Literature DB >> 15892963

Nef enhances c-Cbl phosphorylation in HIV-infected CD4+ T lymphocytes.

Polung Yang1, Andrew J Henderson.   

Abstract

The multifunctional HIV-1 protein Nef possesses several motifs that interact with signaling molecules in infected T cells. In order to determine whether Nef influences T cell activation, cells were infected with Nef-positive and Nef-negative clones of HIV. CD28 expression and changes in tyrosine phosphorylation were monitored. We observed no Nef-dependent changes in CD28 expression or function. However, infection with Nef-positive virus led to changes in tyrosine phosphorylation. This Nef-induced phosphorylation was observed in unstimulated cells, and c-Cbl was identified as one of the proteins whose phosphorylation was upregulated by Nef. Furthermore, Lck is required for Nef-mediated c-Cbl tyrosine phosphorylation. These results suggest that Nef modifies T cell signaling in the absence of T cell receptor engagement and co-stimulation.

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Year:  2005        PMID: 15892963     DOI: 10.1016/j.virol.2005.03.021

Source DB:  PubMed          Journal:  Virology        ISSN: 0042-6822            Impact factor:   3.616


  7 in total

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Review 2.  Viral modulation of T-cell receptor signaling.

Authors:  Keith R Jerome
Journal:  J Virol       Date:  2008-02-20       Impact factor: 5.103

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Journal:  Gene Rep       Date:  2020-11-04

4.  Discovering regulated networks during HIV-1 latency and reactivation.

Authors:  Sourav Bandyopadhyay; Ryan Kelley; Trey Ideker
Journal:  Pac Symp Biocomput       Date:  2006

5.  Modulation of HIV pathogenesis and T-cell signaling by HIV-1 Nef.

Authors:  Shailendra K Saxena; Gaurav Shrivastava; Sneham Tiwari; Ml Arvinda Swamy; Madhavan Pn Nair
Journal:  Future Virol       Date:  2012-06-01       Impact factor: 1.831

Review 6.  CD4+ T Cell Subsets and Pathways to HIV Latency.

Authors:  Luis M Agosto; Andrew J Henderson
Journal:  AIDS Res Hum Retroviruses       Date:  2018-07-09       Impact factor: 2.205

7.  Computational analysis of HIV-1 resistance based on gene expression profiles and the virus-host interaction network.

Authors:  Tao Huang; Zhongping Xu; Lei Chen; Yu-Dong Cai; Xiangyin Kong
Journal:  PLoS One       Date:  2011-03-04       Impact factor: 3.240

  7 in total

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