👤 Chunsheng Li

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Also published as: Xiaocun Li, Jianyu Li, Xinzhi Li, Guanqiao Li, Zequn Li, Guang-Xi Li, Yubo Li, Bugao Li, Qingchao Li, Xikun Li, Hong-Tao Li, Guobin Li, Xihao Li, Rongqing Li, Chang-Da Li, Meng-Yue Li, DaZhuang Li, Shunqin Li, Jiajie Li, Yaqiong Li, Yuan-hao Li, Yongmei Li, X Y Li, Peilin Li, Ran Li, Chunshan Li, Yixiang Li, Guanglve Li, Ye Li, Zili Li, Yihao Li, Qing Run Li, Liling Li, Meng-Yang Li, Ziyun Li, Jun-Ying Li, Xinhai Li, Yongjiang Li, Wanru Li, Wenhao Li, Shisheng Li, Sai Li, Guangwen Li, Hua Li, Dongmei Li, Jiayang Li, Zunjiang Li, Minglong Li, Wenzhe Li, Zihan Li, Jin-Long Li, Hongxin Li, Caiyu Li, Fa-Hui Li, Guangpu Li, Teng Li, Wen-Jie Li, Hegen Li, Ang Li, Zhizong Li, Lu-Yun Li, Peng Li, Shiyu Li, Fang Li, Jiuke Li, Miyang Li, Mingxu Li, Chen-Xi Li, Panlong Li, Changwei Li, Biyu Li, Yaoqi Li, San-Feng Li, Jiaming Li, Jiyuan Li, Rongkai Li, Yani Li, Linke Li, C Y Li, Thomas Li, Siting Li, Yongnan Li, Jinchen Li, Jin-Ping Li, Xuewen Li, R Li, Xianlong Li, Aixin Li, Xuening Li, Guang Li, Xiaoming Li, Z-H Li, Yongli Li, Baohong Li, Shuyuan Li, L Li, Yuanmei Li, Yanwu Li, Hualing Li, Sibing Li, Xining Li, Qinghe Li, Zonghua Li, Liqin Li, Jingya Li, Youjun Li, Zheng-Dao Li, Zhenshu Li, Heng-Zhen Li, Yuhui Li, Wen-Ying Li, Wei Li, Shuanglong Li, Fei-feng Li, Letai Li, Kangli Li, Ming Li, Wenbo Li, Runwen Li, Yarong Li, Weidong Li, S E Li, Xin-Tao Li, Ruotong Li, Shuguang Li, Xiuzhen Li, Lingxi Li, Chuan-Hai Li, Tingting Li, Guanghua Li, Zhongyu Li, Zhen-Yu Li, Deyu Li, Hansen Li, Jinzhi Li, Yijing Li, Kaifeng Li, Wen-Xing Li, Qintong Li, Naishi Li, Xin-Ping Li, Han-Ni Li, Jiaying Li, Cui-lan Li, Ruonan Li, Jun-Jie Li, Shuhao Li, Ruitong Li, Suyan Li, Gen-Lin Li, Dianjie Li, Junhui Li, Ya-Jun Li, Xue Cheng Li, Ding-Biao Li, Xiying Li, Yansong Li, Weiyong Li, Xinyang Li, Cui Li, Xiaoyong Li, Y L Li, Xueyi Li, Jingxiang Li, Wenxue Li, Jianglin Li, Yingpu Li, Yan-Hua Li, Jing-Yao Li, Shawn Shun-Cheng Li, Xiao-Min Li, Wan Jie Li, Ya-Ting Li, Dongbiao Li, Keguo Li, Yuanfei Li, Longhui Li, Jing-Yi Li, Zhonghua Li, Chunyi Li, Peiyun Li, Qinglan Li, Yue-Ting Li, Da Li, YiPing Li, Demin Li, Haipeng Li, Chuan Li, Ze-An Li, Jianmin Li, Minhui Li, Yu Li, Yiwei Li, Xiangzhe Li, Minglun Li, Xue-Min Li, Kenneth Kai Wang Li, Chunlan Li, Chiyang Li, Hulun Li, Juan-Juan Li, Hua-Zhong Li, Jiaomei Li, Xiangyun Li, Jing Li, Yingshuo Li, Baixing Li, Dengke Li, Qingling Li, Rui-Han Li, Dong Li, Xiaoxia Li, Dezhi Li, Sheng-Jie Li, Ying-Qing Li, Xin-Jian Li, Guangxi Li, Yanhui Li, Sha-Sha Li, Mengxuan Li, Ziyu Li, Gang Li, Panyuan Li, Hong-Wen Li, Xiaojuan Li, Dongnan Li, Huaiyuan Li, Ji-Liang Li, Huaping Li, C H Li, Bohua Li, Pei-Ying Li, Shaobin Li, Ronald Li, Shilun Li, Shi-Hong Li, John Zhong Li, Xinyu Li, Lujiao Li, Song-Chao Li, Chenghong Li, Baohua Li, Nianfu Li, Jun-Cheng Li, Yimeng Li, Chunting Li, Chien-Feng Li, Mei-Zhen Li, Zhengjie Li, Liwei Li, Yan-Yan Li, Huijun Li, Chengyun Li, Lijun Li, Hening Li, Fengxia Li, Jialing Li, Xin Li, Ningyan Li, Zhenghui Li, Ailing Li, Chaochen Li, Tengyan Li, Xianlu Li, Jiaqi Li, Jiabei Li, Wenjing Li, Jingshu Li, Han-Bo Li, Zengyang Li, Chunyan Li, Runzhen Li, Xi-Hai Li, Xuezhong Li, MengGe Li, Pei-Lin Li, Wan-Xin Li, Ruobing Li, Ning Li, Meitao Li, Xia Li, Ziqiang Li, Wen-Xi Li, Shenghao Li, Hehua Li, Yucheng Li, Dujuan Li, Yuying Li, Shaofei Li, Shaoguang Li, Min-Rui Li, Shuqiang Li, Dan C Li, Huashun Li, Ganggang Li, Haoqi Li, Handong Li, Yan-Nan Li, Xianglong Li, Jing-Jing Li, Songhan Li, Conglin Li, Qingli Li, Miao Li, Chenyu Li, Ke Li, Zhen-Hua Li, Chuan-Yun Li, Gaoyuan Li, Youming Li, Qingrun Li, Dong-Yun Li, Shuangfei Li, Fengfeng Li, Qinggang Li, Huixia Li, Xingye Li, Xiangjun Li, Huiying Li, Xingyu Li, Zhaoping Li, Wenying Li, Honghui Li, Cheung Li, Xuelian Li, Zhenming Li, Changyan Li, Mulin Jun Li, Shangjia Li, Jingjing Li, Suhong Li, Xinping Li, Siyu Li, Guangzhen Li, Xiangyan Li, Shiyun Li, Xiaoyu Li, Yaobo Li, Xuewang Li, Mei Li, Manjiang Li, Wan Li, Xiao-Li Li, Xiaoya Li, Shan Li, Shitao Li, Zehan Li, Lijia Li, Huiliang Li, Chunqiong Li, Junjun Li, Hui-Long Li, Zhao-Cong Li, Zhi-Wei Li, Wenxi Li, Chang-hai Li, Yuqiu Li, Xue-Yan Li, Yuan-Yuan Li, Xiang-Jun Li, Chia Li, Y X Li, Yunyun Li, Zhen-Jia Li, Qiuxuan Li, De-Jun Li, Keqing Li, Junxian Li, Shuwen Li, Lingjun Li, Deheng Li, Si-Xing Li, Yaodong Li, Shigang Li, Gao-Fei Li, Minle Li, Le-Le Li, Ziwen Li, Yongqiu Li, Pu-Yu Li, Nan-Nan Li, Lan-Lan Li, Hongming Li, Shuang Li, Wanting Li, Gong-Hua Li, Zhengyu Li, Weiguang Li, Guoqing Li, Xiaomeng Li, Yuanze Li, Yunqi Li, Yuandong Li, Changcheng Li, Shiyue Li, Hanbo Li, Yinggao Li, Dingshan Li, Linlin Li, Jin-Wei Li, Cheng-Tian Li, Yaxi Li, Wei-Ming Li, Ming-Han Li, Wenchao Li, Guangyan Li, Zhaosha Li, Xuesong Li, Chun-Quan Li, Yongzhen Li, Tao Li, Xiankai Li, Yaxuan Li, Tian-wang Li, Yuchan Li, Jiaxi Li, Yalin Li, Pei-Zhi Li, Guanyu Li, Jinlan Li, Huizi Li, Jianping Li, Yun-Lin Li, Yadong Li, Sujing Li, Wenzhuo Li, Xuri Li, Mengqiu Li, Yun Li, Ling-Ling Li, Chengwen Li, Shu-Feng Li, Haojing Li, Zhiyu Li, Ziyang Li, Yaochen Li, Qian Li, Bohao Li, Wenyang Li, Wenming Li, Mingxuan Li, Bingsong Li, Anqi Li, Shuai Li, Xiaoju Li, Na Li, Huibo Li, Chuanfang Li, Pengsong Li, Ruotian Li, Chunya Li, En-Min Li, Zong-Xue Li, Yan Ning Li, Honglin Li, Min-jun Li, Jinhua Li, Qian-Qian Li, Yuanheng Li, Chunxiao Li, Shijun Li, Kuan Li, Baoguang Li, Jie-Shou Li, Zimeng Li, Mengmeng Li, W-B Li, Binkui Li, Yu-Sheng Li, Junjie Li, Xiaoqi Li, Xiucui Li, Haihua Li, Yu-Lin Li, Tsai-Kun Li, Shujing Li, Mengyun Li, Mingna Li, Lanlan Li, Moyi Li, Xiyun Li, Ya-Pei Li, Zhongjie Li, Zhenbei Li, Shuangshuang Li, Hongwei Li, Ding-Jian Li, Xiao-Qiang Li, Danni Li, Min Li, Pengyang Li, Kun-Xin Li, Xiangpan Li, Zesong Li, Mingfei Li, Shuwei Li, Mingdan Li, Xihe Li, Jianfeng Li, Dexiong Li, Rongsong Li, Yinxiong Li, Hong-Yu Li, Weijian Li, Changhui Li, Dechao Li, Wenxia Li, Guoxiang Li, Ziru Li, Juxue Li, Man Li, Huayin Li, Xiao-yu Li, Jianyi Li, Guowei Li, Xingya Li, Gongda Li, Yajun Li, Wei-Ping Li, Nanjun Li, P H Li, Ranran Li, Suping Li, Jason Li, Monica M Li, Xianlun Li, Qi Li, Xiaoli Li, Xionghui Li, Fei Li, Hongmei Li, Xu-Wei Li, Mengsen Li, Quanpeng Li, Yajiao Li, Qilan Li, Qiuhong Li, Zongyun Li, Xiao-Yun Li, Cheng-Lin Li, Yousheng Li, Wen-Ting Li, Guoping Li, A Li, Simin Li, Weiguo Li, Xue-Nan Li, Xiaoying Li, Shengsheng Li, Hong Li, Yuqi Li, Zihua Li, Qing Li, Jiaping Li, Weiyang Li, Feng Li, Peihong Li, Jin-Mei Li, Lisha Li, Cuicui Li, Kaibo Li, Hanbing Li, Meng-Hua Li, J T Li, Xiangwei Li, Baiqiang Li, Ziliang Li, Donghe Li, Zheng Li, Congfa Li, Wenrui Li, Yong Li, Xiuling Li, Jingqi Li, Zhiyong Li, Xiao-Kang Li, Hanqi Li, Yangyang Li, Dongfang Li, Zhuorong Li, X-H Li, Dong Sheng Li, Lan-Juan Li, Xianrui Li, Zhigao Li, Chenlin Li, Zihui Li, Guoli Li, Huanqiu Li, Zhan Li, Weisong Li, Xinglong Li, Xiaozhen Li, Zhiyang Li, Cunxi Li, Ying Li, Jianlin Li, Yanshu Li, Guiying Li, Jinku Li, Cuiling Li, Zhisheng Li, Changgui Li, Xuekun Li, Yuguang Li, Wenke Li, Jiayi Li, Suwen Li, Peihua Li, Chang-Ping Li, Guangda Li, Jieming Li, Chunhui Li, Tongyao Li, Peiyu Li, Linfeng Li, Yuzhe Li, Qifang Li, Chang-Yan Li, Xiaolin Li, Duanxiang Li, Vivian Li, Justin Li, Meiting Li, Xue-Er Li, Hongchang Li, Youwei Li, Ronggui Li, Xingwang Li, Tiange Li, Yongjia Li, Dacheng Li, Xinmin Li, Luquan Li, Guoxing