👤 Jia Zhou

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Also published as: Aiping Zhou, Aiwu Zhou, Alicia Y Zhou, An Zhou, Ang Zhou, Anna Y Zhou, Annan Zhou, Ao Zhou, Aojia Zhou, Aoshuang Zhou, Apei Zhou, Baiwan Zhou, Bao-Sen Zhou, Baohua Zhou, Baojuan Zhou, Baosen Zhou, Beixian Zhou, Beiyi Zhou, Bin Zhou, Bincheng Zhou, Bing Zhou, Bingbing Zhou, Binghai Zhou, Bingqian Zhou, Bingqing Zhou, Bingying Zhou, Binhua P Zhou, Binhua Zhou, Birong Zhou, Bo Zhou, Bo-Ya Zhou, Bo-Yang Zhou, Bubo Zhou, C Zhou, C-J Zhou, Can Zhou, Carl Zhou, Cefan Zhou, Chang Zhou, Chang-Yin Zhou, Changfan Zhou, Changhua Zhou, Changqi Zhou, Changrui Zhou, Changshuai Zhou, Changwen Zhou, Chao Zhou, Chen-Hui Zhou, Chen-Liang Zhou, Chenchen Zhou, Cheng Zhou, Chengji J Zhou, Chenhao Zhou, Chenkang Zhou, Chenqi Zhou, Chenxia Zhou, Chong Zhou, Chong-zhi Zhou, Chongwei Zhou, ChuHuan Zhou, Chuan-Min Zhou, Chuan-Wei Zhou, Chuan-Xiang Zhou, Chuan-chuan Zhou, Chuanen Zhou, Chuanman Zhou, Chuhao Zhou, Chun-Man Zhou, Chun-Ni Zhou, Chunlei Zhou, Chunlin Zhou, Chunni Zhou, Chunxian Zhou, Chunxiu Zhou, Chunyu Zhou, Chunzhuang Zhou, Chuyu Zhou, Cui Zhou, Cuiqi Zhou, Da Zhou, Daijun Zhou, Daizhan Zhou, Dan Zhou, Danmei Zhou, Danxia Zhou, Dao Zhou, David Zhou, Dawei Zhou, Daxin Zhou, Degang Zhou, Dejun Zhou, Dezheng Zhou, Dingan Zhou, Dingzi Zhou, Dong-Sheng Zhou, Dongdong Zhou, Donger Zhou, Dongfang Zhou, Donghai Zhou, Dongjie Zhou, Dongmei Zhou, Dongsheng Zhou, Duanfang Zhou, Duo-Qi Zhou, Duoqi Zhou, Enchen Zhou, Ershun Zhou, F Zhou, Fachen Zhou, Fan Zhou, Fanfan Zhou, Fang Zhou, Fangfang Zhou, Fangli Zhou, Fangting Zhou, Fei Zhou, Feixue Zhou, Feiye Zhou, Feng Zhou, Feng-Quan Zhou, Fenghua Zhou, Fengrui Zhou, Fengyun Zhou, Fenling Zhou, Fu-Ling Zhou, Fude Zhou, Fuling Zhou, Fusheng Zhou, Fuxiang Zhou, Fuyou Zhou, G Zhou, Gang Zhou, Grace Guoying Zhou, Guangji Zhou, Guangjun Zhou, Guangming Zhou, Guangqian Zhou, Guangzhou Zhou, Gui-Feng Zhou, Guifeng Zhou, Guiju Zhou, Guili Zhou, Guiting Zhou, Guo Zhou, Guo-Kun Zhou, Guohong Zhou, Guohua Zhou, Guoli Zhou, Guoyu Zhou, Guyue Zhou, H Zhou, Haibo Zhou, Haihong Zhou, Haihua Zhou, Haijing Zhou, Haimei Zhou, Hairui Zhou, Haixu Zhou, Haiyan Zhou, Haiyuan Zhou, Haiyue Zhou, Han Zhou, Hang Zhou, Hang-Yu Zhou, Hangfan Zhou, Hanshen Zhou, Hanxiao Zhou, Hao Zhou, Hao-Min Zhou, Haobo Zhou, Haonan Zhou, Haoxiong Zhou, Haoyuan Zhou, He Zhou, Helen Zhou, HengCui Zhou, Heying Zhou, Hong Zhou, Hong-Yu Zhou, Honghong Zhou, Hongji Zhou, Honglei Zhou, Hongli Zhou, Hongmei Zhou, Hongmin Zhou, Hongshan Zhou, Hongwei Zhou, Hongwen Zhou, Hongyan Zhou, Hou-De Zhou, Hu Zhou, Hua Ying Zhou, Hua Zhou, Hua-Bang Zhou, Huadong Zhou, Huaijun Zhou, Huamao Zhou, Huan Zhou, Huangao Zhou, Huanjin Zhou, Huanyu Zhou, Huaqiang Zhou, Hui Zhou, Hui-Fen Zhou, Huifang Zhou, Huifen Zhou, Huihui Zhou, Huimin Zhou, Huinian Zhou, Huiqiang Zhou, Huiwen Zhou, J Zhou, Jeff Xiwu Zhou, Ji Zhou, Ji-Chao Zhou, Ji-Ying Zhou, Jia-Guo Zhou, Jia-le Zhou, Jiahe Zhou, Jiahua Zhou, Jiajie Zhou, Jiale Zhou, Jiamei Zhou, Jian Zhou, Jian-Peng Zhou, JianJiang Zhou, Jianan Zhou, Jianfen Zhou, Jianfeng Zhou, Jiang-Ning Zhou, Jiangfei Zhou, Jianghao Zhou, Jianghong Zhou, Jianghui Zhou, Jianglin Zhou, Jiangqiao Zhou, Jianguo Zhou, Jianhua Zhou, Jianling Zhou, Jianmin Zhou, Jianqing Zhou, Jianshe Zhou, Jianwei Zhou, Jianying Zhou, Jianzhong Zhou, Jiaqi Zhou, Jiaru Zhou, Jiawang Zhou, Jiawei Zhou, Jiawen Zhou, Jiaxi Zhou, Jiaxiang Zhou, Jiaxin Zhou, Jiayan Zhou, Jiayi Zhou, Jiayin Zhou, Jie Zhou, Jiechao Zhou, Jiefu Zhou, Jieru Zhou, Jieyan Zhou, Jieyu Zhou, Jin Zhou, Jin-Ting Zhou, Jin-Yong Zhou, JinQiu Zhou, Jing Zhou, Jing-Wei Zhou, Jing-Xuan Zhou, Jingbo Zhou, Jingjie Zhou, Jingjing Zhou, Jingjun Zhou, Jingpei Zhou, Jingqi Zhou, Jingwen Zhou, Jingyi Zhou, Jingyu Zhou, Jingyuan Zhou, Jinting Zhou, Jinyi Zhou, Jiuyao Zhou, Jiyong Zhou, John Zhou, Ju Zhou, Juan Zhou, Juanjuan Zhou, Jue-Yu Zhou, Julian Q Zhou, Jun Zhou, Jun-Min Zhou, Jun-Ying Zhou, Jun-Yu Zhou, Jundong Zhou, Junfeng Zhou, Jungu Zhou, Junguo Zhou, Junhe Zhou, Junjie Zhou, Junjun Zhou, Junting Zhou, Junya Zhou, Junyu Zhou, Justin Zhou, Juying Zhou, Kaicheng Zhou, Kaixia Zhou, Kaixin Zhou, Kaiyu Zhou, Kan Zhou, Ke Zhou, Kecheng Zhou, Kefu Zhou, Kejin Zhou, Kexun Zhou, Lamei Zhou, Lan Zhou, Lang Zhou, Lanlan Zhou, Lanping Zhou, Lanqi Zhou, Laura Y Zhou, Le Zhou, Lei Zhou, Lei-Lei Zhou, Li Zhou, Li-Jun Zhou, Liang Zhou, Liangdong Zhou, Liangfu Zhou, Liangrui Zhou, Liangxue Zhou, Liangyu Zhou, Libin Zhou, Libing Zhou, Libo Zhou, Liche Zhou, Lihong Zhou, Lihuan Zhou, Lijun Zhou, Lili Zhou, Limin Zhou, Lin Zhou, Lina Zhou, Linda Zhou, Ling Zhou, Ling-Yun Zhou, Linglin Zhou, Lingshan Zhou, Lingyi Zhou, Lingyun Zhou, Linjun Zhou, Linnan Zhou, Linran Zhou, Lipeng Zhou, Liqun Zhou, Lisha Zhou, Lisheng Zhou, Liting Zhou, Liufang Zhou, Liuqing Zhou, Liuxin Zhou, Lixin Zhou, Liye Zhou, Long Zhou, Lu Zhou, Lufang Zhou, Luling Zhou, Luming Zhou, Lunni Zhou, Luo-Qi Zhou, Luting Zhou, M M Zhou, Maoge Zhou, Maotian Zhou, Mei Zhou, Meijing Zhou, Meilan Zhou, Meiqi Zhou, Meirong Zhou, Meiyi Zhou, Meng-Tao Zhou, Meng-Yao Zhou, Menghua Zhou, Mengkai Zhou, Menglong Zhou, Mengna Zhou, Mengqi Zhou, Mengqian Zhou, Mengze Zhou, Mi Zhou, Miao Zhou, Min Zhou, Ming Zhou, Ming-Ju Zhou, Ming-Ming Zhou, Ming-Sheng Zhou, Mingfeng Zhou, Minglei Zhou, Minglian Zhou, Mingmei Zhou, Mingming Zhou, Mingping Zhou, Mingqi Zhou, Minling Zhou, Minyi Zhou, Molin Zhou, Na Zhou, Nan Zhou, Neng Zhou, Ni Zhou, Nian Zhou, Nianwei Zhou, Ning Zhou, Ningying Zhou, Niuniu Zhou, P Zhou, Pei Zhou, Peng Zhou, Penghui Zhou, Pijun Zhou, Ping Zhou, Ping-Kun Zhou, Pingkun Zhou, Pingxi Zhou, Pingxin Zhou, Puhui Zhou, Q Zhou, Qi Zhou, Qian Zhou, Qiang Zhou, Qianxin Zhou, Qiao Zhou, Qiaoxia Zhou, Qidong Zhou, Qin Zhou, Qin-Yi Zhou, Qing Zhou, Qing-Bing Zhou, Qing-Qing Zhou, Qingbing Zhou, Qingbo Zhou, Qingchun Zhou, Qinghua Zhou, Qingniao Zhou, Qingnv Zhou, Qingping Zhou, Qingtong Zhou, Qingxin Zhou, Qingyu Zhou, Qiong Zhou, Qiu-Min Zhou, Qiu-Zhi Zhou, Qiyang Zhou, Qiyin Zhou, Quan Zhou, Qun Zhou, R B Zhou, Ranran Zhou, Raorao Zhou, Ren Zhou, Rong Zhou, Rong-Yan Zhou, Rongbin Zhou, Rongjia Zhou, Rongxian Zhou, Rongxuan Zhou, Rongyan Zhou, Rouxi Zhou, Ru Zhou, Ruchen Zhou, Rui Zhou, Ruihai Zhou, Ruijun Zhou, Ruimei Zhou, Ruisi Zhou, Runjin Zhou, Ruyi Zhou, S A Zhou, S R Zhou, S Zhou, S-G Zhou, Sa Zhou, Sanshun Zhou, Sha Zhou, Shanshan Zhou, Shao-Lai Zhou, Shaobo Zhou, Shaoli Zhou, Shaolong Zhou, Sheng-Nan Zhou, Shenghua Zhou, Shenghui Zhou, Shengwen Zhou, Shengyang Zhou, Shengyi Zhou, Shenping Zhou, Shiao Zhou, Shibo Zhou, Shiyi Zhou, Shu Zhou, Shuaishuai Zhou, Shuaiyang Zhou, Shuang Zhou, Shuling Zhou, Shumin Zhou, Shun Zhou, Shuo Zhou, Si Zhou, Si-Qi Zhou, Siquan Zhou, Sirui Zhou, Song Zhou, Songhui Zhou, Sufang Zhou, Sumei Zhou, Suqing Zhou, Suzhen Zhou, T Zhou, Tai-Cheng Zhou, Taimei Zhou, Tao Zhou, Tengxiao Zhou, Ti Zhou, Tian-Li Zhou, Tianhua Zhou, Tianqiong Zhou, Tianrong Zhou, Tianxing Zhou, Tianyan Zhou, Tianyu Zhou, Tiger Zhou, Ting Zhou, Tingting Zhou, Tong Zhou, Vincent Zhou, W Zhou, Wan-hao Zhou, Wang Zhou, Wei Zhou, Weihua Zhou, Weihui Zhou, Weijiao Zhou, Weijie Zhou, Weiming Zhou, Weinan Zhou, Weiqiang Zhou, Weishang Zhou, Weiwei Zhou, Weiying Zhou, Wen Zhou, Wen-Chao Zhou, Wen-Hao Zhou, Wen-Jie Zhou, Wen-Quan Zhou, Wenbin Zhou, Wenbo Zhou, Wenchao Zhou, Wenfang Zhou, Wenhao Zhou, Wenjie Zhou, Wenjing Zhou, Wenke Zhou, Wenqing Zhou, Wenrong Zhou, Wenwen Zhou, Wenxing Zhou, Wenyu Zhou, Wenzong Zhou, Wesley Zhou, Wu Zhou, Wuduo Zhou, Wuyuan Zhou, X F Zhou, X Q Zhou, X-T Zhou, Xi Zhou, Xia Zhou, Xia-Bo Zhou, Xiang Zhou, Xiangda Zhou, Xiangdong Zhou, Xianghai Zhou, Xiangrong Zhou, Xianguo Zhou, Xiangyu Zhou, Xiangyuan Zhou, Xianhu Zhou, Xianhua Zhou, Xianhui Zhou, Xianjing Zhou, Xianliang Zhou, Xianxiao Zhou, Xiao Zhou, Xiao-Hai Zhou, Xiao-Ting Zhou, Xiao-Yu Zhou, Xiaobo Zhou, Xiaochuan Zhou, Xiaochun Zhou, Xiaofeng Zhou, Xiaohai Zhou, Xiaohan Zhou, Xiaohui Zhou, Xiaojing Zhou, Xiaolei Zhou, Xiaoli Zhou, Xiaolin Zhou, Xiaoling Zhou, Xiaomao Zhou, Xiaoming Zhou, Xiaonan Zhou, Xiaopu Zhou, Xiaoqian Zhou, Xiaorong Zhou, Xiaorui Zhou, Xiaoshu Zhou, Xiaosu Zhou, Xiaotong Zhou, Xiaowen Zhou, Xiaoxi Zhou, Xiaoxia Zhou, Xiaoxue Zhou, Xiaoyan Zhou, Xiaoye Zhou, Xiaoying Zhou, Xiaozhong Zhou, Xidan Zhou, Xin