πŸ‘€ Douglas C 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, 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, Jiayu 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
Zhen-Tao Deng, Yu-Chen Liu, Qin-Feng Zhu +3 more Β· 2022 Β· Chemistry & biodiversity Β· Wiley Β· added 2026-04-24
Five new fawcettimine-type Lycopodium alkaloids, hupertimines A-E (1-5), were discovered from the whole plant of Huperzia serrata, along with two known alkaloids, 8Ξ±-hydroxyphlegmariurine B (6) and 8Ξ² Show more
Five new fawcettimine-type Lycopodium alkaloids, hupertimines A-E (1-5), were discovered from the whole plant of Huperzia serrata, along with two known alkaloids, 8Ξ±-hydroxyphlegmariurine B (6) and 8Ξ²-hydroxyphlegmariurine B (7). The structures of 1-7 were identified through HR-MS, IR, Show less
no PDF DOI: 10.1002/cbdv.202200454
BACE1
Meini Wu, Xiutao Zhao, Xiaoli Zhu +7 more Β· 2022 Β· Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Β· Elsevier Β· added 2026-04-24
Platelet activation is commonly detected after infection by multiple viruses such as human immunodeficiency virus (HIV), H1N1 influenza, Hepatitis C virus (HCV), Ebola virus (EBV), and Dengue virus (D Show more
Platelet activation is commonly detected after infection by multiple viruses such as human immunodeficiency virus (HIV), H1N1 influenza, Hepatitis C virus (HCV), Ebola virus (EBV), and Dengue virus (DENV). Non-coding RNAs (ncRNAs) constitute the majority of the human transcribed genome, but the biology of platelet ncRNAs is largely unexplored. In this study, we performed microarray profiling to characterize the expression profile of human platelets infected with EBV in vitro after 2Β h. A total of 187 long non-coding RNAs (lncRNAs) displayed differences, of which 114 were upregulated and 73 were downregulated; 78 microRNAs (miRNAs) showed differences, including 73 upregulated and 5 downregulated; 808 mRNAs displayed differences, among which 367 were upregulated and 441 were downregulated. Gene ontology (GO) analysis mostly related to G protein-coupled receptor signaling pathway, detection of chemical stimulus involved in sensory perception of smell and regulation of transcription by RNA polymerase II. Pathway analysis showed that the differentially expressed genes were mainly enriched in cell metabolism and immune-related response. A ceRNA network was established based on predicting regulatory pairs in differentially expressed genes, in which hsa-miR-6877-3p had the highest regulatory capability (degreeΒ =Β 31), FAM230A was the lncRNA with the highest regulatory capability (degreeΒ =Β 28). According to the EBV related miRNA regulation network, it revealed that ebv-miR-BART19-3p had the most target genes and BRWD1, FAM126B, TFRC and JMY were the genes most regulated by EBV-related miRNAs. After overlapping the three networks, we found that the EIFAK2 gene was strongly correlated with autologous ncRNAs, including hsa-miR-1972, hsa-miR-504-3p and hsa-miR-6825-5p, as well as with EBV ncRNAs, including EBER1, EBER2, miR-BART7-3p and miR-BART16. The present study contributes to a better understanding of the expression profiling of ncRNAs and their functions in platelets activated by EBV in vitro, and paves the way to further study on platelet function. Show less
no PDF DOI: 10.1016/j.meegid.2022.105312
BRWD1
Dong Han, Guangming Wu, Rui Chen +9 more Β· 2022 Β· Science advances Β· Science Β· added 2026-04-24
Oct4 collaborates primarily with other transcriptional factors or coregulators to maintain pluripotency. However, how Oct4 exerts its function is still unclear. Here, we show that the Oct4 linker inte Show more
Oct4 collaborates primarily with other transcriptional factors or coregulators to maintain pluripotency. However, how Oct4 exerts its function is still unclear. Here, we show that the Oct4 linker interface mediates competing yet balanced Oct4 protein interactions that are crucial for maintaining pluripotency. Oct4 linker mutant embryonic stem cells (ESCs) show decreased expression of self-renewal genes and increased expression of differentiation genes, resulting in impaired ESC self-renewal and early embryonic development. The linker mutation interrupts the balanced Oct4 interactome. In mutant ESCs, the interaction between Oct4 and Klf5 is decreased. In contrast, interactions between Oct4 and Cbx1, Ctr9, and Cdc73 are increased, disrupting the epigenetic state of ESCs. Control of the expression level of Klf5, Cbx1, or Cdc73 rebalances the Oct4 interactome and rescues the pluripotency of linker mutant ESCs, indicating that such factors interact with Oct4 competitively. Thus, we provide previously unidentified molecular insights into how Oct4 maintains pluripotency. Show less
πŸ“„ PDF DOI: 10.1126/sciadv.abe4375
CBX1
Ying Wu, Hehe Du, Lin Zhu +5 more Β· 2022 Β· Fish & shellfish immunology Β· Elsevier Β· added 2026-04-24
Antimicrobial peptides are crucial components of innate immunity against microbial invasions. As a kind of antimicrobial peptides, bactericidal permeability-increasing protein (BPI)/lipopolysaccharide Show more
