Literature DB >> 17250817

RCAS1 induced by HIV-Tat is involved in the apoptosis of HIV-1 infected and uninfected CD4+ T cells.

Rumi Minami1, Masahiro Yamamoto, Soichiro Takahama, Tomoya Miyamura, Hideyuki Watanabe, Eiichi Suematsu.   

Abstract

HIV-1 infection is known to lead to a massive depletion of CD4(+) T cells, and the Fas/FasL and TRAIL/TRAIL-receptor systems have been reported to be one of the mechanisms of CD4(+) T cell apoptosis in HIV-1 infection. RCAS1 (a receptor-binding cancer antigen expressed on SiSo cells) is also an apoptosis-associated protein that induces apoptosis in receptor positive-cells including T cells, and NK cells. To investigate the role of RCAS1 in HIV-1 infection, we stimulated CD4(+) T cells, monocytes, and several cell lines by HIV-Tat protein and thus showed that Tat significantly increased the mRNA transcription levels and the secretion of soluble RCAS1 in CD4(+) T cells and monocytes. We also showed that the apoptosis induced by HIV-Tat was blocked by inhibiting the expression of RCAS1, using small interfering RNA (siRNA), which was specific for RCAS1. These results indicate that RCAS1 is one of the mechanisms of CD4(+) T cell depletion induced by HIV infection.

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Year:  2007        PMID: 17250817     DOI: 10.1016/j.cellimm.2006.11.003

Source DB:  PubMed          Journal:  Cell Immunol        ISSN: 0008-8749            Impact factor:   4.868


  7 in total

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Authors:  Amjad Ali; Sabihur Rahman Farooqui; Akhil C Banerjea
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2.  VDR hypermethylation and HIV-induced T cell loss.

Authors:  Nirupama Chandel; Mohammad Husain; Hersh Goel; Divya Salhan; Xiqian Lan; Ashwani Malhotra; Joseph McGowan; Pravin C Singhal
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Authors:  N W Cummins; A D Badley
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Authors:  Francesco Nicoli; Valentina Finessi; Mariaconcetta Sicurella; Lara Rizzotto; Eleonora Gallerani; Federica Destro; Aurelio Cafaro; Peggy Marconi; Antonella Caputo; Barbara Ensoli; Riccardo Gavioli
Journal:  PLoS One       Date:  2013-11-04       Impact factor: 3.240

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Authors:  Zukile Mbita; Rodney Hull; Zodwa Dlamini
Journal:  Viruses       Date:  2014-08-19       Impact factor: 5.048

7.  A NMF based approach for integrating multiple data sources to predict HIV-1-human PPIs.

Authors:  Sumanta Ray; Sanghamitra Bandyopadhyay
Journal:  BMC Bioinformatics       Date:  2016-03-08       Impact factor: 3.169

  7 in total

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