👤 Serina Huang

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1004
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Also published as: Ai-Chun Huang, Ai-long Huang, Aijie Huang, Ailong Huang, Aimin Huang, Alden Y Huang, An-Fang Huang, Annie Huang, Aohuan Huang, Ariane Huang, Baihai Huang, Baisong Huang, Bao-Hua Huang, Bao-Yi Huang, Baoqin Huang, Baoying Huang, Benjamin J Huang, Benlin Huang, Bevan E Huang, Bi Huang, Biao Huang, Bin Huang, Binfang Huang, Bing Huang, Bingcang Huang, Bingkun Huang, Bizhi Huang, Bo Huang, Bo-Shih Huang, Bor-Ren Huang, Bowen Huang, Boyue Huang, C Y Huang, Caihong Huang, Caiyun Huang, Can Huang, Canhua Huang, Caoxin Huang, Cathelin Huang, Catherine Huang, Chang Ming Huang, Chang X Huang, Chang-Jen Huang, Changjiang Huang, Chao Huang, Chao Wei Huang, Chao-Wei Huang, Chao-Yuan Huang, Chaolin Huang, Chaoqun Huang, Chaowang Huang, Chaoyang Huang, Chen Huang, Chen-Na Huang, Chen-Ping Huang, Cheng Huang, Chengcheng Huang, Chengrui Huang, Chenshen Huang, Chenxiao Huang, Chi-Cheng Huang, Chi-Shuan Huang, Chia-Chang Huang, Chia-Wei Huang, Chieh-Cheng Huang, Chieh-Liang Huang, Chien-Hsun Huang, Chih-Chun Huang, Chih-Hsiang Huang, Chih-Jen Huang, Chih-Ting Huang, Chih-Yang Huang, Chin-Chang Huang, Chin-Chou Huang, Ching-Shan Huang, Ching-Shin Huang, Ching-Tang Huang, Ching-Wei Huang, Chiu-Ju Huang, Chiu-Jung Huang, Chiun-Sheng Huang, Chong Huang, Chongbiao Huang, Christine S Huang, Chuan Huang, Chuanbing Huang, Chuanhong Huang, Chuanjiang Huang, Chuanjun Huang, Chuansheng Huang, Chuiguo Huang, Chun Huang, Chun-Mei Huang, Chun-Yao Huang, Chun-Yin Huang, Chunfan Huang, Chung-Hsiung Huang, Chunhong Huang, Chunjian Huang, Chunkai Huang, Chunlan Huang, Chunling Huang, Chunshuai Huang, Chunxia Huang, Chunyao Huang, Chunyi Huang, Chunying Huang, Chunyu Huang, Chuxin Huang, Chuying Huang, Congcong Huang, Cuiyu Huang, Da Huang, Dajun Huang, Dan Huang, Dane Huang, Danqing Huang, Dantong Huang, David Huang, David J Huang, De Huang, De-Jun Huang, Dejia Huang, Dengjun Huang, Dianhua Huang, Dishu Huang, Dong Huang, Donglan Huang, Dongmei Huang, Dongni Huang, Dongqin Huang, Dongqing Huang, Dongsheng Huang, Dongyu Huang, Du-Juan Huang, Emily C Huang, Enhao Huang, Enping Huang, Eric Huang, Erya Huang, F Huang, Fan Huang, Fang Huang, Fang-Ling Huang, Fangling Huang, Fei Huang, Fei Wan Huang, Feiruo Huang, Feiteng Huang, Feizhou Huang, Feng Huang, Fengxian Huang, Fengyu Huang, Franklin W Huang, Fu-Chen Huang, Fu-Mei Huang, Fubiao Huang, Fude Huang, Fuhao Huang, Furong Huang, G Huang, Gairong Huang, Gang Huang, Gao-Zhong Huang, Gaoxingyu Huang, Ge Huang, Guang-Jian Huang, Guang-Yun Huang, Guangjian Huang, Guangming Huang, Guangqian Huang, Guangrui Huang, Guanhong Huang, Guanling Huang, Guanning Huang, Guanqun Huang, Guanrong Huang, Guicheng Huang, Guodong Huang, Guohong Huang, Guoping Huang, Guoqian Huang, Guowei Huang, Guoxing Huang, Guoying Huang, Guoyong Huang, Guoyuan Huang, H Huang, H S Huang, Hai Huang, Haigang Huang, Haihong Huang, Hailin Huang, Haimiao Huang, Haixin Huang, Haiyan Huang, Han-Chang Huang, Hanxia Huang, Hao Huang, Hao-Fei Huang, Haobo Huang, Haochu Huang, Haomin Huang, Haoyu Huang, Haoyue Huang, Haozhang Huang, Haozhong Huang, He Huang, Hefeng Huang, Heguang Huang, Helen Huang, Heming Huang, Hengbin Huang, Heqing Huang, Hete Huang, Hong Huang, Hongbiao Huang, Hongcan Huang, Hongda Huang, Hongfei Huang, Hongfeng Huang, Honghui Huang, Hongou Huang, Hongqiang Huang, Hongyan Huang, Hongyang Huang, Hongyi Huang, Hongying Huang, Hongyu Huang, Hongyun Huang, Hsi-Yuan Huang, Hsien-Da Huang, Hsing-Yen Huang, Hsu Chih Huang, Hsuan-Cheng Huang, Hsuan-Ying Huang, Hu Huang, Hua Huang, Huafei Huang, Huaju Huang, Huan Huang, Huanhuan Huang, Huanliang Huang, Huapin Huang, Huashan Huang, Huayun Huang, Hui Huang, Hui-Huang Huang, Hui-Kuang Huang, Hui-Yu Huang, Huibin Huang, Huifen Huang, Huiling Huang, Huimin Huang, Huina Huang, Huiqiao Huang, Huixian Huang, Huixin Huang, Huiyan Huang, Huiyu Huang, Huizhe Huang, Huizhen Huang, Hy Huang, I-Chieh Huang, J V Huang, Janice J Huang, Jasmin Huang, Jeffrey K Huang, Jia Huang, Jia-Jia Huang, Jiaan Huang, Jiahui Huang, Jiajin Huang, Jiajun Huang, Jian Huang, Jian-Dong Huang, Jiana Huang, Jianbiao Huang, Jianbing Huang, Jianfang Huang, Jianfeng Huang, Jiangfeng Huang, Jiangtao Huang, Jiangwei Huang, Jianhua Huang, Jianlu Huang, Jianmin Huang, Jianming Huang, Jiansheng Huang, Jianzhen Huang, Jiao-Qian Huang, Jiaoti Huang, Jiaotian Huang, Jiaqi Huang, Jiawen Huang, Jiaxing Huang, Jiayu Huang, Jiayue Huang, Jie Huang, Jie Qi Huang, Jiechun Huang, Jieli Huang, Jieling Huang, Jieping Huang, Jin Huang, Jin-Di Huang, Jin-Feng Huang, Jin-Hong Huang, Jin-Yan Huang, Jinbao Huang, Jinfang Huang, Jing Huang, Jing-Fei Huang, Jingang Huang, Jinghan Huang, Jingjing Huang, Jingkun Huang, Jinglong Huang, Jingtao Huang, Jingxian Huang, Jingyong Huang, Jingyuan Huang, Jingyue Huang, Jinhua Huang, Jinling Huang, Jinlu Huang, Jinshu Huang, Jinxing Huang, Jinyan Huang, Jinzhou Huang, Jiuhong Huang, Jiyu Huang, Ju Huang, Juan Huang, Jucun Huang, Jun Huang, Jun-Hua Huang, Jun-You Huang, Junhao Huang, Junhua Huang, Junjie Huang, Junming Huang, Junning Huang, Junqi Huang, Junwen Huang, Junyuan Huang, Junyun Huang, Juxiang Huang, K Huang, K N Huang, Kai Huang, Kaipeng Huang, Kang Huang, Kangbo Huang, Kate Huang, Katherine Huang, Ke Huang, Ke-Ke Huang, Ke-Pu Huang, Kevin Huang, Kevin Y Huang, Kuan-Chun Huang, Kui-Yuan Huang, Kuiyuan Huang, Kun Huang, Kuo-Hsiang Huang, Kuo-Hung Huang, L Huang, L-B Huang, Laiqiang Huang, Lan Huang, Lanlan Huang, Lei Huang, Leijuan Huang, Li Huang, Li-Hao Huang, Li-Jiang Huang, Li-Juan Huang, Li-Jun Huang, Li-Ping Huang, Li-Rung Huang, Li-Wei Huang, Li-Yun Huang, Lian Huang, Liang Huang, Liang-Yu Huang, Liangchong Huang, Lianggui Huang, Libin Huang, Lige Huang, Lihua Huang, Lijia Huang, Lijiang Huang, Lijuan Huang, Lijun Huang, Lili Huang, Limin Huang, Liming Huang, Lin Huang, Linchen Huang, Ling Huang, Ling-Chun Huang, Ling-Jin Huang, Lingling Huang, Lining Huang, Linjing Huang, Linsheng Huang, Linxue Huang, Linyuan Huang, Liping Huang, Liqiong Huang, Lixia Huang, Lixiang Huang, Lixuan Huang, Lixue Huang, Lizhen Huang, Longfei Huang, Lu Huang, Lu-Jie Huang, Lu-Qi Huang, Luanluan Huang, Luqi Huang, Luyang Huang, Luyao Huang, Lvzhen Huang, M C Huang, Man Huang, Manning Y Huang, Manyun Huang, Mao-Mao Huang, Mei Huang, Meihua Huang, Meina Huang, Meixiang Huang, Melissa Y Huang, Meng-Chuan Huang, Meng-Fan Huang, Meng-Na Huang, MengQian Huang, Menghao Huang, Mengjie Huang, Mengjun Huang, Mengnan Huang, Mengting Huang, Mengzhen Huang, Mia L Huang, Miao Huang, Min Huang, Ming-Lu Huang, Ming-Shyan Huang, Mingjian Huang, Mingjun Huang, Minglei Huang, Mingrui Huang, Mingwei Huang, Mingxuan Huang, Mingyu Huang, Mingyuan Huang, Minjun Huang, Minqi Huang, Minxuan Huang, Minyuan Huang, N Huang, Na Huang, Nian Huang, Nianyuan Huang, Ning-Na Huang, Ning-Ping Huang, Ninghao Huang, Nongyu Huang, Pan Huang, Pang-Shuo Huang, Paul L Huang, Pei Huang, Pei-Chi