Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Mingyan Zhu"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Early prognostic assessment of patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is important for guiding clinical management and reducing mortality. The aim of this study was to dynamically monitor the clinic
Externí odkaz:
https://doaj.org/article/902bcdcaf5044c49b25d3ee2c556b410
Autor:
Qian Bao, Dongqian Li, Xinyu Yang, Shiqi Ren, Haoxiang Ding, Chengfeng Guo, Jian Wan, Yicheng Xiong, MingYan Zhu, Yao Wang
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36234- (2024)
Background: Pancreatic cancer (PC), characterized by its aggressive nature and low patient survival rate, remains a challenging malignancy. Anoikis, a process inhibiting the spread of metastatic cancer cells, is closely linked to cancer progression a
Externí odkaz:
https://doaj.org/article/d05921a3951d4c7193a393a1a77e8db2
Autor:
Jiaxin Deng, Qian Liu, Linxi Ye, Shuo Wang, Zhenyan Song, Mingyan Zhu, Fangfang Qiang, Yulin Zhou, Zhen Guo, Wei Zhang, Ting Chen
Publikováno v:
Biomedicine & Pharmacotherapy, Vol 173, Iss , Pp 116337- (2024)
In myocardial ischemia/reperfusion injury (MIRI), moderate mitophagy is a protective or adaptive mechanism because of clearing defective mitochondria accumulates during MIRI. However, excessive mitophagy lead to an increase in defective mitochondria
Externí odkaz:
https://doaj.org/article/ab4c830a9d9943e5b0243718c9a1022c
Autor:
Qun Cai, Mingyan Zhu, Jinnan Duan, Hao Wang, Jingdan Chen, Yixin Xiao, Yangqin Wang, Jianfang Wang, Xuewen Yu, Hui Yang
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
Increased expression of TK1 is associated with the progression of a variety of tumors. However, the relationship of TK1 expression with immune cell infiltration and its prognostic value in hepatocellular carcinoma (HCC) are still unknown. In this stu
Externí odkaz:
https://doaj.org/article/e52e7daf8d5743afa21de558d4d16978
Autor:
Bo Li, Xiaopeng Hu, Yanzhou Yang, Mingyan Zhu, Jiong Zhang, Yanrong Wang, Xiuying Pei, Huchen Zhou, Ji Wu
Publikováno v:
Molecular Therapy: Nucleic Acids, Vol 17, Iss , Pp 436-447 (2019)
Several studies have recently revealed the regulatory mechanisms underlying female germline stem cell (FGSC) differentiation, proliferation, and apoptosis, but other biological processes such as autophagy and its mechanism in FGSCs are largely unclea
Externí odkaz:
https://doaj.org/article/655ac0517ddf458691f4cc0954a51285
Publikováno v:
Journal of International Medical Research, Vol 47 (2019)
Objective Acute decompensation (AD) in liver cirrhosis has high mortality. We assessed prognostic scoring models and established prediction models for different etiologies of AD. Methods This retrospective analysis included 732 patients hospitalized
Externí odkaz:
https://doaj.org/article/22af7d9244814461800cc4a1fb3a3f66
Autor:
Xinyue Li, Xiaopeng Hu, Geng G. Tian, Ping Cheng, Zezhong Li, Mingyan Zhu, Huchen Zhou, Ji Wu
Publikováno v:
Cells, Vol 8, Iss 6, p 606 (2019)
Postnatal female germline stem cells (FGSCs) are a type of germline stem cell with self-renewal ability and the capacity of differentiation toward oocyte. The proliferation, differentiation, and apoptosis of FGSCs have been researched in recent years
Externí odkaz:
https://doaj.org/article/6f22c84888394092b0c4fb86a7c7b9eb
Autor:
Adam Lesiak, Carl Pelz, Hideaki Ando, Mingyan Zhu, Monika Davare, Talley J Lambert, Katelin F Hansen, Karl Obrietan, Suzanne M Appleyard, Soren Impey, Gary A Wayman
Publikováno v:
PLoS ONE, Vol 8, Iss 6, p e64658 (2013)
Neurotrophin-regulated gene expression is believed to play a key role in long-term changes in synaptic structure and the formation of dendritic spines. Brain-derived neurotrophic factor (BDNF) has been shown to induce increases in dendritic spine for
Externí odkaz:
https://doaj.org/article/a3c8cf67529047d79eb49e6cf3031e8d
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:1069-1073
Publikováno v:
IEEE Transactions on Information Forensics and Security. 18:2318-2332
Deep learning, especially deep neural networks (DNNs), has been widely and successfully adopted in many critical applications for its high effectiveness and efficiency. The rapid development of DNNs has benefited from the existence of some high-quali