Jianshe Zhang

Prof. Dr. Jianshe Zhang


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2016 in Gene Expression Patterns
Verified
Journal Article
Closed access
XZXin Zhu
Xin Zhu
YLYu-Long Li
Yu-Long Li
LLLi Liu
Li Liu
JWJian-Hua Wang
Jian-Hua Wang
HLHong-Hui Li
Hong-Hui Li
JZJianshe Zhang
Jianshe Zhang

21 January 2020 in Marine Biotechnology
Verified
Journal Article
Closed access
PDF file
PWPing Wu
Ping Wu
AWAimin Wang
Aimin Wang
JCJia Cheng
Jia Cheng
LCLin Chen
Lin Chen
YPYaxiong Pan
Yaxiong Pan
JZJianshe Zhang
Jianshe Zhang

22 July 2023 in International Journal of Biological Macromolecules
Verified
Journal Article
Closed access
LCLin Chen
Lin Chen
YPYaxong Pan
Yaxong Pan
JCJia Cheng
Jia Cheng
XZXin Zhu
Xin Zhu
WCWuying Chu
Wuying Chu
JZJianshe Zhang
Jianshe Zhang

1 October 2021 in Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology
Verified
Journal Article
Closed access
YPYaxiong Pan
Yaxiong Pan
LCLin Chen
Lin Chen
JCJia Cheng
Jia Cheng
XZXin Zhu
Xin Zhu
PWPing Wu
Ping Wu
JZJianshe Zhang
Jianshe Zhang

8 December 2016 in BMC Genomics
Verified
Journal Article
Open access
PDF file
PWPing Wu
Ping Wu
YLYu-Long Li
Yu-Long Li
JCJia Cheng
Jia Cheng
LCLin Chen
Lin Chen
XZXin Zhu
Xin Zhu
WCWuying Chu
Wuying Chu
Clock genes are considered to be the molecular core of biological clock in vertebrates and they are directly involved in the regulation of daily rhythms in vertebrate tissues such as skeletal muscles. Fish myotomes are composed of anatomically segregated fast and slow muscle fibers that possess different metabolic and contractile properties. To date, there is no report on the characterization of the circadian clock system components of slow muscles in fish. In the present study, the molecular clock components (clock, arntl1/2, cry1/2/3, cry-dash, npas2, nr1d1/2, per1/2/3, rorα and tim genes) and their daily transcription levels were characterized in slow and fast muscles of Chinese perch (Siniperca chuatsi). Among the 15 clock genes, nrld2 and per3 had no daily rhythmicity in slow muscles, and cry2/3 and tim displayed no daily rhythmicity in fast muscles of the adult fish. In the slow muscles, the highest expression of the most clock paralogs occurred at the dark period except arntl1, nr1d1, nr1d2 and tim. With the exception of nr1d2 and tim, the other clock genes had an acrophase at the light period in fast muscles. The circadian expression of the myogenic regulatory factors (mrf4 and myf5), mstn and pnca showed either a positive or a negative correlation with the transcription pattern of the clock genes in both types of muscles. It was the first report to unravel the molecular clock components of the slow and fast muscles in vertebrates. The expressional pattern differences of the clock genes between the two types of muscle fibers suggest that the clock system may play key roles on muscle type-specific tissue maintenance and function.

28 November 2017 in Scientific Reports
Verified
Journal Article
Open access
PDF file
WCWuYing Chu
WuYing Chu
FZFangLiang Zhang
FangLiang Zhang
RSRui Song
Rui Song
YLYuLong Li
YuLong Li
PWPing Wu
Ping Wu
JZJianshe Zhang
Jianshe Zhang
Fish myotomes are comprised of anatomically segregated fast and slow muscle fibers that possess different metabolic and contractile properties. Although the expression profile properties in fast and slow muscle fibers had been investigated at the mRNA levels, a comprehensive analysis at proteomic and microRNA transcriptomic levels is limited. In the present study, we first systematically compared the proteomic and microRNA transcriptome of the slow and fast muscles of Chinese perch (Siniperca chuatsi). Total of 2102 proteins were identified in muscle tissues. Among them, 99 proteins were differentially up-regulated and 400 were down-regulated in the fast muscle compared with slow muscle. MiRNA microarrays revealed that 199 miRNAs identified in the two types of muscle fibers. Compared with the fast muscle, the 32 miRNAs was up-regulated and 27 down-regulated in the slow muscle. Specifically, expression of miR-103 and miR-144 was negatively correlated with SmyD1a and SmyD1b expression in fast and slow muscles, respectively. The luciferase reporter assay further verified that the miR-103 and miR-144 directly regulated the SmyD1a and SmyD1b expression by targeting their 3′-UTR. The constructed miRNA-SmyD1 interaction network might play an important role in controlling the development and performance of different muscle fiber types in Chinese perch.