Huang, Pei-Ying Huang, Peiying Huang, Peng Huang, Peng-Fei Huang, Pengyu Huang, Piao-Piao Huang, Piaopiao Huang, Pin-Rui Huang, Ping Huang, Pingping Huang, Pintong Huang, Po-Hsun Huang, Po-Jung Huang, Poyao Huang, Qi Huang, Qi-Tao Huang, Qian Huang, Qiang Huang, Qianqian Huang, Qiaobing Huang, Qibin Huang, Qidi Huang, Qin Huang, Qing Huang, Qing-yong Huang, Qingjiang Huang, Qingke Huang, Qingling Huang, Qingqing Huang, Qingsong Huang, Qingxia Huang, Qingxing Huang, Qingyu Huang, Qingzhi Huang, Qinlou Huang, Qiong Huang, Qiubo Huang, Qiumin Huang, Qiuming Huang, Qiuru Huang, Qiuyin Huang, Qiuyue Huang, Qizhen Huang, Quanfang Huang, Qun Huang, R H Huang, R Stephanie Huang, Rae-Chi Huang, Ran Huang, Renbin Huang, Renhua Huang, Renli Huang, Richard Huang, Richard S P Huang, Riqing Huang, Ritai Huang, Robert J Huang, Rong Huang, Rong Stephanie Huang, Ronghua Huang, Ronghui Huang, Rongjie Huang, Rongrong Huang, Rongxiang Huang, Ru-Ting Huang, Ruby Yun-Ju Huang, Rui Huang, Ruihua Huang, Ruijin Huang, Ruina Huang, Ruiyan Huang, Ruizhen Huang, Runyue Huang, Ruo-Hui Huang, S Huang, S Y Huang, S Z Huang, Saisai Huang, San-Yuan Huang, See-Chang Huang, Sen Huang, Shan Huang, Shang-Ming Huang, Shanhe Huang, Shanshan Huang, Shaojun Huang, Shaoxin Huang, Shaoze Huang, Shau Ku Huang, Shau-Ku Huang, Shenan Huang, Sheng-He Huang, Shengfeng Huang, Shengjie Huang, Shengnan Huang, Shengyan Huang, Shengyun Huang, Shi-Feng Huang, Shi-Shi Huang, Shi-Ying Huang, Shiang-Suo Huang, Shichao Huang, Shih-Chiang Huang, Shih-Wei Huang, Shih-Yi Huang, Shihao Huang, Shijing Huang, Shilu Huang, Shixia Huang, Shiya Huang, Shiying Huang, Shiyun Huang, Shoucheng Huang, Shu Huang, Shu-Pang Huang, Shu-Pin Huang, Shu-Qiong Huang, Shu-Wei Huang, Shu-Yi Huang, Shu-ying Huang, Shuai Huang, Shuang Huang, Shungen Huang, Shuo Huang, Shushu Huang, Shutong Huang, Shuwen Huang, Si-Yang Huang, Sidong Huang, Sihua Huang, Sijia Huang, Sinchun Huang, Sisi Huang, Sixiu Huang, Song Bin Huang, Song-Mei Huang, Songmei Huang, Songming Huang, Songqian Huang, Steven Huang, Steven Kuan-Hua Huang, Suli Huang, Sung-Ying Huang, Susan M Huang, Suwen Huang, Taiqi Huang, Tang-Hsiu Huang, Tao Huang, Te-Hsuan Huang, Tengda Huang, Tengfei Huang, Tian Hao Huang, Tianhao Huang, Tianpu Huang, Tiantian Huang, Tieqiu Huang, Tim H Huang, Ting Huang, Tinghua Huang, Tingping Huang, Tingqin Huang, Tingting Huang, Tingxuan Huang, Tingyun Huang, Tong Huang, Tongsheng Huang, Tongtong Huang, Tony T Huang, Tse-Shun Huang, Tseng-Yu Huang, Tsung-Wei Huang, Tzu-Rung Huang, Wan-Ping Huang, Way-Ren Huang, Wei Huang, Wei-Chi Huang, Weibin Huang, Weicheng Huang, Weifeng Huang, Weihua Huang, Weijun Huang, Weiqi Huang, Weisu Huang, Weiwei Huang, Weixue Huang, Weizhen Huang, Wen Huang, Wen-yu Huang, Wenbin Huang, Wenda Huang, Wenfang Huang, Wenfeng Huang, Wenhua Huang, Wenji Huang, Wenjie Huang, Wenjun Huang, Wenqiao Huang, Wenqing Huang, Wenqiong Huang, Wenshan Huang, Wentao Huang, Wenxin Huang, Wenya Huang, Wenying Huang, Wunan Huang, Wuqing Huang, X F Huang, X Huang, Xi Huang, Xian-sheng HUANG, Xiang Huang, Xianghua Huang, Xianglong Huang, Xiangming Huang, Xianping Huang, Xianqing Huang, Xiansheng Huang, Xianwei Huang, Xianxi Huang, Xianxian Huang, Xianying Huang, Xianzhang Huang, Xiao Huang, Xiao-Fang Huang, Xiao-Fei Huang, Xiao-Ming Huang, Xiao-Song Huang, Xiao-Yan Huang, Xiao-Yong Huang, Xiao-Yu Huang, XiaoFang Huang, Xiaochun Huang, Xiaofei Huang, Xiaofeng Huang, Xiaohong Huang, Xiaohua Huang, Xiaojie Huang, Xiaojing Huang, Xiaojuan Huang, Xiaolan Huang, Xiaoli Huang, Xiaolin Huang, Xiaoman Huang, Xiaomin Huang, Xiaoqing Huang, Xiaoshuai Huang, Xiaowen Huang, Xiaowu Huang, Xiaoxia Huang, Xiaoyan Huang, Xiaoying Huang, Xiaoyu Huang, Xiaoyuan Huang, Xiaoyun Huang, Xiaozhun Huang, Xiayang Huang, Xichang Huang, Xie-Lin Huang, Xin Huang, Xin-Di Huang, Xinen Huang, Xinfeng Huang, Xingguo Huang, Xingming Huang, Xingqin Huang, Xingru Huang, Xingxu Huang, Xingya Huang, Xingzhen Huang, Xinwen Huang, Xinyi Huang, Xinying Huang, Xinyue Huang, Xinzhu Huang, Xiongfeng Huang, Xionggao Huang, Xiuju Huang, Xiuyun Huang, Xiuzhen Huang, Xiwen Huang, Xu Huang, Xu-Feng Huang, Xuan Huang, Xuanzhang Huang, Xucong Huang, Xudong Huang, Xue-Ying Huang, Xue-shuang Huang, Xuehong Huang, Xuejie Huang, Xuejing Huang, Xuejun Huang, Xuemei Huang, Xueming Huang, Xueqi Huang, Xuewei Huang, Xuezhe Huang, Xuhui Huang, Xuliang Huang, Xun Huang, Xuxiong Huang, Y Huang, Y Joyce Huang, Y S Huang, Ya-Chih Huang, Ya-Dong Huang, Ya-Fang Huang, Ya-Ru Huang, Yabo Huang, Yadong Huang, Yafang Huang, Yajiao Huang, Yajuan Huang, Yali Huang, Yamei Huang, Yan Huang, Yan-Lin Huang, Yan-Qing Huang, Yan-Ting Huang, Yang Huang, Yang Zhong Huang, Yangqing Huang, Yangyang Huang, Yanhao Huang, Yani Huang, Yanjun Huang, Yanlong Huang, Yanna Huang, Yanping Huang, Yanqin Huang, Yanqing Huang, Yanqun Huang, Yanru Huang, Yanshan Huang, Yansheng Huang, Yanxia Huang, Yanyan Huang, Yanyao Huang, Yao Huang, Yao-Kuang Huang, Yaowei Huang, Yatian Huang, Yating Huang, Ye Huang, Yechao Huang, Yen-Chu Huang, Yen-Ning Huang, Yen-Tsung Huang, Yeqing Huang, Yewei Huang, Yi Huang, Yi-Chun Huang, Yi-Jan Huang, Yi-Jia Huang, Yi-Wen Huang, Yi-ping Huang, Yichao Huang, Yichuan Huang, Yicong Huang, Yifan Huang, Yihao Huang, Yiheng Huang, Yihong Huang, Yikeng Huang, Yilin Huang, Yin Huang, Yin-Tsen Huang, Ying Huang, Ying-Hsuan Huang, Ying-Jung Huang, Ying-Zhi Huang, Yinghua Huang, Yingying Huang, Yingzhen Huang, Yingzhi Huang, Yiping Huang, Yiquan Huang, Yishan Huang, Yiwei Huang, Yixian Huang, Yizhou Huang, Yong Huang, Yong-Fu Huang, Yongbiao Huang, Yongcan Huang, Yongjie Huang, Yongqi Huang, Yongsheng Huang, Yongtong Huang, Yongye Huang, Yongyi Huang, Yongzhen Huang, Youheng Huang, Youyang Huang, Yu Huang, Yu-Ching Huang, Yu-Chu Huang, Yu-Chuen Huang, Yu-Chyi Huang, Yu-Fang Huang, Yu-Han Huang, Yu-Jie Huang, Yu-Lei Huang, Yu-Ren Huang, Yu-Shu Huang, Yu-Ting Huang, Yuan Huang, Yuan-Lan Huang, Yuan-Li Huang, Yuan-Lu Huang, Yuancheng Huang, Yuanpeng Huang, Yuanshuai Huang, Yuanyu Huang, Yuanyuan Huang, Yue Huang, Yue-Hua Huang, Yuedi Huang, Yueh-Hsiang Huang, Yuehong Huang, Yuejun Huang, Yueye Huang, Yuezhen Huang, Yufang Huang, Yufen Huang, Yuguang Huang, Yuh-Chin T Huang, Yuhong Huang, Yuhua Huang, Yuhui Huang, Yujia Huang, Yujie Huang, Yulin Huang, Yumei Huang, Yumeng Huang, Yun Huang, Yun-Juan Huang, Yunchao Huang, Yung-Hsin Huang, Yung-Yu Huang, Yunmao Huang, Yunpeng Huang, Yunru Huang, Yunyan Huang, Yuping Huang, Yuqi Huang, Yuqiang Huang, Yuqiong Huang, Yusi Huang, Yutang Huang, Yuting Huang, Yutong Huang, Yuxian Huang, Yuxin Huang, Yuxuan Huang, Yuyang Huang, Yuying Huang, Z Huang, Z Z Huang, Z-Y Huang, Zebin Huang, Zebo Huang, Zehua Huang, Zeling Huang, Zengwen Huang, Zhang Huang, Zhao Huang, Zhaoxia Huang, Zhe Huang, Zhen Huang, Zhenfei Huang, Zheng Huang, Zheng-Xiang Huang, Zhengwei Huang, Zhengxian Huang, Zhengxiang Huang, Zhengyang Huang, Zhenlin Huang, Zhenrui Huang, Zhenyao Huang, Zhenyi Huang, Zhi Huang, Zhi-Ming Huang, Zhi-Qiang Huang, Zhi-Xin Huang, Zhi-xiang Huang, Zhican Huang, Zhicong Huang, Zhifang Huang, Zhifeng Huang, Zhigang Huang, Zhihong Huang, Zhilin Huang, Zhilong Huang, Zhipeng Huang, Zhiping Huang, Zhiqi Huang, Zhiqiang Huang, Zhiqin Huang, Zhiqing Huang, Zhitong Huang, Zhiwei Huang, Zhixiang Huang, Zhiying Huang, Zhiyong Huang, Zhiyu Huang, Zhongbin Huang, Zhongcheng Huang, Zhongfeng Huang, Zhonglu Huang, Zhouyang Huang, Zi-Xin Huang, Zi-Ye Huang, Zicheng Huang, Zichong Huang, Zihan Huang, Zihao Huang, Ziheng Huang, Ziling Huang, Zini Huang, Zirui Huang, Zizhan Huang, Zongjian Huang, Zongliang Huang, Zunnan Huang, Zuotian Huang, Zuxian Huang, Zuyi Huang