Antimicrobial peptides are crucial components of innate immunity against microbial invasions. As a kind of antimicrobial peptides, bactericidal permeability-increasing protein (BPI)/lipopolysaccharide-binding protein (LBP) play vital roles in defending the host against gram-negative bacteria. In the current study, a novel BPI/LBP from Trachinotus ovatus (TroBPI/LBP) was characterized. The full length of TroBPI/LBP cDNA sequence is 1434 bp, which contained 477 amino acids. Multiple amino acid alignments of TroBPI/LBP shows 34.07%-84.49% identity with other fish BPI/LBP. Similar to other BPI/LBP, TroBPI/LBP also possesses an N-terminal signal peptide, a BPI/LBP/CETP N-terminal domain, and a BPI/LBP/CETP C-terminal domain. In vitro, the recombinant protein of TroBPI/LBP showed effective bacterial depression activity and binding activity to gram-negative bacteria. In vivo, TroBPI/LBP was constitutively expressed in tested tissues, and the highest expression level was in liver. Following Vibrio alginolyticus stimulation, the mRNA expression of TroBPI/LBP was significantly upregulated in immune-related tissues, and peaked at 12Β h post-infection, which confirmed that TroBPI/LBP was highly sensitive to V. alginolyticus stimuli. Furthermore, functional analyses showed that the overexpression of TroBPI/LBP could enhance the ability of fish to against V. alginolyticus infection, and the knockdown of TroBPI/LBP significantly diminished bacterial clearance capacity post-infection. Therefore, these results suggest that TroBPI/LBP may play an important role in host defense against bacterial infection. Show less
no PDF DOI: 10.1016/j.fsi.2022.10.065
CETP
Yuxin Zhang, Qinghao Liu, Wangcang Su +5 more Β· 2022 Β· Pest management science Β· Wiley Β· added 2026-04-24
S-metolachlor (MET) was used to prevent weed infestation in sorghum fields, but inappropriate application could result in phytotoxicity on sorghum. Exogenous gibberellin A Leaf deformity of sorghum ca Show more
S-metolachlor (MET) was used to prevent weed infestation in sorghum fields, but inappropriate application could result in phytotoxicity on sorghum. Exogenous gibberellin A Leaf deformity of sorghum caused by 200 mg/L MET was alleviated by treating sorghum shoots with 800 mg/L GA In this study, exogenous GA Show less
no PDF DOI: 10.1002/ps.7068
CPS1
Ze Xiang, Bin Jiang, Wei Li +4 more Β· 2022 Β· Journal of medical virology Β· Wiley Β· added 2026-04-24
Early diagnosis and prognosis evaluation are of great significance to hepatitis E virusΒ (HEV)-related acute liver failure (HEV-ALF) patients. We collected serum samples from 200 health controls (HCs), Show more
Early diagnosis and prognosis evaluation are of great significance to hepatitis E virusΒ (HEV)-related acute liver failure (HEV-ALF) patients. We collected serum samples from 200 health controls (HCs), 200 patients with acute hepatitis E (AHE), and 200 HEV-ALF patients to evaluate serum exosome-derived carbamoyl phosphate synthase 1 (CPS1) levels and determine its diagnostic and prognostic value. The exosome-derived CPS1 levels in the HEV-ALF group were significantly higher than those in the AHE and HCs groups. The AUC of exosome-derived CPS1 to predict the occurrence of HEV-ALF was 0.850 (0.811-0.883). Both logistical regression and orthogonal partial least squares discriminant analysis (OPLS-DA) showed that exosome-derived CPS1 is an independent risk factor for HEV-ALF. The exosome-derived CPS1 levels were positively correlated with organ failureΒ and the outcomes in HEV-ALF patients. The exosome-derived CPS1 levels in the worsening group were significantly higher than those in the fluctuating and the improving groups. The AUC of serum exosome-derived CPS1 to predict 30-day mortality was 0.829 (0.770-0.879), which was significantly greater than that of the Child-Pugh, KCH, and MELD models. The level of serum exosome-derived CPS1 might serve as a promising diagnostic and prognostic biomarker for HEV-ALF patients, which may provide better guidance for the diagnosis, prognosis, and treatment of HEV-ALF patients. Show less
no PDF DOI: 10.1002/jmv.27961
CPS1
Jing Wu, Jiayu Liu, Kalina Lapenta +3 more Β· 2022 Β· Journal of molecular cell biology Β· Oxford University Press Β· added 2026-04-24
O-linked N-acetyl-glucosamine glycosylation (O-GlcNAcylation) of intracellular proteins is a dynamic process broadly implicated in age-related disease, yet it remains uncharacterized whether and how O Show more
