👤 Yinghui Hu

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642
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Also published as: Cheng-En Hu, Zhiqiang Hu, Xiao Hu, Sangyu Hu, Xiaoxia Hu, Yijia Hu, Li-Ling Hu, Min HU, Lanxin Hu, Yu-Sheng Hu, Lingmin Hu, Chenghong Hu, Xue Hu, Haitian Hu, Xiaolin Hu, An Hu, Ziwei Hu, Jessie J Hu, Lufeng Hu, Chang-Jiang Hu, Lidan Hu, Xixi Hu, Wenhui Hu, Xinyao Hu, Mandong Hu, Xingdi Hu, Qiao Hu, Chunmiao Hu, Chiao-Feng Hu, Kelly A Hu, Yali Hu, Jingjing Hu, Yang-Xi Hu, Jinxin Hu, Kaishun Hu, Xiaojing Hu, Fengqing Hu, Hong-Kang Hu, Jun Hu, Wenbo Hu, Chengyuan Hu, Linfeng Hu, Hong-Zhen Hu, Fangfang Hu, Hanning Hu, Tingxi Hu, Yepeng Hu, Liang Hu, Yujie Hu, Dingheng Hu, Lihong Hu, Tianyu Hu, Chuanyin Hu, Xinli Hu, Haitao Hu, Zuomin Hu, Pengfei Hu, Linglong Hu, Shichuan Hu, L-S Hu, Hao Hu, X Hu, Da-Yi Hu, Sai Hu, Zongyun Hu, Huaqing Hu, Dongjie Hu, Wei Hu, Yanqing Hu, Hongfeng Hu, Shan Hu, Zhilin Hu, Frank B Hu, Yameng Hu, Yushi Hu, Ronggui Hu, Shuang Hu, Xiangyu Hu, Frank Hu, Chang-Chen Hu, Chunli Hu, Zeping Hu, Haidai Hu, Jiafeng Hu, Zhonglan Hu, Wen Hu, Kunlong Hu, Guozhang Hu, Ji Hu, Lipeng Hu, G-X Hu, Limin Hu, Jiahao Hu, Yating Hu, Jin-Wu Hu, Fangdi Hu, Wangxing Hu, Zhengmao Hu, Shiyan Hu, Xinyu Hu, Guoliang Hu, Chen Hu, Qilong Hu, Shaofan Hu, Xiaozhi Hu, Songjie Hu, Xinrong Hu, Peizhen Hu, Xiao-Hui Hu, Anyi Hu, Zhangxue Hu, Dayi Hu, Yueming Hu, Hai Hu, Hui-Jun Hu, Ya-Hui Hu, Nan Hu, Hongling Hu, Zhixing Hu, Zhijie Hu, Yingying Hu, Xiaowen Hu, Erqiang Hu, Danhui Hu, Simin Hu, Xueda Hu, Haochang Hu, Mengjie Hu, Xiaobin Hu, Zengyun Hu, Su-Wei Hu, Kai Hu, Yangfan Hu, Ting Hu, Zuojian Hu, Xiaofeng Hu, Yunyan Hu, Wenxin Hu, Chuan Hu, Jiqiang Hu, Bo Hu, Jie Hu, Zhi-bin Hu, Guangyu Hu, Tingwei Hu, Yuqiu Hu, Fang-Wei Hu, Xintao Hu, Jianping Hu, Chaoqun Hu, Hu Hu, Qinghua Hu, Jia Hu, Qinwen Hu, Zizhong Hu, Shangfeng Hu, Yuxin Hu, Liangyu Hu, Chunyu Hu, Guoxin Hu, Xiaoyu Hu, Jiayin Hu, Canrun Hu, Junkai Hu, Jun-Yi Hu, Panyang Hu, Guang Hu, Die Hu, Saiyang Hu, Yu-Feng Hu, Krista Y Hu, Xinyue Hu, Xuan Hu, Chenming Hu, J W Hu, Fenghua Hu, Zhao-Yang Hu, Shi-Jun Hu, Xuesong Hu, Min-shan Hu, Su Hu, Shenqiang Hu, Yiqing Hu, Dahai Hu, Bang Hu, Yiping Hu, Miao-Lin Hu, C Hu, Zhiyong Hu, Hanguang Hu, Jiabao Hu, Yuexin Hu, Ruiyao Hu, Deming Hu, Yu-Ting Hu, Panpan Hu, Jia-Wei Hu, Zhuang-Li Hu, Xiangrong Hu, Yutian Hu, Xinyuan Hu, Sen-Lin Hu, Xu Hu, Yiguo Hu, Yihan Hu, Baifei Hu, Fangbo Hu, Hanmeng Hu, Kevin Hu, Xujuan Hu, Yi-Ping Hu, Guohong Hu, F Hu, Suqing Hu, Lian Hu, Huimin Hu, Liyan Hu, Tianqi Hu, Allison C Hu, Zhang-Xue Hu, Xiaoxiao Hu, Lijuan Hu, Xinglv Hu, Yonggang Hu, Chao-Yu Hu, Yingchao Hu, Li Hu, Xiaoyue Hu, Mi Hu, Bo-Ang Hu, Haicheng Hu, Qiaomu Hu, Yue Hu, Chun-Ting Hu, Wan-Chung Hu, Juan Hu, Junjie Hu, Zan Hu, Yi-Xuan Hu, Zheng-Mao Hu, Alex Hu, Qiping Hu, Fang Hu, Jin-Xia Hu, Xiangyang Hu, Bolang Hu, Meilin Hu, Shun Hu, Yanjie Hu, X H Hu, Xia Hu, Huan Hu, Qihao Hu, Hong Hu, Xue-Mei Hu, Yuepeng Hu, Yanyu Hu, Aoni Hu, Yousheng Hu, Bangchuan Hu, Limei Hu, Lifang Hu, Shilei Hu, Kefan Hu, Zhongyao Hu, Bing Hu, Donglei Hu, Nengwei Hu, Chun-Yan Hu, Shu-Mei Hu, Yongwu Hu, Gang Hu, Jiangbo Hu, Weihua Hu, Yunzhang Hu, Ling Hu, Patrick Hu, Zhenying Hu, Ruozhen Hu, Guomin Hu, Ye Hu, Yi-Peng Hu, Bin Hu, Liu-Bing Hu, Lei Hu, Shuiqing Hu, Xiao-Hong Hu, Ya-Li Hu, Yukai Hu, Chengyi Hu, Xiao-Hua Hu, Jintao Hu, Xiaosong Hu, Liyuan Hu, Xiangjun Hu, Xianjing Hu, Manqiu Hu, Die-Fei Hu, Sanyuan Hu, Naifan Hu, Mingzhao Hu, Jianfei Hu, Xiang Hu, Zhibin Hu, Xinting Hu, Xiaodi Hu, Yan-wei Hu, Dorothy Hu, Zhiying Hu, Linda Hu, Guodong Hu, Yunhua Hu, Sunkuan Hu, Jianhong Hu, Zhengping Hu, Chunyan Hu, Danjie Hu, Wen-Ting Hu, Yejia Hu, Zhenhua Hu, Yingjie Hu, Ya-Yu Hu, Yanling Hu, Zhiquan Hu, Jingwen Hu, Yao Hu, Changyuan Hu, Yue-Xiao Hu, Yuan Hu, Xin-Sheng Hu, Zhijun Hu, Beijuan Hu, Xin Hu, Ruolan Hu, Jin Hu, Bei Hu, Qin Hu, Xiaodan Hu, Michele T M Hu, Xiao-Meng Hu, Xiaojuan Hu, Huiming Hu, Zhongke Hu, Shaohua Hu, Yingchun Hu, Shihe Hu, Hairong Hu, Jingchu Hu, Jianying Hu, Haijian Hu, Haijuan Hu, Yuehong Hu, Na Hu, Ming Hu, Haiyan Hu, Y Hu, Zuli Hu, Ya-Rong Hu, Jiapeng Hu, Jinxing Hu, Yiwen Hu, Jiewei Hu, Yuanyuan Hu, Cheng Hu, Manli Hu, Xueli Hu, Li-Yuan Hu, Jun-ping Hu, Chengxiang Hu, Tongyuan Hu, Ying-Jie Hu, Pengzhen Hu, Yueqiang Hu, Y H Hu, Houyuan Hu, Wenhao Hu, Fei Hu, Jinghua Hu, Jinwu Hu, Jian Hu, XueLie Hu, Weipeng Hu, Qiaoling Hu, Ying Hu, Changhua Hu, Zhizhou Hu, Mingxin Hu, William T Hu, Xiaohui Hu, Xiaohu Hu, Guo-Xin Hu, Yaodong Hu, Xiaomei Hu, Yejun Hu, Ke Hu, Xue-Qun Hu, Baoyang Hu, Haoxiang Hu, Haochong Hu, Desheng Hu, Dongyu Hu, Xiaotong Hu, Zhaoting Hu, Kexin Hu, Baihua Hu, Jessica Hu, Shanshan Hu, Chengcheng Hu, Yu-Qi Hu, Zixuan Hu, Qianying Hu, Qiulan Hu, Jianyong Hu, Boran Hu, Xun Hu, Chi-Tan Hu, Jinying Hu, Yijun Hu, Shengshou Hu, Meng Hu, Yongxian Hu, Han Hu, Xiqi Hu, Shourui Hu, Fudong Hu, Cong Hu, Xingwang Hu, Ai-Min Hu, Yongbin Hu, Guo Liang Hu, Wenjing Hu, Yulian Hu, Minghui Hu, Ping Hu, Daixing Hu, Yan Hu, Zhigang Hu, Jingqing Hu, Qian Hu, Meng-Meng Hu, Yong Hu, Miaoyang Hu, Rui Hu, Hua Hu, Z Hu, Wen-Cheng Hu, Aiyan Hu, D Y Hu, Cheng-Jun Hu, Junhao Hu, Jiayu Hu, Bing-Xuan Hu, Qun Hu, Anpei Hu, Senlin Hu, Keqing Hu, Weiwen Hu, Xiujing Hu, Fan Hu, Xiaorong Hu, Anqi Hu, Yongfei Hu, Xiaofei Hu, Keping Hu, Zhenbo Hu, Ziyang Hu, Junbo Hu, Xiu-Wei Hu, Y-K Hu, Xue-Jian Hu, Fangzhu Hu, Ning Hu, Xuefeng Hu, Ruoxi Hu, Xinyi Hu, Yongjun Hu, Chunfeng Hu, Haifeng Hu, Yanjun Hu, Jichao Hu, Zheng Hu, B Hu, Ran Hu, Zelin Hu, Jianran Hu, Jiahe Hu, Xiaoyan Hu, Yang Hu, Shimin Hu, Qiyuan Hu, Kuan Hu, Jingjie Hu, Ziliang Hu, Yaxin Hu, Zhijian Hu, Weiquan Hu, Xiaoli Hu, Guo-Han Hu, Yuanlong Hu, Changqing Hu, Yiying Hu, Tiffany Hu, Guangdong Hu, Jerry