articles
Weijian Zhang, Zhigang Huang, Mingyuan Huang +1 more · 2020 · Mediators of inflammation · added 2026-04-24
Enterovirus 71 (EV71) is one of the most common intestinal virus that causes hand, foot, and mouth disease (HFMD) in infants and young children (mostly ≤5 years of age). Generally, children with EV71- Show more
Enterovirus 71 (EV71) is one of the most common intestinal virus that causes hand, foot, and mouth disease (HFMD) in infants and young children (mostly ≤5 years of age). Generally, children with EV71-infected HFMD have mild symptoms that resolve spontaneously within 7-14 days without complications. However, some EV71-infected HFMD cases lead to severe complications such as aseptic meningitis, encephalitis, acute flaccid paralysis, pulmonary edema, cardiorespiratory complication, circulatory disorders, poliomyelitis-like paralysis, myocarditis, meningoencephalitis, neonatal sepsis, and even death. The mechanism of EV71 pathogenesis has been studied extensively, and the regulation of host immune responses is suspected to aggravate EV71-induced severe complications. Recently, several cytokines or chemokines such as TNF- Show less
📄 PDF DOI: 10.1155/2020/9273241
IL27
Si-Xing Li, Xin-Jie Chen, Lu Jiang +10 more · 2020 · Genes, chromosomes & cancer · Wiley · added 2026-04-24
Chromosomal translocations and generating fusion genes are closely associated with disease initiation and progression in acute myeloid leukemia (AML). In this study, we identified a novel t(X;17)(q28; Show more
Chromosomal translocations and generating fusion genes are closely associated with disease initiation and progression in acute myeloid leukemia (AML). In this study, we identified a novel t(X;17)(q28;q21) chromosomal rearrangement in a patient with acute monocytic leukemia. Using RNA-sequencing, we identified a KANSL1-MTCP1 and a KANSL1-CMC4 fusion gene. 5'-UTR sequences of the KANSL1 gene were found to become fused upstream of the coding sequence region of the MTCP1 and CMC4 genes, respectively, resulting in an aberrantly high expression of these genes. Functional studies revealed that overexpression of the MTCP1 gene induced an increased cell proliferation and partial blockage of cell differentiation, suggesting that the aberrant expression of MTCP1 is of critical importance in leukemogenesis. Show less
no PDF DOI: 10.1002/gcc.22840
KANSL1
Yan-Qing Huang, Zheng-Rong Peng, Fang-Ling Huang +1 more · 2020 · Neural regeneration research · added 2026-04-24
Many hypotheses exist regarding the mechanism underlying delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), including the inflammation and immune-mediated damage hypothesis and the Show more
Many hypotheses exist regarding the mechanism underlying delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), including the inflammation and immune-mediated damage hypothesis and the cellular apoptosis and direct neuronal toxicity hypothesis; however, no existing hypothesis provides a satisfactory explanation for the complex clinical processes observed in DEACMP. Leucine-rich repeat and immunoglobulin-like domain-containing protein-1 (LINGO-1) activates the Ras homolog gene family member A (RhoA)/Rho-associated coiled-coil containing protein kinase 2 (ROCK2) signaling pathway, which negatively regulates oligodendrocyte myelination, axonal growth, and neuronal survival, causing myelin damage and participating in the pathophysiological processes associated with many central nervous system diseases. However, whether LINGO-1 is involved in DEACMP remains unclear. A DEACMP model was established in rats by allowing them to inhale 1000 ppm carbon monoxide gas for 40 minutes, followed by 3000 ppm carbon monoxide gas for an additional 20 minutes. The results showed that compared with control rats, DEACMP rats showed significantly increased water maze latency and increased protein and mRNA expression levels of LINGO-1, RhoA, and ROCK2 in the brain. Compared with normal rats, significant increases in injured neurons in the hippocampus and myelin sheath damage in the lateral geniculate body were observed in DEACMP rats. From days 1 to 21 after DEACMP, the intraperitoneal injection of retinoic acid (10 mg/kg), which can inhibit LINGO-1 expression, was able to improve the above changes observed in the DEACMP model. Therefore, the overexpression of LINGO-1 appeared to increase following carbon monoxide poisoning, activating the RhoA/ROCK2 signaling pathway, which may be an important pathophysiological mechanism underlying DEACMP. This study was reviewed and approved by the Medical Ethics Committee of Xiangya Hospital of Central South Hospital (approval No. 201612684) on December 26, 2016. Show less
📄 PDF DOI: 10.4103/1673-5374.284995
LINGO1
Chunmao Yang, Jing Tang, Xin Liang +8 more · 2020 · Behavioural brain research · Elsevier · added 2026-04-24
Chronic exposure to stressful conditions may affect spatial learning and memory abilities and the brain structure, and disruptions in oligodendrocyte function may cause cognitive dysfunction. Leucine- Show more
Chronic exposure to stressful conditions may affect spatial learning and memory abilities and the brain structure, and disruptions in oligodendrocyte function may cause cognitive dysfunction. Leucine-rich repeat and immunoglobulin-like domain-containing protein 1 (LINGO-1) is a potent negative regulator of oligodendrocytes and axon myelination. However, the questions we sought to answer in this study are whether hippocampal oligodendrocytes are involved in the pathological process of spatial learning and memory impairments induced by chronic stress (CS) and whether antibodies targeting LINGO-1 improve stress-induced spatial learning and memory impairments by protecting the hippocampal oligodendrocytes in stressed rats. After 4 weeks of CS, rats were randomly divided into either the CS standard group or anti-LINGO-1 group. The anti-LINGO-1 group was treated with an anti-LINGO-1 antibody (8 mg/kg) for 3 weeks; all rats were assessed in the Morris water maze. Immunohistochemical staining and modern stereological methods were used to precisely quantify the total number of 2',3'-cyclic nucleotide 3'-phosphodiesterase-positive (CNPase Show less
no PDF DOI: 10.1016/j.bbr.2020.112765
LINGO1
Ting Sun, Guang-Yun Huang, Zi-Hao Wang +7 more · 2020 · BMC genomics · BioMed Central · added 2026-04-24