O-linked N-acetyl-glucosamine glycosylation (O-GlcNAcylation) of intracellular proteins is a dynamic process broadly implicated in age-related disease, yet it remains uncharacterized whether and how O-GlcNAcylation contributes to the natural aging process. O-GlcNAc transferase (OGT) and the opposing enzyme O-GlcNAcase (OGA) control this nutrient-sensing protein modification in cells. Here, we show that global O-GlcNAc levels are increased in multiple tissues of aged mice. In aged liver, carbamoyl phosphate synthetase 1 (CPS1) is among the most heavily O-GlcNAcylated proteins. CPS1 O-GlcNAcylation is reversed by calorie restriction and is sensitive to genetic and pharmacological manipulations of the O-GlcNAc pathway. High glucose stimulates CPS1 O-GlcNAcylation and inhibits CPS1 activity. Liver-specific deletion of OGT potentiates CPS1 activity and renders CPS1 irresponsive to further stimulation by a prolonged fasting. Our results identify CPS1 O-GlcNAcylation as a key nutrient-sensing regulatory step in the urea cycle during aging and dietary restriction, implying a role for mitochondrial O-GlcNAcylation in nutritional regulation of longevity. Show less
πŸ“„ PDF DOI: 10.1093/jmcb/mjac016
CPS1
Ru Li, Huan Zhang, Fan Tang +6 more Β· 2022 Β· Frontiers in cardiovascular medicine Β· Frontiers Β· added 2026-04-24
Single nucleotide polymorphisms that affect RNA modification (RNAm-SNPs) may have functional roles in coronary artery disease (CAD). The aim of this study was to identify RNAm-SNPs in CAD susceptibili Show more
Single nucleotide polymorphisms that affect RNA modification (RNAm-SNPs) may have functional roles in coronary artery disease (CAD). The aim of this study was to identify RNAm-SNPs in CAD susceptibility loci and highlight potential risk factors. CAD-associated RNAm-SNPs were identified in the CARDIoGRAMplusC4D and UK Biobank genome-wide association studies. Gene expression and circulating protein levels affected by the RNAm-SNPs were identified by QTL analyses. Cell experiments and Mendelian randomization (MR) methods were applied to test whether the gene expression levels were associated with CAD. We identified 81 RNAm-SNPs that were associated with CAD or acute myocardial infarction (AMI), including m The present study identified RNAm-SNPs in CAD susceptibility genes, gene expression and circulating proteins as risk factors for CAD and suggested that RNA modification may play a role in the pathogenesis of CAD. Show less
πŸ“„ PDF DOI: 10.3389/fcvm.2022.985121
DHX36
Liu Wang, Ya-Peng Xu, Di Bai +4 more Β· 2022 Β· The Journal of biological chemistry Β· Elsevier Β· added 2026-04-24
RNA G-quadruplexes (rG4s) are noncanonical RNA secondary structures formed by guanine (G)-rich sequences. These complexes play important regulatory roles in both animals and plants through their struc Show more
RNA G-quadruplexes (rG4s) are noncanonical RNA secondary structures formed by guanine (G)-rich sequences. These complexes play important regulatory roles in both animals and plants through their structural dynamics and are closely related to human diseases and plant growth, development, and adaption. Thus, studying the structural dynamics of rG4s is fundamentally important; however, their folding pathways and their unfolding by specialized helicases are not well understood. In addition, no plant rG4-specialized helicases have been identified. Here, using single-molecule FRET, we experimentally elucidated for the first time the folding pathway and intermediates, including a G-hairpin and G-triplex. In addition, using proteomics screening and microscale thermophoresis, we identified and validated five rG4-specialized helicases in Arabidopsis thaliana. Furthermore, DExH1, the ortholog of the famous human rG4 helicase RHAU/DHX36, stood out for its robust rG4 unwinding ability. Taken together, these results shed light on the structural dynamics of plant rG4s. Show less
πŸ“„ PDF DOI: 10.1016/j.jbc.2022.102165
DHX36
ZhaoHui Chen, Haitao Wen, Jinwei Zhang +2 more Β· 2022 Β· BioMed research international Β· added 2026-04-24
Gliomas, the most prevalent brain tumors, account for nearly one-third of the all brain and central nervous system (CNS) tumors diagnosed in the USA. The purpose of this study was to discuss the impor Show more
Gliomas, the most prevalent brain tumors, account for nearly one-third of the all brain and central nervous system (CNS) tumors diagnosed in the USA. The purpose of this study was to discuss the important role of A kinase-interacting protein 1 (AKIP1) in glioma and reveal the potential mechanism. After prediction by CCLE, the expression of AKIP1 was determined by qRT-PCR and western blot. The impacts of AKIP1 knockdown on the proliferation, migration, and invasion were then measured by MTT, colony formation assay, wound healing, and transwell assays. Western blot was used to assess the protein levels of migration and epithelial-mesenchymal transition- (EMT-) related factors. Subsequently, the expression of Disks Large Homolog 2 (DLG2) was predicted by bioinformatics analyses, and the interaction between AKIP1 and DLG2 was confirmed by IP assay, qRT-PCR, and western blot. Finally, DLG2 was further downregulated in glioma cells to detect the association between AKIP1 and DLG2 in the cellular functions of glioma. It was demonstrated that AKIP1 exhibited a high level in glioma cells, and interference of AKIP1 led to reductions in the proliferation, migration, invasion, and EMT of glioma cells. DLG2, which was lowly expressed in glioma cells, demonstrated a negative link to AKIP2. Inhibition of both AKIP2 and DLG2 counteracted the inhibited cellular behaviors on account of AKIP1 interference. To be concluded, this study presented evidence that AKIP1 silencing suppressed the progression of glioma via targeting DLG2, which could provide novel insights to impede the development of glioma. Show less
