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Zili Zhang

Researcher at Aarhus University

Publications -  121
Citations -  3798

Zili Zhang is an academic researcher from Aarhus University. The author has contributed to research in topics: Medicine & Hepatic stellate cell. The author has an hindex of 19, co-authored 92 publications receiving 1455 citations. Previous affiliations of Zili Zhang include Nanjing University of Chinese Medicine & Nanjing Tech University.

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Journal ArticleDOI

Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)

Daniel J. Klionsky, +2983 more
- 08 Feb 2021 - 
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
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Activation of ferritinophagy is required for the RNA-binding protein ELAVL1/HuR to regulate ferroptosis in hepatic stellate cells

Zili Zhang, +7 more
- 21 Aug 2018 - 
TL;DR: It is reported that the RNA-binding protein ELAVL1/HuR plays a crucial role in regulating ferroptosis in liver fibrosis and is identified as a potential target for the treatment of liver fibrotic patients with hepatocellular carcinoma receiving sorafenib monotherapy.
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RNA-binding protein ZFP36/TTP protects against ferroptosis by regulating autophagy signaling pathway in hepatic stellate cells.

Zili Zhang, +10 more
- 01 Aug 2020 - 
TL;DR: It is shown that the RNA-binding protein ZFP36/TTP (ZFP36 ring finger protein) plays a crucial role in regulating ferroptosis in hepatic stellate cells (HSCs) and is identified as a potential target for the treatment of liver fibrosis.
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Curcumol induces RIPK1/RIPK3 complex-dependent necroptosis via JNK1/2-ROS signaling in hepatic stellate cells.

Yan Jia, +12 more
- 01 Oct 2018 - 
TL;DR: A potential clinical use of curcumol-targeted RIPK1/RIPK3 complex-dependent necroptosis via JNK1/2-ROS signaling for the treatment of hepatic fibrosis is suggested.
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Robotic excavator trajectory control using an improved GA based PID controller

Hao Feng, +7 more
- 15 May 2018 - 
TL;DR: It was demonstrated from the experimental work that the proposed IGA based PID controller improves the trajectory accuracy of the horizontal line and slope line trajectories by 23.98% and 23.64%, respectively in comparison to the SGA tuned PID controller.