Fuzhong buffalo, a native breed of Guangxi Zhuang Autonomous Region, is traditionally used as a draft animal to provide farm power in the rice cultivation. In addition, the Fuzhong buffalo also prepar Show more
Fuzhong buffalo, a native breed of Guangxi Zhuang Autonomous Region, is traditionally used as a draft animal to provide farm power in the rice cultivation. In addition, the Fuzhong buffalo also prepared for the bullfighting festival organized by the locals. The detection of the selective signatures in its genome can help in elucidating the selection mechanisms in its stamina and muscle development of a draft animal. In this study, we analyzed 27 whole genomes of buffalo (including 15 Fuzhong buffalo genomes and 12 published buffalo genomes from Upper Yangtze region). The ZHp, ZFst, π-Ratio, and XP-EHH statistics were used to identify the candidate signatures of positive selection in Fuzhong buffalo. Our results detected a set of candidate genes involving in the pathways and GO terms associated with the response to exercise (e.g., ALDOA, STAT3, AKT2, EIF4E2, CACNA2D2, TCF4, CDH2), immunity (e.g., PTPN22, NKX2-3, PIK3R1, ITK, TMEM173), nervous system (e.g., PTPN21, ROBO1, HOMER1, MAGI2, SLC1A3, NRG3, SNAP47, CTNNA2, ADGRL3). In addition, we also identified several genes related to production and growth traits (e.g., PHLPP1, PRKN, MACF1, UCN3, RALGAPA1, PHKB, PKD1L). Our results depicted several pathways, GO terms, and candidate genes to be associated with response to exercise, immunity, nervous system, and growth traits. The selective sweep analysis of the Fuzhong buffalo demonstrated positive selection pressure on potential target genes involved in behavior, immunity, and growth traits, etc. Our findings provided a valuable resource for future research on buffalo breeding and an insight into the mechanisms of artificial selection. Show less
📄 PDF DOI: 10.1186/s12864-020-07095-8
MACF1
Ying Huang, Xiangping Liao, Jianghong Luo +3 more · 2020 · Neuroscience letters · Elsevier · added 2026-04-24
Circular RNAs (circRNAs) are a class of endogenous noncoding RNA molecules that lack free 5' and a 3' end poly(A) tail. CircRNAs are enriched in neural tissues, and have been found to be associated wi Show more
Circular RNAs (circRNAs) are a class of endogenous noncoding RNA molecules that lack free 5' and a 3' end poly(A) tail. CircRNAs are enriched in neural tissues, and have been found to be associated with various diseases of the central nervous system. This study aimed to examine key circRNAs involved in vascular dementia(VD) model rats. Total RNA-seq profiles of hippocampus samples from normal and vascular dementia rats were extracted and high throughput sequencing was performed. Quantitative real-time polymerase chain reaction (qPCR) was used to confirm the circRNA expression profiles. Differential expression of circRNA has been used for analysis via the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. The circRNA-miRNA-mRNA network was then constructed. The data of high-throughput sequencing showed that there were 425 circRNAs differentially expressed between VD and normal rats (fold change (FC)≥2.0 and p-value< 0.05). In the VD group, a total of 237 were significantly upwardly revised, while the other 188 were downwardly revised. Eleven of these expressed more than 10 times in the VD model rats. The Expression levels of 10 circRNAs (circ_Map2k5, circ_Ulk2, circ_Plekha5, circ_Plcl1, circ_Sntg1, circ_Morc3, circ_Rims1, circ_ Stxbp5l, circ_ Agtpbp1, circ_Lrrc28) were verified by qPCR, which were persistent with RNA-seq data(P < 0.05). GO analysis indicated that majority of predicted target genes were involved in biological processes, such as cellular processes, nervous system development, etc. Cellular component, such as cellular parts, intracellular parts, cytoplasm and molecular function, such as binding, catalytic activity, etc. Moreover, KEGG analysis showed that many genes were enriched in cholinergic synapses, the MAPK signaling pathways, GABAergic synapses, metabolic pathways, the mTOR signaling pathways, and so on. Our results suggest the involvement of different ncRNA expression patterns in the pathogenesis (are associated with the pathogenesis of VD. Our findings provide a novel perspective for further research into potential mechanisms of VD and might facilitate the development of novel therapeutics targeting ncRNAs. Show less
no PDF DOI: 10.1016/j.neulet.2020.135087
MAP2K5
Peng Yang, Zijing Zhang, Jiawei Xu +13 more · 2020 · Animals : an open access journal from MDPI · MDPI · added 2026-04-24
Copy number variation is a part of genomic structural variation and has caused widespread concern. According to the results of high-throughput screening of the
📄 PDF DOI: 10.3390/ani10020250
MLLT10
Zhi-Ping Shu, Gui-Wen Yi, Shan Deng +2 more · 2020 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Hippo pathway plays a crucial role as a regulator of organ size and tumorigenesis that negatively regulates cell growth and survival. Recently lots of evidences show that Hippo pathway plays a crucial Show more
Hippo pathway plays a crucial role as a regulator of organ size and tumorigenesis that negatively regulates cell growth and survival. Recently lots of evidences show that Hippo pathway plays a crucial role in glucose metabolic metabolism to regulate energy status with cell growth. However, the detailed mechanism is still unclear. Here we report that Yes-associated protein (YAP), the terminal effector of Hippo pathway, interacts with carbohydrate response element binding protein (ChREBP) in the nucleus of the hepatocytes thereby promoting glycolysis and lipogenesis. A high carbohydrate (HCHO) diet could inactivate the Hippo pathway and encourage the combination of YAP and ChREBP, leading to glucose-induced hepatocyte glycolysis and lipogenesis through up-regulation of target genes such as L-PK and ACC in mice. Conversely, inhibition of YAP activity by phosphorylation or downregulation antagonized glycolysis and lipogenesis in mice fed with HCHO diet. These results suggest that YAP is a nuclear co-factor of ChREBP and that the Hippo pathway negatively affects hepatocyte glycolysis by inhibiting the function of YAP-ChREBP. Show less
no PDF DOI: 10.1016/j.bbrc.2020.06.105
MLXIPL
Jinyuan Si, Bo Huang, Guiping Lan +8 more · 2020 · Translational cancer research · added 2026-04-24
Nasopharyngeal carcinoma (NPC) is one of the most common cancers. To investigate the gene mutation profile of NPC patients, we performed whole exome sequencing (WES) in tumor cells, peripheral blood c Show more
Nasopharyngeal carcinoma (NPC) is one of the most common cancers. To investigate the gene mutation profile of NPC patients, we performed whole exome sequencing (WES) in tumor cells, peripheral blood cells, and circulating tumor cells (CTCs) of primitive and metastatic NPC patients, and explored its clinical significance. Primitive tumor cells, white blood cells, and CTCs of patients were collected and hybridized with probes targeting whole exons. Mutational signatures, signaling pathways, and cancer associated genes from CTCs cells of two primitive and two metastatic patients were analyzed using gene ontology (GO) method. The mutational landscape of four primitive tumors showed that there were more These changes are strongly relevant to their clinical characteristics and therapeutic strategy. Show less
