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Articles by Hongzhe Li
Total Records ( 2 ) for Hongzhe Li
  Caiyan Li , Zhi Wei and Hongzhe Li
  Empirical Bayes methods are widely used in the analysis of microarray gene expression data in order to identify the differentially expressed genes or genes that are associated with other general phenotypes. Available methods often assume that genes are independent. However, genes are expected to function interactively and to form molecular modules to affect the phenotypes. In order to account for regulatory dependency among genes, we propose in this paper a network-based empirical Bayes method for analyzing genomic data in the framework of linear models, where the dependency of genes is modeled by a discrete Markov random field defined on a predefined biological network. This method provides a statistical framework for integrating the known biological network information into the analysis of genomic data. We present an iterated conditional mode algorithm for parameter estimation and for estimating the posterior probabilities using Gibbs sampling. We demonstrate the application of the proposed methods using simulations and analysis of a human brain aging microarray gene expression data set.
  Xiaojian Wang , Bin Liu , Nan Li , Hongzhe Li , Jianming Qiu , Yuanyuan Zhang and Xuetao Cao
  Protein phosphatase 1 (PP1) is a major serine/threonine phosphatase that controls gene expression and cell cycle progression. Here we describe the characterization of a novel inhibitory molecule for PP1, human inhibitor-5 of protein phosphatase 1 (IPP5). We find that IPP5, containing the PP1 inhibitory subunits, specifically interacts with the PP1 catalytic subunit and inhibits PP1 phosphatase activity. Furthermore, the mutation of Thr-40 within the inhibitory subunit of IPP5 into Ala eliminates the phosphorylation of IPP5 by protein kinase A and its inhibitor activity to PP1, whereas the mutation of Thr-40 within a truncated form of IPP5 into Asp can serve as a dominant active form of IPP5 in inhibiting PP1 activity. In IPP5-negative SW480 and IPP5-highly positive SW620 human colon cancer cells, we find that overexpression of IPP5 promotes the growth and accelerates the G1-S transition of SW480 cells in a Thr-40-dependent manner, which could be reversed by downregulation of the PP1 expression. Moreover, silencing of IPP5 inhibits the growth of SW620 cells both in vitro and in nude mice possibly by inducing G0/G1 arrest but not by promoting apoptosis. According to its role in the promotion of cell cycle progression and cell growth, IPP5 up-regulates the expression of cyclin E and the phosphorylated form of retinoblastoma protein. Our findings suggest that IPP5, by acting as an inhibitory molecule for PP1, can promote tumor cell growth and cell cycle progression, and may be a promising target in cancer therapeutics in IPP5-highly expressing tumor cells.
 
 
 
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