Li, Jianyong Li, Zongchao Li, Jia Li, Haimin Li, Sheng-Qing Li, Lingjie Li, Yiwen Li, Baoqi Li, Leyao Li, Xiao-Qin Li, Jiajing Li, Yanlin Li, Liao-Yuan Li, Yongkai Li, Hangwen Li, Hengguo Li, An-Qi Li, Xuehua Li, AnHai Li, Chenli Li, Zhengrui Li, Rumei Li, Yan-Yu Li, Lipeng Li, Qinqin Li, Qinghua Li, Leilei Li, Lianyong Li, Zhou Li, Q Li, Bizhi Li, Cheng-Wei Li, Wenwen Li, Jian'an Li, Guangqiang Li, Sichong Li, Wenyi Li, Qing-Min Li, Meiyan Li, Yun-Da Li, Jian-Qiang Li, Yingrui Li, Chenfeng Li, Shen Li, Ziqi Li, Yunfeng Li, Shufen Li, Yueqi Li, Xiao-Guang Li, Jiali Li, Zhencheng Li, Qiufeng Li, Pinghua Li, Xu Li, Zhenli Li, Yunxiao Li, Rosa J W Li, Hsin-Yun Li, XiaoQiu Li, Zhankui Li, Zhi Li, Zhijie Li, Huimin Li, Ruifang Li, Xiao-xu Li, Man-Xiang Li, Cong Li, Chengbin Li, Yuping Li, G Li, Zhi-Yong Li, Yukun Li, Xiong Bing Li, Wen Lan Li, Qingjie Li, Han Li, Yutang Li, Hankun Li, Hongling Li, Zhifan Li, Yan-Guang Li, Ji-Min Li, Peipei Li, Tian-Yi Li, Zhihao Li, Yao Li, Zheyun Li, Zhonglin Li, Lin Li, Jinfang Li, Chenjie Li, Yanming Li, S L Li, Ben-Shang Li, Hong-Lan Li, Xionghao Li, Shunqing Li, Ming-Kai Li, Lan Li, Yanwei Li, Chien-Te Li, Wenyan Li, Xiaoheng Li, Zeyuan Li, Hongqin Li, Zhenhao Li, Jonathan Z Li, Yong-Liang Li, M Li, Jiehan Li, Hongguo Li, Chenxin Li, Yongsen Li, Qingyun Li, Pengyu Li, Ai-Qin Li, Zichao Li, Cien Li, Qingyu Li, Xijing Li, Jingshang Li, Xingyuan Li, Dehua Li, Yanjiao Li, Jia-Huan Li, Guoxi Li, Xudong Li, Xingfang Li, Jisheng Li, Rongyao Li, Ru Li, Jiangya Li, Yiche Li, Yilang Li, Yunshen Li, Jingchun Li, Hexin Li, H J Li, Yanping Li, Qing-Wei Li, Qiang Li, Hsiao-Hui Li, L I Li, Hongzheng Li, Laiqing Li, Ningyang Li, Zhongxia Li, Guangquan Li, Shun Li, Hui-Jun Li, Xuefei Li, Guojun Li, Hung Li, Senlin Li, Jinping Li, Sainan Li, Jinghui Li, Zulong Li, Chengsi Li, P Li, Fulun Li, Yonghao Li, Mingli Li, Yehong Li, Pei Li, Quanshun Li, Yongping Li, Liguo Li, Weimin Li, Mingxia Li, Xue-Hua Li, M V Li, Gan Li, Shichao Li, Dapei Li, Zejian Li, Lihong Li, Haixia Li, Jingmei Li, Ao Li, Yitong Li, Siwen Li, Yanlong Li, Zhao Li, Kui Li, Yunxu Li, Xuanfei Li, Zilin Li, Mingqiang Li, Xiaojiao Li, Yinzhen Li, Yunsheng Li, Li-Min Li, Xiangqi Li, Jia-Peng Li, Wenqi Li, Haibo Li, Xiao-Jun Li, Yan-Hong Li, Shi Li, Xueling Li, Conghui Li, Xiaoxiong Li, Wanni Li, Chitao Li, Haiyang Li, Xiaobai Li, Pingping Li, Mingquan Li, Suran Li, Yuanfang Li, Yingqin Li, Qiner Li, Jiafang Li, Shanhang Li, Han-Bing Li, Zongzhe Li, Yikang Li, Si-Yuan Li, Hongmin Li, Caihong Li, Yajing Li, Benyi Li, Yuquan Li, Hongzhi Li, Chengxin Li, Xiaojiaoyang Li, Xinxin Li, Jian-Shuang Li, Yubin Li, Dazhi Li, Chenglan Li, Yuhong Li, Fengqiao Li, Di Li, Yanbing Li, Jufang Li, Zecai Li, Qipei Li, Xiaoning Li, Xiyue Li, Minghua Li, Tianchang Li, Zhuoran Li, Hongru Li, Shiqi Li, Mei-Ya Li, Wuyan Li, Yi-Ling Li, Yingjian Li, Zhirong Li, Wang Li, Mingyang Li, Weijun Li, Boyang Li, Cai Li, Jingcheng Li, Ivan Li, Mengshi Li, Manxia Li, Ya Li, Dan-Ni Li, Wen-Chao Li, Sunan Li, Zhencong Li, Lai K Li, Jiong Li, Daiyue Li, Bingong Li, Chunxue Li, Yunlong Li, Jianshuang Li, Juanling Li, Xinbin Li, Xue-jing Li, Yuling Li, Yetian Li, Xianlin Li, Chuangpeng Li, Mingrui Li, Yanjun Li, Jiequn Li, Zhongding Li, Jiangui Li, Zhengyang Li, Cyril Li, Xinghui Li, Yuefei Li, Xinyan Li, Xiaoyun Li, Yushan Li, Ping'an Li, Weiping Li, Huan Li, Changjiang Li, Chengping Li, He-Zhen Li, G-P Li, Yinliang Li, Wen Li, Weihai Li, Yu-Kun Li, Jiangan Li, Zhaojin Li, Bingxin Li, Wenjuan Li, Chia-Yang Li, Wenyu Li, Hairong Li, Su Li, Mei-Lan Li, Wenjun Li, Jiaxin Li, Chenguang Li, Ming D Li, Ruyue Li, Xiaolian Li, Ya-Ge Li, Yinyan Li, Guangli Li, Rujia Li, Qijun Li, Lixia Li, Yunrui Li, Yuhuang Li, Shanshan Li, Wan-Shan Li, Jing-gao Li, Yiyang Li, Fengxiang Li, Nana Li, Jingui Li, Huamao Li, Xiankun Li, Jingke Li, Tianyao Li, Xiaowei Li, Junming Li, Hai-Yun Li, Zhongxian Li, H-J Li, Zhixiong Li, Lingyan Li, Xuhang Li, Chen-Lu Li, Jialun Li, Xinjian Li, Zilu Li, Sheng-Fu Li, Zezhi Li, Xue-Fei Li, Yudong Li, Hongjiang Li, Jingyun Li, Binghua Li, Hanjun Li, Qihua Li, Jin-Qiu Li, Jiaxuan Li, Guangjin Li, Xutong Li, Ranwei Li, Kai Li, Wei-Li Li, Keanning Li, Ling Li, Peiqin Li, Xiaodong Li, Nanxing Li, Qihang Li, Baoguo Li, Jianrong Li, Zhehui Li, Chenghao Li, Weike Li, Chuanbao Li, Zhixuan Li, Chuzhong Li, M D Li, Yuan-Tao Li, Kening Li, Guilan Li, Wanshi Li, Ling-Zhi Li, Hengtong Li, Yifan Li, Ya-Li Li, Songyun Li, Xiaoran Li, Bolun Li, Linchuan Li, Jiachen Li, Haibin Li, Huangbao Li, Guo-Chun Li, Xinli Li, S Li, Wenqing Li, Wenhua Li, Caiyun Li, Xinrui Li, Hanbin Li, Wanwan Li, Jia Li Li, Wan-Hong Li, Mingke Li, Huanhuan Li, Xiaoyuan Li, Zongfang Li, Yang Li, BoWen Li, Duoyun Li, Yimei Li, Zhi-qiang Li, Yi-Ting Li, Jiangxia Li, Yujie Li, Zhiping Li, Yan-Li Li, Haiming Li, Gaijie Li, Yuemei Li, Xuefeng Li, Xiao-Hong Li, Mengjuan Li, Yinglin Li, Yaofu Li, Ren-Ke Li, Yi Li, Baosheng Li, Mian Li, Yujun Li, Lixi Li, Jin-Xiu Li, Jiwen Li, Zhouhua Li, Qingqin S Li, Honglei Li, Guojin Li, Xin-Yue Li, Dingchen Li, Xiaoling Li, Meng-Jun Li, Peining Li, Congjiao Li, Huilin Li, Songtao Li, Fusheng Li, Dai Li, Meiyue Li, Kechun Li, Keshen Li, Yuxin Li, Shaoliang Li, Shu-Xin Li, Hong-Zheng Li, Tianye Li, Qun Li, Zhen Li, Mengling Li, Jia-Da Li, Baoqing Li, Pu Li, Xingli Li, Bingkun Li, Nien-Chi Li, Tiewei Li, Daniel Tian Li, Rong-Bing Li, Wei-Yang Li, Rong Li, Mingkun Li, Binxing Li, Zixiao Li, Guixin Li, Quanzhang Li, Da-wei Li, Xiumei Li, Melody M H Li, Peibo Li, Huanjun Li, Chung-Hao Li, Liuzheng Li, Zhanjun Li, Yifei Li, Tianming Li, Chang-Sheng Li, Tianyou Li, Jipeng Li, Longxuan Li, Shi-Guang Li, Wenxiu Li, Zhuang Li, Yu-Hao Li, Shilin Li, Shili Li, Meiqing Li, Hengyu Li, Yinhao Li, Junying Li, Mufan Li, Chun-Lai Li, Shiya Li, Xiao-Jiao Li, Li Li, Hanxue Li, Lulu Li, L P Li, Xiaoqin Li, Chunmei Li, Mingjun Li, Yuanhua Li, Qiaolian Li, Ji-Cheng Li, Haolong Li, Xuanzheng Li, Peng-li Li, Quan Li, Xue-Ying Li, Yongzhe Li, Tianyi Li, Qingfeng Li, Nanlong Li, Ping Li, Fangzhou Li, Nien-Chen Li, Yuanchuang Li, Haiying Li, Yunting Li, Hong-Yan Li, Shengbiao Li, Yue-Rui Li, Ruidong Li, Y M Li, Sijie Li, Meilan Li, D C Li, Andrew C Li, Jianye Li, Qiuyan Li, Tingguang Li, Xiangyang Li, Chunjie Li, Tianfeng Li, Anna Fen-Yau Li, Minghui Li, Jiangfeng Li, Jie-Pin Li, Kaiyi Li, Junyi Li, Dongtao Li, Fengyuan Li, Chenxi Li, Zuo-Lin Li, Zhengwei Li, Yan-Chun Li, Suiyan Li, Qiaoqiao Li, Xiaotian Li, Zhenguang Li, Jia-Ru Li, Pei-Qin Li, Chun-Xiao Li, Shu-Hong Li, Shuyue Li, Quan-Zhong Li, Tongzheng Li, Fangyan Li, Duo Li, Ren Li, Hongye Li, Lanfang Li, Mingwei Li, Wenxin Li, W J Li, Zhijia Li, Jingtong Li, Lucy Li, Zhengpeng Li, Xiayu Li, Baolin Li, Cuilan Li, Yuting Li, Xiaobo Li, Meijia Li, Shujiao Li, Kun-Ping Li, Weirong Li, Weihua Li, Runzhao Li, Xiang-Dong Li, Yanxin Li, Xiufeng Li, Yingjun Li, Xiaohuan Li, Ying-Qin Li, Fan Li, Jun Z Li, Yiheng Li, Taiwen Li, Xiaorong Li, Haifeng Li, Liping Li, Rena Li, Jiangtao Li, Yu-Jui Li, Rui-JĂşn Eveline Li, Xuanxuan Li, Bing-Mei Li, Yunman Li, Shuhua Li, Chunying Li, Leipeng Li, Weiheng Li, Baizhou Li, Han-Ru Li, Sheng Li, Yaqiang Li, Guoyin Li, Qiwei Li, Chengjun Li, Jianxiong Li, Ji Li, Huaying Li, Tuojian Li, Yixin Li, Ziyue Li, Juntong Li, Xiang Li, Chaonan Li, Yu-Chia Li, Heying Li, Shaomin Li, Yuxuan Li, Xuan-Ling Li, Bingshan Li, Jiahao Li, Shibao Li, Ruijin Li, Kunlong Li, Xiaofeng Li, Zhaolun Li, Litao Li, Ruyi