Hu, Yibo Hu, Xiao-Ping Hu, Yuhong Hu, Jinlin Hu, Kai-Lun Hu, Xianzhe Hu, Chang Hu, Jiemiao Hu, Donghua Hu, Zhuo-Wei Hu, Xian Gui Hu, Hongjia Hu, Zhi-Qiang Hu, Changchen Hu, Jiejun Hu, Lulu Hu, Lilin Hu, Hanze Hu, Boli Hu, Jianpeng Hu, Cegui Hu, Mengting Hu, Haigang Hu, Yue-Qin Hu, Shixian Hu, Jimeng Hu, Jinhua Hu, Xiang-Yang Hu, Yi Hu, Dandan Hu, Yun Hu, Lina Hu, Tianxiang Hu, Yue-Peng Hu, Zhangli Hu, Junting Hu, Jiaqiang Hu, Xiangyou Hu, Renjie Hu, Shudong Hu, Yaofei Hu, Yanhui Hu, Qile Hu, Shoudi Hu, Jiayao Hu, Qiongdan Hu, Hangqi Hu, Di Hu, Ningning Hu, Dan Hu, Xiao-Lin Hu, Xiaoshan Hu, Longbo Hu, Sean Hu, Wanli Hu, Tongtong Hu, Qisheng Hu, Yu Hu, Xiwen Hu, Zhiyuan Hu, Zhenguo Hu, Shiyi Hu, Pingzhao Hu, Haoyu Hu, Guo Hu, Li-Fang Hu, Xiao-Lei Hu, Song Hu, Chang-Hua Hu, Qubai Hu, Dong Hu, Sile Hu, Xiaoxiang Hu, Jiwei Hu, Qi Hu, Jiaxin Hu, Shuyuan Hu, Jiang Hu, Jing Hu, Teng Hu, Tingting Hu, Feng Hu, Yefan Hu, Weiyu Hu, Wenji Hu, Wenxiang Hu, Qing Hu, Miao Hu, Wangxiong Hu, Biao Hu, Gangqing Hu, Dingtao Hu, Shuqi Hu, Shiyu Hu, Chaowei Hu, Yunlu Hu, Yuwen Hu, Piaopiao Hu, Pin Hu, Xiucai Hu, Weiming Hu, Yaozhong Hu, Yao-Min Hu, Gui-Rong Hu, Zhen Hu, Aoling Hu, Yiyang Hu, Zhaoyong Hu, Qiaoguan Hu, Wentao Hu, Yinping Hu, He-Ping Hu, Yulong Hu, Junchi Hu, Chunhua Hu, Yiming Hu, Xiaojun Hu, Hongbo Hu, Huiyu Hu, Yeguang Hu, Tianyi Hu, Zhi-De Hu, Bodan Hu, Youna Hu, Chengkai Hu, Yunying Hu, Jia-Qiang Hu, Bingfang Hu, An-Kang Hu, Xuan-Yu Hu, Sung-Lin Hu, Shen Hu, Tingyan Hu, Xiaomin Hu, L W Hu, Jiawen Hu, Yuanhui Hu
articles
Lifang Hu, Chong Yin, Dong Chen +9 more · 2021 · Cell death and differentiation · Nature · added 2026-04-24
Osteoblast differentiation leading to bone formation requires a coordinated transcriptional program. Osteoblastic cells with low level of microtubule actin crosslinking factor 1 (MACF1) show reduced o Show more
Osteoblast differentiation leading to bone formation requires a coordinated transcriptional program. Osteoblastic cells with low level of microtubule actin crosslinking factor 1 (MACF1) show reduced osteoblast differentiation ability, however, the comprehensive mechanism of MACF1's action remains unexplored. In the current study, we found that MACF1 knockdown suppressed osteoblast differentiation by altering the transcriptome dynamics. We further identified two MACF1-interacted proteins, cyclin-dependent kinase 12 (CDK12) and MYST/Esa1-associated factor 6 (MEAF6), and two MACF1-interacted transcription factors (TFs), transcription factor 12 (TCF12) and E2F transcription factor 6 (E2F6), which repress osteoblast differentiation by altering the expression of osteogenic TFs and genes. Moreover, we found that MACF1 regulated cytoplasmic-nuclear localization of itself, TCF12 and E2F6 in a concentration-dependent manner. MACF1 oppositely regulates the expression of TCF12 and transcription factor 7 (TCF7), two TFs that drive osteoblast differentiation to opposite directions. This study reveals that MACF1, a cytoskeletal protein, acts as a sponge for repressors of osteoblast differentiation to promote osteoblast differentiation and contributes to a novel mechanistic insight of osteoblast differentiation and transcription dynamics. Show less
no PDF DOI: 10.1038/s41418-021-00744-9
MACF1
Longyang Liu, Ke Hu, Zhaoyang Zeng +4 more · 2021 · Recent patents on anti-cancer drug discovery · Bentham Science · added 2026-04-24
Ovarian Cancer (OC) remains the first leading cause of gynecologic malignancy. The survival rate from Serous Ovarian Cancer (SOC) is very low, and the present prognostic predictors of SOC are not very Show more
Ovarian Cancer (OC) remains the first leading cause of gynecologic malignancy. The survival rate from Serous Ovarian Cancer (SOC) is very low, and the present prognostic predictors of SOC are not very sensitive or specific. The present study aimed to investigate Microtubule-Actin Cross-Linking Factor 1 (MACF1) expression in SOC tissues (including paraffin-embedded and fresh tissues) and to assess its expression and significant value in patients with SOC. A total of 18 fresh SOC tissues and their paired paratumor tissues were performed with reverse-transcription quantitative PCR analysis to detect MACF1 mRNA expression. Moreover, 175 paraffin-embedded SOC tissues and 41 paratumor tissues were assessed for MACF1 expression using immunohistochemistry. The mRNA and protein expression of MACF1, both were higher in cancer tissues than that in paratumor tissues, and the high expression of MACF1 was associated with shorter Recurrence Free Survival (RFS) and Overall Survival (OS) in patients with SOC. Furthermore, multivariate regression analysis showed that high MACF1 expression was an independent poor survival predictor of patients with SOC. MACF1 is upregulated in SOC, and it may be used as a useful prognostic biomarker in SOC. Show less
no PDF DOI: 10.2174/1574892816666210211091543
MACF1
Somayeh Kafaie, Ling Xu, Ting Hu · 2021 · Genetic epidemiology · Wiley · added 2026-04-24
Though additive forms of heritability are primarily studied in genetics, nonlinear, non-additive gene-gene interactions, that is, epistasis, could explain a portion of the missing heritability in comp Show more
