guang-Liang Wu, Guang-Long Wu, Guanggeng Wu, Guangjie Wu, Guangming Wu, Guangrun Wu, Guangsen Wu, Guangxi Wu, Guangxian Wu, Guangyan Wu, Guangzhen Wu, Guanhui Wu, Guanming Wu, Guanrong Wu, Guanxian Wu, Guanyi Wu, Guanzhao Wu, Guanzhong Wu, Gui-Qin Wu, Guifen Wu, Guifu Wu, Guihua Wu, Guiping Wu, Guixin Wu, Guizhen Wu, Guo-Chao Wu, Guofeng Wu, Guohao Wu, Guojun Wu, Guoli Wu, Guoping Wu, Guoqing Wu, Guorong Wu, Guoyao Wu, H J Wu, H Wu, Hai-Ping Wu, Hai-Yan Wu, Hai-Yin Wu, Haibin Wu, Haidong Wu, Haihu Wu, Haijiang Wu, Haijing Wu, Hailong Wu, Haiping Wu, Haishan Wu, Haisu Wu, Haiwei Wu, Haixia Wu, Haiyan Wu, Haiying Wu, Haiyun Wu, Han Wu, Han-Jie Wu, Hang Wu, Hanyu Wu, Hao Wu, Hao-Tian Wu, Haoan Wu, Haodi Wu, Haomin Wu, Haoming Wu, Haoxuan Wu, Haoze Wu, He Wu, Hei Man Wu, Hei-Man Wu, Hengyu Wu, Hon-Yen Wu, Hong Wu, Hong-Fu Wu, Hong-Mei Wu, Hongfei Wu, Hongfu Wu, Hongke Wu, Hongliang Wu, Honglin Wu, Hongmei Wu, Hongting Wu, Hongxi Wu, Hongxian Wu, Hongyan Wu, Hongyu Wu, Hsan-Au Wu, Hsi-Chin Wu, Hsien-Ming Wu, Hsing-Chieh Wu, Hsiu-Chuan Wu, Hsueh-Erh Wu, Hua Wu, Hua-Yu Wu, Huan Wu, Huanghui Wu, Huanlin Wu, Huanwen Wu, Huating Wu, Huazhang Wu, Huazhen Wu, Hui Wu, Hui-Chen Wu, Hui-Hui Wu, Hui-Mei Wu, Hui-Xuan Wu, Huijian Wu, Huijuan Wu, Huini Wu, Huisheng Wu, Huiwen Wu, Hung-Tsung Wu, I H Wu, Irene X Y Wu, J W Wu, J Wu, J Y Wu, J-Z Wu, Jamie L Y Wu, Jason H Y Wu, Jason Wu, Jemma X Wu, Jer-Yuan Wu, Jer-Yuarn Wu, Jerry Wu, Ji-Zhou Wu, Jia Wu, Jia-En Wu, Jia-Hui Wu, Jia-Jun Wu, Jia-Qi Wu, Jia-Wei Wu, Jiahang Wu, Jiahao Wu, Jiahui Wu, Jiajin Wu, Jiajing Wu, Jiake Wu, Jiamei Wu, Jian Hui Wu, Jian Wu, Jian-Lin Wu, Jian-Qiu Wu, Jian-Yi Wu, Jiang Wu, Jiang-Bo Wu, Jiang-Nan Wu, Jiangdong Wu, Jianguang Wu, Jiangyue Wu, Jianhui Wu, Jianing Wu, Jianjin Wu, Jianjun Wu, Jianli Wu, Jianliang Wu, Jianmin Wu, Jianming Wu, Jianping Wu, Jianqiang Wu, Jianrong Wu, Jianwu Wu, Jianxin Wu, Jianxiong Wu, Jianyi Wu, Jianying Wu, Jianzhang Wu, Jianzhi Wu, Jianzhong Wu, Jiao Wu, Jiapei Wu, Jiaqi Wu, Jiarui Wu, Jiawei Wu, Jiaxi Wu, Jiaxuan Wu, Jiayi Wu, Jiayuan Wu, Jie Wu, JieQian Wu, Jiexi Wu, Jihui Wu, Jin Wu, Jin'en Wu, Jin-Shang Wu, Jin-Zhen Wu, Jin-hua Wu, Jincheng Wu, Jinfeng Wu, Jing Wu, Jing-Fang Wu, Jing-Wen Wu, Jinghong Wu, Jingjing Wu, Jingtao Wu, Jingwan Wu, Jingyi Wu, Jingyue Wu, Jingyun Wu, Jinhua Wu, Jinhui Wu, Jinjie Wu, Jinjun Wu, Jinmei Wu, Jinqiao Wu, Jinyu Wu, Jinze Wu, Jiong Wu, Jiu-Lin Wu, Joseph C Wu, Joshua L Wu, Ju Wu, Juan Wu, Juanjuan Wu, Juanli Wu, Jugang Wu, Julian Wu, Jun Wu, Jundong Wu, Junduo Wu, June K Wu, June-Hsieh Wu, Junfang Wu, Junfei Wu, Junfeng Wu, Junhua Wu, Junjie Wu, Junjing Wu, Junlong Wu, Junqi Wu, Junqing Wu, Junshu Wu, Junyi Wu, Junyong Wu, Junzheng Wu, Junzhu Wu, Justin C Y Wu, Justin Che-Yuen Wu, K D Wu, K S Wu, Kai-Hong Wu, Kai-Yue Wu, Kailang Wu, Kaili Wu, Kan Wu, Kay L H Wu, Ke Wu, Kebang Wu, Keija Wu, Kejia Wu, Kerui Wu, Kevin Zl Wu, Kuan-Li Wu, Kuen-Phon Wu, Kui Wu, Kuixian Wu, Kun Wu, Kun-Rong Wu, Kunfang Wu, Kunling Wu, Kunsheng Wu, L Wu, L-F Wu, Lai Man Natalie Wu, Lan Wu, Lanlan Wu, Lanxiang Wu, Lecheng Wu, Lei Wu, Leilei Wu, Lesley Wu, Leslie Wu, Li Wu, Li-Hsien Wu, Li-Jun Wu, Li-Ling Wu, Li-Na Wu, Li-Peng Wu, Liang Wu, Liang-Huan Wu, Liangyan Wu, Lianqian Wu, Lichao Wu, Lidi Wu, Lifang Wu, Lifeng Wu, Lihong Wu, Lijie Wu, Lijuan Wu, Lijun Wu, Lili Wu, Limei Wu, Limeng Wu, Lin Wu, Lin-Han Wu, Ling Wu, Ling-Fei Wu, Ling-Ying Wu, Ling-qian Wu, Lingling Wu, Lingqian Wu, Lingxi Wu, Lingxiang Wu, Lingyan Wu, Lingyun Wu, Lingzhi Wu, Linhong Wu, Linmei Wu, Lintao Wu, Linxiang Wu, Linyu Wu, Linzhen Wu, Linzhi Wu, Lipeng Wu, Liping Wu, Liqiang Wu, Liqun Wu, Liren Wu, Lisha Wu, Liting Wu, Litong Wu, Liufeng Wu, Liuting Wu, Liuxin Wu, Liuying Wu, Lixing Wu, Liyan Wu, Liyang Wu, Lizhen Wu, Lizi Wu, Long-Jun Wu, Longting Wu, Lorna Wu, Lulu Wu, Lun Wu, Lun-Gang Wu, Luyan Wu, M Wu, Ma Wu, Man Wu, Man-Jing Wu, Maoqing Wu, Mark N Wu, Matthew A Wu, Maureen Wu, Mei Wu, Mei-Hwan Wu, Mei-Na Wu, Meili Wu, Meina Wu, Meini Wu, Meiqi Wu, Meiqin Wu, Meng Wu, Meng-Chao Wu, Meng-Han Wu, Meng-Hsun Wu, Meng-Ling Wu, Meng-Na Wu, Mengbo Wu, Mengchao Wu, Mengjuan Wu, Mengjun Wu, Mengna Wu, Mengqiu Wu, Mengxue Wu, Mengying Wu, Mengyuan Wu, Mian Wu, Michael C Wu, Min Wu, Min-Jiao Wu, Ming J Wu, Ming Wu, Ming-Der Wu, Ming-Jiuan Wu, Ming-Shiang Wu, Ming-Sian Wu, Ming-Tao Wu, Ming-Yue Wu, Mingfu Wu, Minghua Wu, Mingjie Wu, Mingjun Wu, Mingming Wu, Mingxing Wu, Mingxuan Wu, Minna Wu, Minqing Wu, Minyao Wu, Moxin Wu, Muzhou Wu, N Wu, Na Wu, Na-Qiong Wu, Nan Wu, Nana Wu, Naqiong Wu, Ning Wu, Nini Wu, Niting Wu, P L Wu, Panyun Wu, Paul W Wu, Pei Wu, Pei-Ei Wu, Pei-Ting Wu, Pei-Wen Wu, Pei-Yu Wu, Peih-Shan Wu, Peiyao Wu, Peiyi Wu, Peng Wu, Peng-Fei Wu, Pengfei Wu, Pengjie Wu, Pengning Wu, Pensee Wu, Pin Wu, Ping Wu, Ping-Hsun Wu, Pinglian Wu, Pingxian Wu, Po-Chang Wu, Qi Wu, Qi-Biao Wu, Qi-Fang Wu, Qi-Jun Wu, Qi-Nian Wu, Qi-Yong Wu, Qi-Zhu Wu, Qian Wu, Qian-Yan Wu, Qiang Wu, Qianhu Wu, Qianqian Wu, Qianwen Wu, Qiao Wu, Qiaowei Wu, Qibiao Wu, Qibing Wu, Qihan Wu, Qijing Wu, Qin Wu, Qinan Wu, Qinfeng Wu, Qing Wu, Qing-Qian Wu, Qing-Wu Wu, Qinghua Wu, Qinglan Wu, Qinglin Wu, Qingping Wu, Qingshi Wu, Qinyi Wu, Qiong Wu, Qiqing Wu, Qitian Wu, Qiu Wu, Qiu-Li Wu, Qiuchen Wu, Qiuhong Wu, Qiuji Wu, Qiulian Wu, Qiuliang Wu, Qiuxia Wu, Qiuya Wu, Quanhui Wu, Qunzheng Wu, R M Wu, R Ryanne Wu, R Wu, R-J Wu, Ran Wu, Ray-Chin Wu, Re-Wen Wu, Ren Wu, Ren-Chin Wu, Renhai Wu, Renlv Wu, Renrong Wu, Riping Wu, Rong Wu, Ronghua Wu, Rongjie Wu, Rongling Wu, Rongrong Wu, Ru-Zi Wu, Rui Wu, Ruihong Wu, Ruize Wu, Run Wu, Runda Wu, Runpei Wu, Ruohao Wu, Ruolan Wu, Ruonan Wu, Ruying Wu, S F Wu, S J Wu, S L Wu, S M Wu, S Wu, S-F Wu, Sai Wu, Samuel M Wu, San-pin Wu, Sarah Wu, Sean M Wu, Selena Meiyun Wu, Selwin K Wu, Semon Wu, Sen-Chao Wu, Senquan Wu, Sensen Wu, Shao-Guo Wu, Shao-Ming Wu, Shaofei Wu, Shaohuan Wu, Shaojun Wu, Shaoping Wu, Shaoxuan Wu, Shaoyu Wu, Shaoze Wu, Sheng-Li Wu, Shengde Wu, Shengming Wu, Shengnan Wu, Shengru Wu, Shengxi Wu, Shenhao Wu, Shenyue Wu, Shi-Xin Wu, Shibo Wu, Shih-Ying Wu, Shihao Wu, Shin-Long Wu, Shinan Wu, Shiqi Wu, Shiwen Wu, Shixin Wu, Shiya Wu, Shiyang Wu, Shu Wu, Shuai Wu, Shuang Wu, Shufang Wu, Shugeng Wu, Shuihua Wu, Shuisheng Wu, Shujuan Wu, Shunan Wu, Shuo Wu, Shusheng Wu, Shuting Wu, Shuyan Wu, Shuyi Wu, Shuying Wu, Shwu-Yuan Wu, Shyh-Jong Wu, Si-Jia Wu, Sichen Wu, Sihan Wu, Sihui Wu, Sijie Wu, Sijun Wu, Siming Wu, Siqi Wu, Siyi Wu, Siying Wu, Siyu Wu, Song Wu, Songfen Wu, Su Wu, Su-Hui Wu, Suhua Wu, Sunyi Wu, Szu-Hsien Wu, T Wu, Tangchun Wu, Tao Wu, Teng Wu, Terence Wu, Thomas D Wu, Tian Wu, Tiange Wu, Tianhao Wu, Tianqi Wu, Tiantian Wu, Tianwen Wu, Tianzhi Wu, Ting-Feng Wu, Ting-Ting Wu, Tingchun Wu, Tingqin Wu, Tingting Wu, Tong Wu, Tracy Wu, Tsai-Kun Wu, Tsung-Jui Wu, Tsung-Teh Wu, Tung-Ho Wu, Tzu-Chun Wu, V C Wu, W J Wu, W Wu, Wan-Fu Wu, Wanxia Wu, Wei Wu, Wei-Chi Wu, Wei-Ping Wu, Wei-Xun Wu, Wei-Yin Wu, Weibin Wu, Weida Wu, Weidong Wu, Weihua Wu, Weijie Wu, Weijun Wu, Weiwei Wu, Weizhen Wu, Wen Wu, Wen-Chieh Wu, Wen-Hui Wu, Wen-Jeng Wu, Wen-Juan Wu, Wen-Ling Wu, Wen-Qiang Wu, Wen-Sheng Wu, Wen-Shu Wu, Wenda Wu, Wendy Wu, Wenhui Wu, Wenjie Wu, Wenjing Wu, Wenjuan Wu, Wenjun Wu, Wenlin Wu, Wenqi Wu, Wenqian Wu, Wenqiang Wu, Wenwen Wu, Wenxian Wu, Wenxue Wu, Wenyi Wu, Wenyong Wu, Wenyu Wu, Wenze Wu, William K K Wu, William Ka Kei Wu, Wu-Tian Wu, Wudelehu Wu, Wujun Wu, Wutain Wu, Wutian Wu, Xi Wu, Xi-Chen Wu, Xi-Ze Wu, Xia Wu, Xiahui Wu, Xian-Run Wu, Xianan Wu, Xianfeng Wu, Xiangping Wu, Xiangsheng Wu, Xiangwei Wu, Xiangxin Wu, Xianpei Wu, Xiao Wu, Xiao-Cheng Wu, Xiao-Hui Wu, Xiao-Jin Wu, Xiao-Jun Wu, Xiao-Yan Wu, Xiao-Yang Wu, Xiao-Ye Wu, Xiao-Yuan Wu, Xiaobin Wu, Xiaobing Wu, Xiaodi Wu, Xiaodong Wu, Xiaofan Wu, Xiaofeng Wu, Xiaofu Wu, Xiaohong Wu, Xiaohui Wu, Xiaojiang Wu, Xiaojie Wu, Xiaojin Wu, Xiaojing Wu, Xiaojun Wu, Xiaokang Wu, Xiaoke Wu, Xiaolang Wu, Xiaoli Wu, Xiaoliang Wu, Xiaolin Wu, Xiaoling Wu, Xiaolong Wu, Xiaoman Wu, Xiaomei Wu, Xiaomeng