Tong Zhou, Xin Zhou, Xin-Rong Zhou, Xin-Yu Zhou, Xin-Yue Zhou, Xingtao Zhou, Xinhong Zhou, Xinhua Zhou, Xinming Zhou, Xinyan Zhou, Xinyao Zhou, Xinyi Zhou, Xinyue Zhou, Xinzhi Zhou, Xiqiu Zhou, Xiu-Ping Zhou, Xiuhong Zhou, Xiuling Zhou, Xiuping Zhou, Xiuteng Zhou, Xiyi Zhou, Xu Yu Zhou, Xu Zhou, Xu-Hua Zhou, Xuan Zhou, Xuanchen Zhou, Xuchang Zhou, Xue Dong Zhou, Xue Zhou, Xue-Yan Zhou, Xuedong Zhou, Xuefeng Zhou, Xuejie Zhou, Xueli Zhou, Xueliang Zhou, Xueqin Zhou, Xueqing Zhou, Xueshi Zhou, Xujie Zhou, Xun Zhou, Xuyu Zhou, Y J Zhou, Y Zhou, Y-L Zhou, Yachuan Zhou, Yadi Zhou, Yahui Zhou, Yajun Zhou, Yan Zhou, Yan-Yan Zhou, Yanbing Zhou, Yandong Zhou, Yanfen Zhou, Yang Zhou, Yangbo Zhou, Yangying Zhou, Yanhao Zhou, Yanheng Zhou, Yanhua Zhou, Yanjiao Zhou, Yanjie Zhou, Yanli Zhou, Yanling Zhou, Yanmeng Zhou, Yanqiu Zhou, Yanrong Zhou, Yanyi Zhou, Yao Zhou, Yaping Zhou, Yaqi Zhou, Yating Zhou, Yeyun Zhou, Yi Zhou, Yi-Hui Zhou, Yi-Jiang Zhou, Yichao Zhou, Yidan Zhou, Yifa Zhou, Yifeng Zhou, Yinan Zhou, Ying Zhou, Ying-Hui Zhou, Yinghui Zhou, Yingjie Zhou, Yingmin Zhou, Yingshi Zhou, Yiqing Zhou, Yitian Zhou, Yong Zhou, Yong-Gang Zhou, Yong-Hui Zhou, Yong-an Zhou, Yongbing Zhou, Yongcan Zhou, Yonghua Zhou, Yongjian Zhou, Yongqiang Zhou, Yongtao Zhou, Yongxin Zhou, Yongzhi Zhou, You Lang Zhou, You Zhou, You-Li Zhou, Youping Zhou, Yu Zhou, Yu-Bao Zhou, Yu-Ning Zhou, Yu-Qi Zhou, Yuan Zhou, Yuanyuan Zhou, Yubin Zhou, Yudong Zhou, Yue Zhou, Yueping Zhou, Yuetao Zhou, Yufei Zhou, Yuhan Zhou, Yuhuan Zhou, Yujia Zhou, Yujie Zhou, Yun Zhou, Yun-Fei Zhou, Yun-Tao Zhou, Yunfang Zhou, Yunfeng Zhou, Yunhui Zhou, Yunqian Zhou, Yunxia Zhou, Yunxiang Zhou, Yunyun Zhou, Yunzhen Zhou, Yuqi Zhou, Yuqiao Zhou, Yuqing Zhou, Yuqiu Zhou, Yushan Zhou, Yuting Zhou, Yutong Zhou, Yuxin Zhou, Yuzhi Zhou, Zechen Zhou, Zefeng Zhou, Zenghui Zhou, Zengyuan Zhou, Zengzi Zhou, Zewei Zhou, Zhan Zhou, Zhaokai Zhou, Zhechong Zhou, Zhen Zhou, Zheng Zhou, Zheng-Jun Zhou, Zheng-Yang Zhou, Zhengyang Zhou, Zhengzhong Zhou, Zhenhua Zhou, Zhenlei Zhou, Zhenying Zhou, Zhenyu Zhou, Zheyi Zhou, Zhi Dong Zhou, Zhi Zhou, Zhi-Dong Zhou, Zhi-Gang Zhou, Zhi-Hang Zhou, Zhi-Jiao Zhou, Zhi-Xiang Zhou, Zhi-Yong Zhou, Zhibo Zhou, Zhicheng Zhou, Zhifeng Zhou, Zhiguang Zhou, Zhihang Zhou, Zhihao Zhou, Zhiheng Zhou, Zhihui Zhou, Zhijiao Zhou, Zhijun Zhou, Zhimin Zhou, Zhipeng Zhou, Zhiqin Zhou, Zhiqun Zhou, Zhiwei Zhou, Zhixiang Zhou, Zhiyi Zhou, Zhiyong Zhou, Zhiyu Zhou, Zhongbo Zhou, Zhongjiang Zhou, Zhongkai Zhou, Zhongqiu Zhou, Zhongtao Zhou, Zhongxing Zhou, Zhongyin Zhou, Zhou Zhou, Zhu Zhou, Zhuoming Zhou, Zi-Yang Zhou, Zi-Yi Zhou, Zihan Zhou, Zihao Zhou, Zihua Zhou, Zijun Zhou, Zili Zhou, Ziliang Zhou, Zilin Zhou, Zilong Zhou, Zipeng Zhou, Ziqing Zhou, Ziwei Zhou, Ziyan Zhou, Ziyue Zhou, Ziyun Zhou, Zongkai Zhou, Zunchun Zhou, Zuomin Zhou, Zuoqiong Zhou, Zuping Zhou
articles
Xiaolei Zhai, Qianhe Han, Zhongjie Shan +3 more · 2014 · Molecular medicine reports · added 2026-04-24
Dual specificity phosphatase 6 (DUSP6) is expressed at low levels in numerous types of human cancer. The loss of DUSP6 plays a pivotal role in tumor progression; however, the role of DUSP6 in prostate Show more
Dual specificity phosphatase 6 (DUSP6) is expressed at low levels in numerous types of human cancer. The loss of DUSP6 plays a pivotal role in tumor progression; however, the role of DUSP6 in prostate cancer remains unclear. In this study, in vitro invasion assays and in vivo metastasis experiments were used to investigate the effects of DUSP6 on prostate cancer cell invasion and metastasis. Furthermore, in vitro growth and soft agar assays and in vivo growth experiments were performed to determine the function of DUSP6 in cell proliferation. The results showed that the overexpression of DUSP6 suppressed the invasion and growth of DU‑145 human prostate cancer cells, whereas knockdown of DUSP6 promoted the invasion and proliferation of LNCap human prostate adenocarcinoma cells. Further experiments demonstrated that the overexpression of DUSP6 inhibited the proliferation and liver metastasis of DU‑145 cells in mice. In addition, DUSP6 downregulated the expression of matrix metallopeptidase 3 and interleukin 8 in prostate cancer cells. Taken together, these findings indicate that DUSP6 may act as a negative mediator in the regulation of prostate cancer cell growth and metastasis. Show less
no PDF DOI: 10.3892/mmr.2014.2575
DUSP6
Peidong Han, Xiao-Hai Zhou, Nannan Chang +13 more · 2014 · Cell research · Nature · added 2026-04-24
While the adult human heart has very limited regenerative potential, the adult zebrafish heart can fully regenerate after 20% ventricular resection. Although previous reports suggest that developmenta Show more
While the adult human heart has very limited regenerative potential, the adult zebrafish heart can fully regenerate after 20% ventricular resection. Although previous reports suggest that developmental signaling pathways such as FGF and PDGF are reused in adult heart regeneration, the underlying intracellular mechanisms remain largely unknown. Here we show that H2O2 acts as a novel epicardial and myocardial signal to prime the heart for regeneration in adult zebrafish. Live imaging of intact hearts revealed highly localized H2O2 (~30 μM) production in the epicardium and adjacent compact myocardium at the resection site. Decreasing H2O2 formation with the Duox inhibitors diphenyleneiodonium (DPI) or apocynin, or scavenging H2O2 by catalase overexpression markedly impaired cardiac regeneration while exogenous H2O2 rescued the inhibitory effects of DPI on cardiac regeneration, indicating that H2O2 is an essential and sufficient signal in this process. Mechanistically, elevated H2O2 destabilized the redox-sensitive phosphatase Dusp6 and hence increased the phosphorylation of Erk1/2. The Dusp6 inhibitor BCI achieved similar pro-regenerative effects while transgenic overexpression of dusp6 impaired cardiac regeneration. H2O2 plays a dual role in recruiting immune cells and promoting heart regeneration through two relatively independent pathways. We conclude that H2O2 potentially generated from Duox/Nox2 promotes heart regeneration in zebrafish by unleashing MAP kinase signaling through a derepression mechanism involving Dusp6. Show less
no PDF DOI: 10.1038/cr.2014.108
DUSP6
Guiyuan Li, Shengming Yi, Fan Yang +4 more · 2014 · Thoracic cancer · Blackwell Publishing · added 2026-04-24
To identify mutant genes with high-frequency-risk-expression between lung adenocarcinoma and normal samples. The ribonucleic acid RNA-Seq data GSE34914 and GSE37765 were downloaded from the Gene Expre Show more
To identify mutant genes with high-frequency-risk-expression between lung adenocarcinoma and normal samples. The ribonucleic acid RNA-Seq data GSE34914 and GSE37765 were downloaded from the Gene Expression Omnibus database, including 12 lung adenocarcinoma samples and six controls. All RNA-Seq reads were processed and the gene-expression level was calculated. Single nucleotide variation (SNV) was analyzed and the locations of mutant sites were recorded. In addition, the frequency and risk-level of mutant genes were calculated. Gene Ontology (GO) functional analysis was performed. The reported cancer genes were searched in tumor suppressor genes, Cancer Genes, and the Catalogue of Somatic Mutations in Cancer (COSMIC) database. The SNV annotations of somatic mutation sites showed that 70% of mutation sites in the exon region occurred in the coding sequence (CDS). Thyroid hormone receptor interactor (TRIP)12 was identified with the highest frequency. A total of 118 mutant genes with high frequency and high-risk were selected and significantly enriched into several GO terms. No base mutation of cyclin C (CCNC) or RAB11A was recorded. At fragments per kilobase per million reads (FPKM) ≥ 56.5, reported tumor suppressor genes catenin (cadherin-associated protein), delta (CTNND)1, dual specificity phosphatase (DUSP)6, malate dehydrogenase (MDH)1 and RNA binding motif protein (RBM)5, were identified. Notably, signal transducer and activator of transcription 2 (STAT2) was the only transcription factor (TF) with high-risk mutation and its expression was detected. For the mutant genes with high-frequency-risk-expression, CTNND1, DUSP6, MDH1 and RBM5 were identified. TRIP12 might be a potential cancer-related gene, and expression of TF STAT2 with high-risk was detected. These mutant gene candidates might promote the development of lung adenocarcinoma and provide new diagnostic potential targets for treatment. Show less