Though additive forms of heritability are primarily studied in genetics, nonlinear, non-additive gene-gene interactions, that is, epistasis, could explain a portion of the missing heritability in complex human diseases including cancer. In recent years, powerful computational methods have been introduced to understand multivariable genetic factors of these complex human diseases in extremely high-dimensional genome-wide data. In this study, we investigated the performance of three powerful methods, BOolean Operation-based Screening and Testing (BOOST), FastEpistasis, and Tree-based Epistasis Association Mapping (TEAM) to identify interacting genetic risk factors of colorectal cancer (CRC) for genome-wide association studies (GWAS). After quality-control based data preprocessing, we applied these three algorithms to a CRC GWAS data set, and selected the top-ranked 100 single-nucleotide polymorphism (SNP) pairs identified by each method (251 SNPs in total), among which 74 pairs were common between FastEpistasis and BOOST. The identified SNPs by BOOST, FastEpistasis, and TEAM mapped to 58, 57, and 62 genes, respectively. Some genes highlighted by our study, including MACF1, USP49, SMAD2, SMAD3, TGFBR1, and RHOA, have been detected in previous CRC-related research. We also identified some new genes with potential biological relevance to CRC such as CCDC32. Furthermore, we constructed the network of these top SNP pairs for three methods, and the patterns identified in the networks show that some SNPs including rs2412531, rs349699, and rs17142011 play a crucial role in the classification of disease status in our study. Show less
no PDF DOI: 10.1002/gepi.22372
MACF1
M Zhu, P Yin, F Hu +4 more · 2021 · Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · Springer · added 2026-04-24
In this study, we integrated large-scale GWAS summary data and used the predicted transcriptome-wide association study method to discover novel genes associated with osteoporosis. We identified 204 ca Show more
In this study, we integrated large-scale GWAS summary data and used the predicted transcriptome-wide association study method to discover novel genes associated with osteoporosis. We identified 204 candidate genes, which provide novel clues for understanding the genetic mechanism of osteoporosis and indicate potential therapeutic targets. Osteoporosis is a highly polygenetic disease characterized by low bone mass and deterioration of the bone microarchitecture. Our objective was to discover novel candidate genes associated with osteoporosis. To identify potential causal genes of the associated loci, we investigated trait-gene expression associations using the transcriptome-wide association study (TWAS) method. This method directly imputes gene expression effects from genome-wide association study (GWAS) data using a statistical prediction model trained on GTEx reference transcriptome data. We then performed a colocalization analysis to evaluate the posterior probability of biological patterns: associations characterized by a single causal variant or multiple distinct causal variants. Finally, a functional enrichment analysis of gene sets was performed using the VarElect and CluePedia tools, which assess the causal relationships between genes and a disease and search for potential gene's functional pathways. The osteoporosis-associated genes were further confirmed based on the differentially expressed genes profiled from mRNA expression data of bone tissue. Our analysis identified 204 candidate genes, including 154 genes that have been previously associated with osteoporosis, 50 genes that have not been previously discovered. A biological function analysis found that 20 of the candidate genes were directly associated with osteoporosis. Further analysis of multiple gene expression profiles showed that 15 genes were differentially expressed in patients with osteoporosis. Among these, SLC11A2, MAP2K5, NFATC4, and HSP90B1 were enriched in four pathways, namely, mineral absorption pathway, MAPK signaling pathway, Wnt signaling pathway, and PI3K-Akt signaling pathway, which indicates a causal relationship with the occurrence of osteoporosis. We demonstrated that transcriptome fine-mapping identifies more osteoporosis-related genes and provides key insight into the development of novel targeted therapeutics for the treatment of osteoporosis. Show less
📄 PDF DOI: 10.1007/s00198-021-06024-z
MAP2K5
Ran Li, Chen Hu, Jianning Wang +4 more · 2021 · Microorganisms · MDPI · added 2026-04-24
Marine protists are essential for globally critical biological processes, including the biogeochemical cycles of matter and energy. However, compared with their prokaryotic counterpart, it remains lar Show more
Marine protists are essential for globally critical biological processes, including the biogeochemical cycles of matter and energy. However, compared with their prokaryotic counterpart, it remains largely unclear how environmental factors determine the diversity and distribution of the active protistan communities on the regional scale. In the present study, the biodiversity, community composition, and potential drivers of the total, abundant, and rare protistan groups were studied using high throughput sequencing on the V9 hyper-variable regions of the small subunit ribosomal RNA (SSU rRNA) along an estuary to basin transect in the northern South China Sea. Overall, Bacillariophyta and Cercozoa were abundant in the surface water; heterotrophic protists including Spirotrichea and marine stramenopiles 3 (MAST-3) were more abundant in the subsurface waters near the heavily urbanized Pearl River estuary; Chlorophyta and Pelagophyceae were abundant at the deep chlorophyll maximum depth, while Hacrobia, Radiolaria, and Excavata were the abundant groups in the deep water. Salinity, followed by water depth, temperature, and other biological factors, were the primary factors controlling the distinct vertical and horizontal distribution of the total and abundant protists. Rare taxa were driven by water depth, followed by temperature, salinity, and the concentrations of PO Show less
📄 PDF DOI: 10.3390/microorganisms9020351
MAST3
Die Hu, Yanhong Guo, Renrong Wu +9 more · 2021 · Arteriosclerosis, thrombosis, and vascular biology · added 2026-04-24
[Figure: see text].