Wu, Xiaomin Wu, Xiaoming Wu, Xiaoping Wu, Xiaoqian Wu, Xiaoqing Wu, Xiaoqiong Wu, Xiaorong Wu, Xiaoting Wu, Xiaotong Wu, Xiaoxing Wu, Xiaoyang Wu, Xiaoying Wu, Xiaoyong Wu, Xiaoyun Wu, Xiayin Wu, Xiexing Wu, Xifeng Wu, Xihai Wu, Xilin Wu, Xilong Wu, Ximei Wu, Xin Wu, Xin-Xi Wu, Xinchun Wu, Xing Wu, Xing-De Wu, Xing-Ping Wu, Xingdong Wu, Xinghua Wu, Xingjie Wu, Xinglong Wu, Xingwei Wu, Xinhe Wu, Xinjing Wu, Xinlei Wu, Xinmiao Wu, Xinran Wu, Xinrui Wu, Xinyan Wu, Xinyang Wu, Xinyi Wu, Xinyin Wu, Xiping Wu, Xiru Wu, Xiu-Zhi Wu, Xiuhua Wu, Xiushan Wu, Xiwei Wu, Xu Wu, Xuan Wu, Xuanqin Wu, Xuanshuang Wu, Xudong Wu, Xue Wu, Xue-Mei Wu, Xue-Yan Wu, Xuefen Wu, Xuefeng Wu, Xueji Wu, Xuekun Wu, Xueling Wu, Xuemei Wu, Xueqian Wu, Xueqing Wu, Xueyan Wu, Xueyao Wu, Xueying Wu, Xueyuan Wu, Xuhan Wu, Xunwei Wu, Xuxian Wu, Y H Wu, Y Q Wu, Y Wu, Y Y Wu, Y-W Wu, Ya Wu, Yadi Wu, Yafei Wu, Yajie Wu, Yalan Wu, Yali Wu, Yan Wu, Yan Yan Wu, Yan-Hua Wu, Yan-Jun Wu, Yan-ling Wu, Yanan Wu, Yanchuan Wu, Yanchun Wu, Yandi Wu, Yang Wu, Yangfeng Wu, Yangna Wu, Yangyu Wu, Yanhong Wu, Yanhua Wu, Yanhui Wu, Yanjing Wu, Yanli Wu, Yanqiong Wu, Yanran Wu, Yansheng Wu, Yanting Wu, Yanxiang Wu, Yanyan Wu, Yanzhi Wu, Yao Wu, Yaohong Wu, Yaohua Wu, Yaojiong Wu, Yaoxing Wu, Yaping Wu, Yaqin Wu, Yaru Wu, Yawei Wu, Yawen Wu, Ye Wu, Yen-Wen Wu, Yetong Wu, Yexiang Wu, Yi Wu, Yi-Cheng Wu, Yi-Fang Wu, Yi-Hua Wu, Yi-Long Wu, Yi-Mi Wu, Yi-Ming Wu, Yi-No Wu, Yi-Syuan Wu, Yi-Xia Wu, Yi-Ying Wu, Yibo Wu, Yichen Wu, Yicheng Wu, Yifan Wu, Yifeng Wu, Yih-Jer Wu, Yih-Ru Wu, Yihan Wu, Yihang Wu, Yihe Wu, Yihua Wu, Yihui Wu, Yijian Wu, Yili Wu, Yillin Wu, Yilong Wu, Yin Wu, Yinan Wu, Ying Wu, Ying-Ting Wu, Ying-Ying Wu, Yingbiao Wu, Yinghao Wu, Yingning Wu, Yingxia Wu, Yingying Wu, Yingzhi Wu, Yipeng Wu, Yiping Wu, Yiqun Wu, Yiran Wu, Yiting Wu, Yiwen Wu, Yixia Wu, Yixuan Wu, Yiyang Wu, Yiyi Wu, Yizhou Wu, Yong Wu, Yong-Hao Wu, Yong-Hong Wu, Yongfa Wu, Yongfei Wu, Yonghui Wu, Yongjiang Wu, Yongmei Wu, Yongqi Wu, Yongqun Wu, You Wu, Yu Wu, Yu'e Wu, Yu-Chih Wu, Yu-E Wu, Yu-Hsuan Wu, Yu-Ke Wu, Yu-Ling Wu, Yu-Ting Wu, Yu-Yuan Wu, Yuan Kai Wu, Yuan Wu, Yuan-de Wu, Yuanbing Wu, Yuanhao Wu, Yuanming Wu, Yuanshun Wu, Yuanyuan Wu, Yuanzhao Wu, Yucan Wu, Yuchen Wu, Yudan Wu, Yue Wu, Yueheng Wu, Yueling Wu, Yueming Wu, Yuen-Jung Wu, Yuesheng Wu, Yuetong Wu, Yuexiu Wu, Yuguang Philip Wu, Yuh-Lin Wu, Yuhong Wu, Yujie Wu, Yujuan Wu, Yukang Wu, Yulian Wu, Yuliang Wu, Yulin Wu, Yumei Wu, Yumin Wu, Yuming Wu, Yun Wu, Yun-Wen Wu, Yuna Wu, Yung-Fu Wu, Yunhua Wu, Yunpeng Wu, Yupeng Wu, Yuqin Wu, Yurong Wu, Yushun Wu, Yuting Wu, Yutong Wu, Yuwei Wu, Yuxian Wu, Yuxiang Wu, Yuxin Wu, Yuyi Wu, Yuyu Wu, Z Wu, Zaihao Wu, Ze Wu, Zelai Wu, Zeng-An Wu, Zhangjie Wu, Zhao-Bo Wu, Zhao-Yang Wu, Zhaofei Wu, Zhaoxia Wu, Zhaoyang Wu, Zhaoyi Wu, Zhaoyuan Wu, Zhe Wu, Zheming Wu, Zhen Wu, Zhen-Qi Wu, Zhen-Yang Wu, Zhenfang Wu, Zhenfeng Wu, Zheng Wu, Zhengcan Wu, Zhengfeng Wu, Zhengliang L Wu, Zhengsheng Wu, Zhenguo Wu, Zhengyu Wu, Zhengzhi Wu, Zhenling Wu, Zhenlong Wu, Zhentian Wu, Zhenyan Wu, Zhenyong Wu, Zhenzhen Wu, Zhenzhou Wu, Zhi-Hong Wu, Zhi-Wei Wu, Zhi-Yong Wu, Zhibing Wu, Zhichong Wu, Zhidan Wu, Zhihao Wu, Zhikang Wu, Zhimin Wu, Zhipeng Wu, Zhiping Wu, Zhiqiang Wu, Zhixiang Wu, Zhiye Wu, Zhong Wu, Zhong-Jun Wu, Zhong-Yan Wu, Zhongchan Wu, Zhonghui Wu, Zhongjun Wu, Zhongluan Wu, Zhongqiu Wu, Zhongren Wu, Zhongwei Wu, Zhongyang Wu, Zhou Wu, Zhou-Ming Wu, Zhourui Wu, Zhuanbin Wu, Zhuokai Wu, Zhuoze Wu, Zhuzhu Wu, Zijun Wu, Ziliang Wu, Zilong Wu, Zimu Wu, Zixiang Wu, Zixuan Wu, Zoe Wu, Zong-Jia Wu, Zongfu Wu, Zongheng Wu, Zujun Wu, Zuping Wu
articles
Weiwei Liu, Guorong Jin, Chongde Long +7 more · 2013 · TheScientificWorldJournal · added 2026-04-24
The Notch signaling is an evolutionarily conserved cell-cell communication pathway that plays critical roles in the proliferation, survival, apoptosis, and fate determination of mammalian cells. Retin Show more
The Notch signaling is an evolutionarily conserved cell-cell communication pathway that plays critical roles in the proliferation, survival, apoptosis, and fate determination of mammalian cells. Retinal pigment epithelial (RPE) cells are responsible for supporting the function of the neural retina and maintaining vision. This study investigated the function of Notch signaling in RPE cells. We found that the members of the Notch signaling pathway components were differentially expressed in RPE cells. Furthermore, blockage of Notch signaling inhibited the migration and proliferation of RPE cells and reduced the expression levels of certain Notch signaling target genes, including HES1, MYC, HEY2, and SOX9. Our data reveal a critical role of Notch signaling in RPE cells, suggesting that targeting Notch signaling may provide a novel approach for the treatment of ophthalmic diseases related to RPE cells. Show less
📄 PDF DOI: 10.1155/2013/178708
HEY2
San-pin Wu, Chiang-Min Cheng, Rainer B Lanz +8 more · 2013 · Developmental cell · Elsevier · added 2026-04-24
Atria and ventricles exhibit distinct molecular profiles that produce structural and functional differences between the two cardiac compartments. However, the factors that determine these differences Show more
Atria and ventricles exhibit distinct molecular profiles that produce structural and functional differences between the two cardiac compartments. However, the factors that determine these differences remain largely undefined. Cardiomyocyte-specific COUP-TFII ablation produces ventricularized atria that exhibit ventricle-like action potentials, increased cardiomyocyte size, and development of extensive T tubules. Changes in atrial characteristics are accompanied by alterations of 2,584 genes, of which 81% were differentially expressed between atria and ventricles, suggesting that a major function of myocardial COUP-TFII is to determine atrial identity. Chromatin immunoprecipitation assays using E13.5 atria identified classic atrial-ventricular identity genes Tbx5, Hey2, Irx4, MLC2v, MLC2a, and MLC1a, among many other cardiac genes, as potential COUP-TFII direct targets. Collectively, our results reveal that COUP-TFII confers atrial identity through direct binding and by modulating expression of a broad spectrum of genes that have an impact on atrial development and function. Show less
📄 PDF DOI: 10.1016/j.devcel.2013.04.017
HEY2
Xiao-Yan Yang, Wen-Juan Wu, Cheng Yang +4 more · 2013 · Dermatology (Basel, Switzerland) · added 2026-04-24
Acne vulgaris is a very common skin disorder. Previous studies have indicated that genetic background factors play key roles in the onset of acne. Our previous investigation implicated several genes i Show more
Acne vulgaris is a very common skin disorder. Previous studies have indicated that genetic background factors play key roles in the onset of acne. Our previous investigation implicated several genes in the androgen metabolism pathway with acne vulgaris in the Han Chinese population. Thus, we further investigated genes and genetic variants that play important roles in this pathway for their relationship with the pathology of acne. In this study, a total of 610 subjects, including 403 acne patients and 207 healthy controls, were genotyped for 15 single-nucleotide polymorphisms in HSD3B1 and HSD17B3 genes. This study shows that rs6428829 in HSD3B1 was associated with acne vulgaris in Han patients from Southwest China, even after adjusting for age and sex. The GG genotype was associated with an increased risk of acne vulgaris (p < 0.05) and G allele carriers were associated with an increased risk of acne vulgaris (p < 0.05). In addition, the haplotype AAT in HSD3B1 significantly increased the risk of acne vulgaris in the case-control study (p < 0.05). Furthermore, for another gene in this pathway, HSD17B3, the haplotype H8 was significantly associated with an increased risk of acne vulgaris. Based on these analyses, our study indicates that the cutaneous androgen metabolism-regulated genes HSD3B1 and HSD17B3 increase the susceptibility to acne vulgaris in Han Chinese from Southwest China. Show less