no PDF DOI: 10.1111/1759-7714.12080
DUSP6
Honglei Zhou, Isidore Rigoutsos · 2014 · Oncoscience · Impact Journals · added 2026-04-24
The 'Retinoic Acid-Inducible G-protein-coupled receptors' or RAIG are a group comprising the four orphan receptors GPRC5A, GPRC5B, GPRC5C and GPRC5D. As the name implies, their expression is induced b Show more
The 'Retinoic Acid-Inducible G-protein-coupled receptors' or RAIG are a group comprising the four orphan receptors GPRC5A, GPRC5B, GPRC5C and GPRC5D. As the name implies, their expression is induced by retinoic acid but beyond that very little is known about their function. In recent years, one member, GPRC5A, has been receiving increasing attention as it was shown to play important roles in human cancers. As a matter of fact, dysregulation of GPRC5A has been associated with several cancers including lung cancer, breast cancer, colorectal cancer, and pancreatic cancer. Here we review the current state of knowledge about the heterogeneity and evolution of GPRC5A, its regulation, its molecular functions, and its involvement in human disease. Show less
📄 PDF DOI: 10.18632/oncoscience.104
GPRC5B
Zhong Liu, Yanrui Song, Dan Li +10 more · 2014 · Journal of medical genetics · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) is a primary disorder characterised by asymmetric thickening of septum and left ventricular wall, with a prevalence of 0.2% in the general population. To describe a n Show more
Hypertrophic cardiomyopathy (HCM) is a primary disorder characterised by asymmetric thickening of septum and left ventricular wall, with a prevalence of 0.2% in the general population. To describe a novel mitochondrial DNA mutation and its association with the pathogenesis of HCM. All maternal members of a Chinese family with maternally transmitted HCM exhibited variable severity and age at onset, and were implanted permanent pacemakers due to complete atrioventricular block (AVB). Nuclear gene screening (MYH7, MYBPC3, TNNT2 and TNNI3) was performed, and no potential pathogenic mutation was identified. Mitochondrial DNA sequencing analysis identified a novel homoplasmic 16S rRNA 2336T>C mutation. This mutation was exclusively present in maternal members and absent in non-maternal members. Conservation index by comparison to 16 other vertebrates was 94.1%. This mutation disturbs the 2336U-A2438 base pair in the stem-loop structure of 16S rRNA domain III, which is involved in the assembly of mitochondrial ribosome. Oxygen consumption rate of the lymphoblastoid cells carrying 2336T>C mutation had decreased by 37% compared with controls. A reduction in mitochondrial ATP synthesis and an increase in reactive oxidative species production were also observed. Electron microscopic analysis indicated elongated mitochondria and abnormal mitochondrial cristae shape in mutant cells. It is suggested that the 2336T>C mutation is one of pathogenic mutations of HCM. This is the first report of mitochondrial 16S rRNA 2336T>C mutation and an association with maternally inherited HCM combined with AVB. Our findings provide a new insight into the pathogenesis of HCM. Show less
no PDF DOI: 10.1136/jmedgenet-2013-101818
MYBPC3
Yunhe Fu, Ershun Zhou, Zhengkai Wei +4 more · 2014 · Biochemical pharmacology · Elsevier · added 2026-04-24
Cyanidin-3-O-β-glucoside (C3G), a typical anthocyanin pigment that exists in the human diet, has been reported to have anti-inflammatory properties. The aim of this study was to detect the effect of C Show more
Cyanidin-3-O-β-glucoside (C3G), a typical anthocyanin pigment that exists in the human diet, has been reported to have anti-inflammatory properties. The aim of this study was to detect the effect of C3G on LPS-induced acute lung injury and to investigate the molecular mechanisms. Acute lung injury was induced by intratracheal administration of LPS in mice. Alveolar macrophages from mice were stimulated with LPS and were treated with C3G. Our results showed that C3G attenuated lung histopathologic changes, myeloperoxidase (MPO) activity, TNF-α, IL-1β and IL-6 production in LPS-induced acute lung injury model. In vitro, C3G dose-dependently inhibited TNF-α, IL-1β, IL-6, IL-10 and IFN-β production, as well as NF-κB and IRF3 activation in LPS-stimulated alveolar macrophages. Furthermore, C3G disrupted the formation of lipid rafts by depleting cholesterol and inhibited TLR4 translocation into lipid rafts. Moreover, C3G activated LXRα-ABCG1-dependent cholesterol efflux. Knockout of LXRα abrogated the anti-inflammatory effects of C3G. In conclusion, C3G has a protective effect on LPS-induced acute lung injury. The promising anti-inflammatory mechanisms of C3G is associated with up-regulation of the LXRα-ABCG1 pathway which result in disrupting lipid rafts by depleting cholesterol and reducing translocation of TLR4 to lipid rafts, thereby suppressing TLR4 mediated inflammatory response. Show less
no PDF DOI: 10.1016/j.bcp.2014.05.004
NR1H3
Limei Zhong, Quan Yang, Wen Xie +1 more · 2014 · Molecular immunology · Elsevier · added 2026-04-24
Liver X receptors (LXRs) are nuclear receptors that play an essential role in lipid and cholesterol metabolism. Emerging studies indicate a potential function for LXRs in regulating dendritic cell (DC Show more
Liver X receptors (LXRs) are nuclear receptors that play an essential role in lipid and cholesterol metabolism. Emerging studies indicate a potential function for LXRs in regulating dendritic cell (DC)-dependent immune responses; however, the role of LXRs in DC differentiation is largely unknown. Here, we report that LXRα regulates the differentiation of mouse GM-CSF-derived DCs. Activation or overexpression of LXRα significantly enhanced myeloid DC differentiation from mouse bone marrow (BM) cells, while siRNA-mediated knockdown of LXRα suppressed DC differentiation. In addition, we demonstrated that LXR agonist-programmed DCs showed an increased capacity for stimulating T-cell proliferation. Mechanistic studies showed that activation of LXR could inhibit the phosphorylation of STAT3 and downregulate the expression of its target, S100A9, an important negative regulator of myeloid DC differentiation. We also found that Histone deacetylase (HDAC) inhibition interfered with the effect of LXR on STAT3 signaling via acetylation of STAT3. Chromatin immunoprecipitation assays confirmed that LXR activation and HDAC inhibition balanced the recruitment of STAT3 to the S100A9 promoter, which involved distinct post-translational modifications of STAT3. In conclusion, our observations demonstrated a novel role for LXRα in GM-CSF-derived DC differentiation and revealed the underlying mechanism. Show less
no PDF DOI: 10.1016/j.molimm.2014.03.006
NR1H3
Yun-Fei Zhou, Jing Zhang, Zong-Xue Li +6 more · 2014 · Lipids in health and disease · BioMed Central · added 2026-04-24
To explore the relationship between the liver X receptor α gene (LXRα) rsl2221497 polymorphism and the susceptibility of coronary heart disease (CHD) and serum lipids and glucose levels. The single fl Show more
To explore the relationship between the liver X receptor α gene (LXRα) rsl2221497 polymorphism and the susceptibility of coronary heart disease (CHD) and serum lipids and glucose levels. The single fluorescently labeled probes technique was used to detect the genotype of rsl2221497 in LXRα gene in 240 CHD patients and 250 healthy control subjects. The difference of genotype distribution between the two groups was analyzed using of Chi-square test. The serum lipids and glucose levels between the different genotypes were also compared. The risk of CHD in carriers with (AA + GA) genotype was 1.76 times as that in the GG genotype carriers (OR = 1.76, 95% CI: 1.18-2.87, P <0.05), and the risk of CHD in carriers with A allele increased 0.88 times compared to that in G allele carriers (OR = 1.88, 95% CI:1.21-3.43, P <0.01). Logistic regression analysis showed that after adjusting for other confounding factors, A allele was an independent risk for CHD. However, there were no differences in serum lipids and glucose levels between each genotype. The rsl2221497 polymorphism in LXRα gene was associated with susceptibility of CHD in Han population. Show less