no PDF DOI: 10.1161/ATVBAHA.120.315708
MLXIPL
Yaping Zhou, Fuliang Cao, Qiang Wu +8 more · 2021 · Journal of agricultural and food chemistry · ACS Publications · added 2026-04-24
Several publications report that octacosanol (OCT) has different biological functions. This study was designed to evaluate the antifatigue effect and molecular mechanism of octacosanol (200 mg/(kg day Show more
Several publications report that octacosanol (OCT) has different biological functions. This study was designed to evaluate the antifatigue effect and molecular mechanism of octacosanol (200 mg/(kg day)) in forced exercise-induced fatigue models of trained male C57BL/6 mice. Results showed that octacosanol ameliorated the mice's autonomic activities, forelimb grip strength, and swimming endurance, and the levels of liver glycogen (LG), muscle glycogen (MG), blood lactic acid (BLA), lactate dehydrogenase (LDH), superoxide dismutase (SOD), and glutathione peroxidase (GSH-Px) were also regulated. Gene analysis results showed that treatment with OCT upregulated 29 genes, while 38 genes were downregulated in gastrocnemius tissue. Gene ontology (GO) analyses indicated that these genes enriched functions in relation to myofibril, contractile fiber, and calcium-dependent adenosinetriphosphatase (ATPase) activity. Octacosanol supplementation significantly adjusted the messenger RNA (mRNA) and protein expression levels related to fatigue performance. Octacosanol has an observably mitigating effect in exercise-induced fatigue models, and its molecular mechanism may be related to the regulation of tripartite motif-containing 63 (Trim63), periaxin (Prx), calcium voltage-gated channel subunit α1 H (Cacna1h), and myosin-binding protein C (Mybpc3) expression. Show less
no PDF DOI: 10.1021/acs.jafc.1c01764
MYBPC3
Jeanne L Theis, Jessie J Hu, Rhianna S Sundsbak +5 more · 2021 · Circulation. Genomic and precision medicine · added 2026-04-24
Hypoplastic left heart syndrome (HLHS) with risk of poor outcome has been linked to Whole genome sequencing was performed in 197 probands with HLHS, 43 family members, and 813 controls. Data were filt Show more
Hypoplastic left heart syndrome (HLHS) with risk of poor outcome has been linked to Whole genome sequencing was performed in 197 probands with HLHS, 43 family members, and 813 controls. Data were filtered for rare, segregating variants in 3 index families comprised of an HLHS proband and relative(s) with cardiomyopathy. Whole genome sequencing data from cases and controls were compared for rare variant burden across 56 cardiomyopathy genes utilizing a weighted burden test approach, accounting for multiple testing using a Bonferroni correction. A pathogenic Whole genome sequencing in multiplex families, proband-parent trios, and case-control cohorts revealed defects in cardiomyopathy-associated genes in patients with HLHS, which may portend impaired functional reserve of the single-ventricle circulation. Show less
no PDF DOI: 10.1161/CIRCGEN.120.003126
MYBPC3
Chuanyin Li, Tianting Han, Qingrun Li +15 more · 2021 · Nucleic acids research · Oxford University Press · added 2026-04-24
The family of Poly(A)-binding proteins (PABPs) regulates the stability and translation of messenger RNAs (mRNAs). Here we reported that the three members of PABPs, including PABPC1, PABPC3 and PABPC4, Show more
The family of Poly(A)-binding proteins (PABPs) regulates the stability and translation of messenger RNAs (mRNAs). Here we reported that the three members of PABPs, including PABPC1, PABPC3 and PABPC4, were identified as novel substrates for MKRN3, whose deletion or loss-of-function mutations were genetically associated with human central precocious puberty (CPP). MKRN3-mediated ubiquitination was found to attenuate the binding of PABPs to the poly(A) tails of mRNA, which led to shortened poly(A) tail-length of GNRH1 mRNA and compromised the formation of translation initiation complex (TIC). Recently, we have shown that MKRN3 epigenetically regulates the transcription of GNRH1 through conjugating poly-Ub chains onto methyl-DNA bind protein 3 (MBD3). Therefore, MKRN3-mediated ubiquitin signalling could control both transcriptional and post-transcriptional switches of mammalian puberty initiation. While identifying MKRN3 as a novel tissue-specific translational regulator, our work also provided new mechanistic insights into the etiology of MKRN3 dysfunction-associated human CPP. Show less
no PDF DOI: 10.1093/nar/gkab155
PABPC4
Aiting Wang, Lei Ding, Zhongqiu Wu +7 more · 2021 · The Journal of experimental medicine · added 2026-04-24
Autophagy programs the metabolic and functional fitness of regulatory T (T reg) cells to establish immune tolerance, yet the mechanisms governing autophagy initiation in T reg cells remain unclear. He Show more
Autophagy programs the metabolic and functional fitness of regulatory T (T reg) cells to establish immune tolerance, yet the mechanisms governing autophagy initiation in T reg cells remain unclear. Here, we show that the E3 ubiquitin ligase ZFP91 facilitates autophagy activation to sustain T reg cell metabolic programming and functional integrity. T reg cell-specific deletion of Zfp91 caused T reg cell dysfunction and exacerbated colonic inflammation and inflammation-driven colon carcinogenesis. TCR-triggered autophagy induction largely relied on T reg cell-derived ZFP91 to restrict hyperglycolysis, which is required for the maintenance of T reg cell homeostasis. Mechanistically, ZFP91 rapidly translocated from the nucleus to the cytoplasm in response to TCR stimulation and then mediated BECN1 ubiquitination to promote BECN1-PIK3C3 complex formation. Therefore, our results highlight a ZFP91-dependent mechanism promoting TCR-initiated autophagosome maturation to maintain T reg cell homeostasis and function. Show less
no PDF DOI: 10.1084/jem.20201217
PIK3C3
Boli Hu, Yina Zhang, Tingjuan Deng +9 more · 2021 · Autophagy · Taylor & Francis · added 2026-04-24
PDPK1 (3-phosphoinositide dependent protein kinase 1) is a phosphorylation-regulated kinase that plays a central role in activating multiple signaling pathways and cellular processes. Here, this study Show more
PDPK1 (3-phosphoinositide dependent protein kinase 1) is a phosphorylation-regulated kinase that plays a central role in activating multiple signaling pathways and cellular processes. Here, this study shows that PDPK1 turns on macroautophagy/autophagy as a SUMOylation-regulated kinase. Show less
no PDF DOI: 10.1080/15548627.2020.1817279
PIK3C3
Huina Liu, Lei Hu, Guoxia Yu +4 more · 2021 · Stem cells (Dayton, Ohio) · Wiley · added 2026-04-24
Bone regeneration and remodeling are complex physiological processes that are regulated by key transcription factors. Understanding the regulatory mechanism of key transcription factors on the osteoge Show more
Bone regeneration and remodeling are complex physiological processes that are regulated by key transcription factors. Understanding the regulatory mechanism of key transcription factors on the osteogenic differentiation of mesenchymal stem cells (MSCs) is a key issue for successful bone regeneration and remodeling. In the present study, we investigated the regulatory mechanism of the histone deacetylase Sirtuin 7 (SIRT7) on the key transcription factor OSX and osteogenesis of MSCs. In this study, we found that SIRT7 knockdown increased ALP activity and in vitro mineralization and promoted the expression of the osteogenic differentiation markers DSPP, DMP1, BSP, OCN, and the key transcription factor OSX in MSCs. In addition, SIRT7 could associate with RNA binding motif protein 6 (RBM6) to form a protein complex. Moreover, RBM6 inhibited ALP activity, the expression of DSPP, DMP1, BSP, OCN, and OSX in MSCs, and the osteogenesis of MSCs in vivo. Then, the SIRT7/RBM6 protein complex was shown to downregulate the level of H3K18Ac in the OSX promoter by recruiting SIRT7 to the OSX promoter and inhibiting the expression of OSX isoforms 1 and 2. Furthermore, lncRNA PLXDC2-OT could associate with the SIRT7/RBM6 protein complex to diminish its binding and deacetylation function in the OSX promoter and its inhibitory function on OSX isoforms 1 and 2 and to promote the osteogenic potential of MSCs. Show less
no PDF DOI: 10.1002/stem.3362
RBM6
Yuexin Hu, Mingjun Zheng, Shuang Wang +6 more · 2021 · Genomics · Elsevier · added 2026-04-24
The RGS (regulator of G protein signaling) gene family, which includes negative regulators of G protein-coupled receptors, comprises important drug targets for malignant tumors. It is thus of great si Show more