no PDF DOI: 10.1159/000353581
HSD17B12
Shao-wen Yu, Chiung-Mei Chen, Yi-Chun Chen +5 more · 2013 · PloS one · PLOS · added 2026-04-24
Essential tremor (ET), which is one of the most common movement disorders, may lead to severe interference in quality of life. The first genome-wide association study (GWAS) has identified an associat Show more
Essential tremor (ET), which is one of the most common movement disorders, may lead to severe interference in quality of life. The first genome-wide association study (GWAS) has identified an association of the LINGO1 variant (rs9652490) with ET in Americans and Europeans. Recently, a second GWAS that was performed in a European population has discovered a new variant (rs3794087) of the main glial glutamate transporter (SLC1A2) that increases the risk of ET with an odds ratio of about 1.4. SLC1A2 encodes for the major glial high-affinity glutamate reuptake transporter in the brain and is a potential ET susceptibility gene. Because replication in a different ethnic population is important for validating a finding, we conducted a case-control study to investigate the SLC1A2 variant in an Asian cohort with ET in Taiwan. A total of 542 subjects (273 ET patients and 269 controls) were included. The results showed that rs3794087 was associated with ET among the Taiwanese. The odds ratio was 1.37. Our results were similar to those of the second GWAS of ET in Europeans, and this confirms that SLC1A2 may be a good functional candidate gene for ET. A replication study in another independent population is of importance to validate this association. Show less
📄 PDF DOI: 10.1371/journal.pone.0071919
LINGO1
Jingsheng Cen, Hongfu Wu, Jue Wang +5 more · 2013 · Spine · added 2026-04-24
We used a complete spinal cord transection model and locomotor function, histological, and immunohistochemical examinations to evaluate the effects of local injection of lentivirus/LINGO-1-short hairp Show more
We used a complete spinal cord transection model and locomotor function, histological, and immunohistochemical examinations to evaluate the effects of local injection of lentivirus/LINGO-1-short hairpin RNA (VL) on rats with spinal cord injury (SCI). To demonstrate the neuroregenerative and neuroprotective effects of LINGO-1 RNAi on complete transection SCI rats. LINGO-1 has been reported as a negative regulator of axonal sprouting and its antagonist was determined to improve functional outcomes in SCI rats. However, it has not been assessed whether blockade of LINGO-1 mediated by lentivirus vectors could stimulate neural recovery after SCI. Complete spinal cord transection was made at T10 level. Suspension of lentivirus vectors encoding LINGO-1-short hairpin RNA was injected into the lesion gap. Controls received control vectors in the same manner and the sham group was subjected to laminectomy only. The Basso-Beattie-Bresnahan scale and surface righting reflex test were used to evaluate functional outcomes. Finally, the spinal cords were harvested for histological and immunohistochemical analysis. The treatment with VL improved Basso-Beattie-Bresnahan scores and surface righting reflex after SCI. Tissue repair was facilitated and the cavity area was significantly decreased in VL-treated animals. More sprouting and myelinated nerve fibers were detected within the injured site in the VL group as compared with the control. In addition, the number of survival neurons and oligodendrocytes around the epicenter was notably higher under the VL condition. Local injection of lentivirus/LINGO-1-short hairpin RNA after complete transection of spinal cord resulted in meaningful histological and functional outcomes in rats. The mechanism of VL protection may be related to its promotion of axonal sprouting, remyelination, and cell survival. Show less
no PDF DOI: 10.1097/BRS.0b013e31829dd58f
LINGO1
Hong-Fu Wu, Jing-Sheng Cen, Qian Zhong +4 more · 2013 · Biomaterials · Elsevier · added 2026-04-24
Lingo-1 is selectively expressed on both oligodendrocytes and neurons in the central nervous system (CNS) and serves as a key negative regulator of nerve regeneration, implying a therapeutic target fo Show more
Lingo-1 is selectively expressed on both oligodendrocytes and neurons in the central nervous system (CNS) and serves as a key negative regulator of nerve regeneration, implying a therapeutic target for spinal cord injury (SCI). Here we described a strategy to knock-down Lingo-1 expression in vivo using lentiviral vectors encoding Lingo-1 short harpin interfering RNA (shRNA) delivered by Pluronic F-127 (PF-127) gel, a non-cytotoxic scaffold and gene delivery carrier, after the complete transection of the T10 spinal cord in adult rats. We showed administration of PF-127 encapsulating Lingo-1 shRNA lentiviral vectors efficiently down-regulated the expression of Lingo-1, and exhibited transduction efficiency comparable to using vectors alone in oligodendrocyte culture in vitro. Furthermore, similar silencing effects and higher transfection efficiency were observed in vivo when Lingo-1 shRNA was co-delivered to the injured site by PF-127 gel with lower viral concentrations. Cografting of gel and Lingo-1 RNAi significantly promoted functional recovery and nerve regeneration, enhanced neurite outgrowth and synapses formation, preserved myelinated axons, and induced the proliferation of glial cells. In addition, the combined implantation also improved neuronal survival and inhibited cell apoptosis, which may be associated with the attenuation of endoplasmic reticulum (ER) stress after SCI. Together, our data indicated that delivering Lingo-1 shRNA by gel scaffold was a valuable treatment approach to SCI and PF-127 delivery of viral vectors to the spinal cord may provide strategy to study and develop therapies for SCI. Show less
no PDF DOI: 10.1016/j.biomaterials.2012.11.013
LINGO1
A Albrechtsen, N Grarup, Y Li +105 more · 2013 · Diabetologia · Springer · added 2026-04-24
Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) Show more
Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes. The study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p < 0.05) with case-control status, from four selected annotation categories or from loci reported to associate with metabolic traits. These variants were genotyped in 15,989 Danes to search for association with 12 metabolic phenotypes (stage 2). In stage 3, polymorphisms showing potential associations were genotyped in a further 63,896 Europeans. Exome sequencing identified 70,182 polymorphisms with MAF >1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 × 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 × 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 × 10(-10)). We applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits. Show less
📄 PDF DOI: 10.1007/s00125-012-2756-1
MACF1
He Sun, Tao Jiang, Shubao Wang +6 more · 2013 · Diabetes research and clinical practice · Elsevier · added 2026-04-24
We aimed to investigate the effects of LXRα, ChREBP and Elovl6 in the development of insulin resistance-induced by medium- and long-chain fatty acids. Sprague Dawley rats were fed a standard chow diet Show more