Li, Wanxin Li, Jinsong Li, Ying-Lan Li, Yulin Li, Shaojian Li, Mohan Li, Yan-Xue Li, Enhong Li, Xiangnan Li, Yong-Jun Li, Hang Li, Ziming Li, Jing-Ming Li, Yuanchang Li, Xiao-Lin Li, Yicun Li, Zhao-Yang Li, K-L Li, Xinjia Li, Bin Li, Jianhai Li, Peiwu Li, Youran Li, Changyu Li, Ming Zhou Li, Z Li, Xinmei Li, Wulan Li, Haoxian Li, Xiaozhao Li, Da-Lei Li, Jinming Li, Huihui Li, Kailong Li, Qiankun Li, Shengxu Li, Xiuli Li, Yulong Li, Ru-Hao Li, Zhi-Peng Li, Lanzhou Li, Tingsong Li, Binjun Li, Chen Li, Yawei Li, Chao Bo Li, Donghua Li, Siming Li, Fengli Li, Song Li, Hsin-Hua Li, You Li, Dongfeng Li, Zhen-Yuan Li, Xuelin Li, Xueyang Li, Bao Li, Yin Li, Cai-Hong Li, Dejun Li, Yufeng Li, Miaoxin Li, Hu Li, Bei Li, W H Li, Sha Li, Ya-Qiang Li, Xiushen Li, Jinlin Li, Xiaoqing Li, Shuaicheng Li, Xuebiao Li, Yingyi Li, Maolin Li, Jiyang Li, Zhongxuan Li, Linting Li, Zhong-Xin Li, Enhao Li, Shengliang Li, Hujie Li, Yue-Ming Li, Zhaohan Li, Alexander Li, Wen-juan Li, Pilong Li, Yun-Peng Li, C X Li, Huanan Li, Miao X Li, KeZhong Li, Linying Li, Chu-Qiao Li, Fa-Hong Li, Changzheng Li, Yaokun Li, Zhi-Gang Li, Yufan Li, Liangqian Li, Guanghui Li, Xiongfeng Li, Side Li, Timmy Li, Jiezhen Li, Qiuya Li, Haitao Li, Yufen Li, Qin Li, Annie Li, Wenge Li, Xueren Li, Chun-Mei Li, Meng-Yao Li, Chung-I Li, Zhi-Bin Li, Junping Li, Xiao Li, PeiQi Li, Xiaobing Li, Liangdong Li, Yan Li, Shengchao A Li, Pan Li, Huiqiong Li, Guigang Li, Lucia M Li, Chunzhu Li, Chengquan Li, Zexu Li, Zhilei Li, Tiantian Li, Wenyong Li, Desen Li, Tianjun Li, Zihao Li, Fadi Li, Huawei Li, Yu-quan Li, Jihua Li, Jingping Li, Zhiquan Li, Zeyu Li, Zongdi Li, Ming V Li, Aowen Li, L K Li, Aimin Li, Tiehua Li, Guohong Li, Botao Li, L-Y Li, Xiuqi Li, Zhenhua Li, Zhengda Li, Haotong Li, Luhan Li, Yuancong Li, Tian Li, Yuxiu Li, Beibei Li, Changhong Li, Yvonne Li, Zhichao Li, Jiayuan Li, Yige Li, Siguang Li, Chengqian Li, Weiye Li, Dong-fei Li, Xiangchun Li, Hailong Li, Kun-Peng Li, Haijun Li, Si Li, Ji-Feng Li, Wanqian Li, Zijing Li, Wentao Li, Yuchuan Li, Xuhong Li, Hongyun Li, Zhonggen Li, Xiong Li, Penghui Li, Huiting Li, Xiaolong Li, Linqing Li, Jiawei Li, Defa Li, X L Li, Yuyan Li, Kawah Li, Shupeng Li, Zhenfei Li, Zhuo Li, Han-Wei Li, Weina Li, Xiao-Hui Li, Rui-Fang Li, Jianzhong Li, Bing Li, Huihuang Li, Yunmin Li, Yanying Li, Gui Lin Li, Chenrui Li, Dengfeng Li, N Li, Xiaotong Li, Chensheng Li, Ming-Qing Li, Yongxue Li, Bao-Shan Li, Zhimei Li, Jiao Li, Jingming Li, Jinxia Li, De-Tao Li, Shu Li, Julia Li, Huilan Li, Xin-Ya Li, Chengjian Li, Ying-na Li, Guihua Li, Zhiyuan Li, Supeng Li, Yiju Li, Yuanhe Li, Guangxiao Li, Xueqin Li, Peixin Li, Feng-Feng Li, Zu-Ling Li, Yunjiu Li, Dayong Li, Zonghong Li, Lingjiang Li, Yuhan Li, Fuyuan Li, H-F Li, Chunxia Li, Zhen-Li Li, Zhengying Li, Zhaoshui Li, Yali Li, Yu-Hui Li, Chuang Li, Jiajun Li, Can Li, Zhe Li, Stephen Li, Shuangding Li, Mangmang Li, Kaiyuan Li, Xiaopeng Li, Anan Li, Luying Li, Jiajv Li, Xiaoquan Li, Yanxi Li, Yongjing Li, Huayao Li, Jiqing Li, Huixue Li, Boxuan Li, Yongqi Li, Qingyuan Li, Fengqi Li, Yuqing Li, Zhigang Li, Guiyang Li, Guo-Qiang Li, Yanbo Li, Sanqiang Li, Hongyu Li, Guangping Li, Jinxin Li, Xinrong Li, Yayu Li, Huaixing Li, Minyue Li, Hong-Mei Li, Jutang Li, Mengxia Li, Yongxiang Li, Qilong Li, Songlin Li, Dijie Li, Yizhe Li, Yan Bing Li, Jiani Li, Lianjian Li, Yiliang Li, Xinpeng Li, Hongxing Li, Wanyi Li, Mi Li, Guo Li, Jingxia Li, Xiu-Ling Li, Fuhai Li, Ruijia Li, Yumiao Li, Jiexi Li, Kecheng Li, Junxu Li, Junya Li, Jiang Li, Shengxian Li, Qingyang Li, Yuxi Li, Chenxuan Li, Xiao-Dong Li, Xinghuan Li, Zhenlu Li, Xiaolei Li, Huilong Li, Xiao-Gang Li, Zhenhui Li, Chunjun Li, Shu-Fen Li, Yinghua Li, Yanjie Li, Chaoying Li, Juanjuan Li, Qiu Li, Kunlun Li, Shiquan Li, Xiangdong Li, Zhenjia Li, Jifang Li, Zhizhong Li, Ding Yang Li, Chenlong Li, Shujin Li, Weining Li, Wu-Jun Li, Yumao Li, Bin-Kui Li, Honglian Li, Ya-Zhou Li, Hongyi Li, Fu-Rong Li, Honghua Li, Lanjuan Li, Man-Zhi Li, Xiancheng Li, Yanmei Li, Zhihua Li, Minqi Li, Saijuan Li, Danxi Li, Mimi Li, Yingjie Li, Yuan-Hai Li, Lujie Li, Minghao Li, Meifen Li, Yifeng Li, Huanqing Li, Yuhang Li, Jianhua Li, Chanjuan Li, Lingyi Li, Yanchuan Li, Bai-Qiang Li, Chunmiao Li, Jiong-Ming Li, Yongqiang Li, Linsheng Li, Mingyao Li, Ze Li, R H L Li, Guisen Li, Dongyang Li, Jinglin Li, Honglong Li, Mingfang Li, Hanmei Li, Chenmeng Li, Shiyang Li, Jianing Li, Xinsheng Li, Jin-Jiang Li, Zhi-Xing Li, Chang Li, Jiwei Li, Weifeng Li, Wenhui Li, Sichen Li, Qingsheng Li, Liangji Li, Lixiang Li, Jin-Liang Li, Xiaoqiong Li, You Ran Li, Yixiao Li, Kathy H Li, Yuhua Li, Deqiang Li, Y Li, Mingyue Li, Zipeng Li, Caixia Li, Hongli Li, Yanfeng Li, Yaqin Li, Yu-He Li, Shasha Li, S-C Li, Xi Li, Siyi Li, Minmin Li, Manna Li, Dawei Li, Xun Li, Ming-Jiang Li, Sitao Li, Tinghua Li, Zhenfen Li, Shuo Li, Si-Ying Li, Xinyi Li, Jenny J Li, Xue-zhi Li, Xiaonan Li, Zhenyu Li, Ting Li, Xiang-Yu Li, Duan Li, Lei Li, Hongde Li, Fengqing Li, Yanchang Li, Xunjia Li, Ruixia Li, Nanzhen Li, Hongxue Li, Bingjie Li, Xiaojing Li, Xinlin Li, Yu-Ying Li, Wenli Li, Mengze Li, Kaiwei Li, Huangyuan Li, Lili Li, Junxin Li, Wei-Jun Li, Guoyan Li, Fei-Lin Li, Nuomin Li, Yanyan Li, Shulin Li, Shanglai Li, Taibo Li, Yue Li, Junqin Li, JunBo Li, Jun-Ru Li, Xueying Li, Zhongcai Li, Zhaobing Li, Linxin Li, Jen-Ming Li, Chen-Chen Li, Hongquan Li, Chuan F Li, Yanxiang Li, Yi-Wen Li, Shihong Li, Rulin Li, Huifeng Li, Lijuan Li, Yuanhong Li, Shengbin Li, Jingyu Li, Xuewei Li, Long Li, Min-Dian Li, Wenjia Li, Xiatian Li, Yangxue Li, Chengnan Li, Chuanyin Li, Yiqiang Li, Zhenzhou Li, Xiawei Li, Binglan Li, Yutong Li, Yingnan Li, Ge Li, Xinzhong Li, Chenyao Li, Jun-Yan Li, Boru Li, Ruixue Li, Zemin Li, Jixi Li, Chris Li, Jicheng Li, Chuanning Li, Jiafei Li, Yingying Li, Gaizhi Li, Chien-Hsiu Li, Xiangcheng Li, Siqi Li, Chunxing Li, Qiao-Xin Li, Huang Li, Shu-Fang Li, Qiusheng Li, Weiqin Li, Xinming Li, Yongjun Li, Mengyang Li, Guo-Jian Li, Chenglong Li, Nan Li, Yipeng Li, Mingxing Li, Xin-Yu Li, Chunyu Li, Jinwei Li, Xuhua Li, Yu-Xiang Li, Long Shan Li, Yanze Li, Xiao-Feng Li, W Li, Fengjuan Li, Hainan Li, Yutian Li, Xiliang Li, Shuangmei Li, Ying-Bo Li, Duanbin Li, Maogui Li, Dan Li, Sumei Li, Peilong Li, Kang Li, Yinghao Li, Lirong Li, Wenhong Li, Audrey Li, Yijian Li, Guang Y Li, Xianyong Li, Shilan Li, Guang-Li Li, Bang-Yan Li, Enxiao Li, Jianrui Li, Guohua Li, Kezhen Li, Xingxing Li, Ellen Li, Yijie Li, Suwei Li, Shuyu D Li, Ruiwen Li, Jiandong Li, Fangyong Li, Binru Li, Yuchao Li, Hanlu Li, Jianang Li, Xue-Peng Li, Sheng-Tien Li, Shihao Li, Yazhou Li, Jun-Ling Li, Caesar Z Li, Lang Li, Feifei Li, Kejuan Li, Qinghong Li, Qiqiong Li, Xinxiu Li, Chongyi Li, Yi-Ying Li, Shaodan Li, Yongzheng Li, Da-Hong Li, Xiao-mei Li, Jiejie Li, Ruihuan Li, Yaoyao Li, Yueguo Li, Mo Li, Ming-Hao Li, Hongsen Li, Menghua Li, Ka Li, Kaixin Li, Fuping Li, Jianbo Li, Xing-Wang Li, Chong Li, Fugen Li, Yuwei Li, Xiaochen Li, Zizhuo Li, Xiaoxiao Li, Le-Ying Li, Pengcui Li, Bing-Heng Li, Xiaoman Li, Xiaohong Li, Yuan Hao Li, Jianchun Li, Wenxiang Li, Zhaoliang Li, Guo-Ping Li, Zhifei Li, Jinhui Li, Yuanyou Li, Chongyang Li, Wanyan Li, Yumin Li, Longyu Li, X B Li, Jianguo Li, En Li, Ximei Li, Shaoyong Li, Kai-Wen Li, Guandu Li, Yixue Li, Junfeng Li, Xin-Chang Li, Yue-Ying Li, Kongdong Li, Lian Li, Xinmiao Li, Chenyang Li, Jiacheng Li, Xiaohua Li, Zhuangzhuang Li, Xiaohui Li, Cang Li, Xuepeng