The RGS (regulator of G protein signaling) gene family, which includes negative regulators of G protein-coupled receptors, comprises important drug targets for malignant tumors. It is thus of great significance to explore the value of RGS family genes for diagnostic and prognostic prediction in ovarian cancer. The RNA-seq, immunophenotype, and stem cell index data of pan-cancer, The Cancer Genome Atlas (TCGA) data, and GTEx data of ovarian cancer were downloaded from the UCSC Xena database. In the pan-cancer database, the expression level of RGS1, RGS18, RGS19, and RGS13 was positively correlated with stromal and immune cell scores. Cancer patients with high RGS18 expression were more sensitive to cyclophosphamide and nelarabine, whereas those with high RGS19 expression were more sensitive to cladribine and nelarabine. The relationship between RGS family gene expression and overall survival (OS) and progression-free survival (PFS) of ovarian cancer patients was analyzed using the KM-plotter database, RGS17, RGS16, RGS1, and RGS8 could be used as diagnostic biomarkers of the immune subtype of ovarian cancer, and RGS10 and RGS16 could be used as biomarkers to predict the clinical stage of this disease. Further, Lasso cox analysis identified a five-gene risk score (RGS11, RGS10, RGS13, RGS4, and RGS3). Multivariate COX analysis showed that the risk score was an independent prognostic factor for patients with ovarian cancer. Immunohistochemistry and the HPA protein database confirmed that the five-gene signature is overexpressed in ovarian cancer. GSEA showed that it is mainly involved in the ECM-receptor interaction, TGF-beta signaling pathway, Wnt signaling pathway, and chemokine signaling pathway, which promote the occurrence and development of ovarian cancer. The prediction model of ovarian cancer constructed using RGS family genes is of great significance for clinical decision making and the personalized treatment of patients with ovarian cancer. Show less
no PDF DOI: 10.1016/j.ygeno.2021.04.012
RGS17
Chia-Chang Wu, Yuan-Hung Wang, Su-Wei Hu +3 more · 2021 · Frontiers in oncology · Frontiers · added 2026-04-24
Dysfunctional transcription machinery with associated dysregulated transcription characterizes many malignancies. Components of the mediator complex, a principal modulator of transcription, are increa Show more
Dysfunctional transcription machinery with associated dysregulated transcription characterizes many malignancies. Components of the mediator complex, a principal modulator of transcription, are increasingly implicated in cancer. The mediator complex subunit 10 (MED10), a vital kinase module of the mediator, plays a critical role in bladder physiology and pathology. However, its role in the oncogenicity, metastasis, and disease recurrence in bladder cancer (BLCA) remains unclear. Thus, we investigated the role of dysregulated or aberrantly expressed MED10 in the enhanced onco-aggression, disease progression, and recurrence of bladder urothelial carcinoma (UC), as well as the underlying molecular mechanism. Using an array of multi-omics big data analyses of clinicopathological data, Our bioinformatics-aided gene expression profiling showed that MED10 is aberrantly expressed in patients with BLCA, is associated with high-grade disease, is positively correlated with tumor stage, and confers significant survival disadvantage. Reanalyzing the TCGA BLCA cohort (n = 454), we showed that aberrantly expressed MED10 expression is associated with metastatic and recurrent disease, disease progression, immune suppression, and therapy failure. Interestingly, we demonstrated that MED10 interacts with and is co-expressed with the microRNA, hsa-miR-590, and that CRISPR-mediated knockout of MED10 elicits the downregulation of miR-590 preferentially in metastatic UC cells, compared to their primary tumor peers. More so, silencing MED10 in SW1738 and JMSU1 UC cell lines significantly attenuates their cell proliferation, migration, invasion, clonogenicity, and tumorsphere formation (primary and secondary), with the associated downregulation of BCL-xL, MKI67, VIM, SNAI1, OCT4, and LIN28A but upregulated BAX protein expression. In addition, we showed that high MED10 expression is a non-inferior biomarker of urothelial recurrence compared with markers of cancer stemness; however, MED10 is a better biomarker of local recurrence than any of the stemness markers. These data provide preclinical evidence that dysregulated MED10/MIR590 signaling drives onco-aggression, disease progression, and recurrence of bladder UC and that this oncogenic signal is therapeutically actionable for repressing the metastatic/recurrent phenotypes, enhancing therapy response, and shutting down stemness-driven disease progression and relapse in patients with BLCA/UC. Show less
no PDF DOI: 10.3389/fonc.2021.744937
SNAI1
Tam Minh Ly, Yen-Cheng Chen, Ming-Che Lee +5 more · 2021 · Cells · MDPI · added 2026-04-24
SNA is one of the essential EMT transcriptional factors capable of suppressing epithelial maker while upregulating mesenchymal markers. However, the mechanisms for SNA to transactivate mesenchymal mar Show more
SNA is one of the essential EMT transcriptional factors capable of suppressing epithelial maker while upregulating mesenchymal markers. However, the mechanisms for SNA to transactivate mesenchymal markers was not well elucidated. Recently, we demonstrated that SNA collaborates with EGR1 and SP1 to directly upregulate MMP9 and ZEB1. Remarkably, a SNA-binding motif (TCACA) upstream of EGR/SP1 overlapping region on promoters was identified. Herein, we examined whether four other mesenchymal markers, lymphoid enhancer-binding factor (LEF), fibronectin (FN), cyclooxygenase 2 (COX2), and collagen type alpha I (COL1A1) are upregulated by SNA in a similar fashion. Expectedly, SNA is essential for expression of these mesenchymal genes. By deletion mapping and site directed mutagenesis coupled with dual luciferase promoter assay, SNA-binding motif and EGR1/SP1 overlapping region are required for TPA-induced transcription of LEF, FN, COX2 and COL1A1. Consistently, TPA induced binding of SNA and EGR1/SP1 on relevant promoter regions of these mesenchymal genes using ChIP and EMSA. Thus far, we found six of the mesenchymal genes are transcriptionally upregulated by SNA in the same fashion. Moreover, comprehensive screening revealed similar sequence architectures on promoter regions of other SNA-upregulated mesenchymal markers, suggesting that a general model for SNA-upregulated mesenchymal genes can be established. Show less
no PDF DOI: 10.3390/cells10092202
SNAI1
Jiayao Qu, Jia Li, Yaming Zhang +9 more · 2021 · Cell & bioscience · BioMed Central · added 2026-04-24
Aberrant expression of Aldo-Keto reductase family 1 member B10 (AKR1B10) was associated with tumor size and metastasis of breast cancer in our published preliminary studies. However, little is known a Show more
Aberrant expression of Aldo-Keto reductase family 1 member B10 (AKR1B10) was associated with tumor size and metastasis of breast cancer in our published preliminary studies. However, little is known about the detailed function and underlying molecular mechanism of AKR1B10 in the pathological process of breast cancer. The relationship between elevated AKR1B10 expression and the overall survival and disease-free survival of breast cancer patients was analyzed by Kaplan-Meier Plotter database. Breast cancer cell lines overexpressing AKR1B10 (MCF-7/AKR1B10) and breast cancer cell lines with knockdown of AKR1B10 (BT-20/shAKR1B10) were constructed to analyze the impact of AKR1B10 expression on cell proliferation and migration of breast cancer. The expression levels of AKR1B10 were detected and compared in the breast cancer cell lines and tissues by RT-qPCR, western blot and immunohistochemistry. The proliferation of breast cancer cells was monitored by CCK8 cell proliferation assay, and the migration and invasion of breast cancer cells was observed by cell scratch test and transwell assay. The proliferation- and EMT-related proteins including cyclinD1, c-myc, Survivin, Twist, SNAI1, SLUG, ZEB1, E-cadherin, PI3K, p-PI3K, AKT, p-AKT, IKBα, p-IKBα, NF-κB p65, p-NF-κB p65 were detected by western blot in breast cancer cells. MCF-7/AKR1B10 cells were treated with LY294002, a PI3K inhibitor, to consider the impact of AKR1B10 overexpression on the PI3K/AKT/NF-κB signal cascade and the presence of NF-κB p65 in nuclear. In vivo tumor xenograft experiments were used to observe the role of AKR1B10 in breast cancer growth in mice. AKR1B10 expression was significantly greater in breast cancer tissue compared to paired non-cancerous tissue. The expression of AKR1B10 positively correlated with lymph node metastasis, tumor size, Ki67 expression, and p53 expression, but inversely correlated with overall and disease-free survival rates. Gene Ontology analysis showed that AKR1B10 activity contributes to cell proliferation. Overexpression of AKR1B10 facilitated the proliferation of MCF-7 cells, and induced the migration and invasion of MCF-7 cells in vitro in association with induction of epithelial-mesenchymal transition (EMT). Conversely, knockdown of AKR1B10 inhibited these effects in BT-20 cells. Mechanistically, AKR1B10 activated PI3K, AKT, and NF-κB p65, and induced nuclear translocation of NF-κB p65, and expression of proliferation-related proteins including c-myc, cyclinD1, Survivin, and EMT-related proteins including ZEB1, SLUG, Twist, but downregulated E-cadherin expression in MCF-7 cells. AKR1B10 silencing reduced the phosphorylation of PI3K, AKT, and NF-κB p65, the nuclear translocation of NF-κB p65, and the expression of proliferation- and migration-related proteins in BT-20 cells. LY294002, a PI3K inhibitor, attenuated the phosphorylation of PI3K, AKT, and NF-κB p65, and the nuclear translocation of NF-κB p65. In vivo tumor xenograft experiments confirmed that AKR1B10 promoted breast cancer growth in mice. AKR1B10 promotes the proliferation, migration and invasion of breast cancer cells via the PI3K/AKT/NF-κB signaling pathway and represents a novel prognostic indicator as well as a potential therapeutic target in breast cancer. Show less