πŸ“„ PDF DOI: 10.1155/2022/5648011
DLG2
Gao Guo, Ke Gong, Nicole Beckley +27 more Β· 2022 Β· Nature cell biology Β· Nature Β· added 2026-04-24
The epidermal growth factor receptor (EGFR) is a prime oncogene that is frequently amplified in glioblastomas. Here we demonstrate a new tumour-suppressive function of EGFR in EGFR-amplified glioblast Show more
The epidermal growth factor receptor (EGFR) is a prime oncogene that is frequently amplified in glioblastomas. Here we demonstrate a new tumour-suppressive function of EGFR in EGFR-amplified glioblastomas regulated by EGFR ligands. Constitutive EGFR signalling promotes invasion via activation of a TAB1-TAK1-NF-ΞΊB-EMP1 pathway, resulting in large tumours and decreased survival in orthotopic models. Ligand-activated EGFR promotes proliferation and surprisingly suppresses invasion by upregulating BIN3, which inhibits a DOCK7-regulated Rho GTPase pathway, resulting in small hyperproliferating non-invasive tumours and improved survival. Data from The Cancer Genome Atlas reveal that in EGFR-amplified glioblastomas, a low level of EGFR ligands confers a worse prognosis, whereas a high level of EGFR ligands confers an improved prognosis. Thus, increased EGFR ligand levels shift the role of EGFR from oncogene to tumour suppressor in EGFR-amplified glioblastomas by suppressing invasion. The tumour-suppressive function of EGFR can be activated therapeutically using tofacitinib, which suppresses invasion by increasing EGFR ligand levels and upregulating BIN3. Show less
πŸ“„ PDF DOI: 10.1038/s41556-022-00962-4
DOCK7
Xi Wu, Jian Wang, Yan Kang +5 more Β· 2022 Β· Genes Β· MDPI Β· added 2026-04-24
Yangtze River Delta white goats are the sole goat breed producing brush hair of high quality. The gene
πŸ“„ PDF DOI: 10.3390/genes13111973
DUSP6
Xiaohai Zhou, Chenyang Zhang, Xueying Wu +15 more Β· 2022 Β· Nature communications Β· Nature Β· added 2026-04-24
Dual-specificity phosphatase 6 (DUSP6) serves a specific and conserved function on the dephosphorylation of extracellular signal-regulated kinase 1/2 (ERK1/2). We previously identified Dusp6 as a rege Show more
Dual-specificity phosphatase 6 (DUSP6) serves a specific and conserved function on the dephosphorylation of extracellular signal-regulated kinase 1/2 (ERK1/2). We previously identified Dusp6 as a regenerative repressor during zebrafish heart regeneration, therefore we propose to investigate the role of this repressor in mammalian cardiac repair. Utilizing a rat strain harboring Dusp6 nonsense mutation, rat neutrophil-cardiomyocyte co-culture, bone marrow transplanted rats and neutrophil-specific Dusp6 knockout mice, we find that Dusp6 deficiency improves cardiac outcomes by predominantly attenuating neutrophil-mediated myocardial damage in acute inflammatory phase after myocardial infarction. Mechanistically, Dusp6 is transcriptionally activated by p38-C/EBPΞ² signaling and acts as an effector for maintaining p-p38 activity by down-regulating pERK and p38-targeting phosphatases DUSP1/DUSP16. Our findings provide robust animal models and novel insights for neutrophil-mediated cardiac damage and demonstrate the potential of DUSP6 as a therapeutic target for post-MI cardiac remodeling and other relevant inflammatory diseases. Show less
πŸ“„ PDF DOI: 10.1038/s41467-022-33631-z
DUSP6
Binyu Song, Hao Chi, Gaoge Peng +11 more Β· 2022 Β· Frontiers in oncology Β· Frontiers Β· added 2026-04-24
Skin cutaneous melanoma (SKCM) is an extremely metastatic form of skin cancer. However, there are few valuable molecular biomarkers, and accurate diagnosis is still a challenge. Hypercoagulable state Show more
Skin cutaneous melanoma (SKCM) is an extremely metastatic form of skin cancer. However, there are few valuable molecular biomarkers, and accurate diagnosis is still a challenge. Hypercoagulable state encourages the infiltration and development of tumor cells and is significantly associated with poor prognosis in cancer patients. However, the use of a coagulation-related gene (CRG) signature for prognosis in SKCM, on the other hand, has yet to be determined. We used data from The Cancer Genome Atlas (TCGA) and Genotype Tissue Expression (GTEx) databases to identify differentially expressed CRGs, then designed a prognostic model by using the LASSO algorithm, univariate and multivariate Cox regression analysis, and constructed a nomogram which was evaluated by calibrationΒ curves. Moreover, the Gene Expression Omnibus (GEO), GSE54467 was used as an independent validation. The correlation between risk score and clinicopathological characteristics, tumor microenvironment (TME), and immunotherapy was further analyzed. To develop a prognostic model, seven CRGs in SKCM patients related to overall survival (OS) were selected: ANG, C1QA, CFB, DUSP6, KLKB1, MMP7, and RABIF. According to the Kaplan-Meier survival analysis, an increased OS was observed in the low-risk group than in the high-risk group (P<0.05). Immunotherapy was much more beneficial in the low-risk group, as per immune infiltration, functional enrichment, and immunotherapy analysis. The prognosis of SKCM patients may now be predicted with the use of a CRG prognostic model, thus guiding the development of treatment plans for SKCM patients and promoting OS rates. Show less