Li, Mingjiang Li, Zongyu Li, Shujie Li, Yanbin Li, Shiliang Li, Qinrui Li, Yiming Li, Xiao-Tong Li, Tie Li, Wei-Bo Li, Xiaoyi Li, Liyan Li, Xinke Li, Xiaokun Li, Ming-Wei Li, Minzhe Li, Wenfeng Li, Karen Li, X Li, Meifang Li, Yanjing Li, Maosheng Li, Ju-Rong Li, Shibo Li, Jin Li, Li-Na Li, Hui Li, Fangqi Li, Xiaoguang Li, Xian Li, Danjie Li, Vivian S W Li, Ranchang Li, Defu Li, Amy Li, Haoyu Li, Xiaoyao Li, M-J Li, Jiao-Jiao Li, Zhu Li, Rongling Li, Tong-Ruei Li, Ben Li, Yingxia Li, Yonghe Li, Xinwei Li, Yu-I Li, Shunhua Li, Mingxi Li, Qionghua Li, Guo-Li Li, Xingchen Li, Tianjiao Li, Gui-Rong Li, Yunpeng Li, Qiong Li, Songyu Li, Shi-Fang Li, Shude Li, Zhibin Li, Yaxiong Li, Qing-Fang Li, Shengwen Li, Gui-Bo Li, Xueer Li, Zihai Li, Yue-Jia Li, Haihong Li, Peifen Li, Mingzhou Li, Taixu Li, Jiejing Li, Meng-Miao Li, Meiying Li, Chunlian Li, Meng Li, Cun Li, T Li, Yinghui Li, Feilong Li, Sin-Lun Li, Weiling Li, Mengfan Li, Jie Li, Shiyan Li, Lianbing Li, Yanchun Li, Xuze Li, Jialin Li, Wenjian Li, He Li, Bichun Li, Hanqin Li, Guoge Li, Wen-Wen Li, Keying Li, Minze Li, Xingcheng Li, Wanshun Li, Congxin Li, Xiangrui Li, Caolong Li, Michelle Li, Chaojie Li, J Li, Zhi-Jian Li, Jianwei Li, Jiexin Li, Hongyan Li, Zhen-Xi Li, Guangdi Li, Xiaxia Li, Nien Li, Yuefeng Li, Peiyuan Li, Tiansen Li, Chi-Yuan Li, Xiangfei Li, Xue Li, Fen Li, Jieshou Li, Roger Li, Mengqing Li, Menglu Li, Huiqing Li, Yantao Li, Ruolin Li, Yongle Li, Haying Li, Shao-Dan Li, Muzi Li, Gen Li, Dong-Ling Li, Chenwen Li, Le Li, Yong-Jian Li, Si-Wei Li, Manru Li, Yingxi Li, Caili Li, Yuqian Li, Wei-Dong Li, Guannan Li, Ya-Feng Li, Wenlong Li, Yuna Li, Shengli Li, Shugang Li, Xuan Li, Yongze Li, Yongxin Li, Lu Li, Zhuo-Rong Li, Qinglin Li, Bingbing Li, Runzhi Li, Qi-Jing Li, Zhenyan Li, Ji Xia Li, Yu-Ye Li, Meizi Li, Yuezheng Li, Zhengnan Li, Jianglong Li, Xiaozheng Li, Huili Li, Hongzhe K Li, Xiao-Qiu Li, Jiejia Li, Yi-Yang Li, Zhihui Li, Fujun Li, Ni Li, Luxuan Li, Qiang-Ming Li, Yakui Li, Huafu Li, Xinye Li, Chunliang Li, Ruiyang Li, Chun Li, Jianan Li, Wenfang Li, Xiangling Li, Sung-Chou Li, Lianhong Li, Cheng Li, Tiegang Li, Zhong Li, Shuang-Ling Li, Xiao-Long Li, Xiaofei Li, Hung-Yuan Li, Zhang Li, Jianxin Li, H Li, Dongliang Li, Chenxiao Li, Hongjia Li, Xiao-Jing Li, Y H Li, Jian Li, Daoyuan Li, Baichuan Li, Zhenzhe Li, Jian-Mei Li, Kaimi Li, Peiran Li, Qiao Li, Yi-Yun Li, Xiao-Cheng Li, Yike Li, Yihan Li, Junsheng Li, Jiayu Li, Wen-Ya Li, Rongxia Li, Yunlun Li, Guoqin Li, Huiqin Li, Chunlin Li, Jisen Li, Peng Peng Li, Kenli Li, Guanglu Li, Xiushi Li, Dongmin Li, Jian-Jun Li, Fengyi Li, Yanling Li, Juanni Li, C Li, You-Mei Li, Beixu Li, Guiyuan Li, Suk-Yee Li, Shengjie Li, Yuanyuan Li, Xiaona Li, Shanyi Li, Chih-Chi Li, Hongbo Li, Xinhui Li, Jun Li, Mingzhe Li, Hongjuan Li, Senmao Li, Mingjie Li, Ling-Jie Li, Hong-Chun Li, Yaying Li, Liqun Li, Changxian Li, Chunqing Li, Yanni Li, Yongsheng Li, Xiujuan Li, Huifang Li, Lingling Li, Xinhua Li, Minerva X Li, Alexander H Li, Wendeng Li, Ding Li, Ming-Yang Li, Shengze Li, Linyan Li, Hewei Li, Da-Jin Li, Xiao-kun Li, Yuanhao Li, Ji-Lin Li, Congcong Li, Juan Li, Xiaobin Li, Shaoqi Li, Yuehua Li, Jinfeng Li, Shiheng Li, Hsiao-Fen Li, Mengjiao Li, Tianxiang Li, Meng-Meng Li, Liangkui Li, Tian-chang Li, Yahui Li, Wenlei Li, Xi-Xi Li, Haiyan Li, Xujun Li, Chi-Ming Li, Yi-Ning Li, Dandan Li, Yunan Li, Sherly X Li, Jiazhou Li, Zhijun Li, Zechuan Li, Wanling Li, Zhiwei Li, Xueshan Li, Jiangbo Li, Xiaohan Li, Huijie Li, Zhongwen Li, W W Li, Yalan Li, Xuejun Li, Shunwang Li, Yaqing Li, Chao Li, Yaqiao Li, Bingsheng Li, Jianfang Li, Shubo Li, Qi-Fu Li, Zi-Zhan Li, Haoran Li, Xiaoliang Li, Xinyuan Li, Maoquan Li, Chumei Li, Shijie Li, Zhanquan Li, Wenguo Li, Fangyuan Li, Xiaochun Li, Rui Li, Xuemin Li, Shanpeng Li, Wei-Na Li, Dong-Run Li, Yunxi Li, Xuyi Li, Yunchu Li, Zhengyao Li, Jinghao Li, Y-Y Li, Xiaofang Li, Tuoping Li, Pengyun Li, Lin-Feng Li, Ziqing Li, Shuangxiu Li, Yongjin Li, Chenhao Li, Weizu Li, Deming Li, Jiuyi Li, Chun-Xu Li, Luyao Li, Desheng Li, Long-Yan Li, Fuyu Li, Lingzhi Li, Xiao-Sa Li, Kunlin Li, Shu-Qi Li, Zehua Li, Mengyuan Li, Congye Li, Wensheng Li, Dehai Li, Qingshang Li, Jiannan Li, Guanbin Li, Zhiyi Li, Xing Li, Zhaoyong Li, SuYun Li, Shiyi Li, Suchun Li, Yanan Li, Jiayan Li, YueQiang Li, Xiangping Li, H-H Li, Jinman Li, Dongdong Li, Hao Li, Liliang Li, Mengxi Li, Keyuan Li, Shaojing Li, S S Li, Tong Li, Yilong Li, Lihua Li, Xue-Lian Li, Yansen Li, Hai Li, Zhi-Yuan Li, Jingfeng Li, Yanli Li, Yuan-Jing Li, Kaibin Li, Xiaohu Li, Wenjie Li, Ruikai Li, Qiyong Li, Ruixi Li, Zhonglian Li, Dalin Li, Kun Li, Qizhai Li, Pengju Li, Peifeng Li, Ai-Jun Li, Yueting Li, YaJie Li, Zijian Li, Yanqing Li, Jixuan Li, Zhandong Li, Xuejie Li, Gaizhen Li, Liang Li, Huafang Li, Nianyu Li, Chenlu Li, X-L Li, Shawn S C Li, Cuiguang Li, Dongye Li, F Li, Chunhong Li, Yuan Li, Kunpeng Li, Zhenghao Li, Chun-Bo Li, Zhantao Li, Xinle Li, Wuguo Li, Bing-Hui Li, Honggang Li, Jingyong Li, Shikang Li, Shi-Ying Li, Ming Xing Li, Ming-Xing Li, Marilyn Li, Bei-Bei Li, Hong-Lian Li, Shishi Li, Haitong Li, Yuli Li, Ruibing Li, Qingfang Li, Qibing Li, Wende Li, Heng Li, Xiao-Na Li, Xidan Li, Yixing Li, Chengcheng Li, Yu-Jin Li, Baoting Li, Ka Wan Li, Huiyou Li, Binbin Li, Xinyao Li, Gui-xing Li, Niu Li, Shunle Li, Siyue Li, Diyan Li, Mengyao Li, Yixuan Li, Shan-Shan Li, Zhuanjian Li, Gerard Li, Yuyun Li, Zhiqiong Li, Zonglin Li, Pik Yi Li, Jingxin Li, Defeng Li, Zu-guo Li, Xin-Zhu Li, Jia-Xin Li, Kuiliang Li, Pindong Li, Hualian Li, Junhong Li, Youchen Li, W Y Li, Yi-Heng Li, Runbing Li, Yanmin Li, Jingyi Li, Yuxiang Li, Hao-Fei Li, Yining Li, Xiurong Li, Haiyu Li, Huijuan Li, Yunze Li, Xu-Zhao Li, Yanzhong Li, Kainan Li, Guohui Li, Xiaoyan Li, Xu-Bo Li, Yue-Chun Li, Jiahui Li, Huiping Li, Kangyuan Li, Biao Li, Xiaoxuan Li, Anyao Li, Qing-Chang Li, Hongliang Li, Dalei Li, Zongjun Li, Changqing Li, Hanting Li, Dong-Jie Li, Xiaomin Li, Dengxiong Li, Yi-Shuan J Li, Tinghao Li, Zhouxiang Li, Yun-tian Li, Jianliang Li, Guangzhao Li, Yixi Li, Shuyu Dan Li, S A Li, Jinjie Li, Liming Li, Wenqun Li, Guixia Li, Yinan Li, Aoxi Li, Yuanjing Li, Linqi Li, Xixi Li, Bingjue Li, Binghu Li, Yu-Hang Li, Shuhui Li, Mengying Li, Yihong Li, Yaxian Li, Dali Li, Zhiming Li, Xuemei Li, Xueting Li, Yongting Li, Hongxia Li, Zhenjun Li, Danyang Li, Tiandong Li, Di-Jie Li, Bo Li, Jinliang Li, Qiji Li, Zhipeng Li, Xiaoping Li, Linhong Li, Taoyingnan Li, Lieyou Li, Huabin Li, Mao Li, Yongchao Li, Xiaoting Li, Ruotai Li, Yaojia Li, Xiao-Yao Li, Shangming Li, Yaqi Li, Yibo Li, Gui-Hua Li, Zhihong Li, Yandong Li, Chaowei Li, Huiyuan Li, Yuchun Li, Boya Li, Lamei Li, O Li, Joyce Li, Suheng Li, Hui-Ping Li, Junru Li, Zhiqiang Li, Jiangchao Li, Hecheng Li, Yueping Li, Changkai Li, Zhenglong Li, Yajuan Li, Chaoqian Li, Yu-Cheng Li, Yirun Li, Haomiao Li, Qianqian Li, YiQing Li, Zhengliang Li, Weijie Li, Wei-Qin Li, Zongyi Li, Qingxian Li, Dan-Dan Li, Yeshan Li, Zirui Li, Keke Li, Yongpeng Li, Chanyuan Li, Jianbin Li, Shiying Li, Zhongzhe Li, Yumei Li, Xiang-Ping Li, Wenqiang Li, Pei-Shan Li, Zaibo Li, Guangming Li, Xiaoqiang Li, Hanxiao Li, Jiansheng Li, Shuying Li, Xiaomei Li, Pengjie Li, Jiajia Li, Jingwen Li
articles
Xiao-Huan Liu, Jin-Ting Zhou, Chun-Xia Yan +8 more · 2022 · Frontiers in immunology · Frontiers · added 2026-04-24
The liver immune microenvironment is a key element in the development of hepatic inflammation in NAFLD.