We aimed to investigate the effects of LXRα, ChREBP and Elovl6 in the development of insulin resistance-induced by medium- and long-chain fatty acids. Sprague Dawley rats were fed a standard chow diet (Control group) or a high-fat, high sucrose diet with different fat sources (coconut oil, lard, sunflower and fish oil) for 8 weeks. These oils were rich in medium-chain saturated fatty acids (MCFA group), long-chain saturated fatty acids (LCFA group), n-6 and n-3 long-chain polyunsaturated fatty acids (n-6 PUFA and n-3 PUFA groups), respectively, which had different chain lengths and degrees of unsaturation. Hyperinsulinemic-euglycemic clamp with [6-(3)H] glucose infusion was performed in conscious rats to assess hepatic insulin sensitivity. LCFA and n-6 PUFA groups induced hepatic insulin resistance and increased liver X receptor α (LXRα), carbohydrate response element binding protein (ChREBP) and long-chain fatty acid elongase 6 (Elovl6) expression in liver and white adipose tissue (WAT). Furthermore, LCFA and n-6 PUFA groups suppressed Akt serine 473 phosphorylation in liver and WAT. By contrast, in liver and WAT, MCFA and n-3 PUFA groups decreased LXRα, ChREBP and Elovl6 expression and improved insulin signaling and insulin resistance, but Akt serine 473 phosphorylation was not restored by MCFA group in WAT. This study demonstrated that the mechanism of the different effects of medium- and long-chain fatty acids on hepatic insulin resistance involves LXRα, ChREBP and Elovl6 alternations in liver and WAT. It points to a new strategy for ameliorating insulin resistance and diabetes through intervention on Elovl6 or its control genes. Show less
no PDF DOI: 10.1016/j.diabres.2013.10.010
MLXIPL
Xiao-Na Zeng, Rui-Xing Yin, Ping Huang +7 more · 2013 · Lipids in health and disease · BioMed Central · added 2026-04-24
The rs17145738 single nucleotide polymorphism (SNP) near MLX interacting protein-like/transducin (beta)-like 2 (MLXIPL/TBL2) loci is associated with serum lipid levels, but the results are inconsisten Show more
The rs17145738 single nucleotide polymorphism (SNP) near MLX interacting protein-like/transducin (beta)-like 2 (MLXIPL/TBL2) loci is associated with serum lipid levels, but the results are inconsistent in diverse ethnic/racial groups. The current study was to investigate the association of MLXIPL/TBL2 rs17145738 SNP and several environmental factors with serum lipid profiles in the Guangxi Mulao and Han populations. A total of 649 subjects of Mulao nationality and 712 participants of Han nationality aged 16-84 years were randomly selected from our previous stratified randomized samples. Genotyping was performed by polymerase chain reaction and restriction fragment length polymorphism combined with gel electrophoresis, and then confirmed by direct sequencing. Serum apolipoprotein (Apo) B levels were higher in Mulao than in Han (P < 0.001). There were no significant differences in the genotypic and allelic frequencies of the MLXIPL/TBL2 rs17145738 SNP between the two ethnic groups or between males and females. The T allele carriers had higher triglyceride (TG) and ApoB levels in Mulao, and higher total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels in Han than the T allele non-carriers (P < 0.05 for all). Subgroup analyses showed that the T allele carriers had higher ApoB levels in both Mulao and Han females than the T allele non-carriers, but the T allele carriers had lower ApoB levels in Han males than the T allele non-carriers (P < 0.05, respectively). The T allele carriers in Han had higher TC, high-density lipoprotein cholesterol (HDL-C) levels and ApoA1/ApoB ratio and lower TG levels in males, and higher LDL-C levels and lower ApoA1/ApoB ratio in females than the T allele non-carriers (P < 0.05 for all). Serum TC levels in the combined population of the two ethnic groups and in Han, and HDL-C levels in Han males were correlated with genotypes (P < 0.05 for all). Serum lipid parameters were also correlated with several environmental factors (P < 0.05-0.01). The association of MLXIPL/TBL2 rs17145738 SNP and serum lipid profiles is different between the Mulao and Han populations. There is a sex-specific association in the both ethnic groups. Show less
📄 PDF DOI: 10.1186/1476-511X-12-156
MLXIPL
Lifang Wu, Hanbei Chen, Yemin Zhu +7 more · 2013 · The international journal of biochemistry & cell biology · Elsevier · added 2026-04-24
The glucose-responsive transcription factor carbohydrate responsive element binding protein (ChREBP) plays an important role in regulating glucose metabolism in support of anabolic synthesis in both h Show more
The glucose-responsive transcription factor carbohydrate responsive element binding protein (ChREBP) plays an important role in regulating glucose metabolism in support of anabolic synthesis in both hepatocytes and cancer cells. In order to further investigate the molecular mechanism by which ChREBP regulates transcription, we used a proteomic approach to identify proteins interacting with ChREBP. We found several potential ChREBP-interacting partners, one of which, flightless I homolog (FLII) was verified to interact and co-localize with ChREBP in HCT116 colorectal cancer and HepG2 hepatocellular carcinoma cells. FLII is a member of the gelsolin superfamily of actin-remodeling proteins and can function as a transcriptional co-regulator. The C-terminal 227 amino acid region of ChREBP containing the DNA-binding domain interacted with FLII. Both the N-terminal leucine-rich repeat (LRR) domain and C-terminal gelsolin homolog domain (GLD) of FLII interacted and co-localized with ChREBP. ChREBP and FLII localized in both the cytoplasm and nucleus of cancer cells. Glucose increased expression and nuclear localization of ChREBP, and had minimal effect on the level and distribution of FLII. FLII knockdown using siRNAs increased mRNA and protein levels of ChREBP-activated genes and decreased transcription of ChREBP-repressed genes in cancer cells. Conversely, FLII overexpression negatively regulated ChREBP-mediated transcription in cancer cells. Our findings suggest that FLII is a component of the ChREBP transcriptional complex and negatively regulates ChREBP function in cancer cells. Show less
no PDF DOI: 10.1016/j.biocel.2013.09.004
MLXIPL
Katsumi Iizuka, Wudelehu Wu, Yukio Horikawa +2 more · 2013 · Endocrine journal · added 2026-04-24
Carbohydrate response element binding protein (ChREBP) and peroxisome proliferator-activated receptor alpha (PPARα) play an important role in the regulation of lipid metabolism in the liver. Chrebp an Show more
Carbohydrate response element binding protein (ChREBP) and peroxisome proliferator-activated receptor alpha (PPARα) play an important role in the regulation of lipid metabolism in the liver. Chrebp and Ppara mRNA levels are equally abundant in brown adipose tissue and liver. However, their functions in brown adipose tissues are unclear. In this study, we attempted to clarify the role of ChREBP and PPARα using brown adipose HB2 cell lines and tissues from wild type and Chrebp-/- C57BL/6J mice. In liver and brown adipose tissues, Chrebpb mRNA levels in the fasting state were much lower than those fed ad libitum, while Ppara mRNA levels in the fasting state were much higher than in the fed state. In differentiated brown adipose HB2 cell lines, glucose increased mRNA levels of ChREBP target genes such as Chrebpb, Fasn, and Glut4 in a dose dependent manner, while glucose decreased both Chrebpa and Ppara mRNA levels. Accordingly, adenoviral overexpression of ChREBP and a reporter assay demonstrated that ChREBP partially suppressed Ppara and Acox mRNA expression. Moreover, in brown adipose tissues from Chrebp-/- mice, Chrebpb and Fasn mRNA levels in the ad libitum fed state were much lower than those in the fasting state, while Ppara and Acox mRNA levels were not. Finally, using Wy14,643, a selective PPARα agonist, and overexpression of PPARα partially suppressed glucose induction of Chrebpb and Fasn mRNA in HB2 cells. In conclusion, the feedback loop between ChREBP and PPARα plays an important role in the regulation of lipogenesis in brown adipocytes. Show less
no PDF DOI: 10.1507/endocrj.ej13-0079
MLXIPL
Dan Zhong, Yan Zhang, Yi-jun Zeng +5 more · 2013 · Lipids in health and disease · BioMed Central · added 2026-04-24
MicroRNAs (miRNAs) emerge as new important regulators of lipid homeostasis by regulating corresponding genes. MiR-613 is a newly discovered microRNA, of which the biological function is unknown. A rec Show more