no PDF DOI: 10.1186/s13578-021-00677-3
SNAI1
Lan Lei, Lian-Lian Hong, Zhe-Nan Ling +4 more · 2021 · Clinical and translational gastroenterology · added 2026-04-24
PFKFB3 regulates glycolysis in tumor cells, might function as an oncogene, and is associated with cancer metastasis. However, its role in gastric cancer (GC) remains largely unknown. PFKFB3 expression Show more
PFKFB3 regulates glycolysis in tumor cells, might function as an oncogene, and is associated with cancer metastasis. However, its role in gastric cancer (GC) remains largely unknown. PFKFB3 expression was assessed by immunohistochemistry (IHC) in GC tissues and paired paracancerous histological normal tissues (PCHNTs). The associations of PFKFB3 expression with clinical features and HIF-1α, Ki-67, E-cadherin, Snail, and Vimentin expression levels were assessed. A series of in vivo and in vitro experiments were performed to investigate the effects of PFKFB3 on the growth, migration, and invasion of GC cells. We found that PFKFB3 expression was significantly higher in GC tissues compared with PCHNTs (P = 0.000). PFKFB3 expression was positively correlated with tumor size (P = 0.000), differentiation (P = 0.025), venous invasion (P = 0.084), nerve invasion (P = 0.014), lymphatic invasion (P = 0.000), local invasion (P = 0.000), invasive depth (P = 0.000), nodal metastasis (P = 0.000), tumor-node-metastasis stage (P = 0.000), and patient survival (P = 0.000). Notably, PFKFB3 upregulation was highly correlated with increased epithelial-mesenchymal transition (EMT) in GC samples. PFKFB3 overexpression positively modulated cell proliferation, migration, and EMT in GC cells in vitro, with concomitant activation of NF-κB signaling. Administration of an NF-κB inhibitor attenuated PFKFB3-induced EMT in GC cells. PFKFB3 overexpression promoted tumor development and EMT in nude mice, which were attenuated by PFK-15, a PFKFB3 inhibitor. PFKFB3 could potentiate malignancy in GC cells through NF-κB pathway-mediated EMT, suggesting PFKFB3 represents a potential target for GC therapy. Show less
no PDF DOI: 10.14309/ctg.0000000000000377
SNAI1
Dan Yin, Zhi-Qiang Hu, Chu-Bin Luo +9 more · 2021 · Clinical and translational medicine · Wiley · added 2026-04-24
Long noncoding RNAs (lncRNAs) are functionally associated with cancer development and progression. Although gene copy number variation (CNV) is common in hepatocellular carcinoma (HCC), it is not know Show more
Long noncoding RNAs (lncRNAs) are functionally associated with cancer development and progression. Although gene copy number variation (CNV) is common in hepatocellular carcinoma (HCC), it is not known how CNV in lncRNAs affects HCC progression and recurrence. We aimed to identify a CNV-related lncRNA involved in HCC progression and recurrence and illustrate its underlying mechanisms and prognostic value. We analyzed the whole genome sequencing (WGS) data of matched cancerous and noncancerous liver samples from 49 patients with HCC to identify lncRNAs with CNV. The results were validated in another cohort of 238 paired HCC and nontumor samples by TaqMan copy number assay. We preformed Kaplan-Meier analysis and log-rank test to identify lncRNA CNV with prognostic value. We conducted loss- and gain-of-function studies to explore the biological functions of LINC01133 in vitro and in vivo. The competing endogenous RNAs (ceRNAs) mechanism was clarified by microRNA sequencing (miR-seq), quantitative real-time PCR (qRT-PCR), western blot, and dual-luciferase reporter assays. We confirmed the binding mechanism between lncRNA and protein by RNA pull-down, RNA immunoprecipitation, qRT-PCR, and western blot analyses. Genomic copy numbers of LINC01133 were increased in HCC, which were positively related with the elevated expression of LINC01133. Increased copy number of LINC01133 predicted the poor prognosis in HCC patients. LINC01133 overexpression in HCC cells promoted proliferation and aggressive phenotypes in vitro, and facilitated tumor growth and lung metastasis in vivo, whereas LINC01133 knockdown had the opposite effects. LINC01133 sponged miR-199a-5p, resulting in enhanced expression of SNAI1, which induced epithelial-to-mesenchymal transition (EMT) in HCC cells. In addition, LINC01133 interacted with Annexin A2 (ANXA2) to activate the ANXA2/STAT3 signaling pathway. LINC01133 promotes HCC progression by sponging miR-199a-5p and interacting with ANXA2. LINC01133 CNV gain is predictive of poor prognosis in patients with HCC. Show less
no PDF DOI: 10.1002/ctm2.409
SNAI1
Chunhua Chen, Shiheng Li, Junli Xue +6 more · 2021 · JCI insight · added 2026-04-24
Although the immune checkpoint role of programmed death ligand 1 (PD-L1) has been established and targeted in cancer immunotherapy, the tumor-intrinsic role of PD-L1 is less appreciated in tumor biolo Show more
Although the immune checkpoint role of programmed death ligand 1 (PD-L1) has been established and targeted in cancer immunotherapy, the tumor-intrinsic role of PD-L1 is less appreciated in tumor biology and therapeutics development, partly because of the incomplete mechanistic understanding. Here we demonstrate a potentially novel mechanism by which PD-L1 promotes the epithelial-mesenchymal transition (EMT) in triple-negative breast cancer (TNBC) cells by suppressing the destruction of the EMT transcription factor Snail. PD-L1 directly binds to and inhibits the tyrosine phosphatase PTP1B, thus preserving p38-MAPK activity that phosphorylates and inhibits glycogen synthase kinase 3β (GSK3β). Via this mechanism, PD-L1 prevents the GSK3β-mediated phosphorylation, ubiquitination, and degradation of Snail and consequently promotes the EMT and metastatic potential of TNBC. Significantly, PD-L1 antibodies that confine the tumor-intrinsic PD-L1/Snail pathway restricted TNBC progression in immunodeficient mice. More importantly, targeting both tumor-intrinsic and tumor-extrinsic functions of PD-L1 showed strong synergistic tumor suppression effect in an immunocompetent TNBC mouse model. Our findings support that PD-L1 intrinsically facilitates TNBC progression by promoting the EMT, and this potentially novel PD-L1 signaling pathway could be targeted for better clinical management of PD-L1-overexpressing TNBCs. Show less
no PDF DOI: 10.1172/jci.insight.131458
SNAI1
Mengmeng Yang, Zongyu Li, Jianping Tao +9 more · 2021 · Journal of cancer research and clinical oncology · Springer · added 2026-04-24
Recent clinical trials with agents targeting immune checkpoint pathway have emerged as an important therapeutic approach for a broad range of cancer types. Resveratrol has been shown to possess cancer Show more
Recent clinical trials with agents targeting immune checkpoint pathway have emerged as an important therapeutic approach for a broad range of cancer types. Resveratrol has been shown to possess cancer preventive and therapeutic effects and has potential to be chemotherapeutic agent/adjuvant. Here, we assessed the effect of resveratrol on immune checkpoint pathways. The expression patterns of Wnt components and PD-L1 were examined by Western blot, Chromatin immunoprecipitation (ChIP) was used for analysis of DNA-protein interaction, the promoter activity was determined by luciferase reporter assay, apoptosis was analyzed by flow cytometry and the ability of the resveratrol to modulate T cell function was assessed in a co-culture system. Although the dose-, and cell-type dependent effects of resveratrol on PD-L1 expression have been reported, we show here that resveratrol dose-dependently upregulates PD-L1 expression at the range of pharmacologic-achievable concentrations in lung cancer cells and that is essential for suppression of T-cell-mediated immune response. We also found that Wnt pathway is critical for mediating resveratrol-induced PD-L1 upregulation. Mechanistically, resveratrol activates SirT1 deacetylase to deacetylate and stabilize transcriptional factor Snail. Snail in turn inhibits transcription of Axin2, which leads in disassembly of destruction complex and enhanced binding of β-catenin/TCF to PD-L1 promoter. We conclude that resveratrol is capable to suppress anti-tumor immunity by controlling mainly PD-L1 expression. This finding will extend the understanding of resveratrol in regulation of tumor immunity and is relevant to the debate on resveratrol supplements for lung cancer patients. Show less