đź“„ PDF DOI: 10.3389/fimmu.2022.1038401
APOA4
Jiannan Li, Ruibin Wang, Qiang Chen +3 more · 2022 · Theriogenology · Elsevier · added 2026-04-24
An optimal lipid droplet (LD) content is essential for successful mammalian embryonic development. Salidroside (SAL) is a traditional Chinese medicine and one of the important active components of the Show more
An optimal lipid droplet (LD) content is essential for successful mammalian embryonic development. Salidroside (SAL) is a traditional Chinese medicine and one of the important active components of the Rhodiola plant. SAL possesses antioxidative, anti-aging, and cardiovascular properties. Here, we studied the effects of SAL on in vitro maturation (IVM) of porcine oocytes and the subsequent embryonic development after parthenogenetic activation (PA). We found that 100 μM of SAL had no effect on the extrusion rate of the first polar body of porcine oocytes but significantly improved the subsequent blastocyst formation rate and embryo quality. Our study further revealed that SAL treatment altered the morphology, increased the lipid content in oocytes, increased mitochondrial number. Further analysis revealed that SAL upregulated the expression of genes related to lipid metabolism (FASN, FADS1, HSL, and CPT1a) and the mitochondria function-related genes (PGC-1α). These results suggest that SAL supplementation enhances oocyte maturation and subsequent embryonic development by promoting lipid metabolism, providing the necessary energy for the aforementioned processes. Show less
no PDF DOI: 10.1016/j.theriogenology.2022.08.028
FADS1
Weilai Dong, Karen H Y Wong, Youbin Liu +19 more · 2022 · Journal of lipid research · Elsevier · added 2026-04-24
Low levels of high density lipoprotein-cholesterol (HDL-C) are associated with an elevated risk of arteriosclerotic coronary heart disease. Heritability of HDL-C levels is high. In this research disco Show more
Low levels of high density lipoprotein-cholesterol (HDL-C) are associated with an elevated risk of arteriosclerotic coronary heart disease. Heritability of HDL-C levels is high. In this research discovery study, we used whole-exome sequencing to identify damaging gene variants that may play significant roles in determining HDL-C levels. We studied 204 individuals with a mean HDL-C level of 27.8 ± 6.4 mg/dl (range: 4-36 mg/dl). Data were analyzed by statistical gene burden testing and by filtering against candidate gene lists. We found 120 occurrences of probably damaging variants (116 heterozygous; four homozygous) among 45 of 104 recognized HDL candidate genes. Those with the highest prevalence of damaging variants were ABCA1 (n = 20), STAB1 (n = 9), OSBPL1A (n = 8), CPS1 (n = 8), CD36 (n = 7), LRP1 (n = 6), ABCA8 (n = 6), GOT2 (n = 5), AMPD3 (n = 5), WWOX (n = 4), and IRS1 (n = 4). Binomial analysis for damaging missense or loss-of-function variants identified the ABCA1 and LDLR genes at genome-wide significance. In conclusion, whole-exome sequencing of individuals with low HDL-C showed the burden of damaging rare variants in the ABCA1 and LDLR genes is particularly high and revealed numerous occurrences in HDL candidate genes, including many genes identified in genome-wide association study reports. Many of these genes are involved in cancer biology, which accords with epidemiologic findings of the association of HDL deficiency with increased risk of cancer, thus presenting a new area of interest in HDL genomics. Show less
đź“„ PDF DOI: 10.1016/j.jlr.2022.100209
CPS1
Anyao Bi, Junyong Wu, Shuai Huang +6 more · 2022 · Biomaterials research · BioMed Central · added 2026-04-24
β-Secretase (BACE1) is the vital enzyme in the pathogenic processes of Alzheimer's disease (AD). However, the development of a powerful tool with sensitivity for BACE1 determination in vivo is a chall Show more
β-Secretase (BACE1) is the vital enzyme in the pathogenic processes of Alzheimer's disease (AD). However, the development of a powerful tool with sensitivity for BACE1 determination in vivo is a challenge. A novel NIR fluorescent probe HBAE was synthetized from 2-hydroxy-3-methylbenzaldehyde and 2-amino-benzenethiol by 5 steps. The fluorescence mechanism in the ESIPT systems of HBAE probe was insighted with time-dependent density functional theory (TD-DFT) at the TDPBE0 level with the def2-TZVP approach. The corresponding docking between HBAE and BACE1 (PDB: 5I3Y) was performed through the ducking method by DOCK6.8. Then the BBB permeability of HBAE is verified by transwell orifice plate. 22-month-old male AD-model (5XFAD) mice and age-matched wild-type mice were employed to observe the brain kinetics by intravenous injection. Finally, Immunohistochemistry was performed on the AD brain section to reveal the levels of BACE1 in hippocampus and cortex areas and other regions in AD mice through the brain tissue slices by HBAE. The NIR fluorescent probe HBAE was successfully applied in imaging BACE1 in AD model mice. The capability of HBAE in reflecting different level of BACE1 was performed by the specific imaging of the hippocampus region. We reported the first ESIPT near-infrared fluorescence probe HBAE for monitoring endogenous BACE1 in the AD live model mice, thus offering a versatile chemical tool for visualizing in the pathological processes of AD live brains. Remarkably, high resolution images showed the localization of red fluorescence stains in hippocampus of the AD brain. This study provides a promising way for functional insights from protein BACE1 in vivo. Show less
đź“„ PDF DOI: 10.1186/s40824-022-00320-3
BACE1
Lijie Wu, Jinku Li, Lili Ping +4 more · 2022 · Evidence-based complementary and alternative medicine : eCAM · 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
đź“„ PDF DOI: 10.1155/2022/4143101
IL27
Hua Liu, Chenyu Zong, Jiacheng Sun +7 more · 2022 · Translational pediatrics · added 2026-04-24
Osteosarcoma (OS) is a disease with high mortality in children and adolescents, and metastasis is one of its important clinical features. However, the molecular mechanism of OS occurrence is not compl Show more
Osteosarcoma (OS) is a disease with high mortality in children and adolescents, and metastasis is one of its important clinical features. However, the molecular mechanism of OS occurrence is not completely clear. Thus, we screened potential biomarkers of OS and analyze their prognostic value. The Cancer Genome Atlas (TCGA) datasets were used to analyze the differential lncRNAs in patients with OS of different immune score and the lncRNAs expressed by immune cells. Cox regression was used to develop the prognosis prediction model and specify the prognosis outcomes. Risk-proportional regression model was constructed, and the samples were divided into high and low groups based on the risk scores for the survival analysis. The areas under the receiver operating characteristic (ROC) curve were calculated and the risk-score model was verified. Finally, using 4 gene sets (comprising chemokines, immune checkpoint blockades, immune activity-related genes, and immune cells), and 4 analysis tools (CIBERSORT, TIMER, XCELL and MCP) to evaluated tumor immune infiltration. Twenty-nine long non-coding ribonucleic acids (lncRNAs) were obtained from the intersection of the screened lncRNAs. Caspase recruitment domain-containing protein 8-antisense RNA 1 (CARD8-AS1), lncRNA five prime to Xist (FTX), KAT8 regulatory NSL complex unit 1-antisense RNA 1 (KANSL1-AS1), Neuroplastin Intronic Transcript 1 (NPTN-IT1), oligodendrocyte maturation-associated long intervening non-coding RNA (OLMALINC) and RPARP Antisense RNA 1 (RPARP-AS1) were found to be correlated with survival. Univariate and multivariate regression analysis showed risk score [HR (hazard ratio) 3.5, P value 0.0043; HR 3.7, P value 0.0033] and metastasis (HR 4.7, P value 6.60E-05; HR 4.8, P value 8.36E-05) were the key factors of patients with OS. The areas under curves (AUCs) of the 1-, 3-, and 5-year ROC curves of the prognostic model were 0.715, 0.729, and 0.771. The low-risk patients tended to have a high abundance of immune cells. This study showed that a risk score based on 6 lncRNAs has potential value in the prognosis of OS, and patients with low-risk scores have high immune cell infiltration and good prognosis. This study may enrich understandings of underlying mechanisms related to the occurrence and development of OS. Show less
đź“„ PDF DOI: 10.21037/tp-22-253
KANSL1
Huiling Lai, Yunyun Guo, Liming Tian +8 more · 2022 · Cancers · MDPI · added 2026-04-24
Although ovarian cancer, a gynecological malignancy, has the highest fatality rate, it still lacks highly specific biomarkers, and the differential diagnosis of ovarian masses remains difficult to det Show more
Although ovarian cancer, a gynecological malignancy, has the highest fatality rate, it still lacks highly specific biomarkers, and the differential diagnosis of ovarian masses remains difficult to determine for gynecologists. Our study aimed to obtain ovarian cancer-specific protein candidates from the circulating small extracellular vesicles (sEVs) and develop a protein panel for ovarian cancer screening and differential diagnosis of ovarian masses. In our study, sEVs derived from the serum of healthy controls and patients with cystadenoma and ovarian cancer were investigated to obtain a cancer-specific proteomic profile. In a discovery cohort, 1119 proteins were identified, and significant differences in the protein profiles of EVs were observed among groups. Then, 23 differentially expressed proteins were assessed using the parallel reaction monitoring in a validation cohort. Through univariate and multivariate logistic regression analyses, a novel model comprising three proteins (fibrinogen gamma gene (FGG), mucin 16 (MUC16), and apolipoprotein (APOA4)) was established to screen patients with ovarian cancer. This model exhibited an area under the receiver operating characteristic curve (AUC) of 0.936 (95% CI, 0.888-0.984) with 92.0% sensitivity and 82.9% specificity. Another panel comprising serum CA125, sEV-APOA4, and sEV-CD5L showed excellent performance (AUC 0.945 (95% CI, 0.890-1.000), sensitivity of 88.0%, specificity of 93.3%, and accuracy of 89.2%) to distinguish malignancy from benign ovarian masses. Altogether, our study provided a proteomic signature of circulating sEVs in ovarian cancer. The diagnostic proteomic panel may complement current clinical diagnostic measures for screening ovarian cancer in the general population and the differential diagnosis of ovarian masses. Show less
đź“„ PDF DOI: 10.3390/cancers14153719
APOA4
Yue Fang, Xuan Li, Hao Cheng +2 more · 2022 · Journal of oncology · added 2026-04-24
Prior research has identified ANGPTL4 as a key player in the control of the body's lipid and glucose metabolism and a contributor to the onset of numerous cardiovascular conditions. Recently, it has b Show more
Prior research has identified ANGPTL4 as a key player in the control of the body's lipid and glucose metabolism and a contributor to the onset of numerous cardiovascular conditions. Recently, it has been shown that ANGPTL4 also plays a critical role in tumor growth and progression. Nowadays, the number of EGFR-TKI resistant patients is increasing, and it is important to investigate the role of ANGPTL4 in regulating gefitinib resistance in PC9/GR non-small-cell lung cancer (NSCLC). The expression of ANGPTL4 in A549, PC9, H1975, BEAS-2B and PC9/GR cells was verified by Western blot and qRT-PCR assays, and the effect of gefitinib on the proliferative ability of each cell was probed by CCK-8 assay. By using shRNA to inhibit ANGPTL4 expression in cells, the effect of ANGPTL4 on cell migratory ability was examined and the effect of ANGPTL4 on cellular gefitinib sensitivity was confirmed using the CCK-8 assay and the edu proliferation test. Mouse transplantation tumors were constructed, and the effect of ANGPTL4 on cellular gefitinib sensitivity was investigated in vivo by flow cytometry, Tunel staining assay, immunohistochemical staining, and ROS fluorescence staining assay. ANGPTL4 expression in homoRNA overexpression cells was constructed, and the changes in the expression levels of ASC\NLRP3\Caspase 8 pathway and focal and apoptotic proteins were investigated in vitro, in vivo, afterknockdown and overexpression of ANGPTL4 expression by Westen blot assay. ANGPTL4 was highly expressed in PC9/GR cells. Interfering with ANGPTL4 expression resulted in decreased proliferation and migration ability, decreased resistance to gefitinib, and increased scorching and apoptosis in PC9/GR cells. Interfering with ANGPTL4 expression in PC9/GR cells was shown to promote sensitivity to gefitinib and to mediate the NLRP3/ASC/Caspase 8 pathway to induce cell scorching and apoptosis. ANGPTL4 promotes gefitinib resistance in PC9/GR cells by regulating the NLRP3/ASC/Caspase 8 pathway to inhibit scorch death. ANGPTL4 may be an effective new target for inhibiting EGFR-TKI resistance in lung adenocarcinoma cells. Show less
đź“„ PDF DOI: 10.1155/2022/3623570
ANGPTL4
Guiping Wu, Zhenhui Li, Yun Zheng +4 more · 2022 · Poultry science · Elsevier · added 2026-04-24
