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Correction to: E3 ubiquitin ligase UBR5 modulates circadian rhythm by facilitating the ubiquitination and degradation of the key clock transcription factor BMAL1 (Acta Pharmacologica Sinica, (2024), 10.1038/s41401-024-01290-z) Other
2024-12-01
Authors:  Duan, Chun Yan;  Li, Yue;  Zhi, Hao Yu;  Tian, Yao;  Huang, Zheng Yun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/07/04
Susceptibility of Mitophagy-Deficient Tumors to Ferroptosis Induction by Relieving the Suppression of Lipid Peroxidation Journal article
Liu, Shan, Chen, Jing Hong, Li, Li Chao, Ye, Zhi Peng, Liu, Jian Nan, Chen, Yu Hong, Hu, Bing Xin, Tang, Jia Hong, Feng, Gong Kan, Li, Zhi Ming, Deng, Chu Xia, Deng, Rong, Zhu, Xiao Feng, Zhang, Hai Liang. Susceptibility of Mitophagy-Deficient Tumors to Ferroptosis Induction by Relieving the Suppression of Lipid Peroxidation[J]. Advanced Science, 2024.
Authors:  Liu, Shan;  Chen, Jing Hong;  Li, Li Chao;  Ye, Zhi Peng;  Liu, Jian Nan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.3/16.3 | Submit date：2024/12/26
Ferroptosis  Mitophagy-deficient Tumors  Lipid Peroxidation  Parkin  
Recent Advances in the 3D Printing of Conductive Hydrogels for Sensor Applications: A Review Journal article
Liang, Xiaoxu, Zhang, Minghui, Chong, Cheong Meng, Lin, Danlei, Chen, Shiji, Zhen, Yumiao, Ding, Hongyao, Zhong, Hai Jing. Recent Advances in the 3D Printing of Conductive Hydrogels for Sensor Applications: A Review[J]. Polymers, 2024, 16(15).
Authors:  Liang, Xiaoxu;  Zhang, Minghui;  Chong, Cheong Meng;  Lin, Danlei;  Chen, Shiji; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.7/4.9 | Submit date：2024/12/05
3D printing  application  conductive hydrogels  fabrication  sensors  
Recent Advances in the 3D Printing of Conductive Hydrogels for Sensor Applications: A Review Journal article
Liang, Xiaoxu, Zhang, Minghui, Chong, Cheong Meng, Lin, Danlei, Chen, Shiji, Zhen, Yumiao, Ding, Hongyao, Zhong, Hai Jing. Recent Advances in the 3D Printing of Conductive Hydrogels for Sensor Applications: A Review[J]. Polymers, 2024, 16(15), 2131.
Authors:  Liang, Xiaoxu;  Zhang, Minghui;  Chong, Cheong Meng;  Lin, Danlei;  Chen, Shiji; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.7/4.9 | Submit date：2024/09/03
3d Printing  Application  Conductive Hydrogels  Fabrication  Sensors  
AMBRA1 drives gastric cancer progression through regulation of tumor plasticity Journal article
Ye, Liuqi, Lin, Danlei, Zhang, Wen, Chen, Shiji, Zhen, Yumiao, Akkouche, Sara, Liang, Xiaoxu, Chong, Cheong Meng, Zhong, Hai Jing. AMBRA1 drives gastric cancer progression through regulation of tumor plasticity[J]. Frontiers in Immunology, 2024, 15.
Authors:  Ye, Liuqi;  Lin, Danlei;  Zhang, Wen;  Chen, Shiji;  Zhen, Yumiao; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.7/6.8 | Submit date：2025/01/13
AMBRA1  cell cycle  gastric cancer  senescence  tumor plasticity  
Strategies targeting endoplasmic reticulum stress to improve Parkinson's disease Journal article
Wang, Danni, Qu, Shuhui, Zhang, Zaijun, Tan, Liang, Chen, Xiuping, Zhong, Hai-Jing, Chong, Cheong Meng. Strategies targeting endoplasmic reticulum stress to improve Parkinson's disease[J]. Frontiers in Pharmacology, 2023, 14, 1288894.
Authors:  Wang, Danni;  Qu, Shuhui;  Zhang, Zaijun;  Tan, Liang;  Chen, Xiuping; et al.
