Tong Hao

Prof. Tong Hao

orcid

Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

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

Representative Publications

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Verified
Journal Article
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THTong Hao
Tong Hao
WPWei Peng
Wei Peng
QWQian Wang
Qian Wang
BWBin Wang
Bin Wang
JSJinsheng Sun
Jinsheng Sun
The protein-protein interaction network (PIN) is a useful tool for systematic investigation of the complex biological activities in the cell. With the increasing interests on the proteome-wide interaction networks, PINs have been reconstructed for many species, including virus, bacteria, plants, animals, and humans. With the development of biological techniques, the reconstruction methods of PIN are further improved. PIN has gradually penetrated many fields in biological research. In this work we systematically reviewed the development of PIN in the past fifteen years, with respect to its reconstruction and application of function annotation, subsystem investigation, evolution analysis, hub protein analysis, and regulation mechanism analysis. Due to the significant role of PIN in the in-depth exploration of biological process mechanisms, PIN will be preferred by more and more researchers for the systematic study of the protein systems in various kinds of organisms.

13 April 2017 in Scientific Reports
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ZSZhanpeng Sun
Zhanpeng Sun
THTong Hao
Tong Hao
JTJinze Tian
Jinze Tian
Exosomes are small membrane particles which are widely found in various cell lines and physiological fluids in mammalian. MicroRNAs (miRNAs) enclosed in exosomes have been identified as proper signatures for many diseases and response to therapies. However, the composition of exosomes and enclosed miRNAs in fishes has not been investigated. Cynoglossus semilaevis is an important commercial flatfish with ambiguous distinction between males and females before sex maturation, which leads to screening difficulty in reproduction and cultivation. An effective detection method was required for sex differentiation of C. semilaevis. In this work, we successfully identified exosomes in C. semilaevis serum. The analysis of nucleotide composition showed that miRNA dominated in exosomes. Thereafter the miRNA profiles in exosomes from males and females were sequenced and compared to identify the signature miRNAs corresponding to sex differentiation. The functions of signature miRNAs were analyzed by target matching and annotation. Furthermore, 7 miRNAs with high expression in males were selected from signature miRNAs as the markers for sex identification with their expression profiles verified by real time quantitative PCR. Exosomes were first found in fish serum in this work. Investigation of marker miRNAs supplies an effective index for the filtration of male and female C. semilaevis in cultivation.

6 November 2015 in Molecular BioSystems
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QNQianji Ning
Qianji Ning
QNQianji Ning
Qianji Ning
THTong Hao
Tong Hao
AYAiling Yu
Ailing Yu
JSJinsheng Sun
Jinsheng Sun
The eyestalk of Eriocheir sinensis has significant biological functions with many nerve peptide hormones expressed in the X-organ which exists in the eyestalk. A metabolic network model is an effective tool for the systematic study of E. sinensis eyestalks. In this work, we reconstructed a metabolic network model for E. sinensis eyestalks based on transcriptome sequencing. The model contains 1304 reactions, 1381 unigenes and 1243 metabolites distributing in 98 pathways. The reconstructed metabolic network model was used for the functional module and block metabolite analysis of eyestalks, which reveals that the function of the eyestalk network agrees with its function as the centre of the E. sinensis endocrine system. The difference expression analysis of reactions in the model indicates that the eyestalk mainly functions in the regulation of amino acids, carbohydrate and nucleotide metabolism.

14 October 2019 in IEEE Access
Verified
Journal Article
Open access
ALAnan Liu
Anan Liu
NHNian Hu
Nian Hu
DSDan Song
Dan Song
FGFu-Bin Guo
Fu-Bin Guo
HZHe-Yu Zhou
He-Yu Zhou
THTong Hao
Tong Hao

12 May 2021 in Frontiers in Genetics
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Journal Article
Open access
CGChenchen Gao
Chenchen Gao
JYJiarui Yang
Jiarui Yang
THTong Hao
Tong Hao
JLJingjing Li
Jingjing Li
JSJin-Sheng Sun
Jin-Sheng Sun
As an important tool for systematic analysis, genome-scale metabolic network (GSMN) model has been widely used in various organisms. However, there are few reports on the GSMNs of aquatic crustaceans. Litopenaeus vannamei is the largest and most productive shrimp species. Feed improvement is one of the important methods to improve the yield of L. vannamei and control water pollution caused by the inadequate absorption of feed. In this work, the first L. vannamei GSMN named iGH3005 was reconstructed and applied to the optimization of feed. iGH3005 was reconstructed based on the genomic data. The model includes 2,292 reactions and 3,005 genes. iGH3005 was used to analyze the nutritional requirements of five different L. vannamei commercial varieties and the genes influencing the metabolism of the nutrients. Based on the simulation, we found that tyrosine-protein kinase src64b like may catalyze different reactions in different commercial varieties. The preference of carbohydrate utilization is different in various commercial varieties, which may due to the different expressions of some genes. In addition, this investigation suggests that a rational and targeted modification in the macronutrient content of shrimp feed would lead to an increase in growth and feed conversion rate. The feed for different commercial varieties should be adjusted accordingly, and possible adjustment schemes were provided. The results of this work provided important information for physiological research and optimization of the components in feed of L. vannamei.

27 March 2014 in BMC Systems Biology
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Journal Article
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THTong Hao
Tong Hao
ZZZheng Zeng
Zheng Zeng
BWBin Wang
Bin Wang
YZYichen Zhang
Yichen Zhang
YLYichen Liu
Yichen Liu
JSJinsheng Sun
Jinsheng Sun
The protein-protein interaction network (PIN) is an effective information tool for understanding the complex biological processes inside the cell and solving many biological problems such as signaling pathway identification and prediction of protein functions. Eriocheir sinensis is a highly-commercial aquaculture species with an unclear proteome background which hinders the construction and development of PIN for E. sinensis. However, in recent years, the development of next-generation deep-sequencing techniques makes it possible to get high throughput data of E. sinensis tanscriptome and subsequently obtain a systematic overview of the protein-protein interaction system.