MicroRNAs (miRNAs) emerge as new important regulators of lipid homeostasis by regulating corresponding genes. MiR-613 is a newly discovered microRNA, of which the biological function is unknown. A recent report has shown that miR-613 downregulates liver X receptor α (LXRα), a ligand-activated nuclear receptor playing an important role in the regulation of lipid metabolism. The purpose of this study is to explore the effect and the molecular basis of miR-613 on lipogenesis in HepG2 cells. HepG2 cells were transiently transfected with miR-613 mimic or control microRNA. Real time PCR, Western blot, Luciferase reporter assay and Oil Red O staining were employed to examine the expression of LXRα and its target genes involved in lipogenesis, binding site for miR-613 in 3'-untranslated region (3'-UTR) of LXRα mRNA and lipid droplet accumulation in the cells. MiR-613 dramatically suppressed the expression of LXRα and its target genes including sterol-regulatory element binding protein 1c (SREBP-1c), fatty acid synthase (FAS), carbohydrate responsive element-binding protein (ChREBP) and acetyl-CoA carboxylase (ACC). Reporter assay showed that miR-613 directly bound to 3'-UTR of LXRα mRNA. Moreover, miR-613 significantly repressed LXRα-induced lipid droplet accumulation in HepG2 cells. Ectopic expression of LXRα without 3'-UTR markedly attenuated the miR-613-mediated downregulation of LXRα's target genes and LXRα-induced lipid droplet accumulation. MiR-613 suppresses lipogenesis by directly targeting LXRα in HepG2 cells, suggesting that miR-613 may serve as a novel target for regulating lipid homeostasis. Show less
📄 PDF DOI: 10.1186/1476-511X-12-32
MLXIPL
Katsumi Iizuka, Wudelehu Wu, Yukio Horikawa +1 more · 2013 · Endocrine journal · added 2026-04-24
Whether glucose-6-phosphate (G6P) or xylulose-5-phosphate (X5P) is the signaling molecule for carbohydrate response element binding protein (ChREBP) transactivation has been controversial. In this stu Show more
Whether glucose-6-phosphate (G6P) or xylulose-5-phosphate (X5P) is the signaling molecule for carbohydrate response element binding protein (ChREBP) transactivation has been controversial. In this study, we tested the role of G6P and X5P in the regulation of ChREBP transactivation in the pancreatic β cell line, INS-1E. In contrast to glucose, which can be converted into both G6P and X5P, 2DG is only converted into 2DG6P. The potency of 2-deoxy-glucose (2DG) to induce Chrebp target mRNA was weaker and less persistent than that of glucose. Moreover, the results from siRNA knockdown of ChREBP, a reporter assay involving the pGL3 promoter with carbohydrate response element (ChoRE), and a ChIP assay with an anti-ChREBP antibody revealed that 2DG does not increase ChREBP transactivity in INS-1E cells. In accordance with these results, transfection of siRNA against Chrebp tended to reduce glucose-stimulated, but not 2DG-stimulated, expression of ChREBP target genes. Conversely, the expression of xylulokinase (Xylb), which converts xylitol to X5P, was much lower than in primary hepatocytes. In INS-1E cells infected by adenovirus bearing Xylb cDNA, xylitol increased expression of ChREBP target genes, although with a weaker potency than glucose. Finally, X5P partly induced ChREBP transactivity in INS-1E cells overexpressing Xylb cDNA. In conclusion, G6P and X5P can activate ChREBP transactivity, but their potencies to induce ChREBP transactivity were much lower than that of glucose, suggesting that other factors such as fructose 2,6-bisphosphate may be needed for full activation of glucose-induced gene expression. Show less
no PDF
MLXIPL
Yubao Zou, Jizheng Wang, Xuan Liu +19 more · 2013 · Molecular biology reports · Springer · added 2026-04-24
Genotype-phenotype correlation of hypertrophic cardiomyopathy (HCM) has been challenging because of the genetic and clinical heterogeneity. To determine the mutation profile of Chinese patients with H Show more
Genotype-phenotype correlation of hypertrophic cardiomyopathy (HCM) has been challenging because of the genetic and clinical heterogeneity. To determine the mutation profile of Chinese patients with HCM and to correlate genotypes with phenotypes, we performed a systematic mutation screening of the eight most commonly mutated genes encoding sarcomere proteins in 200 unrelated Chinese adult patients using direct DNA sequencing. A total of 98 mutations were identified in 102 mutation carriers. The frequency of mutations in MYH7, MYBPC3, TNNT2 and TNNI3 was 26.0, 18.0, 4.0 and 3.5 % respectively. Among the 200 genotyped HCM patients, 83 harbored a single mutation, and 19 (9.5 %) harbored multiple mutations. The number of mutations was positively correlated with the maximum wall thickness. We found that neither particular gene nor specific mutation was correlated to clinical phenotype. In summary, the frequency of multiple mutations was greater in Chinese HCM patients than in the Caucasian population. Multiple mutations in sarcomere protein may be a risk factor for left ventricular wall thickness. Show less
no PDF DOI: 10.1007/s11033-012-2474-2
MYBPC3
Lin Yang, Guo Han, Qiao-Hong Liu +4 more · 2013 · International journal of food sciences and nutrition · added 2026-04-24
The major aim of this study is to elucidate the hypocholesterolemic mechanism exerted by rice protein (RP) in adult rats under cholesterol-enriched dietary condition. Compared with casein, the cholest Show more
The major aim of this study is to elucidate the hypocholesterolemic mechanism exerted by rice protein (RP) in adult rats under cholesterol-enriched dietary condition. Compared with casein, the cholesterol levels in plasma and the liver were significantly reduced by RP, accompanying significant inhibition of cholesterol absorption. RP increased the activity and mRNA level of cholesterol 7α-hydroxylase, whereas acyl-CoA:cholesterol acyltransferase activity and gene expression were significantly depressed with consumption of RP. Neither the activity nor gene expression of 3-hydroxy-3-methylglutaryl coenzyme A reductase of RP differed from that of casein. The gene expression of the peroxisome proliferator-activated receptor α and liver X receptor α were significantly activated by consumption of RP. RP did not modify the mRNA level of sterol regulatory element-binding protein-2 with respect to casein. These results suggest RP can induce a cholesterol-lowering effect through modifying cholesterol metabolism-related gene expression and enzyme activity in adult rats. Show less
no PDF DOI: 10.3109/09637486.2013.804038
NR1H3
Jin-quan Yan, Chun-zhi Tan, Jin-hua Wu +8 more · 2013 · Molecular and cellular biochemistry · Springer · added 2026-04-24
To investigate the effects of neopterin on ABCA1 expression and cholesterol efflux in human THP-1 macrophage-derived foam cells, and to explore the role of the liver X receptor alpha (LXRα) involved. Show more
To investigate the effects of neopterin on ABCA1 expression and cholesterol efflux in human THP-1 macrophage-derived foam cells, and to explore the role of the liver X receptor alpha (LXRα) involved. In the present study, THP-1 cells were pre-incubated with ox-LDL to become foam cells. The protein and mRNA expression were examined by Western blot assays and real-time quantitative PCR, respectively. Liquid scintillation counting and high performance liquid chromatography assays were used to test cellular cholesterol efflux and cholesterol content. Neopterin decreased ABCA1 expression and cholesterol efflux in a time- and concentration-dependent manner in THP-1 macrophage-derived foam cells, and the LXRα siRNA can reverse the inhibitory effects induced by neopterin. Neoterin has a negative regulation on ABCA1 expression via the LXRα signaling pathway, which suggests the aggravated effects of neopterin on atherosclerosis. Show less
no PDF DOI: 10.1007/s11010-013-1634-6
NR1H3
Jing Wu, Chunjiong Wang, Shuo Li +13 more · 2013 · Hepatology (Baltimore, Md.) · Wiley · added 2026-04-24