Favorite | TC[WOS]:3 TC[Scopus]:2  IF:4.4/5.0 | Submit date：2023/12/11
Er Stress  Parkinson’s Disease  Dopaminergic Neurons  Protein Homeostasis  Unfolded Protein Response  
Secondhand smoking exposure and quality of life among pregnant and postnatal women: a network approach Journal article
Yang, Yuan, Zhang, Meng, Bo, Hai Xin, Zhang, Dong Ying, Ma, Liang Kun, Wang, Pei Hong, Liu, Xiao Hua, Ge, Li Na, Lin, Wen Xuan, Xu, Yang, Zhang, Ya Lan, Li, Feng Juan, Xu, Xu Juan, Wu, Hong He, Jackson, Todd, Ungvari, Gabor S., Cheung, Teris, Meng, Li Rong, Xiang, Yu Tao. Secondhand smoking exposure and quality of life among pregnant and postnatal women: a network approach[J]. BMJ Open, 2022, 12(9), e060635.
Authors:  Yang, Yuan;  Zhang, Meng;  Bo, Hai Xin;  Zhang, Dong Ying;  Ma, Liang Kun; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.4/2.7 | Submit date：2022/10/06
Development of in silico methodology for siRNA lipid nanoparticle formulations Journal article
Gao, Haoshi, Kan, Stanislav, Ye, Zhuyifan, Feng, Yuchen, Jin, Lei, Zhang, Xudong, Deng, Jiayin, Chan, Ging, Hu, Yuanjia, Wang, Yongjun, Cao, Dongsheng, Ji, Yuanhui, Liang, Mingtao, Li, Haifeng, Ouyang, Defang. Development of in silico methodology for siRNA lipid nanoparticle formulations[J]. Chemical Engineering Journal, 2022, 442, 136310.
Authors:  Gao, Haoshi;  Kan, Stanislav;  Ye, Zhuyifan;  Feng, Yuchen;  Jin, Lei; et al.
Favorite | TC[WOS]:17 TC[Scopus]:17  IF:13.3/13.2 | Submit date：2022/05/13
Cationic Lipids  Knockdown Efficiency  Lipid Nanoparticle  Machine Learning  Molecular Dynamic Simulation  Sirna  
[Fe(CN)6] vacancy-boosting oxygen evolution activity of Co-based Prussian blue analogues for hybrid sodium-air battery Journal article
Kang, Y., Wang, S., Hui, K. S., Li, H. F., Liang, F., Wu, X. L., Zhang, Q., Zhou, W., Chen, L., Chen, F., Hui, K. N.. [Fe(CN)6] vacancy-boosting oxygen evolution activity of Co-based Prussian blue analogues for hybrid sodium-air battery[J]. Materials Today Energy, 2021, 20, 100572.
Authors:  Kang, Y.;  Wang, S.;  Hui, K. S.;  Li, H. F.;  Liang, F.; et al.
Favorite | TC[WOS]:39 TC[Scopus]:44  IF:9.0/8.4 | Submit date：2021/09/10
Aqueous Sodium-air Battery  Oxygen Evolution Reaction  Surface Electronic Configuration  [Fe(Cn)6] Vacancies  
Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements Journal article
Zhou, Kai, Sun, Yaoting, Li, Lu, Zang, Zelin, Wang, Jing, Li, Jun, Liang, Junbo, Zhang, Fangfei, Zhang, Qiushi, Ge, Weigang, Chen, Hao, Sun, Xindong, Yue, Liang, Wu, Xiaomai, Shen, Bo, Xu, Jiaqin, Zhu, Hongguo, Chen, Shiyong, Yang, Hai, Huang, Shigao, Peng, Minfei, Lv, Dongqing, Zhang, Chao, Zhao, Haihong, Hong, Luxiao, Zhou, Zhehan, Chen, Haixiao, Dong, Xuejun, Tu, Chunyu, Li, Minghui, Zhu, Yi, Chen, Baofu, Li, Stan Z., Guo, Tiannan. Eleven routine clinical features predict COVID-19 severity uncovered by machine learning of longitudinal measurements[J]. Computational and Structural Biotechnology Journal, 2021, 19, 3640-3649.
Authors:  Zhou, Kai;  Sun, Yaoting;  Li, Lu;  Zang, Zelin;  Wang, Jing; et al.
Favorite | TC[WOS]:26 TC[Scopus]:29  IF:4.4/5.0 | Submit date：2021/12/07
Covid-19  Sars-cov-2  Severity Prediction  Machine Learning  Routine Clinical Test  Longitudinal Dynamics