no PDF DOI: 10.1186/1476-511X-13-34
NR1H3
Xiehua Xue, Tong Chen, Wei Wei +3 more · 2014 · International journal of molecular medicine · added 2026-04-24
The liver X receptor α (LXRα)/ATP-binding cassette transporter A1 (ABCA1) pathway and LXR-modulated cytokines play an important role in macrophages which mediate lipid engulfment and the inflammatory Show more
The liver X receptor α (LXRα)/ATP-binding cassette transporter A1 (ABCA1) pathway and LXR-modulated cytokines play an important role in macrophages which mediate lipid engulfment and the inflammatory response, and participate in the process of atherosclerosis. Therefore, lipid-lowering and anti-inflammatory therapy through the activation of the LXRα/ABCA1 pathway and LXRα-modulated cytokines may prove to be one of the main treatment strategies for atherosclerosis. Alisma Decoction (AD) has long been used in China to clinically treat cardiovascular and cerebral diseases; however, the precise mechanisms involved remain to be elucidated. In the present study, we evaluated the regulation of lipids and the anti-inflammatory effects exerted by AD and investigated the underlying molecular mechanisms using oxidized low-density lipoprotein (ox-LDL)-stimulated foam cells derived from rat peritoneal macrophages. We first found that AD markedly relieved lipid deposition in foam cells as it increased LXRα and ABCA1 expression and decreased the ox-LDL-induced expression of inflammatory cytokines, such as matrix metalloproteinase-9 and interleukin-1β. Collectively, our findings suggest that blocking lipid deposition and inhibiting inflammatory response through the activation of the LXRα pathway may be one of the main mechanisms through which AD exerts its anti-atherosclerotic effects. Show less
no PDF DOI: 10.3892/ijmm.2014.1646
NR1H3
Huan Wang, Yan Liu, Ling Zhu +6 more · 2014 · International journal of molecular medicine · added 2026-04-24
Estrogen has pleiotropic effects on the cardiovascular diseases, yet the underlying mechanisms remain incompletely understood. Cholesterol efflux is a key mechanism through which to prevent foam cell Show more
Estrogen has pleiotropic effects on the cardiovascular diseases, yet the underlying mechanisms remain incompletely understood. Cholesterol efflux is a key mechanism through which to prevent foam cell formation and the development of atherosclerosis. Recent studies highlight the role of vascular smooth muscle cell (VSMC)-derived foam cells in atherogenesis. However, it remains unclear whether estrogen promotes cholesterol efflux from VSMCs and inhibits VSMC-derived foam cell formation. In the present study, we demonstrated that 17β-estradiol (E2) markedly enhanced cholesterol efflux to apolipoprotein (apo)A-1 and high-density lipoprotein (HDL) and attenuated oxidized low-density lipoprotein (ox-LDL) induced cholesteryl ester accumulation in VSMCs, which was associated with an increase in the expression of ATP-binding cassette transporters ABCA1 and ABCG1. The upregulation of ABCA1 and ABCG1 expression by E2 resulted from liver X receptor (LXR)α activation, which was confirmed by the prevention of the expression of ABCA1 and ABCG1 after inhibition of LXRα with a pharmacological inhibitor or small interfering RNA (siRNA). Furthermore, E2 increased LXRα, ABCA1 and ABCG1 expression in VSMCs via the estrogen receptor (ER), and the involvement of ERβ was confirmed by the use of selective ERα or ERβ antagonists (MPP and PHTPP) and agonists (PPT and DPN). These findings suggest that E2 promotes cholesterol efflux from VSMCs and reduces VSMC-derived foam cell formation via ERβ- and LXRα-dependent upregulation of ABCA1 and ABCG1 and provide novel insights into the anti-atherogenic properties of estrogen. Show less
no PDF DOI: 10.3892/ijmm.2014.1619
NR1H3
C Hu, D Liu, Y Zhang +10 more · 2014 · Oncogene · Nature · added 2026-04-24
Liver X receptors (LXRs), including LXRα and LXRβ isoforms, have important roles in the metabolic regulation of glucose, cholesterol and lipid. Moreover, activation of LXRs also represses the expressi Show more
Liver X receptors (LXRs), including LXRα and LXRβ isoforms, have important roles in the metabolic regulation of glucose, cholesterol and lipid. Moreover, activation of LXRs also represses the expression of cyclin D1 and cyclin B1, and thus suppresses the proliferation of multiple cancer cells, but the relevant mechanism is not well known. Forkhead box M1 (FOXM1) is a proliferation-specific member of forkhead box family, which is highly expressed in proliferating normal cells and numerous cancer cells. FOXM1 directly activates transcription of cyclin D1 and cyclin B1, resulting in the enhancement of cell cycle progression and cell proliferation. However, it is unclear whether LXRs are involved in the regulation of FOXM1. In this study, we demonstrated that specific LXRs agonists downregulated expression of FOXM1, cyclin D1 and cyclin B1 in hepatocellular carcinoma (HCC) cells, which led to cell cycle and cell proliferation arrest. Knockdown of FOXM1 significantly alleviated LXRs activation-mediated cell cycle arrest and cell growth suppression. Reporter assays showed that the activation of LXRs significantly reduced the transcriptional activity of FOXM1 promoter. Electrophoretic mobility shift assay and chromatin immunoprecipitation assays demonstrated that LXRα but not LXRβ could bind to an inverted repeat IR2 (-52CCGTCAcgTGACCT-39) in the promoter region of FOXM1 gene. Moreover, the xenograft tumor growth and the corresponding FOXM1 expression in nude mice were dramatically repressed by LXRs agonists. Taken together, we conclude that LXRα but not LXRβ functions as a transcriptional repressor for FOXM1 expression. The pathway 'LXRα-FOXM1-cyclin D1/cyclin B1' is a novel mechanism by which LXRs suppress the proliferation of HCC cells, suggesting that the pathway may be a novel target for HCC treatment. Show less
no PDF DOI: 10.1038/onc.2013.250
NR1H3
Ian Blumenthal, Ashok Ragavendran, Serkan Erdin +12 more · 2014 · American journal of human genetics · Elsevier · added 2026-04-24
Reciprocal copy-number variation (CNV) of a 593 kb region of 16p11.2 is a common genetic cause of autism spectrum disorder (ASD), yet it is not completely penetrant and can manifest in a wide array of Show more
Reciprocal copy-number variation (CNV) of a 593 kb region of 16p11.2 is a common genetic cause of autism spectrum disorder (ASD), yet it is not completely penetrant and can manifest in a wide array of phenotypes. To explore its molecular consequences, we performed RNA sequencing of cerebral cortex from mouse models with CNV of the syntenic 7qF3 region and lymphoblast lines from 34 members of 7 multiplex ASD-affected families harboring the 16p11.2 CNV. Expression of all genes in the CNV region correlated well with their DNA copy number, with no evidence of dosage compensation. We observed effects on gene expression outside the CNV region, including apparent positional effects in cis and in trans at genomic segments with evidence of physical interaction in Hi-C chromosome conformation data. One of the most significant positional effects was telomeric to the 16p11.2 CNV and includes the previously described "distal" 16p11.2 microdeletion. Overall, 16p11.2 CNV was associated with altered expression of genes and networks that converge on multiple hypotheses of ASD pathogenesis, including synaptic function (e.g., NRXN1, NRXN3), chromatin modification (e.g., CHD8, EHMT1, MECP2), transcriptional regulation (e.g., TCF4, SATB2), and intellectual disability (e.g., FMR1, CEP290). However, there were differences between tissues and species, with the strongest effects being consistently within the CNV region itself. Our analyses suggest that through a combination of indirect regulatory effects and direct effects on nuclear architecture, alteration of 16p11.2 genes disrupts expression networks that involve other genes and pathways known to contribute to ASD, suggesting an overlap in mechanisms of pathogenesis. Show less
no PDF DOI: 10.1016/j.ajhg.2014.05.004
NRXN3