The protein, thyroid hormone-responsive SPOT 14 homolog (Thrsp), has been reported to be a lipogenic gene in cultured hepatocytes, implicating an important role of Thrsp in the pathogenesis of nonalco Show more
The protein, thyroid hormone-responsive SPOT 14 homolog (Thrsp), has been reported to be a lipogenic gene in cultured hepatocytes, implicating an important role of Thrsp in the pathogenesis of nonalcoholic fatty liver disease (NAFLD). Thrsp expression is known to be regulated by a variety of transcription factors, including thyroid hormone receptor, pregnane X receptor, and constitutive androstane receptor. Emerging in vitro evidence also points to a critical role of liver X receptor (LXR) in regulating Thrsp transcription in hepatocytes. In the present study, we showed that Thrsp was up-regulated in livers of db/db mice and high-fat-diet-fed mice, two models of murine NAFLD. Hepatic overexpression of Thrsp increased triglyceride accumulation with enhanced lipogenesis in livers of C57Bl/6 mice, whereas hepatic Thrsp gene silencing attenuated the fatty liver phenotype in db/db mice. LXR activator TO901317 induced Thrsp expression in livers of wild-type (WT) and LXR-β gene-deficient mice, but not in LXR-α or LXR-α/β double-knockout mice. TO901317 treatment significantly enhanced hepatic sterol regulatory element-binding protein 1c (SREBP-1c) expression and activity in WT mice, but failed to induce Thrsp expression in SREBP-1c gene-deficient mice. Sequence analysis revealed four LXR response-element-like elements and one sterol regulatory element (SRE)-binding site within a -2,468 ∼+1-base-pair region of the Thrsp promoter. TO901317 treatment and LXR-α overexpression failed to induce, whereas overexpression of SREBP-1c significantly increased Thrsp promoter activity. Moreover, deletion of the SRE site completely abolished SREBP-1c-induced Thrsp transcription. Thrsp is a lipogenic gene in the liver that is induced by the LXR agonist through an LXR-α-mediated, SREBP-1c-dependent mechanism. Therefore, Thrsp may represent a potential therapeutic target for the treatment of NAFLD. Show less
no PDF DOI: 10.1002/hep.26272
NR1H3
Nicole M Warrington, Yan Yan Wu, Craig E Pennell +5 more · 2013 · PloS one · PLOS · added 2026-04-24
The timing of associations between common genetic variants and changes in growth patterns over childhood may provide insight into the development of obesity in later life. To address this question, it Show more
The timing of associations between common genetic variants and changes in growth patterns over childhood may provide insight into the development of obesity in later life. To address this question, it is important to define appropriate statistical models to allow for the detection of genetic effects influencing longitudinal childhood growth. Children from The Western Australian Pregnancy Cohort (Raine; n=1,506) Study were genotyped at 17 genetic loci shown to be associated with childhood obesity (FTO, MC4R, TMEM18, GNPDA2, KCTD15, NEGR1, BDNF, ETV5, SEC16B, LYPLAL1, TFAP2B, MTCH2, BCDIN3D, NRXN3, SH2B1, MRSA) and an obesity-risk-allele-score was calculated as the total number of 'risk alleles' possessed by each individual. To determine the statistical method that fits these data and has the ability to detect genetic differences in BMI growth profile, four methods were investigated: linear mixed effects model, linear mixed effects model with skew-t random errors, semi-parametric linear mixed models and a non-linear mixed effects model. Of the four methods, the semi-parametric linear mixed model method was the most efficient for modelling childhood growth to detect modest genetic effects in this cohort. Using this method, three of the 17 loci were significantly associated with BMI intercept or trajectory in females and four in males. Additionally, the obesity-risk-allele score was associated with increased average BMI (female: β=0.0049, P=0.0181; male: β=0.0071, P=0.0001) and rate of growth (female: β=0.0012, P=0.0006; male: β=0.0008, P=0.0068) throughout childhood. Using statistical models appropriate to detect genetic variants, variations in adult obesity genes were associated with childhood growth. There were also differences between males and females. This study provides evidence of genetic effects that may identify individuals early in life that are more likely to rapidly increase their BMI through childhood, which provides some insight into the biology of childhood growth. Show less
no PDF DOI: 10.1371/journal.pone.0053897
NRXN3
Bo Xi, Hong Cheng, Yue Shen +6 more · 2013 · PloS one · PLOS · added 2026-04-24
Recent genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with body mass index (BMI)/generalized obesity. In this study, we aimed to examine the ass Show more
Recent genome-wide association studies have identified many single nucleotide polymorphisms (SNPs) associated with body mass index (BMI)/generalized obesity. In this study, we aimed to examine the associations of identified SNPs with risk of central obesity in a child population from China. We genotyped 11 SNPs (FTO rs9939609, MC4R rs17782313, GNPDA2 rs10938397, BDNF rs6265, FAIM2 rs7138803, NPC1 rs1805081, SEC16B rs10913469, SH2B1 rs4788102, PCSK1rs6235, KCTD15 rs29941, BAT2 rs2844479) in the Chinese children (N = 3502, age range 6-18 years) from the Beijing Child and Adolescent Metabolic Syndrome (BCAMS). Based on the age- and sex- specific waist circumference (WC) standards generated in the BCAMS study, 1196 central obese cases and 2306 controls were identified. Of 11 studied SNPs, four SNPs and genetic risk score (GRS) based on them were statistically significantly associated with central obesity by WC criteria (FTO rs9939609: OR = 1.29, 95%CI = 1.10-1.50, p = 0.001; MC4R rs17782313: OR = 1.27, 95%CI = 1.12-1.44, p = 1.32×10⁻⁴; GNPDA2 rs10938397: OR = 1.22, 95%CI = 1.09-1.37, p = 4.09×10⁻⁴; BDNF rs6265: OR = 1.20, 95%CI = 1.08-1.34, p = 8.86×10⁻⁴; GRS: OR = 1.25, 95%CI 1.16-1.34, p = 2.58×10⁻⁹) after adjustment for sex, age, pubertal stage, physical activity and family history of obesity. Similar observations were made using weight-to-height ratio (WHtR) criterion. However, other SNPs were not associated with central obesity by WC as well as WHtR criterion. Our study replicates the statistically significant association of four SNPs (FTO rs9939609, MC4R rs17782313, GNPDA2 rs10938397, BDNF rs6265) with risk of central obesity in the Chinese children. Show less
no PDF DOI: 10.1371/journal.pone.0056472
SEC16B
Yukinori Okada, Michiaki Kubo, Hiroko Ohmiya +17 more · 2012 · Nature genetics · Nature · added 2026-04-24
Obesity is a disorder with a complex genetic etiology, and its epidemic is a worldwide problem. Although multiple genetic loci associated with body mass index, the most common measure of obesity, have Show more
Obesity is a disorder with a complex genetic etiology, and its epidemic is a worldwide problem. Although multiple genetic loci associated with body mass index, the most common measure of obesity, have been identified in European populations, few studies have focused on Asian populations. Here we report a genome-wide association study and replication studies with 62,245 east Asian subjects, which identified two new body mass index-associated loci in the CDKAL1 locus at 6p22 (rs2206734, P = 1.4 × 10(-11)) and the KLF9 locus at 9q21 (rs11142387, P = 1.3 × 10(-9)), as well as several previously reported loci (the SEC16B, BDNF, FTO, MC4R and GIPR loci, P < 5.0 × 10(-8)). We subsequently performed gene-gene interaction analyses and identified an interaction (P = 2.0 × 10(-8)) between a SNP in the KLF9 locus (rs11142387) and one in the MSTN (also known as GDF8) locus at 2q32 (rs13034723). These findings should provide useful insights into the etiology of obesity. Show less
📄 PDF DOI: 10.1038/ng.1086
GIPR
Wanqing Wen, Yoon-Shin Cho, Wei Zheng +61 more · 2012 · Nature genetics · Nature · added 2026-04-24
Multiple genetic loci associated with obesity or body mass index (BMI) have been identified through genome-wide association studies conducted predominantly in populations of European ancestry. We perf Show more