The effects of cholamine, a raw material for synthesis of some active lipids, are unknown in poultry. To address this, 180 52-wk-old Hyline laying hens were randomly divided into 3 groups (20 replicat Show more
The effects of cholamine, a raw material for synthesis of some active lipids, are unknown in poultry. To address this, 180 52-wk-old Hyline laying hens were randomly divided into 3 groups (20 replicates per group with three hens per replicate). The control group and the treatment groups (treatment 1 and 2) were fed basal diet and the diet supplemented with 500 or 1,000 mg of cholamine per kilogram of the diet for 35 d, respectively. The data showed that supplementary cholamine significantly lowered egg production, daily feed intake, serum high-density lipoprotein cholesterol level, liver index, and the percentages of C15:0 and C20:0 in fatty acid composition of liver, significantly elevated hepatic triglyceride content, the ratio of villus height to crypt depth (P < 0.05), and the percentage of C18:2n-6 and the ratio of n-6 to n-3 polyunsaturated fatty acids in liver fat (P < 0.10). Moreover, supplementary cholamine altered the relative abundance of some intestinal bacteria with a decrease in the alpha biodiversity (P < 0.10). Additionally, transcriptome analysis on the livers of the treatment vs. the control groups identified 1,151 up- and 914 down-regulated differentially expressed genes (DEGs), and pathway analysis revealed that the suppressed Notch signaling pathway and the enhanced Oxidative phosphorylation pathway were enriched with DEGs. Particularly, fat absorption, transport and oxidative phosphorylation-related DEGs (e.g., FABP1, APOA4, and PCK1) were significantly induced, but fatty acid synthesis, and lipid package and secretion-related DEGs (e.g., FASN, SCD, and MTTP) were not. In conclusion, supplementary cholamine may lower egg production by promoting hepatic lipid deposition and reducing abundances of beneficial intestinal bacteria and microfloral biodiversity in laying hens. Show less
đź“„ PDF DOI: 10.1016/j.psj.2022.102084
APOA4
Xinjing Wang, Fang Liu, Yuan Cui +3 more · 2022 · Journal of agricultural and food chemistry · ACS Publications · added 2026-04-24
To investigate the potential contribution of appetite regulation and modulation of gut microbiota to the ameliorated effects of apple polyphenols extracts (APE) on high carbohydrate diet (HCD)-induced Show more
To investigate the potential contribution of appetite regulation and modulation of gut microbiota to the ameliorated effects of apple polyphenols extracts (APE) on high carbohydrate diet (HCD)-induced body weight (BW) gain, we conducted this study. One hundred C57BL/6 male mice were randomly divided into seven groups and fed with the following diets for 12 weeks: chow diet (CON), HCD (HCD), high fructose and sucrose diet (HSCD), and HCD and HSCD with 125 or 500 mg/kg·day APE gavage. Compared to the CON group, the BW of mice in the HCD and HSCD groups increased significantly. HSCD induced a more significant weight gain in the white adipose tissue (WAT) and liver than HCD, accompanied by severe impairment of glucose tolerance and a larger diameter of adipocytes. On the other hand, by decreasing food intake, APE significantly reduced BW Show less
no PDF DOI: 10.1021/acs.jafc.1c07258
MC4R
Tiantian Liu, Pengli Xu, Shaorui Ke +4 more · 2022 · Archives of biochemistry and biophysics · Elsevier · added 2026-04-24
The epithelial-mesenchymal transition (EMT) is an important pathological process in the occurrence of pulmonary fibrosis. Changes in histone methylation modifications of key genes play an important ro Show more
The epithelial-mesenchymal transition (EMT) is an important pathological process in the occurrence of pulmonary fibrosis. Changes in histone methylation modifications of key genes play an important role in this process. As a histone methyltransferase, the regulatory mechanism and role of SET domain bifurcated 1 (SETDB1) in pulmonary fibrosis remain unclear. We found that SETDB1 inhibited EMT and that cells attenuated the expression of SETDB1 to relieve this inhibition during transforming growth factor-β (TGF-β)-induced EMT. Silencing SETDB1 expression significantly enhanced the mesenchymal phenotype induced by TGF-β and the expression and deposition of fibronectin and significantly reduced the expression of E-cadherin. The decrease in E-cadherin expression and the induction of EMT led to increased lipid reactive oxygen species (ROS) and ferrous ions, which induced ferroptosis. Chromatin immunoprecipitation (ChIP) results showed that SETDB1 regulates the expression of Snai1 by catalyzing the histone H3 lysine 9 trimethylation (H3K9me3) of Snai1, the main transcription factor that initiates the process of EMT, and thus, indirectly regulates E-cadherin. Surprisingly, when examining the effect of overexpressed SETDB1 on EMT, we found that overexpressed SETDB1 alleviated EMT and also caused ferroptosis. We suggest that the overexpression of SETDB1 partially reverses the mesenchymal phenotype to an epithelial state, while those cells that fail to reverse are depleted by ferroptosis. In conclusion, the histone methylase SETDB1 regulates Snai1 epigenetically, driving EMT gene reprogramming and ferroptosis in response to TGF-β. However, there are unexplored links between the epigenetic reprogramming and transcriptional processes that regulate EMT in a TGF-β-dependent manner. Show less
no PDF DOI: 10.1016/j.abb.2021.109087
SNAI1
Chun-Yan Hu, Xuan Li, Tian Zeng +3 more · 2022 · Gene · Elsevier · added 2026-04-24
Diffuse large B-cell lymphoma (DLBCL) is the main pathological type of non-Hodgkin lymphoma (NHL). Chromobox (CBX) family proteins are classical components of polycomb group (PcG) complexes in many ca Show more
Diffuse large B-cell lymphoma (DLBCL) is the main pathological type of non-Hodgkin lymphoma (NHL). Chromobox (CBX) family proteins are classical components of polycomb group (PcG) complexes in many cancer types, resulting in accelerated carcinogenesis. Nevertheless, the prognostic, functional and expression significance of these CBX family members in DLBCL remain unclear and elusive. CBX transcriptional levels were confirmed using Oncomine, Gene Expression Profiling Interactive Analysis (GEPIA) and Cancer Cell Line Encyclopedia (CCLE) databases. The protein levels of CBX family members were analysed using The Human Protein Atlas (HPA) database. Information on the PPI network, functional enrichment, drug sensitivity, prognostic value, miRNA network, protein structure, genetic alteration and immune cell infiltration were generated using the GeneMANIA, Metascape, GSCALite, GEPIA, PDB, cBioPortal, and TIMER databases, and the correlation of these factors with CBX expression levels in DLBCL was assessed. CBX1/2/3/5/6/8 mRNA levels were significantly enhanced in DLBCL tissues compared to corresponding normal tissues. CBX1/3/4/5/8 protein expression levels were obviously increased, whereas CBX7 was obviously decreased. This difference might be attributed to miRNA regulation based on the miRNA network. Overall survival (OS) analysis showed that CBX levels were not correlated with prognosis in DLBCL patients, indicating that CBXs are not good biomarkers for DLBCL patients. Furthermore, functional enrichment analyses indicated that CBXs were closely related to DNA duplex unwinding, covalent chromatin modification, and histone lysine methylation. The levels of CBXs were also significantly associated with diverse immune cell infiltration in DLBCL. This study reveals that dysregulated CBXs are involved in DLBCL development and might represent potential therapeutic targets for DLBCL. Show less
no PDF DOI: 10.1016/j.gene.2021.146092
CBX1
Lulu Ni, Ping Sun, Min Ai +3 more · 2022 · Phytomedicine : international journal of phytotherapy and phytopharmacology · Elsevier · added 2026-04-24
Metastasis is the leading cause of death in patients with colorectal cancer (CRC). The 5-year survival rate of CRC patients in whom the cancer has spread to distant sites is 13.5%. The most common sit Show more
Metastasis is the leading cause of death in patients with colorectal cancer (CRC). The 5-year survival rate of CRC patients in whom the cancer has spread to distant sites is 13.5%. The most common sites of CRC metastasis are liver and lung. The principal therapies for CRC metastatic disease are surgery, but its benefits are limited. This study aimed to reveal the regulatory mechanism of berberine on secondary homing of CRC cells to form metastatic focus. This was more valuable than the previous direct study of the migration and metastasis characteristics of CRC cells. In this study, we used the functional enrichment analysis of differentially expressed genes after berberine treatment and investigated co-expression modules related with CRC metastasis by WGCNA. PPI and survival analyses of significant modules were also conducted. The biological functions of berberine in CRC lung and liver metastasis were investigated by a series of in vitro and in vivo experiments: MTT, colony formation and mouse tail vein injection. And we scanned through the entire extracellular domain of HEY2 protein for autodocking analysis with berberine. We found the differentially expressed genes (DEGs) after berberine treatment were related with cancer progression and metastasis related pathways. Through WGCNA analysis, four cancer progression and metastasis related modules were detected. After PPI and survival analysis, we identified and validated HEY2 as a hub gene, high expression and poor survival at the metastatic stage. Functionally, berberine inhibited the survival, invasion and migration of CRC cells in vitro and in vivo. Mechanistically, berberine treatment down-regulated the expression of HEY2, metastasis related protein E-cadherin, β-catenin and Cyclin D1 during Mesenchymal epithelial transformation (MET). Berberine and HEY2 showed a significant interaction, and berberine binded to HEY2 protein at the residue HIS-99 interface with a hydrogen-bond distance of 1.9A. We revealed that berberine could significantly inhibit the expression of hub gene HEY2 and metastasis related proteins E-cadherin and β-catenin and Cyclin D1 during MET in CRC lung and liver metastases. In total, HEY2 was a promising candidate biomarker for prognosis and molecular characteristics in CRC metastasis. Show less
no PDF DOI: 10.1016/j.phymed.2022.154303
HEY2
Ying Wang, Jun Liu, Chizuru Akatsu +18 more · 2022 · Proceedings of the National Academy of Sciences of the United States of America · National Academy of Sciences · added 2026-04-24
Elimination of autoreactive developing B cells is an important mechanism to prevent autoantibody production. However, how B cell receptor (BCR) signaling triggers apoptosis of immature B cells remains Show more
Elimination of autoreactive developing B cells is an important mechanism to prevent autoantibody production. However, how B cell receptor (BCR) signaling triggers apoptosis of immature B cells remains poorly understood. We show that BCR stimulation up-regulates the expression of the lysosomal-associated transmembrane protein 5 (LAPTM5), which in turn triggers apoptosis of immature B cells through two pathways. LAPTM5 causes BCR internalization, resulting in decreased phosphorylation of SYK and ERK. In addition, LAPTM5 targets the E3 ubiquitin ligase WWP2 for lysosomal degradation, resulting in the accumulation of its substrate PTEN. Elevated PTEN levels suppress AKT phosphorylation, leading to increased FOXO1 expression and up-regulation of the cell cycle inhibitor p27Kip1 and the proapoptotic molecule BIM. In vivo, LAPTM5 is involved in the elimination of autoreactive B cells and its deficiency exacerbates autoantibody production. Our results reveal a previously unidentified mechanism that contributes to immature B cell apoptosis and B cell tolerance. Show less
no PDF DOI: 10.1073/pnas.2205629119
WWP2
Song-Chao Li, Zhan-Kui Jia, Jin-Jian Yang +1 more · 2022 · Frontiers in immunology · Frontiers · added 2026-04-24
Kidney cancer is one of the most common urological cancers worldwide, and kidney renal clear cell cancer (KIRC) is the major histologic subtype. Our previous study found that von-Hippel Lindau (VHL) g Show more