Xiaomu Kong, Xuelian Zhang, Qi Zhao +20 more · 2014 · PloS one · PLOS · added 2026-04-24
Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contr Show more
Obesity is a well-known risk factor for type 2 diabetes. Genome-wide association studies have identified a number of genetic loci associated with obesity. The aim of this study is to examine the contribution of obesity-related genomic loci to type 2 diabetes in a Chinese population. We successfully genotyped 18 obesity-related single nucleotide polymorphisms among 5338 type 2 diabetic patients and 4663 controls. Both individual and joint effects of these single nucleotide polymorphisms on type 2 diabetes and quantitative glycemic traits (assessing β-cell function and insulin resistance) were analyzed using logistic and linear regression models, respectively. Two single nucleotide polymorphisms near MC4R and GNPDA2 genes were significantly associated with type 2 diabetes before adjusting for body mass index and waist circumference (OR (95% CI) = 1.14 (1.06, 1.22) for the A allele of rs12970134, P = 4.75×10(-4); OR (95% CI) = 1.10 (1.03, 1.17) for the G allele of rs10938397, P = 4.54×10(-3)). When body mass index and waist circumference were further adjusted, the association of MC4R with type 2 diabetes remained significant (P = 1.81×10(-2)) and that of GNPDA2 was attenuated (P = 1.26×10(-1)), suggesting the effect of the locus including GNPDA2 on type 2 diabetes may be mediated through obesity. Single nucleotide polymorphism rs2260000 within BAT2 was significantly associated with type 2 diabetes after adjusting for body mass index and waist circumference (P = 1.04×10(-2)). In addition, four single nucleotide polymorphisms (near or within SEC16B, BDNF, MAF and PRL genes) showed significant associations with quantitative glycemic traits in controls even after adjusting for body mass index and waist circumference (all P values<0.05). This study indicates that obesity-related genomic loci were associated with type 2 diabetes and glycemic traits in the Han Chinese population. Show less
no PDF DOI: 10.1371/journal.pone.0104486
SEC16B
Jianqing Zhou, Limin Xu, Rong Stephanie Huang +10 more · 2013 · Molecular medicine reports · added 2026-04-24
Previous studies have shown that apolipoprotein A5 (APOA5) gene variants are genetic determinants of the concentration of triglycerides, which are a known risk factor for coronary heart disease (CHD). Show more
Previous studies have shown that apolipoprotein A5 (APOA5) gene variants are genetic determinants of the concentration of triglycerides, which are a known risk factor for coronary heart disease (CHD). Using the standardized coronary angiography method, 290 CHD patients and 198 non‑CHD controls were recruited from Ningbo Lihuili Hospital. In addition, 331 unrelated healthy volunteers were recruited as healthy controls from Ningbo Ximen Community residents. Three variants of the APOA5 gene, S19W, ‑1131T>C and 553G>T, were analyzed for their association with CHD. Under a dominant inheritance model, ‑1131CT>C was shown to be a CHD risk factor (P=0.030; OR, 1.422; 95% CI, 1.036‑1.952). The single nucleotide polymorphism, 553G>T, was found to correlate with the severity of CHD in males (P=0.032). Meta‑analysis showed that ‑1131T>C was significantly associated with CHD (P<0.0001). By contrast, negative correlations with CHD were observed for S19W and 553G>T. In the present case‑control study, APOA5 gene variants were not found to correlate with the risk of CHD in the populations studied; however, ‑1131CT>C was shown to be a CHD risk factor under a dominant inheritance model. Meta‑analysis showed a significant contribution of ‑1131T>C to the risk of CHD, implying an ethnic difference in APOA5 gene variants. Show less
📄 PDF DOI: 10.3892/mmr.2013.1642
APOA5
Yan-Yan Li, Xiao-Yan Wu, Jian Xu +3 more · 2013 · Molecular biology reports · Springer · added 2026-04-24
The Apolipoprotein A5 (APO A5) -1131T/C, fibrinogen β (FgB) -455G/A, -148C/T, and cholesteryl ester transfer protein (CETP) TaqIB gene polymorphisms have been indicated to be associated with the coron Show more
The Apolipoprotein A5 (APO A5) -1131T/C, fibrinogen β (FgB) -455G/A, -148C/T, and cholesteryl ester transfer protein (CETP) TaqIB gene polymorphisms have been indicated to be associated with the coronary artery disease (CAD) risk, but the individual study results are still inconsistent. To explore the relationship between APO A5 -1131T/C, FgB -455G/A, -148C/T, and CETP TaqIB gene polymorphisms and CAD in the Chinese population, the current meta-analysis involving 15,055 subjects from 40 individual studies was conducted. The pooled odds ratio (OR) for the association between APO A5 -1131T/C, FgB -455G/A, -148C/T, and CETP TaqIB gene polymorphisms and CAD and its corresponding 95 % confidence interval (95 % CI) were evaluated by random or fixed effect model. A significant association between APO A5 -1131T/C gene polymorphism and CAD in the Chinese population was found under an allelic (OR: 1.33, 95 % CI: 1.22-1.44, P < 0.00001), recessive (OR: 1.67, 95 % CI: 1.25-2.25, P = 0.0006), dominant (OR: 0.820, 95 % CI: 0.767-0.876, P = 1.0 × 10(-10)), homozygous (OR: 2.36, 95 % CI: 1.55-3.58, P < 0.0001) and heterozygous genetic models (OR: 1.136, 95 % CI:1.075-1.200, P = 1.0 × 10(-10)). A significant association between FgB -455G/A gene polymorphism and CAD was also detected in the Chinese population under an allelic (OR: 1.50, 95 % CI: 1.25-1.81, P < 0.0001), dominant (OR: 0.864, 95 % CI: 0.819-0.912, P = 1.0 × 10(-10)), homozygous (OR: 1.616, 95 % CI: 1.213-2.152, P = 0.001) and heterozygous genetic models (OR: 1.245, 95 % CI:1.138-1.361, P = 1.0 × 10(-10)). No significant association was found between them under a recessive genetic model (OR: 1.124, 95 % CI: 0.844-1.497, P = 0.424). A significant association was also found between FgB -148C/T gene polymorphism and CAD in the Chinese population under an allelic (OR: 1.34, 95 % CI: 1.06-1.71, P = 0.02), recessive (OR: 1. 65, 95 % CI: 1.02-2.69, P = 0.04), dominant (OR: 0.924, 95 % CI: 0.872-0.978, P = 0.007) and homozygous genetic models (OR: 0.968, 95 % CI: 0.942-0.995, P = 0.018). No significant association was found between them under a heterozygous genetic model (OR: 0.979, 95 % CI: 0.937-1.023, P = 0.342). In the whole Chinese population, no significant association between the CETP TaqIB gene polymorphism and CAD was found under an allelic (OR: 1.17, 95 % CI: 0.94-1.45, P = 0.15), dominant (OR: 1.46, 95 % CI: 0.80-2.67, P = 0.22) or recessive genetic models (OR: 0.68, 95 % CI: 0.32-1.44, P = 0.31). However, in the subgroup analysis stratified by ethnicity, there was a significant association between them under an allelic (OR: 1.27, 95 % CI: 1.07-1.52, P = 0.007) and dominant genetic model (OR: 2.04, 95 % CI: 1.49-2.79, P < 0.00001) in the Han subgroup. In the Chinese population, the APO A5 -1131T/C and FgB -455G/A, -148C/T gene polymorphisms were implied to be associated with CAD susceptibility. The APO A5 -1131C, FgB -455A, and -148T alleles might confer susceptibility to CAD. CETP TaqIB gene polymorphism was suggested to be associated with CAD susceptibility in the Chinese Han population. Carriers with B1 allele of CETP TaqIB gene might be predisposed to CAD in the Chinese Han population. Show less
no PDF DOI: 10.1007/s11033-012-2257-9
APOA5
W-M Yao, H-F Zhang, Z-Y Zhu +11 more · 2013 · Journal of human hypertension · Nature · added 2026-04-24
Elevated levels of circulating triglycerides and increased arterial stiffness are associated with cardiovascular disease. Numerous studies have reported an association between levels of circulating tr Show more