Multiple genetic loci associated with obesity or body mass index (BMI) have been identified through genome-wide association studies conducted predominantly in populations of European ancestry. We performed a meta-analysis of associations between BMI and approximately 2.4 million SNPs in 27,715 east Asians, which was followed by in silico and de novo replication studies in 37,691 and 17,642 additional east Asians, respectively. We identified ten BMI-associated loci at genome-wide significance (P < 5.0 × 10(-8)), including seven previously identified loci (FTO, SEC16B, MC4R, GIPR-QPCTL, ADCY3-DNAJC27, BDNF and MAP2K5) and three novel loci in or near the CDKAL1, PCSK1 and GP2 genes. Three additional loci nearly reached the genome-wide significance threshold, including two previously identified loci in the GNPDA2 and TFAP2B genes and a newly identified signal near PAX6, all of which were associated with BMI with P < 5.0 × 10(-7). Findings from this study may shed light on new pathways involved in obesity and demonstrate the value of conducting genetic studies in non-European populations. Show less
📄 PDF DOI: 10.1038/ng.1087
GIPR
Julia F Charles, Fabienne Coury, Rosalyn Sulyanto +9 more · 2012 · Bone · Elsevier · added 2026-04-24
Osteoclasts are specialized secretory cells of the myeloid lineage important for normal skeletal homeostasis as well as pathologic conditions of bone including osteoporosis, inflammatory arthritis and Show more
Osteoclasts are specialized secretory cells of the myeloid lineage important for normal skeletal homeostasis as well as pathologic conditions of bone including osteoporosis, inflammatory arthritis and cancer metastasis. Differentiation of these multinucleated giant cells from precursors is controlled by the cytokine RANKL, which through its receptor RANK initiates a signaling cascade culminating in the activation of transcriptional regulators which induce the expression of the bone degradation machinery. The transcription factor nuclear factor of activated T-cells c1 (NFATc1) is the master regulator of this process and in its absence osteoclast differentiation is aborted both in vitro and in vivo. Differential mRNA expression analysis by microarray is used to identify genes of potential physiologic relevance across nearly all biologic systems. We compared the gene expression profile of murine wild-type and NFATc1-deficient osteoclast precursors stimulated with RANKL and identified that the majority of the known genes important for osteoclastic bone resorption require NFATc1 for induction. Here, five novel RANKL-induced, NFATc1-dependent transcripts in the osteoclast are described: Nhedc2, Rhoc, Serpind1, Adcy3 and Rab38. Despite reasonable hypotheses for the importance of these molecules in the bone resorption pathway and their dramatic induction during differentiation, the analysis of mice with mutations in these genes failed to reveal a function in osteoclast biology. Compared to littermate controls, none of these mutants demonstrated a skeletal phenotype in vivo or alterations in osteoclast differentiation or function in vitro. These data highlight the need for rigorous validation studies to complement expression profiling results before functional importance can be assigned to highly regulated genes in any biologic process. Show less
📄 PDF DOI: 10.1016/j.bone.2012.08.113
ADCY3
Ming-Hui Yang, Yuan-Han Yang, Chi-Yu Lu +7 more · 2012 · Journal of proteomics · Elsevier · added 2026-04-24
Alzheimer's disease (AD) is the most common cause of dementia of late life. To enhance our understanding of AD proteome, the serum proteins were analyzed using two-dimensional gel electrophoresis (2DE Show more
Alzheimer's disease (AD) is the most common cause of dementia of late life. To enhance our understanding of AD proteome, the serum proteins were analyzed using two-dimensional gel electrophoresis (2DE) combined with nano-high performance liquid chromatography electrospray ionization tandem mass spectrometry (nano-HPLC-ESI-MS/MS) followed by peptide fragmentation patterning. In this study, six protein spots with differential expression were identified. Five up-regulated proteins were identified as actin, apolipoprotein A-IV (Apo A-IV), inter-alpha-trypsin inhibitor heavy chain H4 (ITIH4), alpha-1-antitrypsin (AAT), and antithrombin-III (AT-III); one protein, activity-dependent neuroprotector homeobox protein (ADNP) was down-regulated in AD patients. These proteins with differential expression in the serum may serve as potential indicators of AD. Our results suggested that ADNP may play an important role in slowing the progression of clinical symptoms of AD. Show less
no PDF DOI: 10.1016/j.jprot.2012.04.017
APOA4
Melissa N Martinez, Christopher H Emfinger, Matthew Overton +9 more · 2012 · Journal of lipid research · added 2026-04-24
Mechanisms underlying changes in HDL composition caused by obesity are poorly defined, partly because mice lack expression of cholesteryl ester transfer protein (CETP), which shuttles triglyceride and Show more
Mechanisms underlying changes in HDL composition caused by obesity are poorly defined, partly because mice lack expression of cholesteryl ester transfer protein (CETP), which shuttles triglyceride and cholesteryl ester between lipoproteins. Because menopause is associated with weight gain, altered glucose metabolism, and changes in HDL, we tested the effect of feeding a high-fat diet (HFD) and ovariectomy (OVX) on glucose metabolism and HDL composition in CETP transgenic mice. After OVX, female CETP-expressing mice had accelerated weight gain with HFD-feeding and impaired glucose tolerance by hyperglycemic clamp techniques, compared with OVX mice fed a low-fat diet (LFD). Sham-operated mice (SHAM) did not show HFD-induced weight gain and had less glucose intolerance than OVX mice. Using shotgun HDL proteomics, HFD-feeding in OVX mice had a large effect on HDL composition, including increased levels of apoA2, apoA4, apoC2, and apoC3, proteins involved in TG metabolism. These changes were associated with decreased hepatic expression of SR-B1, ABCA1, and LDL receptor, proteins involved in modulating the lipid content of HDL. In SHAM mice, there were minimal changes in HDL composition with HFD feeding. These studies suggest that the absence of ovarian hormones negatively influences the response to high-fat feeding in terms of glucose tolerance and HDL composition. CETP-expressing mice may represent a useful model to define how metabolic changes affect HDL composition and function. Show less
no PDF DOI: 10.1194/jlr.M019752
APOA4
Xiao-Yan Zheng, Shui-ping ZHAO, Bi-Lian Yu +2 more · 2012 · Biological chemistry · added 2026-04-24
Apolipoprotein A5 (apoA5), an important determinant of plasma triglyceride (TG) levels, has been recently reported to modulate TG metabolism in hepatocytes. In this study, we investigated whether apoA Show more
Apolipoprotein A5 (apoA5), an important determinant of plasma triglyceride (TG) levels, has been recently reported to modulate TG metabolism in hepatocytes. In this study, we investigated whether apoA5 can be internalized by adipocytes and regulate cellular TG storage. Human preadipocytes, derived from subcutaneous adipose tissue of patients undergoing abdominal surgery, were differentiated into mature adipocytes. Pulse-chase experiments revealed that apoA5 was internalized into human adipocytes, and ∼70% of the apoA5 internalized during the pulse remained intracellular within a 24-h chase, while 30% was degraded. Preincubation with heparin and the receptor-associated protein, both of which prevented the apoA5 interaction with members of the low-density lipoprotein receptor gene family, markedly reduced the uptake of apoA5 by 61% and 52%, respectively, which were subsequently confirmed by Western blot analysis. Using confocal microscopy, we demonstrated that labeled apoA5 surrounded lipid droplets in human adipocytes and colocalized with the known lipid droplet protein perilipin. Importantly, treatment of adipocytes with apoA5 significantly decreased cellular TG storage. In conclusion, apoA5 can be internalized by human adipocytes and may act as a novel regulator to control TG storage in human adipocytes. Show less