πŸ“„ PDF DOI: 10.3389/fonc.2022.975255
DUSP6
Bingkai Xiao, Yue Zhang, Zekun Lu +8 more Β· 2022 Β· Acta biochimica et biophysica Sinica Β· added 2026-04-24
ERK1/2 are essential proteins mediating mitogen-activated protein kinase signaling downstream of RAS in pancreatic adenocarcinoma (PDAC). Our previous study reveals that ARF6 plays a positive regulato Show more
ERK1/2 are essential proteins mediating mitogen-activated protein kinase signaling downstream of RAS in pancreatic adenocarcinoma (PDAC). Our previous study reveals that ARF6 plays a positive regulatory role in ERK1/2 pathway in a feedback loop manner. A significant part of the literature on ARF6 has emphasized its oncogenic effect as an essential downstream molecule of ERK1/2, and no research has been done on the regulation mechanisms of the feedback loop between ARF6 and the ERK1/2 signaling pathway. In the present study, we explore the gene network downstream of Show less
πŸ“„ PDF DOI: 10.3724/abbs.2022111
DUSP6
Jinyu Wu, Peng Wang, Zhuo Han +9 more Β· 2022 Β· Cancer science Β· Blackwell Publishing Β· added 2026-04-24
Hepatocellular carcinoma (HCC) is a malignancy with a dismal survival rate. The novel autoantibodies panel may provide new insights for the diagnosis of HCC. Biomarkers screened by two methods (bioinf Show more
Hepatocellular carcinoma (HCC) is a malignancy with a dismal survival rate. The novel autoantibodies panel may provide new insights for the diagnosis of HCC. Biomarkers screened by two methods (bioinformatics and the antigen-antibody system) were taken as candidate tumor-associated antigens (TAAs). Enzyme-linked immunosorbent assay was used to detect the corresponding autoantibodies in 888 samples of verification and validation cohorts. The verification cohort was used to verify the autoantibodies. Samples in the validation cohort were randomly divided into a train set and a test set with the ratio of 6:4. A diagnostic model was established by support vector machines within the train set. The test set further verified the model. Eleven TAAs were selected (AAGAB, C17orf75, CDC37L1, DUSP6, EID3, PDIA2, RGS20, PCNA, TAF7L, TBC1D13, and ZIC2). The titer of six autoantibodies (PCNA, AAGAB, CDC37L1, TAF7L, DUSP6, and ZIC2) had a significant difference in any of the pairwise comparisons among the HCC, liver cirrhosis, and normal control groups. The titer of these autoantibodies had an increasing tendency. Finally, an optimum diagnostic model was constructed with the six autoantibodies. The AUCs were 0.826 in the train set and 0.773 in the test set. The area under the curve (AUC) of this panel for diagnosing early HCC was 0.889. The diagnostic ability of the panel reduced with the progress of HCC. The positive rate of the panel in diagnosing alpha-fetoprotein (AFP)-negative patients was 75.6%. For early HCC, the sensitivity of the combination of AFP with the panel was 90.9% and superior to 53.2% of AFP alone. The novel immunodiagnosis panel combining AFP may be a new approach for the diagnosis of HCC, especially for early-HCC cases. Show less
πŸ“„ PDF DOI: 10.1111/cas.15217
DUSP6
Wanlu Liu, Xinwei Shi, Yuqi Li +2 more Β· 2022 Β· Clinical case reports Β· Wiley Β· added 2026-04-24
To identify the pathogenic gene variation in a Chinese family with Hereditary Multiple Exostoses (HME). By examining blood-sourced DNA and clinical manifestations of the proband and his family members Show more
To identify the pathogenic gene variation in a Chinese family with Hereditary Multiple Exostoses (HME). By examining blood-sourced DNA and clinical manifestations of the proband and his family members, the whole exome sequencing (WES) and Sanger sequencing were used to detect possibly pathogenic mutations. A novel heterozygous mutation (c.325dup) was identified in exon 1 of the Show less
πŸ“„ PDF DOI: 10.1002/ccr3.6298
EXT1
Hong Xu, Yuhang Li, Yanan Jiang +9 more Β· 2022 Β· Frontiers in genetics Β· Frontiers Β· added 2026-04-24
πŸ“„ PDF DOI: 10.3389/fgene.2022.827840
EXT1
Wenhui Wang, Yan Chen, Liang Wu +8 more Β· 2022 Β· BMC medical genomics Β· BioMed Central Β· added 2026-04-24
Hepatitis B virus (HBV) related hepatocellular carcinoma (HCC) is heterogeneous and frequently contains multifocal tumors, but how the multifocal tumors relate to each other in terms of HBV integratio Show more