no PDF DOI: 10.1007/s00432-021-03510-z
SNAI1
Xun Tian, Xin Wang, Zifeng Cui +24 more · 2021 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · Wiley · added 2026-04-24
Neoadjuvant chemotherapy (NACT) remains an attractive alternative for controlling locally advanced cervical cancer. However, approximately 15-34% of women do not respond to induction therapy. To devel Show more
Neoadjuvant chemotherapy (NACT) remains an attractive alternative for controlling locally advanced cervical cancer. However, approximately 15-34% of women do not respond to induction therapy. To develop a risk stratification tool, 56 patients with stage IB-IIB cervical cancer are included in 2 research centers from the discovery cohort. Patient-specific somatic mutations led to NACT non-responsiveness are identified by whole-exome sequencing. Next, CRISPR/Cas9-based library screenings are performed based on these genes to confirm their biological contribution to drug resistance. A 15-gene classifier is developed by generalized linear regression analysis combined with the logistic regression model. In an independent validation cohort of 102 patients, the classifier showed good predictive ability with an area under the curve of 0.80 (95% confidence interval (CI), 0.69-0.91). Furthermore, the 15-gene classifier is significantly associated with patient responsiveness to NACT in both univariate (odds ratio, 10.8; 95% CI, 3.55-32.86; Show less
no PDF DOI: 10.1002/advs.202001978
VPS13C
S Neda Mousavy Gharavy, Bryn M Owen, Steven J Millership +23 more · 2021 · Diabetologia · Springer · added 2026-04-24
Variants close to the VPS13C/C2CD4A/C2CD4B locus are associated with altered risk of type 2 diabetes in genome-wide association studies. While previous functional work has suggested roles for VPS13C a Show more
Variants close to the VPS13C/C2CD4A/C2CD4B locus are associated with altered risk of type 2 diabetes in genome-wide association studies. While previous functional work has suggested roles for VPS13C and C2CD4A in disease development, none has explored the role of C2CD4B. CRISPR/Cas9-induced global C2cd4b-knockout mice and zebrafish larvae with c2cd4a deletion were used to study the role of this gene in glucose homeostasis. C2 calcium dependent domain containing protein (C2CD)4A and C2CD4B constructs tagged with FLAG or green fluorescent protein were generated to investigate subcellular dynamics using confocal or near-field microscopy and to identify interacting partners by mass spectrometry. Systemic inactivation of C2cd4b in mice led to marked, but highly sexually dimorphic changes in body weight and glucose homeostasis. Female C2cd4b mice displayed unchanged body weight compared with control littermates, but abnormal glucose tolerance (AUC, p = 0.01) and defective in vivo, but not in vitro, insulin secretion (p = 0.02). This was associated with a marked decrease in follicle-stimulating hormone levels as compared with wild-type (WT) littermates (p = 0.003). In sharp contrast, male C2cd4b null mice displayed essentially normal glucose tolerance but an increase in body weight (p < 0.001) and fasting blood glucose (p = 0.003) after maintenance on a high-fat and -sucrose diet vs WT littermates. No metabolic disturbances were observed after global inactivation of C2cd4a in mice, or in pancreatic beta cell function at larval stages in C2cd4a null zebrafish. Fasting blood glucose levels were also unaltered in adult C2cd4a-null fish. C2CD4B and C2CD4A were partially localised to the plasma membrane, with the latter under the control of intracellular Ca Our studies suggest that C2cd4b may act centrally in the pituitary to influence sex-dependent circuits that control pancreatic beta cell function and glucose tolerance in rodents. However, the absence of sexual dimorphism in the impact of diabetes risk variants argues for additional roles for C2CD4A or VPS13C in the control of glucose homeostasis in humans. The datasets generated and/or analysed during the current study are available in the Biorxiv repository ( www.biorxiv.org/content/10.1101/2020.05.18.099200v1 ). RNA-Seq (GSE152576) and proteomics (PXD021597) data have been deposited to GEO ( www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE152576 ) and ProteomeXchange ( www.ebi.ac.uk/pride/archive/projects/PXD021597 ) repositories, respectively. Show less
no PDF DOI: 10.1007/s00125-020-05350-x
VPS13C
Kheireddin Mufti, Uladzislau Rudakou, Eric Yu +39 more · 2021 · Movement disorders : official journal of the Movement Disorder Society · Wiley · added 2026-04-24
There is only partial overlap in the genetic background of isolated rapid-eye-movement sleep behavior disorder (iRBD) and Parkinson's disease (PD). To examine the role of autosomal dominant and recess Show more
There is only partial overlap in the genetic background of isolated rapid-eye-movement sleep behavior disorder (iRBD) and Parkinson's disease (PD). To examine the role of autosomal dominant and recessive PD or atypical parkinsonism genes in the risk of iRBD. Ten genes, comprising the recessive genes PRKN, DJ-1 (PARK7), PINK1, VPS13C, ATP13A2, FBXO7, and PLA2G6 and the dominant genes LRRK2, GCH1, and VPS35, were fully sequenced in 1039 iRBD patients and 1852 controls of European ancestry, followed by association tests. We found no association between rare heterozygous variants in the tested genes and risk of iRBD. Several homozygous and compound heterozygous carriers were identified, yet there was no overrepresentation in iRBD patients versus controls. Our results do not support a major role for variants in these genes in the risk of iRBD. © 2020 International Parkinson and Movement Disorder Society. Show less
no PDF DOI: 10.1002/mds.28318
VPS13C
Tianqiang Liu, Yue Deng, Zheng Zhang +7 more · 2020 · International journal of molecular sciences · MDPI · added 2026-04-24
The melanocortin receptor 4 (MC4R) signaling system consists of MC4R, MC4R ligands [melanocyte-stimulating hormone (MSH), adrenocorticotropin (ACTH), agouti-related protein (AgRP)], and melanocortin-2 Show more
The melanocortin receptor 4 (MC4R) signaling system consists of MC4R, MC4R ligands [melanocyte-stimulating hormone (MSH), adrenocorticotropin (ACTH), agouti-related protein (AgRP)], and melanocortin-2 receptor accessory protein 2 (MRAP2), and it has been proposed to play important roles in feeding and growth in vertebrates. However, the expression and functionality of this system have not been fully characterized in teleosts. Here, we cloned tilapia Show less
📄 PDF DOI: 10.3390/ijms21197036
MC4R
Zhi Liu, Fuyun Sun, Zitian Liu +8 more · 2020 · Medical science monitor : international medical journal of experimental and clinical research · added 2026-04-24
BACKGROUND The mechanism by which sleeve gastrectomy (SG) improves glycometabolism has remained unclear so far. Increasing evidence has demonstrated that bone is a regulator of glucose metabolism, and Show more
BACKGROUND The mechanism by which sleeve gastrectomy (SG) improves glycometabolism has remained unclear so far. Increasing evidence has demonstrated that bone is a regulator of glucose metabolism, and osteoblast-derived forkhead box O1 (FoxO1) and lipocalin-2 (LCN2) are regulators of energy metabolism. The aim of this study was to investigate whether the FOXO1/LCN2 signaling pathway is involved in the anti-diabetic effect of SG. MATERIAL AND METHODS Insulin resistance was induced in Wistar rats, which were then intraperitoneally injected with streptozotocin to induce a type 2 diabetic state. Levels of fasting blood glucose, serum insulin, HbA1c, and LCN2 were analyzed at corresponding time points after SG and sham surgeries. The expressions of FOXO1, LCN2, and the melanocortin 4 receptor (MC4R) in bone and hypothalamus were detected by immunofluorescence. FOXO1 siRNA was applied to downregulate FOXO1 expression in osteoblasts of rats. The influence of FOXO1 gene on expression of LCN2 was investigated in cultured osteoblasts by western blot and PCR. RESULTS Glucose metabolism in the SG group was significantly improved. The LCN2 expression in bone in the SG group was higher than that in the sham group, whereas FOXO1 expression in the SG group was lower than that in the sham group. The binding rate of LCN2 and MC4R in the hypothalamus was also higher in the SG group compared with that in the sham group. The downregulation of FOXO1 expression in osteoblasts was accompanied by upregulation of LCN2 expression. CONCLUSIONS These results suggest that the FOXO1/LCN2 signaling pathway participates in the anti-diabetic effect of SG. Show less