📄 PDF DOI: 10.21037/tcr-19-2899
MLXIPL
Hao Wang, Youde Cao, Liqing Shu +13 more · 2020 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Liver plays an essential role in regulating lipid metabolism, and chronically disturbed hepatic metabolism may cause obesity and metabolic syndrome, which may lead to non-alcoholic fatty liver disease Show more
Liver plays an essential role in regulating lipid metabolism, and chronically disturbed hepatic metabolism may cause obesity and metabolic syndrome, which may lead to non-alcoholic fatty liver disease (NAFLD). Increasing evidence indicates long non-coding RNAs (lncRNAs) play an important role in energy metabolism. Here, we investigated the role of lncRNA H19 in hepatic lipid metabolism and its potential association with NAFLD. We found that H19 was up-regulated in oleic acid-induced steatosis and during the development of high-fat diet (HFD)-induced NAFLD. Exogenous overexpression of H19 in hepatocytes induced lipid accumulation and up-regulated the expression of numerous genes involved in lipid synthesis, storage and breakdown, while silencing endogenous H19 led to a decreased lipid accumulation in hepatocytes. Mechanistically, H19 was shown to promote hepatic steatosis by up-regulating lipogenic transcription factor MLXIPL. Silencing Mlxipl diminished H19-induced lipid accumulation in hepatocytes. Furthermore, H19-induced lipid accumulation was effectively inhibited by PI3K/mTOR inhibitor PF-04691502. Accordingly, H19 overexpression in hepatocytes up-regulated most components of the mTORC1 signalling axis, which were inhibited by silencing endogenous H19. In vivo hepatocyte implantation studies further confirm that H19 promoted hepatic steatosis by up-regulating both mTORC1 signalling axis and MLXIPL transcriptional network. Collectively, these findings strongly suggest that H19 may play an important role in regulating hepatic lipid metabolism and may serve as a potential therapeutic target for NAFLD. Show less
📄 PDF DOI: 10.1111/jcmm.14818
MLXIPL
Pang-Shuo Huang, Chia-Shan Hsieh, Sheng-Nan Chang +6 more · 2020 · Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · Oxford University Press · added 2026-04-24
Recently, the spectrum of background mutation in the genes implicated in sudden arrhythmic death syndrome (SADS), has been elucidated in the Caucasian populations. However, this information is largely Show more
Recently, the spectrum of background mutation in the genes implicated in sudden arrhythmic death syndrome (SADS), has been elucidated in the Caucasian populations. However, this information is largely unknown in the Asian populations. We assessed the background rare variants (minor allele frequency < 0.01) of major SADS genes in whole genome sequence data of 1514 healthy Taiwanese subjects from the Taiwan Biobank. We found up to 45% of healthy subjects have a rare variant in at least one of the major SADS genes. Around 3.44% of healthy subjects had multiple mutations in one or multiple genes. The background mutation rates in long QT syndrome, catecholaminergic polymorphic ventricular tachycardia, and arrhythmogenic right ventricular cardiomyopathy genes were similar, but those in Brugada syndrome (BrS) (SCN5A) and hypertrophic cardiomyopathy (HCM) genes (MYBPC3, MYH7, and TNNT2) were higher, compared to those reported in the Caucasian populations. Furthermore, the rate of incidental pathogenic variant was highest in MYBPC3 gene. Finally, the number of variant was proportional to the exon length of the gene (R2 = 0.486, P = 0.0056) but not related to its functional or evolutionary importance (degree of evolutionary conservation) (R2 = 0.0008, P = 0.9218), suggesting that the mutation was random. The ratio of variant number over exon nucleotide length was highest in MYBPC3, MYH7, and TNNT2 genes. Unique features of background SADS gene mutation in the Asian populations include higher prevalence of incidental variant in HCM, BrS, and long QT 3 (SCN5A) genes. HCM genes have the highest variant number per exon length. Show less
no PDF DOI: 10.1093/europace/euaa092
MYBPC3
Landry Nfonsam, Lijia Huang, Nancy Carson +14 more · 2020 · Molecular genetics & genomic medicine · Wiley · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy (LVH) in the absence of predisposing cardiovascular conditions. Pathogenic variants in at least 16 cardiac sarcomeric Show more
Hypertrophic cardiomyopathy (HCM) is characterized by left ventricular hypertrophy (LVH) in the absence of predisposing cardiovascular conditions. Pathogenic variants in at least 16 cardiac sarcomeric genes have been implicated in HCM, most of which act in a dominant-negative fashion. However loss-of-function (haploinsufficiency) is the most common disease mechanism for pathogenic variants in MYBPC3, suggesting that MYBPC3 complete deletion may play a role in HCM pathogenesis. Here, we investigate MYBPC3 complete deletion as a disease mechanism in HCM by analyzing two unrelated patients with confirmed diagnosis of HCM that tested negative by Sanger sequencing analysis. MYBPC3 complete deletion was investigated by Multiplex ligation-dependent probe amplification (MLPA) and microarray analyses. The mechanism of deletion was investigated by interrogating the SINEBase database. Patient-1 was diagnosed with nonobstructive HCM in his mid-40s while undergoing assessment for palpitations, and patient-2 with obstructive HCM in his late-20s while undergoing systolic heart murmur assessment for an unrelated illness. MLPA testing revealed a heterozygous deletion of all MYBPC3 exons in both patients. Subsequent microarray testing confirmed these deletions which extended beyond the 5' and 3' ends of MYBPC3. Genomic assessment suggested that these deletions resulted from Alu/Alu-homologous recombination. Our results demonstrate that haploinsufficiency resulting from MYBPC3 complete deletion, potentially mediated by Alu recombination, is an important disease mechanism in cardiomyopathy and emphasizes the importance of copy number variation analysis in patients clinically suspected of HCM. Show less
no PDF DOI: 10.1002/mgg3.951
MYBPC3
Yong Huang, Ke Ning, Wen-Wen Li +4 more · 2020 · American journal of physiology. Cell physiology · added 2026-04-24
Endogenous hydrogen sulfide (H
no PDF DOI: 10.1152/ajpcell.00244.2019
NR1H3
Yongjun Yin, Silu Zeng, Yanwei Li +3 more · 2020 · Biochemical and biophysical research communications · Elsevier · added 2026-04-24
Liver X receptor alpha (Lxrα) is a sterol-regulated transcription factor that limits atherogenesis by regulating cholesterol homeostasis and inflammation in macrophages. Transcriptional profiling iden Show more