no PDF DOI: 10.1515/hsz-2011-0259
APOA5
Da-Ni Zhong, Qiu-Yue Ning, Ji-Zhou Wu +7 more · 2012 · Cancer science · Blackwell Publishing · added 2026-04-24
Familial aggregation of hepatocellular carcinoma (HCC), the third leading cause of cancer death worldwide, has shown to be a common phenomenon. We investigated the association between the genetic back Show more
Familial aggregation of hepatocellular carcinoma (HCC), the third leading cause of cancer death worldwide, has shown to be a common phenomenon. We investigated the association between the genetic background and HCC familial aggregation. Serum samples were collected from HCC family members and normal control family members for screening the differentially expressed protein peaks with the approach of surface-enhanced laser desorption ionization time-of-flight mass spectrometry. Potential genetically associated protein peaks were selected and further identified by matrix assisted laser desorption ionization-time of flight mass spectrometry. A panel of six protein peaks (m/z 6432.94, 8478.35, 9381.91, 17284.67, 17418.34, and 18111.04) were speculated to reflect the genetic susceptibility of HCC familial aggregation. Three of them (m/z 6432.94, 8478.35, and 9381.91) were selected to identify as the candidate proteins. Nine identified proteins, including mostly apolipoprotein family (ApoA1, ApoA2, ApoC3, ApoE) and serum amyloid A protein (SAA), were found overexpressed in the multiple HCC cases family members. The comparative proteomic profiles have suggested that genetic factors ought to be taken into account for familial aggregation of HCC. Show less
no PDF DOI: 10.1111/j.1349-7006.2012.02368.x
APOC3
Tian Yang, Sheng-Yun Cai, Jin Zhang +5 more · 2012 · PloS one · PLOS · added 2026-04-24
Krüppel-like factor 8 (KLF8) plays important role in cell cycle and oncogenic transformation. Here we report the mechanisms by which KLF8 crosstalks with Wnt/β-catenin signaling pathway and regulates Show more
Krüppel-like factor 8 (KLF8) plays important role in cell cycle and oncogenic transformation. Here we report the mechanisms by which KLF8 crosstalks with Wnt/β-catenin signaling pathway and regulates hepatocellular carcinoma (HCC) cells proliferation. We show that overexpression of KLF8 and nucleus accumulation of β-catenin in the human HCC samples are positively correlated. More importantly, KLF8 protein levels plus nucleus accumulation of β-catenin levels were significantly elevated in high-grade HCC compared to low-grade HCC. Using HCC HepG2 cells we find that, on the one hand both protein and mRNA of KLF8 are up-regulated under Wnt3a stimulation, on the other hand overexpression of KLF8 increases the cytoplasm and nucleus accumulation of β-catenin, recruits p300 to β-catenin/T-cell factor 4 (TCF4) transcription complex, enhances TOP flash report gene transcription, and induces Wnt/β-catenin signaling target genes c-Myc, cyclin D1 and Axin1 expression. Knockdown of KLF8 using shRNA inhibits Wnt3a induced transcription of TOP flash report gene and expression of c-Myc, cyclin D1 and Axin1. Knockdown of β-catenin by shRNA rescues the enhanced HepG2 and Hep3B cells proliferation ability induced by overexpression of KLF8. Show less
📄 PDF DOI: 10.1371/journal.pone.0039668
AXIN1
Yong-Guo Zhang, Shaoping Wu, Yinglin Xia +5 more · 2012 · PloS one · PLOS · added 2026-04-24
Axin1 and its homolog Axin2 are scaffold proteins essential for regulating Wnt signaling. Axin-dependent regulation of Wnt is important for various developmental processes and human diseases. However, Show more
Axin1 and its homolog Axin2 are scaffold proteins essential for regulating Wnt signaling. Axin-dependent regulation of Wnt is important for various developmental processes and human diseases. However, the involvement of Axin1 and Axin2 in host defense and inflammation remains to be determined. Here, we report that Axin1, but not Axin2, plays an essential role in host-pathogen interaction mediated by the Wnt pathway. Pathogenic Salmonella colonization greatly reduces the level of Axin1 in intestinal epithelial cells. This reduction is regulated at the posttranslational level in early onset of the bacterial infection. Further analysis reveals that the DIX domain and Ser614 of Axin1 are necessary for the Salmonella-mediated modulation through ubiquitination and SUMOylation. Axin1 apparently has a preventive effect on bacterial invasiveness and inflammatory response during the early stages of infection. The results suggest a distinct biological function of Axin1 and Axin2 in infectious disease and intestinal inflammation while they are functionally equivalent in developmental settings. Show less
📄 PDF DOI: 10.1371/journal.pone.0034942
AXIN1
Zhiqiang Li, Yeqi Wang, Min Zhang +4 more · 2012 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
The Motin family proteins can regulate cell polarity, cell mobility, and proliferation during embryonic development by controlling distinct signaling pathways. In this study, we demonstrate that amotl Show more
The Motin family proteins can regulate cell polarity, cell mobility, and proliferation during embryonic development by controlling distinct signaling pathways. In this study, we demonstrate that amotl2 knockdown in zebrafish wild-type embryos results in embryonic dorsalization, and this effect can be antagonized by co-knockdown of the dorsal inducer β-catenin2. Overexpression of amotl2 in masterblind (mbl) homozygous embryos, in which canonical Wnt signaling is up-regulated due to an axin1 mutation, transforms eyeless phenotype into smaller eyes, whereas co-knockdown of amot, amotl1, and amotl2 leads to development of smaller eyes in mbl heterozygotes. In cultured mammalian cells, Motin family members all possess the ability to attenuate Wnt/β-catenin signaling. Focusing on Amotl2, we show that Amotl2 can associate with and trap β-catenin in the Rab11-positive recycling endosomes, and as a result, the amount of β-catenin in the cytosol and nucleus is reduced. Thus, our findings provide novel insights into functions of Motin family members and regulation of Wnt/β-catenin signaling. Show less
no PDF DOI: 10.1074/jbc.M112.347419
AXIN1
Sarah V Holt, Armelle Logie, Barry R Davies +10 more · 2012 · Cancer research · added 2026-04-24
The mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase/AKT signaling pathways interact at multiple nodes in cancer, including at mTOR complexes, suggesting an increased likelihood o Show more
The mitogen-activated protein kinase (MAPK) and phosphoinositide 3-kinase/AKT signaling pathways interact at multiple nodes in cancer, including at mTOR complexes, suggesting an increased likelihood of redundancy and innate resistance to any therapeutic effects of single pathway inhibition. In this study, we investigated the therapeutic effects of combining the MAPK extracellular signal-regulated kinase (MEK)1/2 inhibitor selumetinib (AZD6244) with the dual mTORC1 and mTORC2 inhibitor (AZD8055). Concurrent dosing in nude mouse xenograft models of human lung adenocarcinoma (non-small cell lung cancers) and colorectal carcinoma was well tolerated and produced increased antitumor efficacy relative to the respective monotherapies. Pharmacodynamic analysis documented reciprocal pathway inhibition associated with increased apoptosis and Bim expression in tumor tissue from the combination group, where key genes such as DUSP6 that are under MEK functional control were also modulated. Our work offers a strong rationale to combine selumetinib and AZD8055 in clinical trials as an attractive therapeutic strategy. Show less
no PDF DOI: 10.1158/0008-5472.CAN-11-1780
DUSP6