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572 results on '"Hu, Zhonghua"'

5. PINK1-mediated Drp1S616 phosphorylation modulates synaptic development and plasticity via promoting mitochondrial fission.

Author

Gao, Qingtao, Tian, Runyi, Han, Hailong, Slone, Jesse, Wang, Caifang, Ke, Xiao, Zhang, Tongmei, Li, Xiangyu, He, Yuhong, Liao, Panlin, Wang, Fang, Chen, Ye, Fu, Shiqing, Zhang, Kexuan, Zeng, Fangfang, Yang, Yingxuan, Li, Zhuo, Tan, Jieqiong, Li, Jiada, Lu, Youming, Huang, Taosheng, Hu, Zhonghua, and Zhang, Zhuohua

Subjects
Mitochondria, Animals, Mice, Knockout, Mice, Dynamins, Protein Kinases, Phosphorylation, Mitochondrial Dynamics, Neurosciences, 1.1 Normal biological development and functioning, Underpinning research, Neurological
Abstract

Dynamic change of mitochondrial morphology and distribution along neuronal branches are essential for neural circuitry formation and synaptic efficacy. However, the underlying mechanism remains elusive. We show here that Pink1 knockout (KO) mice display defective dendritic spine maturation, reduced axonal synaptic vesicles, abnormal synaptic connection, and attenuated long-term synaptic potentiation (LTP). Drp1 activation via S616 phosphorylation rescues deficits of spine maturation in Pink1 KO neurons. Notably, mice harboring a knockin (KI) phosphor-null Drp1S616A recapitulate spine immaturity and synaptic abnormality identified in Pink1 KO mice. Chemical LTP (cLTP) induces Drp1S616 phosphorylation in a PINK1-dependent manner. Moreover, phosphor-mimetic Drp1S616D restores reduced dendritic spine localization of mitochondria in Pink1 KO neurons. Together, this study provides the first in vivo evidence of functional regulation of Drp1 by phosphorylation and suggests that PINK1-Drp1S616 phosphorylation coupling is essential for convergence between mitochondrial dynamics and neural circuitry formation and refinement.

Published
2022

18. A Coordination Planning Method of the Hybrid Two-Arm Space Robot for On-Orbit Servicing

Author

Hu, Zhonghua, Xu, Wenfu, Yang, Taiwei, Yuan, Han, Zou, Huaiwu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Xin-Jun, editor, Nie, Zhenguo, editor, Yu, Jingjun, editor, Xie, Fugui, editor, and Song, Rui, editor

Published
2021
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34. KCNH2-3.1 mediates aberrant complement activation and impaired hippocampal-medial prefrontal circuitry associated with working memory deficits

Author

Ren, Ming, Hu, Zhonghua, Chen, Qiang, Jaffe, Andrew, Li, Yingbo, Sadashivaiah, Vijay, Zhu, Shujuan, Rajpurohit, Nina, Heon Shin, Joo, Xia, Wei, Jia, Yankai, Wu, Jingxian, Lang Qin, Sunny, Li, Xinjian, Zhu, Jian, Tian, Qingjun, Paredes, Daniel, Zhang, Fengyu, Wang, Kuan Hong, Mattay, Venkata S., Callicott, Joseph H., Berman, Karen F., Weinberger, Daniel R., and Yang, Feng

Published
2020
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37. A Two-Phase Model of Resource Allocation in Visual Working Memory

Author

Ye, Chaoxiong, Hu, Zhonghua, Li, Hong, Ristaniemi, Tapani, Liu, Qiang, and Liu, Taosheng

Abstract

Two broad theories of visual working memory (VWM) storage have emerged from current research, a discrete slot-based theory and a continuous resource theory. However, neither the discrete slot-based theory or continuous resource theory clearly stipulates how the mental commodity for VWM (discrete slot or continuous resource) is allocated. Allocation may be based on the number of items via stimulus-driven factors, or it may be based on task demands via voluntary control. Previous studies have obtained conflicting results regarding the automaticity versus controllability of such allocation. In the current study, we propose a two-phase allocation model, in which the mental commodity could be allocated only by stimulus-driven factors in the early consolidation phase. However, when there is sufficient time to complete the early phase, allocation can enter the late consolidation phase, where it can be flexibly and voluntarily controlled according to task demands. In an orientation recall task, we instructed participants to store either fewer items at high-precision or more items at low-precision. In 3 experiments, we systematically manipulated memory set size and exposure duration. We did not find an effect of task demands when the set size was high and exposure duration was short. However, when we either decreased the set size or increased the exposure duration, we found a trade-off between the number and precision of VWM representations. These results can be explained by a two-phase model, which can also account for previous conflicting findings in the literature.

Published
2017
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