Liver X receptor alpha (Lxrα) is a sterol-regulated transcription factor that limits atherogenesis by regulating cholesterol homeostasis and inflammation in macrophages. Transcriptional profiling identified the reverse cholesterol transport protein Arf-like 7 (Arl7, Arl4c) as a Lxrα target gene. We hypothesized that the LXR response element (LXRE) sequence on the murine macrophage Arl7 promoter may play a critical role in Lxrα's atherosuppressive effects. Employing low density lipoprotein receptor-deficient mice with macrophage-specific Lxrα overexpression (Ldlr Ldlr Lxrα's anti-atherosclerotic effects in Ldlr Show less
no PDF DOI: 10.1016/j.bbrc.2020.06.071
NR1H3
Yueyuan Xiao, Haizhen Wang, Chang Wang +7 more · 2020 · Cell cycle (Georgetown, Tex.) · Taylor & Francis · added 2026-04-24
Psoriasis is an immune-mediated chronic inflammatory skin disease. Keratinocyte hyperproliferation has been regarded as a significant event in psoriasis pathogenesis. Considering the vital role of miR Show more
Psoriasis is an immune-mediated chronic inflammatory skin disease. Keratinocyte hyperproliferation has been regarded as a significant event in psoriasis pathogenesis. Considering the vital role of miRNA-mediated mRNA repression in psoriasis pathogenesis, in the present study, we attempted to investigate the mechanism of keratinocyte overproliferation from the point of miRNA-mRNA regulation. Both online microarray expression profiles and experimental results indicated that the expression of LXR-α and PPAR-γ was downregulated in psoriasis lesion skin. LXR-α or PPAR-γ overexpression alone was sufficient to inhibit keratinocyte proliferation, decrease KRT5 and KRT14 protein levels and increase KRT1 and KRT10 protein levels. miR-203 negatively regulated LXR-α and PPAR-γ expression through direct targeting. miR-203 inhibition exerted the opposite effects to LXR-α or PPAR-γ overexpression on HaCaT cells. More importantly, LXR-α or PPAR-γ overexpression could markedly remarkably attenuate the effects of miR-203 overexpression in keratinocytes, indicating that miR-203 promotes keratinocyte proliferation by targeting LXR-α and PPAR-γ. In conclusion, the miR-203-LXR-α/PPAR-γ axis modulates the proliferation of keratinocytes and might be a novel target for psoriasis treatment, which needs further in vivo investigation. Show less
no PDF DOI: 10.1080/15384101.2020.1783934
NR1H3
Feizhou Huang, Huaizheng Liu, Zhao Lei +5 more · 2020 · Journal of cellular physiology · Wiley · added 2026-04-24
Nonalcoholic fatty liver disease (NAFLD) is regarded as a threat to public health; however, the pathologic mechanism of NAFLD is not fully understood. We attempted to identify abnormally expressed lon Show more
Nonalcoholic fatty liver disease (NAFLD) is regarded as a threat to public health; however, the pathologic mechanism of NAFLD is not fully understood. We attempted to identify abnormally expressed long noncoding RNA (lncRNAs) and messenger RNA that may affect the occurrence and development of NAFLD in this study. The expression of differentially expressed lncRNAs in NAFLD was determined in oleic acid (OA)-treated L02 cells, and the functions of CCAT1 in lipid droplet formation were evaluated in vitro. Differentially expressed genes (DEGs) were analyzed by microarray analysis, and DEGs related to CCTA1 were selected and verified by weighted correlation network analysis. The dynamic effects of LXRα and CCTA1 on lipid droplet formation and predicted binding was examined. The binding between miR-631 and CCAT1 and LXRα was verified. The dynamic effects of miR-613 inhibition and CCTA1 silencing on lipid droplet formation were examined. The expression and correlations of miR-631, CCAT1, and LXRα were determined in tissue samples. As the results show, CCAT1 was induced by OA and upregulated in NAFLD clinical samples. CCAT1 silencing significantly suppressed lipid droplet accumulation in vitro. LXRα was positively correlated with CCAT1. By inhibiting miR-613, CCAT1 increased the transcription of LXRα and promoted LXRα expression. The expression of LXRα was significantly increased in NAFLD tissues and was positively correlated with CCAT1. In conclusion, CCAT1 increases LXRα transcription by serving as a competing endogenous RNA for miR-613 in an LXRE-dependent manner, thereby promoting lipid droplet formation and NAFLD. CCAT1 and LXRα might be potent targets for NAFLD treatment. Show less
no PDF DOI: 10.1002/jcp.29795
NR1H3

NAD

Xiaojing Wei, Ru Jia, Zhao Yang +4 more · 2020 · FEBS letters · Wiley · added 2026-04-24
The nicotinamide adenine dinucleotide (NAD
no PDF DOI: 10.1002/1873-3468.13779
NR1H3
Cefan Zhou, Xuehong Qian, Miao Hu +12 more · 2020 · Autophagy · Taylor & Francis · added 2026-04-24
Macroautophagy/autophagy plays key roles in development, oncogenesis, and cardiovascular and metabolic diseases. Autophagy-specific class III phosphatidylinositol 3-kinase complex I (PtdIns3K-C1) is e Show more
Macroautophagy/autophagy plays key roles in development, oncogenesis, and cardiovascular and metabolic diseases. Autophagy-specific class III phosphatidylinositol 3-kinase complex I (PtdIns3K-C1) is essential for autophagosome formation. However, the regulation of this complex formation requires further investigation. Here, we discovered that STYK1 (serine/threonine/tyrosine kinase 1), a member of the receptor tyrosine kinases (RTKs) family, is a new upstream regulator of autophagy. We discovered that STYK1 facilitated autophagosome formation in human cells and zebrafish, which was characterized by elevated LC3-II and lowered SQSTM1/p62 levels and increased puncta formation by several marker proteins, such as ATG14, WIPI1, and ZFYVE1. Moreover, we observed that STYK1 directly binds to the PtdIns3K-C1 complex as a homodimer. The binding with this complex was promoted by Tyr191 phosphorylation, by means of which the kinase activity of STYK1 was elevated. We also demonstrated that STYK1 elevated the serine phosphorylation of BECN1, thereby decreasing the interaction between BECN1 and BCL2. Furthermore, we found that STYK1 preferentially facilitated the assembly of the PtdIns3K-C1 complex and was required for PtdIns3K-C1 complex kinase activity. Taken together, our findings provide new insights into autophagy induction and reveal evidence of novel crosstalk between the components of RTK signaling and autophagy. Show less
no PDF DOI: 10.1080/15548627.2019.1687212
PIK3C3
Xiao-Wei Zhang, Ji-Chao Zhou, Dian Peng +14 more · 2020 · Autophagy · Taylor & Francis · added 2026-04-24
Impaired macroautophagy/autophagy is involved in the pathogenesis of hepatic fibrosis. However, how aberrant autophagy promotes fibrosis is far from understood. Here, we aimed to define a previously u Show more