Hepatitis B virus (HBV) related hepatocellular carcinoma (HCC) is heterogeneous and frequently contains multifocal tumors, but how the multifocal tumors relate to each other in terms of HBV integration and other genomic patterns is not clear. To interrogate heterogeneity of HBV-HCC, we developed a HBV genome enriched single cell sequencing (HGE-scSeq) procedure and a computational method to identify HBV integration sites and infer DNA copy number variations (CNVs). We performed HGE-scSeq on 269 cells from four tumor sites and two tumor thrombi of a HBV-HCC patient. HBV integrations were identified in 142 out of 269 (53%) cells sequenced, and were enriched in two HBV integration hotspots chr1:34,397,059 (CSMD2) and chr8:118,557,327 (MED30/EXT1). There were also 162 rare integration sites. HBV integration sites were enriched in DNA fragile sites and sequences around HBV integration sites were enriched for microhomologous sequences between human and HBV genomes. CNVs were inferred for each individual cell and cells were grouped into four clonal groups based on their CNVs. Cells in different clonal groups had different degrees of HBV integration heterogeneity. All of 269 cells carried chromosome 1q amplification, a recurrent feature of HCC tumors, suggesting that 1q amplification occurred before HBV integration events in this case study. Further, we performed simulation studies to demonstrate that the sequential events (HBV infecting transformed cells) could result in the observed phenotype with biologically reasonable parameters. Our HGE-scSeq data reveals high heterogeneity of HCC tumor cells in terms of both HBV integrations and CNVs. There were two HBV integration hotspots across cells, and cells from multiple tumor sites shared some HBV integration and CNV patterns. Show less
πŸ“„ PDF DOI: 10.1186/s12920-022-01264-2
EXT1
Chenqi Tao, Neoklis Makrides, Jen-Zen Chuang +5 more Β· 2022 Β· Development (Cambridge, England) Β· added 2026-04-24
Glycosaminoglycans are ubiquitously expressed polysaccharides that are attached to proteoglycans. Here, we showed that ablation of the heparan sulfate (HS) polymerase Ext1 in retinal progenitor cells Show more
Glycosaminoglycans are ubiquitously expressed polysaccharides that are attached to proteoglycans. Here, we showed that ablation of the heparan sulfate (HS) polymerase Ext1 in retinal progenitor cells did not affect initial progression of retinal angiogenesis, but it disrupted the pruning of blood vessels and establishment of arterioles and venules. In the absence of retinal HS, blood vessels were also vulnerable to high oxygen tension in early postnatal stages, which could be rescued by exogenous vascular endothelial growth factor (VEGF), consistent with the role of retinal HS in the fine-tuning of VEGF signaling. Furthermore, we observed that the retinal inner limiting membrane (ILM) was disrupted by deletion of Ext1 in a timing-specific manner, suggesting that retinal HS is required for the assembly but not the maintenance of the basement membrane. Lastly, we showed that further deletion of C4st1, a chondroitin sulfate (CS) sulfation enzyme, did not affect the assembly of the ILM but, when combined with Ext1 deletion, it aggravated the retinal permeability by disrupting the retinal glycocalyx. These results demonstrate an important role of CS and HS in establishing the barrier function of the extracellular matrix. Show less
no PDF DOI: 10.1242/dev.200569
EXT1
Qian Xu, Chunyan Wu, Qi Zhu +25 more Β· 2022 Β· Nature aging Β· Nature Β· added 2026-04-24
A better understanding of the biological and environmental variables that contribute to exceptional longevity has the potential to inform the treatment of geriatric diseases and help achieve healthy a Show more
A better understanding of the biological and environmental variables that contribute to exceptional longevity has the potential to inform the treatment of geriatric diseases and help achieve healthy aging. Here, we compared the gut microbiome and blood metabolome of extremely long-lived individuals (94-105 years old) to that of their children (50-79 years old) in 116 Han Chinese families. We found extensive metagenomic and metabolomic remodeling in advanced age and observed a generational divergence in the correlations with socioeconomic factors. An analysis of quantitative trait loci revealed that genetic associations with metagenomic and metabolomic features were largely generation-specific, but we also found 131 plasma metabolic quantitative trait loci associations that were cross-generational with the genetic variants concentrated in six loci. These included associations between FADS1/2 and arachidonate, PTPA and succinylcarnitine and FLVCR1 and choline. Our characterization of the extensive metagenomic and metabolomic remodeling that occurs in people reaching extreme ages may offer new targets for aging-related interventions. Show less
πŸ“„ PDF DOI: 10.1038/s43587-022-00193-0
FADS1
Cheng Zhou, Wenji Zhang, Hui Lin +10 more Β· 2022 Β· Frontiers in pharmacology Β· Frontiers Β· added 2026-04-24
