Literature DB >> 15961134

A nuclear localization signal in the matrix of spleen necrosis virus (SNV) does not allow efficient gene transfer into quiescent cells with SNV-derived vectors.

Marie-Christine Caron1, Manuel Caruso.   

Abstract

A major limitation in gene therapy for vectors derived from Moloney murine leukemia virus (MLV) is that they only deliver genes into dividing cells. In this study, a careful comparison of spleen necrosis virus (SNV)-derived vectors with MLV and human immunodeficiency virus (HIV)-1 retroviral vectors indicated that SNV vectors can deliver genes 4-fold more efficiently than MLV vectors into aphidicolin-arrested cells, although at a 25-fold lower efficiency than HIV-1-derived vectors. Furthermore, the addition of a NLS in the SNV matrix (MA) that mimics the one located in HIV-1 MA did not increase the ability of SNV vectors to transfer genes into arrested cells. Also, we found that the RD114 envelope was able to pseudotype SNV viral particles in a very efficient manner.

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Year:  2005        PMID: 15961134     DOI: 10.1016/j.virol.2005.05.024

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


  4 in total

1.  High-throughput, library-based selection of a murine leukemia virus variant to infect nondividing cells.

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Journal:  J Virol       Date:  2006-09       Impact factor: 5.103

2.  Prototype foamy virus gag nuclear localization: a novel pathway among retroviruses.

Authors:  Erik Müllers; Kristin Stirnnagel; Sylvia Kaulfuss; Dirk Lindemann
Journal:  J Virol       Date:  2011-06-29       Impact factor: 5.103

3.  [A lentivirus vector based assay system for quantitative detection of intracellular translocations of recombinant proteins].

Authors:  S P Chumakov; G V Il'inskaia; Iu E Kravchenko; E I Frolova; V S Prasolov; P M Chumakov
Journal:  Mol Biol (Mosk)       Date:  2008 Nov-Dec

4.  Predicting the nuclear localization signals of 107 types of HPV L1 proteins by bioinformatic analysis.

Authors:  Jun Yang; Yi-Li Wang; Lü-Sheng Si
Journal:  Genomics Proteomics Bioinformatics       Date:  2006-02       Impact factor: 7.691

  4 in total

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