Kidney cancer is one of the most common urological cancers worldwide, and kidney renal clear cell cancer (KIRC) is the major histologic subtype. Our previous study found that von-Hippel Lindau (VHL) gene mutation, the dominant reason for sporadic KIRC and hereditary kidney cancer-VHL syndrome, could affect VHL disease-related cancers development by inducing telomere shortening. However, the prognosis role of telomere-related genes in kidney cancer has not been well discussed. In this study, we obtained the telomere-related genes (TRGs) from TelNet. We obtained the clinical information and TRGs expression status of kidney cancer patients in The Cancer Genome Atlas (TCGA) database, The International Cancer Genome Consortium (ICGC) database, and the Clinical Proteomic Tumor Analysis Consortium (CPTAC) database. Totally 353 TRGs were differential between tumor and normal tissues in the TCGA-KIRC dataset. The total TCGA cohort was divided into discovery and validation TCGA cohorts and then using univariate cox regression, lasso regression, and multivariate cox regression method to conduct data analysis sequentially, ten TRGs (ISG15, RFC2, TRIM15, NEK6, PRKCQ, ATP1A1, ELOVL3, TUBB2B, PLCL1, NR1H3) risk model had been constructed finally. The kidney patients in the high TRGs risk group represented a worse outcome in the discovery TCGA cohort (p<0.001), and the result was validated by these four cohorts (validation TCGA cohort, total TCGA cohort, ICGC cohort, and CPTAC cohort). In addition, the TRGs risk score is an independent risk factor for kidney cancer in all these five cohorts. And the high TRGs risk group correlated with worse immune subtypes and higher tumor mutation burden in cancer tissues. In addition, the high TRGs risk group might benefit from receiving immune checkpoint inhibitors and targeted therapy agents. Moreover, the proteins NEK6, RF2, and ISG15 were upregulated in tumors both at the RNA and protein levels, while PLCL1 and PRKCQ were downregulated. The other five genes may display the contrary expression status at the RNA and protein levels. In conclusion, we have constructed a telomere-related genes risk model for predicting the outcomes of kidney cancer patients, and the model may be helpful in selecting treatment agents for kidney cancer patients. Show less
no PDF DOI: 10.3389/fimmu.2022.975057
NR1H3
Qingxiong Yu, Rehanguli Aimaier, Man-Hon Chung +4 more · 2022 · Pigment cell & melanoma research · Blackwell Publishing · added 2026-04-24
Treatments for giant congenital melanocytic nevi (GCMN) are extremely limited. Thus, there is an urgent need for development of relevant targeted therapies. However, current lack of preclinical cell m Show more
Treatments for giant congenital melanocytic nevi (GCMN) are extremely limited. Thus, there is an urgent need for development of relevant targeted therapies. However, current lack of preclinical cell models restricts progress in GCMN research. In this study, we aimed to establish and characterize an immortalized GCMN cell line. GCMN cells were successfully immortalized by means of lentivirus-mediated simian virus 40 large T transfection. The immortalized GNC cell line (ImGNC) showed lower proliferation rate and higher melanin content than primary melanocytes. Expression levels of the differentiation gene MITF and stemness genes TWIST1, SNAI1, and FOXD3 were elevated in ImGNCs; however, the established ImGNC cell line was immortalized but not transformed. Sanger sequencing detected the heterozygous NRAS Show less
no PDF DOI: 10.1111/pcmr.13033
SNAI1
Lingling Cai, Yanxing Wang, Xiangrong Peng +5 more · 2022 · ACS biomaterials science & engineering · ACS Publications · added 2026-04-24
Oral squamous cell carcinoma (OSCC) is the most common cancer in the oral and maxillofacial region. Due to the special physiological and anatomical position of the oral cavity, the disease often has a Show more
Oral squamous cell carcinoma (OSCC) is the most common cancer in the oral and maxillofacial region. Due to the special physiological and anatomical position of the oral cavity, the disease often has a significant impact on the chewing, swallowing, language, and breathing functions of patients. In recent years, with the development of medical molecular biology, molecular targeted therapy has received increasing clinical attention and has gradually become a new method for the treatment of malignant tumors. In this research, gold nanostars with a high photothermal effect combined with the searched targeted antibody were used for OSCC therapy. We use the data set in the public database and construct a gene co-expression module by weighted gene co-expression network analysis (WGCNA). It was found that the turquoise module and the midnight blue module had the greatest connection to tumorigenesis. Cytoscape software was used to analyze the important modules, and the top 10 genes of each module were selected; the survival analysis of the top 10 genes was carried out by gene expression profiling interactive analysis (GEPIA), which indicated that these genes (SERPINH1, MMP11, ADAM12, FADS3, SLC36A2, C1QTNF7, SCRG1, and APOBEC2) have statistical significance as key genes that are related to the tumorigenesis of OSCC. Then, the anti-SERPINH1 antibody targeted to SERPINH1 was chosen as the inhibitor and combined with gold nanostars for photothermal assisted targeted therapy. Thus, the searched key genes can be regarded as biomarkers and therapeutic targets for further precise diagnosis. Show less
no PDF DOI: 10.1021/acsbiomaterials.2c00276
FADS3
Xin Zhang, Yan Deng, Jiaming Ma +7 more · 2022 · Poultry science · Elsevier · added 2026-04-24
Fatty acid composition contributes greatly to the nutritional value of meat, and breeds/strains are important factors affecting the composition of fatty acid. Recently, few studies have focused on the Show more
Fatty acid composition contributes greatly to the nutritional value of meat, and breeds/strains are important factors affecting the composition of fatty acid. Recently, few studies have focused on the fatty acid composition in breast muscle of different duck breeds. Therefore, the objective of the present study was to compare the fatty acid composition and lipid metabolism-related genes expression in breast muscle of Jianchang duck (J), Cherry Verry duck (CV) and 3 crossbred strains (BH1, BH2 and MC♂ × (BGF2♂  × GF2♀)♀ (MBG)). Our results showed that the breast muscle of J had the highest contents of C22:1(n-9) but the lowest ratios of Ʃ-omega 6 (Ʃn-6)/Ʃ-omega 3 (Ʃn-3), Ʃ-mono-unsaturated fatty acid (ƩMUFA)/Ʃ-saturated fatty acid (ƩSFA) and Ʃ-polyunsaturated fatty acid (ƩPUFA)/ƩSFA. The ƩPUFA/ƩSFA ratio was higher in breast muscle of MBG than in that of BH2 and CV, and the contents of C22:1(n-9), ƩMUFA and ƩPUFA were higher in BH1 than in BH2 and CV. Furthermore, the mRNA levels of SCD1, FADS2, ELOVL2, and ELOVL5 were significantly higher in MBG (P < 0.05), while those of FASD1 and ACACA were significantly higher in BH1 than in BH2 and CV (P < 0.05). Principal component analysis showed that fatty acids variation exhibited extensive positive loading on principal components (PCs). Correlation analysis showed that PC1 and PC3 of BH1, as well as PC1 of MBG were correlated with the mRNA levels of ACACA and FABP3, respectively. Thus, it could be concluded that the breast muscles of MBG and BH1 have better fatty acid composition, which was closely related to the increased expression levels of SCD1, FADS2, ELOVL2, and ELOVL5 genes in MBG but FADS1 and ACACA in BH1. Moreover, these results also showed that crossbreeding could optimize the composition of fatty acid in breast muscle of ducks. Show less
đź“„ PDF DOI: 10.1016/j.psj.2022.101813
FADS1
Xinping Li, Jingyan Yang, Ruiqi Ni +5 more · 2022 · Cell death & disease · Nature · added 2026-04-24
Breast cancer is the most common malignancy among women across the globe. Recent studies have revealed that many long non-coding RNAs (lncRNAs) regulate the Wnt/β-catenin signaling pathway in several Show more
Breast cancer is the most common malignancy among women across the globe. Recent studies have revealed that many long non-coding RNAs (lncRNAs) regulate the Wnt/β-catenin signaling pathway in several types of cancer. Hyperactivation of the Wnt/β-catenin pathway has been extensively presented in breast cancer and is involved in breast cancer progression. However, the underlying molecular mechanism remains elusive. In the current study, we found lncRNA RBM5-AS1 was remarkably upregulated in breast cancer cells and tissues. Overexpression of RBM5-AS1 facilitated proliferation, migration, invasion, EMT, and stemness maintenance of breast cancer cells in vitro and in vivo. Mechanism studies suggested that RBM5-AS1 could be transcriptionally activated by hypoxia-induced RUNX2. Upregulated RBM5-AS1 further activated the Wnt/β-catenin signaling by preventing β-catenin degradation and by helping organize β-catenin-TCF4 transcriptional complex. These findings suggested that RBM5-AS1, a regulator of Wnt/β-catenin signaling, plays a vital role in breast cancer initiation and progression, implicating its potential as a new target for breast cancer treatment. Show less
đź“„ PDF DOI: 10.1038/s41419-022-04536-y
AXIN1
Xiaofei Yang, Zhenghao Li, Qingfa Wang +2 more · 2022 · Cardiology in the young · added 2026-04-24
This study aims to investigate the pathogenic gene variant in a family with hypertrophic cardiomyopathy by using whole-exome sequencing and to explore the relationship between the gene variant and cli Show more
This study aims to investigate the pathogenic gene variant in a family with hypertrophic cardiomyopathy by using whole-exome sequencing and to explore the relationship between the gene variant and clinical phenotype. Peripheral blood was collected from a family with hypertrophic cardiomyopathy, and deoxyribonucleic acid was extracted. The possible pathogenic genes were detected by whole-exome sequencing, and the variant was verified by Sanger sequencing. Functional change in the variant was predicted by bioinformatics software. Clinical data of the family members are analysed simultaneously. The proband carries a novel heterozygous nonsense variant of MYBPC3:c.2731G > T (p.E911X). The analysis of amino acid conservation suggests that the variation is highly conserved. The three-dimensional protein structure shows that the variant in MYBPC3 results in the incompleteness of the fibronectintype-III2 (p872-967) domain and deletion of Ig-like C2-type 6 (p971-1065) and fibronectin type-III 3 and Ig-like C2-type 7 (p1181-1274) domains, in which p1253-1268 is predicted to have a transmembrane helix structure. Clinical data indicate that the phenotypes of variant carriers with hypertrophic cardiomyopathy are diverse, suggesting the functional damages to the protein of MYBPC3. The phenotypes of variant carriers with hypertrophic cardiomyopathy caused by the novel variant in MYBPC3: c.2731G > T (p.E911X) exhibit variable severity and clinical manifestations. Whole-exome sequencing can be used to comprehensive screen hypertrophic cardiomyopathy genes and provide a strong basis for early screening and accurate diagnosis and treatment of hypertrophic cardiomyopathy in children. Show less
no PDF DOI: 10.1017/S1047951121002468
MYBPC3
Weili Yang, Pu Zhao, Ping Cao +5 more · 2022 · Journal of cellular biochemistry · Wiley · added 2026-04-24
Little is known about differentially expressed genes (DEGs) and alternative splicing (AS) landscapes in congenital lung malformations (CLMs). We applied reference-based assembly of sequencing reads fr Show more
Little is known about differentially expressed genes (DEGs) and alternative splicing (AS) landscapes in congenital lung malformations (CLMs). We applied reference-based assembly of sequencing reads from RNA sequencing (RNA-seq) libraries to identify DEGs and AS landscapes in the lesions and normal lung tissue from the most common types of CLMs, including congenital pulmonary airway malformation-â…  (CPAM-â… ), CPAM-â…ˇ, intralobar sequestration (ILS), and ILS with CPAM (ILS-CPAM). We analyzed the expression profiles and related biological functions of AS events (ASEs). We further constructed a co-expression regulatory network between RNA binding protein (RBP) genes and corresponding ASEs to explore the related pathways in the regulated network. Ten DEGs were identified in the four types of CLMs, including eight upregulated genes and two downregulated genes. Additionally, 16 differential ASEs were detected, including the genes MACF1, RFX2, and FBXL4. Gene ontology (GO) enrichment was mainly observed in embryonic visual malformation and apoptotic process, and the KEGG pathway mainly enriched in the PI3K/AKT signaling pathway. We also detected 13 differentially expressed RBPs among 1979 DEGs in CPAM-I, in which ASEs in the MACF1 gene and RBP genes TLR8 and PTRH1 were closely associated. Moreover, we confirmed that the expression levels of PTRH1, NSUN7, and DZIP1L abundantly increased and the expression levels of TLR8, MEF2A, and NIPBL decreased in the CPAM-I lung tissue compared with the controls. It is suggested that ASEs in different types of CLMs is prominently different from normal controls, and ASEs differences occurring in CPAM-I malformation tissue are dramatically different from other types, which demonstrates the complex pathogenesis of CLMs and provides foundations for future studies to elucidate the mechanisms of developing CLMs. Show less
no PDF DOI: 10.1002/jcb.30216
MACF1
Xiaojing Zheng, Chunlian Li, Xiang Gao · 2022 · International journal of molecular medicine · added 2026-04-24
Airway epithelial cell (AEC) dysfunction has been proven to be involved in the pathogenesis of asthma, which may be induced by the use of dexamethasone (Dex). The altered expression of microRNAs (miRN Show more