📄 PDF DOI: 10.12659/MSM.927458
MC4R
J Zhang, J Li, C Wu +6 more · 2020 · Animal genetics · Blackwell Publishing · added 2026-04-24
In humans and mice, melanocortin receptor 4 (MC4R) and melanocortin receptor accessory protein 2 (MRAP2) can form a complex and control energy balance, thus regulating body weight and obesity. In pigs Show more
In humans and mice, melanocortin receptor 4 (MC4R) and melanocortin receptor accessory protein 2 (MRAP2) can form a complex and control energy balance, thus regulating body weight and obesity. In pigs, a missense variant (p.Asp298Asn) of MC4R has been suggested to be associated with growth and fatness; however, the effect of Asp298Asn substitution on MC4R function is controversial, limiting its application in animal breeding. Here we examined the effect of this polymorphism on MC4R constitutive activity, cell surface expression and signaling, and its interaction with MRAP2 in pigs. We found that: (i) both pig MC4R Show less
no PDF DOI: 10.1111/age.12986
MC4R
Yongjun Hu, Kenneth A Gruber, David E Smith · 2020 · Journal of cachexia, sarcopenia and muscle · Wiley · added 2026-04-24
Cachexia is a debilitating, life-threatening condition whose pathology includes reduced food intake accompanied by hypermetabolism, leading to a catabolic state. The hypothalamic melanocortin system i Show more
Cachexia is a debilitating, life-threatening condition whose pathology includes reduced food intake accompanied by hypermetabolism, leading to a catabolic state. The hypothalamic melanocortin system is a critical regulator of metabolic rate with effects being mediated through the melanocortin-4 receptor (MC4R). MC4R activation is also critical to the initiation and maintenance of cachexia. A major problem in the design of anti-cachexia drugs has been the need to cross the blood-brain barrier to access the metabolic rate-controlling centres in the hypothalamus. The overwhelming majority of anti-cachexia drugs are only effective when administered intracerebroventricularly. TCMCB07 is a cyclic nonapeptide peptide MC4R antagonist with parenteral anti-cachexia activity in both small and large animal models. This suggests it can cross the blood-brain barrier. The aim of this study was to examine potential transport mechanisms of TCMCB07 furthering its preclinical development for subsequent studies in humans. In vitro studies were performed in transporter-transfected cells to study whether or not TCMCB07 was an inhibitor as well as substrate for OATP1A2, OATP1B1, OATP1B3, OATP2B1, OCT2, OAT1, OAT3, MATE1, MATE2-K, P-gp (MDR1), and BCRP. In vivo mass balance studies were also performed in mice to evaluate the absorption and disposition of TCMCB07 after oral and intravenous bolus administrations. TCMCB07 inhibited the uptake of prototypical substrates in cells transfected with OATP1A2 (IC OATP1A2 is the transporter responsible for the oral absorption of TCMCB07 in the intestine and for its pharmacologic response in the brain. Show less
📄 PDF DOI: 10.1002/jcsm.12602
MC4R
Lina Qi, Jiani Chen, Yanmei Yang +1 more · 2020 · Frontiers in oncology · Frontiers · added 2026-04-24
It is widely accepted that the oxygen level in tumor tissue is significantly lower than the adjacent normal tissue, thus termed hypoxia. Intratumoral hypoxia represents a major driving force in cancer Show more
It is widely accepted that the oxygen level in tumor tissue is significantly lower than the adjacent normal tissue, thus termed hypoxia. Intratumoral hypoxia represents a major driving force in cancer progression, recurrence, metastasis, and decreased survival. Though multiple gene signatures reflect the complex cellular response to hypoxia have been established in several cancer types such as head and neck, breast, and lung cancers, the hypoxic panorama in colorectal cancer (CRC) remains poorly understood. A hypoxic signature constituted by a total of 356 genes, including canonical hypoxia-responsive ADM, ANGPTL4, CA9, and VEGFA, was established based on systemic literature search. A total of 1,730 CRC samples across four independent cohorts were used for CRCs mainly fell into two subgroups, one indicated as hypoxia and the other one designated as normoxia. Hypoxia was correlated with poor outcomes in CRC and will increase the risk of a subset of stage II patients to the level of normoxic stage III. Additionally, hypoxia was closely associated with activation of RAS signaling pathway independent of These findings will facilitate the development of a hypoxia-oriented therapy strategy to enhance the treatment effect in the near future. Show less
📄 PDF DOI: 10.3389/fonc.2020.566430
ANGPTL4
Luya Cai, Chuan Hu, Shanshan Yu +8 more · 2020 · BMC cancer · BioMed Central · added 2026-04-24
Cervical cancer (CC) is one of the most common gynaecological cancers. The gene signature is believed to be reliable for predicting cancer patient survival. However, there is no relevant study on the Show more
Cervical cancer (CC) is one of the most common gynaecological cancers. The gene signature is believed to be reliable for predicting cancer patient survival. However, there is no relevant study on the relationship between the glycolysis-related gene (GRG) signature and overall survival (OS) of patients with CC. We extracted the mRNA expression profiles of 306 tumour and 13 normal tissues from the University of California Santa Cruz (UCSC) Database. Then, we screened out differentially expressed glycolysis-related genes (DEGRGs) among these mRNAs. All patients were randomly divided into training cohort and validation cohort according to the ratio of 7: 3. Next, univariate and multivariate Cox regression analyses were carried out to select the GRG with predictive ability for the prognosis of the training cohort. Additionally, risk score model was constructed and validated it in the validation cohort. Six mRNAs were obtained that were associated with patient survival. The filtered mRNAs were classified into the protective type (GOT1) and the risk type (HSPA5, ANGPTL4, PFKM, IER3 and PFKFB4). Additionally, by constructing the prognostic risk score model, we found that the OS of the high-risk group was notably poorer, which showed good predictive ability both in training cohort and validation cohort. And the six-gene signature is a prognostic indicator independent of clinicopathological features. Through the verification of PCR, the results showed that compared with the normal cervial tissuses, the expression level of six mRNAs were significantly higher in the CC tissue, which was consistent with our findings. We constructed a glycolysis-related six-gene signature to predict the prognosis of patients with CC using bioinformatics methods. We provide a thorough comprehension of the effect of glycolysis in patients with CC and provide new targets and ideas for individualized treatment. Show less
📄 PDF DOI: 10.1186/s12885-020-07598-3
ANGPTL4
Mingyang Li, Jingwen Hu, Lihua Yao +1 more · 2020 · Journal of cellular and molecular medicine · Blackwell Publishing · added 2026-04-24
Insufficient endometrial angiogenesis during peri-implantation impairs endometrial receptivity (ER), which contributes to recurrent implantation failure (RIF) during in vitro fertilization and embryo Show more
Insufficient endometrial angiogenesis during peri-implantation impairs endometrial receptivity (ER), which contributes to recurrent implantation failure (RIF) during in vitro fertilization and embryo transfer (IVF-ET). Angiopoietin-like protein 4 (ANGPTL4) acts as a multifunctional secretory protein and is involved in the regulation of lipid metabolism and angiogenesis in various tissues including the endometrium. Herein, we found decreased ANGPTL4 expression in endometrial tissue and serum during peri-implantation period in 18 RIF-affected women with elevated uterine arterial impedance (UAI) compared with the pregnancy controls. ANGPTL4 and peroxisome proliferator-activated receptor gamma (PPARγ) expression were up-regulated upon decidualization on human endometrial stromal cells (HESCs). Rosiglitazone promoted the expression of ANGPTL4 in HESCs and human umbilical vein endothelial cells (HUVECs) via PPARγ. ANGPTL4 promoted the proliferation, migration and angiogenesis of HUVECs in vitro. Our results suggest that decreased abundance of ANGPTL4 in endometrial tissues impairs the endometrial receptivity via restraining endometrial angiogenesis during decidualization; while rosiglitazone-induced ANGPTL4 up-regulation in hESCs and HUVECs through PPARγ. Therefore, ANGPTL4 could be a potential therapeutic approach for some RIF-affected women with elevated UAI. Show less
📄 PDF DOI: 10.1111/jcmm.15696
ANGPTL4