Impaired macroautophagy/autophagy is involved in the pathogenesis of hepatic fibrosis. However, how aberrant autophagy promotes fibrosis is far from understood. Here, we aimed to define a previously unrevealed pro-fibrotic mechanism for the stress protein TRIB3 (tribbles pseudokinase 3)-mediated autophagy dysfunction. Human fibrotic liver tissues were obtained from patients with cirrhosis who underwent an open surgical repair process. The functional implications of TRIB3 were evaluated in mouse models of hepatic fibrosis induced by bile duct ligation (BDL) or thioacetamide (TAA) injection. Human fibrotic liver tissues expressed higher levels of TRIB3 and selective autophagic receptor SQSTM1/p62 (sequestosome 1) than nonfibrotic tissues and the elevated expression of TRIB3 and SQSTM1 was positively correlated in the fibrotic tissues. Silencing Show less
no PDF DOI: 10.1080/15548627.2019.1635383
PIK3C3
Jingwen Jiang, Lu Zhang, Haining Chen +18 more · 2020 · Autophagy · Taylor & Francis · added 2026-04-24
GBM (glioblastoma multiforme) is the most common and aggressive brain tumor with no curative options available. Therefore, it is imperative to develop novel potent therapeutic drugs for GBM treatment. Show more
GBM (glioblastoma multiforme) is the most common and aggressive brain tumor with no curative options available. Therefore, it is imperative to develop novel potent therapeutic drugs for GBM treatment. Here, we show that regorafenib, an oral multi-kinase inhibitor, exhibits superior therapeutic efficacy over temozolomide, the first-line chemotherapeutic agent for GBM treatment both Show less
no PDF DOI: 10.1080/15548627.2019.1598752
PIK3C3
Jialin Dai, Chonghe Zhang, Lin Guo +9 more · 2020 · Cell death & disease · Nature · added 2026-04-24
Mixed-lineage kinase domain-like protein (MLKL) is known as the terminal executor of necroptosis. However, its function outside of necroptosis is still not clear. Herein, we demonstrate that MLKL prom Show more
Mixed-lineage kinase domain-like protein (MLKL) is known as the terminal executor of necroptosis. However, its function outside of necroptosis is still not clear. Herein, we demonstrate that MLKL promotes vascular inflammation by regulating the expression of adhesion molecules ICAM1, VCAM1, and E-selectin in endothelial cells (EC). MLKL deficiency suppresses the expression of these adhesion molecules, thereby reducing EC-leukocyte interaction in vitro and in vivo. Mechanistically, we show that MLKL interacts with RBM6 to promote the mRNA stability of adhesion molecules. In conclusion, this study identified a novel role of MLKL in regulating endothelial adhesion molecule expression and local EC-leukocyte interaction during acute inflammation. Show less
no PDF DOI: 10.1038/s41419-020-2483-3
RBM6
Sihao Ye, Qian Chen, Nan Jiang +7 more · 2020 · Investigative ophthalmology & visual science · added 2026-04-24
Pathological neovascularization and fibrosis are common pathological changes of many retinal diseases, such as proliferative retinopathy (PR) and age-related macular degeneration (AMD). Treatment moda Show more
Pathological neovascularization and fibrosis are common pathological changes of many retinal diseases, such as proliferative retinopathy (PR) and age-related macular degeneration (AMD). Treatment modalities for these pathological changes are limited. The purpose of the present study was to test the effects of palmitoylethanolamide (PEA), an endocannabinoid mimetic amide, on retinal neovascularization and fibrosis and to determine its molecular mechanism of action. A rat Müller cell line (rMC-1), a mouse model of oxygen-induced retinopathy (OIR), and the very-low-density lipoprotein receptor (VLDLR) knockout mouse model were used. PEA was intraperitoneally injected or orally administrated in animal models. Inflammation and profibrotic changes were evaluated by western blot analysis. Glial fibrillary acidic protein (GFAP) and peroxisome proliferator-activated receptor alpha (PPARα) were measured by RT-PCR and western blot analysis. Profibrotic changes were present in OIR and Vldlr-/- retinas. PEA significantly alleviated inflammation and inhibited neovascularization in OIR and Vldlr-/- retinas and suppressed profibrotic changes in OIR and Vldlr-/- retinas. Moreover, PEA potently suppressed Müller gliosis in these retinas. In rMC-1 cells, PEA suppressed Müller gliosis, reduced inflammatory cytokines, and attenuated profibrotic changes. Further, both mRNA and protein levels of PPARα were elevated in the retina under PEA treatment, and the effects of PEA were abolished in Pparα-/- OIR mice. PEA reduced retinal neovascularization and fibrotic changes and suppressed Müller gliosis in experimental PR and neovascular AMD by activating PPARα. PEA may be a potential treatment for retinopathies with pathological neovascularization and fibrosis. Show less
no PDF DOI: 10.1167/iovs.61.4.15
RMC1
Li-Zhu Liao, Chih-Ta Chen, Nien-Chen Li +4 more · 2020 · International journal of molecular sciences · MDPI · added 2026-04-24
Hepatocellular carcinoma is one of the most common cancer types worldwide. In cases of advanced-stage disease, sorafenib is considered the treatment of choice. However, resistance to sorafenib remains Show more
Hepatocellular carcinoma is one of the most common cancer types worldwide. In cases of advanced-stage disease, sorafenib is considered the treatment of choice. However, resistance to sorafenib remains a major obstacle for effective clinical application. Based on integrated phosphoproteomic and The Cancer Genome Atlas (TCGA) data, we identified a transcription factor, Y-box binding protein-1 (YB-1), with elevated phosphorylation of Ser102 in sorafenib-resistant HuH-7 Show less
no PDF DOI: 10.3390/ijms22010224
SNAI1
Shengbiao Li, Qingsong Huang, Jianwen Mao +1 more · 2020 · The International journal of developmental biology · added 2026-04-24
FGF signaling pathway is imperative for definitive endoderm (DE) differentiation from human embryonic stem cells (hESCs), which always accompanies an epithelial-to-mesenchymal transition (EMT) process Show more
FGF signaling pathway is imperative for definitive endoderm (DE) differentiation from human embryonic stem cells (hESCs), which always accompanies an epithelial-to-mesenchymal transition (EMT) process. However, whether there is an association between FGF signaling and the EMT during DE formation in vitro has remained elusive. In the present study, we identify that several FGF family members were significantly activated during the differentiation of hESCs toward DE. Inhibition of FGF signaling by an efficient and selective inhibitor BGJ398 abolishes both the EMT and DE induction by blocking the activation of the zinc-finger transcription factor SNAI1 which is a direct transcriptional repressor of cell adhesion protein CDH1. In addition, cell proliferation is also severely influenced by attenuating the FGF signaling. Collectively, we propose that the FGF signaling promotes the DE formation through mediating the EMT and cell proliferation. Show less
no PDF DOI: 10.1387/ijdb.190372ql
SNAI1
Vignesh Sundararajan, Ming Tan, Tuan Zea Tan +4 more · 2020 · Cancers · MDPI · added 2026-04-24
The authors wish to make the following corrections to this paper [...].