Elevated levels of circulating triglycerides and increased arterial stiffness are associated with cardiovascular disease. Numerous studies have reported an association between levels of circulating triglycerides and arterial stiffness. We used Mendelian randomization to test whether this association is causal. We investigated the association between circulating triglyceride levels, the apolipoprotein A-V (ApoA5) -1131T>C single nucleotide polymorphism and brachial-ankle pulse wave velocity (baPWV) by examining data from 4421 subjects aged 18-74 years who were recruited from the Chinese population. baPWV was significantly associated with the levels of circulating triglycerides after adjusting for age, sex, body mass index (BMI), systolic blood pressure, heart rate, waist-to-hip ratio, antihypertensive treatment and diabetes mellitus status. The -1131C allele was associated with a 5% (95% confidence interval 3-8%) increase in circulating triglycerides (adjusted for age, sex, BMI, waist-to-hip ratio, diabetes mellitus and antihypertensive treatment). Instrumental variable analysis showed that genetically elevated levels of circulating triglycerides were not associated with increased baPWV. These results do not support the hypothesis that levels of circulating triglycerides have a causal role in the development of arterial stiffness. Show less
no PDF DOI: 10.1038/jhh.2012.23
APOA5
Xingyuan Jia, Rui Huang, Zhen Lei +7 more · 2013 · Experimental and molecular pathology · Elsevier · added 2026-04-24
α-Thalassemia is an inherited autosomal recessive disorder. It is one of the most common monogenic abnormalities known in the world and is prevalent in tropical and subtropical regions. α-Thalassemia Show more
α-Thalassemia is an inherited autosomal recessive disorder. It is one of the most common monogenic abnormalities known in the world and is prevalent in tropical and subtropical regions. α-Thalassemia is more frequently caused by deletional type than non-deletional type. Recently, we identified a novel large deletional type of α-thalassemia named --(FZ)/αα from a family in South China. Multiplex ligation-dependent probe amplification was used for diagnosing the carrier and prenatal diagnosing for a fetus. Real-time PCR was employed for characterizing the deletion breakpoints and the deletional segment was determined as 300 kb in length extending from the telomere to AXIN1 gene on the short arm of chromosome 16. The carriers in the family members were detected by real-time PCR using designed primers. Show less
no PDF DOI: 10.1016/j.yexmp.2013.05.007
AXIN1
Dan Xu, Fu Yang, Ji-hang Yuan +6 more · 2013 · Hepatology (Baltimore, Md.) · Wiley · added 2026-04-24
In recent years, long noncoding RNAs (lncRNAs) have been investigated as a new class of regulators of biological function. A recent study reported that lncRNAs control cell proliferation in hepatocell Show more
In recent years, long noncoding RNAs (lncRNAs) have been investigated as a new class of regulators of biological function. A recent study reported that lncRNAs control cell proliferation in hepatocellular carcinoma (HCC). However, the role of lncRNAs in liver regeneration and the overall mechanisms remain largely unknown. To address this issue, we carried out a genome-wide lncRNA microarray analysis during liver regeneration in mice after 2/3 partial hepatectomy (PH) at various timepoints. The results revealed differential expression of a subset of lncRNAs, notably a specific differentially expressed lncRNA associated with Wnt/β-catenin signaling during liver regeneration (an lncRNA associated with liver regeneration, termed lncRNA-LALR1). The functions of lncRNA-LALR1 were assessed by silencing and overexpressing this lncRNA in vitro and in vivo. We found that lncRNA-LALR1 enhanced hepatocyte proliferation by promoting progression of the cell cycle in vitro. Furthermore, we showed that lncRNA-LALR1 accelerated mouse hepatocyte proliferation and cell cycle progression during liver regeneration in vivo. Mechanistically, we discovered that lncRNA-LALR1 facilitated cyclin D1 expression through activation of Wnt/β-catenin signaling by way of suppression of Axin1. In addition, lncRNA-LALR1 inhibited the expression of Axin1 mainly by recruiting CTCF to the AXIN1 promoter region. We also identified a human ortholog RNA of lncRNA-LALR1 (lncRNA-hLALR1) and found that it was expressed in human liver tissues. lncRNA-LALR1 promotes cell cycle progression and accelerates hepatocyte proliferation during liver regeneration by activating Wnt/β-catenin signaling. Pharmacological intervention targeting lncRNA-LALR1 may be therapeutically beneficial in liver failure and liver transplantation by inducing liver regeneration. Show less
no PDF DOI: 10.1002/hep.26361
AXIN1
Li Zhou, Meian He, Zengnan Mo +40 more · 2013 · PloS one · PLOS · added 2026-04-24
Plasma lipid levels are important risk factors for cardiovascular disease and are influenced by genetic and environmental factors. Recent genome wide association studies (GWAS) have identified several Show more
Plasma lipid levels are important risk factors for cardiovascular disease and are influenced by genetic and environmental factors. Recent genome wide association studies (GWAS) have identified several lipid-associated loci, but these loci have been identified primarily in European populations. In order to identify genetic markers for lipid levels in a Chinese population and analyze the heterogeneity between Europeans and Asians, especially Chinese, we performed a meta-analysis of two genome wide association studies on four common lipid traits including total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL) and high-density lipoprotein cholesterol (HDL) in a Han Chinese population totaling 3,451 healthy subjects. Replication was performed in an additional 8,830 subjects of Han Chinese ethnicity. We replicated eight loci associated with lipid levels previously reported in a European population. The loci genome wide significantly associated with TC were near DOCK7, HMGCR and ABO; those genome wide significantly associated with TG were near APOA1/C3/A4/A5 and LPL; those genome wide significantly associated with LDL were near HMGCR, ABO and TOMM40; and those genome wide significantly associated with HDL were near LPL, LIPC and CETP. In addition, an additive genotype score of eight SNPs representing the eight loci that were found to be associated with lipid levels was associated with higher TC, TG and LDL levels (P = 5.52 × 10(-16), 1.38 × 10(-6) and 5.59 × 10(-9), respectively). These findings suggest the cumulative effects of multiple genetic loci on plasma lipid levels. Comparisons with previous GWAS of lipids highlight heterogeneity in allele frequency and in effect size for some loci between Chinese and European populations. The results from our GWAS provided comprehensive and convincing evidence of the genetic determinants of plasma lipid levels in a Chinese population. Show less
📄 PDF DOI: 10.1371/journal.pone.0082420
DOCK7
Yeyun Zhou, Jared L Johnson, Richard A Cerione +1 more · 2013 · Biochemistry · ACS Publications · added 2026-04-24
The unconventional guanine nucleotide exchange factor (GEF) family comprising 11 DOCK180 related proteins is classified into four subfamilies, A through D, based on their relative GEF activity toward Show more
The unconventional guanine nucleotide exchange factor (GEF) family comprising 11 DOCK180 related proteins is classified into four subfamilies, A through D, based on their relative GEF activity toward the closely related Rac and Cdc42 GTPases. DOCK proteins participate in the remodeling of the actin cytoskeleton and are key regulators of cell motility, phagocytosis, and adhesion. Here we show that the guanine nucleotide exchange domain of DOCK7, DHR2 (for DOCK homology region 2), is a potent GEF for prenylated Cdc42 and Rac1 in a model liposome system, demonstrating that the prenylation and membrane localization of Cdc42 or Rac1 are necessary for their activation by DOCK7. Additionally, we identify DOCK7 residues that confer GTPase GEF specificity. Finally, using our liposome reconstitution assay, we show that a more narrowly defined GEF domain of DHR2 (designated DHR2s) harbors an N-terminal site distinct from the GEF active site that binds preferentially to the active, GTP-bound forms of Cdc42 and Rac1 and thereby recruits free DHR2s from solution to the membrane surface. This recruitment results in a progressive increase in the effective concentration of DHR2s at the membrane surface that in turn provides for an accelerated rate of guanine nucleotide exchange on Cdc42. The positive cooperativity observed in our reconstituted system suggests that the action of DOCK7 in vivo may involve the coordinated integration of Cdc42/Rac signaling in the context of the membrane recruitment of a DOCK7 GEF complex. Show less
📄 PDF DOI: 10.1021/bi301688g