Airway epithelial cell (AEC) dysfunction has been proven to be involved in the pathogenesis of asthma, which may be induced by the use of dexamethasone (Dex). The altered expression of microRNAs (miRNAs/miRs) has been found in asthma. However, the detailed mechanisms responsible for the effects of miR‑375 on Dex‑induced AEC dysfunction remain elusive. Thus, the present study aimed to elucidate these mechanisms. Following treatment with Dex for 0, 6, 12 and 24 h, AEC viability, migration, invasion and apoptosis were examined using Cell Counting Kit‑8 (CCK‑8), wound healing and Transwell assays, and flow cytometry, respectively. The expression levels of miR‑375, dual specificity phosphatase 6 (DUSP6) and apoptosis‑related proteins (Bcl‑2, Bax, cleaved caspase‑3) were measured using reverse transcription‑quantitative polymerase chain reaction and western blot analysis. The target genes and potential binding sites of miR‑375 and DUSP6 were predicted using TargetScan and confirmed using dual‑luciferase reporter assay. The viability, migration, invasion and apoptosis of Dex‑treated AECs were further assessed with or without miR‑375 and DUSP6. In the AECs (9HTE cells), Dex treatment suppressed cell viability and miR‑375 expression, whereas it promoted cell apoptosis and the expression of DUSP6, the target gene of miR‑375. The overexpression of miR‑375 reversed the effects of Dex treatment on miR‑375 expression, cell viability, migration and invasion, and apoptosis‑related protein expression; in turn, these effects were reversed by the overexpression of DUSP6, with the exception of miR‑375 expression. On the whole, the present study demonstrates that the overexpression of miR‑375 counteracts the effects of Dex treatment on AEC viability, migration, invasion and apoptosis by targeting DUSP6. Thus, it was suggested that the downregulated expression of miR‑375 may be a therapeutic target for AEC dysfunction. Show less
đź“„ PDF DOI: 10.3892/ijmm.2022.5081
DUSP6
Yaodong Zhang, Zijian Ma, Changxian Li +15 more · 2022 · Nature communications · Nature · added 2026-04-24
Molecular variation between geographical populations and subtypes indicate potential genomic heterogeneity and novel genomic features within CCA. Here, we analyze exome-sequencing data of 87 perihilar Show more
Molecular variation between geographical populations and subtypes indicate potential genomic heterogeneity and novel genomic features within CCA. Here, we analyze exome-sequencing data of 87 perihilar cholangiocarcinoma (pCCA) and 261 intrahepatic cholangiocarcinoma (iCCA) cases from 3 Asian centers (including 43 pCCAs and 24 iCCAs from our center). iCCA tumours demonstrate a higher tumor mutation burden and copy number alteration burden (CNAB) than pCCA tumours, and high CNAB indicates a poorer pCCA prognosis. We identify 12 significantly mutated genes and 5 focal CNA regions, and demonstrate common mutations in post-transcriptional modification-related potential driver genes METTL14 and RBM10 in pCCA tumours. Finally we demonstrate the tumour-suppressive role of METTL14, a major RNA N6-adenosine methyltransferase (m6A), and illustrate that its loss-of-function mutation R298H may act through m6A modification on potential driver gene MACF1. Our results may be valuable for better understanding of how post-transcriptional modification can affect CCA development, and highlight both similarities and differences between pCCA and iCCA. Show less
đź“„ PDF DOI: 10.1038/s41467-022-30708-7
MACF1
Bo Jiang, Xiaozhi Zhao, Wei Chen +13 more · 2022 · Nature communications · Nature · added 2026-04-24
Organotropism during cancer metastasis occurs frequently but the underlying mechanism remains poorly understood. Here, we show that lysosomal protein transmembrane 5 (LAPTM5) promotes lung-specific me Show more
Organotropism during cancer metastasis occurs frequently but the underlying mechanism remains poorly understood. Here, we show that lysosomal protein transmembrane 5 (LAPTM5) promotes lung-specific metastasis in renal cancer. LAPTM5 sustains self-renewal and cancer stem cell-like traits of renal cancer cells by blocking the function of lung-derived bone morphogenetic proteins (BMPs). Mechanistic investigations showed that LAPTM5 recruits WWP2, which binds to the BMP receptor BMPR1A and mediates its lysosomal sorting, ubiquitination and ultimate degradation. BMPR1A expression was restored by the lysosomal inhibitor chloroquine. LAPTM5 expression could also serve as an independent predictor of lung metastasis in renal cancer. Lastly, elevation of LAPTM5 expression in lung metastases is a common phenomenon in multiple cancer types. Our results reveal a molecular mechanism underlying lung-specific metastasis and identify LAPTM5 as a potential therapeutic target for cancers with lung metastasis. Show less
no PDF DOI: 10.1038/s41467-022-31783-6
WWP2
Chenxi Pan, Nan Luo, Kun Guo +4 more · 2022 · Frontiers in genetics · Frontiers · added 2026-04-24
Liver cancer is the fifth most prevalent malignant tumor, while hepatocellular carcinoma represents the most prevalent subtype worldwide. Previous studies have associated the chromobox family, critica Show more
Liver cancer is the fifth most prevalent malignant tumor, while hepatocellular carcinoma represents the most prevalent subtype worldwide. Previous studies have associated the chromobox family, critical components of epigenetic regulatory complexes, with development of many malignancies owing to their role in inhibiting differentiation and promoting proliferation of cancer cells. However, little is known regarding their function in development and progression of hepatocellular carcinoma. In the present study, we analyzed differential expression, prognostic value, immune cell infiltration, and gene pathway enrichment of chromobox family in hepatocellular carcinoma patients. Next, we performed Pearson's correlation analysis to determine the relationships between chromobox family proteins with tumor-immune infiltration. Results revealed that high expression of CBX1, CBX2, CBX3, CBX6, and CBX8 was associated with poor survival rates of hepatocellular carcinoma patients. These five factors were used to build prognostic gene models using LASSO Cox regression analysis. Results indicated that high expression of CBX2 and CBX3 proteins was significantly associated with poor prognosis for hepatocellular carcinoma patients. The resulting nomogram revealed that CBX3 and T stages were significantly correlated with prognosis of hepatocellular carcinoma patients. Notably, predictive CBX3 was strongly correlated with immune cell infiltration. Furthermore, results from functional enrichment analysis revealed that CBX3 was mainly involved in regulation of methylation of Histone H3-K27. Collectively, these findings suggest that CBX3 could be a biomarker for predicting prognosis of hepatocellular carcinoma patients. Show less
đź“„ PDF DOI: 10.3389/fgene.2022.887925
CBX1
Yangyang Yang, Binggong Zhao, Linlin Lv +3 more · 2022 · Cell death discovery · Nature · added 2026-04-24
no PDF DOI: 10.1038/s41420-022-01265-1
SNAI1
Yating Sun, Dan Li, Hongmei Liu +5 more · 2022 · Cell death & disease · Nature · added 2026-04-24
Epigenetic alteration is a pivotal factor in tumor metastasis. PHD finger protein 13 (PHF13) is a recently identified epigenetic reader of H3K4me2/3 that functions as a transcriptional co-regulator. I Show more
Epigenetic alteration is a pivotal factor in tumor metastasis. PHD finger protein 13 (PHF13) is a recently identified epigenetic reader of H3K4me2/3 that functions as a transcriptional co-regulator. In this study, we demonstrate that PHF13 is required for pancreatic-cancer-cell growth and metastasis. Integrative analysis of transcriptome and epigenetic profiles provide further mechanistic insights into the epigenetic regulation of genes associated with cell metastasis during the epithelial-to-mesenchymal transition (EMT) induced by transforming growth factor β (TGFβ). Our data suggest PHF13 depletion impairs activation of TGFβ stimulated genes and correlates with a loss of active epigenetic marks (H3K4me3 and H3K27ac) at these genomic regions. These observations argue for a dependency of TGFβ target activation on PHF13. Furthermore, PHF13-dependent chromatin regions are enriched in broad H3K4me3 domains and super-enhancers, which control genes critical to cancer-cell migration and invasion, such as SNAI1 and SOX9. Overall, our data indicate a functional and mechanistic correlation between PHF13 and EMT. Show less
no PDF DOI: 10.1038/s41419-022-04940-4
SNAI1
Zhou Zhu, Liang-Feng Liu, Cheng-Fu Su +15 more · 2022 · Acta pharmacologica Sinica · Nature · added 2026-04-24
Increasing evidence shows that autophagy impairment is involved in the pathogenesis and progression of neurodegenerative diseases including Parkinson's disease (PD). We previously identified a natural Show more
Increasing evidence shows that autophagy impairment is involved in the pathogenesis and progression of neurodegenerative diseases including Parkinson's disease (PD). We previously identified a natural alkaloid named corynoxine B (Cory B) as a neuronal autophagy inducer. However, its brain permeability is relatively low, which hinders its potential use in treating PD. Thus we synthesized various derivatives of Cory B to find more potent autophagy inducers with improved brain bioavailability. In this study, we evaluated the autophagy-enhancing effect of CB6 derivative and its neuroprotective action against PD in vitro and in vivo. We showed that CB6 (5-40 μM) dose-dependently accelerated autophagy flux in cultured N2a neural cells through activating the PIK3C3 complex and promoting PI3P production. In MPP Show less
no PDF DOI: 10.1038/s41401-022-00871-0
PIK3C3
Yueping Qiu, Jincheng Wang, Hui Li +4 more · 2022 · Autophagy · Taylor & Francis · added 2026-04-24
Macroautophagy/autophagy is a highly conserved process in eukaryotic cells. It plays a critical role in cellular homeostasis by delivering cytoplasmic cargos to lysosomes for selective degradation. OP Show more
Macroautophagy/autophagy is a highly conserved process in eukaryotic cells. It plays a critical role in cellular homeostasis by delivering cytoplasmic cargos to lysosomes for selective degradation. OPTN (optineurin), a well-recognized autophagy receptor, has received considerable attention due to its multiple roles in the autophagic process. OPTN is associated with many human disorders that are closely related to autophagy, such as rheumatoid arthritis, osteoporosis, and nephropathy. Here, we review the function of OPTN as an autophagy receptor at different stages of autophagy, focusing on cargo recognition, autophagosome formation, autophagosome maturation, and lysosomal quality control. OPTN tends to be protective in most autophagy associated diseases, though the molecular mechanism of OPTN regulation in these diseases is not well understood. A comprehensive review of the function of OPTN in autophagy provides valuable insight into the pathogenesis of human diseases related to OPTN and facilitates the discovery of potential key regulators and novel therapeutic targets for disease intervention in patients with autophagic diseases. Show less
no PDF DOI: 10.1080/15548627.2021.1908722
PIK3C3
Kuan Hu, Lei Yao, Lei Zhou +1 more · 2022 · International journal of general medicine · added 2026-04-24
The Chromobox (CBX) family members were involved in a variety of physiological and oncological processes through the regulation of the epigenetic modification of chromatin. However, the comprehensive Show more
The Chromobox (CBX) family members were involved in a variety of physiological and oncological processes through the regulation of the epigenetic modification of chromatin. However, the comprehensive analysis of the CBX family in head and neck squamous cell carcinoma (HNSC) is lacking. In this work, we used multiple online databases and tools to investigate the roles of CBX family in aspects of gene expression, prognostic evaluation, genetic alteration, immune micro-environment of tumor, and status of methylation. The mRNA expression levels of CBX1, CBX3, and CBX5 were aberrantly increased in patients with HNSC, while CBX7 was aberrantly decreased. Higher expression of CBX7 was significantly associated with longer OS. Within the 5-11% of genetic alteration rate of CBXs, CBX3 ranked the highest and CBX5/7 ranked the lowest. SPRR1B, S100A7, CASP14, CDSN, LCE3D were the top 5 neighbor genes with the strongest association with CBXs in HNSC patients. Signaling pathways such as epidermal cell differentiation, cornification, and peptide cross-linking were demonstrated to have a strong association with CBX genes. The profiles of immune cell infiltration had high similarity for the group of HNSC patients stratified by expression of CBXs. The methylation levels of CBX1 and CBX5 significantly decreased, while that of CBX7 significantly increased in HNSC samples when compared with normal tissue. In conclusion, the CBX family showed its valuation for further investigation in HNSC. Our research highlighted that CBX7 had the potential to be a novel diagnostic and prognostic biomarker for patients with HNSC. Show less
đź“„ PDF DOI: 10.2147/IJGM.S350783
CBX1