Literature DB >> 23231080

A systematic analysis of the predicted human La protein targets identified a hepatitis B virus infection signature.

J Tang1, Z-H Zhang, G-L Liu.   

Abstract

The human La (hLa) protein functions in RNA metabolism and is activated by casein kinase 2 (CK2) phosphorylation. Hepatitis B virus (HBV) can exploit hLa to stabilize its RNA and promote its pathogenesis. To enhance our knowledge of host molecular pathways involved in HBV pathogenesis, a bioinformatic approach was used to generate an expression profile of all predicted target genes of CK2-activated hLa in HBV-infected cells. A computerized literature search was performed to identify English language studies of HBV-, hLa- and CK2-related molecules. The data were pooled and the genes were classified in three functional groups by gene ontology (GO) analysis. HBV, hLa and CK2 targets were predicted, respectively, by a computational method, followed by screening for matching gene symbols in the NCBI human sequences, GO, pathway and network analyses. hLa targets and respective networks in the viral mechanisms of HBV were obtained by the final integrative analysis. Thirty-seven hub genes were identified by overlap calculation, suggesting that hLa may play an important role in the development and progression of HBV through cytokine-cytokine receptor interaction, hematopoietic cell lineage, cell adhesion molecules (CAMs), antigen processing and presentation, Jak-STAT signalling pathway, natural killer cell-mediated cytotoxicity, apoptosis, T-cell receptor signalling pathway, complement and coagulation cascades, protein export and other pathways. Our data may help researchers to predict the molecular mechanisms of hLa in the development and progression of HBV through CK2 comprehensively. Moreover, the present data indicate that hLa targets may be a series of promising candidates for HBV.
© 2012 Blackwell Publishing Ltd.

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Year:  2012        PMID: 23231080     DOI: 10.1111/j.1365-2893.2012.01626.x

Source DB:  PubMed          Journal:  J Viral Hepat        ISSN: 1352-0504            Impact factor:   3.728


  4 in total

1.  Systematic analysis of the p53-related microRNAs in breast cancer revealing their essential roles in the cell cycle.

Authors:  Enxiang Zhou; N A Hui; Min Shu; Baiping Wu; Jianlin Zhou
Journal:  Oncol Lett       Date:  2015-09-25       Impact factor: 2.967

2.  Bioinformatics analysis on multiple Gene Expression Omnibus datasets of the hepatitis B virus infection and its response to the interferon-alpha therapy.

Authors:  Zebin Zhu; Shanzhou Huang; Yixi Zhang; Chengjun Sun; Yunhua Tang; Qiang Zhao; Qi Zhou; Weiqiang Ju; Xiaoshun He
Journal:  BMC Infect Dis       Date:  2020-01-29       Impact factor: 3.090

Review 3.  Anti-HBV Drugs: Progress, Unmet Needs, and New Hope.

Authors:  Lei Kang; Jiaqian Pan; Jiaofen Wu; Jiali Hu; Qian Sun; Jing Tang
Journal:  Viruses       Date:  2015-09-15       Impact factor: 5.048

4.  Alteration of microRNA profiles by a novel inhibitor of human La protein in HBV-transformed human hepatoma cells.

Authors:  Jiaqian Pan; Shuangmei Tong; Jing Tang
Journal:  J Med Virol       Date:  2017-09-22       Impact factor: 2.327

  4 in total

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