Nonalcoholic fatty liver disease (NAFLD), one of the risk factors for hepatitis, cirrhosis, and even hepatic carcinoma, has been a global public health problem. The polyphenol compound theaflavin-3,3' Show more
Nonalcoholic fatty liver disease (NAFLD), one of the risk factors for hepatitis, cirrhosis, and even hepatic carcinoma, has been a global public health problem. The polyphenol compound theaflavin-3,3'-digallate (TF3), mainly extracted from black tea, has been reported to produce an effect on hypoglycemic and antilipid deposition Show less
πŸ“„ PDF DOI: 10.3389/fphar.2022.925264
FADS1
Junbin Yan, Yunmeng Nie, Yuan Liu +4 more Β· 2022 Β· Frontiers in cellular and infection microbiology Β· Frontiers Β· added 2026-04-24
To investigate the treating effect of Yiqi-Bushen-Tiaozhi (YBT) recipe on nonalcoholic steatohepatitis (NASH) mice, determine whether the outcome was associated with gut microbiota, and clarify the re Show more
To investigate the treating effect of Yiqi-Bushen-Tiaozhi (YBT) recipe on nonalcoholic steatohepatitis (NASH) mice, determine whether the outcome was associated with gut microbiota, and clarify the regulating mechanism. NASH mice were induced by high-fat and high-fructose diets (HFFD). In the fifth week, mice in the YBT group were orally administrated YBT (22.12gΒ·kg Results of the pathological and biochemical index showed that YBT could improve NASH mice. Compared with improving inflammation and hepatocyte damage, YBT may be more focused on enhancing metabolic disorders in mice, such as increasing HDL-c level. The diversity and richness of the gut microbiota of NASH mice induced by HFFD are significantly different from the normal control (NC) group. After YBT treatment, the diversity and richness of the mice microbiota will be increased to similar NC mice. YBT could treat NASH mice by improving the diversity and richness of gut microbiota and further the improvement of ALA metabolism. Show less
πŸ“„ PDF DOI: 10.3389/fcimb.2022.824597
FADS1
Jinze Shen, Yuchen Wu, Wenjing Ruan +2 more Β· 2022 Β· Frontiers in oncology Β· Frontiers Β· added 2026-04-24
MiR-1908 is a miRNA located in the intron of the fatty acid desaturase 1 (FADS1) gene. The expression level of miR-1908 is abnormal in many diseases such as cancer. miR-1908 can inhibit the expression Show more
MiR-1908 is a miRNA located in the intron of the fatty acid desaturase 1 (FADS1) gene. The expression level of miR-1908 is abnormal in many diseases such as cancer. miR-1908 can inhibit the expression of at least 27 target genes by binding to the 3' untranslated region (3' UTR) of target genes. miR-1908 is involved in the biological processes of cell proliferation, cell differentiation, cell apoptosis, cancer cell invasion, and metastasis. The expression of miR-1908 is regulated by 11 factors, including lncRNA HOTTIP, adipokines (TNF-Ξ±, leptin, and resistin), NF-ΞΊB, free fatty acid (FFA), cholesterol, stearoyl-CoA desaturase (SCD1), immune-related transcription factors (STAT1, RB1, and IRF1). The expression of miR-1908 is also affected by the anticancer drug OSW-1, growth hormone (GH), and the anticonvulsant drug sodium valproate. In addition, the aberrant expression of miR-1908 is also related to the prognosis of a variety of cancers, including non-small cell lung cancer (NSCLC), ovarian cancer (OC), breast cancer, cervical cancer, glioma, high-grade serous ovarian carcinoma (HGSOC), osteosarcoma, etc. This article summarizes the abnormal expression pattern of miR-1908 in various diseases and its molecular regulation mechanisms. Our work will provide potential hints and direction for future miR-1908-related research. Show less
πŸ“„ PDF DOI: 10.3389/fonc.2022.857743
FADS1
Qiqi Wang, Qing Chen, Yixin Zhang +15 more Β· 2022 Β· Clinical and translational medicine Β· Wiley Β· added 2026-04-24
πŸ“„ PDF DOI: 10.1002/ctm2.737
HSD17B12
Fang Duan, Weiting Zeng, Yafang Zhang +2 more Β· 2022 Β· Heliyon Β· Elsevier Β· added 2026-04-24
During acute retinal necrosis (ARN), retinal pigment epithelial (RPE) cells could be stimulated by both ARPE-19 cells were infected by HSV-1F strain and HSVg4 strain, a modified HSV strain with GFP ge Show more
During acute retinal necrosis (ARN), retinal pigment epithelial (RPE) cells could be stimulated by both ARPE-19 cells were infected by HSV-1F strain and HSVg4 strain, a modified HSV strain with GFP genes cloned in, for 1 h. Different concentrations of LPS were added. Green fluorescence protein (GFP) of HSVg4 and the infected cell protein 4 (ICP4) expression were observed. Cell culture supernatants were collected to detect 34 kinds of related cytokines and chemokines by multiplex immunoassay assay. Under LPS treatment, the cytopathic effect displayed as enlarged multinucleated cells, and the GFP fluorescence intensity and ICP4 expression increased in the HSV-1-infected ARPE-19 cells. HSV-1 infection stimulated cytokines IL-1Ξ±, IL-1Ξ², IL-1RA, IL-2, IL-4, IL-6, IL-9, IL-12P70, IL-15, IL-18, IL-21, IL-27, TNF-Ξ±, IFN-Ξ³ and chemokines CXCL1, CXCL8, CXCL10, CXCL12, CCL2, CCL3, CCL4, CCL5, CCL11 while LPS further enhanced their expression. LPS promoted HSV-1 infection and inflammatory factor release in ARPE-19 cells, indicating that ARN could deteriorate when complicated with endotoxemia. Show less