no PDF DOI: 10.3390/cancers12123777
SNAI1
Jia Guo, Jianglin Zhang, Zhongfeng Huang +1 more · 2020 · Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · added 2026-04-24
Diabetic foot ulcer (DFU), with a high rate of amputation and mortality, is a serious complication of diabetes. However, the therapeutic effect of diabetic foot is poor. This study aimed to investigat Show more
Diabetic foot ulcer (DFU), with a high rate of amputation and mortality, is a serious complication of diabetes. However, the therapeutic effect of diabetic foot is poor. This study aimed to investigate the effect of CD147 on epithelial-mesenchymal transition (EMT) process in DFU and molecular mechanisms. Immunohistochemistry was used to reveal the expression of several proteins, such as CD147, E-cadherin, N-cadherin, Slug, and Phospho-RSK2 in DFU, non-diabetic refractory tissues, and wound margin tissues (normal blood glucose). Western blotting was used to analyze the expression of CD147 and Slug in HaCaT cells in the high-glucose environment. HaCaT cells with CD147 or RSK2 knockdown was constructed. Wound healing assay was used to test the migration capability of HaCaT cells with knockdown of CD147. Western blotting was used to detect the protein level of Slug in HaCaT cells with CD147 or RSK2 knockdown to investigate the effects of CD147 or RSK2 on EMT. Immunoprecipitation (IP) assay was used to detect the interaction between CD147 and RSK2. The expression levels of CD147 and Slug in the epithelial cells of marginal DFU tissues were significantly lower than those in non-diabetic refractory tissues and wound margin tissues (all CD147 could cause DFU re-epithelialization obstacle via affecting RSK2-mediated Slug/EMT process, which might be an underlying mechanism for the slow healing of DFU. Show less
no PDF DOI: 10.11817/j.issn.1672-7347.2020.200018
SNAI1
Tsai-Kun Wu, Chung-Hung Chen, Wei-Ting Lee +4 more · 2020 · Anticancer research · added 2026-04-24
Liver cancer is the fourth leading cause of cancer-related mortality globally, of which hepatocellular carcinoma (HCC) accounts for 85-90% of total primary liver cancer. A drug shortage for HCC therap Show more
Liver cancer is the fourth leading cause of cancer-related mortality globally, of which hepatocellular carcinoma (HCC) accounts for 85-90% of total primary liver cancer. A drug shortage for HCC therapy triggered us to screen the small-molecule database with a high-throughput cellular screening system. Herein, we examined whether cetyltrimethylammonium bromide (CTAB) inhibits cellular mobility and invasiveness of Mahlavu HCC cells. The effects of CTAB on cell viability were assessed using WST-1 assay, cell-cycle distribution using flow cytometric analysis, migration/invasion using woundhealing and transwell assays, and associated protein levels using western blotting. Treatment of Mahlavu cells with CTAB transformed its mesenchymal spindle-like morphology. In addition, CTAB exerted inhibitory effects on the migration and invasion of Mahlavu cells dose-dependently. CTAB also reduced the protein levels of matrix metalloproteinase-2 (MMP2), MMP9, RAC family small GTPase 1, SNAIL family transcriptional repressor 1 (SNAI1), SNAI2, TWIST family basic helix-loop-helix transcription factor 1 (TWIST1), vimentin, N-cadherin, phospho-fibroblast growth factor (FGF) receptor, phospho-phosphoinositide 3-kinase, phospho-v-Akt murine thymoma viral oncogene and phospho-signal transducer and activator of transcription 3 but increased the protein levels of tissue inhibitor of metalloproteinases-1/2 and E-cadherin. Rescue experiments proved that CTAB induced mesenchymal-epithelial transition in Mahlavu cells and this was significantly dose-dependently mitigated by basic FGF. CTAB suppressed the migration and invasion of Mahlavu cells through inhibition of the FGF signaling pathway. CTAB seems to be a potential agent for preventing metastasis of hepatic cancer. Show less
no PDF DOI: 10.21873/anticanres.14509
SNAI1
Jung Hwa Moon, Sang Hyuk Lee, Bon Seok Koo +6 more · 2020 · Oral oncology · Elsevier · added 2026-04-24
The acquisition of stem-like phenotype is partly attributed to the induction of epithelial-mesenchymal transition (EMT). Thus, the activation of factors involved in EMT can be linked to cancer stem ce Show more
The acquisition of stem-like phenotype is partly attributed to the induction of epithelial-mesenchymal transition (EMT). Thus, the activation of factors involved in EMT can be linked to cancer stem cell genesis. However, the underlying mechanisms in head and neck squamous cell carcinoma (HNSCC) remain largely unknown. Herein, we investigate whether slug, one of the major effectors of EMT, affects the stemness of HNSCC cells. We performed in vitro experiments to determine whether slug gene manipulation can influence the stemness phenotypes, including the capacity for self-renewal, expression of putative stemness markers, chemoresistance, and invasion in HNSCC cells. Further, we identified whether Slug knockout attenuates tumorigenicity of HNSCC cells in vivo. Finally, we examined whether prognosis of HNSCC patients after curative treatment may be affected by the level of slug expression. Overexpression of slug promoted self-renewal of HNSCC cells via activation of sphere formation, the expression of stem cell markers, and induction of chemoresistance to cisplatin. Also, slug overexpression increased the migration and invasion of HNSCC cells in vitro and was mainly observed during the invasion in HNSCC xenograft mouse model. By contrast, slug expression knockdown abrogated their self-renewal capacity, stemness-associated gene expression, and cisplatin chemoresistance. Furthermore, high levels of slug expression correlated with poor prognosis of patients with HNSCC. Inhibition of slug expression may represent a novel therapeutic strategy targeting HNSCC stem-like cells. Show less
no PDF DOI: 10.1016/j.oraloncology.2020.104948
SNAI1
Jing Zhao, Jing Wu, Yunyun Qin +3 more · 2020 · Cellular oncology (Dordrecht, Netherlands) · Springer · added 2026-04-24
Vasculogenic mimicry (VM), a vessel-like network formed by highly aggressive tumor cells, plays an important role in accelerating cancer progression. This special vascularization pattern is closely as Show more
Vasculogenic mimicry (VM), a vessel-like network formed by highly aggressive tumor cells, plays an important role in accelerating cancer progression. This special vascularization pattern is closely associated with a poor prognosis in various cancers. As yet, however, the regulatory mechanism of VM formation is largely unknown. In this study, we assess whether the long noncoding RNA PVT1 is involved in VM generation in gastric cancer. VM formation was determined by immunohistochemistry using PAS/CD31 double staining in gastric cancers and Matrigel tube formation in vitro. qRT-PCR and Western blotting were used to assess mRNA and protein expression. Interaction between PVT1 and STAT3 was determined using a RNA pull-down assay. Luciferase reporter and chromatin immunoprecipitation assays were performed to evaluate transcriptional activity of STAT3 on the Slug gene promoter. We found that PVT1 can induce VM generation both in vitro and in vivo. Mechanistically, we found that PVT1 interacted with and activated STAT3 through a 850-1770 nt fragment. PVT1 facilitated STAT3 recruitment to the Slug promoter and transcriptionally enhanced Slug expression, thereby triggering epithelial-to-mesenchymal transition (EMT) and VM capillary formation. STAT3 inhibition effectively blocked PVT1-mediated VM. In primary gastric cancer samples, a positive correlation was found between PVT1 and Slug upregulation, and patients with a high PVT1 and Slug expression exhibited markedly shorter survival times. Our results shed light on the role of PVT1 in gastric cancer cell-dependent VM formation. Our findings provide valuable clues for the design of new anti-angiogenic therapeutic strategies. The PVT1/STAT3 axis may serve as a potential target in gastric cancer treatment. Show less
no PDF DOI: 10.1007/s13402-020-00532-6
SNAI1
Fengyun Hao, Ya-Nan Bi, Lei Wang +9 more · 2020 · Cancer biomarkers : section A of Disease markers · added 2026-04-24
MicroRNAs (miRNAs) have been validated to play prominent roles in the occurrence and development of anaplastic thyroid carcinoma (ATC). miR-199a-5p was previously reported to act as a tumor suppressor Show more
MicroRNAs (miRNAs) have been validated to play prominent roles in the occurrence and development of anaplastic thyroid carcinoma (ATC). miR-199a-5p was previously reported to act as a tumor suppressor or oncomiRNA in various types of cancer. However, its accurate expression, function, and mechanism in ATC remain unclear. Here, we find that miR-199a-5p is significantly downregulated in ATC tissues compared with adjacent non-cancerous tissues. Overexpression of miR-199a-5p significantly inhibits migration and invasion of ATC cells in vitro, and lung metastasis in vivo. Importantly, miR-199a-5p suppresses epithelial-mesenchymal transition (EMT) both in vitro and in vivo by targeting Snail. Taken together, this study reveals that miR-199a-5p is critical to the EMT progression in ATC cells. Targeting the pathway described here may be a novel approach for inhibiting metastasis of ATC. Show less
no PDF DOI: 10.3233/CBM-201518
SNAI1