DOCK7
Xinli Hu, Nannan Chang, Xuelian Wang +4 more · 2013 · Cell research · Nature · added 2026-04-24
no PDF DOI: 10.1038/cr.2013.141
DUSP6
Yong-an Zhou, Yun-xia Ma, Yong-hong Zhang +5 more · 2013 · Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics · added 2026-04-24
To screen for potential mutations in an ethnic Han Chinese family from Shanxi with hereditary multiple exostoses. Polymerase chain reaction and DNA sequencing were used to screen potential mutations i Show more
To screen for potential mutations in an ethnic Han Chinese family from Shanxi with hereditary multiple exostoses. Polymerase chain reaction and DNA sequencing were used to screen potential mutations in EXT1 and EXT2 genes. For EXT1 gene, two synonymous mutations (P477P and E587E), three intronic mutations (c.1537 -48A>G, c.1721 +203A>G and c.1722 -103C>G) were detected. For EXT2 gene, five intronic mutations (c.-29 -148A>T, c.1080 -18T>A, c.1336 -93C>T, c.1526 -166C>T, and c.1526 -195C>T) were identified. Among these, EXT1 P477P, EXT1 E587E and EXT2 c.1080 -18T>A are polymorphisms listed by Multiple Osteochondroma Mutation Database, whilst the other 7 sites have not been reported. No mutations have been found among all exons of the EXT1 and EXT2 genes in this family. Linkage analysis is necessary for identifying the cause of this disease. Show less
no PDF DOI: 10.3760/cma.j.issn.1003-9406.2013.01.023
EXT1
Satomi Nadanaka, Shaobo Zhou, Shoji Kagiyama +5 more · 2013 · The Journal of biological chemistry · American Society for Biochemistry and Molecular Biology · added 2026-04-24
Mutant alleles of EXT1 or EXT2, two members of the EXT gene family, are causative agents in hereditary multiple exostoses, and their gene products function together as a polymerase in the biosynthesis Show more
Mutant alleles of EXT1 or EXT2, two members of the EXT gene family, are causative agents in hereditary multiple exostoses, and their gene products function together as a polymerase in the biosynthesis of heparan sulfate. EXTL2, one of three EXT-like genes in the human genome that are homologous to EXT1 and EXT2, encodes a transferase that adds not only GlcNAc but also N-acetylgalactosamine to the glycosaminoglycan (GAG)-protein linkage region via an α1,4-linkage. However, both the role of EXTL2 in the biosynthesis of GAGs and the biological significance of EXTL2 remain unclear. Here we show that EXTL2 transfers a GlcNAc residue to the tetrasaccharide linkage region that is phosphorylated by a xylose kinase 1 (FAM20B) and thereby terminates chain elongation. We isolated an oligosaccharide from the mouse liver, which was not detected in EXTL2 knock-out mice. Based on structural analysis by a combination of glycosidase digestion and 500-MHz (1)H NMR spectroscopy, the oligosaccharide was found to be GlcNAcα1-4GlcUAβ1-3Galβ1-3Galβ1-4Xyl(2-O-phosphate), which was considered to be a biosynthetic intermediate of an immature GAG chain. Indeed, EXTL2 specifically transferred a GlcNAc residue to a phosphorylated linkage tetrasaccharide, GlcUAβ1-3Galβ1-3Galβ1-4Xyl(2-O-phosphate). Remarkably, the phosphorylated linkage pentasaccharide generated by EXTL2 was not used as an acceptor for heparan sulfate or chondroitin sulfate polymerases. Moreover, production of GAGs was significantly higher in EXTL2 knock-out mice than in wild-type mice. These results indicate that EXTL2 functions to suppress GAG biosynthesis that is enhanced by a xylose kinase and that the EXTL2-dependent mechanism that regulates GAG biosynthesis might be a "quality control system" for proteoglycans. Show less
no PDF DOI: 10.1074/jbc.M112.416909
EXT1
Weiwei Liu, Guorong Jin, Chongde Long +7 more · 2013 · TheScientificWorldJournal · added 2026-04-24
The Notch signaling is an evolutionarily conserved cell-cell communication pathway that plays critical roles in the proliferation, survival, apoptosis, and fate determination of mammalian cells. Retin Show more
The Notch signaling is an evolutionarily conserved cell-cell communication pathway that plays critical roles in the proliferation, survival, apoptosis, and fate determination of mammalian cells. Retinal pigment epithelial (RPE) cells are responsible for supporting the function of the neural retina and maintaining vision. This study investigated the function of Notch signaling in RPE cells. We found that the members of the Notch signaling pathway components were differentially expressed in RPE cells. Furthermore, blockage of Notch signaling inhibited the migration and proliferation of RPE cells and reduced the expression levels of certain Notch signaling target genes, including HES1, MYC, HEY2, and SOX9. Our data reveal a critical role of Notch signaling in RPE cells, suggesting that targeting Notch signaling may provide a novel approach for the treatment of ophthalmic diseases related to RPE cells. Show less
📄 PDF DOI: 10.1155/2013/178708
HEY2
Xin Zhou, Liyan Xue, Lihong Hao +6 more · 2013 · Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · Elsevier · added 2026-04-24
Lung cancer has the highest mortality rate among malignant tumors. Proteomics is a powerful tool to identify protein biomarkers. The identification of protein biomarkers associated with lung adenocarc Show more
Lung cancer has the highest mortality rate among malignant tumors. Proteomics is a powerful tool to identify protein biomarkers. The identification of protein biomarkers associated with lung adenocarcinoma would have significance for making prognoses and designing targeted therapies. In our study, we applied a two-dimensional difference gel electrophoresis approach coupled to a matrix-assisted laser desorption/ionization time-of-flight mass spectrometric analysis for the identification of proteins differentially expressed between lung adenocarcinoma and the paired normal bronchial epithelial tissues derived from seven patients (four of them developed distant metastasis after operation). In addition, we chose two candidate proteins and examine their expression levels in lung adenocarcinoma and adjacent normal tissues using immunohistochemistry methods, and their expression levels in serum of patients and healthy donors by ELISA. In this study, 173 proteins were found to be differentially expressed (ratio>1.5 or<-1.5, P≤0.05), and 22 of them were identified by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Thirteen proteins were at lower levels in the lung adenocarcinoma group, while nine proteins were at higher abundance. Immunohistochemistry analysis confirmed the expression levels of the two candidate proteins. The differential expression of the candidate secreted protein in serum from lung adenocarcinoma samples and healthy controls was showed by ELISA. Our results demonstrated a differential protein expression pattern for lung adenocarcinoma compared with the paired normal bronchial epithelial tissues. Further functional validation of candidate proteins is ongoing and might provide new insights in lung adenocarcinoma. Show less
no PDF DOI: 10.1016/j.biopha.2013.06.005
MACF1
A Albrechtsen, N Grarup, Y Li +105 more · 2013 · Diabetologia · Springer · added 2026-04-24
Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) Show more
Human complex metabolic traits are in part regulated by genetic determinants. Here we applied exome sequencing to identify novel associations of coding polymorphisms at minor allele frequencies (MAFs) >1% with common metabolic phenotypes. The study comprised three stages. We performed medium-depth (8×) whole exome sequencing in 1,000 cases with type 2 diabetes, BMI >27.5 kg/m(2) and hypertension and in 1,000 controls (stage 1). We selected 16,192 polymorphisms nominally associated (p < 0.05) with case-control status, from four selected annotation categories or from loci reported to associate with metabolic traits. These variants were genotyped in 15,989 Danes to search for association with 12 metabolic phenotypes (stage 2). In stage 3, polymorphisms showing potential associations were genotyped in a further 63,896 Europeans. Exome sequencing identified 70,182 polymorphisms with MAF >1%. In stage 2 we identified 51 potential associations with one or more of eight metabolic phenotypes covered by 45 unique polymorphisms. In meta-analyses of stage 2 and stage 3 results, we demonstrated robust associations for coding polymorphisms in CD300LG (fasting HDL-cholesterol: MAF 3.5%, p = 8.5 × 10(-14)), COBLL1 (type 2 diabetes: MAF 12.5%, OR 0.88, p = 1.2 × 10(-11)) and MACF1 (type 2 diabetes: MAF 23.4%, OR 1.10, p = 8.2 × 10(-10)). We applied exome sequencing as a basis for finding genetic determinants of metabolic traits and show the existence of low-frequency and common coding polymorphisms with impact on common metabolic traits. Based on our study, coding polymorphisms with MAF above 1% do not seem to have particularly high effect sizes on the measured metabolic traits. Show less