πŸ“„ PDF DOI: 10.1016/j.heliyon.2022.e11787
IL27
Xinhui Ni, Yi Xu, Wang Wang +20 more Β· 2022 Β· Nature immunology Β· Nature Β· added 2026-04-24
Aberrant RNA splicing in keratinocytes drives inflammatory skin disorders. In the present study, we found that the RNA helicase DDX5 was downregulated in keratinocytes from the inflammatory skin lesio Show more
Aberrant RNA splicing in keratinocytes drives inflammatory skin disorders. In the present study, we found that the RNA helicase DDX5 was downregulated in keratinocytes from the inflammatory skin lesions in patients with atopic dermatitis and psoriasis, and that mice with keratinocyte-specific deletion of Ddx5 (Ddx5 Show less
πŸ“„ PDF DOI: 10.1038/s41590-022-01339-3
IL27
Huanle Gong, Shoubao Ma, Jia Chen +12 more Β· 2022 Β· Signal transduction and targeted therapy Β· Nature Β· added 2026-04-24
Interleukin 27 (IL-27), a heterodimeric cytokine composed of Epstein-Barr virus-induced 3 and p28, is a pleiotropic cytokine with both pro-and anti-inflammatory properties. However, the precise role o Show more
Interleukin 27 (IL-27), a heterodimeric cytokine composed of Epstein-Barr virus-induced 3 and p28, is a pleiotropic cytokine with both pro-and anti-inflammatory properties. However, the precise role of IL-27 in acute graft-versus-host disease is not yet fully understood. In this study, utilizing mice with IL-27 p28 deficiency in dendritic cells (DCs), we demonstrated that IL-27 p28 deficiency resulted in impaired Treg cell function and enhanced effector T cell responses, corresponding to aggravated aGVHD in mice. In addition, using single-cell RNA sequencing, we found that loss of IL-27 p28 impaired Treg cell generation and promoted IL-1R2 Show less
πŸ“„ PDF DOI: 10.1038/s41392-022-01147-z
IL27
Yutian Liu, Hemei Wang, Lifeng Wu +7 more Β· 2022 Β· Aquatic toxicology (Amsterdam, Netherlands) Β· Elsevier Β· added 2026-04-24
Nitrite is a ubiquitous toxic compound in aquatic ecosystems and has negative effects on aquatic organisms. The intestine and the trillions of microbes that inhabit it, play an integral role in mainta Show more
Nitrite is a ubiquitous toxic compound in aquatic ecosystems and has negative effects on aquatic organisms. The intestine and the trillions of microbes that inhabit it, play an integral role in maintaining digestive and immune functions. However, the effects of nitrite on intestinal health and microflora have been poorly investigated. Therefore, the present study evaluated the response of intestinal histology, immunity, digestive enzyme activities and microbiota to nitrite exposure in Bufo gargarizans tadpoles. The results showed that nitrite caused damage to the intestine and impaired digestive performance. Significant changes in the transcriptional profiles of genes involved in oxidative stress (sod, gpx and hsp), inflammation, and immunity (socs3, il-27, il-1Ξ² and il-17d) were observed in the NO Show less
no PDF DOI: 10.1016/j.aquatox.2022.106228
IL27
Lijie Wu, Jinku Li, Lili Ping +4 more Β· 2022 Β· Evidence-based complementary and alternative medicine : eCAM Β· added 2026-04-24
To explore the diagnosis value of inflammatory markers and cytokines in neonatal sepsis. In this retrospective analysis, 90 cases of neonatal sepsis admitted to our hospital from April 2019 to April 2 Show more
To explore the diagnosis value of inflammatory markers and cytokines in neonatal sepsis. In this retrospective analysis, 90 cases of neonatal sepsis admitted to our hospital from April 2019 to April 2021 were included in the observation group, and 70 healthy neonates who received routine physical examinations in our hospital during the same period were recruited as the control group. Comparison and analysis of inflammatory markers and cytokines levels between the two groups were performed on days 1, 3, and 7 after the onset. Flow cytometry was used to measure the white blood cells (WBCs) and percentage of neutrophils (N%), immunoturbidimetry was used to determine C-reactive protein (CRP), immunochromatographic analysis was used to determine procalcitonin (PCT) in plasma, and the enzyme-linked immunosorbent assay was used to determine interleukin-27 (IL-27), interleukin-6 (IL-6), interleukin-10 (IL-10), and tumor necrosis factor- Compared with healthy controls, neonatal sepsis resulted in significantly higher levels of WBC, N%, PCT, and CRP on days 1, 3, and 7 after onset. The levels of WBC, N%, and PCT were continuously decreased from day 1 to day 7, while the levels of CRP were increased on day 1 and day 3 but declined on day 7 ( Neonatal sepsis was associated with fluctuating levels of WBC, N%, PCT, CRP, IL-27, IL-6, IL-10, and TNF- Show less
πŸ“„ PDF DOI: 10.1155/2022/4143101
IL27