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Tao Huang

Researcher at Chinese Academy of Sciences

Publications -  325
Citations -  12593

Tao Huang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 41, co-authored 248 publications receiving 10196 citations. Previous affiliations of Tao Huang include CAS-MPG Partner Institute for Computational Biology & Shanghai Mental Health Center.

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Detecting the Multiomics Signatures of Factor-Specific Inflammatory Effects on Airway Smooth Muscles

TL;DR: In this paper, the authors identified specific regulatory factors and a series of rules that contribute to the activation and stimulation of airway smooth muscles by IL-13, IL-17, or the combination of both interleukins on the epigenetic and/or transcriptional levels.
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Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network.

TL;DR: This study analyzed the gene expression profiles of CD4+ T cells from HIV-1-resistant individuals and HIV-susceptible individuals to identify discriminative HIV- 1 resistance genes and identified 29 infection information exchanger genes that are located on the shortest paths between virus-targeted proteins and are important for the coordination of virus infection.
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Prediction and analysis of protein hydroxyproline and hydroxylysine.

TL;DR: A novel sequence-based method for identifying the two main types of hydroxylation sites – hydroxyproline and hydroxylysine was developed and suggested that physicochemical properties and biochemical properties and evolution information of amino acids contribute much to the identification of the protein hydroxyation sites, while structural disorder had little relation to protein hydoxylation.
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A method to distinguish between lysine acetylation and lysine ubiquitination with feature selection and analysis.

TL;DR: A novel method to discriminate ubiquitinated and acetylated lysine residues with feature selection and analysis, and supported previous findings that different motifs were employed by acetylation and ubiquitination.
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Inter-tissue coexpression network analysis reveals DPP4 as an important gene in heart to blood communication

TL;DR: This work developed a novel strategy to study inter-tissue interaction by removing effects of genetic regulation of gene expression (genetic decorrelation) and derived modules of genes important in inter-Tissue interactions that are likely driven by biological signal exchange instead of their common genetic basis.