📄 PDF DOI: 10.1007/s00125-012-2756-1
MACF1
Fuman Qiu, Lei Yang, Wenxiang Fang +8 more · 2013 · Mutagenesis · Oxford University Press · added 2026-04-24
Mitogen/extracellular signal-regulated kinase-5 (MEK5)/extracellular signal-regulated protein kinase-5 (ERK5) pathway plays a pro-oncogenic role in tumourigenesis by anticell apoptosis, promoting cell Show more
Mitogen/extracellular signal-regulated kinase-5 (MEK5)/extracellular signal-regulated protein kinase-5 (ERK5) pathway plays a pro-oncogenic role in tumourigenesis by anticell apoptosis, promoting cell proliferation and differentiation in response to extracellular stimuli. As overexpressed MEK5/ERK5 is involved in the development of lung cancer, we hypothesised that the single nucleotide polymorphisms (SNPs) in MEK5 and ERK5 genes may influence gene expression and thus be associated with lung cancer risk. Five putative functional polymorphisms (rs3743353T>C, rs7172582C>T and rs2278076A>G of MEK5 and rs3866958G>T and rs2233083C>T of ERK5) were genotyped in two independent case-control studies with a total of 1559 lung cancer patients and 1679 controls in southern and eastern Chinese population. We found the rs3866958G>T of ERK5 was significantly associated with lung cancer risk, while other SNPs were not. Compared with the rs3866958TG/TT genotypes, the GG genotype conferred an increased risk of lung cancer (odds ratio = 1.30, 95% confidence interval = 1.12-1.51, P = 5.0×10(-4)), and this effect was more pronounced in smokers, accompanying with a significant interaction with smoking (P interaction = 0.013). The GG genotype also had significant higher mRNA levels of ERK5 in lung cancer tissues than TG/TT genotypes (P = 1.0×10(-4)); the luciferase reporter with the G allele showed significant higher transcription activities than the T allele, especially after the treatment with tobacco extract in vitro. Our data indicated that the functional polymorphism rs3866958G>T in ERK5 was associated with an increased lung cancer risk in smokers by virtue of the positive interaction with smoking on promoting the ERK5 expression, which might be a valuable indicator for predicting lung cancer risk in smokers. Show less
no PDF DOI: 10.1093/mutage/get033
MAP2K5
Yilu Wang, Zhimin Wang, Qi Yang +11 more · 2013 · PloS one · PLOS · added 2026-04-24
Hypertrophic cardiomyopathy (HCM) due to mutations in genes encoding sarcomere proteins is most commonly inherited as an autosomal dominant trait. Since nearly 50% of HCM cases occur in the absence of Show more
Hypertrophic cardiomyopathy (HCM) due to mutations in genes encoding sarcomere proteins is most commonly inherited as an autosomal dominant trait. Since nearly 50% of HCM cases occur in the absence of a family history, a recessive inheritance pattern may be involved. A pedigree was identified with suspected autosomal recessive transmission of HCM. Twenty-six HCM-related genes were comprehensively screened for mutations in the proband with targeted second generation sequencing, and the identified mutation was confirmed with bi-directional Sanger sequencing in all family members and 376 healthy controls. A novel missense mutation (c.1469G>T, p.Gly490Val) in exon 17 of MYBPC3 was identified. Two siblings with HCM were homozygous for this mutation, whereas other family members were either heterozygous or wild type. Clinical evaluation showed that both homozygotes manifested a typical HCM presentation, but none of others, including 5 adult heterozygous mutation carriers up to 71 years of age, had any clinical evidence of HCM. Our data identified a MYBPC3 mutation in HCM, which appeared autosomal recessively inherited in this family. The absence of a family history of clinical HCM may be due to not only a de novo mutation, but also recessive mutations that failed to produce a clinical phenotype in heterozygous family members. Therefore, consideration of recessive mutations leading to HCM is essential for risk stratification and genetic counseling. Show less
no PDF DOI: 10.1371/journal.pone.0067087
MYBPC3
Tao Tian, Yaxin Liu, Xianliang Zhou +1 more · 2013 · Gerontology · added 2026-04-24
Hypertrophic cardiomyopathy (HCM), which is characterized by unexplained and asymmetric left ventricular hypertrophy in the absence of other cardiac or systemic diseases, is an inherited cardiovascula Show more
Hypertrophic cardiomyopathy (HCM), which is characterized by unexplained and asymmetric left ventricular hypertrophy in the absence of other cardiac or systemic diseases, is an inherited cardiovascular disease and presents rising penetrance with aging. The purpose of this review is to offer an outline of recent progress in the molecular genetics of HCM and to discuss characteristics of elderly HCM patients. Studies were analyzed which included disease genes related to HCM, relationships between genotype and phenotype, potential pathogenesis of HCM, and the features of elderly patients with HCM. HCM is caused by mutations in genes encoding myofilament proteins of the sarcomere, Z-disc proteins, Ca2+ -handling proteins, and other proteins related to the sarcomere. Phenotypic manifestations of HCM are not just determined by these genes; modifying genes and epigenetic factors also contribute to the complexity of the HCM phenotype. The potential pathogenesis of HCM involves dominant negative function, an imbalance of myocardial energetic metabolism, and haploinsufficiency. Late-onset HCM presents its own features in the distribution of causal genes. Mutations in MYBPC3 may be the most common cause of delayed expression of HCM, and the sarcomere gene screen is most likely to be negative in elderly HCM patients. Despite progress in the identification of genetic causes and pathogenesis of HCM, there are still some questions that need to be better understood. It remains a great challenge to identify the cause of 50% of HCM cases in patients without an identified mutation. The application of a new genetic study technology may completely uncover the genetic background of these cases. In addition, the influences of causal mutations on the function and signaling of cardiocytes are expected to be elucidated further. Show less
no PDF DOI: 10.1159/000346146
MYBPC3
Yubao Zou, Jizheng Wang, Xuan Liu +19 more · 2013 · Molecular biology reports · Springer · added 2026-04-24
Genotype-phenotype correlation of hypertrophic cardiomyopathy (HCM) has been challenging because of the genetic and clinical heterogeneity. To determine the mutation profile of Chinese patients with H Show more
Genotype-phenotype correlation of hypertrophic cardiomyopathy (HCM) has been challenging because of the genetic and clinical heterogeneity. To determine the mutation profile of Chinese patients with HCM and to correlate genotypes with phenotypes, we performed a systematic mutation screening of the eight most commonly mutated genes encoding sarcomere proteins in 200 unrelated Chinese adult patients using direct DNA sequencing. A total of 98 mutations were identified in 102 mutation carriers. The frequency of mutations in MYH7, MYBPC3, TNNT2 and TNNI3 was 26.0, 18.0, 4.0 and 3.5 % respectively. Among the 200 genotyped HCM patients, 83 harbored a single mutation, and 19 (9.5 %) harbored multiple mutations. The number of mutations was positively correlated with the maximum wall thickness. We found that neither particular gene nor specific mutation was correlated to clinical phenotype. In summary, the frequency of multiple mutations was greater in Chinese HCM patients than in the Caucasian population. Multiple mutations in sarcomere protein may be a risk factor for left ventricular wall thickness. Show less
no PDF DOI: 10.1007/s11033-012-2474-2
MYBPC3